From 28e576bfa592d3061b96df32d3a2a64486b717f1 Mon Sep 17 00:00:00 2001 From: Rosalyn Date: Tue, 31 Jul 2018 15:07:45 +0100 Subject: [PATCH 001/429] adding theorycov module to vp_setupfit --- validphys2/src/validphys/scripts/vp_setupfit.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index d7d2d7ff70..81afca7fea 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -96,7 +96,7 @@ class SetupFitApp(App): def __init__(self): super(SetupFitApp, self).__init__(name='setup-fit', - providers=['validphys.filters']) + providers=['validphys.filters', 'validphys.theorycovariance']) @property def argparser(self): From 99e5716f356ee45021869d8a448b28df5c087f7e Mon Sep 17 00:00:00 2001 From: Rosalyn Date: Tue, 31 Jul 2018 15:48:14 +0100 Subject: [PATCH 002/429] adding theory_covmat action to vp_setupfit --- validphys2/src/validphys/scripts/vp_setupfit.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index 81afca7fea..ef000e8b47 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -85,7 +85,8 @@ def from_yaml(cls, o, *args, **kwargs): file_content['use_cuts'] = False file_content['actions_'] = ['datacuts check_t0pdfset', 'theory check_positivity', - 'datacuts::closuretest::theory::fitting filter'] + 'datacuts::closuretest::theory::fitting filter', + 'theory theory_covmat'] return cls(file_content, *args, ** kwargs) From 0d6ec6dc83896964cad2d8c3499abf06f7e76f78 Mon Sep 17 00:00:00 2001 From: Rosalyn Date: Tue, 31 Jul 2018 15:07:45 +0100 Subject: [PATCH 003/429] adding theorycov module to vp_setupfit --- validphys2/src/validphys/scripts/vp_setupfit.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index d7d2d7ff70..81afca7fea 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -96,7 +96,7 @@ class SetupFitApp(App): def __init__(self): super(SetupFitApp, self).__init__(name='setup-fit', - providers=['validphys.filters']) + providers=['validphys.filters', 'validphys.theorycovariance']) @property def argparser(self): From ad5f89dac060fc5f7823c476b99fddeb13b04435 Mon Sep 17 00:00:00 2001 From: Rosalyn Date: Tue, 31 Jul 2018 15:48:14 +0100 Subject: [PATCH 004/429] adding theory_covmat action to vp_setupfit --- validphys2/src/validphys/scripts/vp_setupfit.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index 81afca7fea..ef000e8b47 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -85,7 +85,8 @@ def from_yaml(cls, o, *args, **kwargs): file_content['use_cuts'] = False file_content['actions_'] = ['datacuts check_t0pdfset', 'theory check_positivity', - 'datacuts::closuretest::theory::fitting filter'] + 'datacuts::closuretest::theory::fitting filter', + 'theory theory_covmat'] return cls(file_content, *args, ** kwargs) From 5cf0b240d64f41f4dfbf2c7e2faba7216b0d0a58 Mon Sep 17 00:00:00 2001 From: voisey Date: Thu, 16 Aug 2018 16:03:21 +0100 Subject: [PATCH 005/429] Add validphys.results to the providers of the app. --- validphys2/src/validphys/scripts/vp_setupfit.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index ef000e8b47..7dec94e834 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -97,7 +97,7 @@ class SetupFitApp(App): def __init__(self): super(SetupFitApp, self).__init__(name='setup-fit', - providers=['validphys.filters', 'validphys.theorycovariance']) + providers=['validphys.filters', 'validphys.theorycovariance', 'validphys.results']) @property def argparser(self): From ccb53fbb9d4fa9b8e93f98badc087329c8c61ab1 Mon Sep 17 00:00:00 2001 From: voisey Date: Thu, 16 Aug 2018 17:42:33 +0100 Subject: [PATCH 006/429] Add patch to initialise output folders. --- validphys2/src/validphys/scripts/vp_setupfit.py | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index 7dec94e834..7e5ddcc40a 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -40,15 +40,10 @@ def init_output(self): # check if results folder exists self.output_path = pathlib.Path(self.output_path).absolute() - if self.output_path.exists(): - log.warning(f"Output folder exists: {self.output_path} Overwritting contents") - else: - if not re.fullmatch(r'[\w.\-]+', self.output_path.name): - raise SetupFitError("Invalid output folder name. Must be alphanumeric.") - try: - self.output_path.mkdir() - except OSError as e: - raise EnvironmentError_(e) from e + if not re.fullmatch(r'[\w.\-]+', self.output_path.name): + raise SetupFitError("Invalid output folder name. Must be alphanumeric.") + + super().init_output() try: shutil.copy2(self.config_yml, self.output_path / RUNCARD_COPY_FILENAME) From c7c8e58d7ff2a5bbbad6dee1fb6b83fe2a9716fa Mon Sep 17 00:00:00 2001 From: voisey Date: Fri, 17 Aug 2018 17:40:13 +0100 Subject: [PATCH 007/429] Tidy up long line in vp_setupfit.py --- validphys2/src/validphys/scripts/vp_setupfit.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index 7e5ddcc40a..5a64a288d7 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -92,7 +92,9 @@ class SetupFitApp(App): def __init__(self): super(SetupFitApp, self).__init__(name='setup-fit', - providers=['validphys.filters', 'validphys.theorycovariance', 'validphys.results']) + providers=['validphys.filters', + 'validphys.theorycovariance', + 'validphys.results']) @property def argparser(self): From 704f913a766b58ddc2832402879b85ad6c8e1a92 Mon Sep 17 00:00:00 2001 From: voisey Date: Fri, 17 Aug 2018 17:43:06 +0100 Subject: [PATCH 008/429] Add requirement that theory_covmat needs theorycovmatconfig namespace --- validphys2/src/validphys/scripts/vp_setupfit.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index 5a64a288d7..fa3aa228bc 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -81,7 +81,7 @@ def from_yaml(cls, o, *args, **kwargs): file_content['actions_'] = ['datacuts check_t0pdfset', 'theory check_positivity', 'datacuts::closuretest::theory::fitting filter', - 'theory theory_covmat'] + 'theory::theorycovmatconfig theory_covmat'] return cls(file_content, *args, ** kwargs) From 218119dd9b0ff72695b8f8ce4a4387c692c22241 Mon Sep 17 00:00:00 2001 From: voisey Date: Fri, 17 Aug 2018 17:59:39 +0100 Subject: [PATCH 009/429] Add (NNLO) theorycovmatconfig namespace to testconfig --- nnpdfcpp/config/testconfig.yml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/nnpdfcpp/config/testconfig.yml b/nnpdfcpp/config/testconfig.yml index 1ed9538cd8..7e5141a520 100644 --- a/nnpdfcpp/config/testconfig.yml +++ b/nnpdfcpp/config/testconfig.yml @@ -35,6 +35,13 @@ datacuts: theory: theoryid: 162 # database id +theorycovmatconfig: + theoryids: + - 162 + - 168 + - 167 + pdf: NNPDF31_nnlo_as_0118 + ############################################################ fitting: seed : 65532133529 # set the seed for the random generator From 12525162ac9778c2e8e0f923837a0e53dec88c95 Mon Sep 17 00:00:00 2001 From: voisey Date: Sat, 18 Aug 2018 00:01:20 +0100 Subject: [PATCH 010/429] Specify actions and providers in line with master --- .../src/validphys/scripts/vp_setupfit.py | 24 ++++++++++++------- 1 file changed, 16 insertions(+), 8 deletions(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index fa3aa228bc..8a8cd0d6e6 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -16,6 +16,20 @@ from reportengine.compat import yaml from reportengine import colors + +SETUPFIT_FIXED_CONFIG = dict( + use_cuts=False, + actions_=[ + 'datacuts check_t0pdfset', + 'theory check_positivity', + 'datacuts::closuretest::theory::fitting filter', + 'theory::theorycovmatconfig theory_covmat', + ]) + +SETUPFIT_PROVIDERS = ['validphys.filters', + 'validphys.theorycovariance', + 'validphys.results',] + log = logging.getLogger(__name__) RUNCARD_COPY_FILENAME = "filter.yml" @@ -77,11 +91,7 @@ def from_yaml(cls, o, *args, **kwargs): file_content = yaml.safe_load(o) except yaml.error.YAMLError as e: raise ConfigError(f"Failed to parse yaml file: {e}") - file_content['use_cuts'] = False - file_content['actions_'] = ['datacuts check_t0pdfset', - 'theory check_positivity', - 'datacuts::closuretest::theory::fitting filter', - 'theory::theorycovmatconfig theory_covmat'] + file_content.update(SETUPFIT_FIXED_CONFIG) return cls(file_content, *args, ** kwargs) @@ -92,9 +102,7 @@ class SetupFitApp(App): def __init__(self): super(SetupFitApp, self).__init__(name='setup-fit', - providers=['validphys.filters', - 'validphys.theorycovariance', - 'validphys.results']) + providers=SETUPFIT_PROVIDERS) @property def argparser(self): From bc7930b0f48de0da29b3f90ee2548cd92b29070d Mon Sep 17 00:00:00 2001 From: voisey Date: Sun, 9 Sep 2018 13:06:35 +0100 Subject: [PATCH 011/429] Output total covmat rather than theory covmat --- validphys2/src/validphys/scripts/vp_setupfit.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index 8a8cd0d6e6..9350e19c6f 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -23,7 +23,7 @@ 'datacuts check_t0pdfset', 'theory check_positivity', 'datacuts::closuretest::theory::fitting filter', - 'theory::theorycovmatconfig theory_covmat', + 'theory::theorycovmatconfig experimentsplustheory_covmat', ]) SETUPFIT_PROVIDERS = ['validphys.filters', From f60c6b5e55c049509b4b1b85e6a81378754025d2 Mon Sep 17 00:00:00 2001 From: voisey Date: Sun, 9 Sep 2018 13:27:34 +0100 Subject: [PATCH 012/429] Output t0 total covmat in addition to non-t0 covmat --- validphys2/src/validphys/scripts/vp_setupfit.py | 1 + 1 file changed, 1 insertion(+) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index 9350e19c6f..30769999bb 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -24,6 +24,7 @@ 'theory check_positivity', 'datacuts::closuretest::theory::fitting filter', 'theory::theorycovmatconfig experimentsplustheory_covmat', + 'datacuts::theory::theorycovmatconfig experimentsplustheory_covmat', ]) SETUPFIT_PROVIDERS = ['validphys.filters', From 232dfea7959380e387134620d4aab5fdeec53d63 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Fri, 27 Apr 2018 16:03:26 +0100 Subject: [PATCH 013/429] Add function to read in covmat for replica generation and add function to header (cherry picked from commit 6ab57ec25e46bbb88a2c7156923dad24b3dc9fb4) --- libnnpdf/src/NNPDF/experiments.h | 2 ++ libnnpdf/src/experiments.cc | 25 +++++++++++++++++++++++++ 2 files changed, 27 insertions(+) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index 60cc8b9e42..891f086957 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -90,6 +90,8 @@ namespace NNPDF void PullData(); //!< Pull experimental data from datasets void GenCovMat(); //!< Generate covmat and inverse + void LoadRepCovMat(); //!< Read in covmat for rep gen, generate covmat and sqrt + }; // Auxiliary tools for replica generation diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index 1a4315726b..e7c87f5d81 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -503,6 +503,31 @@ void Experiment::GenCovMat() fSqrtCov = ComputeSqrtMat(fCovMat); } +/** +* Read in covariance matrix for replica generation from file, and generate covariance matrix and its square root +*/ +void Experiment::LoadRepCovMat(string filename) +{ + ifstream f1; + f1.open(covmatfile.str().c_str(), ios::in); + + if (!f1.good()) { + throw FileError("Cannot read covariance matrix file from " + filename); + } + + for (int i=0; i> fCovMat(i, j); + } + } + + f1.close(); + + fSqrtCov = ComputeSqrtCov(fCovMat); +} + void Experiment::ExportCovMat(string filename) { ofstream outCovMat(filename.c_str()); From 4827df4b50b82b11463c105b7ab573af6d23633a Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Fri, 27 Apr 2018 16:58:53 +0100 Subject: [PATCH 014/429] Fix errors in LoadRepCovMat and in header (cherry picked from commit 8210c5dbcb529c50322cb5fba56e23bea2a492b9) --- libnnpdf/src/NNPDF/experiments.h | 2 +- libnnpdf/src/experiments.cc | 10 +++++++--- 2 files changed, 8 insertions(+), 4 deletions(-) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index 891f086957..3dc68ee7c8 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -90,7 +90,7 @@ namespace NNPDF void PullData(); //!< Pull experimental data from datasets void GenCovMat(); //!< Generate covmat and inverse - void LoadRepCovMat(); //!< Read in covmat for rep gen, generate covmat and sqrt + void LoadRepCovMat(std::string filename); //!< Read in covmat for rep gen, generate covmat and sqrt }; diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index e7c87f5d81..2772a8fa2b 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -508,13 +508,17 @@ void Experiment::GenCovMat() */ void Experiment::LoadRepCovMat(string filename) { + fCovMat.clear(); + fCovMat.resize(fNData, fNData, 0); + ifstream f1; - f1.open(covmatfile.str().c_str(), ios::in); + f1.open(filename.c_str(), ios::in); if (!f1.good()) { - throw FileError("Cannot read covariance matrix file from " + filename); + throw FileError("experiments", "Cannot read covariance matrix file from " + filename); } + string line; for (int i=0; i Date: Thu, 17 May 2018 15:01:17 +0100 Subject: [PATCH 015/429] Write function to read in validphys covmats and use in member functions to read in replica and fitting covmats (cherry picked from commit 8adf83ccf8b45654788a74e8f48403836de6c5d8) --- libnnpdf/src/experiments.cc | 69 +++++++++++++++++++++++++++---------- 1 file changed, 50 insertions(+), 19 deletions(-) diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index 2772a8fa2b..3947e7fa31 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -28,6 +28,38 @@ using namespace std; namespace NNPDF{ +matrix read_experiment_mat(const std::string filename) { + // Reads in covariance matrix for an experiment from pandas dataframe + ifstream f1; + f1.open(filename.c_str(), ios::in); + + if(!f1.good()) { + throw FileError("experiments", "Cannot read covariance matrix file from " + filename); + } + + // Skip first four lines (headers) + for (int i = 0; i < 4; i++) { + read.ignore(fNData, '\n') + } + + double mat[fNData][fNData]; + string line, exp_name, dataset_name; + double row_number; + for (int i = 0; i < fNData; i++) { + getline(f1, line); + istringstream lstream(line); + // Skip over first three elements of line + lstream >> exp_name >> dataset_name >> row_number; + for (int j = 0; j < fNData; j++) { + lstream >> mat[i][j]; + } + } + + f1.close(); + + return mat; +} + /** * Constructor */ @@ -74,6 +106,10 @@ fData(NULL), fT0Pred(NULL), fCovMat(exp.fCovMat), fSqrtCov(exp.fSqrtCov), +fRepCovMat(exp.fRepCovMat), +fSqrtRepCov(exp.fSqrtRepCov), +fFitCovMat(exp.fFitCovMat), +fSqrtFitCov(exp.fSqrtFitCov), fStat(NULL), fSys(NULL), fSetSysMap(NULL), @@ -508,28 +544,23 @@ void Experiment::GenCovMat() */ void Experiment::LoadRepCovMat(string filename) { - fCovMat.clear(); - fCovMat.resize(fNData, fNData, 0); + fRepCovMat.clear(); + fRepCovMat.resize(fNData, fNData, 0); - ifstream f1; - f1.open(filename.c_str(), ios::in); - - if (!f1.good()) { - throw FileError("experiments", "Cannot read covariance matrix file from " + filename); - } - - string line; - for (int i=0; i> fCovMat(i, j); - } - } + fRepCovMat = read_experiment_mat(filename); + fSqrtRepCov = ComputeSqrtMat(fRepCovMat); +} - f1.close(); +/** +* Read in covariance matrix to be used in fit from file, and generate covariance matrix and its square root +*/ +void Experiment::LoadRepCovMat(string filename) +{ + fFitCovMat.clear(); + fFitCovMat.resize(fNData, fNData, 0); - fSqrtCov = ComputeSqrtMat(fCovMat); + fFitCovMat = read_experiment_mat(filename); + fSqrtFitCov = ComputeSqrtMat(fRepFitMat); } void Experiment::ExportCovMat(string filename) From 8e191b0067acab53421890f6af5b1d31a605fdd7 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Thu, 17 May 2018 15:04:17 +0100 Subject: [PATCH 016/429] Fix incorrect name in experiments.cc and add LoadFitCovMat to header (cherry picked from commit e7ca375727c7be417741784c4d7ca6885fa0e1b3) --- libnnpdf/src/NNPDF/experiments.h | 1 + libnnpdf/src/experiments.cc | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index 3dc68ee7c8..8e6a439788 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -91,6 +91,7 @@ namespace NNPDF void GenCovMat(); //!< Generate covmat and inverse void LoadRepCovMat(std::string filename); //!< Read in covmat for rep gen, generate covmat and sqrt + void LoadFitCovMat(std::string filename); //!< Read in covmat for fitting, generate covmat and sqrt }; diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index 3947e7fa31..fc16fd102c 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -554,7 +554,7 @@ void Experiment::LoadRepCovMat(string filename) /** * Read in covariance matrix to be used in fit from file, and generate covariance matrix and its square root */ -void Experiment::LoadRepCovMat(string filename) +void Experiment::LoadFitCovMat(string filename) { fFitCovMat.clear(); fFitCovMat.resize(fNData, fNData, 0); From 5e641701a287f88ddda60a90e61fd73e244e9682 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Tue, 29 May 2018 23:49:16 +0100 Subject: [PATCH 017/429] Add new covmats and sqrt covmats to header (cherry picked from commit 9038cf53eeb0331c82887fad901d2c48b0a828b1) --- libnnpdf/src/NNPDF/experiments.h | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index 8e6a439788..968f15563b 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -75,6 +75,11 @@ namespace NNPDF matrix fCovMat; //!< The covariance matrix matrix fSqrtCov; //!< The Cholesky decomposition of the covariance matrix + matrix fRepCovMat; //!< The total covmat for replica generation + matrix fSqrtRepCov; //!< The Cholesky decomposition of the total replica generation covmat + matrix fFitCovMat; //!< The total covmat for fitting + matrix fSqrtFitCov; //!< The Cholesky decomposition of the total fitting covmat + double *fStat; //!< The statistical errors sysError **fSys; //!< The syscor From 85b81422a180acaa7a10cf9f33d87d4975ebfc8c Mon Sep 17 00:00:00 2001 From: voisey Date: Thu, 20 Sep 2018 10:17:13 +0100 Subject: [PATCH 018/429] Rename read_experiment_mat as read_total_covmat --- libnnpdf/src/experiments.cc | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index fc16fd102c..251809a30e 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -28,7 +28,7 @@ using namespace std; namespace NNPDF{ -matrix read_experiment_mat(const std::string filename) { +matrix read_total_covmat(const std::string filename) { // Reads in covariance matrix for an experiment from pandas dataframe ifstream f1; f1.open(filename.c_str(), ios::in); @@ -547,7 +547,7 @@ void Experiment::LoadRepCovMat(string filename) fRepCovMat.clear(); fRepCovMat.resize(fNData, fNData, 0); - fRepCovMat = read_experiment_mat(filename); + fRepCovMat = read_total_covmat(filename); fSqrtRepCov = ComputeSqrtMat(fRepCovMat); } @@ -559,7 +559,7 @@ void Experiment::LoadFitCovMat(string filename) fFitCovMat.clear(); fFitCovMat.resize(fNData, fNData, 0); - fFitCovMat = read_experiment_mat(filename); + fFitCovMat = read_total_covmat(filename); fSqrtFitCov = ComputeSqrtMat(fRepFitMat); } From 4db5704af7dad0a61659330dc4a0fe34f39ef269 Mon Sep 17 00:00:00 2001 From: voisey Date: Thu, 20 Sep 2018 17:55:29 +0100 Subject: [PATCH 019/429] Edits with SC --- libnnpdf/src/experiments.cc | 27 +++++++++++---------------- 1 file changed, 11 insertions(+), 16 deletions(-) diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index 251809a30e..9f8c63a16b 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -28,7 +28,7 @@ using namespace std; namespace NNPDF{ -matrix read_total_covmat(const std::string filename) { +matrix read_total_covmat(const std::string filename, int NData) { // Reads in covariance matrix for an experiment from pandas dataframe ifstream f1; f1.open(filename.c_str(), ios::in); @@ -37,21 +37,22 @@ matrix read_total_covmat(const std::string filename) { throw FileError("experiments", "Cannot read covariance matrix file from " + filename); } + string line, exp_name, dataset_name; + // Skip first four lines (headers) for (int i = 0; i < 4; i++) { - read.ignore(fNData, '\n') + getline(f1, line); } - double mat[fNData][fNData]; - string line, exp_name, dataset_name; + matrix mat(NData,NData); double row_number; - for (int i = 0; i < fNData; i++) { + for (int i = 0; i < NData; i++) { getline(f1, line); istringstream lstream(line); // Skip over first three elements of line lstream >> exp_name >> dataset_name >> row_number; - for (int j = 0; j < fNData; j++) { - lstream >> mat[i][j]; + for (int j = 0; j < NData; j++) { + lstream >> mat(i,j); } } @@ -544,10 +545,7 @@ void Experiment::GenCovMat() */ void Experiment::LoadRepCovMat(string filename) { - fRepCovMat.clear(); - fRepCovMat.resize(fNData, fNData, 0); - - fRepCovMat = read_total_covmat(filename); + fRepCovMat = read_total_covmat(filename, fNData); fSqrtRepCov = ComputeSqrtMat(fRepCovMat); } @@ -556,11 +554,8 @@ void Experiment::LoadRepCovMat(string filename) */ void Experiment::LoadFitCovMat(string filename) { - fFitCovMat.clear(); - fFitCovMat.resize(fNData, fNData, 0); - - fFitCovMat = read_total_covmat(filename); - fSqrtFitCov = ComputeSqrtMat(fRepFitMat); + fFitCovMat = read_total_covmat(filename, fNData); + fSqrtFitCov = ComputeSqrtMat(fFitCovMat); } void Experiment::ExportCovMat(string filename) From 6f423bc9a05cf2526e8e84b3d2acb0c0f8faa625 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 22 Oct 2018 12:30:51 +0100 Subject: [PATCH 020/429] continuing from covmat_cuts branch --- validphys2/src/validphys/theorycovariance.py | 90 ++++++++++++++++++++ 1 file changed, 90 insertions(+) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index e6ccb561bb..a57dc6cad4 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -885,3 +885,93 @@ def plot_matched_datasets_shift_matrix_correlations( index=matched_datasets_shift_matrix.index) return plot_corrmat_heatmap( corrmat, "Shift outer product normalized (correlation) matrix") + +all_matched_results = collect('matched_dataspecs_results', + ['matched_datasets_from_dataspecs']) + +def combine_by_type2(process_lookup, all_matched_results, dataset_names): + return combine_by_type(process_lookup, all_matched_results, dataset_names) + +datapsecs_theoryids = collect('theoryid', ['dataspecs']) + +def process_starting_points2(combine_by_type2): + return process_starting_points(combine_by_type2) + +@make_argcheck +def _check_correct_theory_combination_dataspecs(datapsecs_theoryids, + fivetheories): + return _check_correct_theory_combination.__wrapped__( + datapsecs_theoryids, fivetheories) + +#@_check_correct_theory_combination_dataspecs +def covs_pt_prescrip2(combine_by_type2, + process_starting_points2, + datapsecs_theoryids, + fivetheories: (str, type(None)) = None): + return covs_pt_prescrip(combine_by_type2, process_starting_points2, + datapsecs_theoryids, fivetheories) + +def covmap2(combine_by_type2, dataset_names): + return covmap(combine_by_type2, dataset_names) + +matched_dataspecs_experiment_name = collect( + 'experiment_name', ['matched_datasets_from_dataspecs']) +matched_dataspecs_dataset_name = collect( + 'dataset_name', ['matched_datasets_from_dataspecs']) +matched_cuts_datasets = collect('dataset', ['dataspecs_with_matched_cuts']) +all_matched_datasets = collect('matched_cuts_datasets', + ['matched_datasets_from_dataspecs']) + + +def all_matched_data_lengths(all_matched_datasets): + lens = [] + for rlist in all_matched_datasets: + lens.append(rlist[0].load().GetNData()) + return lens + +def matched_experiments_index(matched_dataspecs_experiment_name, + matched_dataspecs_dataset_name, + all_matched_data_lengths): + + enames = matched_dataspecs_experiment_name + dsnames = matched_dataspecs_dataset_name + lens = all_matched_data_lengths + #build index + expnames = np.concatenate([ + np.full(l, ename, dtype=object) + for (l, ename) in zip(lens, enames) + ]) + dsnames = np.concatenate([ + np.full(l, dsname, dtype=object) + for (l, dsname) in zip(lens, dsnames) + ]) + point_indexes = np.concatenate([ + np.arange(l) + for l in lens + ]) + + index = pd.MultiIndex.from_arrays( + [expnames, dsnames, point_indexes], + names=["Experiment name", "Dataset name", "Point"]) + return index + +@table +def theory_covmat_custom2(covs_pt_prescrip2, covmap2, + matched_experiments_index): + return theory_covmat_custom(covs_pt_prescrip2, covmap2, + matched_experiments_index) + +@table +def theory_corrmat_custom2(theory_covmat_custom2): + """Calculates the theory correlation matrix for scale variations + with variations by process type""" + mat = theory_corrmat(theory_covmat_custom2) + return mat + +@figure +def plot_thcorrmat_heatmap_custom2(theory_corrmat_custom2, theoryids): + """Matrix plot of the theory correlation matrix, correlations by process type""" + l = len(theoryids) + fig = plot_corrmat_heatmap(theory_corrmat_custom2, + f"Theory correlation matrix for {l} points") + return fig From bae8d6c9a510a583421fb541f7947c8966a85150 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 22 Oct 2018 13:56:08 +0100 Subject: [PATCH 021/429] changing 2 to dataspecs --- validphys2/src/validphys/theorycovariance.py | 28 ++++++++++---------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index a57dc6cad4..1662ed55ec 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -889,13 +889,13 @@ def plot_matched_datasets_shift_matrix_correlations( all_matched_results = collect('matched_dataspecs_results', ['matched_datasets_from_dataspecs']) -def combine_by_type2(process_lookup, all_matched_results, dataset_names): +def combine_by_type_dataspecs(process_lookup, all_matched_results, dataset_names): return combine_by_type(process_lookup, all_matched_results, dataset_names) datapsecs_theoryids = collect('theoryid', ['dataspecs']) -def process_starting_points2(combine_by_type2): - return process_starting_points(combine_by_type2) +def process_starting_points_dataspecs(combine_by_type_dataspecs): + return process_starting_points(combine_by_type_dataspecs) @make_argcheck def _check_correct_theory_combination_dataspecs(datapsecs_theoryids, @@ -904,15 +904,15 @@ def _check_correct_theory_combination_dataspecs(datapsecs_theoryids, datapsecs_theoryids, fivetheories) #@_check_correct_theory_combination_dataspecs -def covs_pt_prescrip2(combine_by_type2, - process_starting_points2, +def covs_pt_prescrip_dataspecs(combine_by_type_dataspecs, + process_starting_points_dataspecs, datapsecs_theoryids, fivetheories: (str, type(None)) = None): - return covs_pt_prescrip(combine_by_type2, process_starting_points2, + return covs_pt_prescrip(combine_by_type_dataspecs, process_starting_points_dataspecs, datapsecs_theoryids, fivetheories) -def covmap2(combine_by_type2, dataset_names): - return covmap(combine_by_type2, dataset_names) +def covmap2(combine_by_type_dataspecs, dataset_names): + return covmap(combine_by_type_dataspecs, dataset_names) matched_dataspecs_experiment_name = collect( 'experiment_name', ['matched_datasets_from_dataspecs']) @@ -956,22 +956,22 @@ def matched_experiments_index(matched_dataspecs_experiment_name, return index @table -def theory_covmat_custom2(covs_pt_prescrip2, covmap2, +def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, matched_experiments_index): - return theory_covmat_custom(covs_pt_prescrip2, covmap2, + return theory_covmat_custom(covs_pt_prescrip_dataspecs, covmap_dataspecs, matched_experiments_index) @table -def theory_corrmat_custom2(theory_covmat_custom2): +def theory_corrmat_custom_dataspecs(theory_covmat_custom_dataspecs): """Calculates the theory correlation matrix for scale variations with variations by process type""" - mat = theory_corrmat(theory_covmat_custom2) + mat = theory_corrmat(theory_covmat_custom_dataspecs) return mat @figure -def plot_thcorrmat_heatmap_custom2(theory_corrmat_custom2, theoryids): +def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, theoryids): """Matrix plot of the theory correlation matrix, correlations by process type""" l = len(theoryids) - fig = plot_corrmat_heatmap(theory_corrmat_custom2, + fig = plot_corrmat_heatmap(theory_corrmat_custom_dataspecs, f"Theory correlation matrix for {l} points") return fig From 03ed276fd6f3c47bf4a121f6675a9d4c9cc12ed6 Mon Sep 17 00:00:00 2001 From: Zahari Kassabov Date: Mon, 22 Oct 2018 17:57:58 +0100 Subject: [PATCH 022/429] Fix dataset_names for daataspecs collection This was out of sync because we were zipping the results with the datasets, as ordered in the original experiments, rather than the datasets as ordered by matched_datasets_from_dataspecs. --- validphys2/src/validphys/theorycovariance.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 1662ed55ec..a7c91f8c50 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -889,8 +889,8 @@ def plot_matched_datasets_shift_matrix_correlations( all_matched_results = collect('matched_dataspecs_results', ['matched_datasets_from_dataspecs']) -def combine_by_type_dataspecs(process_lookup, all_matched_results, dataset_names): - return combine_by_type(process_lookup, all_matched_results, dataset_names) +def combine_by_type_dataspecs(process_lookup, all_matched_results, matched_dataspecs_dataset_name): + return combine_by_type(process_lookup, all_matched_results, matched_dataspecs_dataset_name) datapsecs_theoryids = collect('theoryid', ['dataspecs']) @@ -911,8 +911,8 @@ def covs_pt_prescrip_dataspecs(combine_by_type_dataspecs, return covs_pt_prescrip(combine_by_type_dataspecs, process_starting_points_dataspecs, datapsecs_theoryids, fivetheories) -def covmap2(combine_by_type_dataspecs, dataset_names): - return covmap(combine_by_type_dataspecs, dataset_names) +def covmap_dataspecs(combine_by_type_dataspecs, matched_dataspecs_dataset_name): + return covmap(combine_by_type_dataspecs, matched_dataspecs_dataset_name) matched_dataspecs_experiment_name = collect( 'experiment_name', ['matched_datasets_from_dataspecs']) From 09a06fcf6228ae54858c8fb5f78c1cc9243229fb Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 24 Oct 2018 11:57:05 +0100 Subject: [PATCH 023/429] working on production rule for combination --- validphys2/src/validphys/config.py | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index feab2ba24d..82cc49c0b8 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -30,7 +30,7 @@ log = logging.getLogger(__name__) - +from IPython import embed class Environment(Environment): """Container for information to be filled at run time""" @@ -566,6 +566,16 @@ def produce_dataspecs_with_matched_cuts(self, dataspecs): res.append(ChainMap({'dataset': newds}, spec)) return res + def produce_combined_shift_and_theory_dataspecs(self, theoryconfig, shiftconfig): + total_dataspecs = theoryconfig['dataspecs'] + shiftconfig['dataspecs'] + embed() + matched_datasets = self.produce_matched_datasets_from_dataspecs(total_dataspecs) + + # matched_datasets = produce_matched_datasets_from_dataspecs(total_dataspecs) + # matched_datasets_with_cuts = produce_dataspecs_with_matched_cuts(matched_datasets) + print(total_dataspecs) + return total_dataspecs + #TODO: Worth it to do some black magic to not pass params explicitly? #Note that `parse_experiments` doesn't exist yet. From 48093ebab12b450c484d3d85ade966833c5c2063 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 24 Oct 2018 13:23:26 +0100 Subject: [PATCH 024/429] applying matched cuts to combined dataspecs --- validphys2/src/validphys/config.py | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 82cc49c0b8..95b43a6e36 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -568,13 +568,12 @@ def produce_dataspecs_with_matched_cuts(self, dataspecs): def produce_combined_shift_and_theory_dataspecs(self, theoryconfig, shiftconfig): total_dataspecs = theoryconfig['dataspecs'] + shiftconfig['dataspecs'] - embed() matched_datasets = self.produce_matched_datasets_from_dataspecs(total_dataspecs) - - # matched_datasets = produce_matched_datasets_from_dataspecs(total_dataspecs) - # matched_datasets_with_cuts = produce_dataspecs_with_matched_cuts(matched_datasets) - print(total_dataspecs) - return total_dataspecs + matched_dataspecs_with_cuts = [] + for exp in matched_datasets: + matched_dataspecs_with_cuts.append(self.produce_dataspecs_with_matched_cuts(exp['dataspecs'])) + print(len(matched_dataspecs_with_cuts)) + return 0 #TODO: Worth it to do some black magic to not pass params explicitly? From 43868f65b0d62df9ae3920f41ee2aeeb8742e099 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 24 Oct 2018 16:30:46 +0100 Subject: [PATCH 025/429] replacing shiftconfig and theoryconfig with matched datasets --- validphys2/src/validphys/config.py | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 95b43a6e36..600e973c10 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -572,8 +572,17 @@ def produce_combined_shift_and_theory_dataspecs(self, theoryconfig, shiftconfig) matched_dataspecs_with_cuts = [] for exp in matched_datasets: matched_dataspecs_with_cuts.append(self.produce_dataspecs_with_matched_cuts(exp['dataspecs'])) - print(len(matched_dataspecs_with_cuts)) - return 0 + #for i in range(len(matched_datasets)): + # matched_datasets[0] = self.produce_dataspecs_with_matched_cuts(matched_datasets[i]['dataspecs']) + final_res = [{}]*len(total_dataspecs) + for ispec, spec in enumerate(final_res): + for ds in matched_dataspecs_with_cuts: + final_res[ispec] = ChainMap(ds[ispec], final_res[ispec]) + new_theoryconfig = final_res[:len(theoryconfig)] + new_shiftconfig = final_res[len(theoryconfig):] + # print(final_res[0]) + return {'shiftconfig': ChainMap({'dataspecs': new_shiftconfig}, shiftconfig), + 'theoryconfig': ChainMap({'dataspecs': new_theoryconfig}, theoryconfig)} #TODO: Worth it to do some black magic to not pass params explicitly? From 82ac339473d6657616f0d35e4f9937feac4ceb8d Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 25 Oct 2018 13:56:01 +0100 Subject: [PATCH 026/429] updating produce_combined_shifts function --- validphys2/src/validphys/config.py | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 600e973c10..1f87f355ee 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -567,22 +567,22 @@ def produce_dataspecs_with_matched_cuts(self, dataspecs): return res def produce_combined_shift_and_theory_dataspecs(self, theoryconfig, shiftconfig): - total_dataspecs = theoryconfig['dataspecs'] + shiftconfig['dataspecs'] + total_dataspecs = theoryconfig["dataspecs"] + shiftconfig["dataspecs"] matched_datasets = self.produce_matched_datasets_from_dataspecs(total_dataspecs) - matched_dataspecs_with_cuts = [] - for exp in matched_datasets: - matched_dataspecs_with_cuts.append(self.produce_dataspecs_with_matched_cuts(exp['dataspecs'])) - #for i in range(len(matched_datasets)): - # matched_datasets[0] = self.produce_dataspecs_with_matched_cuts(matched_datasets[i]['dataspecs']) - final_res = [{}]*len(total_dataspecs) - for ispec, spec in enumerate(final_res): - for ds in matched_dataspecs_with_cuts: - final_res[ispec] = ChainMap(ds[ispec], final_res[ispec]) - new_theoryconfig = final_res[:len(theoryconfig)] - new_shiftconfig = final_res[len(theoryconfig):] - # print(final_res[0]) - return {'shiftconfig': ChainMap({'dataspecs': new_shiftconfig}, shiftconfig), - 'theoryconfig': ChainMap({'dataspecs': new_theoryconfig}, theoryconfig)} + final_res = [ + self.produce_dataspecs_with_matched_cuts(ds["dataspecs"]) + for ds in matched_datasets + ] + new_theoryconfig = [] + new_shiftconfig = [] + len_th = len(theoryconfig['dataspecs']) + for s in final_res: + new_theoryconfig.append({"dataspecs": s[:len_th]}) + new_shiftconfig.append({"dataspecs": s[len_th:]}) + return { + "shiftconfig": ChainMap({"dataspecs": new_shiftconfig}, shiftconfig), + "theoryconfig": ChainMap({"dataspecs": new_theoryconfig}, theoryconfig), + } #TODO: Worth it to do some black magic to not pass params explicitly? From 43bcb7216a1df6ca139b6a04dc460ff99718b480 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 25 Oct 2018 21:39:53 +0100 Subject: [PATCH 027/429] adding functions for shift theory ratio plot --- validphys2/src/validphys/config.py | 16 +++---- validphys2/src/validphys/theorycovariance.py | 50 ++++++++++++++++---- 2 files changed, 49 insertions(+), 17 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 1f87f355ee..d47393352d 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -569,19 +569,17 @@ def produce_dataspecs_with_matched_cuts(self, dataspecs): def produce_combined_shift_and_theory_dataspecs(self, theoryconfig, shiftconfig): total_dataspecs = theoryconfig["dataspecs"] + shiftconfig["dataspecs"] matched_datasets = self.produce_matched_datasets_from_dataspecs(total_dataspecs) - final_res = [ - self.produce_dataspecs_with_matched_cuts(ds["dataspecs"]) - for ds in matched_datasets - ] + for ns in matched_datasets: + ns["dataspecs"] = self.produce_dataspecs_with_matched_cuts(ns["dataspecs"]) new_theoryconfig = [] new_shiftconfig = [] len_th = len(theoryconfig['dataspecs']) - for s in final_res: - new_theoryconfig.append({"dataspecs": s[:len_th]}) - new_shiftconfig.append({"dataspecs": s[len_th:]}) + for s in matched_datasets: + new_theoryconfig.append(ChainMap({"dataspecs": s['dataspecs'][:len_th]}, s)) + new_shiftconfig.append(ChainMap({"dataspecs": s['dataspecs'][len_th:]}, s)) return { - "shiftconfig": ChainMap({"dataspecs": new_shiftconfig}, shiftconfig), - "theoryconfig": ChainMap({"dataspecs": new_theoryconfig}, theoryconfig), + "shiftconfig": {"dataspecs": new_shiftconfig, "original": shiftconfig}, + "theoryconfig": {"dataspecs": new_theoryconfig, "original": theoryconfig} } diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index a7c91f8c50..03103efc49 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -28,6 +28,8 @@ log = logging.getLogger(__name__) +from IPython import embed + theoryids_experiments_central_values = collect(experiments_central_values, ('theoryids',)) @@ -813,7 +815,7 @@ def plot_datasets_chi2_theory(experiments, return fig -matched_dataspecs_results = collect('results', ['dataspecs_with_matched_cuts']) +matched_dataspecs_results = collect('results', ['dataspecs']) LabeledShifts = namedtuple('LabeledShifts', ('experiment_name', 'dataset_name', 'shifts')) @@ -832,7 +834,7 @@ def dataspecs_dataset_prediction_shift(matched_dataspecs_results, experiment_nam experiment_name=experiment_name, shifts=res) matched_dataspecs_dataset_prediction_shift = collect( - 'dataspecs_dataset_prediction_shift', ['matched_datasets_from_dataspecs']) + 'dataspecs_dataset_prediction_shift', ['dataspecs']) #Not sure we want to export this, as it is 231 Mb... @@ -887,12 +889,12 @@ def plot_matched_datasets_shift_matrix_correlations( corrmat, "Shift outer product normalized (correlation) matrix") all_matched_results = collect('matched_dataspecs_results', - ['matched_datasets_from_dataspecs']) + ['dataspecs']) def combine_by_type_dataspecs(process_lookup, all_matched_results, matched_dataspecs_dataset_name): return combine_by_type(process_lookup, all_matched_results, matched_dataspecs_dataset_name) -datapsecs_theoryids = collect('theoryid', ['dataspecs']) +datapsecs_theoryids = collect('theoryid', ['theoryconfig', 'original', 'dataspecs']) def process_starting_points_dataspecs(combine_by_type_dataspecs): return process_starting_points(combine_by_type_dataspecs) @@ -915,12 +917,12 @@ def covmap_dataspecs(combine_by_type_dataspecs, matched_dataspecs_dataset_name): return covmap(combine_by_type_dataspecs, matched_dataspecs_dataset_name) matched_dataspecs_experiment_name = collect( - 'experiment_name', ['matched_datasets_from_dataspecs']) + 'experiment_name', ['dataspecs']) matched_dataspecs_dataset_name = collect( - 'dataset_name', ['matched_datasets_from_dataspecs']) -matched_cuts_datasets = collect('dataset', ['dataspecs_with_matched_cuts']) + 'dataset_name', ['dataspecs']) +matched_cuts_datasets = collect('dataset', ['dataspecs']) all_matched_datasets = collect('matched_cuts_datasets', - ['matched_datasets_from_dataspecs']) + ['dataspecs']) def all_matched_data_lengths(all_matched_datasets): @@ -961,6 +963,36 @@ def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, return theory_covmat_custom(covs_pt_prescrip_dataspecs, covmap_dataspecs, matched_experiments_index) +thx_corrmat = collect('theory_corrmat_custom_dataspecs', + ['combined_shift_and_theory_dataspecs', 'theoryconfig']) + +shx_corrmat = collect('matched_datasets_shift_matrix', + ['combined_shift_and_theory_dataspecs', 'shiftconfig']) + +@table +def shift_to_theory_ratio(thx_corrmat, shx_corrmat): + ratio = shx_corrmat[0]/thx_corrmat[0] + return ratio + +@figure +def shift_to_theory_ratio_plot(shift_to_theory_ratio): + fig = plot_corrmat_heatmap(shift_to_theory_ratio, + "Shift to theory ratio matrix") + return fig + +@figure +def shift_corrmat_plot(shx_corrmat): + fig = plot_corrmat_heatmap(shx_corrmat[0], + "Shift correlation matrix") + return fig + +@figure +def theory_corrmat_plot(thx_corrmat): + fig = plot_corrmat_heatmap(thx_corrmat[0], + "Theory correlation matrix") + return fig + + @table def theory_corrmat_custom_dataspecs(theory_covmat_custom_dataspecs): """Calculates the theory correlation matrix for scale variations @@ -975,3 +1007,5 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the fig = plot_corrmat_heatmap(theory_corrmat_custom_dataspecs, f"Theory correlation matrix for {l} points") return fig + + From 15947004e078f5cc13cfe5c1da1d47b9e291e5a9 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 26 Oct 2018 09:17:07 +0100 Subject: [PATCH 028/429] fixing shift correlation matrix plot --- validphys2/src/validphys/theorycovariance.py | 22 ++++++++++++-------- 1 file changed, 13 insertions(+), 9 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 03103efc49..8b33c3aa88 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -28,8 +28,6 @@ log = logging.getLogger(__name__) -from IPython import embed - theoryids_experiments_central_values = collect(experiments_central_values, ('theoryids',)) @@ -872,12 +870,8 @@ def plot_matched_datasets_shift_matrix(matched_datasets_shift_matrix): return plot_covmat_heatmap(matched_datasets_shift_matrix, "Shift outer product matrix") -@figure -def plot_matched_datasets_shift_matrix_correlations( - matched_datasets_shift_matrix): - """Heatmap plot of the correlations of - matched_datasets_shift_matrix. By construction these are - zero or one.""" +@table +def matched_datasets_shift_matrix_correlations(matched_datasets_shift_matrix): mat = matched_datasets_shift_matrix.values diag_minus_half = (np.diagonal(mat))**(-0.5) corrmat = diag_minus_half[:, np.newaxis] * mat * diag_minus_half @@ -885,6 +879,16 @@ def plot_matched_datasets_shift_matrix_correlations( corrmat, columns=matched_datasets_shift_matrix.columns, index=matched_datasets_shift_matrix.index) + return corrmat + + +@figure +def plot_matched_datasets_shift_matrix_correlations( + matched_datasets_shift_matrix): + """Heatmap plot of the correlations of + matched_datasets_shift_matrix. By construction these are + zero or one.""" + corrmat = matched_datasets_shift_matrix_correlations return plot_corrmat_heatmap( corrmat, "Shift outer product normalized (correlation) matrix") @@ -966,7 +970,7 @@ def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, thx_corrmat = collect('theory_corrmat_custom_dataspecs', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) -shx_corrmat = collect('matched_datasets_shift_matrix', +shx_corrmat = collect('matched_datasets_shift_matrix_correlations', ['combined_shift_and_theory_dataspecs', 'shiftconfig']) @table From 29ee7587f623f9486be814ef0b4589d1fa91a703 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 26 Oct 2018 14:49:41 +0100 Subject: [PATCH 029/429] adding functions to compare elements in matrices --- validphys2/src/validphys/theorycovariance.py | 54 +++++++++++++++++--- 1 file changed, 48 insertions(+), 6 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 8b33c3aa88..44920e5a97 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -26,6 +26,8 @@ from validphys import plotutils from validphys.checks import check_two_dataspecs +from IPython import embed + log = logging.getLogger(__name__) theoryids_experiments_central_values = collect(experiments_central_values, @@ -880,7 +882,7 @@ def matched_datasets_shift_matrix_correlations(matched_datasets_shift_matrix): columns=matched_datasets_shift_matrix.columns, index=matched_datasets_shift_matrix.index) return corrmat - + @figure def plot_matched_datasets_shift_matrix_correlations( @@ -967,21 +969,21 @@ def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, return theory_covmat_custom(covs_pt_prescrip_dataspecs, covmap_dataspecs, matched_experiments_index) -thx_corrmat = collect('theory_corrmat_custom_dataspecs', +thx_corrmat = collect('theory_corrmat_custom_dataspecs', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) -shx_corrmat = collect('matched_datasets_shift_matrix_correlations', +shx_corrmat = collect('matched_datasets_shift_matrix_correlations', ['combined_shift_and_theory_dataspecs', 'shiftconfig']) @table def shift_to_theory_ratio(thx_corrmat, shx_corrmat): - ratio = shx_corrmat[0]/thx_corrmat[0] + ratio = thx_corrmat[0]/shx_corrmat[0] return ratio @figure def shift_to_theory_ratio_plot(shift_to_theory_ratio): - fig = plot_corrmat_heatmap(shift_to_theory_ratio, - "Shift to theory ratio matrix") + fig = plot_corrmat_heatmap(shift_to_theory_ratio, + "Ratio of theory to shift correlation matrices") return fig @figure @@ -996,6 +998,46 @@ def theory_corrmat_plot(thx_corrmat): "Theory correlation matrix") return fig +@table +def shift_corrmat_value_fractions(shx_corrmat): + mat = shx_corrmat[0].values + matsize = np.size(mat) + fracplus = 100*np.size(np.where(mat>0))/(2*matsize) + fracminus = 100*np.size(np.where(mat<0))/(2*matsize) + fraczero = 100*np.size(np.where(mat==0))/(2*matsize) + table = pd.DataFrame([fracplus, fracminus, fraczero], + index=[r'$f_{\rho=+1}$', + r'$f_{\rho=-1}$', + r'$f_{\rho=0}$'], + columns = ["% of total entries"]) + return table + +@table +def theory_corrmat_value_fractions(thx_corrmat): + mat = thx_corrmat[0].values + matsize = np.size(mat) + fracplus = 100*np.size(np.where(mat>0))/(2*matsize) + fracminus = 100*np.size(np.where(mat<0))/(2*matsize) + fraczero = 100*np.size(np.where(mat==0))/(2*matsize) + table = pd.DataFrame([fracplus, fracminus, fraczero], + index=[r'$\tilde{f}_{\rho=+1}$', + r'$\tilde{f}_{\rho=-1}$', + r'$\tilde{f}_{\rho=0}$'], + columns = ["% of total entries"]) + return table + +@table +def shift_theory_element_comparison(shx_corrmat, thx_corrmat): + mat = thx_corrmat[0].values/shx_corrmat[0].values + matsize = np.size(mat) + fracplus = 100*np.size(np.where(mat>0))/(2*matsize) + fracminus = 100*np.size(np.where(mat<0))/(2*matsize) + table = pd.DataFrame([fracplus, fracminus], + index=['same sign', + 'different signs'], + columns = ["% of total entries"]) + return table + @table def theory_corrmat_custom_dataspecs(theory_covmat_custom_dataspecs): From 6837b07ee0204908673c2539faf0edab9e93ae70 Mon Sep 17 00:00:00 2001 From: Cameron Voisey <32741139+voisey@users.noreply.github.com> Date: Mon, 29 Oct 2018 10:22:14 +0000 Subject: [PATCH 030/429] Update theoryids in testconfig --- nnpdfcpp/config/testconfig.yml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nnpdfcpp/config/testconfig.yml b/nnpdfcpp/config/testconfig.yml index 7e5141a520..6960bcbb47 100644 --- a/nnpdfcpp/config/testconfig.yml +++ b/nnpdfcpp/config/testconfig.yml @@ -33,13 +33,13 @@ datacuts: ############################################################ theory: - theoryid: 162 # database id + theoryid: 163 # database id theorycovmatconfig: theoryids: - - 162 - - 168 - - 167 + - 163 + - 180 + - 173 pdf: NNPDF31_nnlo_as_0118 ############################################################ From 9117b297d0517cf516bbba07ebedb86560a281c2 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 29 Oct 2018 12:07:00 +0000 Subject: [PATCH 031/429] Use t0 separately for sampling and fitting --- .../src/validphys/scripts/testconfig.yml | 127 ++++++++++++++++++ .../src/validphys/scripts/vp_setupfit.py | 4 +- 2 files changed, 129 insertions(+), 2 deletions(-) create mode 100644 validphys2/src/validphys/scripts/testconfig.yml diff --git a/validphys2/src/validphys/scripts/testconfig.yml b/validphys2/src/validphys/scripts/testconfig.yml new file mode 100644 index 0000000000..1ce79963ae --- /dev/null +++ b/validphys2/src/validphys/scripts/testconfig.yml @@ -0,0 +1,127 @@ +# +# Configuration file for NNPDF++ +# + +############################################################ +description: NNPDF3.1 NLO fitted charm global dataset + +############################################################ +# frac: training fraction +# ewk: apply ewk k-factors +# sys: systematics treatment (see systypes) +experiments: +# Fixed target DIS + - experiment: NMC + datasets: + - { dataset: NMCPD, frac: 0.5 } + - { dataset: NMC, frac: 0.5, weight: 10000} + +############################################################ +datacuts: + t0pdfset : NNPDF31_nnlo_as_0118 # PDF set to generate t0 covmat + q2min : 3.49 # Q2 minimum + w2min : 12.5 # W2 minimum + combocuts : NNPDF31 # NNPDF3.0 final kin. cuts + jetptcut_tev : 0 # jet pt cut for tevatron + jetptcut_lhc : 0 # jet pt cut for lhc + wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions + jetycut_tev : 1e30 # jet rap. cut for tevatron + jetycut_lhc : 1e30 # jet rap. cut for lhc + dymasscut_min: 0 # dy inv.mass. min cut + dymasscut_max: 1e30 # dy inv.mass. max cut + jetcfactcut : 1e30 # jet cfact. cut + +############################################################ +theory: + theoryid: 163 # database id + +theorycovmatconfig: + theoryids: + - 163 + - 180 + - 173 + fivetheories: None + fit: NNPDF31_nnlo_as_0118_1000 + pdf: + from_: fit + use_cuts: fromfit + sampling: + use_t0: false + fitting: + use_t0: true + +############################################################ +fitting: + seed : 65532133529 # set the seed for the random generator + genrep : true # true = generate MC replicas, false = use real data + rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc + fitmethod: NGA # Minimization algorithm + ngen : 30000 # Maximum number of generations + nmutants : 80 # Number of mutants for replica + paramtype: NN + nnodes : [2,5,3,1] + + # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) + # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) + # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) + # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) + fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. + basis: + # remeber to change the name of PDF accordingly with fitbasis + # pos: on for NN squared + # mutsize: mutation size + # mutprob: mutation probability + # smallx, largex: preprocessing ranges + - { fl: sng, pos: false, mutsize: [15], mutprob: [0.05], smallx: [1.05,1.19], largex: [1.47,2.70] } + - { fl: g, pos: false, mutsize: [15], mutprob: [0.05], smallx: [0.94,1.25], largex: [0.11,5.87] } + - { fl: v, pos: false, mutsize: [15], mutprob: [0.05], smallx: [0.54,0.75], largex: [1.15,2.76] } + - { fl: v3, pos: false, mutsize: [15], mutprob: [0.05], smallx: [0.21,0.57], largex: [1.35,3.08] } + - { fl: v8, pos: false, mutsize: [15], mutprob: [0.05], smallx: [0.52,0.76], largex: [0.77,3.56] } + - { fl: t3, pos: false, mutsize: [15], mutprob: [0.05], smallx: [-0.37,1.52], largex: [1.74,3.39] } + - { fl: t8, pos: false, mutsize: [15], mutprob: [0.05], smallx: [0.56,1.29], largex: [1.45,3.03] } + - { fl: cp, pos: false, mutsize: [15], mutprob: [0.05], smallx: [0.12,1.19], largex: [1.83,6.70] } + +############################################################ +stopping: + stopmethod: LOOKBACK # Stopping method + lbdelta : 0 # Delta for look-back stopping + mingen : 0 # Minimum number of generations + window : 500 # Window for moving average + minchi2 : 3.5 # Minimum chi2 + minchi2exp: 6.0 # Minimum chi2 for experiments + nsmear : 200 # Smear for stopping + deltasm : 200 # Delta smear for stopping + rv : 2 # Ratio for validation stopping + rt : 0.5 # Ratio for training stopping + epsilon : 1e-6 # Gradient epsilon + +############################################################ +positivity: + posdatasets: + - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier + - { dataset: POSF2DW, poslambda: 1e6 } + - { dataset: POSF2S, poslambda: 1e6 } + - { dataset: POSFLL, poslambda: 1e6 } + - { dataset: POSDYU, poslambda: 1e10 } + - { dataset: POSDYD, poslambda: 1e10 } + - { dataset: POSDYS, poslambda: 1e10 } + +############################################################ +closuretest: + filterseed : 0 # Random seed to be used in filtering data partitions + fakedata : false # true = to use FAKEPDF to generate pseudo-data + errorsize : 1.0 # uncertainties rescaling + fakenoise : false # on = to add random fluctuations to pseudo-data + printpdf4gen: false # To print info on PDFs during minimization + +############################################################ +lhagrid: + nx : 150 + xmin: 1e-9 + xmed: 0.1 + xmax: 1.0 + nq : 50 + qmax: 1e5 + +############################################################ +debug: false diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index 3e17e635d6..e3d4cbc739 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -44,8 +44,8 @@ 'datacuts check_t0pdfset', 'theory check_positivity', 'Nocuts::datacuts::closuretest::theory::fitting filter', - 'theory::theorycovmatconfig experimentsplustheory_covmat', - 'datacuts::theory::theorycovmatconfig experimentsplustheory_covmat', + 'datacuts::theory::theorycovmatconfig::sampling experimentsplustheory_covmat', + 'datacuts::theory::theorycovmatconfig::fitting experimentsplustheory_covmat', ]) SETUPFIT_PROVIDERS = ['validphys.filters', From 6506a621d20d950f15f93254d516141230178570 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 29 Oct 2018 12:09:49 +0000 Subject: [PATCH 032/429] Update testconfig --- nnpdfcpp/config/testconfig.yml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/nnpdfcpp/config/testconfig.yml b/nnpdfcpp/config/testconfig.yml index 6960bcbb47..1ce79963ae 100644 --- a/nnpdfcpp/config/testconfig.yml +++ b/nnpdfcpp/config/testconfig.yml @@ -40,7 +40,15 @@ theorycovmatconfig: - 163 - 180 - 173 - pdf: NNPDF31_nnlo_as_0118 + fivetheories: None + fit: NNPDF31_nnlo_as_0118_1000 + pdf: + from_: fit + use_cuts: fromfit + sampling: + use_t0: false + fitting: + use_t0: true ############################################################ fitting: From de5dd38761e8d5e2e1de69f1eb7c95d355111bbd Mon Sep 17 00:00:00 2001 From: Cameron Voisey <32741139+voisey@users.noreply.github.com> Date: Mon, 29 Oct 2018 12:10:06 +0000 Subject: [PATCH 033/429] Delete testconfig.yml --- .../src/validphys/scripts/testconfig.yml | 127 ------------------ 1 file changed, 127 deletions(-) delete mode 100644 validphys2/src/validphys/scripts/testconfig.yml diff --git a/validphys2/src/validphys/scripts/testconfig.yml b/validphys2/src/validphys/scripts/testconfig.yml deleted file mode 100644 index 1ce79963ae..0000000000 --- a/validphys2/src/validphys/scripts/testconfig.yml +++ /dev/null @@ -1,127 +0,0 @@ -# -# Configuration file for NNPDF++ -# - -############################################################ -description: NNPDF3.1 NLO fitted charm global dataset - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -experiments: -# Fixed target DIS - - experiment: NMC - datasets: - - { dataset: NMCPD, frac: 0.5 } - - { dataset: NMC, frac: 0.5, weight: 10000} - -############################################################ -datacuts: - t0pdfset : NNPDF31_nnlo_as_0118 # PDF set to generate t0 covmat - q2min : 3.49 # Q2 minimum - w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut - -############################################################ -theory: - theoryid: 163 # database id - -theorycovmatconfig: - theoryids: - - 163 - - 180 - - 173 - fivetheories: None - fit: NNPDF31_nnlo_as_0118_1000 - pdf: - from_: fit - use_cuts: fromfit - sampling: - use_t0: false - fitting: - use_t0: true - -############################################################ -fitting: - seed : 65532133529 # set the seed for the random generator - genrep : true # true = generate MC replicas, false = use real data - rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc - fitmethod: NGA # Minimization algorithm - ngen : 30000 # Maximum number of generations - nmutants : 80 # Number of mutants for replica - paramtype: NN - nnodes : [2,5,3,1] - - # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) - # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) - # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) - # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) - fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. - basis: - # remeber to change the name of PDF accordingly with fitbasis - # pos: on for NN squared - # mutsize: mutation size - # mutprob: mutation probability - # smallx, largex: preprocessing ranges - - { fl: sng, pos: false, mutsize: [15], mutprob: [0.05], smallx: [1.05,1.19], largex: [1.47,2.70] } - - { fl: g, pos: false, mutsize: [15], mutprob: [0.05], smallx: [0.94,1.25], largex: [0.11,5.87] } - - { fl: v, pos: false, mutsize: [15], mutprob: [0.05], smallx: [0.54,0.75], largex: [1.15,2.76] } - - { fl: v3, pos: false, mutsize: [15], mutprob: [0.05], smallx: [0.21,0.57], largex: [1.35,3.08] } - - { fl: v8, pos: false, mutsize: [15], mutprob: [0.05], smallx: [0.52,0.76], largex: [0.77,3.56] } - - { fl: t3, pos: false, mutsize: [15], mutprob: [0.05], smallx: [-0.37,1.52], largex: [1.74,3.39] } - - { fl: t8, pos: false, mutsize: [15], mutprob: [0.05], smallx: [0.56,1.29], largex: [1.45,3.03] } - - { fl: cp, pos: false, mutsize: [15], mutprob: [0.05], smallx: [0.12,1.19], largex: [1.83,6.70] } - -############################################################ -stopping: - stopmethod: LOOKBACK # Stopping method - lbdelta : 0 # Delta for look-back stopping - mingen : 0 # Minimum number of generations - window : 500 # Window for moving average - minchi2 : 3.5 # Minimum chi2 - minchi2exp: 6.0 # Minimum chi2 for experiments - nsmear : 200 # Smear for stopping - deltasm : 200 # Delta smear for stopping - rv : 2 # Ratio for validation stopping - rt : 0.5 # Ratio for training stopping - epsilon : 1e-6 # Gradient epsilon - -############################################################ -positivity: - posdatasets: - - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSF2DW, poslambda: 1e6 } - - { dataset: POSF2S, poslambda: 1e6 } - - { dataset: POSFLL, poslambda: 1e6 } - - { dataset: POSDYU, poslambda: 1e10 } - - { dataset: POSDYD, poslambda: 1e10 } - - { dataset: POSDYS, poslambda: 1e10 } - -############################################################ -closuretest: - filterseed : 0 # Random seed to be used in filtering data partitions - fakedata : false # true = to use FAKEPDF to generate pseudo-data - errorsize : 1.0 # uncertainties rescaling - fakenoise : false # on = to add random fluctuations to pseudo-data - printpdf4gen: false # To print info on PDFs during minimization - -############################################################ -lhagrid: - nx : 150 - xmin: 1e-9 - xmed: 0.1 - xmax: 1.0 - nq : 50 - qmax: 1e5 - -############################################################ -debug: false From e8ab578e21cc31ba3d1d54855ea6da0e05245eb6 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 29 Oct 2018 12:19:45 +0000 Subject: [PATCH 034/429] Add sampling and fitting covmat production rules --- validphys2/src/validphys/config.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index feab2ba24d..705e111c69 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -28,6 +28,8 @@ from validphys.paramfits.config import ParamfitsConfig +from validphys.theorycovariance import experimentsplustheory_covmat + log = logging.getLogger(__name__) @@ -656,6 +658,15 @@ def parse_lumi_channel(self, ch:str): def produce_all_lumi_channels(self): return {'lumi_channels': self.parse_lumi_channels(list(LUMI_CHANNELS))} + @configparser.explicit_node + def produce_sampling_covmat(self): + sampling_covmat = experimentsplustheory_covmat + return sampling_covmat + + @configparser.explicit_node + def produce_fitting_covmat(self): + fitting_covmat = experimentsplustheory_covmat + return fitting_covmat def parse_speclabel(self, label:(str, type(None))): """A label for a dataspec. To be used in some plots""" From cc44345a25330f7c968802c44d8a1d6467489ece Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 29 Oct 2018 12:22:34 +0000 Subject: [PATCH 035/429] Use production rule actions in vp_setfit --- validphys2/src/validphys/scripts/vp_setupfit.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index e3d4cbc739..de26233944 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -44,8 +44,8 @@ 'datacuts check_t0pdfset', 'theory check_positivity', 'Nocuts::datacuts::closuretest::theory::fitting filter', - 'datacuts::theory::theorycovmatconfig::sampling experimentsplustheory_covmat', - 'datacuts::theory::theorycovmatconfig::fitting experimentsplustheory_covmat', + 'datacuts::theory::theorycovmatconfig::sampling sampling_covmat', + 'datacuts::theory::theorycovmatconfig::fitting fitting_covmat', ]) SETUPFIT_PROVIDERS = ['validphys.filters', From 5c3a0c0a909ded79a8b5a261e46782b34eb21d8d Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 29 Oct 2018 12:29:03 +0000 Subject: [PATCH 036/429] Use internal cuts for sampling and fitting covmat generation --- nnpdfcpp/config/testconfig.yml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/nnpdfcpp/config/testconfig.yml b/nnpdfcpp/config/testconfig.yml index 1ce79963ae..8a7bae6713 100644 --- a/nnpdfcpp/config/testconfig.yml +++ b/nnpdfcpp/config/testconfig.yml @@ -41,10 +41,8 @@ theorycovmatconfig: - 180 - 173 fivetheories: None - fit: NNPDF31_nnlo_as_0118_1000 - pdf: - from_: fit - use_cuts: fromfit + pdf: NNPDF31_nnlo_as_0118 + use_cuts: internal sampling: use_t0: false fitting: From f7f75fe8225f2e8891eed051abb36218f6b0c0dc Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 29 Oct 2018 15:11:25 +0000 Subject: [PATCH 037/429] Separate t0 namespace for fitting and sampling covmats --- nnpdfcpp/config/testconfig.yml | 16 ++++++++++++---- validphys2/src/validphys/scripts/vp_setupfit.py | 7 ++----- 2 files changed, 14 insertions(+), 9 deletions(-) diff --git a/nnpdfcpp/config/testconfig.yml b/nnpdfcpp/config/testconfig.yml index 8a7bae6713..06285c0915 100644 --- a/nnpdfcpp/config/testconfig.yml +++ b/nnpdfcpp/config/testconfig.yml @@ -15,6 +15,12 @@ experiments: datasets: - { dataset: NMCPD, frac: 0.5 } - { dataset: NMC, frac: 0.5, weight: 10000} + # ATLAS top + - experiment: CMS + datasets: +# CMS jets + - { dataset: CMSJETS11, frac: 0.5, sys: 10 } + - { dataset: CMS1JET276TEV, frac: 0.5, sys: 10 } ############################################################ datacuts: @@ -43,10 +49,12 @@ theorycovmatconfig: fivetheories: None pdf: NNPDF31_nnlo_as_0118 use_cuts: internal - sampling: - use_t0: false - fitting: - use_t0: true + +sampling_t0: + use_t0: false + +fitting_t0: + use_t0: true ############################################################ fitting: diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index de26233944..67dbb6c256 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -41,11 +41,8 @@ SETUPFIT_FIXED_CONFIG = dict( Nocuts={'use_cuts': 'nocuts'}, actions_=[ - 'datacuts check_t0pdfset', - 'theory check_positivity', - 'Nocuts::datacuts::closuretest::theory::fitting filter', - 'datacuts::theory::theorycovmatconfig::sampling sampling_covmat', - 'datacuts::theory::theorycovmatconfig::fitting fitting_covmat', + 'datacuts::theory::theorycovmatconfig::sampling_t0 sampling_covmat', + 'datacuts::theory::theorycovmatconfig::fitting_t0 fitting_covmat', ]) SETUPFIT_PROVIDERS = ['validphys.filters', From 3c853f52bfa7a768cf19ed738de15d5e2f087198 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 29 Oct 2018 15:18:43 +0000 Subject: [PATCH 038/429] Fix actions in vp_setupfit --- validphys2/src/validphys/scripts/vp_setupfit.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index 67dbb6c256..320ed951c5 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -41,6 +41,9 @@ SETUPFIT_FIXED_CONFIG = dict( Nocuts={'use_cuts': 'nocuts'}, actions_=[ + 'datacuts check_t0pdfset', + 'theory check_positivity', + 'Nocuts::datacuts::closuretest::theory::fitting filter', 'datacuts::theory::theorycovmatconfig::sampling_t0 sampling_covmat', 'datacuts::theory::theorycovmatconfig::fitting_t0 fitting_covmat', ]) From dddd0e76be13720b03196439ac5b9386c1f968c5 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 29 Oct 2018 15:30:48 +0000 Subject: [PATCH 039/429] Add Zahari's fix to experiments_covmat --- validphys2/src/validphys/results.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 56471a4206..54282b541c 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -231,9 +231,9 @@ def experiments_covmat(experiments, experiments_index, t0set): loaded_exp = experiment.load() if t0set: #Copy data to avoid chaos - data = type(loaded_exp)(loaded_exp) + loaded_exp = type(loaded_exp)(loaded_exp) log.debug("Setting T0 predictions for %s" % loaded_exp) - data.SetT0(t0set.load_t0()) + loaded_exp.SetT0(t0set.load_t0()) mat = loaded_exp.get_covmat() df.loc[[name],[name]] = mat return df From b963cfa52ecc2a2736bcba68dded6d2715ca861a Mon Sep 17 00:00:00 2001 From: voisey Date: Mon, 29 Oct 2018 18:08:40 +0000 Subject: [PATCH 040/429] Add theory common data files --- .../data/commondata/DATA_TH_ATLAS1JET11.dat | 141 ++++++++++++++++++ .../DATA_TH_ATLASR04JETS2P76TEV.dat | 60 ++++++++ .../commondata/DATA_TH_ATLASR04JETS36PB.dat | 91 +++++++++++ .../data/commondata/DATA_TH_ATLASZPT7TEV.dat | 79 ++++++++++ .../commondata/DATA_TH_ATLASZPT8TEVMDIST.dat | 65 ++++++++ .../commondata/DATA_TH_ATLASZPT8TEVYDIST.dat | 121 +++++++++++++++ nnpdfcpp/data/commondata/DATA_TH_CDFR2KT.dat | 77 ++++++++++ .../data/commondata/DATA_TH_CMS1JET276TEV.dat | 82 ++++++++++ .../data/commondata/DATA_TH_CMSJETS11.dat | 134 +++++++++++++++++ .../data/commondata/DATA_TH_CMSZDIFF12.dat | 51 +++++++ 10 files changed, 901 insertions(+) create mode 100644 nnpdfcpp/data/commondata/DATA_TH_ATLAS1JET11.dat create mode 100644 nnpdfcpp/data/commondata/DATA_TH_ATLASR04JETS2P76TEV.dat create mode 100644 nnpdfcpp/data/commondata/DATA_TH_ATLASR04JETS36PB.dat create mode 100644 nnpdfcpp/data/commondata/DATA_TH_ATLASZPT7TEV.dat create mode 100644 nnpdfcpp/data/commondata/DATA_TH_ATLASZPT8TEVMDIST.dat create mode 100644 nnpdfcpp/data/commondata/DATA_TH_ATLASZPT8TEVYDIST.dat create mode 100644 nnpdfcpp/data/commondata/DATA_TH_CDFR2KT.dat create mode 100644 nnpdfcpp/data/commondata/DATA_TH_CMS1JET276TEV.dat create mode 100644 nnpdfcpp/data/commondata/DATA_TH_CMSJETS11.dat create mode 100644 nnpdfcpp/data/commondata/DATA_TH_CMSZDIFF12.dat diff --git a/nnpdfcpp/data/commondata/DATA_TH_ATLAS1JET11.dat b/nnpdfcpp/data/commondata/DATA_TH_ATLAS1JET11.dat new file mode 100644 index 0000000000..b27f60be1b --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_TH_ATLAS1JET11.dat @@ -0,0 +1,141 @@ +ATLAS1JET11 1 140 +1 1.800000000000000e+00 +2 1.800000000000000e+00 +3 1.800000000000000e+00 +4 1.800000000000000e+00 +5 1.800000000000000e+00 +6 1.800000000000000e+00 +7 1.800000000000000e+00 +8 1.800000000000000e+00 +9 1.800000000000000e+00 +10 1.800000000000000e+00 +11 1.800000000000000e+00 +12 1.800000000000000e+00 +13 1.800000000000000e+00 +14 1.800000000000000e+00 +15 1.800000000000000e+00 +16 1.800000000000000e+00 +17 1.800000000000000e+00 +18 1.800000000000000e+00 +19 1.800000000000000e+00 +20 1.800000000000000e+00 +21 1.800000000000000e+00 +22 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b/nnpdfcpp/data/commondata/DATA_TH_CMSZDIFF12.dat new file mode 100644 index 0000000000..5a13ee2932 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_TH_CMSZDIFF12.dat @@ -0,0 +1,51 @@ +CMSZDIFF12 1 50 +1 3.037608234630858e-10 +2 1.589369552712661e-08 +3 3.398915877586493e-08 +4 1.360445222672183e-06 +5 2.531287718442868e-06 +6 4.339740927498337e-06 +7 2.242888162836825e-05 +8 9.931620790770033e-05 +9 -5.924509548246928e-05 +10 -1.565586282843152e+00 +11 -2.830857079730149e-09 +12 -3.460363786250350e-08 +13 -4.431687582560261e-08 +14 9.346934711870794e-07 +15 1.257382689048241e-06 +16 3.387301894896681e-06 +17 1.248747092477871e-05 +18 6.917269142442280e-05 +19 1.250657757177405e-04 +20 -8.032831689109220e-01 +21 5.476371037423614e-11 +22 -3.112208422101036e-08 +23 1.436326592840190e-08 +24 7.311115310131807e-07 +25 2.343150468562027e-06 +26 7.821393741124823e-06 +27 3.719194773114665e-05 +28 6.510504840250265e-05 +29 -1.309996505640514e-04 +30 -1.688303041282414e+00 +31 6.740223740490477e-09 +32 -4.652170777256785e-08 +33 -2.103535683026323e-08 +34 9.601229244360704e-07 +35 6.835628017431077e-07 +36 -6.027661294188000e-07 +37 3.515692323160527e-06 +38 1.608550792107230e-05 +39 5.911396265953245e-05 +40 -4.110574924360554e-01 +41 2.143068276151242e-08 +42 -2.152593850553017e-08 +43 -1.257787987192921e-07 +44 1.181299841544997e-06 +45 3.520504489693601e-07 +46 5.420687748549322e-06 +47 3.477941266606706e-05 +48 6.185321192814146e-05 +49 2.160875587047164e-05 +50 -1.142961141498135e-01 From ba981e5433d38e55f8f9c51d78cbac27e1818e9b Mon Sep 17 00:00:00 2001 From: voisey Date: Mon, 29 Oct 2018 18:12:40 +0000 Subject: [PATCH 041/429] Add theory systype files --- .../data/commondata/systypes/SYSTYPE_TH_ATLAS1JET11_DEFAULT.dat | 2 ++ .../systypes/SYSTYPE_TH_ATLASR04JETS2P76TEV_DEFAULT.dat | 2 ++ .../commondata/systypes/SYSTYPE_TH_ATLASR04JETS36PB_DEFAULT.dat | 2 ++ .../commondata/systypes/SYSTYPE_TH_ATLASZPT7TEV_DEFAULT.dat | 2 ++ .../systypes/SYSTYPE_TH_ATLASZPT8TEVMDIST_DEFAULT.dat | 2 ++ .../systypes/SYSTYPE_TH_ATLASZPT8TEVYDIST_DEFAULT.dat | 2 ++ .../data/commondata/systypes/SYSTYPE_TH_CDFR2KT_DEFAULT.dat | 2 ++ .../commondata/systypes/SYSTYPE_TH_CMS1JET276TEV_DEFAULT.dat | 2 ++ .../data/commondata/systypes/SYSTYPE_TH_CMSJETS11_DEFAULT.dat | 2 ++ .../data/commondata/systypes/SYSTYPE_TH_CMSZDIFF12_DEFAULT.dat | 2 ++ 10 files changed, 20 insertions(+) create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLAS1JET11_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS2P76TEV_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS36PB_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT7TEV_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVMDIST_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVYDIST_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CDFR2KT_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMS1JET276TEV_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSJETS11_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSZDIFF12_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLAS1JET11_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLAS1JET11_DEFAULT.dat new file mode 100644 index 0000000000..7b9f3a126c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLAS1JET11_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS2P76TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS2P76TEV_DEFAULT.dat new file mode 100644 index 0000000000..7b9f3a126c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS2P76TEV_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS36PB_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS36PB_DEFAULT.dat new file mode 100644 index 0000000000..7b9f3a126c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS36PB_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT7TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT7TEV_DEFAULT.dat new file mode 100644 index 0000000000..7b9f3a126c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT7TEV_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVMDIST_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVMDIST_DEFAULT.dat new file mode 100644 index 0000000000..7b9f3a126c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVMDIST_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVYDIST_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVYDIST_DEFAULT.dat new file mode 100644 index 0000000000..7b9f3a126c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVYDIST_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CDFR2KT_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CDFR2KT_DEFAULT.dat new file mode 100644 index 0000000000..7b9f3a126c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CDFR2KT_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMS1JET276TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMS1JET276TEV_DEFAULT.dat new file mode 100644 index 0000000000..7b9f3a126c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMS1JET276TEV_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSJETS11_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSJETS11_DEFAULT.dat new file mode 100644 index 0000000000..7b9f3a126c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSJETS11_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSZDIFF12_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSZDIFF12_DEFAULT.dat new file mode 100644 index 0000000000..7b9f3a126c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSZDIFF12_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 ADD THEORYCORR From ee4ff749698d620238c2b9731e4cbb4638f28ebd Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Tue, 30 Oct 2018 12:10:49 +0000 Subject: [PATCH 042/429] Start work on reading in additional covmat --- validphys2/src/validphys/theorycovariance.py | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index e6ccb561bb..0f2f923dbd 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -32,7 +32,7 @@ ('theoryids',)) @make_argcheck -def _check_correct_theory_combination(theoryids, fivetheories): +def _check_correct_theory_combination(theoryids, fivetheories=None): """Checks that a valid theory combination corresponding to an existing prescription has been inputted""" l = len(theoryids) @@ -885,3 +885,10 @@ def plot_matched_datasets_shift_matrix_correlations( index=matched_datasets_shift_matrix.index) return plot_corrmat_heatmap( corrmat, "Shift outer product normalized (correlation) matrix") + +@table +def additional_covmat(experimentsplustheory_covmat): + """Fudge factor covariance matrix""" + df = experimentsplustheory_covmat + list(df) + return 0 From 19dcc5076e06d69773d15c9298d157317d77c78e Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Tue, 30 Oct 2018 12:35:54 +0000 Subject: [PATCH 043/429] Parse fivetheories as argument to theory_covmat --- validphys2/src/validphys/theorycovariance.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 0f2f923dbd..ffad4bbc8e 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -32,7 +32,7 @@ ('theoryids',)) @make_argcheck -def _check_correct_theory_combination(theoryids, fivetheories=None): +def _check_correct_theory_combination(theoryids, fivetheories:(str, type(None)) = None): """Checks that a valid theory combination corresponding to an existing prescription has been inputted""" l = len(theoryids) @@ -88,7 +88,7 @@ def make_scale_var_covmat(predictions): @table @_check_correct_theory_combination -def theory_covmat(theoryids_experiments_central_values, experiments_index, theoryids): +def theory_covmat(theoryids_experiments_central_values, experiments_index, theoryids, fivetheories:(str, type(None)) = None): """Calculates the theory covariance matrix for scale variations. The matrix is a dataframe indexed by experiments_index.""" s = make_scale_var_covmat(theoryids_experiments_central_values) From fefea17c0c60240bb65e2333cf2701ebb4ae81d5 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Tue, 30 Oct 2018 18:15:13 +0000 Subject: [PATCH 044/429] Remove additional covmat action from theorycovariance module and create additional errors production rule in config module --- validphys2/src/validphys/config.py | 21 ++++++++++++++++++++ validphys2/src/validphys/theorycovariance.py | 7 ------- 2 files changed, 21 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 705e111c69..15527ac9db 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -11,6 +11,10 @@ import numbers import copy +from IPython import embed +from os import listdir +from re import match + from collections import ChainMap from collections.abc import Mapping, Sequence @@ -668,6 +672,23 @@ def produce_fitting_covmat(self): fitting_covmat = experimentsplustheory_covmat return fitting_covmat + def produce_additionalerrors(self, dataset): + mask = dataset.cuts.load() + path = '../nnpdfcpp/data/commondata/' + for f in listdir(path): + if match("DATA_TH_" + dataset.name + ".dat", f): + infile = open(path + f, "r") + systematics = [] + for i, line in enumerate(infile): + info = line.split() + if i == 0: + nsys = info[1] + else: + systematics.append(info[1:]) + infile.close() + embed() + return 0 + def parse_speclabel(self, label:(str, type(None))): """A label for a dataspec. To be used in some plots""" return label diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index ffad4bbc8e..4b75d8415a 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -885,10 +885,3 @@ def plot_matched_datasets_shift_matrix_correlations( index=matched_datasets_shift_matrix.index) return plot_corrmat_heatmap( corrmat, "Shift outer product normalized (correlation) matrix") - -@table -def additional_covmat(experimentsplustheory_covmat): - """Fudge factor covariance matrix""" - df = experimentsplustheory_covmat - list(df) - return 0 From ce1a572a291ba0c031b6735b87f2ffa80e4034e1 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 5 Nov 2018 13:55:04 +0000 Subject: [PATCH 045/429] adding function to produce eigenvalues and eigenvectors of normalised theory covariance matrix --- validphys2/src/validphys/theorycovariance.py | 25 +++++++++++++++++++- 1 file changed, 24 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 44920e5a97..f9ba054832 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -975,6 +975,11 @@ def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, shx_corrmat = collect('matched_datasets_shift_matrix_correlations', ['combined_shift_and_theory_dataspecs', 'shiftconfig']) +thx_covmat = collect('theory_covmat_custom_dataspecs', + ['combined_shift_and_theory_dataspecs', 'theoryconfig']) + +combined_dataspecs_results = collect('all_matched_results', + ['combined_shift_and_theory_dataspecs', 'theoryconfig']) @table def shift_to_theory_ratio(thx_corrmat, shx_corrmat): ratio = thx_corrmat[0]/shx_corrmat[0] @@ -1054,4 +1059,22 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the f"Theory correlation matrix for {l} points") return fig - +@table +def theory_covmat_eigenvectors(thx_covmat, combined_dataspecs_results): + theory_central_list = [] + for dataset in combined_dataspecs_results: + theory_central_list.append([x[0][1].central_value for x in dataset]) + theory_centrals = np.concatenate(theory_central_list[0]) + matrix = thx_covmat[0].values + norm = np.sqrt(np.outer(theory_centrals, theory_centrals)) + matrix = matrix/norm + w, v = la.eigh(matrix) + w_nonzero = w[w>0.1] + nonzero_locs = np.nonzero(w>0.1)[0] + # ^ taking 0th element to extract list from tuple + v_nonzero = [] + for i in nonzero_locs: + v_nonzero.append(v[i]) + table = pd.DataFrame([w_nonzero, v_nonzero], + index = ['eigenvalue', 'eigenvector']) + return table From 64756e3d0aae2af1b5c1867ca485f8753ebe4047 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 6 Nov 2018 11:37:39 +0000 Subject: [PATCH 046/429] working on action to find fmiss --- validphys2/src/validphys/theorycovariance.py | 36 +++++++++++++++++++- 1 file changed, 35 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index f9ba054832..3daea8883e 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -866,6 +866,28 @@ def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift): return pd.DataFrame(mat, columns=index, index=index) +def shift_vector(matched_dataspecs_dataset_prediction_shift): + all_shifts = np.concatenate( + [val.shifts for val in matched_dataspecs_dataset_prediction_shift]) + #build index + expnames = np.concatenate([ + np.full(len(val.shifts), val.experiment_name, dtype=object) + for val in matched_dataspecs_dataset_prediction_shift + ]) + dsnames = np.concatenate([ + np.full(len(val.shifts), val.dataset_name, dtype=object) + for val in matched_dataspecs_dataset_prediction_shift + ]) + point_indexes = np.concatenate([ + np.arange(len(val.shifts)) + for val in matched_dataspecs_dataset_prediction_shift + ]) + + index = pd.MultiIndex.from_arrays( + [expnames, dsnames, point_indexes], + names=["Experiment name", "Dataset name", "Point"]) + return pd.DataFrame(all_shifts, index=index) + @figure def plot_matched_datasets_shift_matrix(matched_datasets_shift_matrix): """Heatmap plot of matched_datasets_shift_matrix""" @@ -980,6 +1002,9 @@ def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, combined_dataspecs_results = collect('all_matched_results', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) + +shx_vector = collect('shift_vector', ['combined_shift_and_theory_dataspecs', 'shiftconfig']) + @table def shift_to_theory_ratio(thx_corrmat, shx_corrmat): ratio = thx_corrmat[0]/shx_corrmat[0] @@ -1060,11 +1085,13 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the return fig @table -def theory_covmat_eigenvectors(thx_covmat, combined_dataspecs_results): +def theory_covmat_eigenvectors(thx_covmat, combined_dataspecs_results, + shx_vector): theory_central_list = [] for dataset in combined_dataspecs_results: theory_central_list.append([x[0][1].central_value for x in dataset]) theory_centrals = np.concatenate(theory_central_list[0]) + f = shx_vector[0].values matrix = thx_covmat[0].values norm = np.sqrt(np.outer(theory_centrals, theory_centrals)) matrix = matrix/norm @@ -1075,6 +1102,13 @@ def theory_covmat_eigenvectors(thx_covmat, combined_dataspecs_results): v_nonzero = [] for i in nonzero_locs: v_nonzero.append(v[i]) + embed() + projections = [] + for evector in v_nonzero: + projections.append(f*evector) + fmiss = f - np.sum(projections, axis=0) + modrat = np.abs(fmiss/f) + embed() table = pd.DataFrame([w_nonzero, v_nonzero], index = ['eigenvalue', 'eigenvector']) return table From becdd6096565c9844c6197fd3cd90654c05e7887 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 8 Nov 2018 11:28:02 +0000 Subject: [PATCH 047/429] correcting definition of projection operator in theory_covmat_eigenvectors --- validphys2/src/validphys/theorycovariance.py | 68 ++++++++++++++------ 1 file changed, 49 insertions(+), 19 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 3daea8883e..eb11d84a56 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -888,6 +888,36 @@ def shift_vector(matched_dataspecs_dataset_prediction_shift): names=["Experiment name", "Dataset name", "Point"]) return pd.DataFrame(all_shifts, index=index) +def dataspecs_dataset_theory(matched_dataspecs_results, experiment_name, dataset_name): + central, *others = matched_dataspecs_results + res = central[1].central_value + return LabeledShifts(dataset_name=dataset_name, + experiment_name=experiment_name, shifts=res) + +matched_dataspecs_dataset_theory = collect('dataspecs_dataset_theory', ['dataspecs']) + +def theory_vector(matched_dataspecs_dataset_theory): + all_theory = np.concatenate( + [val.shifts for val in matched_dataspecs_dataset_theory]) + #build index + expnames = np.concatenate([ + np.full(len(val.shifts), val.experiment_name, dtype=object) + for val in matched_dataspecs_dataset_theory + ]) + dsnames = np.concatenate([ + np.full(len(val.shifts), val.dataset_name, dtype=object) + for val in matched_dataspecs_dataset_theory + ]) + point_indexes = np.concatenate([ + np.arange(len(val.shifts)) + for val in matched_dataspecs_dataset_theory + ]) + + index = pd.MultiIndex.from_arrays( + [expnames, dsnames, point_indexes], + names=["Experiment name", "Dataset name", "Point"]) + return pd.DataFrame(all_theory, index=index) + @figure def plot_matched_datasets_shift_matrix(matched_datasets_shift_matrix): """Heatmap plot of matched_datasets_shift_matrix""" @@ -1005,6 +1035,9 @@ def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, shx_vector = collect('shift_vector', ['combined_shift_and_theory_dataspecs', 'shiftconfig']) +thx_vector = collect('theory_vector', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) + + @table def shift_to_theory_ratio(thx_corrmat, shx_corrmat): ratio = thx_corrmat[0]/shx_corrmat[0] @@ -1084,17 +1117,10 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the f"Theory correlation matrix for {l} points") return fig -@table -def theory_covmat_eigenvectors(thx_covmat, combined_dataspecs_results, - shx_vector): - theory_central_list = [] - for dataset in combined_dataspecs_results: - theory_central_list.append([x[0][1].central_value for x in dataset]) - theory_centrals = np.concatenate(theory_central_list[0]) - f = shx_vector[0].values - matrix = thx_covmat[0].values - norm = np.sqrt(np.outer(theory_centrals, theory_centrals)) - matrix = matrix/norm +#@table +def theory_covmat_eigenvectors(thx_covmat, shx_vector, thx_vector): + matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) + # Finding eigenvalues and eigenvectors w, v = la.eigh(matrix) w_nonzero = w[w>0.1] nonzero_locs = np.nonzero(w>0.1)[0] @@ -1102,13 +1128,17 @@ def theory_covmat_eigenvectors(thx_covmat, combined_dataspecs_results, v_nonzero = [] for i in nonzero_locs: v_nonzero.append(v[i]) - embed() - projections = [] - for evector in v_nonzero: - projections.append(f*evector) - fmiss = f - np.sum(projections, axis=0) - modrat = np.abs(fmiss/f) - embed() + fnorm = (shx_vector[0]/thx_vector[0]).values.T[0] + projectors = np.sum(fnorm*v_nonzero, axis=1) + projected_evectors = np.zeros((len(projectors), (len(fnorm)))) + for i in range(len(projectors)): + projected_evectors[i] = projectors[i]*v_nonzero[i] + fmiss_norm = fnorm - np.sum(projected_evectors, axis=0) + fmod = np.sqrt(np.sum(fnorm**2)) + fmiss_mod = np.sqrt(np.sum(fmiss_norm**2)) + modrat = fmiss_mod/fmod +# embed() table = pd.DataFrame([w_nonzero, v_nonzero], index = ['eigenvalue', 'eigenvector']) - return table +# modrat_table = pd.DataFrame(modrat) + return modrat From c1e157f0001af9086cc6c20316464e6a2157e211 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 8 Nov 2018 16:27:03 +0000 Subject: [PATCH 048/429] fix bug: extracting eigenvectors in the correct way from la.eigh function --- validphys2/src/validphys/theorycovariance.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index eb11d84a56..e930d4c1af 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1126,8 +1126,8 @@ def theory_covmat_eigenvectors(thx_covmat, shx_vector, thx_vector): nonzero_locs = np.nonzero(w>0.1)[0] # ^ taking 0th element to extract list from tuple v_nonzero = [] - for i in nonzero_locs: - v_nonzero.append(v[i]) + for loc in nonzero_locs: + v_nonzero.append(v[:,loc]) fnorm = (shx_vector[0]/thx_vector[0]).values.T[0] projectors = np.sum(fnorm*v_nonzero, axis=1) projected_evectors = np.zeros((len(projectors), (len(fnorm)))) @@ -1137,7 +1137,7 @@ def theory_covmat_eigenvectors(thx_covmat, shx_vector, thx_vector): fmod = np.sqrt(np.sum(fnorm**2)) fmiss_mod = np.sqrt(np.sum(fmiss_norm**2)) modrat = fmiss_mod/fmod -# embed() + embed() table = pd.DataFrame([w_nonzero, v_nonzero], index = ['eigenvalue', 'eigenvector']) # modrat_table = pd.DataFrame(modrat) From ebb185dff415dd7bda9601912961316f94b01613 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 12 Nov 2018 11:03:09 +0000 Subject: [PATCH 049/429] Restructuring output for theory_shift_test --- validphys2/src/validphys/theorycovariance.py | 51 ++++++++++++++------ 1 file changed, 37 insertions(+), 14 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index e930d4c1af..944f48f38c 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1117,28 +1117,51 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the f"Theory correlation matrix for {l} points") return fig -#@table -def theory_covmat_eigenvectors(thx_covmat, shx_vector, thx_vector): + +def theory_shift_test(thx_covmat, shx_vector, thx_vector): matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) # Finding eigenvalues and eigenvectors w, v = la.eigh(matrix) - w_nonzero = w[w>0.1] - nonzero_locs = np.nonzero(w>0.1)[0] + w_nonzero = w[np.abs(w)>10**(-5)] + nonzero_locs = np.nonzero(np.abs(w)>10**(-5))[0] # ^ taking 0th element to extract list from tuple v_nonzero = [] for loc in nonzero_locs: v_nonzero.append(v[:,loc]) - fnorm = (shx_vector[0]/thx_vector[0]).values.T[0] - projectors = np.sum(fnorm*v_nonzero, axis=1) - projected_evectors = np.zeros((len(projectors), (len(fnorm)))) + f = (-shx_vector[0]/thx_vector[0]).values.T[0] + projectors = np.sum(f*v_nonzero, axis=1) + projected_evectors = np.zeros((len(projectors), (len(f)))) for i in range(len(projectors)): projected_evectors[i] = projectors[i]*v_nonzero[i] - fmiss_norm = fnorm - np.sum(projected_evectors, axis=0) - fmod = np.sqrt(np.sum(fnorm**2)) - fmiss_mod = np.sqrt(np.sum(fmiss_norm**2)) + fmiss = f - np.sum(projected_evectors, axis=0) + return w_nonzero, v_nonzero, projectors, f, fmiss + +@table +def theory_covmat_eigenvectors(theory_shift_test): + w_nonzero, v_nonzero, projectors = theory_shift_test[:3] + table = pd.DataFrame([w_nonzero, projectors, v_nonzero], + index = ['eigenvalue', 'projector', 'eigenvector']) + return table + +def modrat(theory_shift_test): + f = theory_shift_test[3] + fmiss = theory_shift_test[4] + fmod = np.sqrt(np.sum(f**2)) + fmiss_mod = np.sqrt(np.sum(fmiss**2)) modrat = fmiss_mod/fmod - embed() - table = pd.DataFrame([w_nonzero, v_nonzero], - index = ['eigenvalue', 'eigenvector']) -# modrat_table = pd.DataFrame(modrat) return modrat + +@figure +def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): + matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) + fnorm = -shx_vector[0]/thx_vector[0] + sqrtdiags = np.sqrt(np.diag(matrix)) + fig, ax = plt.subplots(figsize=(20,10)) + ax.plot(sqrtdiags*100, '.-', label="Theory", color = "red") + ax.plot(fnorm.values*100, '.-', label="NNLO-NLO Shift", color = "black") + ticklocs, ticklabels = matrix_plot_labels(matrix) + plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=20) + ax.set_ylabel("% of central theory", fontsize=20) + ax.legend(fontsize=20) + return fig + From 9c075aa0f34950438a3dc08acff95b273d153d5a Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 12 Nov 2018 11:45:49 +0000 Subject: [PATCH 050/429] Adding new actions for validation - maxrat, validation_theory_chi2 and projector_eigenvalue_ratio --- validphys2/src/validphys/theorycovariance.py | 29 ++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 944f48f38c..b61fe2a5fb 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1151,6 +1151,35 @@ def modrat(theory_shift_test): modrat = fmiss_mod/fmod return modrat +def maxrat(theory_shift_test): + f = theory_shift_test[3] + fmiss = theory_shift_test[4] + maxrat = np.max(np.abs(fmiss))/np.max(np.abs(f)) + return maxrat + +def validation_theory_chi2(theory_shift_test): + projectors = theory_shift_test[2] + evals = theory_shift_test[0] + ratio = projectors/evals + th_chi2 = 1/len(evals)*np.sum(ratio**2) + return th_chi2 + +@figure +def projector_eigenvalue_ratio(theory_shift_test): + projectors = theory_shift_test[2] + evals = theory_shift_test[0] + ratio = projectors/evals + fig, (ax1, ax2, ax3) = plt.subplots(3, figsize=(5,5)) + ax1.plot(projectors, 'o') + ax2.plot(evals, 'o') + ax3.plot(ratio, 'o', color="red") + ax1.set_title(f"Subspace dimension = {len(evals)}", fontsize=10) + ax1.set_xlabel("a", fontsize=20) + ax1.set_ylabel(r"$\delta_a$") + ax2.set_ylabel(r"$s_a$") + ax3.set_ylabel(r"$\delta_a$/$s_a$") + return fig + @figure def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) From 133898cfba6a6740f5c76f8ce3fa2fd2527ed053 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 13 Nov 2018 11:51:30 +0000 Subject: [PATCH 051/429] adding action to return chosen cutoff value for nonzero eigenvalues, inputted from runcard as evalue_cutoff --- validphys2/src/validphys/theorycovariance.py | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index b61fe2a5fb..df767db052 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1118,12 +1118,13 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the return fig -def theory_shift_test(thx_covmat, shx_vector, thx_vector): +def theory_shift_test(evalue_cutoff, thx_covmat, shx_vector, thx_vector): + n = evalue_cutoff matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) # Finding eigenvalues and eigenvectors w, v = la.eigh(matrix) - w_nonzero = w[np.abs(w)>10**(-5)] - nonzero_locs = np.nonzero(np.abs(w)>10**(-5))[0] + w_nonzero = w[np.abs(w)>10**(-n)] + nonzero_locs = np.nonzero(np.abs(w)>10**(-n))[0] # ^ taking 0th element to extract list from tuple v_nonzero = [] for loc in nonzero_locs: @@ -1134,7 +1135,13 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector): for i in range(len(projectors)): projected_evectors[i] = projectors[i]*v_nonzero[i] fmiss = f - np.sum(projected_evectors, axis=0) - return w_nonzero, v_nonzero, projectors, f, fmiss + embed() + return w_nonzero, v_nonzero, projectors, f, fmiss, n + +def cutoff(theory_shift_test): + n = theory_shift_test[5] + cutoff = 10**(-n) + return cutoff @table def theory_covmat_eigenvectors(theory_shift_test): From 071fc51cae7de8a97b2ac10c5e4d07a4d5beb8b8 Mon Sep 17 00:00:00 2001 From: Rabah Abdul Khalek Date: Thu, 15 Nov 2018 13:08:44 +0100 Subject: [PATCH 052/429] Reading covmat from txt file --- libnnpdf/src/experiments.cc | 128 ++++++++++++++++++++++++++---------- 1 file changed, 93 insertions(+), 35 deletions(-) diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index 9f8c63a16b..fa8d6f3241 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -15,6 +15,7 @@ #include #include #include +#include #include "NNPDF/experiments.h" #include "NNPDF/chisquared.h" @@ -28,39 +29,6 @@ using namespace std; namespace NNPDF{ -matrix read_total_covmat(const std::string filename, int NData) { - // Reads in covariance matrix for an experiment from pandas dataframe - ifstream f1; - f1.open(filename.c_str(), ios::in); - - if(!f1.good()) { - throw FileError("experiments", "Cannot read covariance matrix file from " + filename); - } - - string line, exp_name, dataset_name; - - // Skip first four lines (headers) - for (int i = 0; i < 4; i++) { - getline(f1, line); - } - - matrix mat(NData,NData); - double row_number; - for (int i = 0; i < NData; i++) { - getline(f1, line); - istringstream lstream(line); - // Skip over first three elements of line - lstream >> exp_name >> dataset_name >> row_number; - for (int j = 0; j < NData; j++) { - lstream >> mat(i,j); - } - } - - f1.close(); - - return mat; -} - /** * Constructor */ @@ -540,12 +508,102 @@ void Experiment::GenCovMat() fSqrtCov = ComputeSqrtMat(fCovMat); } +/* +* Reads in covariance matrix for an experiment from pandas dataframe +*/ + +matrix read_total_covmat(const std::string filename) +{ + const int first_lines_to_skip = 4; //experiment, dataset, id, header + const int first_columns_to_skip = 3; //experiment, dataset, id + + ifstream file(filename.c_str()); + + if (!file.good()) + throw FileError("experiments", "Cannot read covariance matrix file from " + filename); + + string line; + + //====Initialise CovMat (get lines and columns from txt file) + int lines = 0, columns = 0; + bool ONCE = true; + // Skip the first lines + for (int i = 0; i < first_lines_to_skip; ++i) + std::getline(file, line); + while (std::getline(file, line)) + { + std::stringstream ss(line); + string entry; + + if (ONCE) + { + // Skip the first columns + for (int i = 0; i < first_columns_to_skip; ++i) + ss >> entry; + + while (ss >> entry) + columns++; + } + ONCE = false; + + lines++; + } + + //! CHECKPOINT0: Check if the lines and columns of covmat matches. + if (lines != columns) + throw EvaluationError("experiments", "Lines and Columns of covmat doesn't match.") + + matrix + covmat(lines, lines); + + //====READ CovMat into matrix object + // Skip the first lines + file.close(); + file.clear(); + file.open(filename.c_str()); + + for (int i = 0; i < first_lines_to_skip; ++i) + std::getline(file, line); + + int l = 0, c = 0; + while (std::getline(file, line)) //Read a line + { + double entry; + //! Extra check, in case the format changes + //! CHECKPOINT1: Read the last character of the line, if it's alphabetical, throw an error. + if (isalpha(line[line.size() - 1])) + throw EvaluationError("experiments", "The format of covmat has probably changed.") + + std::stringstream ss(line); + + // Skip the first columns + for (int i = 0; i < first_columns_to_skip; ++i) + { + string entry; + ss >> entry; + } + + while (ss >> entry || !ss.eof()) + { + //! CHECKPOINT2: Throw an error if reading of a line element fails + if (ss.fail()) + throw EvaluationError("experiments", "Error while reading lines of the covmat.") + + covmat(l, c) = entry; + c++; + } //columns loop + l++; + } //line loop + + return covmat; +} + /** * Read in covariance matrix for replica generation from file, and generate covariance matrix and its square root */ void Experiment::LoadRepCovMat(string filename) { - fRepCovMat = read_total_covmat(filename, fNData); + fRepCovMat = read_total_covmat(filename); fSqrtRepCov = ComputeSqrtMat(fRepCovMat); } @@ -554,7 +612,7 @@ void Experiment::LoadRepCovMat(string filename) */ void Experiment::LoadFitCovMat(string filename) { - fFitCovMat = read_total_covmat(filename, fNData); + fFitCovMat = read_total_covmat(filename); fSqrtFitCov = ComputeSqrtMat(fFitCovMat); } From 3b2e9a34cacb4cb5e5327ad526c22738e851ab99 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 16 Nov 2018 14:42:12 +0000 Subject: [PATCH 053/429] removing embeds --- validphys2/src/validphys/theorycovariance.py | 23 ++++++++++++++------ 1 file changed, 16 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index df767db052..8e61af5c86 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -918,11 +918,21 @@ def theory_vector(matched_dataspecs_dataset_theory): names=["Experiment name", "Dataset name", "Point"]) return pd.DataFrame(all_theory, index=index) +def dataspecs_dataset_alltheory(matched_dataspecs_results, experiment_name, dataset_name): + central, *others = matched_dataspecs_results + res = [other[1].central_value for other in others] + return LabeledShifts(dataset_name=dataset_name, + experiment_name=experiment_name, shifts=res) + +matched_dataspecs_dataset_alltheory = collect('dataspecs_dataset_alltheory', ['dataspecs']) + + @figure def plot_matched_datasets_shift_matrix(matched_datasets_shift_matrix): """Heatmap plot of matched_datasets_shift_matrix""" return plot_covmat_heatmap(matched_datasets_shift_matrix, - "Shift outer product matrix") + + "Shift outer product matrix") @table def matched_datasets_shift_matrix_correlations(matched_datasets_shift_matrix): @@ -1123,8 +1133,8 @@ def theory_shift_test(evalue_cutoff, thx_covmat, shx_vector, thx_vector): matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) # Finding eigenvalues and eigenvectors w, v = la.eigh(matrix) - w_nonzero = w[np.abs(w)>10**(-n)] - nonzero_locs = np.nonzero(np.abs(w)>10**(-n))[0] + w_nonzero = w[w>10**(-n)] + nonzero_locs = np.nonzero(w>10**(-n))[0] # ^ taking 0th element to extract list from tuple v_nonzero = [] for loc in nonzero_locs: @@ -1135,7 +1145,6 @@ def theory_shift_test(evalue_cutoff, thx_covmat, shx_vector, thx_vector): for i in range(len(projectors)): projected_evectors[i] = projectors[i]*v_nonzero[i] fmiss = f - np.sum(projected_evectors, axis=0) - embed() return w_nonzero, v_nonzero, projectors, f, fmiss, n def cutoff(theory_shift_test): @@ -1167,7 +1176,7 @@ def maxrat(theory_shift_test): def validation_theory_chi2(theory_shift_test): projectors = theory_shift_test[2] evals = theory_shift_test[0] - ratio = projectors/evals + ratio = projectors/np.sqrt(evals) th_chi2 = 1/len(evals)*np.sum(ratio**2) return th_chi2 @@ -1175,10 +1184,10 @@ def validation_theory_chi2(theory_shift_test): def projector_eigenvalue_ratio(theory_shift_test): projectors = theory_shift_test[2] evals = theory_shift_test[0] - ratio = projectors/evals + ratio = projectors/np.sqrt(evals) fig, (ax1, ax2, ax3) = plt.subplots(3, figsize=(5,5)) ax1.plot(projectors, 'o') - ax2.plot(evals, 'o') + ax2.plot(np.sqrt(evals), 'o') ax3.plot(ratio, 'o', color="red") ax1.set_title(f"Subspace dimension = {len(evals)}", fontsize=10) ax1.set_xlabel("a", fontsize=20) From 15342d1df17244ef6df1f76aac04e794557e38c5 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 21 Nov 2018 15:02:47 +0000 Subject: [PATCH 054/429] redefining cut-off dependent on largest eigenvalue and taking absolute value of eigenvalues/projectors in plots --- validphys2/src/validphys/theorycovariance.py | 30 +++++++++++++------- 1 file changed, 20 insertions(+), 10 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 8e61af5c86..afd56df609 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1133,8 +1133,11 @@ def theory_shift_test(evalue_cutoff, thx_covmat, shx_vector, thx_vector): matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) # Finding eigenvalues and eigenvectors w, v = la.eigh(matrix) - w_nonzero = w[w>10**(-n)] - nonzero_locs = np.nonzero(w>10**(-n))[0] +# w2, v2 = la.eig(matrix) +# embed() + w_max = w[-1] + w_nonzero = w[w>0.01*w_max] + nonzero_locs = np.nonzero(w>0.01*w_max)[0] # ^ taking 0th element to extract list from tuple v_nonzero = [] for loc in nonzero_locs: @@ -1145,11 +1148,14 @@ def theory_shift_test(evalue_cutoff, thx_covmat, shx_vector, thx_vector): for i in range(len(projectors)): projected_evectors[i] = projectors[i]*v_nonzero[i] fmiss = f - np.sum(projected_evectors, axis=0) - return w_nonzero, v_nonzero, projectors, f, fmiss, n + return w_nonzero, v_nonzero, projectors, f, fmiss, n, w_max def cutoff(theory_shift_test): - n = theory_shift_test[5] - cutoff = 10**(-n) +# n = theory_shift_test[5] +# cutoff = 10**(-n) + w_max = theory_shift_test[6] + cutoff = 0.01*w_max +# print(f"cutoff = {cutoff}") return cutoff @table @@ -1165,12 +1171,14 @@ def modrat(theory_shift_test): fmod = np.sqrt(np.sum(f**2)) fmiss_mod = np.sqrt(np.sum(fmiss**2)) modrat = fmiss_mod/fmod +# print(f"modrat = {modrat}") return modrat def maxrat(theory_shift_test): f = theory_shift_test[3] fmiss = theory_shift_test[4] maxrat = np.max(np.abs(fmiss))/np.max(np.abs(f)) +# print(f"maxrat = {maxrat}") return maxrat def validation_theory_chi2(theory_shift_test): @@ -1178,22 +1186,24 @@ def validation_theory_chi2(theory_shift_test): evals = theory_shift_test[0] ratio = projectors/np.sqrt(evals) th_chi2 = 1/len(evals)*np.sum(ratio**2) +# print(f"Theory chi2 = {th_chi2}") return th_chi2 @figure def projector_eigenvalue_ratio(theory_shift_test): projectors = theory_shift_test[2] evals = theory_shift_test[0] - ratio = projectors/np.sqrt(evals) + ratio = np.abs(projectors/np.sqrt(evals)) fig, (ax1, ax2, ax3) = plt.subplots(3, figsize=(5,5)) - ax1.plot(projectors, 'o') + ax1.plot(np.abs(projectors), 'o') ax2.plot(np.sqrt(evals), 'o') ax3.plot(ratio, 'o', color="red") ax1.set_title(f"Subspace dimension = {len(evals)}", fontsize=10) ax1.set_xlabel("a", fontsize=20) - ax1.set_ylabel(r"$\delta_a$") - ax2.set_ylabel(r"$s_a$") - ax3.set_ylabel(r"$\delta_a$/$s_a$") + ax1.set_ylabel(r"|$\delta_a$|") + ax2.set_ylabel(r"|$s_a$|") + ax3.set_ylabel(r"|$\delta_a$/$s_a$|") +# print(f"Subspace dimension = {len(evals)}") return fig @figure From cf3bbc2f8fc0652e894f302088a8322d524bb286 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 23 Nov 2018 15:12:46 +0000 Subject: [PATCH 055/429] removing input for cut-off from runcard - now automated --- validphys2/src/validphys/theorycovariance.py | 27 ++++++++++++-------- 1 file changed, 17 insertions(+), 10 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index afd56df609..158efd2ab2 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1055,8 +1055,20 @@ def shift_to_theory_ratio(thx_corrmat, shx_corrmat): @figure def shift_to_theory_ratio_plot(shift_to_theory_ratio): - fig = plot_corrmat_heatmap(shift_to_theory_ratio, - "Ratio of theory to shift correlation matrices") + matrix = shift_to_theory_ratio + bins = np.linspace(-1, 1, num=21) + digmatrix = np.digitize(matrix, bins) + symdigmatrix = np.zeros((len(digmatrix), len(digmatrix))) + for binnumber in range(len(bins)): + symdigmatrix[digmatrix==binnumber+1] = bins[binnumber] + fig, ax = plt.subplots(figsize=(15,15)) + matrixplot = ax.matshow(matrix, cmap=cm.Spectral_r) + fig.colorbar(matrixplot) + ax.set_title("Ratio of theory to shift correlation matrices") + ticklocs, ticklabels = matrix_plot_labels(matrix) + plt.xticks(ticklocs, ticklabels, rotation=30, ha="right") + plt.gca().xaxis.tick_bottom() + plt.yticks(ticklocs, ticklabels) return fig @figure @@ -1128,13 +1140,10 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the return fig -def theory_shift_test(evalue_cutoff, thx_covmat, shx_vector, thx_vector): - n = evalue_cutoff +def theory_shift_test(thx_covmat, shx_vector, thx_vector): matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) # Finding eigenvalues and eigenvectors w, v = la.eigh(matrix) -# w2, v2 = la.eig(matrix) -# embed() w_max = w[-1] w_nonzero = w[w>0.01*w_max] nonzero_locs = np.nonzero(w>0.01*w_max)[0] @@ -1148,12 +1157,10 @@ def theory_shift_test(evalue_cutoff, thx_covmat, shx_vector, thx_vector): for i in range(len(projectors)): projected_evectors[i] = projectors[i]*v_nonzero[i] fmiss = f - np.sum(projected_evectors, axis=0) - return w_nonzero, v_nonzero, projectors, f, fmiss, n, w_max + return w_nonzero, v_nonzero, projectors, f, fmiss, w_max def cutoff(theory_shift_test): -# n = theory_shift_test[5] -# cutoff = 10**(-n) - w_max = theory_shift_test[6] + w_max = theory_shift_test[5] cutoff = 0.01*w_max # print(f"cutoff = {cutoff}") return cutoff From ce4af7f1e091a24fa974b27b05e0c643b5706c8a Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 23 Nov 2018 15:19:17 +0000 Subject: [PATCH 056/429] changing theory_covmat_eigenvectors to theory_covmat_eigenvalues and removing eigenvectors from table --- validphys2/src/validphys/theorycovariance.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 158efd2ab2..24516f89a1 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1166,10 +1166,10 @@ def cutoff(theory_shift_test): return cutoff @table -def theory_covmat_eigenvectors(theory_shift_test): +def theory_covmat_eigenvalues(theory_shift_test): w_nonzero, v_nonzero, projectors = theory_shift_test[:3] - table = pd.DataFrame([w_nonzero, projectors, v_nonzero], - index = ['eigenvalue', 'projector', 'eigenvector']) + table = pd.DataFrame([w_nonzero, projectors], + index = ['eigenvalue', 'projector']) return table def modrat(theory_shift_test): From 23a857f799b95f9f5485cbadef867d4148c26391 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 26 Nov 2018 16:31:57 +0000 Subject: [PATCH 057/429] Duplicate several actions without giving them table decorator so that only total covmats are outputted by vp-setupfit --- validphys2/src/validphys/results.py | 54 ++++++++++++++++++++ validphys2/src/validphys/theorycovariance.py | 16 ++++-- 2 files changed, 67 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 54282b541c..1f854aa7d2 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -190,6 +190,38 @@ def experiment_result_table(experiments, pdf, experiments_index): + data_result = DataResult(loaded_exp) + th_result = ThPredictionsResult.from_convolution(pdf, experiment, + loaded_data=loaded_exp) + + + for index in range(len(data_result.central_value)): + replicas = (('rep_%05d'%(i+1), th_result._rawdata[index,i]) for + i in range(th_result._rawdata.shape[1])) + + result_records.append(OrderedDict([ + ('data_central', data_result.central_value[index]), + ('theory_central', th_result.central_value[index]), + *replicas + ])) + + if not result_records: + log.warning("Empty records for experiment results") + return pd.DataFrame() + df = pd.DataFrame(result_records, columns=result_records[0].keys(), + index=experiments_index) + + return df + +def experiment_result_table_no_table(experiments, pdf, experiments_index): + """Duplicate of experiments_result_table but without a table decorator.""" + + result_records = [] + for exp_index, experiment in enumerate(experiments): + loaded_exp = experiment.load() + + + data_result = DataResult(loaded_exp) th_result = ThPredictionsResult.from_convolution(pdf, experiment, loaded_data=loaded_exp) @@ -238,6 +270,22 @@ def experiments_covmat(experiments, experiments_index, t0set): df.loc[[name],[name]] = mat return df +def experiments_covmat_no_table(experiments, experiments_index, t0set): + """Duplicate of experiments_covmat but without a table decorator.""" + data = np.zeros((len(experiments_index),len(experiments_index))) + df = pd.DataFrame(data, index=experiments_index, columns=experiments_index) + for experiment in experiments: + name = experiment.name + loaded_exp = experiment.load() + if t0set: + #Copy data to avoid chaos + loaded_exp = type(loaded_exp)(loaded_exp) + log.debug("Setting T0 predictions for %s" % loaded_exp) + loaded_exp.SetT0(t0set.load_t0()) + mat = loaded_exp.get_covmat() + df.loc[[name],[name]] = mat + return df + @table def experiments_sqrtcovmat(experiments, experiments_index, t0set): """Like experiments_covmat, but dump the lower triangular part of the @@ -862,6 +910,12 @@ def experiments_central_values(experiment_result_table): central_theory_values = experiment_result_table["theory_central"] return central_theory_values +def experiments_central_values_no_table(experiment_result_table_no_table): + """Duplicate of experiments_central_values but takes version + of experiment_result_table that does not output a table.""" + central_theory_values = experiment_result_table_no_table["theory_central"] + return central_theory_values + experiments_chi2 = collect(abs_chi2_data_experiment, ('experiments',)) each_dataset_chi2 = collect(abs_chi2_data, ('experiments', 'experiment')) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 4b75d8415a..0de0e88c3b 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -19,7 +19,7 @@ from reportengine.table import table from reportengine import collect -from validphys.results import experiments_central_values, results +from validphys.results import experiments_central_values, experiments_central_values_no_table, results from validphys.results import Chi2Data, experiments_chi2_table from validphys.calcutils import calc_chi2, all_chi2_theory, central_chi2_theory from validphys.plotoptions import get_info @@ -31,6 +31,9 @@ theoryids_experiments_central_values = collect(experiments_central_values, ('theoryids',)) +theoryids_experiments_central_values_no_table = collect(experiments_central_values_no_table, + ('theoryids',)) + @make_argcheck def _check_correct_theory_combination(theoryids, fivetheories:(str, type(None)) = None): """Checks that a valid theory combination corresponding to an existing @@ -95,6 +98,13 @@ def theory_covmat(theoryids_experiments_central_values, experiments_index, theor df = pd.DataFrame(s, index=experiments_index, columns=experiments_index) return df +@_check_correct_theory_combination +def theory_covmat_no_table(theoryids_experiments_central_values_no_table, experiments_index, theoryids, fivetheories:(str, type(None)) = None): + """Duplicate of theory_covmat but without a table decorator.""" + s = make_scale_var_covmat(theoryids_experiments_central_values_no_table) + df = pd.DataFrame(s, index=experiments_index, columns=experiments_index) + return df + results_bytheoryids = collect(results,('theoryids',)) each_dataset_results_bytheory = collect('results_bytheoryids', ('experiments', 'experiment')) @@ -408,10 +418,10 @@ def theory_normcovmat_custom(theory_covmat_custom, experiments_data): return mat @table -def experimentsplustheory_covmat(experiments_covmat, theory_covmat): +def experimentsplustheory_covmat(experiments_covmat_no_table, theory_covmat_no_table): """Calculates the experiment + theory covariance matrix for scale variations.""" - df = experiments_covmat + theory_covmat + df = experiments_covmat_no_table + theory_covmat_no_table return df @table From 1ae601a8723b3dfdf8e200100efa7c466a4245e7 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 26 Nov 2018 21:27:33 +0000 Subject: [PATCH 058/429] Streamline no_table actions --- validphys2/src/validphys/results.py | 74 +++++--------------- validphys2/src/validphys/theorycovariance.py | 14 ++-- 2 files changed, 24 insertions(+), 64 deletions(-) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 1f854aa7d2..87a6216c69 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -179,8 +179,7 @@ def experiments_data(experiment_result_table): #TODO: Use collect to calculate results outside this -@table -def experiment_result_table(experiments, pdf, experiments_index): +def experiment_result_table_no_table(experiments, pdf, experiments_index): """Generate a table containing the data central value, the central prediction, and the prediction for each PDF member.""" @@ -190,38 +189,6 @@ def experiment_result_table(experiments, pdf, experiments_index): - data_result = DataResult(loaded_exp) - th_result = ThPredictionsResult.from_convolution(pdf, experiment, - loaded_data=loaded_exp) - - - for index in range(len(data_result.central_value)): - replicas = (('rep_%05d'%(i+1), th_result._rawdata[index,i]) for - i in range(th_result._rawdata.shape[1])) - - result_records.append(OrderedDict([ - ('data_central', data_result.central_value[index]), - ('theory_central', th_result.central_value[index]), - *replicas - ])) - - if not result_records: - log.warning("Empty records for experiment results") - return pd.DataFrame() - df = pd.DataFrame(result_records, columns=result_records[0].keys(), - index=experiments_index) - - return df - -def experiment_result_table_no_table(experiments, pdf, experiments_index): - """Duplicate of experiments_result_table but without a table decorator.""" - - result_records = [] - for exp_index, experiment in enumerate(experiments): - loaded_exp = experiment.load() - - - data_result = DataResult(loaded_exp) th_result = ThPredictionsResult.from_convolution(pdf, experiment, loaded_data=loaded_exp) @@ -246,7 +213,11 @@ def experiment_result_table_no_table(experiments, pdf, experiments_index): return df @table -def experiments_covmat(experiments, experiments_index, t0set): +def experiment_result_table(experiment_result_table_no_table): + """Duplicate of experiments_result_table_no_table but with a table decorator.""" + return experiment_result_table_no_table + +def experiments_covmat_no_table(experiments, experiments_index, t0set): """Export the covariance matrix for the experiments. It exports the full (symmetric) matrix, with the 3 first rows and columns being: @@ -270,21 +241,10 @@ def experiments_covmat(experiments, experiments_index, t0set): df.loc[[name],[name]] = mat return df -def experiments_covmat_no_table(experiments, experiments_index, t0set): - """Duplicate of experiments_covmat but without a table decorator.""" - data = np.zeros((len(experiments_index),len(experiments_index))) - df = pd.DataFrame(data, index=experiments_index, columns=experiments_index) - for experiment in experiments: - name = experiment.name - loaded_exp = experiment.load() - if t0set: - #Copy data to avoid chaos - loaded_exp = type(loaded_exp)(loaded_exp) - log.debug("Setting T0 predictions for %s" % loaded_exp) - loaded_exp.SetT0(t0set.load_t0()) - mat = loaded_exp.get_covmat() - df.loc[[name],[name]] = mat - return df +@table +def experiments_covmat(experiments_covmat_no_table): + """Duplicate of experiments_covmat_no_table but with a table decorator.""" + return experiments_covmat_no_table @table def experiments_sqrtcovmat(experiments, experiments_index, t0set): @@ -904,16 +864,18 @@ def theory_description(theoryid): """A table with the theory settings.""" return pd.DataFrame(pd.Series(theoryid.get_description()), columns=[theoryid]) -def experiments_central_values(experiment_result_table): +def experiments_central_values_no_table(experiment_result_table_no_table): """Returns a theoryid-dependent list of central theory predictions for a given experiment.""" - central_theory_values = experiment_result_table["theory_central"] + central_theory_values = experiment_result_table_no_table["theory_central"] return central_theory_values -def experiments_central_values_no_table(experiment_result_table_no_table): - """Duplicate of experiments_central_values but takes version - of experiment_result_table that does not output a table.""" - central_theory_values = experiment_result_table_no_table["theory_central"] +@table +def experiments_central_values(experiment_result_table): + """Duplicate of experiments_central_values_no_table but takes + experiment_result_table rather than experiments_central_values_no_table, + and has a table decorator.""" + central_theory_values = experiment_result_table["theory_central"] return central_theory_values experiments_chi2 = collect(abs_chi2_data_experiment, ('experiments',)) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 0de0e88c3b..348836ec9c 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -89,21 +89,19 @@ def make_scale_var_covmat(predictions): s = norm*sum(np.outer(d, d) for d in deltas) return s -@table @_check_correct_theory_combination -def theory_covmat(theoryids_experiments_central_values, experiments_index, theoryids, fivetheories:(str, type(None)) = None): +def theory_covmat_no_table(theoryids_experiments_central_values_no_table, experiments_index, theoryids, fivetheories:(str, type(None)) = None): """Calculates the theory covariance matrix for scale variations. The matrix is a dataframe indexed by experiments_index.""" - s = make_scale_var_covmat(theoryids_experiments_central_values) + s = make_scale_var_covmat(theoryids_experiments_central_values_no_table) df = pd.DataFrame(s, index=experiments_index, columns=experiments_index) return df +@table @_check_correct_theory_combination -def theory_covmat_no_table(theoryids_experiments_central_values_no_table, experiments_index, theoryids, fivetheories:(str, type(None)) = None): - """Duplicate of theory_covmat but without a table decorator.""" - s = make_scale_var_covmat(theoryids_experiments_central_values_no_table) - df = pd.DataFrame(s, index=experiments_index, columns=experiments_index) - return df +def theory_covmat(theory_covmat_no_table): + """Duplicate of theory_covmat_no_table but with a table decorator.""" + return theory_covmat_no_table results_bytheoryids = collect(results,('theoryids',)) each_dataset_results_bytheory = collect('results_bytheoryids', From 39cbe2aa07c5e5a912e2591bfacb6bfb7509a365 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 27 Nov 2018 14:26:37 +0000 Subject: [PATCH 059/429] altering evalue_cutoff flag so it works, and introducing potential threshold for shift covariance matrix --- validphys2/src/validphys/theorycovariance.py | 49 +++++++++++++++----- 1 file changed, 38 insertions(+), 11 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 24516f89a1..ff4448b821 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -173,17 +173,22 @@ def total_covmat_experiments(experiments_results_theory): def process_lookup(commondata_experiments): """Produces a dictionary with keys corresponding to dataset names and values corresponding to process types. Process types are - regrouped into the four categories 'Drell-Yan', 'Heavy Quarks', Jets' - and 'DIS'.""" + regrouped into the five categories 'Drell-Yan', 'Heavy Quarks', Jets', + 'DIS NC' and 'DIS CC'.""" d = {commondata.name: get_info(commondata).process_description for commondata in commondata_experiments} for key, value in d.items(): - if "Drell-Yan" in value: + if "Deep Inelastic Scattering" in value: + if ("CHORUS" in key) or ("NTV" in key) or ("HERACOMBCC" in key): + d[key] = "DIS CC" + else: + d[key] = "DIS NC" + elif "Drell-Yan" in value: d[key] = "Drell-Yan" elif "Heavy Quarks" in value: d[key] = "Heavy Quarks" elif "Jet" in value: - d[key] = "Jets" + d[key] = "Jets" else: pass return d @@ -839,13 +844,30 @@ def dataspecs_dataset_prediction_shift(matched_dataspecs_results, experiment_nam #Not sure we want to export this, as it is 231 Mb... #@table -def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift): +def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, + threshold:(float, type(None)) = None): """Priduce a matrix out of the outer product of ``dataspecs_dataset_prediction_shift``. The matrix will be a pandas DataFrame, indexed similarly to ``experiments_index``.""" all_shifts = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_prediction_shift]) mat = np.outer(all_shifts, all_shifts) + if threshold != None: + for i, ival in enumerate(all_shifts): + for j, jval in enumerate(all_shifts): + if (ival!=0) and (jval!=0): + if 1/threshold <= np.abs(ival/jval) <= threshold: + pass + else: + mat[i][j] = 0 + else: + pass +# for i, ival in enumerate(all_shifts): +# for j, jval in enumerate(all_shifts): +# if (np.abs(ival) < 10**(-2)) or (np.abs(jval) < 10**(-2)): +# mat[i][j] = 0 +# else: +# pass #build index expnames = np.concatenate([ np.full(len(val.shifts), val.experiment_name, dtype=object) @@ -945,7 +967,6 @@ def matched_datasets_shift_matrix_correlations(matched_datasets_shift_matrix): index=matched_datasets_shift_matrix.index) return corrmat - @figure def plot_matched_datasets_shift_matrix_correlations( matched_datasets_shift_matrix): @@ -1048,9 +1069,15 @@ def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, thx_vector = collect('theory_vector', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) +def shift_matrix_threshold(threshold:(float, type(None)) = None): + """Returns the threshold for the difference in ratio between shift vector + elements outside which the shift matrix is set to 0""" + return threshold + @table def shift_to_theory_ratio(thx_corrmat, shx_corrmat): ratio = thx_corrmat[0]/shx_corrmat[0] + ratio.fillna(0) return ratio @figure @@ -1140,13 +1167,13 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the return fig -def theory_shift_test(thx_covmat, shx_vector, thx_vector): +def theory_shift_test(thx_covmat, shx_vector, thx_vector, evalue_cutoff:(float, type(None)) = None): matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) # Finding eigenvalues and eigenvectors w, v = la.eigh(matrix) w_max = w[-1] - w_nonzero = w[w>0.01*w_max] - nonzero_locs = np.nonzero(w>0.01*w_max)[0] + w_nonzero = w[w>evalue_cutoff*w_max] + nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] # ^ taking 0th element to extract list from tuple v_nonzero = [] for loc in nonzero_locs: @@ -1159,9 +1186,9 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector): fmiss = f - np.sum(projected_evectors, axis=0) return w_nonzero, v_nonzero, projectors, f, fmiss, w_max -def cutoff(theory_shift_test): +def cutoff(theory_shift_test, evalue_cutoff:(float, type(None)) = None): w_max = theory_shift_test[5] - cutoff = 0.01*w_max + cutoff = evalue_cutoff*w_max # print(f"cutoff = {cutoff}") return cutoff From e482bc47375e5e63ab055b0678b4290949fc3fee Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 28 Nov 2018 11:09:39 +0000 Subject: [PATCH 060/429] Normalising the shift vector to central theory vector at the level of shift_vector and matched_datasets_shift_matrix --- validphys2/src/validphys/theorycovariance.py | 29 ++++++++++++++------ 1 file changed, 20 insertions(+), 9 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index ff4448b821..a6dcdeb002 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -845,16 +845,23 @@ def dataspecs_dataset_prediction_shift(matched_dataspecs_results, experiment_nam #Not sure we want to export this, as it is 231 Mb... #@table def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, + matched_dataspecs_dataset_theory, + matched_dataspecs_results, threshold:(float, type(None)) = None): - """Priduce a matrix out of the outer product of + """Produce a matrix out of the outer product of ``dataspecs_dataset_prediction_shift``. The matrix will be a - pandas DataFrame, indexed similarly to ``experiments_index``.""" + pandas DataFrame, indexed similarly to ``experiments_index``. + Note that this produces the normalised shift matrix, i.e. it is + computed from shifts normalised to central theory.""" all_shifts = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_prediction_shift]) - mat = np.outer(all_shifts, all_shifts) + all_theory = np.concatenate( + [val.shifts for val in matched_dataspecs_dataset_theory]) + norm_shifts = all_shifts/all_theory + mat = np.outer(norm_shifts, norm_shifts) if threshold != None: - for i, ival in enumerate(all_shifts): - for j, jval in enumerate(all_shifts): + for i, ival in enumerate(norm_shifts): + for j, jval in enumerate(norm_shifts): if (ival!=0) and (jval!=0): if 1/threshold <= np.abs(ival/jval) <= threshold: pass @@ -888,9 +895,13 @@ def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, return pd.DataFrame(mat, columns=index, index=index) -def shift_vector(matched_dataspecs_dataset_prediction_shift): +def shift_vector(matched_dataspecs_dataset_prediction_shift, + matched_dataspecs_dataset_theory): all_shifts = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_prediction_shift]) + all_theory = np.concatenate( + [val.shifts for val in matched_dataspecs_dataset_theory]) + norm_shifts = all_shifts/all_theory #build index expnames = np.concatenate([ np.full(len(val.shifts), val.experiment_name, dtype=object) @@ -908,7 +919,7 @@ def shift_vector(matched_dataspecs_dataset_prediction_shift): index = pd.MultiIndex.from_arrays( [expnames, dsnames, point_indexes], names=["Experiment name", "Dataset name", "Point"]) - return pd.DataFrame(all_shifts, index=index) + return pd.DataFrame(norm_shifts, index=index) def dataspecs_dataset_theory(matched_dataspecs_results, experiment_name, dataset_name): central, *others = matched_dataspecs_results @@ -1178,7 +1189,7 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evalue_cutoff:(float, v_nonzero = [] for loc in nonzero_locs: v_nonzero.append(v[:,loc]) - f = (-shx_vector[0]/thx_vector[0]).values.T[0] + f = -shx_vector[0].values.T[0] projectors = np.sum(f*v_nonzero, axis=1) projected_evectors = np.zeros((len(projectors), (len(f)))) for i in range(len(projectors)): @@ -1243,7 +1254,7 @@ def projector_eigenvalue_ratio(theory_shift_test): @figure def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) - fnorm = -shx_vector[0]/thx_vector[0] + fnorm = -shx_vector[0] sqrtdiags = np.sqrt(np.diag(matrix)) fig, ax = plt.subplots(figsize=(20,10)) ax.plot(sqrtdiags*100, '.-', label="Theory", color = "red") From 2cc0778d270dee5fe5a21ce50fed94fd75cf1f18 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 28 Nov 2018 16:19:16 +0000 Subject: [PATCH 061/429] Adding Juan's methods 1 and 2 for applying threshold to shift covmat --- validphys2/src/validphys/theorycovariance.py | 54 ++++++++++++++------ 1 file changed, 37 insertions(+), 17 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index a6dcdeb002..a3a5a01c09 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -71,6 +71,20 @@ def _check_correct_theory_combination(theoryids, fivetheories): "Choice of input theories does not correspond to a valid " "prescription for theory covariance matrix calculation") +@make_argcheck +def _check_valid_shift_matrix_threshold_method(threshold:(int, float, None) = None, + method:(int, None) = None): + """Checks that a valid method 1 or 2 is chosen where a threshold for + removing elements of the shift correlation matrix has been specified""" + opts = {1,2} + if threshold != None: + check(method is not None, "A threshold for removing elements of the " + "shift correlation matrix has been specified but no choice of " + "method (1 or 2) was provided") + check(method in opts, + "Invalid choice of method for removing shift correlation matrix " + "elements. Please choose 1 or 2.") + def make_scale_var_covmat(predictions): """Takes N theory predictions at different scales and applies N-pt scale variations to produce a covariance matrix.""" @@ -844,10 +858,11 @@ def dataspecs_dataset_prediction_shift(matched_dataspecs_results, experiment_nam #Not sure we want to export this, as it is 231 Mb... #@table +@_check_valid_shift_matrix_threshold_method def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, matched_dataspecs_dataset_theory, - matched_dataspecs_results, - threshold:(float, type(None)) = None): + threshold:(int, float, type(None)) = None, + method:(int, type(None)) = None): """Produce a matrix out of the outer product of ``dataspecs_dataset_prediction_shift``. The matrix will be a pandas DataFrame, indexed similarly to ``experiments_index``. @@ -859,9 +874,14 @@ def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, [val.shifts for val in matched_dataspecs_dataset_theory]) norm_shifts = all_shifts/all_theory mat = np.outer(norm_shifts, norm_shifts) - if threshold != None: - for i, ival in enumerate(norm_shifts): - for j, jval in enumerate(norm_shifts): + for i, ival in enumerate(norm_shifts): + for j, jval in enumerate(norm_shifts): + if method == 1: + if (np.abs(ival) < threshold) or (np.abs(jval) < threshold): + mat[i][j] = 0 + else: + pass + elif method == 2: if (ival!=0) and (jval!=0): if 1/threshold <= np.abs(ival/jval) <= threshold: pass @@ -869,12 +889,6 @@ def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, mat[i][j] = 0 else: pass -# for i, ival in enumerate(all_shifts): -# for j, jval in enumerate(all_shifts): -# if (np.abs(ival) < 10**(-2)) or (np.abs(jval) < 10**(-2)): -# mat[i][j] = 0 -# else: -# pass #build index expnames = np.concatenate([ np.full(len(val.shifts), val.experiment_name, dtype=object) @@ -1080,15 +1094,19 @@ def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, thx_vector = collect('theory_vector', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) -def shift_matrix_threshold(threshold:(float, type(None)) = None): +def shift_matrix_threshold(threshold:(int, float, type(None)) = None): """Returns the threshold for the difference in ratio between shift vector elements outside which the shift matrix is set to 0""" return threshold +def shift_matrix_method(method:(int, type(None)) = None): + """Returns the choice of method used for setting the elements of the + shift covariance matrix to 0 """ + return method + @table def shift_to_theory_ratio(thx_corrmat, shx_corrmat): - ratio = thx_corrmat[0]/shx_corrmat[0] - ratio.fillna(0) + ratio = (thx_corrmat[0]/shx_corrmat[0]).fillna(0) return ratio @figure @@ -1111,7 +1129,8 @@ def shift_to_theory_ratio_plot(shift_to_theory_ratio): @figure def shift_corrmat_plot(shx_corrmat): - fig = plot_corrmat_heatmap(shx_corrmat[0], + # removing nans and setting them to 0 + fig = plot_corrmat_heatmap(shx_corrmat[0].fillna(0), "Shift correlation matrix") return fig @@ -1123,7 +1142,7 @@ def theory_corrmat_plot(thx_corrmat): @table def shift_corrmat_value_fractions(shx_corrmat): - mat = shx_corrmat[0].values + mat = shx_corrmat[0].fillna(0).values matsize = np.size(mat) fracplus = 100*np.size(np.where(mat>0))/(2*matsize) fracminus = 100*np.size(np.where(mat<0))/(2*matsize) @@ -1151,7 +1170,8 @@ def theory_corrmat_value_fractions(thx_corrmat): @table def shift_theory_element_comparison(shx_corrmat, thx_corrmat): - mat = thx_corrmat[0].values/shx_corrmat[0].values + mat = thx_corrmat[0].values/shx_corrmat[0].fillna(0).values + mat = np.nan_to_num(mat) matsize = np.size(mat) fracplus = 100*np.size(np.where(mat>0))/(2*matsize) fracminus = 100*np.size(np.where(mat<0))/(2*matsize) From bb10b864043b2e0f7ea8b0b4527402718558a5b2 Mon Sep 17 00:00:00 2001 From: Rabah Abdul Khalek Date: Thu, 29 Nov 2018 14:12:28 +0100 Subject: [PATCH 062/429] Flag added to nnpdfsettings --- nnpdfcpp/src/common/inc/nnpdfsettings.h | 2 ++ nnpdfcpp/src/common/src/nnpdfsettings.cc | 14 +++++++++++++- 2 files changed, 15 insertions(+), 1 deletion(-) diff --git a/nnpdfcpp/src/common/inc/nnpdfsettings.h b/nnpdfcpp/src/common/inc/nnpdfsettings.h index 09315b1456..bc13107451 100644 --- a/nnpdfcpp/src/common/inc/nnpdfsettings.h +++ b/nnpdfcpp/src/common/inc/nnpdfsettings.h @@ -78,6 +78,7 @@ struct PosSetInfo class NNPDFSettings { private: + bool fTHEORYUNC; //!< Bool to check if theory uncertainties are included string fFileName; string fPDFName; string fResultsDir; @@ -111,6 +112,7 @@ class NNPDFSettings void SetPlotFile(string const&); // Get methods + bool ThUncUsed() const; YAML::Node Get(const string& item) const; YAML::Node Get(const string& node, const string& item) const; YAML::Node GetPlotting(const string& item) const; diff --git a/nnpdfcpp/src/common/src/nnpdfsettings.cc b/nnpdfcpp/src/common/src/nnpdfsettings.cc index a961f78b2c..404769053c 100644 --- a/nnpdfcpp/src/common/src/nnpdfsettings.cc +++ b/nnpdfcpp/src/common/src/nnpdfsettings.cc @@ -179,10 +179,17 @@ NNPDFSettings::NNPDFSettings(const string &folder): const int theoryID = Get("theory","theoryid").as(); if ( theoryID < 0) throw RangeError("NNPDFSettings::NNPDFSettings", "Invalid Theory ID"); + stringstream td; td << "theory_" << theoryID; fTheoryDir = td.str(); + // Check if theory uncertainties are used + if (Exists("theorycovmatconfig","theoryids")) + fTHEORYUNC = true; + else + fTHEORYUNC = false; + // load theory map IndexDB db(get_data_path() + "/theory.db", "theoryIndex"); db.ExtractMap(theoryID, APFEL::kValues, fTheory); @@ -255,7 +262,12 @@ bool NNPDFSettings::Exists(const string &node, const string &item) const return !fConfig[node][item] ? false : true; } -YAML::Node NNPDFSettings::GetPlotting(const string& item) const +bool NNPDFSettings::ThUncUsed() const +{ + return fTHEORYUNC; +} + +YAML::Node NNPDFSettings::GetPlotting(const string &item) const { if (!fPlotting[item]) { From 05e97f3e3a6971a86a0d653b5c1bbb6ffdab1bb4 Mon Sep 17 00:00:00 2001 From: Rabah Abdul Khalek Date: Thu, 29 Nov 2018 14:17:19 +0100 Subject: [PATCH 063/429] Fixed type in read_total_covmat --- libnnpdf/src/experiments.cc | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index fa8d6f3241..8e254661c4 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -551,7 +551,7 @@ matrix read_total_covmat(const std::string filename) //! CHECKPOINT0: Check if the lines and columns of covmat matches. if (lines != columns) - throw EvaluationError("experiments", "Lines and Columns of covmat doesn't match.") + throw EvaluationError("experiments", "Lines and Columns of covmat doesn't match."); matrix covmat(lines, lines); @@ -572,7 +572,7 @@ matrix read_total_covmat(const std::string filename) //! Extra check, in case the format changes //! CHECKPOINT1: Read the last character of the line, if it's alphabetical, throw an error. if (isalpha(line[line.size() - 1])) - throw EvaluationError("experiments", "The format of covmat has probably changed.") + throw EvaluationError("experiments", "The format of covmat has probably changed."); std::stringstream ss(line); @@ -587,7 +587,7 @@ matrix read_total_covmat(const std::string filename) { //! CHECKPOINT2: Throw an error if reading of a line element fails if (ss.fail()) - throw EvaluationError("experiments", "Error while reading lines of the covmat.") + throw EvaluationError("experiments", "Error while reading lines of the covmat."); covmat(l, c) = entry; c++; From 177c98be1ec41fd4eaaf66746f34ed6c58f31927 Mon Sep 17 00:00:00 2001 From: Rabah Abdul Khalek Date: Mon, 3 Dec 2018 12:20:14 +0100 Subject: [PATCH 064/429] Resolved pointer conflict with master --- libnnpdf/src/NNPDF/experiments.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index a1bf4ebb15..fcbb591ab6 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -80,7 +80,7 @@ namespace NNPDF matrix fFitCovMat; //!< The total covmat for fitting matrix fSqrtFitCov; //!< The Cholesky decomposition of the total fitting covmat - double *fStat; //!< The statistical errors + std::vector fStat; //!< The statistical errors sysError **fSys; //!< The syscor int **fSetSysMap; //!< Map for ordering of systematics in datasets From 5e0de1bfd66174df3bd486b3d750b0f2dbd47de0 Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Mon, 3 Dec 2018 12:27:54 +0100 Subject: [PATCH 065/429] small adjustments, calling loading from nnfit --- libnnpdf/src/NNPDF/experiments.h | 8 +++----- libnnpdf/src/experiments.cc | 16 +++++++--------- nnpdfcpp/src/common/inc/nnpdfsettings.h | 4 +++- nnpdfcpp/src/common/src/nnpdfsettings.cc | 12 +++--------- nnpdfcpp/src/nnfit/src/nnfit.cc | 7 +++++++ 5 files changed, 23 insertions(+), 24 deletions(-) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index fcbb591ab6..b92a94d2bd 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -56,6 +56,9 @@ namespace NNPDF void SetT0(const PDFSet&); //! fRepCovMat; //!< The total covmat for replica generation matrix fSqrtRepCov; //!< The Cholesky decomposition of the total replica generation covmat - matrix fFitCovMat; //!< The total covmat for fitting - matrix fSqrtFitCov; //!< The Cholesky decomposition of the total fitting covmat std::vector fStat; //!< The statistical errors sysError **fSys; //!< The syscor @@ -94,9 +95,6 @@ namespace NNPDF void PullData(); //!< Pull experimental data from datasets void GenCovMat(); //!< Generate covmat and inverse - void LoadRepCovMat(std::string filename); //!< Read in covmat for rep gen, generate covmat and sqrt - void LoadFitCovMat(std::string filename); //!< Read in covmat for fitting, generate covmat and sqrt - }; // Auxiliary tools for replica generation diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index 729acac473..b3802331b4 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -72,8 +72,6 @@ fCovMat(exp.fCovMat), fSqrtCov(exp.fSqrtCov), fRepCovMat(exp.fRepCovMat), fSqrtRepCov(exp.fSqrtRepCov), -fFitCovMat(exp.fFitCovMat), -fSqrtFitCov(exp.fSqrtFitCov), fStat(NULL), fSys(NULL), fSetSysMap(NULL), @@ -162,7 +160,7 @@ void Experiment::MakeReplica() // Compute the sampling covariance matrix with data CVs, no multiplicative error and no theory errors matrix SamplingMatrix = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fData, fStat, fSys, false, false); SamplingMatrix = ComputeSqrtMat(SamplingMatrix); // Take the sqrt of the sampling matrix - + // generate procType array for ease of checking std::vector proctype; for (int s = 0; s < GetNSet(); s++) @@ -200,7 +198,7 @@ void Experiment::MakeReplica() xnor[i] = 1.0; for (int l = 0; l < fNSys; l++) - { + { if (fSys[i][l].name.compare("THEORYCORR")==0) continue; // Skip theoretical uncertainties if (fSys[i][l].name.compare("THEORYUNCORR")==0) continue; // Skip theoretical uncertainties if (fSys[i][l].name.compare("SKIP")==0) continue; // Skip uncertainties @@ -223,9 +221,9 @@ void Experiment::MakeReplica() } } } - + artdata[i] = xnor[i] * artdata[i]; - + } // If it's not a closure test, check for positivity of artifical data @@ -443,7 +441,7 @@ void Experiment::GenCovMat() { // Compute the Covariance matrix with t0 and NNPDF3.1 theory errors fCovMat = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, true, true); - fSqrtCov = ComputeSqrtMat(fCovMat); + fSqrtCov = ComputeSqrtMat(fCovMat); } /* @@ -550,8 +548,8 @@ void Experiment::LoadRepCovMat(string filename) */ void Experiment::LoadFitCovMat(string filename) { - fFitCovMat = read_total_covmat(filename); - fSqrtFitCov = ComputeSqrtMat(fFitCovMat); + fCovMat = read_total_covmat(filename); + fSqrtCov = ComputeSqrtMat(fCovMat); } void Experiment::ExportCovMat(string filename) diff --git a/nnpdfcpp/src/common/inc/nnpdfsettings.h b/nnpdfcpp/src/common/inc/nnpdfsettings.h index bc13107451..bc0a57e83b 100644 --- a/nnpdfcpp/src/common/inc/nnpdfsettings.h +++ b/nnpdfcpp/src/common/inc/nnpdfsettings.h @@ -78,7 +78,6 @@ struct PosSetInfo class NNPDFSettings { private: - bool fTHEORYUNC; //!< Bool to check if theory uncertainties are included string fFileName; string fPDFName; string fResultsDir; @@ -103,6 +102,8 @@ class NNPDFSettings map fTheory; + bool fThUncertainties; //!< true if the fit uses an external runcard, false otherwise. + public: NNPDFSettings(const string& folder); //!< The constructor @@ -137,6 +138,7 @@ class NNPDFSettings map const& GetTheoryMap() const { return fTheory; } bool IsQED() const; bool IsIC() const; + bool IsThUncertainties() const { return fThUncertainties; } gsl_integration_workspace *GetGSLWorkspace() const { return fGSLWork; } //!< GSL integration workspace diff --git a/nnpdfcpp/src/common/src/nnpdfsettings.cc b/nnpdfcpp/src/common/src/nnpdfsettings.cc index 404769053c..4c42ccf519 100644 --- a/nnpdfcpp/src/common/src/nnpdfsettings.cc +++ b/nnpdfcpp/src/common/src/nnpdfsettings.cc @@ -139,7 +139,8 @@ NNPDFSettings::NNPDFSettings(const string &folder): fPDFName(""), fResultsDir(""), fTheoryDir(""), - fGSLWork(NULL) + fGSLWork(NULL), + fThUncertainties(false) { // Read current PDF grid name from file. Splash(); @@ -186,9 +187,7 @@ NNPDFSettings::NNPDFSettings(const string &folder): // Check if theory uncertainties are used if (Exists("theorycovmatconfig","theoryids")) - fTHEORYUNC = true; - else - fTHEORYUNC = false; + fThUncertainties = true; // load theory map IndexDB db(get_data_path() + "/theory.db", "theoryIndex"); @@ -262,11 +261,6 @@ bool NNPDFSettings::Exists(const string &node, const string &item) const return !fConfig[node][item] ? false : true; } -bool NNPDFSettings::ThUncUsed() const -{ - return fTHEORYUNC; -} - YAML::Node NNPDFSettings::GetPlotting(const string &item) const { if (!fPlotting[item]) diff --git a/nnpdfcpp/src/nnfit/src/nnfit.cc b/nnpdfcpp/src/nnfit/src/nnfit.cc index 8b7a45d799..01c39772b2 100644 --- a/nnpdfcpp/src/nnfit/src/nnfit.cc +++ b/nnpdfcpp/src/nnfit/src/nnfit.cc @@ -376,6 +376,13 @@ void LoadAllDataAndSplit(NNPDFSettings const& settings, auto exp = std::make_unique(datasets, settings.GetExpName(i)); + // read covmat from file if specified in the runcard + if (settings.IsThUncertainties()) + { + exp->LoadRepCovMat(""); //TODO: SET THE RIGHT PREFIX + exp->LoadFitCovMat(""); //TODO: SET THE RIGHT PREFIX + } + // Apply MC shifts if (settings.Get("fitting","genrep").as()) exp->MakeReplica(); From 04609ff73d8ca7b86c432ae33d17a244872635e5 Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Mon, 3 Dec 2018 13:50:38 +0100 Subject: [PATCH 066/429] plugging in sampling covmat --- libnnpdf/src/NNPDF/experiments.h | 4 +--- libnnpdf/src/experiments.cc | 16 ++++++++-------- 2 files changed, 9 insertions(+), 11 deletions(-) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index b92a94d2bd..b6b298cba6 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -77,9 +77,7 @@ namespace NNPDF matrix fCovMat; //!< The covariance matrix matrix fSqrtCov; //!< The Cholesky decomposition of the covariance matrix - - matrix fRepCovMat; //!< The total covmat for replica generation - matrix fSqrtRepCov; //!< The Cholesky decomposition of the total replica generation covmat + matrix fSamplingMatrix; //!< The Cholesky decomposition of the total replica generation covmat std::vector fStat; //!< The statistical errors sysError **fSys; //!< The syscor diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index b3802331b4..af745e4e54 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -70,8 +70,7 @@ fNData(exp.fNData), fNSys(exp.fNSys), fCovMat(exp.fCovMat), fSqrtCov(exp.fSqrtCov), -fRepCovMat(exp.fRepCovMat), -fSqrtRepCov(exp.fSqrtRepCov), +fSamplingMatrix(exp.fSamplingMatrix), fStat(NULL), fSys(NULL), fSetSysMap(NULL), @@ -158,8 +157,11 @@ void Experiment::MakeReplica() sysType rST[2] = {ADD,MULT}; // Compute the sampling covariance matrix with data CVs, no multiplicative error and no theory errors - matrix SamplingMatrix = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fData, fStat, fSys, false, false); - SamplingMatrix = ComputeSqrtMat(SamplingMatrix); // Take the sqrt of the sampling matrix + if (fSamplingMatrix.size(0) == 0) + { + matrix SM = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fData, fStat, fSys, false, false); + fSamplingMatrix = ComputeSqrtMat(SM); // Take the sqrt of the sampling matrix + } // generate procType array for ease of checking std::vector proctype; @@ -185,7 +187,7 @@ void Experiment::MakeReplica() vector deviates(fNData, std::numeric_limits::quiet_NaN()); generate(deviates.begin(), deviates.end(), []()->double {return RandomGenerator::GetRNG()->GetRandomGausDev(1); } ); - const vector correlated_deviates = SamplingMatrix*deviates; + const vector correlated_deviates = fSamplingMatrix*deviates; // Additive noise is generated directly from the covariance matrix vector artdata(fData); @@ -258,7 +260,6 @@ void Experiment::MakeReplica() // Now the fData is artificial fIsArtificial = true; - return; } void Experiment::SetT0(const PDFSet& pdf){ @@ -539,8 +540,7 @@ matrix read_total_covmat(const std::string filename) */ void Experiment::LoadRepCovMat(string filename) { - fRepCovMat = read_total_covmat(filename); - fSqrtRepCov = ComputeSqrtMat(fRepCovMat); + fSamplingMatrix = ComputeSqrtMat(read_total_covmat(filename)); } /** From a8d8bc52a89d5daae4f41a535bcee93da4cb1c2b Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 3 Dec 2018 13:39:42 +0000 Subject: [PATCH 067/429] Revert "Add theory systype files" This reverts commit ba981e5433d38e55f8f9c51d78cbac27e1818e9b. --- .../data/commondata/systypes/SYSTYPE_TH_ATLAS1JET11_DEFAULT.dat | 2 -- .../systypes/SYSTYPE_TH_ATLASR04JETS2P76TEV_DEFAULT.dat | 2 -- .../commondata/systypes/SYSTYPE_TH_ATLASR04JETS36PB_DEFAULT.dat | 2 -- .../commondata/systypes/SYSTYPE_TH_ATLASZPT7TEV_DEFAULT.dat | 2 -- .../systypes/SYSTYPE_TH_ATLASZPT8TEVMDIST_DEFAULT.dat | 2 -- .../systypes/SYSTYPE_TH_ATLASZPT8TEVYDIST_DEFAULT.dat | 2 -- .../data/commondata/systypes/SYSTYPE_TH_CDFR2KT_DEFAULT.dat | 2 -- .../commondata/systypes/SYSTYPE_TH_CMS1JET276TEV_DEFAULT.dat | 2 -- .../data/commondata/systypes/SYSTYPE_TH_CMSJETS11_DEFAULT.dat | 2 -- .../data/commondata/systypes/SYSTYPE_TH_CMSZDIFF12_DEFAULT.dat | 2 -- 10 files changed, 20 deletions(-) delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLAS1JET11_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS2P76TEV_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS36PB_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT7TEV_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVMDIST_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVYDIST_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CDFR2KT_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMS1JET276TEV_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSJETS11_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSZDIFF12_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLAS1JET11_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLAS1JET11_DEFAULT.dat deleted file mode 100644 index 7b9f3a126c..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLAS1JET11_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS2P76TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS2P76TEV_DEFAULT.dat deleted file mode 100644 index 7b9f3a126c..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS2P76TEV_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS36PB_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS36PB_DEFAULT.dat deleted file mode 100644 index 7b9f3a126c..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASR04JETS36PB_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT7TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT7TEV_DEFAULT.dat deleted file mode 100644 index 7b9f3a126c..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT7TEV_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVMDIST_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVMDIST_DEFAULT.dat deleted file mode 100644 index 7b9f3a126c..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVMDIST_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVYDIST_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVYDIST_DEFAULT.dat deleted file mode 100644 index 7b9f3a126c..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_ATLASZPT8TEVYDIST_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CDFR2KT_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CDFR2KT_DEFAULT.dat deleted file mode 100644 index 7b9f3a126c..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CDFR2KT_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMS1JET276TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMS1JET276TEV_DEFAULT.dat deleted file mode 100644 index 7b9f3a126c..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMS1JET276TEV_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSJETS11_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSJETS11_DEFAULT.dat deleted file mode 100644 index 7b9f3a126c..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSJETS11_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 ADD THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSZDIFF12_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSZDIFF12_DEFAULT.dat deleted file mode 100644 index 7b9f3a126c..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TH_CMSZDIFF12_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 ADD THEORYCORR From 00673c87a5e5fa83858a94d5adaf1ac387f73ea6 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 3 Dec 2018 13:40:36 +0000 Subject: [PATCH 068/429] Revert "Add theory common data files" This reverts commit b963cfa52ecc2a2736bcba68dded6d2715ca861a. --- .../data/commondata/DATA_TH_ATLAS1JET11.dat | 141 ------------------ .../DATA_TH_ATLASR04JETS2P76TEV.dat | 60 -------- .../commondata/DATA_TH_ATLASR04JETS36PB.dat | 91 ----------- .../data/commondata/DATA_TH_ATLASZPT7TEV.dat | 79 ---------- .../commondata/DATA_TH_ATLASZPT8TEVMDIST.dat | 65 -------- .../commondata/DATA_TH_ATLASZPT8TEVYDIST.dat | 121 --------------- nnpdfcpp/data/commondata/DATA_TH_CDFR2KT.dat | 77 ---------- .../data/commondata/DATA_TH_CMS1JET276TEV.dat | 82 ---------- .../data/commondata/DATA_TH_CMSJETS11.dat | 134 ----------------- .../data/commondata/DATA_TH_CMSZDIFF12.dat | 51 ------- 10 files changed, 901 deletions(-) delete mode 100644 nnpdfcpp/data/commondata/DATA_TH_ATLAS1JET11.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_TH_ATLASR04JETS2P76TEV.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_TH_ATLASR04JETS36PB.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_TH_ATLASZPT7TEV.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_TH_ATLASZPT8TEVMDIST.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_TH_ATLASZPT8TEVYDIST.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_TH_CDFR2KT.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_TH_CMS1JET276TEV.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_TH_CMSJETS11.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_TH_CMSZDIFF12.dat diff --git a/nnpdfcpp/data/commondata/DATA_TH_ATLAS1JET11.dat b/nnpdfcpp/data/commondata/DATA_TH_ATLAS1JET11.dat deleted file mode 100644 index b27f60be1b..0000000000 --- a/nnpdfcpp/data/commondata/DATA_TH_ATLAS1JET11.dat +++ /dev/null @@ -1,141 +0,0 @@ -ATLAS1JET11 1 140 -1 1.800000000000000e+00 -2 1.800000000000000e+00 -3 1.800000000000000e+00 -4 1.800000000000000e+00 -5 1.800000000000000e+00 -6 1.800000000000000e+00 -7 1.800000000000000e+00 -8 1.800000000000000e+00 -9 1.800000000000000e+00 -10 1.800000000000000e+00 -11 1.800000000000000e+00 -12 1.800000000000000e+00 -13 1.800000000000000e+00 -14 1.800000000000000e+00 -15 1.800000000000000e+00 -16 1.800000000000000e+00 -17 1.800000000000000e+00 -18 1.800000000000000e+00 -19 1.800000000000000e+00 -20 1.800000000000000e+00 -21 1.800000000000000e+00 -22 1.800000000000000e+00 -23 1.800000000000000e+00 -24 1.800000000000000e+00 -25 1.800000000000000e+00 -26 1.800000000000000e+00 -27 1.800000000000000e+00 -28 1.800000000000000e+00 -29 1.800000000000000e+00 -30 1.800000000000000e+00 -31 1.800000000000000e+00 -32 1.800000000000000e+00 -33 1.800000000000000e+00 -34 1.800000000000000e+00 -35 1.800000000000000e+00 -36 1.800000000000000e+00 -37 1.800000000000000e+00 -38 1.800000000000000e+00 -39 1.800000000000000e+00 -40 1.800000000000000e+00 -41 1.800000000000000e+00 -42 1.800000000000000e+00 -43 1.800000000000000e+00 -44 1.800000000000000e+00 -45 1.800000000000000e+00 -46 1.800000000000000e+00 -47 1.800000000000000e+00 -48 1.800000000000000e+00 -49 1.800000000000000e+00 -50 1.800000000000000e+00 -51 1.800000000000000e+00 -52 1.800000000000000e+00 -53 1.800000000000000e+00 -54 1.800000000000000e+00 -55 1.800000000000000e+00 -56 1.800000000000000e+00 -57 1.800000000000000e+00 -58 1.800000000000000e+00 -59 1.800000000000000e+00 -60 1.800000000000000e+00 -61 1.800000000000000e+00 -62 1.800000000000000e+00 -63 1.800000000000000e+00 -64 1.800000000000000e+00 -65 1.800000000000000e+00 -66 1.800000000000000e+00 -67 1.800000000000000e+00 -68 1.800000000000000e+00 -69 1.800000000000000e+00 -70 1.800000000000000e+00 -71 1.800000000000000e+00 -72 1.800000000000000e+00 -73 1.800000000000000e+00 -74 1.800000000000000e+00 -75 1.800000000000000e+00 -76 1.800000000000000e+00 -77 1.800000000000000e+00 -78 1.800000000000000e+00 -79 1.800000000000000e+00 -80 1.800000000000000e+00 -81 1.800000000000000e+00 -82 1.800000000000000e+00 -83 1.800000000000000e+00 -84 1.800000000000000e+00 -85 1.800000000000000e+00 -86 1.800000000000000e+00 -87 1.800000000000000e+00 -88 1.800000000000000e+00 -89 1.800000000000000e+00 -90 1.800000000000000e+00 -91 1.800000000000000e+00 -92 1.800000000000000e+00 -93 1.800000000000000e+00 -94 1.800000000000000e+00 -95 1.800000000000000e+00 -96 1.800000000000000e+00 -97 1.800000000000000e+00 -98 1.800000000000000e+00 -99 1.800000000000000e+00 -100 1.800000000000000e+00 -101 1.800000000000000e+00 -102 1.800000000000000e+00 -103 1.800000000000000e+00 -104 1.800000000000000e+00 -105 1.800000000000000e+00 -106 1.800000000000000e+00 -107 1.800000000000000e+00 -108 1.800000000000000e+00 -109 1.800000000000000e+00 -110 1.800000000000000e+00 -111 1.800000000000000e+00 -112 1.800000000000000e+00 -113 1.800000000000000e+00 -114 1.800000000000000e+00 -115 1.800000000000000e+00 -116 1.800000000000000e+00 -117 1.800000000000000e+00 -118 1.800000000000000e+00 -119 1.800000000000000e+00 -120 1.800000000000000e+00 -121 1.800000000000000e+00 -122 1.800000000000000e+00 -123 1.800000000000000e+00 -124 1.800000000000000e+00 -125 1.800000000000000e+00 -126 1.800000000000000e+00 -127 1.800000000000000e+00 -128 1.800000000000000e+00 -129 1.800000000000000e+00 -130 1.800000000000000e+00 -131 1.800000000000000e+00 -132 1.800000000000000e+00 -133 1.800000000000000e+00 -134 1.800000000000000e+00 -135 1.800000000000000e+00 -136 1.800000000000000e+00 -137 1.800000000000000e+00 -138 1.800000000000000e+00 -139 1.800000000000000e+00 -140 1.800000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_TH_ATLASR04JETS2P76TEV.dat b/nnpdfcpp/data/commondata/DATA_TH_ATLASR04JETS2P76TEV.dat deleted file mode 100644 index c38fa4f04a..0000000000 --- a/nnpdfcpp/data/commondata/DATA_TH_ATLASR04JETS2P76TEV.dat +++ /dev/null @@ -1,60 +0,0 @@ -ATLASR04JETS2P76TEV 1 59 -1 0.000000000000000e+00 -2 0.000000000000000e+00 -3 0.000000000000000e+00 -4 0.000000000000000e+00 -5 0.000000000000000e+00 -6 0.000000000000000e+00 -7 0.000000000000000e+00 -8 0.000000000000000e+00 -9 0.000000000000000e+00 -10 0.000000000000000e+00 -11 0.000000000000000e+00 -12 0.000000000000000e+00 -13 0.000000000000000e+00 -14 0.000000000000000e+00 -15 0.000000000000000e+00 -16 0.000000000000000e+00 -17 0.000000000000000e+00 -18 0.000000000000000e+00 -19 0.000000000000000e+00 -20 0.000000000000000e+00 -21 0.000000000000000e+00 -22 0.000000000000000e+00 -23 0.000000000000000e+00 -24 0.000000000000000e+00 -25 0.000000000000000e+00 -26 0.000000000000000e+00 -27 0.000000000000000e+00 -28 0.000000000000000e+00 -29 0.000000000000000e+00 -30 0.000000000000000e+00 -31 0.000000000000000e+00 -32 0.000000000000000e+00 -33 0.000000000000000e+00 -34 0.000000000000000e+00 -35 0.000000000000000e+00 -36 0.000000000000000e+00 -37 0.000000000000000e+00 -38 0.000000000000000e+00 -39 0.000000000000000e+00 -40 0.000000000000000e+00 -41 0.000000000000000e+00 -42 0.000000000000000e+00 -43 0.000000000000000e+00 -44 0.000000000000000e+00 -45 0.000000000000000e+00 -46 0.000000000000000e+00 -47 0.000000000000000e+00 -48 0.000000000000000e+00 -49 0.000000000000000e+00 -50 0.000000000000000e+00 -51 2.000000000000000e+00 -52 1.000000000000000e+00 -53 1.000000000000000e+00 -54 1.000000000000000e+00 -55 1.000000000000000e+00 -56 1.000000000000000e+00 -57 0.000000000000000e+00 -58 0.000000000000000e+00 -59 0.000000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_TH_ATLASR04JETS36PB.dat b/nnpdfcpp/data/commondata/DATA_TH_ATLASR04JETS36PB.dat deleted file mode 100644 index 6f35fab7c5..0000000000 --- a/nnpdfcpp/data/commondata/DATA_TH_ATLASR04JETS36PB.dat +++ /dev/null @@ -1,91 +0,0 @@ -ATLASR04JETS36PB 1 90 -1 0.000000000000000e+00 -2 0.000000000000000e+00 -3 0.000000000000000e+00 -4 0.000000000000000e+00 -5 0.000000000000000e+00 -6 0.000000000000000e+00 -7 0.000000000000000e+00 -8 0.000000000000000e+00 -9 0.000000000000000e+00 -10 0.000000000000000e+00 -11 0.000000000000000e+00 -12 0.000000000000000e+00 -13 0.000000000000000e+00 -14 0.000000000000000e+00 -15 0.000000000000000e+00 -16 0.000000000000000e+00 -17 0.000000000000000e+00 -18 0.000000000000000e+00 -19 0.000000000000000e+00 -20 0.000000000000000e+00 -21 0.000000000000000e+00 -22 0.000000000000000e+00 -23 0.000000000000000e+00 -24 0.000000000000000e+00 -25 0.000000000000000e+00 -26 0.000000000000000e+00 -27 0.000000000000000e+00 -28 0.000000000000000e+00 -29 0.000000000000000e+00 -30 0.000000000000000e+00 -31 0.000000000000000e+00 -32 0.000000000000000e+00 -33 0.000000000000000e+00 -34 0.000000000000000e+00 -35 0.000000000000000e+00 -36 0.000000000000000e+00 -37 0.000000000000000e+00 -38 0.000000000000000e+00 -39 0.000000000000000e+00 -40 0.000000000000000e+00 -41 0.000000000000000e+00 -42 0.000000000000000e+00 -43 0.000000000000000e+00 -44 0.000000000000000e+00 -45 0.000000000000000e+00 -46 0.000000000000000e+00 -47 0.000000000000000e+00 -48 0.000000000000000e+00 -49 0.000000000000000e+00 -50 0.000000000000000e+00 -51 0.000000000000000e+00 -52 0.000000000000000e+00 -53 0.000000000000000e+00 -54 0.000000000000000e+00 -55 0.000000000000000e+00 -56 0.000000000000000e+00 -57 0.000000000000000e+00 -58 0.000000000000000e+00 -59 0.000000000000000e+00 -60 0.000000000000000e+00 -61 0.000000000000000e+00 -62 0.000000000000000e+00 -63 0.000000000000000e+00 -64 0.000000000000000e+00 -65 0.000000000000000e+00 -66 0.000000000000000e+00 -67 0.000000000000000e+00 -68 0.000000000000000e+00 -69 0.000000000000000e+00 -70 0.000000000000000e+00 -71 0.000000000000000e+00 -72 0.000000000000000e+00 -73 0.000000000000000e+00 -74 0.000000000000000e+00 -75 0.000000000000000e+00 -76 2.000000000000000e+00 -77 1.000000000000000e+00 -78 1.000000000000000e+00 -79 1.000000000000000e+00 -80 1.000000000000000e+00 -81 1.000000000000000e+00 -82 1.000000000000000e+00 -83 1.000000000000000e+00 -84 1.000000000000000e+00 -85 0.000000000000000e+00 -86 0.000000000000000e+00 -87 0.000000000000000e+00 -88 0.000000000000000e+00 -89 0.000000000000000e+00 -90 0.000000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_TH_ATLASZPT7TEV.dat b/nnpdfcpp/data/commondata/DATA_TH_ATLASZPT7TEV.dat deleted file mode 100644 index 0d646dc701..0000000000 --- a/nnpdfcpp/data/commondata/DATA_TH_ATLASZPT7TEV.dat +++ /dev/null @@ -1,79 +0,0 @@ -ATLASZPT7TEV 1 78 -1 0.000000000000000e+00 -2 0.000000000000000e+00 -3 0.000000000000000e+00 -4 0.000000000000000e+00 -5 0.000000000000000e+00 -6 0.000000000000000e+00 -7 0.000000000000000e+00 -8 0.000000000000000e+00 -9 0.000000000000000e+00 -10 0.000000000000000e+00 -11 0.000000000000000e+00 -12 0.000000000000000e+00 -13 0.000000000000000e+00 -14 0.000000000000000e+00 -15 0.000000000000000e+00 -16 0.000000000000000e+00 -17 0.000000000000000e+00 -18 0.000000000000000e+00 -19 0.000000000000000e+00 -20 0.000000000000000e+00 -21 0.000000000000000e+00 -22 0.000000000000000e+00 -23 0.000000000000000e+00 -24 0.000000000000000e+00 -25 0.000000000000000e+00 -26 0.000000000000000e+00 -27 0.000000000000000e+00 -28 0.000000000000000e+00 -29 0.000000000000000e+00 -30 0.000000000000000e+00 -31 0.000000000000000e+00 -32 0.000000000000000e+00 -33 0.000000000000000e+00 -34 0.000000000000000e+00 -35 0.000000000000000e+00 -36 0.000000000000000e+00 -37 0.000000000000000e+00 -38 0.000000000000000e+00 -39 0.000000000000000e+00 -40 0.000000000000000e+00 -41 0.000000000000000e+00 -42 0.000000000000000e+00 -43 0.000000000000000e+00 -44 0.000000000000000e+00 -45 0.000000000000000e+00 -46 0.000000000000000e+00 -47 0.000000000000000e+00 -48 0.000000000000000e+00 -49 0.000000000000000e+00 -50 0.000000000000000e+00 -51 0.000000000000000e+00 -52 0.000000000000000e+00 -53 5.183222660618507e-08 -54 -2.529912989882209e-08 -55 2.368422550692780e-08 -56 3.101788415547413e-08 -57 5.395296041070846e-08 -58 6.081498214708961e-08 -59 -1.544062803953847e-07 -60 4.865572516912657e-07 -61 2.502524666691276e-07 -62 -3.065131897559982e-07 -63 1.092703157501436e-06 -64 -5.062257356483010e-07 -65 -7.665330937782068e-07 -66 3.443356583882828e-07 -67 2.770392120976391e-06 -68 -7.489300986562580e-06 -69 1.129924122597417e-06 -70 2.059020922354871e-07 -71 1.341831956434569e-05 -72 -1.547529377184145e-08 -73 8.098170197217738e-05 -74 3.879829111416307e-04 -75 9.071506026165712e-04 -76 -5.702983149322510e-02 -77 -1.167810444896017e+01 -78 1.852052473924687e+00 diff --git a/nnpdfcpp/data/commondata/DATA_TH_ATLASZPT8TEVMDIST.dat b/nnpdfcpp/data/commondata/DATA_TH_ATLASZPT8TEVMDIST.dat deleted file mode 100644 index fbedfe576d..0000000000 --- a/nnpdfcpp/data/commondata/DATA_TH_ATLASZPT8TEVMDIST.dat +++ /dev/null @@ -1,65 +0,0 @@ -ATLASZPT8TEVMDIST 1 64 -1 -7.135000000000000e-01 -2 -9.110000000000000e-01 -3 -1.068900000000000e+00 -4 -1.197700000000000e+00 -5 -1.328400000000000e+00 -6 -1.412200000000000e+00 -7 -1.802500000000000e+00 -8 -2.079200000000000e+00 -9 -5.061000000000000e-01 -10 -4.953000000000000e-01 -11 -6.901000000000000e-01 -12 -7.665000000000000e-01 -13 -7.161999999999999e-01 -14 -5.525000000000000e-01 -15 -6.688000000000000e-01 -16 -3.998000000000000e-01 -17 -4.818000000000000e-01 -18 -5.087000000000000e-01 -19 -4.179000000000000e-01 -20 -6.002000000000000e-01 -21 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a/nnpdfcpp/data/commondata/DATA_TH_CMS1JET276TEV.dat b/nnpdfcpp/data/commondata/DATA_TH_CMS1JET276TEV.dat deleted file mode 100644 index b83413b887..0000000000 --- a/nnpdfcpp/data/commondata/DATA_TH_CMS1JET276TEV.dat +++ /dev/null @@ -1,82 +0,0 @@ -CMS1JET276TEV 1 81 -1 0.000000000000000e+00 -2 0.000000000000000e+00 -3 0.000000000000000e+00 -4 0.000000000000000e+00 -5 0.000000000000000e+00 -6 0.000000000000000e+00 -7 0.000000000000000e+00 -8 0.000000000000000e+00 -9 0.000000000000000e+00 -10 0.000000000000000e+00 -11 0.000000000000000e+00 -12 0.000000000000000e+00 -13 0.000000000000000e+00 -14 0.000000000000000e+00 -15 0.000000000000000e+00 -16 0.000000000000000e+00 -17 0.000000000000000e+00 -18 0.000000000000000e+00 -19 0.000000000000000e+00 -20 0.000000000000000e+00 -21 0.000000000000000e+00 -22 0.000000000000000e+00 -23 0.000000000000000e+00 -24 0.000000000000000e+00 -25 0.000000000000000e+00 -26 0.000000000000000e+00 -27 0.000000000000000e+00 -28 0.000000000000000e+00 -29 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0.000000000000000e+00 -68 0.000000000000000e+00 -69 0.000000000000000e+00 -70 0.000000000000000e+00 -71 0.000000000000000e+00 -72 0.000000000000000e+00 -73 0.000000000000000e+00 -74 0.000000000000000e+00 -75 0.000000000000000e+00 -76 -2.947991322597412e-05 -77 2.989105443507608e-04 -78 -8.270330677263030e-03 -79 1.988257714197532e-01 -80 -1.419543419232672e+01 -81 -3.586707421647082e+01 diff --git a/nnpdfcpp/data/commondata/DATA_TH_CMSJETS11.dat b/nnpdfcpp/data/commondata/DATA_TH_CMSJETS11.dat deleted file mode 100644 index 47f5b48bc3..0000000000 --- a/nnpdfcpp/data/commondata/DATA_TH_CMSJETS11.dat +++ /dev/null @@ -1,134 +0,0 @@ -CMSJETS11 1 133 -1 0.000000000000000e+00 -2 0.000000000000000e+00 -3 0.000000000000000e+00 -4 0.000000000000000e+00 -5 0.000000000000000e+00 -6 0.000000000000000e+00 -7 0.000000000000000e+00 -8 0.000000000000000e+00 -9 0.000000000000000e+00 -10 0.000000000000000e+00 -11 0.000000000000000e+00 -12 0.000000000000000e+00 -13 0.000000000000000e+00 -14 0.000000000000000e+00 -15 0.000000000000000e+00 -16 0.000000000000000e+00 -17 0.000000000000000e+00 -18 0.000000000000000e+00 -19 0.000000000000000e+00 -20 0.000000000000000e+00 -21 0.000000000000000e+00 -22 0.000000000000000e+00 -23 0.000000000000000e+00 -24 0.000000000000000e+00 -25 0.000000000000000e+00 -26 0.000000000000000e+00 -27 0.000000000000000e+00 -28 0.000000000000000e+00 -29 0.000000000000000e+00 -30 0.000000000000000e+00 -31 0.000000000000000e+00 -32 0.000000000000000e+00 -33 0.000000000000000e+00 -34 2.474873734152916e-01 -35 3.181980515339464e-01 -36 3.535533905932737e-01 -37 4.242640687119285e-01 -38 4.949747468305832e-01 -39 5.656854249492380e-01 -40 6.717514421272200e-01 -41 7.778174593052022e-01 -42 8.485281374238570e-01 -43 9.899494936611665e-01 -44 1.060660171779821e+00 -45 1.202081528017131e+00 -46 1.343502884254440e+00 -47 1.484924240491750e+00 -48 1.661700935788386e+00 -49 1.803122292025696e+00 -50 1.979898987322333e+00 -51 2.156675682618970e+00 -52 2.368807716974934e+00 -53 2.580939751330898e+00 -54 2.793071785686863e+00 -55 3.040559159102154e+00 -56 3.323401871576773e+00 -57 3.570889244992065e+00 -58 3.853731957466684e+00 -59 4.136574669941302e+00 -60 4.490128060534576e+00 -61 4.808326112068523e+00 -62 5.161879502661796e+00 -63 6.222539674441618e+00 -64 0.000000000000000e+00 -65 0.000000000000000e+00 -66 0.000000000000000e+00 -67 0.000000000000000e+00 -68 0.000000000000000e+00 -69 0.000000000000000e+00 -70 0.000000000000000e+00 -71 0.000000000000000e+00 -72 0.000000000000000e+00 -73 0.000000000000000e+00 -74 0.000000000000000e+00 -75 0.000000000000000e+00 -76 0.000000000000000e+00 -77 0.000000000000000e+00 -78 0.000000000000000e+00 -79 0.000000000000000e+00 -80 0.000000000000000e+00 -81 0.000000000000000e+00 -82 0.000000000000000e+00 -83 0.000000000000000e+00 -84 0.000000000000000e+00 -85 0.000000000000000e+00 -86 0.000000000000000e+00 -87 0.000000000000000e+00 -88 0.000000000000000e+00 -89 0.000000000000000e+00 -90 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0.000000000000000e+00 -128 0.000000000000000e+00 -129 0.000000000000000e+00 -130 0.000000000000000e+00 -131 0.000000000000000e+00 -132 0.000000000000000e+00 -133 0.000000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_TH_CMSZDIFF12.dat b/nnpdfcpp/data/commondata/DATA_TH_CMSZDIFF12.dat deleted file mode 100644 index 5a13ee2932..0000000000 --- a/nnpdfcpp/data/commondata/DATA_TH_CMSZDIFF12.dat +++ /dev/null @@ -1,51 +0,0 @@ -CMSZDIFF12 1 50 -1 3.037608234630858e-10 -2 1.589369552712661e-08 -3 3.398915877586493e-08 -4 1.360445222672183e-06 -5 2.531287718442868e-06 -6 4.339740927498337e-06 -7 2.242888162836825e-05 -8 9.931620790770033e-05 -9 -5.924509548246928e-05 -10 -1.565586282843152e+00 -11 -2.830857079730149e-09 -12 -3.460363786250350e-08 -13 -4.431687582560261e-08 -14 9.346934711870794e-07 -15 1.257382689048241e-06 -16 3.387301894896681e-06 -17 1.248747092477871e-05 -18 6.917269142442280e-05 -19 1.250657757177405e-04 -20 -8.032831689109220e-01 -21 5.476371037423614e-11 -22 -3.112208422101036e-08 -23 1.436326592840190e-08 -24 7.311115310131807e-07 -25 2.343150468562027e-06 -26 7.821393741124823e-06 -27 3.719194773114665e-05 -28 6.510504840250265e-05 -29 -1.309996505640514e-04 -30 -1.688303041282414e+00 -31 6.740223740490477e-09 -32 -4.652170777256785e-08 -33 -2.103535683026323e-08 -34 9.601229244360704e-07 -35 6.835628017431077e-07 -36 -6.027661294188000e-07 -37 3.515692323160527e-06 -38 1.608550792107230e-05 -39 5.911396265953245e-05 -40 -4.110574924360554e-01 -41 2.143068276151242e-08 -42 -2.152593850553017e-08 -43 -1.257787987192921e-07 -44 1.181299841544997e-06 -45 3.520504489693601e-07 -46 5.420687748549322e-06 -47 3.477941266606706e-05 -48 6.185321192814146e-05 -49 2.160875587047164e-05 -50 -1.142961141498135e-01 From 21c5c8cb2f0b743ea285dd18b2c06b46446c98ea Mon Sep 17 00:00:00 2001 From: Rabah Abdul Khalek Date: Mon, 3 Dec 2018 15:58:29 +0100 Subject: [PATCH 069/429] reading hardcoded paths, covmat from txt file --- nnpdfcpp/src/nnfit/src/nnfit.cc | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/nnpdfcpp/src/nnfit/src/nnfit.cc b/nnpdfcpp/src/nnfit/src/nnfit.cc index 01c39772b2..341c13f95f 100644 --- a/nnpdfcpp/src/nnfit/src/nnfit.cc +++ b/nnpdfcpp/src/nnfit/src/nnfit.cc @@ -379,10 +379,13 @@ void LoadAllDataAndSplit(NNPDFSettings const& settings, // read covmat from file if specified in the runcard if (settings.IsThUncertainties()) { - exp->LoadRepCovMat(""); //TODO: SET THE RIGHT PREFIX - exp->LoadFitCovMat(""); //TODO: SET THE RIGHT PREFIX - } + string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat.csv"; + string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat.csv"; + exp->LoadRepCovMat(RepCovMatPath); + exp->LoadFitCovMat(FitCovMatPath); + } + // Apply MC shifts if (settings.Get("fitting","genrep").as()) exp->MakeReplica(); From 748ecbebe98d263e70a0cf259a0cbc06ff341608 Mon Sep 17 00:00:00 2001 From: Rabah Abdul Khalek Date: Tue, 4 Dec 2018 11:22:28 +0100 Subject: [PATCH 070/429] Fixed small bug in the reading of covmat, the function is tested and ready to go --- libnnpdf/src/experiments.cc | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index af745e4e54..4477cb1ee1 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -490,8 +490,7 @@ matrix read_total_covmat(const std::string filename) if (lines != columns) throw EvaluationError("experiments", "Lines and Columns of covmat doesn't match."); - matrix - covmat(lines, lines); + matrix covmat(lines, lines); //====READ CovMat into matrix object // Skip the first lines @@ -502,9 +501,10 @@ matrix read_total_covmat(const std::string filename) for (int i = 0; i < first_lines_to_skip; ++i) std::getline(file, line); - int l = 0, c = 0; + int l = 0; while (std::getline(file, line)) //Read a line { + int c = 0; double entry; //! Extra check, in case the format changes //! CHECKPOINT1: Read the last character of the line, if it's alphabetical, throw an error. @@ -527,7 +527,7 @@ matrix read_total_covmat(const std::string filename) throw EvaluationError("experiments", "Error while reading lines of the covmat."); covmat(l, c) = entry; - c++; + c++; } //columns loop l++; } //line loop From 44a0fedeb72ebc14e055a60c7a2582c9b7297c45 Mon Sep 17 00:00:00 2001 From: Rabah Abdul Khalek Date: Tue, 4 Dec 2018 11:36:58 +0100 Subject: [PATCH 071/429] Indentation correction --- libnnpdf/src/experiments.cc | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index 4477cb1ee1..3186f2fbf0 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -448,7 +448,6 @@ void Experiment::GenCovMat() /* * Reads in covariance matrix for an experiment from pandas dataframe */ - matrix read_total_covmat(const std::string filename) { const int first_lines_to_skip = 4; //experiment, dataset, id, header @@ -511,7 +510,7 @@ matrix read_total_covmat(const std::string filename) if (isalpha(line[line.size() - 1])) throw EvaluationError("experiments", "The format of covmat has probably changed."); - std::stringstream ss(line); + std::stringstream ss(line); // Skip the first columns for (int i = 0; i < first_columns_to_skip; ++i) @@ -526,8 +525,8 @@ matrix read_total_covmat(const std::string filename) if (ss.fail()) throw EvaluationError("experiments", "Error while reading lines of the covmat."); - covmat(l, c) = entry; - c++; + covmat(l, c) = entry; + c++; } //columns loop l++; } //line loop From aef3ee1a2ec78b7e4c21e44a0414ee364af1a638 Mon Sep 17 00:00:00 2001 From: Rabah Abdul Khalek Date: Tue, 4 Dec 2018 14:43:50 +0100 Subject: [PATCH 072/429] training/validation Mask for CovMat --- libnnpdf/src/NNPDF/experiments.h | 4 +-- libnnpdf/src/experiments.cc | 23 +++++++++++++---- nnpdfcpp/src/nnfit/src/nnfit.cc | 42 +++++++++++++++++++++++++++++++- 3 files changed, 61 insertions(+), 8 deletions(-) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index b6b298cba6..df8ed9a7bc 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -56,8 +56,8 @@ namespace NNPDF void SetT0(const PDFSet&); //! bmask = std::vector(0)); //!< Read in covmat for rep gen, generate covmat and sqrt + void LoadFitCovMat(std::string filename, std::vector bmask = std::vector(0)); //!< Read in covmat for fitting, generate covmat and sqrt private: diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index 3186f2fbf0..f3dd3abaf6 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -448,7 +448,7 @@ void Experiment::GenCovMat() /* * Reads in covariance matrix for an experiment from pandas dataframe */ -matrix read_total_covmat(const std::string filename) +matrix read_total_covmat(const std::string filename, std::vector bmask = std::vector(0)) { const int first_lines_to_skip = 4; //experiment, dataset, id, header const int first_columns_to_skip = 3; //experiment, dataset, id @@ -478,10 +478,17 @@ matrix read_total_covmat(const std::string filename) ss >> entry; while (ss >> entry) + { + if (!bmask.empty() && !bmask.at(columns)) + continue; columns++; + } } ONCE = false; + if (!bmask.empty() && !bmask.at(lines)) + continue; + lines++; } @@ -510,6 +517,9 @@ matrix read_total_covmat(const std::string filename) if (isalpha(line[line.size() - 1])) throw EvaluationError("experiments", "The format of covmat has probably changed."); + if (!bmask.empty() && !bmask.at(l)) + continue; + std::stringstream ss(line); // Skip the first columns @@ -525,6 +535,9 @@ matrix read_total_covmat(const std::string filename) if (ss.fail()) throw EvaluationError("experiments", "Error while reading lines of the covmat."); + if (!bmask.empty() && !bmask.at(c)) + continue; + covmat(l, c) = entry; c++; } //columns loop @@ -537,17 +550,17 @@ matrix read_total_covmat(const std::string filename) /** * Read in covariance matrix for replica generation from file, and generate covariance matrix and its square root */ -void Experiment::LoadRepCovMat(string filename) +void Experiment::LoadRepCovMat(string filename, std::vector bmask) { - fSamplingMatrix = ComputeSqrtMat(read_total_covmat(filename)); + fSamplingMatrix = ComputeSqrtMat(read_total_covmat(filename, bmask)); } /** * Read in covariance matrix to be used in fit from file, and generate covariance matrix and its square root */ -void Experiment::LoadFitCovMat(string filename) +void Experiment::LoadFitCovMat(string filename, std::vector bmask) { - fCovMat = read_total_covmat(filename); + fCovMat = read_total_covmat(filename, bmask); fSqrtCov = ComputeSqrtMat(fCovMat); } diff --git a/nnpdfcpp/src/nnfit/src/nnfit.cc b/nnpdfcpp/src/nnfit/src/nnfit.cc index 341c13f95f..dda2656343 100644 --- a/nnpdfcpp/src/nnfit/src/nnfit.cc +++ b/nnpdfcpp/src/nnfit/src/nnfit.cc @@ -486,6 +486,10 @@ void TrainValidSplit(NNPDFSettings const& settings, vector trainingSets; vector validationSets; + vector trCovMatMask(0); + vector valCovMatMask(0); + int AccumulatedData = 0; + int expValSize = 0; // size of validation experiment for (int s = 0; s < exp->GetNSet(); s++) @@ -504,9 +508,32 @@ void TrainValidSplit(NNPDFSettings const& settings, const vector trMaskset(mask.begin(), mask.begin() + trMax); const vector valMaskset(mask.begin() + trMax, mask.end()); + if (settings.IsThUncertainties()) + { + /* + * Flag the points for training and validations + */ + + //initializing to zero + for (int i = 0; i < set.GetNData(); i++) + { + trCovMatMask.push_back(0); + valCovMatMask.push_back(0); + } + + //Creating the boolean mask + for (int i = 0; i < trMaskset.size(); i++) + trCovMatMask.at(AccumulatedData + trMaskset.at(i)) = 1; + for (int i = 0; i < valMaskset.size(); i++) + valCovMatMask.at(AccumulatedData + valMaskset.at(i)) = 1; + + //Accumulating Sets NData + AccumulatedData += set.GetNData(); + } + // Initializing new datasets trainingSets.push_back(DataSet(exp->GetSet(s), trMaskset)); - if ((int) valMaskset.size() != 0) + if ((int)valMaskset.size() != 0) { validationSets.push_back(DataSet(exp->GetSet(s), valMaskset)); expValSize += valMaskset.size(); @@ -519,4 +546,17 @@ void TrainValidSplit(NNPDFSettings const& settings, cout << Colour::FG_BLUE << "- Building Validation" << Colour::FG_DEFAULT << endl; if (expValSize != 0) val = new Experiment(*exp, validationSets); + + // read covmat from file if specified in the runcard + if (settings.IsThUncertainties()) + { + string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat.csv"; + string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat.csv"; + + tr->LoadRepCovMat(RepCovMatPath, trCovMatMask); + tr->LoadFitCovMat(FitCovMatPath, trCovMatMask); + + val->LoadRepCovMat(RepCovMatPath, valCovMatMask); + val->LoadFitCovMat(FitCovMatPath, valCovMatMask); + } } From 42cec3e0597d92e2383cd3d38ffcd09dc5c544f8 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 4 Dec 2018 15:15:17 +0000 Subject: [PATCH 073/429] COmparing shift and theory correlation matrices --- validphys2/src/validphys/theorycovariance.py | 81 ++++++++++++-------- 1 file changed, 48 insertions(+), 33 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index a3a5a01c09..2286e713b2 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -72,12 +72,12 @@ def _check_correct_theory_combination(theoryids, fivetheories): "prescription for theory covariance matrix calculation") @make_argcheck -def _check_valid_shift_matrix_threshold_method(threshold:(int, float, None) = None, +def _check_valid_shift_matrix_threshold_method(shift_threshold:(int, float, None) = None, method:(int, None) = None): """Checks that a valid method 1 or 2 is chosen where a threshold for removing elements of the shift correlation matrix has been specified""" opts = {1,2} - if threshold != None: + if shift_threshold != None: check(method is not None, "A threshold for removing elements of the " "shift correlation matrix has been specified but no choice of " "method (1 or 2) was provided") @@ -861,7 +861,7 @@ def dataspecs_dataset_prediction_shift(matched_dataspecs_results, experiment_nam @_check_valid_shift_matrix_threshold_method def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, matched_dataspecs_dataset_theory, - threshold:(int, float, type(None)) = None, + shift_threshold:(int, float, type(None)) = None, method:(int, type(None)) = None): """Produce a matrix out of the outer product of ``dataspecs_dataset_prediction_shift``. The matrix will be a @@ -877,14 +877,19 @@ def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, for i, ival in enumerate(norm_shifts): for j, jval in enumerate(norm_shifts): if method == 1: - if (np.abs(ival) < threshold) or (np.abs(jval) < threshold): + if (np.abs(ival) < shift_threshold) or (np.abs(jval) < shift_threshold): mat[i][j] = 0 + elif mat[i][j] > 0: + mat[i][j] = 1 else: - pass + mat[i][j] = -1 elif method == 2: if (ival!=0) and (jval!=0): - if 1/threshold <= np.abs(ival/jval) <= threshold: - pass + if 1/shift_threshold <= np.abs(ival/jval) <= shift_threshold: + if mat[i][j] > 0: + mat[i][j] = 1 + else: + mat[i][j] = -1 else: mat[i][j] = 0 else: @@ -1094,15 +1099,10 @@ def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, thx_vector = collect('theory_vector', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) -def shift_matrix_threshold(threshold:(int, float, type(None)) = None): - """Returns the threshold for the difference in ratio between shift vector - elements outside which the shift matrix is set to 0""" - return threshold - -def shift_matrix_method(method:(int, type(None)) = None): - """Returns the choice of method used for setting the elements of the - shift covariance matrix to 0 """ - return method +def theory_matrix_threshold(theory_threshold:(int, float) = 0): + """Returns the threshold below which theory correlation elements are set to + zero when comparing to shift correlation matrix""" + return theory_threshold @table def shift_to_theory_ratio(thx_corrmat, shx_corrmat): @@ -1112,11 +1112,12 @@ def shift_to_theory_ratio(thx_corrmat, shx_corrmat): @figure def shift_to_theory_ratio_plot(shift_to_theory_ratio): matrix = shift_to_theory_ratio - bins = np.linspace(-1, 1, num=21) - digmatrix = np.digitize(matrix, bins) - symdigmatrix = np.zeros((len(digmatrix), len(digmatrix))) - for binnumber in range(len(bins)): - symdigmatrix[digmatrix==binnumber+1] = bins[binnumber] + matrix[((matrix==np.inf) | (matrix==-np.inf))] = 0 +# bins = np.linspace(-1, 1, num=21) +# digmatrix = np.digitize(matrix, bins) +# symdigmatrix = np.zeros((len(digmatrix), len(digmatrix))) +# for binnumber in range(len(bins)): +# symdigmatrix[digmatrix==binnumber+1] = bins[binnumber] fig, ax = plt.subplots(figsize=(15,15)) matrixplot = ax.matshow(matrix, cmap=cm.Spectral_r) fig.colorbar(matrixplot) @@ -1155,12 +1156,19 @@ def shift_corrmat_value_fractions(shx_corrmat): return table @table -def theory_corrmat_value_fractions(thx_corrmat): +def theory_corrmat_value_fractions(thx_corrmat, + theory_threshold:(int, float) = 0): mat = thx_corrmat[0].values + newmat = np.zeros((len(mat),len(mat))) + #coarse graining for comparison + newmat[mat>=theory_threshold]=1 + newmat[mat<=-theory_threshold]=-1 +# mask = ((mat!=-1) & (mat!=1)) +# mat[mask]=0 matsize = np.size(mat) - fracplus = 100*np.size(np.where(mat>0))/(2*matsize) - fracminus = 100*np.size(np.where(mat<0))/(2*matsize) - fraczero = 100*np.size(np.where(mat==0))/(2*matsize) + fracplus = 100*np.size(np.where(newmat>0))/(2*matsize) + fracminus = 100*np.size(np.where(newmat<0))/(2*matsize) + fraczero = 100*np.size(np.where(newmat==0))/(2*matsize) table = pd.DataFrame([fracplus, fracminus, fraczero], index=[r'$\tilde{f}_{\rho=+1}$', r'$\tilde{f}_{\rho=-1}$', @@ -1169,16 +1177,23 @@ def theory_corrmat_value_fractions(thx_corrmat): return table @table -def shift_theory_element_comparison(shx_corrmat, thx_corrmat): - mat = thx_corrmat[0].values/shx_corrmat[0].fillna(0).values - mat = np.nan_to_num(mat) - matsize = np.size(mat) - fracplus = 100*np.size(np.where(mat>0))/(2*matsize) - fracminus = 100*np.size(np.where(mat<0))/(2*matsize) - table = pd.DataFrame([fracplus, fracminus], +def shift_theory_element_comparison(shx_corrmat, thx_corrmat, + theory_threshold:(int, float) = 0): + #coarse graining for comparison + thmat = thx_corrmat[0].values + newthmat = np.zeros((len(thmat),len(thmat))) + newthmat[thmat>=theory_threshold]=1 + newthmat[thmat<=-theory_threshold]=-1 +# mask = ((thmat!=-1) & (thmat!=1)) +# thmat[mask]=0 + shmat = shx_corrmat[0].fillna(0).values + num_non_zero = np.size(np.where(shmat!=0))/2 + fracsame = 100*np.size(np.where((shmat==newthmat) & (shmat!=0)))/(2*num_non_zero) + fracdiff = 100*np.size(np.where((shmat!=newthmat) & (shmat!=0)))/(2*num_non_zero) + table = pd.DataFrame([fracsame, fracdiff], index=['same sign', 'different signs'], - columns = ["% of total entries"]) + columns = ["% of total entries (where shift matrix is non-zero)"]) return table From c47b4bac065edd11e157650fd181113b4bc20c72 Mon Sep 17 00:00:00 2001 From: Rabah Abdul Khalek Date: Wed, 5 Dec 2018 13:16:39 +0100 Subject: [PATCH 074/429] Added theoryCovMat to compute final chi2 --- nnpdfcpp/src/nnfit/src/nnfit.cc | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/nnpdfcpp/src/nnfit/src/nnfit.cc b/nnpdfcpp/src/nnfit/src/nnfit.cc index dda2656343..f8922d8d0e 100644 --- a/nnpdfcpp/src/nnfit/src/nnfit.cc +++ b/nnpdfcpp/src/nnfit/src/nnfit.cc @@ -307,6 +307,15 @@ int main(int argc, char **argv) auto exp = std::make_unique(datasets, settings.GetExpName(i)); vector theory(exp->GetNData()); + if (settings.IsThUncertainties()) + { + string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat.csv"; + string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat.csv"; + + exp->LoadRepCovMat(RepCovMatPath); + exp->LoadFitCovMat(FitCovMatPath); + } + Convolute(fitset.get(),exp.get(),theory.data()); NNPDF::ComputeChi2(exp.get(),1,theory.data(),&chi2); From 6afb8c785d0ed5d5654b954be84c5d0118b3280c Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 5 Dec 2018 18:37:02 +0000 Subject: [PATCH 075/429] adding ability to compute eigenvalue cutoff directly or by a certain number of eigenvalues --- validphys2/src/validphys/theorycovariance.py | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 2286e713b2..216669db28 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1213,13 +1213,18 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the return fig -def theory_shift_test(thx_covmat, shx_vector, thx_vector, evalue_cutoff:(float, type(None)) = None): +def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(None)) = None, + evalue_cutoff:(float, type(None)) = None): matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) # Finding eigenvalues and eigenvectors w, v = la.eigh(matrix) w_max = w[-1] - w_nonzero = w[w>evalue_cutoff*w_max] - nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] + if num_evals is not None: + w_nonzero = w[-num_evals:] + nonzero_locs = range(len(w)-num_evals, len(w)) + else: + w_nonzero = w[w>evalue_cutoff*w_max] + nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] # ^ taking 0th element to extract list from tuple v_nonzero = [] for loc in nonzero_locs: @@ -1251,7 +1256,7 @@ def modrat(theory_shift_test): fmod = np.sqrt(np.sum(f**2)) fmiss_mod = np.sqrt(np.sum(fmiss**2)) modrat = fmiss_mod/fmod -# print(f"modrat = {modrat}") + print(f"modrat = {modrat}") return modrat def maxrat(theory_shift_test): @@ -1266,7 +1271,7 @@ def validation_theory_chi2(theory_shift_test): evals = theory_shift_test[0] ratio = projectors/np.sqrt(evals) th_chi2 = 1/len(evals)*np.sum(ratio**2) -# print(f"Theory chi2 = {th_chi2}") + print(f"Theory chi2 = {th_chi2}") return th_chi2 @figure @@ -1283,7 +1288,7 @@ def projector_eigenvalue_ratio(theory_shift_test): ax1.set_ylabel(r"|$\delta_a$|") ax2.set_ylabel(r"|$s_a$|") ax3.set_ylabel(r"|$\delta_a$/$s_a$|") -# print(f"Subspace dimension = {len(evals)}") + print(f"Subspace dimension = {len(evals)}") return fig @figure From f82218b746572f475a5b1f3f37a81fda8e50a42a Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 5 Dec 2018 18:48:04 +0000 Subject: [PATCH 076/429] altering cutoff function to incorporate choice of number of eigenvalues as an option --- validphys2/src/validphys/theorycovariance.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 216669db28..31dae74869 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1237,10 +1237,16 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(N fmiss = f - np.sum(projected_evectors, axis=0) return w_nonzero, v_nonzero, projectors, f, fmiss, w_max -def cutoff(theory_shift_test, evalue_cutoff:(float, type(None)) = None): +def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, + evalue_cutoff:(float, type(None)) = None): w_max = theory_shift_test[5] - cutoff = evalue_cutoff*w_max -# print(f"cutoff = {cutoff}") + if num_evals is not None: + cutoff = f"{num_evals} largest eigenvalues were selected" + elif evalue_cutoff is not None: + cutoff = evalue_cutoff*w_max + else: + cutoff = "No cutoff was specified" + print(f"cutoff = {cutoff}") return cutoff @table From b965ae13a59237bb981073ea9596ea4bc74fd933 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 5 Dec 2018 19:09:03 +0000 Subject: [PATCH 077/429] accounting for the case where there are fewer eigenvalues than the specified num_evalues --- validphys2/src/validphys/theorycovariance.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 31dae74869..dfcfe2e0de 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1228,7 +1228,8 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(N # ^ taking 0th element to extract list from tuple v_nonzero = [] for loc in nonzero_locs: - v_nonzero.append(v[:,loc]) + if loc >=0: + v_nonzero.append(v[:,loc]) f = -shx_vector[0].values.T[0] projectors = np.sum(f*v_nonzero, axis=1) projected_evectors = np.zeros((len(projectors), (len(f)))) From 92ef66853fac88f4e46b8510a455b9975e23b5bb Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Fri, 7 Dec 2018 10:57:08 +0000 Subject: [PATCH 078/429] Use custom total covmat rather than old version --- validphys2/src/validphys/config.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 3ea0099ca8..a53bb4cbdf 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -32,7 +32,7 @@ from validphys.paramfits.config import ParamfitsConfig -from validphys.theorycovariance import experimentsplustheory_covmat +from validphys.theorycovariance import experimentsplustheory_covmat_custom log = logging.getLogger(__name__) @@ -664,12 +664,12 @@ def produce_all_lumi_channels(self): @configparser.explicit_node def produce_sampling_covmat(self): - sampling_covmat = experimentsplustheory_covmat + sampling_covmat = experimentsplustheory_covmat_custom return sampling_covmat @configparser.explicit_node def produce_fitting_covmat(self): - fitting_covmat = experimentsplustheory_covmat + fitting_covmat = experimentsplustheory_covmat_custom return fitting_covmat def produce_additionalerrors(self, dataset): From 8a2bf8de72b17c5d80e5f719ef5e3b1418e01ea4 Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Sat, 8 Dec 2018 11:48:33 +0100 Subject: [PATCH 079/429] fixing several parsing bugs when a mask is passed --- libnnpdf/src/NNPDF/experiments.h | 4 +- libnnpdf/src/experiments.cc | 122 ++++++++++--------------------- nnpdfcpp/src/nnfit/src/nnfit.cc | 16 ++-- 3 files changed, 50 insertions(+), 92 deletions(-) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index df8ed9a7bc..1fe5b1faf8 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -56,8 +56,8 @@ namespace NNPDF void SetT0(const PDFSet&); //! bmask = std::vector(0)); //!< Read in covmat for rep gen, generate covmat and sqrt - void LoadFitCovMat(std::string filename, std::vector bmask = std::vector(0)); //!< Read in covmat for fitting, generate covmat and sqrt + void LoadRepCovMat(std::string filename, std::vector bmask = {}); //!< Read in covmat for rep gen, generate covmat and sqrt + void LoadFitCovMat(std::string filename, std::vector bmask = {}); //!< Read in covmat for fitting, generate covmat and sqrt private: diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index f3dd3abaf6..d2a9fecae7 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -448,119 +448,77 @@ void Experiment::GenCovMat() /* * Reads in covariance matrix for an experiment from pandas dataframe */ -matrix read_total_covmat(const std::string filename, std::vector bmask = std::vector(0)) +matrix read_total_covmat(int ndata, const std::string filename, std::vector bmask = {}) { - const int first_lines_to_skip = 4; //experiment, dataset, id, header - const int first_columns_to_skip = 3; //experiment, dataset, id - + // open file ifstream file(filename.c_str()); if (!file.good()) throw FileError("experiments", "Cannot read covariance matrix file from " + filename); string line; + const int first_lines_to_skip = 4; //experiment, dataset, id, header + const int first_columns_to_skip = 3; //experiment, dataset, id - //====Initialise CovMat (get lines and columns from txt file) - int lines = 0, columns = 0; - bool ONCE = true; - // Skip the first lines - for (int i = 0; i < first_lines_to_skip; ++i) - std::getline(file, line); - while (std::getline(file, line)) - { - std::stringstream ss(line); - string entry; - - if (ONCE) + int file_matrix_size = ndata; + if (!bmask.empty()) { - // Skip the first columns - for (int i = 0; i < first_columns_to_skip; ++i) - ss >> entry; - - while (ss >> entry) - { - if (!bmask.empty() && !bmask.at(columns)) - continue; - columns++; - } + if(std::accumulate(bmask.begin(), bmask.end(), 0) != ndata) + throw RuntimeException("read_total_covmat", "wrong mask size."); + file_matrix_size = bmask.size(); } - ONCE = false; - - if (!bmask.empty() && !bmask.at(lines)) - continue; - - lines++; - } - - //! CHECKPOINT0: Check if the lines and columns of covmat matches. - if (lines != columns) - throw EvaluationError("experiments", "Lines and Columns of covmat doesn't match."); - matrix covmat(lines, lines); - - //====READ CovMat into matrix object - // Skip the first lines - file.close(); - file.clear(); - file.open(filename.c_str()); + matrix covmat(ndata, ndata); for (int i = 0; i < first_lines_to_skip; ++i) std::getline(file, line); - int l = 0; - while (std::getline(file, line)) //Read a line - { - int c = 0; - double entry; - //! Extra check, in case the format changes - //! CHECKPOINT1: Read the last character of the line, if it's alphabetical, throw an error. - if (isalpha(line[line.size() - 1])) - throw EvaluationError("experiments", "The format of covmat has probably changed."); - - if (!bmask.empty() && !bmask.at(l)) - continue; - - std::stringstream ss(line); - - // Skip the first columns - for (int i = 0; i < first_columns_to_skip; ++i) + int ix = 0; + for (int idat = 0; idat < file_matrix_size; idat++) { - string entry; - ss >> entry; + getline(file, line); + if (bmask.empty()) + { + auto row = split(line); + for (int jdat = 0; jdat < file_matrix_size; jdat++) + covmat(idat, jdat) = stod(row[first_columns_to_skip + jdat]); + } + else + { + if (bmask[idat] == 1) + { + int jx = 0; + auto row = split(line); + for (int jdat = 0; jdat < file_matrix_size; jdat++) + { + if (bmask[jdat] == 1) + { + covmat(ix, jx) = stod(row[first_columns_to_skip + jdat]); + jx++; + } + } + ix++; + } + } } - while (ss >> entry || !ss.eof()) - { - //! CHECKPOINT2: Throw an error if reading of a line element fails - if (ss.fail()) - throw EvaluationError("experiments", "Error while reading lines of the covmat."); - - if (!bmask.empty() && !bmask.at(c)) - continue; - - covmat(l, c) = entry; - c++; - } //columns loop - l++; - } //line loop - return covmat; } /** * Read in covariance matrix for replica generation from file, and generate covariance matrix and its square root */ -void Experiment::LoadRepCovMat(string filename, std::vector bmask) +void Experiment::LoadRepCovMat(string filename, std::vector bmask) { - fSamplingMatrix = ComputeSqrtMat(read_total_covmat(filename, bmask)); + fSamplingMatrix = ComputeSqrtMat(read_total_covmat(fNData, filename, bmask)); } /** * Read in covariance matrix to be used in fit from file, and generate covariance matrix and its square root */ -void Experiment::LoadFitCovMat(string filename, std::vector bmask) +void Experiment::LoadFitCovMat(string filename, std::vector bmask) { - fCovMat = read_total_covmat(filename, bmask); + fCovMat = read_total_covmat(fNData, filename, bmask); fSqrtCov = ComputeSqrtMat(fCovMat); } diff --git a/nnpdfcpp/src/nnfit/src/nnfit.cc b/nnpdfcpp/src/nnfit/src/nnfit.cc index f8922d8d0e..b8ec3a3957 100644 --- a/nnpdfcpp/src/nnfit/src/nnfit.cc +++ b/nnpdfcpp/src/nnfit/src/nnfit.cc @@ -309,8 +309,8 @@ int main(int argc, char **argv) if (settings.IsThUncertainties()) { - string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat.csv"; - string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat.csv"; + string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat_custom.csv"; + string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat_custom.csv"; exp->LoadRepCovMat(RepCovMatPath); exp->LoadFitCovMat(FitCovMatPath); @@ -388,8 +388,8 @@ void LoadAllDataAndSplit(NNPDFSettings const& settings, // read covmat from file if specified in the runcard if (settings.IsThUncertainties()) { - string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat.csv"; - string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat.csv"; + string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat_custom.csv"; + string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat_custom.csv"; exp->LoadRepCovMat(RepCovMatPath); exp->LoadFitCovMat(FitCovMatPath); @@ -495,8 +495,8 @@ void TrainValidSplit(NNPDFSettings const& settings, vector trainingSets; vector validationSets; - vector trCovMatMask(0); - vector valCovMatMask(0); + vector trCovMatMask(0); + vector valCovMatMask(0); int AccumulatedData = 0; int expValSize = 0; // size of validation experiment @@ -559,8 +559,8 @@ void TrainValidSplit(NNPDFSettings const& settings, // read covmat from file if specified in the runcard if (settings.IsThUncertainties()) { - string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat.csv"; - string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat.csv"; + string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat_custom.csv"; + string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat_custom.csv"; tr->LoadRepCovMat(RepCovMatPath, trCovMatMask); tr->LoadFitCovMat(FitCovMatPath, trCovMatMask); From d92d765642eb160a8dcd306515c6f8c097815044 Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Sat, 8 Dec 2018 11:48:43 +0100 Subject: [PATCH 080/429] enabling chi2check with thcovmat --- nnpdfcpp/src/chi2check/src/chi2check.cc | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/nnpdfcpp/src/chi2check/src/chi2check.cc b/nnpdfcpp/src/chi2check/src/chi2check.cc index 6436719180..d684c78052 100644 --- a/nnpdfcpp/src/chi2check/src/chi2check.cc +++ b/nnpdfcpp/src/chi2check/src/chi2check.cc @@ -90,7 +90,17 @@ int main(int argc, char **argv) if (settings.GetPlotting("uset0").as()) MakeT0Predictions(T0Set,datasets[j]); } - exps.push_back(new Experiment(datasets, settings.GetExpName(i))); + auto exp = new Experiment(datasets, settings.GetExpName(i)); + if (settings.IsThUncertainties()) + { + string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat_custom.csv"; + string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat_custom.csv"; + + exp->LoadRepCovMat(RepCovMatPath); + exp->LoadFitCovMat(FitCovMatPath); + } + + exps.push_back(exp); } if (T0Set) delete T0Set; From ed401b0bcb3375a0c720a8f1b812eb11d5b48a2f Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 10 Dec 2018 10:08:30 +0000 Subject: [PATCH 081/429] Remove embed --- validphys2/src/validphys/config.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index a53bb4cbdf..9900681fdf 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -11,7 +11,6 @@ import numbers import copy -from IPython import embed from os import listdir from re import match @@ -686,7 +685,6 @@ def produce_additionalerrors(self, dataset): else: systematics.append(info[1:]) infile.close() - embed() return 0 def parse_speclabel(self, label:(str, type(None))): From 0dad59f40ff520e33a500630983654046faacae6 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 11 Dec 2018 12:22:20 +0000 Subject: [PATCH 082/429] changing production rules for sampling and fitting covmats to return theory covmat only --- validphys2/src/validphys/config.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 9900681fdf..3870b030ea 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -663,12 +663,12 @@ def produce_all_lumi_channels(self): @configparser.explicit_node def produce_sampling_covmat(self): - sampling_covmat = experimentsplustheory_covmat_custom + sampling_covmat = theory_covmat_custom return sampling_covmat @configparser.explicit_node def produce_fitting_covmat(self): - fitting_covmat = experimentsplustheory_covmat_custom + fitting_covmat = theory_covmat_custom return fitting_covmat def produce_additionalerrors(self, dataset): From a3d3f6cf7ded561f093e578ce14ece632100ecac Mon Sep 17 00:00:00 2001 From: tgiani Date: Wed, 12 Dec 2018 11:10:34 +0000 Subject: [PATCH 083/429] changing makereplica --- libnnpdf/src/experiments.cc | 42 +++++++++++++++++++------------------ 1 file changed, 22 insertions(+), 20 deletions(-) diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index d2a9fecae7..dc30495c35 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -155,13 +155,7 @@ void Experiment::MakeReplica() double *rand = new double[fNSys]; double *xnor = new double[fNData]; sysType rST[2] = {ADD,MULT}; - - // Compute the sampling covariance matrix with data CVs, no multiplicative error and no theory errors - if (fSamplingMatrix.size(0) == 0) - { - matrix SM = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fData, fStat, fSys, false, false); - fSamplingMatrix = ComputeSqrtMat(SM); // Take the sqrt of the sampling matrix - } + // generate procType array for ease of checking std::vector proctype; @@ -183,20 +177,28 @@ void Experiment::MakeReplica() fSys[i][l].type = fSys[0][l].type; } - // Generate normal deviates - vector deviates(fNData, std::numeric_limits::quiet_NaN()); - generate(deviates.begin(), deviates.end(), - []()->double {return RandomGenerator::GetRNG()->GetRandomGausDev(1); } ); - const vector correlated_deviates = fSamplingMatrix*deviates; - - // Additive noise is generated directly from the covariance matrix vector artdata(fData); - for (int i=0; i deviates(fNData, std::numeric_limits::quiet_NaN()); + generate(deviates.begin(), deviates.end(), + []()->double {return RandomGenerator::GetRNG()->GetRandomGausDev(1); } ); + const vector correlated_deviates = fSamplingMatrix*deviates; + + // Generate additive theory noise directly from the covariance matrix + for (int i=0; iGetRandomGausDev(1.0)*fStat[i]; //Noise from statistical uncertainty + + double xadd = 0; xnor[i] = 1.0; for (int l = 0; l < fNSys; l++) @@ -208,7 +210,7 @@ void Experiment::MakeReplica() { switch (fSys[i][l].type) { - case ADD: break; + case ADD: xadd += rng->GetRandomGausDev(1.0)*fSys[i][l].add; break; case MULT: xnor[i] *= (1.0 + rng->GetRandomGausDev(1.0)*fSys[i][l].mult*1e-2); break; case UNSET: throw RuntimeException("Experiment::MakeReplica", "UNSET systype encountered"); } @@ -217,14 +219,14 @@ void Experiment::MakeReplica() { switch (fSys[i][l].type) { - case ADD: break; + case ADD: xadd += rand[l]*fSys[i][l].add; break; case MULT: xnor[i] *= (1.0 + rand[l]*fSys[i][l].mult*1e-2); break; case UNSET: throw RuntimeException("Experiment::MakeReplica", "UNSET systype encountered"); } } } - artdata[i] = xnor[i] * artdata[i]; + artdata[i] = xnor[i] * ( artdata[i] + xadd + xstat ); } From 38e56b13721b4586de8caf80bfdccb7f792d76b9 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 12 Dec 2018 12:50:04 +0000 Subject: [PATCH 084/429] Import theory_covmat_custom rather than experimentsplustheory_covmat_custom --- validphys2/src/validphys/config.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 3870b030ea..4c92c637ad 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -31,7 +31,7 @@ from validphys.paramfits.config import ParamfitsConfig -from validphys.theorycovariance import experimentsplustheory_covmat_custom +from validphys.theorycovariance import theory_covmat_custom log = logging.getLogger(__name__) From 747cd96d0ddf09217987ea177402ea1bc52ccba2 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 12 Dec 2018 12:55:19 +0000 Subject: [PATCH 085/429] Add table decorator to theory_covmat_custom --- validphys2/src/validphys/theorycovariance.py | 1 + 1 file changed, 1 insertion(+) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 222b3072c6..cf6cac22df 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -342,6 +342,7 @@ def covs_pt_prescrip(combine_by_type, process_starting_points, theoryids, covmats[start_locs] = s return covmats +@table def theory_covmat_custom(covs_pt_prescrip, covmap, experiments_index): """Takes the individual sub-covmats between each two processes and assembles them into a full covmat. Then reshuffles the order from ordering by process From cb46f8af808d28a8172292b559d6d50c02df62b2 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 12 Dec 2018 12:59:42 +0000 Subject: [PATCH 086/429] Change hardcoded file names to reflect change in vp action used to compute covmat --- nnpdfcpp/src/chi2check/src/chi2check.cc | 4 ++-- nnpdfcpp/src/nnfit/src/nnfit.cc | 12 ++++++------ 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/nnpdfcpp/src/chi2check/src/chi2check.cc b/nnpdfcpp/src/chi2check/src/chi2check.cc index d684c78052..30d715dde3 100644 --- a/nnpdfcpp/src/chi2check/src/chi2check.cc +++ b/nnpdfcpp/src/chi2check/src/chi2check.cc @@ -93,8 +93,8 @@ int main(int argc, char **argv) auto exp = new Experiment(datasets, settings.GetExpName(i)); if (settings.IsThUncertainties()) { - string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat_custom.csv"; - string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat_custom.csv"; + string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_theory_covmat_custom.csv"; + string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv"; exp->LoadRepCovMat(RepCovMatPath); exp->LoadFitCovMat(FitCovMatPath); diff --git a/nnpdfcpp/src/nnfit/src/nnfit.cc b/nnpdfcpp/src/nnfit/src/nnfit.cc index b8ec3a3957..eddbe92496 100644 --- a/nnpdfcpp/src/nnfit/src/nnfit.cc +++ b/nnpdfcpp/src/nnfit/src/nnfit.cc @@ -309,8 +309,8 @@ int main(int argc, char **argv) if (settings.IsThUncertainties()) { - string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat_custom.csv"; - string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat_custom.csv"; + string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_theory_covmat_custom.csv"; + string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv"; exp->LoadRepCovMat(RepCovMatPath); exp->LoadFitCovMat(FitCovMatPath); @@ -388,8 +388,8 @@ void LoadAllDataAndSplit(NNPDFSettings const& settings, // read covmat from file if specified in the runcard if (settings.IsThUncertainties()) { - string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat_custom.csv"; - string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat_custom.csv"; + string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_theory_covmat_custom.csv"; + string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv"; exp->LoadRepCovMat(RepCovMatPath); exp->LoadFitCovMat(FitCovMatPath); @@ -559,8 +559,8 @@ void TrainValidSplit(NNPDFSettings const& settings, // read covmat from file if specified in the runcard if (settings.IsThUncertainties()) { - string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_experimentsplustheory_covmat_custom.csv"; - string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_experimentsplustheory_covmat_custom.csv"; + string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_theory_covmat_custom.csv"; + string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv"; tr->LoadRepCovMat(RepCovMatPath, trCovMatMask); tr->LoadFitCovMat(FitCovMatPath, trCovMatMask); From fded43d3b0ce4d38040ef116ea1a62fad449fda5 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 12 Dec 2018 15:24:55 +0000 Subject: [PATCH 087/429] Replace experiments_covmat with experiments_covmat_no_table in regression tests --- validphys2/src/validphys/tests/test_regressions.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/tests/test_regressions.py b/validphys2/src/validphys/tests/test_regressions.py index ed1c310be3..28b137f667 100644 --- a/validphys2/src/validphys/tests/test_regressions.py +++ b/validphys2/src/validphys/tests/test_regressions.py @@ -54,7 +54,7 @@ def f_(*args, **kwargs): def test_expcovmat(data): pdf, exps = data eindex = results.experiments_index(exps) - mat = results.experiments_covmat(exps, eindex, t0set=None) + mat = results.experiments_covmat_no_table(exps, eindex, t0set=None) cd1 = exps[0].datasets[0].commondata.load() cd2 = exps[1].datasets[0].commondata.load() othermat1 = NNPDF.ComputeCovMat(cd1, cd1.get_cv()) @@ -67,7 +67,7 @@ def test_expcovmat(data): def test_t0covmat(data): pdf, exps = data eindex = results.experiments_index(exps) - return results.experiments_covmat(exps, eindex, pdf) + return results.experiments_covmat_no_table(exps, eindex, pdf) @make_table_comp(parse_exp_mat) def test_expsqrtcovmat(data): From 5048e52dedabc172b7cb9d68b550fd67170def9c Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 12 Dec 2018 17:28:48 +0000 Subject: [PATCH 088/429] Undo changes to testconfig --- nnpdfcpp/config/testconfig.yml | 23 +---------------------- 1 file changed, 1 insertion(+), 22 deletions(-) diff --git a/nnpdfcpp/config/testconfig.yml b/nnpdfcpp/config/testconfig.yml index 06285c0915..1ed9538cd8 100644 --- a/nnpdfcpp/config/testconfig.yml +++ b/nnpdfcpp/config/testconfig.yml @@ -15,12 +15,6 @@ experiments: datasets: - { dataset: NMCPD, frac: 0.5 } - { dataset: NMC, frac: 0.5, weight: 10000} - # ATLAS top - - experiment: CMS - datasets: -# CMS jets - - { dataset: CMSJETS11, frac: 0.5, sys: 10 } - - { dataset: CMS1JET276TEV, frac: 0.5, sys: 10 } ############################################################ datacuts: @@ -39,22 +33,7 @@ datacuts: ############################################################ theory: - theoryid: 163 # database id - -theorycovmatconfig: - theoryids: - - 163 - - 180 - - 173 - fivetheories: None - pdf: NNPDF31_nnlo_as_0118 - use_cuts: internal - -sampling_t0: - use_t0: false - -fitting_t0: - use_t0: true + theoryid: 162 # database id ############################################################ fitting: From ec4db5a4fd60d08ef4d0384e7118e004ce04336c Mon Sep 17 00:00:00 2001 From: tgiani Date: Wed, 12 Dec 2018 19:12:24 +0000 Subject: [PATCH 089/429] adding tentative SVD implementation --- libnnpdf/src/NNPDF/chisquared.h | 1 + libnnpdf/src/chisquared.cc | 41 +++++++++++++++++++++++++++++++++ 2 files changed, 42 insertions(+) diff --git a/libnnpdf/src/NNPDF/chisquared.h b/libnnpdf/src/NNPDF/chisquared.h index 6368623428..b05378f8fb 100644 --- a/libnnpdf/src/NNPDF/chisquared.h +++ b/libnnpdf/src/NNPDF/chisquared.h @@ -23,6 +23,7 @@ namespace NNPDF{ matrix ComputeCovMat(CommonData const& cd, std::vector const& t0, double weight=1.); matrix ComputeSqrtMat(matrix const& inmatrix); + matrix ComputeSqrtMatSVD(matrix const& inmatrix); void ComputeChi2_basic(int const nDat, int const nMem, const double* data, matrix const& L, diff --git a/libnnpdf/src/chisquared.cc b/libnnpdf/src/chisquared.cc index 5597a429d9..17c8e5fb62 100644 --- a/libnnpdf/src/chisquared.cc +++ b/libnnpdf/src/chisquared.cc @@ -5,6 +5,7 @@ // Authors: Nathan Hartland, n.p.hartland@ed.ac.uk // Stefano Carrazza, stefano.carrazza@mi.infn.it +#include #include "NNPDF/exceptions.h" #include "NNPDF/chisquared.h" #include "gsl/gsl_matrix.h" @@ -114,6 +115,46 @@ namespace NNPDF return sqrtmat; } + + matrix ComputeSqrtMatSVD(matrix const& inmatrix) + { + const size_t n = inmatrix.size(0); + if (n <= 0) + throw LengthError("SVD","attempting a decomposition of an empty matrix!"); + + gsl_matrix_const_view inmatrix_view = gsl_matrix_const_view_array(inmatrix.data(), n, n); + const gsl_matrix *inmatrix_gsl = &(inmatrix_view.matrix); + + // Copy the input matrix + matrix A(n,n); + gsl_matrix_view A_view = gsl_matrix_view_array(A.data(), n, n); + gsl_matrix *A_gsl = &(A_view.matrix); + + const int copy = gsl_matrix_memcpy (A_gsl, inmatrix_gsl); + if (copy != 0 ) throw RuntimeException("SVD", "Error encountered in gsl matrix copy"); + + // Define the objects required by the SVD function + gsl_matrix *V = gsl_matrix_calloc (n, n); + gsl_vector *S = gsl_vector_calloc (n); + gsl_vector *w = gsl_vector_calloc (n); + + const int decomp = gsl_linalg_SV_decomp(A_gsl, V, S, w); + if (decomp != 0 ) throw RuntimeException("SVD", "Error encountered in gsl decomposition"); + + for ( int i = 0; i < n; i++ ) + for ( int j = 0; j < n; j++ ) + A(i,j) = gsl_matrix_get(A_gsl, i,j)*sqrt( gsl_vector_get(S,j) ); + + gsl_matrix_free(V); + gsl_vector_free(S); + gsl_vector_free(w); + + return A; + + } + + + // TODO to sort this out, need to make data and theory vectors void ComputeChi2_basic(int const nDat, int const nMem, const double* data, matrix const& L, From 344b619bc1c58757c05fdf9c50837b0e961d71ef Mon Sep 17 00:00:00 2001 From: tgiani Date: Tue, 18 Dec 2018 10:37:18 +0000 Subject: [PATCH 090/429] reading and adding the th cov matrix at the level of basic cov mat --- libnnpdf/src/NNPDF/chisquared.h | 12 +++- libnnpdf/src/chisquared.cc | 105 ++++++++++++++++++++++++++++-- libnnpdf/src/experiments.cc | 109 ++++++++------------------------ 3 files changed, 136 insertions(+), 90 deletions(-) diff --git a/libnnpdf/src/NNPDF/chisquared.h b/libnnpdf/src/NNPDF/chisquared.h index b05378f8fb..2593031987 100644 --- a/libnnpdf/src/NNPDF/chisquared.h +++ b/libnnpdf/src/NNPDF/chisquared.h @@ -19,11 +19,19 @@ namespace NNPDF{ std::vector const& stat_error, sysError** const systematic_errors, bool const mult_errors, - bool const use_theory_errors); + bool const use_theory_errors, + bool const th_cov_matrix, + std::string filename, + std::vector bmask); - matrix ComputeCovMat(CommonData const& cd, std::vector const& t0, double weight=1.); + matrix ComputeCovMat(CommonData const& cd, std::vector const& t0, + const bool th_cov_matrix = false, + std::string filename = "", + std::vector bmask = {}, + double weight=1.); matrix ComputeSqrtMat(matrix const& inmatrix); matrix ComputeSqrtMatSVD(matrix const& inmatrix); + matrix read_total_covmat(int ndata, const std::string filename, std::vector bmask); void ComputeChi2_basic(int const nDat, int const nMem, const double* data, matrix const& L, diff --git a/libnnpdf/src/chisquared.cc b/libnnpdf/src/chisquared.cc index 17c8e5fb62..13dd1a02dc 100644 --- a/libnnpdf/src/chisquared.cc +++ b/libnnpdf/src/chisquared.cc @@ -5,12 +5,32 @@ // Authors: Nathan Hartland, n.p.hartland@ed.ac.uk // Stefano Carrazza, stefano.carrazza@mi.infn.it +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include #include -#include "NNPDF/exceptions.h" + +#include "NNPDF/experiments.h" #include "NNPDF/chisquared.h" +#include "NNPDF/pdfset.h" +#include "NNPDF/dataset.h" +#include "NNPDF/thpredictions.h" +#include "NNPDF/utils.h" +#include "NNPDF/randomgenerator.h" +#include "NNPDF/exceptions.h" + + #include "gsl/gsl_matrix.h" #include "gsl/gsl_linalg.h" +using namespace std; namespace NNPDF { @@ -24,12 +44,21 @@ namespace NNPDF std::vector const& stat_error, sysError** const systematic_errors, bool const mult_errors, - bool const use_theory_errors) + bool const use_theory_errors, + bool const th_cov_matrix, + std::string filename, + std::vector bmask) { if (central_values.size() != stat_error.size()) throw LengthError("ComputeCovMat_basic","mismatch in points between central_values and stat_error!"); auto CovMat = NNPDF::matrix(ndat, ndat); + auto ThCovMat = NNPDF::matrix(ndat, ndat); + + if(th_cov_matrix) + ThCovMat = read_total_covmat(ndat, filename, bmask); + + for (int i = 0; i < ndat; i++) { for (int j = 0; j < ndat; j++) @@ -64,6 +93,8 @@ namespace NNPDF // Covariance matrix entry CovMat(i, j) = (sig + signor*central_values[i]*central_values[j]*1e-4); + if(th_cov_matrix) CovMat(i, j) += ThCovMat(i, j); + // Covariance matrix weight CovMat(i, j) /= sqrt_weights[i]*sqrt_weights[j]; } @@ -77,7 +108,11 @@ namespace NNPDF * This should be deprecated in favour of a version of `Experiment` that does not contain an FK table. * CommonData should be considered only as an I/O class with all logic belonging to `Experiment`. */ - matrix ComputeCovMat(CommonData const& cd, std::vector const& t0, double weight) + matrix ComputeCovMat(CommonData const& cd, std::vector const& t0, + const bool th_cov_matrix, + std::string filename, + std::vector bmask, + double weight) { const int ndat = cd.GetNData(); const int nsys = cd.GetNSys(); @@ -86,7 +121,7 @@ namespace NNPDF std::vector stat_error(ndat, 0); for (int i=0; i ComputeSqrtMat(matrix const& inmatrix) @@ -187,4 +222,66 @@ namespace NNPDF template void ComputeChi2(const Experiment* set, int const& nMem, real *const& theory, real *chi2); template void ComputeChi2(const DataSet* set, int const& nMem, real *const& theory, real *chi2); + + +/* +* Reads in covariance matrix for an experiment from pandas dataframe +*/ + matrix read_total_covmat(int ndata, const std::string filename, std::vector bmask = {}) + { + // open file + ifstream file(filename.c_str()); + + if (!file.good()) + throw FileError("experiments", "Cannot read covariance matrix file from " + filename); + + string line; + const int first_lines_to_skip = 4; //experiment, dataset, id, header + const int first_columns_to_skip = 3; //experiment, dataset, id + + int file_matrix_size = ndata; + if (!bmask.empty()) + { + if(std::accumulate(bmask.begin(), bmask.end(), 0) != ndata) + throw RuntimeException("read_total_covmat", "wrong mask size."); + file_matrix_size = bmask.size(); + } + + matrix covmat(ndata, ndata); + + for (int i = 0; i < first_lines_to_skip; ++i) + std::getline(file, line); + + int ix = 0; + for (int idat = 0; idat < file_matrix_size; idat++) + { + getline(file, line); + if (bmask.empty()) + { + auto row = split(line); + for (int jdat = 0; jdat < file_matrix_size; jdat++) + covmat(idat, jdat) = stod(row[first_columns_to_skip + jdat]); + } + else + { + if (bmask[idat] == 1) + { + int jx = 0; + auto row = split(line); + for (int jdat = 0; jdat < file_matrix_size; jdat++) + { + if (bmask[jdat] == 1) + { + covmat(ix, jx) = stod(row[first_columns_to_skip + jdat]); + jx++; + } + } + ix++; + } + } + } + + return covmat; + } + } diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index dc30495c35..5e0d08ef9b 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -155,8 +155,14 @@ void Experiment::MakeReplica() double *rand = new double[fNSys]; double *xnor = new double[fNData]; sysType rST[2] = {ADD,MULT}; - + // Compute the sampling covariance matrix with data CVs, no multiplicative error and no theory errors + if (fSamplingMatrix.size(0) == 0) + { + matrix SM = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fData, fStat, fSys, false, false, false, "", {}); + fSamplingMatrix = ComputeSqrtMat(SM); // Take the sqrt of the sampling matrix + } + // generate procType array for ease of checking std::vector proctype; for (int s = 0; s < GetNSet(); s++) @@ -177,28 +183,20 @@ void Experiment::MakeReplica() fSys[i][l].type = fSys[0][l].type; } - vector artdata(fData); - - // If there is a theory covarince matrix generate normal deviates - if (fSamplingMatrix.size(0) != 0) - { - vector deviates(fNData, std::numeric_limits::quiet_NaN()); - generate(deviates.begin(), deviates.end(), - []()->double {return RandomGenerator::GetRNG()->GetRandomGausDev(1); } ); - const vector correlated_deviates = fSamplingMatrix*deviates; + // Generate normal deviates + vector deviates(fNData, std::numeric_limits::quiet_NaN()); + generate(deviates.begin(), deviates.end(), + []()->double {return RandomGenerator::GetRNG()->GetRandomGausDev(1); } ); + const vector correlated_deviates = fSamplingMatrix*deviates; - // Generate additive theory noise directly from the covariance matrix - for (int i=0; i artdata(fData); + for (int i=0; iGetRandomGausDev(1.0)*fStat[i]; //Noise from statistical uncertainty - - double xadd = 0; xnor[i] = 1.0; for (int l = 0; l < fNSys; l++) @@ -210,7 +208,7 @@ void Experiment::MakeReplica() { switch (fSys[i][l].type) { - case ADD: xadd += rng->GetRandomGausDev(1.0)*fSys[i][l].add; break; + case ADD: break; case MULT: xnor[i] *= (1.0 + rng->GetRandomGausDev(1.0)*fSys[i][l].mult*1e-2); break; case UNSET: throw RuntimeException("Experiment::MakeReplica", "UNSET systype encountered"); } @@ -219,14 +217,14 @@ void Experiment::MakeReplica() { switch (fSys[i][l].type) { - case ADD: xadd += rand[l]*fSys[i][l].add; break; + case ADD: break; case MULT: xnor[i] *= (1.0 + rand[l]*fSys[i][l].mult*1e-2); break; case UNSET: throw RuntimeException("Experiment::MakeReplica", "UNSET systype encountered"); } } } - artdata[i] = xnor[i] * ( artdata[i] + xadd + xstat ); + artdata[i] = xnor[i] * artdata[i]; } @@ -440,79 +438,22 @@ void Experiment::PullData() /** * Generate covariance matrix and inverse */ + void Experiment::GenCovMat() { // Compute the Covariance matrix with t0 and NNPDF3.1 theory errors - fCovMat = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, true, true); + fCovMat = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, true, true, false, " ", {}); fSqrtCov = ComputeSqrtMat(fCovMat); } -/* -* Reads in covariance matrix for an experiment from pandas dataframe -*/ -matrix read_total_covmat(int ndata, const std::string filename, std::vector bmask = {}) -{ - // open file - ifstream file(filename.c_str()); - - if (!file.good()) - throw FileError("experiments", "Cannot read covariance matrix file from " + filename); - - string line; - const int first_lines_to_skip = 4; //experiment, dataset, id, header - const int first_columns_to_skip = 3; //experiment, dataset, id - - int file_matrix_size = ndata; - if (!bmask.empty()) - { - if(std::accumulate(bmask.begin(), bmask.end(), 0) != ndata) - throw RuntimeException("read_total_covmat", "wrong mask size."); - file_matrix_size = bmask.size(); - } - - matrix covmat(ndata, ndata); - - for (int i = 0; i < first_lines_to_skip; ++i) - std::getline(file, line); - - int ix = 0; - for (int idat = 0; idat < file_matrix_size; idat++) - { - getline(file, line); - if (bmask.empty()) - { - auto row = split(line); - for (int jdat = 0; jdat < file_matrix_size; jdat++) - covmat(idat, jdat) = stod(row[first_columns_to_skip + jdat]); - } - else - { - if (bmask[idat] == 1) - { - int jx = 0; - auto row = split(line); - for (int jdat = 0; jdat < file_matrix_size; jdat++) - { - if (bmask[jdat] == 1) - { - covmat(ix, jx) = stod(row[first_columns_to_skip + jdat]); - jx++; - } - } - ix++; - } - } - } - - return covmat; -} /** * Read in covariance matrix for replica generation from file, and generate covariance matrix and its square root */ void Experiment::LoadRepCovMat(string filename, std::vector bmask) { - fSamplingMatrix = ComputeSqrtMat(read_total_covmat(fNData, filename, bmask)); + fSamplingMatrix = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, false, false, true, filename, bmask); + fSamplingMatrix = ComputeSqrtMat(fSamplingMatrix); } /** @@ -520,7 +461,7 @@ void Experiment::LoadRepCovMat(string filename, std::vector bmask) */ void Experiment::LoadFitCovMat(string filename, std::vector bmask) { - fCovMat = read_total_covmat(fNData, filename, bmask); + fCovMat = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, true, false, true, filename, bmask); fSqrtCov = ComputeSqrtMat(fCovMat); } From 014f5c0d2073cf30e9ce58eabb817758a3c2f5bc Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Sat, 29 Dec 2018 14:24:04 +0000 Subject: [PATCH 091/429] debugging eigenvalue cutoff prescription, reordering table and randomising eigenvalue order in plot --- validphys2/src/validphys/theorycovariance.py | 25 ++++++++++++++++---- 1 file changed, 21 insertions(+), 4 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index dfcfe2e0de..6ee17a58d9 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1222,9 +1222,20 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(N if num_evals is not None: w_nonzero = w[-num_evals:] nonzero_locs = range(len(w)-num_evals, len(w)) - else: + elif evalue_cutoff is not None: w_nonzero = w[w>evalue_cutoff*w_max] nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] + else: + # embed() + f_tmp = -shx_vector[0].values.T[0] + projectors_original = np.sum(f_tmp*v.T, axis=1) + ratio = np.abs(projectors_original/np.sqrt(np.abs(w))) + ratio_nonzero = ratio[ratio<3] + nonzero_locs = np.nonzero(ratio<3)[0] + w_nonzero = [] + for loc in nonzero_locs: + if loc >=0: + w_nonzero.append(w[loc]) # ^ taking 0th element to extract list from tuple v_nonzero = [] for loc in nonzero_locs: @@ -1253,7 +1264,7 @@ def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, @table def theory_covmat_eigenvalues(theory_shift_test): w_nonzero, v_nonzero, projectors = theory_shift_test[:3] - table = pd.DataFrame([w_nonzero, projectors], + table = pd.DataFrame([np.ndarray.tolist(w_nonzero)[::-1], np.ndarray.tolist(projectors)][::-1], index = ['eigenvalue', 'projector']) return table @@ -1276,7 +1287,7 @@ def maxrat(theory_shift_test): def validation_theory_chi2(theory_shift_test): projectors = theory_shift_test[2] evals = theory_shift_test[0] - ratio = projectors/np.sqrt(evals) + ratio = projectors/np.sqrt(np.abs(evals)) th_chi2 = 1/len(evals)*np.sum(ratio**2) print(f"Theory chi2 = {th_chi2}") return th_chi2 @@ -1285,7 +1296,13 @@ def validation_theory_chi2(theory_shift_test): def projector_eigenvalue_ratio(theory_shift_test): projectors = theory_shift_test[2] evals = theory_shift_test[0] - ratio = np.abs(projectors/np.sqrt(evals)) + ratio = np.abs(projectors/np.sqrt(np.abs(evals))) + # Ordering eigenvalues and their projectors at random + randomise = np.arange(len(evals)) + np.random.shuffle(randomise) + evals = np.asarray(evals)[randomise] + projectors = projectors[randomise] + ratio = ratio[randomise] fig, (ax1, ax2, ax3) = plt.subplots(3, figsize=(5,5)) ax1.plot(np.abs(projectors), 'o') ax2.plot(np.sqrt(evals), 'o') From 483fd43d7ff145260f63724398218b904294f884 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 1 Jan 2019 10:16:49 +0000 Subject: [PATCH 092/429] displaying sqrt(EVALUE) in table --- validphys2/src/validphys/theorycovariance.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 6ee17a58d9..fc84d0f7db 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1226,7 +1226,6 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(N w_nonzero = w[w>evalue_cutoff*w_max] nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] else: - # embed() f_tmp = -shx_vector[0].values.T[0] projectors_original = np.sum(f_tmp*v.T, axis=1) ratio = np.abs(projectors_original/np.sqrt(np.abs(w))) @@ -1264,8 +1263,8 @@ def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, @table def theory_covmat_eigenvalues(theory_shift_test): w_nonzero, v_nonzero, projectors = theory_shift_test[:3] - table = pd.DataFrame([np.ndarray.tolist(w_nonzero)[::-1], np.ndarray.tolist(projectors)][::-1], - index = ['eigenvalue', 'projector']) + table = pd.DataFrame([np.sqrt(np.abs(w_nonzero[::-1])), np.ndarray.tolist(projectors[::-1])], + index = [r'$s_a$', r'$\delta_a$']) return table def modrat(theory_shift_test): From a556e36a490feea105cd30b650e616dc6640f5e5 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 1 Jan 2019 15:25:57 +0000 Subject: [PATCH 093/429] adding extra row of delta/s in table --- validphys2/src/validphys/theorycovariance.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index fc84d0f7db..699eceeb1e 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1263,8 +1263,11 @@ def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, @table def theory_covmat_eigenvalues(theory_shift_test): w_nonzero, v_nonzero, projectors = theory_shift_test[:3] - table = pd.DataFrame([np.sqrt(np.abs(w_nonzero[::-1])), np.ndarray.tolist(projectors[::-1])], - index = [r'$s_a$', r'$\delta_a$']) + s_scrambled = np.sqrt(np.abs(w_nonzero[::-1])) + projectors_scrambled = np.ndarray.tolist(projectors[::-1]) + ratio_scrambled = projectors_scrambled/s_scrambled + table = pd.DataFrame([s_scrambled, projectors_scrambled, ratio_scrambled], + index = [r'$s_a$', r'$\delta_a$', r'$\delta_a/s_a$']) return table def modrat(theory_shift_test): From 90f4735e357e1876120564c9ae5609b1cc49f992 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 3 Jan 2019 15:13:29 +0000 Subject: [PATCH 094/429] updating eigenvalue cutoff plots --- validphys2/src/validphys/theorycovariance.py | 69 ++++++++++++-------- 1 file changed, 42 insertions(+), 27 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 699eceeb1e..b77b5e3c9e 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1219,6 +1219,8 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(N # Finding eigenvalues and eigenvectors w, v = la.eigh(matrix) w_max = w[-1] + f = -shx_vector[0].values.T[0] + all_projectors = np.sum(f*v.T, axis=1) if num_evals is not None: w_nonzero = w[-num_evals:] nonzero_locs = range(len(w)-num_evals, len(w)) @@ -1226,9 +1228,9 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(N w_nonzero = w[w>evalue_cutoff*w_max] nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] else: - f_tmp = -shx_vector[0].values.T[0] - projectors_original = np.sum(f_tmp*v.T, axis=1) - ratio = np.abs(projectors_original/np.sqrt(np.abs(w))) + # f_tmp = -shx_vector[0].values.T[0] + # projectors_original = np.sum(f_tmp*v.T, axis=1) + ratio = np.abs(all_projectors/np.sqrt(np.abs(w))) ratio_nonzero = ratio[ratio<3] nonzero_locs = np.nonzero(ratio<3)[0] w_nonzero = [] @@ -1246,7 +1248,7 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(N for i in range(len(projectors)): projected_evectors[i] = projectors[i]*v_nonzero[i] fmiss = f - np.sum(projected_evectors, axis=0) - return w_nonzero, v_nonzero, projectors, f, fmiss, w_max + return w_nonzero, v_nonzero, projectors, f, fmiss, w_max, w, all_projectors def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, evalue_cutoff:(float, type(None)) = None): @@ -1256,7 +1258,7 @@ def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, elif evalue_cutoff is not None: cutoff = evalue_cutoff*w_max else: - cutoff = "No cutoff was specified" + cutoff = "Keep eigenvalues satisfying $|\delta_a/s_a| <3$" print(f"cutoff = {cutoff}") return cutoff @@ -1270,14 +1272,14 @@ def theory_covmat_eigenvalues(theory_shift_test): index = [r'$s_a$', r'$\delta_a$', r'$\delta_a/s_a$']) return table -def modrat(theory_shift_test): +def efficiency(theory_shift_test): f = theory_shift_test[3] fmiss = theory_shift_test[4] fmod = np.sqrt(np.sum(f**2)) fmiss_mod = np.sqrt(np.sum(fmiss**2)) - modrat = fmiss_mod/fmod - print(f"modrat = {modrat}") - return modrat + efficiency = 1 - fmiss_mod/fmod + print(f"efficiency = {efficiency}") + return efficiency def maxrat(theory_shift_test): f = theory_shift_test[3] @@ -1296,25 +1298,38 @@ def validation_theory_chi2(theory_shift_test): @figure def projector_eigenvalue_ratio(theory_shift_test): - projectors = theory_shift_test[2] - evals = theory_shift_test[0] - ratio = np.abs(projectors/np.sqrt(np.abs(evals))) - # Ordering eigenvalues and their projectors at random - randomise = np.arange(len(evals)) - np.random.shuffle(randomise) - evals = np.asarray(evals)[randomise] - projectors = projectors[randomise] - ratio = ratio[randomise] - fig, (ax1, ax2, ax3) = plt.subplots(3, figsize=(5,5)) - ax1.plot(np.abs(projectors), 'o') - ax2.plot(np.sqrt(evals), 'o') - ax3.plot(ratio, 'o', color="red") - ax1.set_title(f"Subspace dimension = {len(evals)}", fontsize=10) + surviving_evals = theory_shift_test[0] + all_projectors = theory_shift_test[7] + all_evals = theory_shift_test[6] + ratio = np.abs(all_projectors)/np.sqrt(np.abs(all_evals)) + masked_evals = np.zeros((len(all_evals))) + for loc, eval in enumerate(all_evals): + if eval in surviving_evals: + masked_evals[loc] = eval + # num_evals_ignored = len(all_evals)-len(surviving_evals) + # # Ordering eigenvalues and their projectors at random + # randomise = np.arange(len(evals)) + # np.random.shuffle(randomise) + # evals = np.asarray(evals)[randomise] + # projectors = projectors[randomise] + # ratio = ratio[randomise] + fig, (ax1, ax2) = plt.subplots(2, figsize=(5,5)) + ax1.plot(np.abs(all_projectors), 'o', label = r'|$\delta_a$|') + ax1.plot(np.sqrt(np.abs(all_evals)), 'o', label = r'$|s_a|$') + ax1.plot(np.sqrt(np.abs(masked_evals)), 'o', label = r'surviving $|s_a|$', color='k') + ax2.plot(ratio, 'o', color="red") + ax1.set_title(f"Number of surviving eigenvalues = {len(surviving_evals)}", fontsize=10) ax1.set_xlabel("a", fontsize=20) - ax1.set_ylabel(r"|$\delta_a$|") - ax2.set_ylabel(r"|$s_a$|") - ax3.set_ylabel(r"|$\delta_a$/$s_a$|") - print(f"Subspace dimension = {len(evals)}") + ax1.set_yscale('log') + ax2.set_yscale('log') +# ax1.set_ylim([all_evals[np.argmin(np.sqrt(np.abs(all_evals)))], +# all_evals[np.argmax(np.sqrt(np.abs(all_evals)))]]) + ax1.legend() + # ax1.axvline(x=num_evals_ignored, color='k') + ax2.axhline(y=3, color='k', label=r'|$\delta_a$/$s_a$| = 3') + ax2.legend() + ax2.set_ylabel(r"|$\delta_a$/$s_a$|") + print(f"Subspace dimension = {len(all_evals)}") return fig @figure From 8f5b3c816bb24734033ed75122c6bed6cbfb49ff Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 4 Jan 2019 15:39:41 +0000 Subject: [PATCH 095/429] changing condition for eval cutoff to 2*num_negative_evals --- validphys2/src/validphys/theorycovariance.py | 30 +++++++++++++------- 1 file changed, 20 insertions(+), 10 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index b77b5e3c9e..9ba4917ead 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1218,7 +1218,14 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(N matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) # Finding eigenvalues and eigenvectors w, v = la.eigh(matrix) - w_max = w[-1] + # Sorting real part of eigenvalues + w = np.real(w) + v = np.real(v) + sort_indices = np.argsort(w) + w = w[sort_indices] + v = v[:, sort_indices] + embed() + w_max = w[np.argmax(w)] f = -shx_vector[0].values.T[0] all_projectors = np.sum(f*v.T, axis=1) if num_evals is not None: @@ -1230,9 +1237,12 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(N else: # f_tmp = -shx_vector[0].values.T[0] # projectors_original = np.sum(f_tmp*v.T, axis=1) - ratio = np.abs(all_projectors/np.sqrt(np.abs(w))) - ratio_nonzero = ratio[ratio<3] - nonzero_locs = np.nonzero(ratio<3)[0] + # ratio = np.abs(all_projectors/np.sqrt(np.abs(w))) + # ratio_nonzero = ratio[ratio<3] + # embed() + num_neg_evals = len(w[w<0]) + nonzero_locs = np.arange(2*num_neg_evals,len(w)) + # nonzero_locs = np.nonzero(ratio<3)[0] w_nonzero = [] for loc in nonzero_locs: if loc >=0: @@ -1265,10 +1275,10 @@ def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, @table def theory_covmat_eigenvalues(theory_shift_test): w_nonzero, v_nonzero, projectors = theory_shift_test[:3] - s_scrambled = np.sqrt(np.abs(w_nonzero[::-1])) - projectors_scrambled = np.ndarray.tolist(projectors[::-1]) + s_scrambled = np.sqrt(np.abs(w_nonzero)) + projectors_scrambled = np.ndarray.tolist(projectors) ratio_scrambled = projectors_scrambled/s_scrambled - table = pd.DataFrame([s_scrambled, projectors_scrambled, ratio_scrambled], + table = pd.DataFrame([s_scrambled[::-1], projectors_scrambled[::-1], ratio_scrambled[::-1]], index = [r'$s_a$', r'$\delta_a$', r'$\delta_a/s_a$']) return table @@ -1298,9 +1308,9 @@ def validation_theory_chi2(theory_shift_test): @figure def projector_eigenvalue_ratio(theory_shift_test): - surviving_evals = theory_shift_test[0] - all_projectors = theory_shift_test[7] - all_evals = theory_shift_test[6] + surviving_evals = theory_shift_test[0][::-1] + all_projectors = theory_shift_test[7][::-1] + all_evals = theory_shift_test[6][::-1] ratio = np.abs(all_projectors)/np.sqrt(np.abs(all_evals)) masked_evals = np.zeros((len(all_evals))) for loc, eval in enumerate(all_evals): From c7f1f78297421b62552594cbb4bc1955a4cb3c81 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 4 Jan 2019 15:52:24 +0000 Subject: [PATCH 096/429] changing description of cutoff --- validphys2/src/validphys/theorycovariance.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 9ba4917ead..4816294c59 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1224,7 +1224,6 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(N sort_indices = np.argsort(w) w = w[sort_indices] v = v[:, sort_indices] - embed() w_max = w[np.argmax(w)] f = -shx_vector[0].values.T[0] all_projectors = np.sum(f*v.T, axis=1) @@ -1268,7 +1267,7 @@ def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, elif evalue_cutoff is not None: cutoff = evalue_cutoff*w_max else: - cutoff = "Keep eigenvalues satisfying $|\delta_a/s_a| <3$" + cutoff = "Remove smallest 2 times number of negative eigenvalues"#"Keep eigenvalues satisfying $|\delta_a/s_a| <3$" print(f"cutoff = {cutoff}") return cutoff From b96ed4fec8db3b1d35b22c18a838229f9cc2bc8c Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Sun, 6 Jan 2019 15:06:51 +0000 Subject: [PATCH 097/429] working on function for rotation of covmat into non-zero eval basis --- validphys2/src/validphys/theorycovariance.py | 59 +++++++++++++++++--- 1 file changed, 51 insertions(+), 8 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 4816294c59..b4d383c80f 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -978,6 +978,31 @@ def dataspecs_dataset_alltheory(matched_dataspecs_results, experiment_name, data matched_dataspecs_dataset_alltheory = collect('dataspecs_dataset_alltheory', ['dataspecs']) +def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_dataset_theory): + all_theory = np.concatenate( + [val.shifts for val in matched_dataspecs_dataset_alltheory], axis=1) + expnames = np.concatenate([ + np.full(len(val.shifts), + val.experiment_name, dtype=object) + for val in matched_dataspecs_dataset_theory + ]) + dsnames = np.concatenate([ + np.full(len(val.shifts), + val.dataset_name, dtype=object) + for val in matched_dataspecs_dataset_theory + ]) + point_indexes = np.concatenate([ + np.arange(len(val.shifts)) + for val in matched_dataspecs_dataset_theory + ]) + index = pd.MultiIndex.from_arrays( + [expnames, dsnames, point_indexes], + names=["Experiment name", "Dataset name", "Point"]) + theory_vectors = [] + for theoryvector in all_theory: + theory_vectors.append(pd.DataFrame(theoryvector, index=index)) + return theory_vectors + @figure def plot_matched_datasets_shift_matrix(matched_datasets_shift_matrix): @@ -1098,6 +1123,7 @@ def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, thx_vector = collect('theory_vector', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) +allthx_vector = collect('alltheory_vector', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) def theory_matrix_threshold(theory_threshold:(int, float) = 0): """Returns the threshold below which theory correlation elements are set to @@ -1212,10 +1238,27 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the f"Theory correlation matrix for {l} points") return fig +def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector): + orig_matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) + # constructing shift vectors + scalevartheory_vectors = allthx_vector[0] + projected_matrix = np.zeros((len(scalevartheory_vectors), len(scalevartheory_vectors))) + for i, shift1 in enumerate(scalevartheory_vectors): + for j, shift2 in enumerate(scalevartheory_vectors): + projected_matrix[i][j] = np.dot(shift1.T, np.dot(orig_matrix, shift2))/np.sqrt( + np.dot(shift1.T, shift1) * np.dot(shift2.T, shift2)) + w_projected, v_projected = la.eigh(projected_matrix) + embed() + return w_projected, v_projected + + -def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(None)) = None, +def theory_shift_test(thx_covmat, shx_vector, thx_vector, + num_evals:(int, type(None)) = None, evalue_cutoff:(float, type(None)) = None): matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) + matrix.to_csv(r'BCDMS9ptcovmat.txt', header=None, index=None, sep=' ', mode='a') +# np.savetxt(r'BCDMS3ptcovmat.txt', matrix.values, fmt='%d') # Finding eigenvalues and eigenvectors w, v = la.eigh(matrix) # Sorting real part of eigenvalues @@ -1236,12 +1279,12 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(N else: # f_tmp = -shx_vector[0].values.T[0] # projectors_original = np.sum(f_tmp*v.T, axis=1) - # ratio = np.abs(all_projectors/np.sqrt(np.abs(w))) - # ratio_nonzero = ratio[ratio<3] - # embed() - num_neg_evals = len(w[w<0]) - nonzero_locs = np.arange(2*num_neg_evals,len(w)) - # nonzero_locs = np.nonzero(ratio<3)[0] + ratio = np.abs(all_projectors/np.sqrt(np.abs(w))) + ratio_nonzero = ratio[ratio<3] + embed() + # num_neg_evals = len(w[w<0]) + # nonzero_locs = np.arange(2*num_neg_evals,len(w)) + nonzero_locs = np.nonzero(ratio<3)[0] w_nonzero = [] for loc in nonzero_locs: if loc >=0: @@ -1267,7 +1310,7 @@ def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, elif evalue_cutoff is not None: cutoff = evalue_cutoff*w_max else: - cutoff = "Remove smallest 2 times number of negative eigenvalues"#"Keep eigenvalues satisfying $|\delta_a/s_a| <3$" + cutoff = "Keep eigenvalues satisfying $|\delta_a/s_a| <3$" print(f"cutoff = {cutoff}") return cutoff From 7eb765118c5b65b3b3b6c98d29b4789e79891842 Mon Sep 17 00:00:00 2001 From: tgiani Date: Mon, 7 Jan 2019 07:45:25 +0000 Subject: [PATCH 098/429] fixing small bug --- libnnpdf/src/dataset.cc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libnnpdf/src/dataset.cc b/libnnpdf/src/dataset.cc index ffa3eecdd4..430e9c3981 100644 --- a/libnnpdf/src/dataset.cc +++ b/libnnpdf/src/dataset.cc @@ -75,7 +75,7 @@ DataSet::~DataSet() */ void DataSet::GenCovMat() const { - fCovMat = ComputeCovMat(*this, fT0Pred, fWeight); + fCovMat = ComputeCovMat(*this, fT0Pred, false, " ", {}, fWeight); fSqrtCov = ComputeSqrtMat(fCovMat); } From d343ef033a12ecf55ee746f6716dd4ef7c3c6ee3 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 7 Jan 2019 14:28:13 +0000 Subject: [PATCH 099/429] changing eval cutoff to 10*mod(largest neg eval) and working on function for projection of covmat into nonzero basis --- validphys2/src/validphys/theorycovariance.py | 37 +++++++++++++------- 1 file changed, 25 insertions(+), 12 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index b4d383c80f..723c8114ee 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -889,7 +889,7 @@ def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, if mat[i][j] > 0: mat[i][j] = 1 else: - mat[i][j] = -1 + mat[i][j] = -1 else: mat[i][j] = 0 else: @@ -987,7 +987,7 @@ def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_data for val in matched_dataspecs_dataset_theory ]) dsnames = np.concatenate([ - np.full(len(val.shifts), + np.full(len(val.shifts), val.dataset_name, dtype=object) for val in matched_dataspecs_dataset_theory ]) @@ -1242,11 +1242,24 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector): orig_matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) # constructing shift vectors scalevartheory_vectors = allthx_vector[0] - projected_matrix = np.zeros((len(scalevartheory_vectors), len(scalevartheory_vectors))) - for i, shift1 in enumerate(scalevartheory_vectors): - for j, shift2 in enumerate(scalevartheory_vectors): - projected_matrix[i][j] = np.dot(shift1.T, np.dot(orig_matrix, shift2))/np.sqrt( - np.dot(shift1.T, shift1) * np.dot(shift2.T, shift2)) + deltas = [scalevarvector - thx_vector[0] for scalevarvector in allthx_vector[0]] + # iteratively orthogonalising deltas + # embed() + moddeltas = [np.abs(delta) for delta in deltas] + ys = [delta/moddelta for delta, moddelta in zip(deltas, moddeltas)] + for i in range(len(deltas)): + if i == 1: + xdash = deltas[i] - [y*np.dot(y.T, deltas[i])[0] + for y in ys[:i]][0] + ys[i] = xdash/np.abs(xdash) + projected_matrix = np.zeros((len(scalevartheory_vectors), + len(scalevartheory_vectors))) + for i, y1 in enumerate(ys): + for j, y2 in enumerate(ys): + projected_matrix[i][j] = np.dot(y1.T, + np.dot(orig_matrix, y2)) /np.sqrt( + np.dot(y1.T, y1) * + np.dot(y2.T, y2)) w_projected, v_projected = la.eigh(projected_matrix) embed() return w_projected, v_projected @@ -1257,8 +1270,7 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, num_evals:(int, type(None)) = None, evalue_cutoff:(float, type(None)) = None): matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) - matrix.to_csv(r'BCDMS9ptcovmat.txt', header=None, index=None, sep=' ', mode='a') -# np.savetxt(r'BCDMS3ptcovmat.txt', matrix.values, fmt='%d') +# matrix.to_csv(r'BCDMS9ptcovmat.txt', header=None, index=None, sep=' ', mode='a') # Finding eigenvalues and eigenvectors w, v = la.eigh(matrix) # Sorting real part of eigenvalues @@ -1277,14 +1289,15 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, w_nonzero = w[w>evalue_cutoff*w_max] nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] else: + mod_larg_neg_eval = np.abs(w[0]) + nonzero_locs = np.nonzero(w>10*mod_larg_neg_eval)[0] # f_tmp = -shx_vector[0].values.T[0] # projectors_original = np.sum(f_tmp*v.T, axis=1) ratio = np.abs(all_projectors/np.sqrt(np.abs(w))) ratio_nonzero = ratio[ratio<3] - embed() # num_neg_evals = len(w[w<0]) # nonzero_locs = np.arange(2*num_neg_evals,len(w)) - nonzero_locs = np.nonzero(ratio<3)[0] + # nonzero_locs = np.nonzero(ratio<3)[0] w_nonzero = [] for loc in nonzero_locs: if loc >=0: @@ -1310,7 +1323,7 @@ def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, elif evalue_cutoff is not None: cutoff = evalue_cutoff*w_max else: - cutoff = "Keep eigenvalues satisfying $|\delta_a/s_a| <3$" + cutoff = "10 times modulus of largest 'negative' eigenvalue" print(f"cutoff = {cutoff}") return cutoff From d012e266b68ee222d23cb334947de07c8fd59454 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 8 Jan 2019 10:21:39 +0000 Subject: [PATCH 100/429] working on projected covmat --- validphys2/src/validphys/theorycovariance.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 723c8114ee..4fa3c24358 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1245,21 +1245,21 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector): deltas = [scalevarvector - thx_vector[0] for scalevarvector in allthx_vector[0]] # iteratively orthogonalising deltas # embed() - moddeltas = [np.abs(delta) for delta in deltas] - ys = [delta/moddelta for delta, moddelta in zip(deltas, moddeltas)] - for i in range(len(deltas)): - if i == 1: - xdash = deltas[i] - [y*np.dot(y.T, deltas[i])[0] - for y in ys[:i]][0] - ys[i] = xdash/np.abs(xdash) + # moddeltas = [np.abs(delta) for delta in deltas] + ys = [delta/np.linalg.norm(delta) for delta in deltas] + xdash = deltas[1] - ys[0]*np.dot(ys[0].T, deltas[1])[0] + ys[1] = xdash/np.linalg.norm(xdash) +# for i in range(len(deltas)): +# if i == 1: +# xdash = deltas[i] - [y*np.dot(y.T, deltas[i])[0] +# for y in ys[:i]][0] +# ys[i] = xdash/np.abs(xdash) projected_matrix = np.zeros((len(scalevartheory_vectors), len(scalevartheory_vectors))) for i, y1 in enumerate(ys): for j, y2 in enumerate(ys): projected_matrix[i][j] = np.dot(y1.T, - np.dot(orig_matrix, y2)) /np.sqrt( - np.dot(y1.T, y1) * - np.dot(y2.T, y2)) + np.dot(orig_matrix, y2)) w_projected, v_projected = la.eigh(projected_matrix) embed() return w_projected, v_projected From 8958eb6222484b14e1e91b347a96b914b55a7194 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 8 Jan 2019 12:31:53 +0000 Subject: [PATCH 101/429] removing normalisation from covmat --- validphys2/src/validphys/theorycovariance.py | 15 ++++----------- 1 file changed, 4 insertions(+), 11 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 4fa3c24358..80927a6fb3 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1239,23 +1239,16 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the return fig def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector): - orig_matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) + orig_matrix = thx_covmat[0]#/(np.outer(thx_vector[0], thx_vector[0])) # constructing shift vectors scalevartheory_vectors = allthx_vector[0] - deltas = [scalevarvector - thx_vector[0] for scalevarvector in allthx_vector[0]] + deltas = [thx_vector[0] - scalevarvector for scalevarvector in allthx_vector[0]] # iteratively orthogonalising deltas - # embed() - # moddeltas = [np.abs(delta) for delta in deltas] ys = [delta/np.linalg.norm(delta) for delta in deltas] xdash = deltas[1] - ys[0]*np.dot(ys[0].T, deltas[1])[0] ys[1] = xdash/np.linalg.norm(xdash) -# for i in range(len(deltas)): -# if i == 1: -# xdash = deltas[i] - [y*np.dot(y.T, deltas[i])[0] -# for y in ys[:i]][0] -# ys[i] = xdash/np.abs(xdash) - projected_matrix = np.zeros((len(scalevartheory_vectors), - len(scalevartheory_vectors))) + projected_matrix = np.zeros((len(ys), + len(ys))) for i, y1 in enumerate(ys): for j, y2 in enumerate(ys): projected_matrix[i][j] = np.dot(y1.T, From 28e4d6d2411bc9db89f174b09ebdd337d8df6f97 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 9 Jan 2019 11:53:07 +0000 Subject: [PATCH 102/429] normalising X vectors in projection --- validphys2/src/validphys/theorycovariance.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 80927a6fb3..2098425003 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1239,10 +1239,10 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the return fig def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector): - orig_matrix = thx_covmat[0]#/(np.outer(thx_vector[0], thx_vector[0])) + orig_matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) # constructing shift vectors scalevartheory_vectors = allthx_vector[0] - deltas = [thx_vector[0] - scalevarvector for scalevarvector in allthx_vector[0]] + deltas = [(thx_vector[0] - scalevarvector)/thx_vector[0] for scalevarvector in allthx_vector[0]] # iteratively orthogonalising deltas ys = [delta/np.linalg.norm(delta) for delta in deltas] xdash = deltas[1] - ys[0]*np.dot(ys[0].T, deltas[1])[0] From d352d8ad2588f0295391a52fd6a6552e798d3afd Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 9 Jan 2019 11:57:05 +0000 Subject: [PATCH 103/429] Remove redundant definition of f in theory_shift_test --- validphys2/src/validphys/theorycovariance.py | 1 - 1 file changed, 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 2098425003..415079b50c 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1300,7 +1300,6 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, for loc in nonzero_locs: if loc >=0: v_nonzero.append(v[:,loc]) - f = -shx_vector[0].values.T[0] projectors = np.sum(f*v_nonzero, axis=1) projected_evectors = np.zeros((len(projectors), (len(f)))) for i in range(len(projectors)): From 1571189418112de4a54bb01048546bb922fddcfe Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 9 Jan 2019 13:27:11 +0000 Subject: [PATCH 104/429] projecting eigenvectors back to data space --- validphys2/src/validphys/theorycovariance.py | 60 ++++++++------------ 1 file changed, 24 insertions(+), 36 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 2098425003..a268edd12e 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1247,25 +1247,16 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector): ys = [delta/np.linalg.norm(delta) for delta in deltas] xdash = deltas[1] - ys[0]*np.dot(ys[0].T, deltas[1])[0] ys[1] = xdash/np.linalg.norm(xdash) - projected_matrix = np.zeros((len(ys), - len(ys))) - for i, y1 in enumerate(ys): - for j, y2 in enumerate(ys): - projected_matrix[i][j] = np.dot(y1.T, - np.dot(orig_matrix, y2)) - w_projected, v_projected = la.eigh(projected_matrix) - embed() - return w_projected, v_projected - - + P = np.column_stack(ys) + projected_matrix = np.dot(P.T, np.dot(orig_matrix, P)) + w, v_projected = la.eigh(projected_matrix) + v = np.dot(P, v_projected) + return w, v -def theory_shift_test(thx_covmat, shx_vector, thx_vector, +def theory_shift_test(shx_vector, thx_vector, evals_nonzero_basis, num_evals:(int, type(None)) = None, evalue_cutoff:(float, type(None)) = None): - matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) -# matrix.to_csv(r'BCDMS9ptcovmat.txt', header=None, index=None, sep=' ', mode='a') - # Finding eigenvalues and eigenvectors - w, v = la.eigh(matrix) + w, v = evals_nonzero_basis # Sorting real part of eigenvalues w = np.real(w) v = np.real(v) @@ -1275,37 +1266,34 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, w_max = w[np.argmax(w)] f = -shx_vector[0].values.T[0] all_projectors = np.sum(f*v.T, axis=1) - if num_evals is not None: - w_nonzero = w[-num_evals:] - nonzero_locs = range(len(w)-num_evals, len(w)) - elif evalue_cutoff is not None: - w_nonzero = w[w>evalue_cutoff*w_max] - nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] - else: - mod_larg_neg_eval = np.abs(w[0]) +# if num_evals is not None: +# w_nonzero = w[-num_evals:] +# nonzero_locs = range(len(w)-num_evals, len(w)) +# elif evalue_cutoff is not None: +# w_nonzero = w[w>evalue_cutoff*w_max] +# nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] +# else: +# mod_larg_neg_eval = np.abs(w[0]) nonzero_locs = np.nonzero(w>10*mod_larg_neg_eval)[0] - # f_tmp = -shx_vector[0].values.T[0] - # projectors_original = np.sum(f_tmp*v.T, axis=1) - ratio = np.abs(all_projectors/np.sqrt(np.abs(w))) - ratio_nonzero = ratio[ratio<3] - # num_neg_evals = len(w[w<0]) - # nonzero_locs = np.arange(2*num_neg_evals,len(w)) - # nonzero_locs = np.nonzero(ratio<3)[0] - w_nonzero = [] - for loc in nonzero_locs: - if loc >=0: - w_nonzero.append(w[loc]) +## ratio = np.abs(all_projectors/np.sqrt(np.abs(w))) +# ratio_nonzero = ratio[ratio<3] +# w_nonzero = [] +# for loc in nonzero_locs: +# if loc >=0: +# w_nonzero.append(w[loc]) # ^ taking 0th element to extract list from tuple + nonzero_locs = range(len(w)) + w_nonzero = w[nonzero_locs] v_nonzero = [] for loc in nonzero_locs: if loc >=0: v_nonzero.append(v[:,loc]) - f = -shx_vector[0].values.T[0] projectors = np.sum(f*v_nonzero, axis=1) projected_evectors = np.zeros((len(projectors), (len(f)))) for i in range(len(projectors)): projected_evectors[i] = projectors[i]*v_nonzero[i] fmiss = f - np.sum(projected_evectors, axis=0) + embed() return w_nonzero, v_nonzero, projectors, f, fmiss, w_max, w, all_projectors def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, From d92d159f548c313f41e64d2bfd2cbe30b6661efc Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 9 Jan 2019 13:30:36 +0000 Subject: [PATCH 105/429] fixing non-commented line --- validphys2/src/validphys/theorycovariance.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index a268edd12e..8c60c31b7b 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1274,7 +1274,7 @@ def theory_shift_test(shx_vector, thx_vector, evals_nonzero_basis, # nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] # else: # mod_larg_neg_eval = np.abs(w[0]) - nonzero_locs = np.nonzero(w>10*mod_larg_neg_eval)[0] +# nonzero_locs = np.nonzero(w>10*mod_larg_neg_eval)[0] ## ratio = np.abs(all_projectors/np.sqrt(np.abs(w))) # ratio_nonzero = ratio[ratio<3] # w_nonzero = [] From 6b89c2b967675becbc228a2b5681c56638663697 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 9 Jan 2019 16:44:52 +0000 Subject: [PATCH 106/429] Change output of cutoff if no cut-off is provided --- validphys2/src/validphys/theorycovariance.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index a88c1e9a14..0b9a68e229 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1330,7 +1330,7 @@ def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, elif evalue_cutoff is not None: cutoff = evalue_cutoff*w_max else: - cutoff = "10 times modulus of largest 'negative' eigenvalue" + cutoff = "No cut-off. Non-zero eigenvalues found by method of projecting covariance matrix into subspace of data space." print(f"cutoff = {cutoff}") return cutoff From cba37c2cb112b4bc3ce2bf57c09bc9f6bbfa4866 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 10 Jan 2019 14:24:59 +0000 Subject: [PATCH 107/429] generating ys iteratively to allow for all prescriptions in eigenvalue projection --- validphys2/src/validphys/theorycovariance.py | 61 +++++++++++--------- 1 file changed, 34 insertions(+), 27 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index a88c1e9a14..4dbca7ed3e 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -1268,21 +1268,33 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector): orig_matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) # constructing shift vectors scalevartheory_vectors = allthx_vector[0] - deltas = [(thx_vector[0] - scalevarvector)/thx_vector[0] for scalevarvector in allthx_vector[0]] + xs = [(thx_vector[0] - scalevarvector)/thx_vector[0] for scalevarvector in allthx_vector[0]] # iteratively orthogonalising deltas - ys = [delta/np.linalg.norm(delta) for delta in deltas] - xdash = deltas[1] - ys[0]*np.dot(ys[0].T, deltas[1])[0] - ys[1] = xdash/np.linalg.norm(xdash) + ys = [x/np.linalg.norm(x) for x in xs] + xdashs = [None]*len(ys) + for n, x in enumerate(xs): + sub_ys = ys[:n] + subtract_terms = [None]*len(sub_ys) + xlist = [x]*len(sub_ys) + for i in range(len(sub_ys)): + subtract_terms[i] = np.dot(sub_ys[i], np.dot(sub_ys[i].T, xlist[i])) + xdashs[n] = x - np.sum(subtract_terms, axis=0) + ys[n] = xdashs[n]/np.linalg.norm(xdashs[n]) +# xdash = xs[1] - ys[0]*np.dot(ys[0].T, xs[1])[0] +# ys[1] = xdash/np.linalg.norm(xdash) P = np.column_stack(ys) projected_matrix = np.dot(P.T, np.dot(orig_matrix, P)) w, v_projected = la.eigh(projected_matrix) v = np.dot(P, v_projected) return w, v -def theory_shift_test(shx_vector, thx_vector, evals_nonzero_basis, - num_evals:(int, type(None)) = None, - evalue_cutoff:(float, type(None)) = None): - w, v = evals_nonzero_basis +def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, + eigenvalue_cutoff:(bool, type(None)) = None): + if eigenvalue_cutoff == True: + matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) + w, v = la.eigh(matrix) + else: + w, v = evals_nonzero_basis # Sorting real part of eigenvalues w = np.real(w) v = np.real(v) @@ -1298,18 +1310,17 @@ def theory_shift_test(shx_vector, thx_vector, evals_nonzero_basis, # elif evalue_cutoff is not None: # w_nonzero = w[w>evalue_cutoff*w_max] # nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] -# else: -# mod_larg_neg_eval = np.abs(w[0]) -# nonzero_locs = np.nonzero(w>10*mod_larg_neg_eval)[0] -## ratio = np.abs(all_projectors/np.sqrt(np.abs(w))) -# ratio_nonzero = ratio[ratio<3] -# w_nonzero = [] -# for loc in nonzero_locs: -# if loc >=0: -# w_nonzero.append(w[loc]) + if eigenvalue_cutoff == True: + mod_larg_neg_eval = np.abs(w[0]) + nonzero_locs = np.nonzero(w>10*mod_larg_neg_eval)[0] + w_nonzero = [] + for loc in nonzero_locs: + if loc >=0: + w_nonzero.append(w[loc]) # ^ taking 0th element to extract list from tuple - nonzero_locs = range(len(w)) - w_nonzero = w[nonzero_locs] + else: + nonzero_locs = range(len(w)) + w_nonzero = w[nonzero_locs] v_nonzero = [] for loc in nonzero_locs: if loc >=0: @@ -1319,18 +1330,14 @@ def theory_shift_test(shx_vector, thx_vector, evals_nonzero_basis, for i in range(len(projectors)): projected_evectors[i] = projectors[i]*v_nonzero[i] fmiss = f - np.sum(projected_evectors, axis=0) - embed() return w_nonzero, v_nonzero, projectors, f, fmiss, w_max, w, all_projectors -def cutoff(theory_shift_test, num_evals:(int, type(None)) = None, - evalue_cutoff:(float, type(None)) = None): +def cutoff(theory_shift_test, eigenvalue_cutoff:(bool, type(None)) = None): w_max = theory_shift_test[5] - if num_evals is not None: - cutoff = f"{num_evals} largest eigenvalues were selected" - elif evalue_cutoff is not None: - cutoff = evalue_cutoff*w_max - else: + if eigenvalue_cutoff == True: cutoff = "10 times modulus of largest 'negative' eigenvalue" + else: + cutoff = "Eigenvalues determined by projection onto space of non-zero eigenvalues" print(f"cutoff = {cutoff}") return cutoff From 1efdd29830f4438b09fdab388e95df6a0e414a63 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 14 Jan 2019 18:18:19 +0000 Subject: [PATCH 108/429] Split theorycovariance.py into three modules --- validphys2/src/validphys/app.py | 2 + validphys2/src/validphys/theorycovariance.py | 823 +----------------- .../src/validphys/theorycovariance_output.py | 262 ++++++ .../src/validphys/theorycovariance_tests.py | 607 +++++++++++++ 4 files changed, 872 insertions(+), 822 deletions(-) create mode 100644 validphys2/src/validphys/theorycovariance_output.py create mode 100644 validphys2/src/validphys/theorycovariance_tests.py diff --git a/validphys2/src/validphys/app.py b/validphys2/src/validphys/app.py index 69199eb84a..909b00e02b 100644 --- a/validphys2/src/validphys/app.py +++ b/validphys2/src/validphys/app.py @@ -38,6 +38,8 @@ 'validphys.paramfits.dataops', 'validphys.paramfits.plots', 'validphys.theorycovariance', + 'validphys.theorycovariance_output', + 'validphys.theorycovariance_tests', 'validphys.replica_selector', 'validphys.MCgen_checks', 'validphys.closure', diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance.py index 4dbca7ed3e..acd4e4618c 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance.py @@ -10,23 +10,16 @@ from collections import defaultdict, namedtuple import numpy as np import scipy.linalg as la -import matplotlib.pyplot as plt -from matplotlib import cm, colors as mcolors import pandas as pd -from reportengine.figure import figure from reportengine.checks import make_argcheck, check from reportengine.table import table from reportengine import collect from validphys.results import experiments_central_values, results -from validphys.results import Chi2Data, experiments_chi2_table +from validphys.results import Chi2Data from validphys.calcutils import calc_chi2, all_chi2_theory, central_chi2_theory from validphys.plotoptions import get_info -from validphys import plotutils -from validphys.checks import check_two_dataspecs - -from IPython import embed log = logging.getLogger(__name__) @@ -72,20 +65,6 @@ def _check_correct_theory_combination(theoryids, "Choice of input theories does not correspond to a valid " "prescription for theory covariance matrix calculation") -@make_argcheck -def _check_valid_shift_matrix_threshold_method(shift_threshold:(int, float, None) = None, - method:(int, None) = None): - """Checks that a valid method 1 or 2 is chosen where a threshold for - removing elements of the shift correlation matrix has been specified""" - opts = {1,2} - if shift_threshold != None: - check(method is not None, "A threshold for removing elements of the " - "shift correlation matrix has been specified but no choice of " - "method (1 or 2) was provided") - check(method in opts, - "Invalid choice of method for removing shift correlation matrix " - "elements. Please choose 1 or 2.") - def make_scale_var_covmat(predictions): """Takes N theory predictions at different scales and applies N-pt scale variations to produce a covariance matrix.""" @@ -625,803 +604,3 @@ def abs_chi2_data_diagtheory_dataset(each_dataset_results, """ For a diagonal theory covmat """ return abs_chi2_data_theory_dataset(each_dataset_results, total_covmat_diagtheory_datasets) - -@table -def experiments_chi2_table_theory(experiments, pdf, - abs_chi2_data_theory_experiment, - abs_chi2_data_theory_dataset): - """Same as experiments_chi2_table but including theory covariance matrix""" - return experiments_chi2_table(experiments, pdf, - abs_chi2_data_theory_experiment, - abs_chi2_data_theory_dataset) -@table -def experiments_chi2_table_diagtheory(experiments, pdf, - abs_chi2_data_diagtheory_experiment, - abs_chi2_data_diagtheory_dataset): - """Same as experiments_chi2_table but including - diagonal theory covariance matrix""" - return experiments_chi2_table(experiments, pdf, - abs_chi2_data_diagtheory_experiment, - abs_chi2_data_diagtheory_dataset) - -def matrix_plot_labels(df): - explabels = [x[0] for x in df.columns] - points = [x[2] for x in df.columns] - unique_exp = [] - unique_exp.append([explabels[0],points[0]]) - for x in range(len(explabels)-1): - if explabels[x+1] != explabels[x]: - unique_exp.append([explabels[x+1],x+1]) - ticklabels = [unique_exp[x][0] for x in range(len(unique_exp))] - startlocs = [unique_exp[x][1] for x in range(len(unique_exp))] - startlocs += [len(explabels)] - ticklocs = [0 for x in range(len(startlocs)-1)] - for i in range(len(startlocs)-1): - ticklocs[i] = 0.5*(startlocs[i+1]+startlocs[i]) - return ticklocs, ticklabels - -@figure -def plot_covmat_heatmap(covmat, title): - """Matrix plot of a covariance matrix""" - df = covmat - matrix = df.values - fig,ax = plt.subplots(figsize=(15,15)) - matrixplot = ax.matshow(100*matrix, - cmap=cm.Spectral_r, - norm=mcolors.SymLogNorm(linthresh=0.01, - linscale=10, - vmin=-100*matrix.max(), - vmax=100*matrix.max())) - fig.colorbar(matrixplot, label="% of data") - ax.set_title(title) - ticklocs, ticklabels = matrix_plot_labels(df) - plt.xticks(ticklocs, ticklabels, rotation=30, ha="right") - plt.gca().xaxis.tick_bottom() - plt.yticks(ticklocs, ticklabels) - return fig - -@figure -def plot_corrmat_heatmap(corrmat, title): - """Matrix plot of a correlation matrix""" - df = corrmat - matrix = df.values - fig, ax = plt.subplots(figsize=(15,15)) - matrixplot = ax.matshow(matrix, cmap=cm.Spectral_r, vmin=-1, vmax=1) - fig.colorbar(matrixplot) - ax.set_title(title) - ticklocs, ticklabels = matrix_plot_labels(df) - plt.xticks(ticklocs, ticklabels, rotation=30, ha="right") - plt.gca().xaxis.tick_bottom() - plt.yticks(ticklocs, ticklabels) - return fig - -@figure -def plot_normexpcovmat_heatmap(experiments_normcovmat): - """Matrix plot of the experiment covariance matrix normalised to data.""" - fig = plot_covmat_heatmap(experiments_normcovmat, - "Experiment covariance matrix") - return fig - -@figure -def plot_expcorrmat_heatmap(experiments_corrmat): - """Matrix plot of the experiment correlation matrix""" - fig = plot_corrmat_heatmap(experiments_corrmat, - "Experiment correlation matrix") - return fig - -@figure -def plot_normthblockcovmat_heatmap(theory_normblockcovmat): - """Matrix plot for block diagonal theory covariance matrix""" - fig = plot_covmat_heatmap(theory_normblockcovmat, - "Block diagonal theory covariance matrix by dataset") - return fig - -@figure -def plot_normthcovmat_heatmap_custom(theory_normcovmat_custom, theoryids): - """Matrix plot for block diagonal theory covariance matrix by process type""" - l = len(theoryids) - fig = plot_covmat_heatmap(theory_normcovmat_custom, - f"Theory covariance matrix for {l} points") - return fig - -@figure -def plot_thblockcorrmat_heatmap(theory_blockcorrmat): - """Matrix plot of the theory correlation matrix""" - fig = plot_corrmat_heatmap(theory_blockcorrmat, - "Theory correlation matrix block diagonal by dataset") - return fig - -@figure -def plot_thcorrmat_heatmap_custom(theory_corrmat_custom, theoryids): - """Matrix plot of the theory correlation matrix, correlations by process type""" - l = len(theoryids) - fig = plot_corrmat_heatmap(theory_corrmat_custom, - f"Theory correlation matrix for {l} points") - return fig - -@figure -def plot_normexpplusblockthcovmat_heatmap(experimentsplusblocktheory_normcovmat): - """Matrix plot of the exp + theory covariance matrix normalised to data""" - fig = plot_covmat_heatmap(experimentsplusblocktheory_normcovmat, - "Experiment + theory (block diagonal by dataset) covariance matrix") - return fig - -@figure -def plot_normexpplusthcovmat_heatmap_custom(experimentsplustheory_normcovmat_custom, theoryids): - """Matrix plot of the exp + theory covariance matrix normalised to data""" - l = len(theoryids) - fig = plot_covmat_heatmap(experimentsplustheory_normcovmat_custom, - f"Experiment + theory covariance matrix for {l} points") - return fig - -@figure -def plot_expplusblockthcorrmat_heatmap(experimentsplusblocktheory_corrmat): - """Matrix plot of the exp + theory correlation matrix""" - fig = plot_corrmat_heatmap(experimentsplusblocktheory_corrmat, - "Experiment + theory (block diagonal by dataset) correlation matrix") - return fig - -@figure -def plot_expplusthcorrmat_heatmap_custom(experimentsplustheory_corrmat_custom, theoryids): - """Matrix plot of the exp + theory correlation matrix""" - l = len(theoryids) - fig = plot_corrmat_heatmap(experimentsplustheory_corrmat_custom, - f"Experiment + theory correlation matrix for {l} points") - return fig - -@figure -def plot_blockcovdiff_heatmap(theory_block_diag_covmat, experiments_covmat): - """Matrix plot (thcov + expcov)/expcov""" - df = (theory_block_diag_covmat.as_matrix()+experiments_covmat.values - )/np.mean(experiments_covmat.values) - fig = plot_covmat_heatmap(df,"(Theory + experiment)/mean(experiment)" + - "for block diagonal theory covmat by dataset") - return fig - -@figure -def plot_covdiff_heatmap_custom(theory_covmat_custom, experiments_covmat, theoryids): - """Matrix plot (thcov + expcov)/expcov""" - l = len(theoryids) - df = (theory_covmat_custom+experiments_covmat - )/np.mean(experiments_covmat.values) - fig = plot_covmat_heatmap(df, - "(Theory + experiment)/mean(experiment)" - + f"covariance matrices for {l} points") - return fig - -@figure -def plot_diag_cov_comparison(theory_covmat_custom, experiments_covmat, experiments_data, theoryids): - """Plot of sqrt(cov_ii)/|data_i| for cov = exp, theory, exp+theory""" - l = len(theoryids) - data = np.abs(experiments_data) - df_theory = theory_covmat_custom - df_experiment = experiments_covmat - df_total = df_theory + df_experiment - sqrtdiags1 = np.sqrt(np.diag(df_theory.values)) - sqrtdiags2 = np.sqrt(np.diag(df_experiment.values)) - sqrtdiags3 = np.sqrt(np.diag(df_total.values)) - fig,ax = plt.subplots(figsize=(20,10)) - ax.plot((sqrtdiags2/data).values, '.', label="Experiment", color="orange") - ax.plot((sqrtdiags1/data).values, '.', label="Theory", color = "red") - ax.plot((sqrtdiags3/data).values, '.', label="Total", color = "blue") - ticklocs, ticklabels = matrix_plot_labels(df_experiment) - plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=6) - ax.set_ylabel(r"$\frac{\sqrt{cov_{ii}}}{|D_i|}$") - ax.set_ylim([0,0.5]) - ax.set_title(f"Square root of diagonal elements of covariances matrices for {l} points, " - + "normalised to absolute value of data") - ax.legend() - return fig - -@figure -def plot_diag_cov_impact(theory_covmat_custom, experiments_covmat, - experiments_data, theoryids): - """Plot ((expcov)^-1_ii)^-0.5 versus ((expcov + thcov)^-1_ii)^-0.5""" - l = len(theoryids) - data = experiments_data - df_theory = theory_covmat_custom - df_experiment = experiments_covmat - matrix_theory = df_theory.values - matrix_experiment = df_experiment.values - a = (np.diag(la.inv(matrix_experiment)))**(-0.5) - b = (np.diag(la.inv(matrix_theory+matrix_experiment)))**(-0.5) - fig,ax = plt.subplots() - ax.plot((a/data).values, '.', label="Experiment", color="orange") - ax.plot((b/data).values, '.', label="Experiment + Theory", color="mediumseagreen") - ticklocs, ticklabels = matrix_plot_labels(df_experiment) - plt.xticks(ticklocs, ticklabels, rotation="vertical") - ax.set_ylabel(r"$\frac{1}{D_i}\frac{1}{\sqrt{[cov^{-1}_]{ii}}}$") - ax.set_title(f"Diagonal impact of adding theory covariance matrix for {l} points") - ax.legend() - return fig - -@figure -def plot_datasets_chi2_theory(experiments, - each_dataset_chi2, - abs_chi2_data_theory_dataset): - """Plot the chi² of all datasets, before and after adding theory errors, with bars.""" - ds = iter(each_dataset_chi2) - dstheory = iter(abs_chi2_data_theory_dataset) - dschi2 = [] - dschi2theory = [] - xticks = [] - for experiment in experiments: - for dataset, dsres in zip(experiment, ds): - dschi2.append(dsres.central_result/dsres.ndata) - xticks.append(dataset.name) - for experiment in experiments: - for dataset, dsres in zip(experiment, dstheory): - dschi2theory.append(dsres.central_result/dsres.ndata) - plotvalues = np.stack((dschi2theory, dschi2)) - fig,ax = plotutils.barplot(plotvalues, collabels=xticks, - datalabels=["experiment + theory", "experiment"]) - ax.set_title(r"$\chi^2$ distribution for datasets") - ax.legend(fontsize=14) - return fig - - -matched_dataspecs_results = collect('results', ['dataspecs']) - -LabeledShifts = namedtuple('LabeledShifts', - ('experiment_name', 'dataset_name', 'shifts')) -@check_two_dataspecs -def dataspecs_dataset_prediction_shift(matched_dataspecs_results, experiment_name, - dataset_name): - """Compute the differnce in theory predictions between two dataspecs. - This can be used in combination with `matched_datasets_from_dataspecs` - - It returns a ``LabeledShifts`` containing ``dataset_name``, - ``experiment_name`` and``shifts``. - """ - r1, r2 = matched_dataspecs_results - res = r1[1].central_value - r2[1].central_value - return LabeledShifts(dataset_name=dataset_name, - experiment_name=experiment_name, shifts=res) - -matched_dataspecs_dataset_prediction_shift = collect( - 'dataspecs_dataset_prediction_shift', ['dataspecs']) - - -#Not sure we want to export this, as it is 231 Mb... -#@table -@_check_valid_shift_matrix_threshold_method -def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, - matched_dataspecs_dataset_theory, - shift_threshold:(int, float, type(None)) = None, - method:(int, type(None)) = None): - """Produce a matrix out of the outer product of - ``dataspecs_dataset_prediction_shift``. The matrix will be a - pandas DataFrame, indexed similarly to ``experiments_index``. - Note that this produces the normalised shift matrix, i.e. it is - computed from shifts normalised to central theory.""" - all_shifts = np.concatenate( - [val.shifts for val in matched_dataspecs_dataset_prediction_shift]) - all_theory = np.concatenate( - [val.shifts for val in matched_dataspecs_dataset_theory]) - norm_shifts = all_shifts/all_theory - mat = np.outer(norm_shifts, norm_shifts) - for i, ival in enumerate(norm_shifts): - for j, jval in enumerate(norm_shifts): - if method == 1: - if (np.abs(ival) < shift_threshold) or (np.abs(jval) < shift_threshold): - mat[i][j] = 0 - elif mat[i][j] > 0: - mat[i][j] = 1 - else: - mat[i][j] = -1 - elif method == 2: - if (ival!=0) and (jval!=0): - if 1/shift_threshold <= np.abs(ival/jval) <= shift_threshold: - if mat[i][j] > 0: - mat[i][j] = 1 - else: - mat[i][j] = -1 - else: - mat[i][j] = 0 - else: - pass - #build index - expnames = np.concatenate([ - np.full(len(val.shifts), val.experiment_name, dtype=object) - for val in matched_dataspecs_dataset_prediction_shift - ]) - dsnames = np.concatenate([ - np.full(len(val.shifts), val.dataset_name, dtype=object) - for val in matched_dataspecs_dataset_prediction_shift - ]) - point_indexes = np.concatenate([ - np.arange(len(val.shifts)) - for val in matched_dataspecs_dataset_prediction_shift - ]) - - index = pd.MultiIndex.from_arrays( - [expnames, dsnames, point_indexes], - names=["Experiment name", "Dataset name", "Point"]) - - return pd.DataFrame(mat, columns=index, index=index) - -def shift_vector(matched_dataspecs_dataset_prediction_shift, - matched_dataspecs_dataset_theory): - all_shifts = np.concatenate( - [val.shifts for val in matched_dataspecs_dataset_prediction_shift]) - all_theory = np.concatenate( - [val.shifts for val in matched_dataspecs_dataset_theory]) - norm_shifts = all_shifts/all_theory - #build index - expnames = np.concatenate([ - np.full(len(val.shifts), val.experiment_name, dtype=object) - for val in matched_dataspecs_dataset_prediction_shift - ]) - dsnames = np.concatenate([ - np.full(len(val.shifts), val.dataset_name, dtype=object) - for val in matched_dataspecs_dataset_prediction_shift - ]) - point_indexes = np.concatenate([ - np.arange(len(val.shifts)) - for val in matched_dataspecs_dataset_prediction_shift - ]) - - index = pd.MultiIndex.from_arrays( - [expnames, dsnames, point_indexes], - names=["Experiment name", "Dataset name", "Point"]) - return pd.DataFrame(norm_shifts, index=index) - -def dataspecs_dataset_theory(matched_dataspecs_results, experiment_name, dataset_name): - central, *others = matched_dataspecs_results - res = central[1].central_value - return LabeledShifts(dataset_name=dataset_name, - experiment_name=experiment_name, shifts=res) - -matched_dataspecs_dataset_theory = collect('dataspecs_dataset_theory', ['dataspecs']) - -def theory_vector(matched_dataspecs_dataset_theory): - all_theory = np.concatenate( - [val.shifts for val in matched_dataspecs_dataset_theory]) - #build index - expnames = np.concatenate([ - np.full(len(val.shifts), val.experiment_name, dtype=object) - for val in matched_dataspecs_dataset_theory - ]) - dsnames = np.concatenate([ - np.full(len(val.shifts), val.dataset_name, dtype=object) - for val in matched_dataspecs_dataset_theory - ]) - point_indexes = np.concatenate([ - np.arange(len(val.shifts)) - for val in matched_dataspecs_dataset_theory - ]) - - index = pd.MultiIndex.from_arrays( - [expnames, dsnames, point_indexes], - names=["Experiment name", "Dataset name", "Point"]) - return pd.DataFrame(all_theory, index=index) - -def dataspecs_dataset_alltheory(matched_dataspecs_results, experiment_name, dataset_name): - central, *others = matched_dataspecs_results - res = [other[1].central_value for other in others] - return LabeledShifts(dataset_name=dataset_name, - experiment_name=experiment_name, shifts=res) - -matched_dataspecs_dataset_alltheory = collect('dataspecs_dataset_alltheory', ['dataspecs']) - -def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_dataset_theory): - all_theory = np.concatenate( - [val.shifts for val in matched_dataspecs_dataset_alltheory], axis=1) - expnames = np.concatenate([ - np.full(len(val.shifts), - val.experiment_name, dtype=object) - for val in matched_dataspecs_dataset_theory - ]) - dsnames = np.concatenate([ - np.full(len(val.shifts), - val.dataset_name, dtype=object) - for val in matched_dataspecs_dataset_theory - ]) - point_indexes = np.concatenate([ - np.arange(len(val.shifts)) - for val in matched_dataspecs_dataset_theory - ]) - index = pd.MultiIndex.from_arrays( - [expnames, dsnames, point_indexes], - names=["Experiment name", "Dataset name", "Point"]) - theory_vectors = [] - for theoryvector in all_theory: - theory_vectors.append(pd.DataFrame(theoryvector, index=index)) - return theory_vectors - - -@figure -def plot_matched_datasets_shift_matrix(matched_datasets_shift_matrix): - """Heatmap plot of matched_datasets_shift_matrix""" - return plot_covmat_heatmap(matched_datasets_shift_matrix, - - "Shift outer product matrix") - -@table -def matched_datasets_shift_matrix_correlations(matched_datasets_shift_matrix): - mat = matched_datasets_shift_matrix.values - diag_minus_half = (np.diagonal(mat))**(-0.5) - corrmat = diag_minus_half[:, np.newaxis] * mat * diag_minus_half - corrmat = pd.DataFrame( - corrmat, - columns=matched_datasets_shift_matrix.columns, - index=matched_datasets_shift_matrix.index) - return corrmat - -@figure -def plot_matched_datasets_shift_matrix_correlations( - matched_datasets_shift_matrix): - """Heatmap plot of the correlations of - matched_datasets_shift_matrix. By construction these are - zero or one.""" - corrmat = matched_datasets_shift_matrix_correlations - return plot_corrmat_heatmap( - corrmat, "Shift outer product normalized (correlation) matrix") - -all_matched_results = collect('matched_dataspecs_results', - ['dataspecs']) - -def combine_by_type_dataspecs(process_lookup, all_matched_results, matched_dataspecs_dataset_name): - return combine_by_type(process_lookup, all_matched_results, matched_dataspecs_dataset_name) - -datapsecs_theoryids = collect('theoryid', ['theoryconfig', 'original', 'dataspecs']) - -def process_starting_points_dataspecs(combine_by_type_dataspecs): - return process_starting_points(combine_by_type_dataspecs) - -@make_argcheck -def _check_correct_theory_combination_dataspecs(datapsecs_theoryids, - fivetheories): - return _check_correct_theory_combination.__wrapped__( - datapsecs_theoryids, fivetheories) - -#@_check_correct_theory_combination_dataspecs -def covs_pt_prescrip_dataspecs(combine_by_type_dataspecs, - process_starting_points_dataspecs, - datapsecs_theoryids, - fivetheories: (str, type(None)) = None): - return covs_pt_prescrip(combine_by_type_dataspecs, process_starting_points_dataspecs, - datapsecs_theoryids, fivetheories) - -def covmap_dataspecs(combine_by_type_dataspecs, matched_dataspecs_dataset_name): - return covmap(combine_by_type_dataspecs, matched_dataspecs_dataset_name) - -matched_dataspecs_experiment_name = collect( - 'experiment_name', ['dataspecs']) -matched_dataspecs_dataset_name = collect( - 'dataset_name', ['dataspecs']) -matched_cuts_datasets = collect('dataset', ['dataspecs']) -all_matched_datasets = collect('matched_cuts_datasets', - ['dataspecs']) - - -def all_matched_data_lengths(all_matched_datasets): - lens = [] - for rlist in all_matched_datasets: - lens.append(rlist[0].load().GetNData()) - return lens - -def matched_experiments_index(matched_dataspecs_experiment_name, - matched_dataspecs_dataset_name, - all_matched_data_lengths): - - enames = matched_dataspecs_experiment_name - dsnames = matched_dataspecs_dataset_name - lens = all_matched_data_lengths - #build index - expnames = np.concatenate([ - np.full(l, ename, dtype=object) - for (l, ename) in zip(lens, enames) - ]) - dsnames = np.concatenate([ - np.full(l, dsname, dtype=object) - for (l, dsname) in zip(lens, dsnames) - ]) - point_indexes = np.concatenate([ - np.arange(l) - for l in lens - ]) - - index = pd.MultiIndex.from_arrays( - [expnames, dsnames, point_indexes], - names=["Experiment name", "Dataset name", "Point"]) - return index - -@table -def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, - matched_experiments_index): - return theory_covmat_custom(covs_pt_prescrip_dataspecs, covmap_dataspecs, - matched_experiments_index) - -thx_corrmat = collect('theory_corrmat_custom_dataspecs', - ['combined_shift_and_theory_dataspecs', 'theoryconfig']) - -shx_corrmat = collect('matched_datasets_shift_matrix_correlations', - ['combined_shift_and_theory_dataspecs', 'shiftconfig']) - -thx_covmat = collect('theory_covmat_custom_dataspecs', - ['combined_shift_and_theory_dataspecs', 'theoryconfig']) - -combined_dataspecs_results = collect('all_matched_results', - ['combined_shift_and_theory_dataspecs', 'theoryconfig']) - -shx_vector = collect('shift_vector', ['combined_shift_and_theory_dataspecs', 'shiftconfig']) - -thx_vector = collect('theory_vector', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) - -allthx_vector = collect('alltheory_vector', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) - -def theory_matrix_threshold(theory_threshold:(int, float) = 0): - """Returns the threshold below which theory correlation elements are set to - zero when comparing to shift correlation matrix""" - return theory_threshold - -@table -def shift_to_theory_ratio(thx_corrmat, shx_corrmat): - ratio = (thx_corrmat[0]/shx_corrmat[0]).fillna(0) - return ratio - -@figure -def shift_to_theory_ratio_plot(shift_to_theory_ratio): - matrix = shift_to_theory_ratio - matrix[((matrix==np.inf) | (matrix==-np.inf))] = 0 -# bins = np.linspace(-1, 1, num=21) -# digmatrix = np.digitize(matrix, bins) -# symdigmatrix = np.zeros((len(digmatrix), len(digmatrix))) -# for binnumber in range(len(bins)): -# symdigmatrix[digmatrix==binnumber+1] = bins[binnumber] - fig, ax = plt.subplots(figsize=(15,15)) - matrixplot = ax.matshow(matrix, cmap=cm.Spectral_r) - fig.colorbar(matrixplot) - ax.set_title("Ratio of theory to shift correlation matrices") - ticklocs, ticklabels = matrix_plot_labels(matrix) - plt.xticks(ticklocs, ticklabels, rotation=30, ha="right") - plt.gca().xaxis.tick_bottom() - plt.yticks(ticklocs, ticklabels) - return fig - -@figure -def shift_corrmat_plot(shx_corrmat): - # removing nans and setting them to 0 - fig = plot_corrmat_heatmap(shx_corrmat[0].fillna(0), - "Shift correlation matrix") - return fig - -@figure -def theory_corrmat_plot(thx_corrmat): - fig = plot_corrmat_heatmap(thx_corrmat[0], - "Theory correlation matrix") - return fig - -@table -def shift_corrmat_value_fractions(shx_corrmat): - mat = shx_corrmat[0].fillna(0).values - matsize = np.size(mat) - fracplus = 100*np.size(np.where(mat>0))/(2*matsize) - fracminus = 100*np.size(np.where(mat<0))/(2*matsize) - fraczero = 100*np.size(np.where(mat==0))/(2*matsize) - table = pd.DataFrame([fracplus, fracminus, fraczero], - index=[r'$f_{\rho=+1}$', - r'$f_{\rho=-1}$', - r'$f_{\rho=0}$'], - columns = ["% of total entries"]) - return table - -@table -def theory_corrmat_value_fractions(thx_corrmat, - theory_threshold:(int, float) = 0): - mat = thx_corrmat[0].values - newmat = np.zeros((len(mat),len(mat))) - #coarse graining for comparison - newmat[mat>=theory_threshold]=1 - newmat[mat<=-theory_threshold]=-1 -# mask = ((mat!=-1) & (mat!=1)) -# mat[mask]=0 - matsize = np.size(mat) - fracplus = 100*np.size(np.where(newmat>0))/(2*matsize) - fracminus = 100*np.size(np.where(newmat<0))/(2*matsize) - fraczero = 100*np.size(np.where(newmat==0))/(2*matsize) - table = pd.DataFrame([fracplus, fracminus, fraczero], - index=[r'$\tilde{f}_{\rho=+1}$', - r'$\tilde{f}_{\rho=-1}$', - r'$\tilde{f}_{\rho=0}$'], - columns = ["% of total entries"]) - return table - -@table -def shift_theory_element_comparison(shx_corrmat, thx_corrmat, - theory_threshold:(int, float) = 0): - #coarse graining for comparison - thmat = thx_corrmat[0].values - newthmat = np.zeros((len(thmat),len(thmat))) - newthmat[thmat>=theory_threshold]=1 - newthmat[thmat<=-theory_threshold]=-1 -# mask = ((thmat!=-1) & (thmat!=1)) -# thmat[mask]=0 - shmat = shx_corrmat[0].fillna(0).values - num_non_zero = np.size(np.where(shmat!=0))/2 - fracsame = 100*np.size(np.where((shmat==newthmat) & (shmat!=0)))/(2*num_non_zero) - fracdiff = 100*np.size(np.where((shmat!=newthmat) & (shmat!=0)))/(2*num_non_zero) - table = pd.DataFrame([fracsame, fracdiff], - index=['same sign', - 'different signs'], - columns = ["% of total entries (where shift matrix is non-zero)"]) - return table - - -@table -def theory_corrmat_custom_dataspecs(theory_covmat_custom_dataspecs): - """Calculates the theory correlation matrix for scale variations - with variations by process type""" - mat = theory_corrmat(theory_covmat_custom_dataspecs) - return mat - -@figure -def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, theoryids): - """Matrix plot of the theory correlation matrix, correlations by process type""" - l = len(theoryids) - fig = plot_corrmat_heatmap(theory_corrmat_custom_dataspecs, - f"Theory correlation matrix for {l} points") - return fig - -def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector): - orig_matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) - # constructing shift vectors - scalevartheory_vectors = allthx_vector[0] - xs = [(thx_vector[0] - scalevarvector)/thx_vector[0] for scalevarvector in allthx_vector[0]] - # iteratively orthogonalising deltas - ys = [x/np.linalg.norm(x) for x in xs] - xdashs = [None]*len(ys) - for n, x in enumerate(xs): - sub_ys = ys[:n] - subtract_terms = [None]*len(sub_ys) - xlist = [x]*len(sub_ys) - for i in range(len(sub_ys)): - subtract_terms[i] = np.dot(sub_ys[i], np.dot(sub_ys[i].T, xlist[i])) - xdashs[n] = x - np.sum(subtract_terms, axis=0) - ys[n] = xdashs[n]/np.linalg.norm(xdashs[n]) -# xdash = xs[1] - ys[0]*np.dot(ys[0].T, xs[1])[0] -# ys[1] = xdash/np.linalg.norm(xdash) - P = np.column_stack(ys) - projected_matrix = np.dot(P.T, np.dot(orig_matrix, P)) - w, v_projected = la.eigh(projected_matrix) - v = np.dot(P, v_projected) - return w, v - -def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, - eigenvalue_cutoff:(bool, type(None)) = None): - if eigenvalue_cutoff == True: - matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) - w, v = la.eigh(matrix) - else: - w, v = evals_nonzero_basis - # Sorting real part of eigenvalues - w = np.real(w) - v = np.real(v) - sort_indices = np.argsort(w) - w = w[sort_indices] - v = v[:, sort_indices] - w_max = w[np.argmax(w)] - f = -shx_vector[0].values.T[0] - all_projectors = np.sum(f*v.T, axis=1) -# if num_evals is not None: -# w_nonzero = w[-num_evals:] -# nonzero_locs = range(len(w)-num_evals, len(w)) -# elif evalue_cutoff is not None: -# w_nonzero = w[w>evalue_cutoff*w_max] -# nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] - if eigenvalue_cutoff == True: - mod_larg_neg_eval = np.abs(w[0]) - nonzero_locs = np.nonzero(w>10*mod_larg_neg_eval)[0] - w_nonzero = [] - for loc in nonzero_locs: - if loc >=0: - w_nonzero.append(w[loc]) - # ^ taking 0th element to extract list from tuple - else: - nonzero_locs = range(len(w)) - w_nonzero = w[nonzero_locs] - v_nonzero = [] - for loc in nonzero_locs: - if loc >=0: - v_nonzero.append(v[:,loc]) - projectors = np.sum(f*v_nonzero, axis=1) - projected_evectors = np.zeros((len(projectors), (len(f)))) - for i in range(len(projectors)): - projected_evectors[i] = projectors[i]*v_nonzero[i] - fmiss = f - np.sum(projected_evectors, axis=0) - return w_nonzero, v_nonzero, projectors, f, fmiss, w_max, w, all_projectors - -def cutoff(theory_shift_test, eigenvalue_cutoff:(bool, type(None)) = None): - w_max = theory_shift_test[5] - if eigenvalue_cutoff == True: - cutoff = "10 times modulus of largest 'negative' eigenvalue" - else: - cutoff = "Eigenvalues determined by projection onto space of non-zero eigenvalues" - print(f"cutoff = {cutoff}") - return cutoff - -@table -def theory_covmat_eigenvalues(theory_shift_test): - w_nonzero, v_nonzero, projectors = theory_shift_test[:3] - s_scrambled = np.sqrt(np.abs(w_nonzero)) - projectors_scrambled = np.ndarray.tolist(projectors) - ratio_scrambled = projectors_scrambled/s_scrambled - table = pd.DataFrame([s_scrambled[::-1], projectors_scrambled[::-1], ratio_scrambled[::-1]], - index = [r'$s_a$', r'$\delta_a$', r'$\delta_a/s_a$']) - return table - -def efficiency(theory_shift_test): - f = theory_shift_test[3] - fmiss = theory_shift_test[4] - fmod = np.sqrt(np.sum(f**2)) - fmiss_mod = np.sqrt(np.sum(fmiss**2)) - efficiency = 1 - fmiss_mod/fmod - print(f"efficiency = {efficiency}") - return efficiency - -def maxrat(theory_shift_test): - f = theory_shift_test[3] - fmiss = theory_shift_test[4] - maxrat = np.max(np.abs(fmiss))/np.max(np.abs(f)) -# print(f"maxrat = {maxrat}") - return maxrat - -def validation_theory_chi2(theory_shift_test): - projectors = theory_shift_test[2] - evals = theory_shift_test[0] - ratio = projectors/np.sqrt(np.abs(evals)) - th_chi2 = 1/len(evals)*np.sum(ratio**2) - print(f"Theory chi2 = {th_chi2}") - return th_chi2 - -@figure -def projector_eigenvalue_ratio(theory_shift_test): - surviving_evals = theory_shift_test[0][::-1] - all_projectors = theory_shift_test[7][::-1] - all_evals = theory_shift_test[6][::-1] - ratio = np.abs(all_projectors)/np.sqrt(np.abs(all_evals)) - masked_evals = np.zeros((len(all_evals))) - for loc, eval in enumerate(all_evals): - if eval in surviving_evals: - masked_evals[loc] = eval - # num_evals_ignored = len(all_evals)-len(surviving_evals) - # # Ordering eigenvalues and their projectors at random - # randomise = np.arange(len(evals)) - # np.random.shuffle(randomise) - # evals = np.asarray(evals)[randomise] - # projectors = projectors[randomise] - # ratio = ratio[randomise] - fig, (ax1, ax2) = plt.subplots(2, figsize=(5,5)) - ax1.plot(np.abs(all_projectors), 'o', label = r'|$\delta_a$|') - ax1.plot(np.sqrt(np.abs(all_evals)), 'o', label = r'$|s_a|$') - ax1.plot(np.sqrt(np.abs(masked_evals)), 'o', label = r'surviving $|s_a|$', color='k') - ax2.plot(ratio, 'o', color="red") - ax1.set_title(f"Number of surviving eigenvalues = {len(surviving_evals)}", fontsize=10) - ax1.set_xlabel("a", fontsize=20) - ax1.set_yscale('log') - ax2.set_yscale('log') -# ax1.set_ylim([all_evals[np.argmin(np.sqrt(np.abs(all_evals)))], -# all_evals[np.argmax(np.sqrt(np.abs(all_evals)))]]) - ax1.legend() - # ax1.axvline(x=num_evals_ignored, color='k') - ax2.axhline(y=3, color='k', label=r'|$\delta_a$/$s_a$| = 3') - ax2.legend() - ax2.set_ylabel(r"|$\delta_a$/$s_a$|") - print(f"Subspace dimension = {len(all_evals)}") - return fig - -@figure -def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): - matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) - fnorm = -shx_vector[0] - sqrtdiags = np.sqrt(np.diag(matrix)) - fig, ax = plt.subplots(figsize=(20,10)) - ax.plot(sqrtdiags*100, '.-', label="Theory", color = "red") - ax.plot(fnorm.values*100, '.-', label="NNLO-NLO Shift", color = "black") - ticklocs, ticklabels = matrix_plot_labels(matrix) - plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=20) - ax.set_ylabel("% of central theory", fontsize=20) - ax.legend(fontsize=20) - return fig - diff --git a/validphys2/src/validphys/theorycovariance_output.py b/validphys2/src/validphys/theorycovariance_output.py new file mode 100644 index 0000000000..e7827631f1 --- /dev/null +++ b/validphys2/src/validphys/theorycovariance_output.py @@ -0,0 +1,262 @@ +# -*- coding: utf-8 -*- +""" +theorycovariance_output.py +Basic tools for plotting theory covariance matrices and their properties. +""" +from __future__ import generator_stop + +import logging + +import numpy as np +import scipy.linalg as la +import matplotlib.pyplot as plt +from matplotlib import cm, colors as mcolors + +from reportengine.figure import figure +from reportengine.table import table + +from validphys import plotutils +from validphys.theorycovariance import abs_chi2_data_theory_experiment, abs_chi2_data_theory_dataset + +from validphys.results import experiments_covmat, experiments_normcovmat, experiments_corrmat +from validphys.results import experiments_chi2_table + +from validphys.theorycovariance import theory_block_diag_covmat, theory_normblockcovmat, theory_covmat_custom, theory_normcovmat_custom +from validphys.theorycovariance import theory_blockcorrmat, theory_corrmat_custom +from validphys.theorycovariance import experimentsplusblocktheory_normcovmat, experimentsplustheory_normcovmat_custom +from validphys.theorycovariance import experimentsplusblocktheory_corrmat, experimentsplustheory_corrmat_custom + +log = logging.getLogger(__name__) + +@table +def experiments_chi2_table_theory(experiments, pdf, + abs_chi2_data_theory_experiment, + abs_chi2_data_theory_dataset): + """Same as experiments_chi2_table but including theory covariance matrix""" + return experiments_chi2_table(experiments, pdf, + abs_chi2_data_theory_experiment, + abs_chi2_data_theory_dataset) +@table +def experiments_chi2_table_diagtheory(experiments, pdf, + abs_chi2_data_diagtheory_experiment, + abs_chi2_data_diagtheory_dataset): + """Same as experiments_chi2_table but including + diagonal theory covariance matrix""" + return experiments_chi2_table(experiments, pdf, + abs_chi2_data_diagtheory_experiment, + abs_chi2_data_diagtheory_dataset) + +def matrix_plot_labels(df): + explabels = [x[0] for x in df.columns] + points = [x[2] for x in df.columns] + unique_exp = [] + unique_exp.append([explabels[0],points[0]]) + for x in range(len(explabels)-1): + if explabels[x+1] != explabels[x]: + unique_exp.append([explabels[x+1],x+1]) + ticklabels = [unique_exp[x][0] for x in range(len(unique_exp))] + startlocs = [unique_exp[x][1] for x in range(len(unique_exp))] + startlocs += [len(explabels)] + ticklocs = [0 for x in range(len(startlocs)-1)] + for i in range(len(startlocs)-1): + ticklocs[i] = 0.5*(startlocs[i+1]+startlocs[i]) + return ticklocs, ticklabels + +@figure +def plot_covmat_heatmap(covmat, title): + """Matrix plot of a covariance matrix""" + df = covmat + matrix = df.values + fig,ax = plt.subplots(figsize=(15,15)) + matrixplot = ax.matshow(100*matrix, + cmap=cm.Spectral_r, + norm=mcolors.SymLogNorm(linthresh=0.01, + linscale=10, + vmin=-100*matrix.max(), + vmax=100*matrix.max())) + fig.colorbar(matrixplot, label="% of data") + ax.set_title(title) + ticklocs, ticklabels = matrix_plot_labels(df) + plt.xticks(ticklocs, ticklabels, rotation=30, ha="right") + plt.gca().xaxis.tick_bottom() + plt.yticks(ticklocs, ticklabels) + return fig + +@figure +def plot_corrmat_heatmap(corrmat, title): + """Matrix plot of a correlation matrix""" + df = corrmat + matrix = df.values + fig, ax = plt.subplots(figsize=(15,15)) + matrixplot = ax.matshow(matrix, cmap=cm.Spectral_r, vmin=-1, vmax=1) + fig.colorbar(matrixplot) + ax.set_title(title) + ticklocs, ticklabels = matrix_plot_labels(df) + plt.xticks(ticklocs, ticklabels, rotation=30, ha="right") + plt.gca().xaxis.tick_bottom() + plt.yticks(ticklocs, ticklabels) + return fig + +@figure +def plot_normexpcovmat_heatmap(experiments_normcovmat): + """Matrix plot of the experiment covariance matrix normalised to data.""" + fig = plot_covmat_heatmap(experiments_normcovmat, + "Experiment covariance matrix") + return fig + +@figure +def plot_expcorrmat_heatmap(experiments_corrmat): + """Matrix plot of the experiment correlation matrix""" + fig = plot_corrmat_heatmap(experiments_corrmat, + "Experiment correlation matrix") + return fig + +@figure +def plot_normthblockcovmat_heatmap(theory_normblockcovmat): + """Matrix plot for block diagonal theory covariance matrix""" + fig = plot_covmat_heatmap(theory_normblockcovmat, + "Block diagonal theory covariance matrix by dataset") + return fig + +@figure +def plot_normthcovmat_heatmap_custom(theory_normcovmat_custom, theoryids): + """Matrix plot for block diagonal theory covariance matrix by process type""" + l = len(theoryids) + fig = plot_covmat_heatmap(theory_normcovmat_custom, + f"Theory covariance matrix for {l} points") + return fig + +@figure +def plot_thblockcorrmat_heatmap(theory_blockcorrmat): + """Matrix plot of the theory correlation matrix""" + fig = plot_corrmat_heatmap(theory_blockcorrmat, + "Theory correlation matrix block diagonal by dataset") + return fig + +@figure +def plot_thcorrmat_heatmap_custom(theory_corrmat_custom, theoryids): + """Matrix plot of the theory correlation matrix, correlations by process type""" + l = len(theoryids) + fig = plot_corrmat_heatmap(theory_corrmat_custom, + f"Theory correlation matrix for {l} points") + return fig + +@figure +def plot_normexpplusblockthcovmat_heatmap(experimentsplusblocktheory_normcovmat): + """Matrix plot of the exp + theory covariance matrix normalised to data""" + fig = plot_covmat_heatmap(experimentsplusblocktheory_normcovmat, + "Experiment + theory (block diagonal by dataset) covariance matrix") + return fig + +@figure +def plot_normexpplusthcovmat_heatmap_custom(experimentsplustheory_normcovmat_custom, theoryids): + """Matrix plot of the exp + theory covariance matrix normalised to data""" + l = len(theoryids) + fig = plot_covmat_heatmap(experimentsplustheory_normcovmat_custom, + f"Experiment + theory covariance matrix for {l} points") + return fig + +@figure +def plot_expplusblockthcorrmat_heatmap(experimentsplusblocktheory_corrmat): + """Matrix plot of the exp + theory correlation matrix""" + fig = plot_corrmat_heatmap(experimentsplusblocktheory_corrmat, + "Experiment + theory (block diagonal by dataset) correlation matrix") + return fig + +@figure +def plot_expplusthcorrmat_heatmap_custom(experimentsplustheory_corrmat_custom, theoryids): + """Matrix plot of the exp + theory correlation matrix""" + l = len(theoryids) + fig = plot_corrmat_heatmap(experimentsplustheory_corrmat_custom, + f"Experiment + theory correlation matrix for {l} points") + return fig + +@figure +def plot_blockcovdiff_heatmap(theory_block_diag_covmat, experiments_covmat): + """Matrix plot (thcov + expcov)/expcov""" + df = (theory_block_diag_covmat.as_matrix()+experiments_covmat.values + )/np.mean(experiments_covmat.values) + fig = plot_covmat_heatmap(df,"(Theory + experiment)/mean(experiment)" + + "for block diagonal theory covmat by dataset") + return fig + +@figure +def plot_covdiff_heatmap_custom(theory_covmat_custom, experiments_covmat, theoryids): + """Matrix plot (thcov + expcov)/expcov""" + l = len(theoryids) + df = (theory_covmat_custom+experiments_covmat + )/np.mean(experiments_covmat.values) + fig = plot_covmat_heatmap(df, + "(Theory + experiment)/mean(experiment)" + + f"covariance matrices for {l} points") + return fig + +@figure +def plot_diag_cov_comparison(theory_covmat_custom, experiments_covmat, experiments_data, theoryids): + """Plot of sqrt(cov_ii)/|data_i| for cov = exp, theory, exp+theory""" + l = len(theoryids) + data = np.abs(experiments_data) + df_theory = theory_covmat_custom + df_experiment = experiments_covmat + df_total = df_theory + df_experiment + sqrtdiags1 = np.sqrt(np.diag(df_theory.values)) + sqrtdiags2 = np.sqrt(np.diag(df_experiment.values)) + sqrtdiags3 = np.sqrt(np.diag(df_total.values)) + fig,ax = plt.subplots(figsize=(20,10)) + ax.plot((sqrtdiags2/data).values, '.', label="Experiment", color="orange") + ax.plot((sqrtdiags1/data).values, '.', label="Theory", color = "red") + ax.plot((sqrtdiags3/data).values, '.', label="Total", color = "blue") + ticklocs, ticklabels = matrix_plot_labels(df_experiment) + plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=6) + ax.set_ylabel(r"$\frac{\sqrt{cov_{ii}}}{|D_i|}$") + ax.set_ylim([0,0.5]) + ax.set_title(f"Square root of diagonal elements of covariances matrices for {l} points, " + + "normalised to absolute value of data") + ax.legend() + return fig + +@figure +def plot_diag_cov_impact(theory_covmat_custom, experiments_covmat, + experiments_data, theoryids): + """Plot ((expcov)^-1_ii)^-0.5 versus ((expcov + thcov)^-1_ii)^-0.5""" + l = len(theoryids) + data = experiments_data + df_theory = theory_covmat_custom + df_experiment = experiments_covmat + matrix_theory = df_theory.values + matrix_experiment = df_experiment.values + a = (np.diag(la.inv(matrix_experiment)))**(-0.5) + b = (np.diag(la.inv(matrix_theory+matrix_experiment)))**(-0.5) + fig,ax = plt.subplots() + ax.plot((a/data).values, '.', label="Experiment", color="orange") + ax.plot((b/data).values, '.', label="Experiment + Theory", color="mediumseagreen") + ticklocs, ticklabels = matrix_plot_labels(df_experiment) + plt.xticks(ticklocs, ticklabels, rotation="vertical") + ax.set_ylabel(r"$\frac{1}{D_i}\frac{1}{\sqrt{[cov^{-1}_]{ii}}}$") + ax.set_title(f"Diagonal impact of adding theory covariance matrix for {l} points") + ax.legend() + return fig + +@figure +def plot_datasets_chi2_theory(experiments, + each_dataset_chi2, + abs_chi2_data_theory_dataset): + """Plot the chi² of all datasets, before and after adding theory errors, with bars.""" + ds = iter(each_dataset_chi2) + dstheory = iter(abs_chi2_data_theory_dataset) + dschi2 = [] + dschi2theory = [] + xticks = [] + for experiment in experiments: + for dataset, dsres in zip(experiment, ds): + dschi2.append(dsres.central_result/dsres.ndata) + xticks.append(dataset.name) + for experiment in experiments: + for dataset, dsres in zip(experiment, dstheory): + dschi2theory.append(dsres.central_result/dsres.ndata) + plotvalues = np.stack((dschi2theory, dschi2)) + fig,ax = plotutils.barplot(plotvalues, collabels=xticks, + datalabels=["experiment + theory", "experiment"]) + ax.set_title(r"$\chi^2$ distribution for datasets") + ax.legend(fontsize=14) + return fig diff --git a/validphys2/src/validphys/theorycovariance_tests.py b/validphys2/src/validphys/theorycovariance_tests.py new file mode 100644 index 0000000000..fc7a6111b5 --- /dev/null +++ b/validphys2/src/validphys/theorycovariance_tests.py @@ -0,0 +1,607 @@ +# -*- coding: utf-8 -*- +""" +theorycovariance_tests.py +Tools for testing theory covariance matrices and their properties. +""" +from __future__ import generator_stop + +import logging + +from collections import namedtuple +import numpy as np +import scipy.linalg as la +import matplotlib.pyplot as plt +from matplotlib import cm +import pandas as pd + +from reportengine.checks import make_argcheck +from reportengine.figure import figure +from reportengine.table import table +from reportengine import collect + +from validphys.results import results +from validphys.checks import check_two_dataspecs +from validphys.theorycovariance import process_lookup, combine_by_type, process_starting_points +from validphys.theorycovariance import covmap, covs_pt_prescrip, theory_covmat_custom +from validphys.theorycovariance_output import matrix_plot_labels + +log = logging.getLogger(__name__) + +matched_dataspecs_results = collect('results', ['dataspecs']) + +@make_argcheck +def _check_valid_shift_matrix_threshold_method(shift_threshold:(int, float, None) = None, + method:(int, None) = None): + """Checks that a valid method 1 or 2 is chosen where a threshold for + removing elements of the shift correlation matrix has been specified""" + opts = {1,2} + if shift_threshold != None: + check(method is not None, "A threshold for removing elements of the " + "shift correlation matrix has been specified but no choice of " + "method (1 or 2) was provided") + check(method in opts, + "Invalid choice of method for removing shift correlation matrix " + "elements. Please choose 1 or 2.") + +LabeledShifts = namedtuple('LabeledShifts', + ('experiment_name', 'dataset_name', 'shifts')) +@check_two_dataspecs +def dataspecs_dataset_prediction_shift(matched_dataspecs_results, experiment_name, + dataset_name): + """Compute the differnce in theory predictions between two dataspecs. + This can be used in combination with `matched_datasets_from_dataspecs` + + It returns a ``LabeledShifts`` containing ``dataset_name``, + ``experiment_name`` and``shifts``. + """ + r1, r2 = matched_dataspecs_results + res = r1[1].central_value - r2[1].central_value + return LabeledShifts(dataset_name=dataset_name, + experiment_name=experiment_name, shifts=res) + +matched_dataspecs_dataset_prediction_shift = collect( + 'dataspecs_dataset_prediction_shift', ['dataspecs']) + + +#Not sure we want to export this, as it is 231 Mb... +#@table +@_check_valid_shift_matrix_threshold_method +def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, + matched_dataspecs_dataset_theory, + shift_threshold:(int, float, type(None)) = None, + method:(int, type(None)) = None): + """Produce a matrix out of the outer product of + ``dataspecs_dataset_prediction_shift``. The matrix will be a + pandas DataFrame, indexed similarly to ``experiments_index``. + Note that this produces the normalised shift matrix, i.e. it is + computed from shifts normalised to central theory.""" + all_shifts = np.concatenate( + [val.shifts for val in matched_dataspecs_dataset_prediction_shift]) + all_theory = np.concatenate( + [val.shifts for val in matched_dataspecs_dataset_theory]) + norm_shifts = all_shifts/all_theory + mat = np.outer(norm_shifts, norm_shifts) + for i, ival in enumerate(norm_shifts): + for j, jval in enumerate(norm_shifts): + if method == 1: + if (np.abs(ival) < shift_threshold) or (np.abs(jval) < shift_threshold): + mat[i][j] = 0 + elif mat[i][j] > 0: + mat[i][j] = 1 + else: + mat[i][j] = -1 + elif method == 2: + if (ival!=0) and (jval!=0): + if 1/shift_threshold <= np.abs(ival/jval) <= shift_threshold: + if mat[i][j] > 0: + mat[i][j] = 1 + else: + mat[i][j] = -1 + else: + mat[i][j] = 0 + else: + pass + #build index + expnames = np.concatenate([ + np.full(len(val.shifts), val.experiment_name, dtype=object) + for val in matched_dataspecs_dataset_prediction_shift + ]) + dsnames = np.concatenate([ + np.full(len(val.shifts), val.dataset_name, dtype=object) + for val in matched_dataspecs_dataset_prediction_shift + ]) + point_indexes = np.concatenate([ + np.arange(len(val.shifts)) + for val in matched_dataspecs_dataset_prediction_shift + ]) + + index = pd.MultiIndex.from_arrays( + [expnames, dsnames, point_indexes], + names=["Experiment name", "Dataset name", "Point"]) + + return pd.DataFrame(mat, columns=index, index=index) + +def shift_vector(matched_dataspecs_dataset_prediction_shift, + matched_dataspecs_dataset_theory): + all_shifts = np.concatenate( + [val.shifts for val in matched_dataspecs_dataset_prediction_shift]) + all_theory = np.concatenate( + [val.shifts for val in matched_dataspecs_dataset_theory]) + norm_shifts = all_shifts/all_theory + #build index + expnames = np.concatenate([ + np.full(len(val.shifts), val.experiment_name, dtype=object) + for val in matched_dataspecs_dataset_prediction_shift + ]) + dsnames = np.concatenate([ + np.full(len(val.shifts), val.dataset_name, dtype=object) + for val in matched_dataspecs_dataset_prediction_shift + ]) + point_indexes = np.concatenate([ + np.arange(len(val.shifts)) + for val in matched_dataspecs_dataset_prediction_shift + ]) + + index = pd.MultiIndex.from_arrays( + [expnames, dsnames, point_indexes], + names=["Experiment name", "Dataset name", "Point"]) + return pd.DataFrame(norm_shifts, index=index) + +def dataspecs_dataset_theory(matched_dataspecs_results, experiment_name, dataset_name): + central, *others = matched_dataspecs_results + res = central[1].central_value + return LabeledShifts(dataset_name=dataset_name, + experiment_name=experiment_name, shifts=res) + +matched_dataspecs_dataset_theory = collect('dataspecs_dataset_theory', ['dataspecs']) + +def theory_vector(matched_dataspecs_dataset_theory): + all_theory = np.concatenate( + [val.shifts for val in matched_dataspecs_dataset_theory]) + #build index + expnames = np.concatenate([ + np.full(len(val.shifts), val.experiment_name, dtype=object) + for val in matched_dataspecs_dataset_theory + ]) + dsnames = np.concatenate([ + np.full(len(val.shifts), val.dataset_name, dtype=object) + for val in matched_dataspecs_dataset_theory + ]) + point_indexes = np.concatenate([ + np.arange(len(val.shifts)) + for val in matched_dataspecs_dataset_theory + ]) + + index = pd.MultiIndex.from_arrays( + [expnames, dsnames, point_indexes], + names=["Experiment name", "Dataset name", "Point"]) + return pd.DataFrame(all_theory, index=index) + +def dataspecs_dataset_alltheory(matched_dataspecs_results, experiment_name, dataset_name): + central, *others = matched_dataspecs_results + res = [other[1].central_value for other in others] + return LabeledShifts(dataset_name=dataset_name, + experiment_name=experiment_name, shifts=res) + +matched_dataspecs_dataset_alltheory = collect('dataspecs_dataset_alltheory', ['dataspecs']) + +def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_dataset_theory): + all_theory = np.concatenate( + [val.shifts for val in matched_dataspecs_dataset_alltheory], axis=1) + expnames = np.concatenate([ + np.full(len(val.shifts), + val.experiment_name, dtype=object) + for val in matched_dataspecs_dataset_theory + ]) + dsnames = np.concatenate([ + np.full(len(val.shifts), + val.dataset_name, dtype=object) + for val in matched_dataspecs_dataset_theory + ]) + point_indexes = np.concatenate([ + np.arange(len(val.shifts)) + for val in matched_dataspecs_dataset_theory + ]) + index = pd.MultiIndex.from_arrays( + [expnames, dsnames, point_indexes], + names=["Experiment name", "Dataset name", "Point"]) + theory_vectors = [] + for theoryvector in all_theory: + theory_vectors.append(pd.DataFrame(theoryvector, index=index)) + return theory_vectors + + +@figure +def plot_matched_datasets_shift_matrix(matched_datasets_shift_matrix): + """Heatmap plot of matched_datasets_shift_matrix""" + return plot_covmat_heatmap(matched_datasets_shift_matrix, + + "Shift outer product matrix") + +@table +def matched_datasets_shift_matrix_correlations(matched_datasets_shift_matrix): + mat = matched_datasets_shift_matrix.values + diag_minus_half = (np.diagonal(mat))**(-0.5) + corrmat = diag_minus_half[:, np.newaxis] * mat * diag_minus_half + corrmat = pd.DataFrame( + corrmat, + columns=matched_datasets_shift_matrix.columns, + index=matched_datasets_shift_matrix.index) + return corrmat + +@figure +def plot_matched_datasets_shift_matrix_correlations( + matched_datasets_shift_matrix): + """Heatmap plot of the correlations of + matched_datasets_shift_matrix. By construction these are + zero or one.""" + corrmat = matched_datasets_shift_matrix_correlations + return plot_corrmat_heatmap( + corrmat, "Shift outer product normalized (correlation) matrix") + +all_matched_results = collect('matched_dataspecs_results', + ['dataspecs']) + +def combine_by_type_dataspecs(process_lookup, all_matched_results, matched_dataspecs_dataset_name): + return combine_by_type(process_lookup, all_matched_results, matched_dataspecs_dataset_name) + +datapsecs_theoryids = collect('theoryid', ['theoryconfig', 'original', 'dataspecs']) + +def process_starting_points_dataspecs(combine_by_type_dataspecs): + return process_starting_points(combine_by_type_dataspecs) + +@make_argcheck +def _check_correct_theory_combination_dataspecs(datapsecs_theoryids, + fivetheories): + return _check_correct_theory_combination.__wrapped__( + datapsecs_theoryids, fivetheories) + +#@_check_correct_theory_combination_dataspecs +def covs_pt_prescrip_dataspecs(combine_by_type_dataspecs, + process_starting_points_dataspecs, + datapsecs_theoryids, + fivetheories: (str, type(None)) = None): + return covs_pt_prescrip(combine_by_type_dataspecs, process_starting_points_dataspecs, + datapsecs_theoryids, fivetheories) + +def covmap_dataspecs(combine_by_type_dataspecs, matched_dataspecs_dataset_name): + return covmap(combine_by_type_dataspecs, matched_dataspecs_dataset_name) + +matched_dataspecs_experiment_name = collect( + 'experiment_name', ['dataspecs']) +matched_dataspecs_dataset_name = collect( + 'dataset_name', ['dataspecs']) +matched_cuts_datasets = collect('dataset', ['dataspecs']) +all_matched_datasets = collect('matched_cuts_datasets', + ['dataspecs']) + + +def all_matched_data_lengths(all_matched_datasets): + lens = [] + for rlist in all_matched_datasets: + lens.append(rlist[0].load().GetNData()) + return lens + +def matched_experiments_index(matched_dataspecs_experiment_name, + matched_dataspecs_dataset_name, + all_matched_data_lengths): + + enames = matched_dataspecs_experiment_name + dsnames = matched_dataspecs_dataset_name + lens = all_matched_data_lengths + #build index + expnames = np.concatenate([ + np.full(l, ename, dtype=object) + for (l, ename) in zip(lens, enames) + ]) + dsnames = np.concatenate([ + np.full(l, dsname, dtype=object) + for (l, dsname) in zip(lens, dsnames) + ]) + point_indexes = np.concatenate([ + np.arange(l) + for l in lens + ]) + + index = pd.MultiIndex.from_arrays( + [expnames, dsnames, point_indexes], + names=["Experiment name", "Dataset name", "Point"]) + return index + +@table +def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, + matched_experiments_index): + return theory_covmat_custom(covs_pt_prescrip_dataspecs, covmap_dataspecs, + matched_experiments_index) + +thx_corrmat = collect('theory_corrmat_custom_dataspecs', + ['combined_shift_and_theory_dataspecs', 'theoryconfig']) + +shx_corrmat = collect('matched_datasets_shift_matrix_correlations', + ['combined_shift_and_theory_dataspecs', 'shiftconfig']) + +thx_covmat = collect('theory_covmat_custom_dataspecs', + ['combined_shift_and_theory_dataspecs', 'theoryconfig']) + +combined_dataspecs_results = collect('all_matched_results', + ['combined_shift_and_theory_dataspecs', 'theoryconfig']) + +shx_vector = collect('shift_vector', ['combined_shift_and_theory_dataspecs', 'shiftconfig']) + +thx_vector = collect('theory_vector', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) + +allthx_vector = collect('alltheory_vector', ['combined_shift_and_theory_dataspecs', 'theoryconfig']) + +def theory_matrix_threshold(theory_threshold:(int, float) = 0): + """Returns the threshold below which theory correlation elements are set to + zero when comparing to shift correlation matrix""" + return theory_threshold + +@table +def shift_to_theory_ratio(thx_corrmat, shx_corrmat): + ratio = (thx_corrmat[0]/shx_corrmat[0]).fillna(0) + return ratio + +@figure +def shift_to_theory_ratio_plot(shift_to_theory_ratio): + matrix = shift_to_theory_ratio + matrix[((matrix==np.inf) | (matrix==-np.inf))] = 0 +# bins = np.linspace(-1, 1, num=21) +# digmatrix = np.digitize(matrix, bins) +# symdigmatrix = np.zeros((len(digmatrix), len(digmatrix))) +# for binnumber in range(len(bins)): +# symdigmatrix[digmatrix==binnumber+1] = bins[binnumber] + fig, ax = plt.subplots(figsize=(15,15)) + matrixplot = ax.matshow(matrix, cmap=cm.Spectral_r) + fig.colorbar(matrixplot) + ax.set_title("Ratio of theory to shift correlation matrices") + ticklocs, ticklabels = matrix_plot_labels(matrix) + plt.xticks(ticklocs, ticklabels, rotation=30, ha="right") + plt.gca().xaxis.tick_bottom() + plt.yticks(ticklocs, ticklabels) + return fig + +@figure +def shift_corrmat_plot(shx_corrmat): + # removing nans and setting them to 0 + fig = plot_corrmat_heatmap(shx_corrmat[0].fillna(0), + "Shift correlation matrix") + return fig + +@figure +def theory_corrmat_plot(thx_corrmat): + fig = plot_corrmat_heatmap(thx_corrmat[0], + "Theory correlation matrix") + return fig + +@table +def shift_corrmat_value_fractions(shx_corrmat): + mat = shx_corrmat[0].fillna(0).values + matsize = np.size(mat) + fracplus = 100*np.size(np.where(mat>0))/(2*matsize) + fracminus = 100*np.size(np.where(mat<0))/(2*matsize) + fraczero = 100*np.size(np.where(mat==0))/(2*matsize) + table = pd.DataFrame([fracplus, fracminus, fraczero], + index=[r'$f_{\rho=+1}$', + r'$f_{\rho=-1}$', + r'$f_{\rho=0}$'], + columns = ["% of total entries"]) + return table + +@table +def theory_corrmat_value_fractions(thx_corrmat, + theory_threshold:(int, float) = 0): + mat = thx_corrmat[0].values + newmat = np.zeros((len(mat),len(mat))) + #coarse graining for comparison + newmat[mat>=theory_threshold]=1 + newmat[mat<=-theory_threshold]=-1 +# mask = ((mat!=-1) & (mat!=1)) +# mat[mask]=0 + matsize = np.size(mat) + fracplus = 100*np.size(np.where(newmat>0))/(2*matsize) + fracminus = 100*np.size(np.where(newmat<0))/(2*matsize) + fraczero = 100*np.size(np.where(newmat==0))/(2*matsize) + table = pd.DataFrame([fracplus, fracminus, fraczero], + index=[r'$\tilde{f}_{\rho=+1}$', + r'$\tilde{f}_{\rho=-1}$', + r'$\tilde{f}_{\rho=0}$'], + columns = ["% of total entries"]) + return table + +@table +def shift_theory_element_comparison(shx_corrmat, thx_corrmat, + theory_threshold:(int, float) = 0): + #coarse graining for comparison + thmat = thx_corrmat[0].values + newthmat = np.zeros((len(thmat),len(thmat))) + newthmat[thmat>=theory_threshold]=1 + newthmat[thmat<=-theory_threshold]=-1 +# mask = ((thmat!=-1) & (thmat!=1)) +# thmat[mask]=0 + shmat = shx_corrmat[0].fillna(0).values + num_non_zero = np.size(np.where(shmat!=0))/2 + fracsame = 100*np.size(np.where((shmat==newthmat) & (shmat!=0)))/(2*num_non_zero) + fracdiff = 100*np.size(np.where((shmat!=newthmat) & (shmat!=0)))/(2*num_non_zero) + table = pd.DataFrame([fracsame, fracdiff], + index=['same sign', + 'different signs'], + columns = ["% of total entries (where shift matrix is non-zero)"]) + return table + + +@table +def theory_corrmat_custom_dataspecs(theory_covmat_custom_dataspecs): + """Calculates the theory correlation matrix for scale variations + with variations by process type""" + mat = theory_corrmat(theory_covmat_custom_dataspecs) + return mat + +@figure +def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, theoryids): + """Matrix plot of the theory correlation matrix, correlations by process type""" + l = len(theoryids) + fig = plot_corrmat_heatmap(theory_corrmat_custom_dataspecs, + f"Theory correlation matrix for {l} points") + return fig + +def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector): + orig_matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) + # constructing shift vectors + scalevartheory_vectors = allthx_vector[0] + xs = [(thx_vector[0] - scalevarvector)/thx_vector[0] for scalevarvector in allthx_vector[0]] + # iteratively orthogonalising deltas + ys = [x/np.linalg.norm(x) for x in xs] + xdashs = [None]*len(ys) + for n, x in enumerate(xs): + sub_ys = ys[:n] + subtract_terms = [None]*len(sub_ys) + xlist = [x]*len(sub_ys) + for i in range(len(sub_ys)): + subtract_terms[i] = np.dot(sub_ys[i], np.dot(sub_ys[i].T, xlist[i])) + xdashs[n] = x - np.sum(subtract_terms, axis=0) + ys[n] = xdashs[n]/np.linalg.norm(xdashs[n]) +# xdash = xs[1] - ys[0]*np.dot(ys[0].T, xs[1])[0] +# ys[1] = xdash/np.linalg.norm(xdash) + P = np.column_stack(ys) + projected_matrix = np.dot(P.T, np.dot(orig_matrix, P)) + w, v_projected = la.eigh(projected_matrix) + v = np.dot(P, v_projected) + return w, v + +def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, + eigenvalue_cutoff:(bool, type(None)) = None): + if eigenvalue_cutoff == True: + matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) + w, v = la.eigh(matrix) + else: + w, v = evals_nonzero_basis + # Sorting real part of eigenvalues + w = np.real(w) + v = np.real(v) + sort_indices = np.argsort(w) + w = w[sort_indices] + v = v[:, sort_indices] + w_max = w[np.argmax(w)] + f = -shx_vector[0].values.T[0] + all_projectors = np.sum(f*v.T, axis=1) +# if num_evals is not None: +# w_nonzero = w[-num_evals:] +# nonzero_locs = range(len(w)-num_evals, len(w)) +# elif evalue_cutoff is not None: +# w_nonzero = w[w>evalue_cutoff*w_max] +# nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] + if eigenvalue_cutoff == True: + mod_larg_neg_eval = np.abs(w[0]) + nonzero_locs = np.nonzero(w>10*mod_larg_neg_eval)[0] + w_nonzero = [] + for loc in nonzero_locs: + if loc >=0: + w_nonzero.append(w[loc]) + # ^ taking 0th element to extract list from tuple + else: + nonzero_locs = range(len(w)) + w_nonzero = w[nonzero_locs] + v_nonzero = [] + for loc in nonzero_locs: + if loc >=0: + v_nonzero.append(v[:,loc]) + projectors = np.sum(f*v_nonzero, axis=1) + projected_evectors = np.zeros((len(projectors), (len(f)))) + for i in range(len(projectors)): + projected_evectors[i] = projectors[i]*v_nonzero[i] + fmiss = f - np.sum(projected_evectors, axis=0) + return w_nonzero, v_nonzero, projectors, f, fmiss, w_max, w, all_projectors + +def cutoff(theory_shift_test, eigenvalue_cutoff:(bool, type(None)) = None): + w_max = theory_shift_test[5] + if eigenvalue_cutoff == True: + cutoff = "10 times modulus of largest 'negative' eigenvalue" + else: + cutoff = "Eigenvalues determined by projection onto space of non-zero eigenvalues" + print(f"cutoff = {cutoff}") + return cutoff + +@table +def theory_covmat_eigenvalues(theory_shift_test): + w_nonzero, v_nonzero, projectors = theory_shift_test[:3] + s_scrambled = np.sqrt(np.abs(w_nonzero)) + projectors_scrambled = np.ndarray.tolist(projectors) + ratio_scrambled = projectors_scrambled/s_scrambled + table = pd.DataFrame([s_scrambled[::-1], projectors_scrambled[::-1], ratio_scrambled[::-1]], + index = [r'$s_a$', r'$\delta_a$', r'$\delta_a/s_a$']) + return table + +def efficiency(theory_shift_test): + f = theory_shift_test[3] + fmiss = theory_shift_test[4] + fmod = np.sqrt(np.sum(f**2)) + fmiss_mod = np.sqrt(np.sum(fmiss**2)) + efficiency = 1 - fmiss_mod/fmod + print(f"efficiency = {efficiency}") + return efficiency + +def maxrat(theory_shift_test): + f = theory_shift_test[3] + fmiss = theory_shift_test[4] + maxrat = np.max(np.abs(fmiss))/np.max(np.abs(f)) +# print(f"maxrat = {maxrat}") + return maxrat + +def validation_theory_chi2(theory_shift_test): + projectors = theory_shift_test[2] + evals = theory_shift_test[0] + ratio = projectors/np.sqrt(np.abs(evals)) + th_chi2 = 1/len(evals)*np.sum(ratio**2) + print(f"Theory chi2 = {th_chi2}") + return th_chi2 + +@figure +def projector_eigenvalue_ratio(theory_shift_test): + surviving_evals = theory_shift_test[0][::-1] + all_projectors = theory_shift_test[7][::-1] + all_evals = theory_shift_test[6][::-1] + ratio = np.abs(all_projectors)/np.sqrt(np.abs(all_evals)) + masked_evals = np.zeros((len(all_evals))) + for loc, eval in enumerate(all_evals): + if eval in surviving_evals: + masked_evals[loc] = eval + # num_evals_ignored = len(all_evals)-len(surviving_evals) + # # Ordering eigenvalues and their projectors at random + # randomise = np.arange(len(evals)) + # np.random.shuffle(randomise) + # evals = np.asarray(evals)[randomise] + # projectors = projectors[randomise] + # ratio = ratio[randomise] + fig, (ax1, ax2) = plt.subplots(2, figsize=(5,5)) + ax1.plot(np.abs(all_projectors), 'o', label = r'|$\delta_a$|') + ax1.plot(np.sqrt(np.abs(all_evals)), 'o', label = r'$|s_a|$') + ax1.plot(np.sqrt(np.abs(masked_evals)), 'o', label = r'surviving $|s_a|$', color='k') + ax2.plot(ratio, 'o', color="red") + ax1.set_title(f"Number of surviving eigenvalues = {len(surviving_evals)}", fontsize=10) + ax1.set_xlabel("a", fontsize=20) + ax1.set_yscale('log') + ax2.set_yscale('log') +# ax1.set_ylim([all_evals[np.argmin(np.sqrt(np.abs(all_evals)))], +# all_evals[np.argmax(np.sqrt(np.abs(all_evals)))]]) + ax1.legend() + # ax1.axvline(x=num_evals_ignored, color='k') + ax2.axhline(y=3, color='k', label=r'|$\delta_a$/$s_a$| = 3') + ax2.legend() + ax2.set_ylabel(r"|$\delta_a$/$s_a$|") + print(f"Subspace dimension = {len(all_evals)}") + return fig + +@figure +def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): + matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) + fnorm = -shx_vector[0] + sqrtdiags = np.sqrt(np.diag(matrix)) + fig, ax = plt.subplots(figsize=(20,10)) + ax.plot(sqrtdiags*100, '.-', label="Theory", color = "red") + ax.plot(fnorm.values*100, '.-', label="NNLO-NLO Shift", color = "black") + ticklocs, ticklabels = matrix_plot_labels(matrix) + plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=20) + ax.set_ylabel("% of central theory", fontsize=20) + ax.legend(fontsize=20) + return fig From 0aafe4d1d50908f6f91f58abf8e961d997fc5664 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 16 Jan 2019 15:50:33 +0000 Subject: [PATCH 109/429] Only add sampling_covmat and fitting_covmat to actions_ if theorycovmatconfig specified in config --- validphys2/src/validphys/scripts/vp_setupfit.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index 320ed951c5..9828100cd3 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -44,8 +44,6 @@ 'datacuts check_t0pdfset', 'theory check_positivity', 'Nocuts::datacuts::closuretest::theory::fitting filter', - 'datacuts::theory::theorycovmatconfig::sampling_t0 sampling_covmat', - 'datacuts::theory::theorycovmatconfig::fitting_t0 fitting_covmat', ]) SETUPFIT_PROVIDERS = ['validphys.filters', @@ -125,6 +123,9 @@ def from_yaml(cls, o, *args, **kwargs): if not isinstance(file_content, dict): raise ConfigError(f"Expecting input runcard to be a mapping, " f"not '{type(file_content)}'.") + if file_content.get('theorycovmatconfig') is not None: + SETUPFIT_FIXED_CONFIG['actions_'].append('datacuts::theory::theorycovmatconfig::sampling_t0 sampling_covmat') + SETUPFIT_FIXED_CONFIG['actions_'].append('datacuts::theory::theorycovmatconfig::fitting_t0 fitting_covmat') file_content.update(SETUPFIT_FIXED_CONFIG) return cls(file_content, *args, **kwargs) From 183eea57fd5d14ba7973a6e5e90fd859bb4ac944 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 16 Jan 2019 16:13:16 +0000 Subject: [PATCH 110/429] Rename read_total_covmat as read_theory_covmat --- libnnpdf/src/NNPDF/chisquared.h | 2 +- libnnpdf/src/chisquared.cc | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/libnnpdf/src/NNPDF/chisquared.h b/libnnpdf/src/NNPDF/chisquared.h index 2593031987..a383d63c98 100644 --- a/libnnpdf/src/NNPDF/chisquared.h +++ b/libnnpdf/src/NNPDF/chisquared.h @@ -31,7 +31,7 @@ namespace NNPDF{ double weight=1.); matrix ComputeSqrtMat(matrix const& inmatrix); matrix ComputeSqrtMatSVD(matrix const& inmatrix); - matrix read_total_covmat(int ndata, const std::string filename, std::vector bmask); + matrix read_theory_covmat(int ndata, const std::string filename, std::vector bmask); void ComputeChi2_basic(int const nDat, int const nMem, const double* data, matrix const& L, diff --git a/libnnpdf/src/chisquared.cc b/libnnpdf/src/chisquared.cc index 13dd1a02dc..bd7c1d7f7f 100644 --- a/libnnpdf/src/chisquared.cc +++ b/libnnpdf/src/chisquared.cc @@ -56,7 +56,7 @@ namespace NNPDF auto ThCovMat = NNPDF::matrix(ndat, ndat); if(th_cov_matrix) - ThCovMat = read_total_covmat(ndat, filename, bmask); + ThCovMat = read_theory_covmat(ndat, filename, bmask); for (int i = 0; i < ndat; i++) @@ -227,7 +227,7 @@ namespace NNPDF /* * Reads in covariance matrix for an experiment from pandas dataframe */ - matrix read_total_covmat(int ndata, const std::string filename, std::vector bmask = {}) + matrix read_theory_covmat(int ndata, const std::string filename, std::vector bmask = {}) { // open file ifstream file(filename.c_str()); @@ -243,7 +243,7 @@ namespace NNPDF if (!bmask.empty()) { if(std::accumulate(bmask.begin(), bmask.end(), 0) != ndata) - throw RuntimeException("read_total_covmat", "wrong mask size."); + throw RuntimeException("read_theory_covmat", "wrong mask size."); file_matrix_size = bmask.size(); } From 0d8ecc9b50c36c549d54779aee8ab2f6cfb4ef05 Mon Sep 17 00:00:00 2001 From: tgiani Date: Fri, 18 Jan 2019 12:25:55 +0000 Subject: [PATCH 111/429] reintroducing nnpdf31 th error and removing SVD algorithm --- libnnpdf/src/NNPDF/chisquared.h | 1 - libnnpdf/src/chisquared.cc | 39 --------------------------------- libnnpdf/src/experiments.cc | 2 +- 3 files changed, 1 insertion(+), 41 deletions(-) diff --git a/libnnpdf/src/NNPDF/chisquared.h b/libnnpdf/src/NNPDF/chisquared.h index a383d63c98..295501b4be 100644 --- a/libnnpdf/src/NNPDF/chisquared.h +++ b/libnnpdf/src/NNPDF/chisquared.h @@ -30,7 +30,6 @@ namespace NNPDF{ std::vector bmask = {}, double weight=1.); matrix ComputeSqrtMat(matrix const& inmatrix); - matrix ComputeSqrtMatSVD(matrix const& inmatrix); matrix read_theory_covmat(int ndata, const std::string filename, std::vector bmask); void ComputeChi2_basic(int const nDat, int const nMem, diff --git a/libnnpdf/src/chisquared.cc b/libnnpdf/src/chisquared.cc index bd7c1d7f7f..65e4a2e573 100644 --- a/libnnpdf/src/chisquared.cc +++ b/libnnpdf/src/chisquared.cc @@ -151,45 +151,6 @@ namespace NNPDF } - matrix ComputeSqrtMatSVD(matrix const& inmatrix) - { - const size_t n = inmatrix.size(0); - if (n <= 0) - throw LengthError("SVD","attempting a decomposition of an empty matrix!"); - - gsl_matrix_const_view inmatrix_view = gsl_matrix_const_view_array(inmatrix.data(), n, n); - const gsl_matrix *inmatrix_gsl = &(inmatrix_view.matrix); - - // Copy the input matrix - matrix A(n,n); - gsl_matrix_view A_view = gsl_matrix_view_array(A.data(), n, n); - gsl_matrix *A_gsl = &(A_view.matrix); - - const int copy = gsl_matrix_memcpy (A_gsl, inmatrix_gsl); - if (copy != 0 ) throw RuntimeException("SVD", "Error encountered in gsl matrix copy"); - - // Define the objects required by the SVD function - gsl_matrix *V = gsl_matrix_calloc (n, n); - gsl_vector *S = gsl_vector_calloc (n); - gsl_vector *w = gsl_vector_calloc (n); - - const int decomp = gsl_linalg_SV_decomp(A_gsl, V, S, w); - if (decomp != 0 ) throw RuntimeException("SVD", "Error encountered in gsl decomposition"); - - for ( int i = 0; i < n; i++ ) - for ( int j = 0; j < n; j++ ) - A(i,j) = gsl_matrix_get(A_gsl, i,j)*sqrt( gsl_vector_get(S,j) ); - - gsl_matrix_free(V); - gsl_vector_free(S); - gsl_vector_free(w); - - return A; - - } - - - // TODO to sort this out, need to make data and theory vectors void ComputeChi2_basic(int const nDat, int const nMem, const double* data, matrix const& L, diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index 5e0d08ef9b..4a8aa6e197 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -461,7 +461,7 @@ void Experiment::LoadRepCovMat(string filename, std::vector bmask) */ void Experiment::LoadFitCovMat(string filename, std::vector bmask) { - fCovMat = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, true, false, true, filename, bmask); + fCovMat = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, true, true, true, filename, bmask); fSqrtCov = ComputeSqrtMat(fCovMat); } From 05b918662359b5a24a5813fb0e72818d2c1150f4 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 23 Jan 2019 17:01:17 +0000 Subject: [PATCH 112/429] Move theorycovariance files to their own package --- validphys2/src/validphys/theorycovariance/__init__.py | 8 ++++++++ .../construction.py} | 4 ++-- .../output.py} | 2 +- .../tests.py} | 2 +- 4 files changed, 12 insertions(+), 4 deletions(-) create mode 100644 validphys2/src/validphys/theorycovariance/__init__.py rename validphys2/src/validphys/{theorycovariance.py => theorycovariance/construction.py} (99%) rename validphys2/src/validphys/{theorycovariance_output.py => theorycovariance/output.py} (99%) rename validphys2/src/validphys/{theorycovariance_tests.py => theorycovariance/tests.py} (99%) diff --git a/validphys2/src/validphys/theorycovariance/__init__.py b/validphys2/src/validphys/theorycovariance/__init__.py new file mode 100644 index 0000000000..9efd5cd59a --- /dev/null +++ b/validphys2/src/validphys/theorycovariance/__init__.py @@ -0,0 +1,8 @@ +""" +theorycovariance + + +Tools for constructing and studying theory covariance matrices. + +This package contains tools for constructing covariance matrices and computing their chi2s in construction.py, tools for plotting covariance matrices and tabulating their properties in output.py, and tools for testing their properties in tests.py. +""" diff --git a/validphys2/src/validphys/theorycovariance.py b/validphys2/src/validphys/theorycovariance/construction.py similarity index 99% rename from validphys2/src/validphys/theorycovariance.py rename to validphys2/src/validphys/theorycovariance/construction.py index acd4e4618c..80b8afa7a7 100644 --- a/validphys2/src/validphys/theorycovariance.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -1,7 +1,7 @@ # -*- coding: utf-8 -*- """ -theorycovariance.py -Tools for constructing and studying theory covariance matrices. +construction.py +Tools for constructing theory covariance matrices and computing their chi2s. """ from __future__ import generator_stop diff --git a/validphys2/src/validphys/theorycovariance_output.py b/validphys2/src/validphys/theorycovariance/output.py similarity index 99% rename from validphys2/src/validphys/theorycovariance_output.py rename to validphys2/src/validphys/theorycovariance/output.py index e7827631f1..b29de0a969 100644 --- a/validphys2/src/validphys/theorycovariance_output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- """ -theorycovariance_output.py +output.py Basic tools for plotting theory covariance matrices and their properties. """ from __future__ import generator_stop diff --git a/validphys2/src/validphys/theorycovariance_tests.py b/validphys2/src/validphys/theorycovariance/tests.py similarity index 99% rename from validphys2/src/validphys/theorycovariance_tests.py rename to validphys2/src/validphys/theorycovariance/tests.py index fc7a6111b5..6a08dd687c 100644 --- a/validphys2/src/validphys/theorycovariance_tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- """ -theorycovariance_tests.py +tests.py Tools for testing theory covariance matrices and their properties. """ from __future__ import generator_stop From fdae1b9b726f0816d5bb79c0d7228fd3cabf7f21 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 23 Jan 2019 17:11:38 +0000 Subject: [PATCH 113/429] Update import locations --- validphys2/src/validphys/theorycovariance/output.py | 10 +++++----- validphys2/src/validphys/theorycovariance/tests.py | 6 +++--- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index b29de0a969..426a2bde8c 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -16,15 +16,15 @@ from reportengine.table import table from validphys import plotutils -from validphys.theorycovariance import abs_chi2_data_theory_experiment, abs_chi2_data_theory_dataset +from validphys.theorycovariance.construction import abs_chi2_data_theory_experiment, abs_chi2_data_theory_dataset from validphys.results import experiments_covmat, experiments_normcovmat, experiments_corrmat from validphys.results import experiments_chi2_table -from validphys.theorycovariance import theory_block_diag_covmat, theory_normblockcovmat, theory_covmat_custom, theory_normcovmat_custom -from validphys.theorycovariance import theory_blockcorrmat, theory_corrmat_custom -from validphys.theorycovariance import experimentsplusblocktheory_normcovmat, experimentsplustheory_normcovmat_custom -from validphys.theorycovariance import experimentsplusblocktheory_corrmat, experimentsplustheory_corrmat_custom +from validphys.theorycovariance.construction import theory_block_diag_covmat, theory_normblockcovmat, theory_covmat_custom, theory_normcovmat_custom +from validphys.theorycovariance.construction import theory_blockcorrmat, theory_corrmat_custom +from validphys.theorycovariance.construction import experimentsplusblocktheory_normcovmat, experimentsplustheory_normcovmat_custom +from validphys.theorycovariance.construction import experimentsplusblocktheory_corrmat, experimentsplustheory_corrmat_custom log = logging.getLogger(__name__) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 6a08dd687c..90abc4a987 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -21,9 +21,9 @@ from validphys.results import results from validphys.checks import check_two_dataspecs -from validphys.theorycovariance import process_lookup, combine_by_type, process_starting_points -from validphys.theorycovariance import covmap, covs_pt_prescrip, theory_covmat_custom -from validphys.theorycovariance_output import matrix_plot_labels +from validphys.theorycovariance.construction import process_lookup, combine_by_type, process_starting_points +from validphys.theorycovariance.construction import covmap, covs_pt_prescrip, theory_covmat_custom +from validphys.theorycovariance.output import matrix_plot_labels log = logging.getLogger(__name__) From 3c66e3484aa5c36757c2fd651938518345dd2535 Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Thu, 24 Jan 2019 15:47:26 +0100 Subject: [PATCH 114/429] fixing nnfit stop when theorycovmatconfig tag is not present in the runcard --- nnpdfcpp/src/common/src/nnpdfsettings.cc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nnpdfcpp/src/common/src/nnpdfsettings.cc b/nnpdfcpp/src/common/src/nnpdfsettings.cc index 4c42ccf519..1ad7798a45 100644 --- a/nnpdfcpp/src/common/src/nnpdfsettings.cc +++ b/nnpdfcpp/src/common/src/nnpdfsettings.cc @@ -186,7 +186,7 @@ NNPDFSettings::NNPDFSettings(const string &folder): fTheoryDir = td.str(); // Check if theory uncertainties are used - if (Exists("theorycovmatconfig","theoryids")) + if (Exists("theorycovmatconfig")) fThUncertainties = true; // load theory map From 24c3d6b9c3cc72dd2a5319c69756b63d03d26f0e Mon Sep 17 00:00:00 2001 From: tgiani Date: Fri, 25 Jan 2019 17:12:47 +0000 Subject: [PATCH 115/429] keeping consistent labels between exp and th cov matrices when performing tr val split --- nnpdfcpp/src/nnfit/src/nnfit.cc | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/nnpdfcpp/src/nnfit/src/nnfit.cc b/nnpdfcpp/src/nnfit/src/nnfit.cc index eddbe92496..e875cc230f 100644 --- a/nnpdfcpp/src/nnfit/src/nnfit.cc +++ b/nnpdfcpp/src/nnfit/src/nnfit.cc @@ -514,8 +514,11 @@ void TrainValidSplit(NNPDFSettings const& settings, for (int i = 0; i < set.GetNData(); i++) mask.push_back(i); RandomGenerator::GetRNG()->ShuffleVector(mask); - const vector trMaskset(mask.begin(), mask.begin() + trMax); - const vector valMaskset(mask.begin() + trMax, mask.end()); + vector trMaskset(mask.begin(), mask.begin() + trMax); + vector valMaskset(mask.begin() + trMax, mask.end()); + + std::sort(trMaskset.begin(), trMaskset.end()); + std::sort(valMaskset.begin(), valMaskset.end()); if (settings.IsThUncertainties()) { From 27691782d0c86eaf3e965721a1ca9a4d70a0303a Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Tue, 29 Jan 2019 10:28:21 +0000 Subject: [PATCH 116/429] Remove embed import --- validphys2/src/validphys/config.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index dd94980d65..4245e7ce25 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -30,8 +30,6 @@ log = logging.getLogger(__name__) -from IPython import embed - class Environment(Environment): """Container for information to be filled at run time""" From 0c1e67d0650a9746dd7b7750e360658274d7eda4 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 11 Feb 2019 09:11:35 +0000 Subject: [PATCH 117/429] Remove produce_additionalerrors from config.py --- validphys2/src/validphys/config.py | 19 ------------------- 1 file changed, 19 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 4c92c637ad..e544b71fb6 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -11,9 +11,6 @@ import numbers import copy -from os import listdir -from re import match - from collections import ChainMap from collections.abc import Mapping, Sequence @@ -671,22 +668,6 @@ def produce_fitting_covmat(self): fitting_covmat = theory_covmat_custom return fitting_covmat - def produce_additionalerrors(self, dataset): - mask = dataset.cuts.load() - path = '../nnpdfcpp/data/commondata/' - for f in listdir(path): - if match("DATA_TH_" + dataset.name + ".dat", f): - infile = open(path + f, "r") - systematics = [] - for i, line in enumerate(infile): - info = line.split() - if i == 0: - nsys = info[1] - else: - systematics.append(info[1:]) - infile.close() - return 0 - def parse_speclabel(self, label:(str, type(None))): """A label for a dataspec. To be used in some plots""" return label From d932242da0cefa12dd7417bb044d3d9085f50da8 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 28 Feb 2019 10:13:20 +0000 Subject: [PATCH 118/429] importing necessary functions for covmat reports --- validphys2/src/validphys/app.py | 4 ++-- validphys2/src/validphys/theorycovariance/tests.py | 5 +++-- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/validphys2/src/validphys/app.py b/validphys2/src/validphys/app.py index 909b00e02b..f8458504c0 100644 --- a/validphys2/src/validphys/app.py +++ b/validphys2/src/validphys/app.py @@ -38,8 +38,8 @@ 'validphys.paramfits.dataops', 'validphys.paramfits.plots', 'validphys.theorycovariance', - 'validphys.theorycovariance_output', - 'validphys.theorycovariance_tests', + 'validphys.theorycovariance.output', + 'validphys.theorycovariance.tests', 'validphys.replica_selector', 'validphys.MCgen_checks', 'validphys.closure', diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 90abc4a987..93b1cdfeec 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -1,4 +1,4 @@ -# -*- coding: utf-8 -*- +#-*- coding: utf-8 -*- """ tests.py Tools for testing theory covariance matrices and their properties. @@ -22,7 +22,8 @@ from validphys.results import results from validphys.checks import check_two_dataspecs from validphys.theorycovariance.construction import process_lookup, combine_by_type, process_starting_points -from validphys.theorycovariance.construction import covmap, covs_pt_prescrip, theory_covmat_custom +from validphys.theorycovariance.construction import commondata_experiments, each_dataset_results_bytheory, results_bytheoryids, experiments_results_theory, each_dataset_results, dataset_names, theoryids_experiments_central_values, data_theory_diff +from validphys.theorycovariance.construction import covmap, covs_pt_prescrip, theory_covmat_custom, total_covmat_experiments, chi2_impact_custom, chi2_diag_only, total_covmat_datasets, theory_diagcovmat, theory_covmat from validphys.theorycovariance.output import matrix_plot_labels log = logging.getLogger(__name__) From 71a8b288e7be958e1093a008129653102d500ebe Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 5 Mar 2019 11:24:28 +0000 Subject: [PATCH 119/429] importing necessary functions for tests reports --- .../src/validphys/theorycovariance/tests.py | 24 +++++++++---------- 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 93b1cdfeec..acb4227085 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -14,17 +14,18 @@ from matplotlib import cm import pandas as pd -from reportengine.checks import make_argcheck +from reportengine.checks import make_argcheck, check from reportengine.figure import figure from reportengine.table import table from reportengine import collect from validphys.results import results from validphys.checks import check_two_dataspecs -from validphys.theorycovariance.construction import process_lookup, combine_by_type, process_starting_points +from validphys.theorycovariance.construction import combine_by_type, process_starting_points +from validphys.theorycovariance.construction import theory_corrmat, process_lookup from validphys.theorycovariance.construction import commondata_experiments, each_dataset_results_bytheory, results_bytheoryids, experiments_results_theory, each_dataset_results, dataset_names, theoryids_experiments_central_values, data_theory_diff from validphys.theorycovariance.construction import covmap, covs_pt_prescrip, theory_covmat_custom, total_covmat_experiments, chi2_impact_custom, chi2_diag_only, total_covmat_datasets, theory_diagcovmat, theory_covmat -from validphys.theorycovariance.output import matrix_plot_labels +from validphys.theorycovariance.output import matrix_plot_labels, plot_covmat_heatmap, plot_corrmat_heatmap log = logging.getLogger(__name__) @@ -36,7 +37,7 @@ def _check_valid_shift_matrix_threshold_method(shift_threshold:(int, float, None """Checks that a valid method 1 or 2 is chosen where a threshold for removing elements of the shift correlation matrix has been specified""" opts = {1,2} - if shift_threshold != None: + if shift_threshold is not None: check(method is not None, "A threshold for removing elements of the " "shift correlation matrix has been specified but no choice of " "method (1 or 2) was provided") @@ -500,7 +501,7 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, if loc >=0: w_nonzero.append(w[loc]) # ^ taking 0th element to extract list from tuple - else: + else: nonzero_locs = range(len(w)) w_nonzero = w[nonzero_locs] v_nonzero = [] @@ -509,13 +510,12 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, v_nonzero.append(v[:,loc]) projectors = np.sum(f*v_nonzero, axis=1) projected_evectors = np.zeros((len(projectors), (len(f)))) - for i in range(len(projectors)): - projected_evectors[i] = projectors[i]*v_nonzero[i] + for i, projector in enumerate(projectors): + projected_evectors[i] = projector*v_nonzero[i] fmiss = f - np.sum(projected_evectors, axis=0) return w_nonzero, v_nonzero, projectors, f, fmiss, w_max, w, all_projectors -def cutoff(theory_shift_test, eigenvalue_cutoff:(bool, type(None)) = None): - w_max = theory_shift_test[5] +def cutoff(eigenvalue_cutoff:(bool, type(None)) = None): if eigenvalue_cutoff == True: cutoff = "10 times modulus of largest 'negative' eigenvalue" else: @@ -564,9 +564,9 @@ def projector_eigenvalue_ratio(theory_shift_test): all_evals = theory_shift_test[6][::-1] ratio = np.abs(all_projectors)/np.sqrt(np.abs(all_evals)) masked_evals = np.zeros((len(all_evals))) - for loc, eval in enumerate(all_evals): - if eval in surviving_evals: - masked_evals[loc] = eval + for loc, evalue in enumerate(all_evals): + if evalue in surviving_evals: + masked_evals[loc] = evalue # num_evals_ignored = len(all_evals)-len(surviving_evals) # # Ordering eigenvalues and their projectors at random # randomise = np.arange(len(evals)) From f9f94fb37c89924ce8a349cd5a32ba4cd63c607f Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Tue, 5 Mar 2019 14:07:49 +0000 Subject: [PATCH 120/429] Tidy up __init__.py, construction.py, output.py --- .../src/validphys/theorycovariance/__init__.py | 4 +++- .../src/validphys/theorycovariance/construction.py | 2 +- validphys2/src/validphys/theorycovariance/output.py | 12 ++++++++---- 3 files changed, 12 insertions(+), 6 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/__init__.py b/validphys2/src/validphys/theorycovariance/__init__.py index 9efd5cd59a..d55590477f 100644 --- a/validphys2/src/validphys/theorycovariance/__init__.py +++ b/validphys2/src/validphys/theorycovariance/__init__.py @@ -4,5 +4,7 @@ Tools for constructing and studying theory covariance matrices. -This package contains tools for constructing covariance matrices and computing their chi2s in construction.py, tools for plotting covariance matrices and tabulating their properties in output.py, and tools for testing their properties in tests.py. +This package contains tools for constructing covariance matrices and computing their chi2s +in construction.py, tools for plotting covariance matrices and tabulating their properties +in output.py, and tools for testing their properties in tests.py. """ diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 80b8afa7a7..9e39c9d638 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -187,7 +187,7 @@ def process_lookup(commondata_experiments): elif "Heavy Quarks" in value: d[key] = "Heavy Quarks" elif "Jet" in value: - d[key] = "Jets" + d[key] = "Jets" else: pass return d diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index 426a2bde8c..bb22fd4a6c 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -16,15 +16,19 @@ from reportengine.table import table from validphys import plotutils -from validphys.theorycovariance.construction import abs_chi2_data_theory_experiment, abs_chi2_data_theory_dataset +from validphys.theorycovariance.construction import abs_chi2_data_theory_experiment +from validphys.theorycovariance.construction import abs_chi2_data_theory_dataset from validphys.results import experiments_covmat, experiments_normcovmat, experiments_corrmat from validphys.results import experiments_chi2_table -from validphys.theorycovariance.construction import theory_block_diag_covmat, theory_normblockcovmat, theory_covmat_custom, theory_normcovmat_custom +from validphys.theorycovariance.construction import theory_block_diag_covmat, theory_normblockcovmat +from validphys.theorycovariance.construction import theory_covmat_custom, theory_normcovmat_custom from validphys.theorycovariance.construction import theory_blockcorrmat, theory_corrmat_custom -from validphys.theorycovariance.construction import experimentsplusblocktheory_normcovmat, experimentsplustheory_normcovmat_custom -from validphys.theorycovariance.construction import experimentsplusblocktheory_corrmat, experimentsplustheory_corrmat_custom +from validphys.theorycovariance.construction import experimentsplusblocktheory_normcovmat +from validphys.theorycovariance.construction import experimentsplustheory_normcovmat_custom +from validphys.theorycovariance.construction import experimentsplusblocktheory_corrmat +from validphys.theorycovariance.construction import experimentsplustheory_corrmat_custom log = logging.getLogger(__name__) From c494f317d9912ad88733034e75eebc1034ac6b64 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 6 Mar 2019 12:13:43 +0000 Subject: [PATCH 121/429] Clean up tests --- .../src/validphys/theorycovariance/tests.py | 17 ++++++++++++++--- 1 file changed, 14 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index acb4227085..3272938961 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -21,11 +21,22 @@ from validphys.results import results from validphys.checks import check_two_dataspecs + +from validphys.theorycovariance.construction import _check_correct_theory_combination from validphys.theorycovariance.construction import combine_by_type, process_starting_points from validphys.theorycovariance.construction import theory_corrmat, process_lookup -from validphys.theorycovariance.construction import commondata_experiments, each_dataset_results_bytheory, results_bytheoryids, experiments_results_theory, each_dataset_results, dataset_names, theoryids_experiments_central_values, data_theory_diff -from validphys.theorycovariance.construction import covmap, covs_pt_prescrip, theory_covmat_custom, total_covmat_experiments, chi2_impact_custom, chi2_diag_only, total_covmat_datasets, theory_diagcovmat, theory_covmat -from validphys.theorycovariance.output import matrix_plot_labels, plot_covmat_heatmap, plot_corrmat_heatmap +from validphys.theorycovariance.construction import commondata_experiments, results_bytheoryids +from validphys.theorycovariance.construction import experiments_results_theory, data_theory_diff +from validphys.theorycovariance.construction import theoryids_experiments_central_values +from validphys.theorycovariance.construction import each_dataset_results_bytheory +from validphys.theorycovariance.construction import each_dataset_results, dataset_names +from validphys.theorycovariance.construction import covmap, covs_pt_prescrip, theory_covmat_custom +from validphys.theorycovariance.construction import chi2_impact_custom, chi2_diag_only +from validphys.theorycovariance.construction import total_covmat_experiments, total_covmat_datasets +from validphys.theorycovariance.construction import theory_diagcovmat, theory_covmat + +from validphys.theorycovariance.output import matrix_plot_labels +from validphys.theorycovariance.output import plot_covmat_heatmap, plot_corrmat_heatmap log = logging.getLogger(__name__) From 029505ecac083b9c15bacddc39bde82067d24f5b Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Wed, 6 Mar 2019 16:05:41 +0000 Subject: [PATCH 122/429] updating construction.py according to covmat_cuts2 --- .../theorycovariance/construction.py | 111 +++++++++++++----- 1 file changed, 84 insertions(+), 27 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 9e39c9d638..ef873e3c47 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -27,7 +27,7 @@ ('theoryids',)) @make_argcheck -def _check_correct_theory_combination(theoryids, +def _check_correct_theory_combination_internal(theoryids, fivetheories:(str, type(None)) = None): """Checks that a valid theory combination corresponding to an existing prescription has been inputted""" @@ -64,6 +64,28 @@ def _check_correct_theory_combination(theoryids, xifs == correct_xifs and xirs == correct_xirs, "Choice of input theories does not correspond to a valid " "prescription for theory covariance matrix calculation") + +collected_theoryids = collect('theoryids', ['theoryconfig',]) + +_check_correct_theory_combination = make_argcheck(_check_correct_theory_combination_internal) + +def dataset_index_byprocess(experiments_index): + """Return a multiindex with index + per dataset per point, ordered by process""" + dsnames = [] + ids = experiments_index.get_level_values("id") + for dsname in experiments_index.get_level_values("dataset"): + dsnames.append(dsname) + processnames = [_process_lookup(dsname) for dsname in dsnames] + experiments_index.droplevel(level="experiment") + newindex = pd.MultiIndex.from_arrays([processnames, dsnames, ids], + names = ("process", "dataset", "id")) +return newindex + +@make_argcheck +def _check_correct_theory_combination_theoryconfig(collected_theoryids, + fivetheories:(str, type(None))=None): + _check_correct_theory_combination_internal(collected_theoryids[0], fivetheories) def make_scale_var_covmat(predictions): """Takes N theory predictions at different scales and applies N-pt scale @@ -132,7 +154,8 @@ def total_covmat_diagtheory_datasets(each_dataset_results_bytheory, for dataset in each_dataset_results_bytheory: theory_centrals = [x[1].central_value for x in dataset] s = make_scale_var_covmat(theory_centrals) - s_diag = np.zeros((len(s),len(s))) + # Initialise array of zeros and set precision to same as FK tables + s_diag = np.zeros((len(s),len(s)), dtype=np.float32) np.fill_diagonal(s_diag, np.diag(s)) sigma = dataset[0][0].covmat cov = s_diag + sigma @@ -166,31 +189,63 @@ def total_covmat_experiments(experiments_results_theory, commondata_experiments = collect('commondata', ['experiments', 'experiment']) -# TODO: Improve how processes are assigned. Currently we group manually into -# Drell-Yan, Heavy Quarks and Jets but adding more processes could break -# this assignment -def process_lookup(commondata_experiments): +def _process_lookup(name): """Produces a dictionary with keys corresponding to dataset names and values corresponding to process types. Process types are - regrouped into the five categories 'Drell-Yan', 'Heavy Quarks', Jets', + regrouped into the five categories 'Drell-Yan', 'Top', Jets', 'DIS NC' and 'DIS CC'.""" - d = {commondata.name: get_info(commondata).process_description - for commondata in commondata_experiments} - for key, value in d.items(): - if "Deep Inelastic Scattering" in value: - if ("CHORUS" in key) or ("NTV" in key) or ("HERACOMBCC" in key): - d[key] = "DIS CC" - else: - d[key] = "DIS NC" - elif "Drell-Yan" in value: - d[key] = "Drell-Yan" - elif "Heavy Quarks" in value: - d[key] = "Heavy Quarks" - elif "Jet" in value: - d[key] = "Jets" - else: - pass - return d + process_dictionary = { "ATLASZPT8TEVMDIST": "DY", + "ATLASZPT8TEVYDIST": "DY", + "CMSZDIFF12": "DY", + "ATLAS1JET11": "JETS", + "CMSJETS11": "JETS", + "CDFR2KT": "JETS", + "CMSTOPDIFF8TEVTTRAPNORM": "TOP", + "ATLASTOPDIFF8TEVTRAPNORM": "TOP", + "ATLASTTBARTOT": "TOP", + "CMSTTBARTOT": "TOP", + "DYE605": "DY", + "DYE886P": "DY", + "DYE886R": "DY", + "ATLASWZRAP36PB": "DY", + "ATLASZHIGHMASS49FB": "DY", + "ATLASLOMASSDY11EXT": "DY", + "ATLASWZRAP11": "DY", + "CMSWEASY840PB": "DY", + "CMSWMASY47FB": "DY", + "CMSDY2D11": "DY", + "CMSWMU8TEV": "DY", + "CMSWCHARMRAT": "DY", + "LHCBZ940PB": "DY", + "LHCBZEE2FB": "DY", + "LHCBWZMU7TEV": "DY", + "LHCBWZMU8TEV": "DY", + "D0WEASY": "DY", + "D0WMASY": "DY", + "D0ZRAP": "DY", + "CDFZRAP": "DY", + "H1HERAF2B": "DIS NC", + "HERACOMBCCEM": "DIS CC", + "HERACOMBCCEP": "DIS CC", + "HERACOMBNCEM": "DIS NC", + "HERACOMBNCEP460": "DIS NC", + "HERACOMBNCEP575": "DIS NC", + "HERACOMBNCEP820": "DIS NC", + "HERACOMBNCEP920": "DIS NC", + "HERAF2CHARM": "DIS NC", + "ZEUSHERAF2B": "DIS NC", + "NMCPD": "DIS NC", + "NMC": "DIS NC", + "SLACP": "DIS NC", + "SLACD": "DIS NC", + "BCDMSP": "DIS NC", + "BCDMSD": "DIS NC", + "CHORUSNU": "DIS CC", + "CHORUSNB": "DIS CC", + "NTVNUDMN": "DIS CC", + "NTVNBDMN": "DIS CC" } + proc = process_dictionary[name] +return proc def dataset_names(commondata_experiments): """Returns a list of the names of the datasets, in the same order as @@ -216,7 +271,7 @@ def combine_by_type(process_lookup, for dataset, name in zip(each_dataset_results_bytheory, dataset_names): theory_centrals = [x[1].central_value for x in dataset] dataset_size[name] = len(theory_centrals[0]) - proc_type = process_lookup[name] + proc_type = _process_lookup[name] ordered_names[proc_type].append(name) theories_by_process[proc_type].append(theory_centrals) for key, item in theories_by_process.items(): @@ -355,7 +410,8 @@ def theory_covmat_custom(covs_pt_prescrip, covmap, experiments_index): to ordering by experiment as listed in the runcard""" matlength = int(sum([len(covmat) for covmat in covs_pt_prescrip.values()] )/int(np.sqrt(len(covs_pt_prescrip)))) - mat = np.zeros((matlength,matlength)) + # Initialise arrays of zeros and set precision to same as FK tables + mat = np.zeros((matlength,matlength), dtype=np.float32) cov_by_exp = np.zeros((matlength,matlength)) for locs in covs_pt_prescrip: cov = covs_pt_prescrip[locs] @@ -376,7 +432,8 @@ def total_covmat_diagtheory_experiments(experiments_results_theory, for exp_result in zip(*experiments_results_theory): theory_centrals = [x[1].central_value for x in exp_result] s = make_scale_var_covmat(theory_centrals) - s_diag = np.zeros((len(s),len(s))) + # Initialise array of zeros and set precision to same as FK tables + s_diag = np.zeros((len(s),len(s)), dtype=np.float32) np.fill_diagonal(s_diag, np.diag(s)) sigma = exp_result[0][0].covmat cov = s_diag + sigma From 2250d141242331b8ad7d8d6e5204431cc5bbeda6 Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Wed, 6 Mar 2019 16:09:36 +0000 Subject: [PATCH 123/429] updating output.py with changes from covmat_cuts2 --- .../src/validphys/theorycovariance/output.py | 283 ++++++++++++------ 1 file changed, 198 insertions(+), 85 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index bb22fd4a6c..941f68b9e9 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -49,28 +49,55 @@ def experiments_chi2_table_diagtheory(experiments, pdf, return experiments_chi2_table(experiments, pdf, abs_chi2_data_diagtheory_experiment, abs_chi2_data_diagtheory_dataset) - + def matrix_plot_labels(df): - explabels = [x[0] for x in df.columns] - points = [x[2] for x in df.columns] - unique_exp = [] - unique_exp.append([explabels[0],points[0]]) - for x in range(len(explabels)-1): - if explabels[x+1] != explabels[x]: - unique_exp.append([explabels[x+1],x+1]) - ticklabels = [unique_exp[x][0] for x in range(len(unique_exp))] - startlocs = [unique_exp[x][1] for x in range(len(unique_exp))] - startlocs += [len(explabels)] + """Returns the tick locations and labels, and the starting + point values for each category, based on a dataframe + to be plotted. The dataframe is assumed to be multiindexed by + (process, dataset, points) or else (dataset, points). The tick + location is in the centre of the dataset, and labelling is by + the outermost index of the multiindex.""" + if len(df.index[0]) == 3: + proclabels = [x[0] for x in df.index] + dslabels = [x[1] for x in df.index] + points = [x[2] for x in df.index] + labels = proclabels + elif len(df.index[0]) == 2: + dslabels = [x[0] for x in df.index] + points = [x[1] for x in df.index] + labels = dslabels + unique_ds = [] + unique_ds.append([labels[0],points[0]]) + for x in range(len(labels)-1): + if labels[x+1] != labels[x]: + unique_ds.append([labels[x+1],x+1]) + ticklabels = [unique_ds[x][0] for x in range(len(unique_ds))] + startlocs = [unique_ds[x][1] for x in range(len(unique_ds))] + startlocs += [len(labels)] ticklocs = [0 for x in range(len(startlocs)-1)] for i in range(len(startlocs)-1): ticklocs[i] = 0.5*(startlocs[i+1]+startlocs[i]) - return ticklocs, ticklabels + return ticklocs, ticklabels, startlocs -@figure -def plot_covmat_heatmap(covmat, title): - """Matrix plot of a covariance matrix""" - df = covmat - matrix = df.values +def plot_covmat_heatmap(covmat, title, dataset_index_byprocess): + """Matrix plot of a covariance matrix. + WARNING: Plotting is ordered by process and dataset in the custom + order given in _procorder and _dsorder. In order for this to work + the covmat provided MUST be indexed and ordered the same as + experiments_covmat, that is by (exp, dataset, point) in the order + of experiments and datasets listed in the runcard. Otherwise the + labels will not correspond to the correct points.""" + df = pd.DataFrame(covmat.values, index=dataset_index_byprocess, + columns=dataset_index_byprocess) + df.sort_index(0, inplace=True) + df.sort_index(1, inplace=True) + oldindex = df.index.tolist() + newindex = sorted(oldindex, key=_get_key) + # reindex index + newdf = df.reindex(newindex) + #reindex columns by transposing, reindexing, then transposing back + newdf = (newdf.T.reindex(newindex)).T + matrix = newdf.values fig,ax = plt.subplots(figsize=(15,15)) matrixplot = ax.matshow(100*matrix, cmap=cm.Spectral_r, @@ -78,145 +105,222 @@ def plot_covmat_heatmap(covmat, title): linscale=10, vmin=-100*matrix.max(), vmax=100*matrix.max())) - fig.colorbar(matrixplot, label="% of data") - ax.set_title(title) - ticklocs, ticklabels = matrix_plot_labels(df) - plt.xticks(ticklocs, ticklabels, rotation=30, ha="right") + cbar=fig.colorbar(matrixplot) + cbar.set_label(label="% of data", fontsize=20) + cbar.ax.tick_params(labelsize=20) + ax.set_title(title, fontsize=25) + ticklocs, ticklabels, startlocs = matrix_plot_labels(newdf) + plt.xticks(ticklocs, ticklabels, rotation=30, ha="right", fontsize=20) plt.gca().xaxis.tick_bottom() - plt.yticks(ticklocs, ticklabels) + plt.yticks(ticklocs, ticklabels, fontsize=20) + ax.vlines(startlocs, 0, len(matrix), linestyles='dashed') + ax.hlines(startlocs, 0, len(matrix), linestyles='dashed') + ax.margins(x=0, y=0) return fig + +_procorder = ('DIS NC', 'DIS CC', 'DY', 'JETS', 'TOP') -@figure -def plot_corrmat_heatmap(corrmat, title): +_dsorder = ( 'BCDMSP', 'BCDMSD', 'SLACP', 'SLACD', 'NMC', 'NMCPD', + 'HERAF2CHARM', 'HERACOMBNCEP460', 'HERACOMBNCEP575', + 'HERACOMBNCEP820', 'HERACOMBNCEP920', 'HERACOMBNCEM', + 'CHORUSNU', 'CHORUSNB', 'NTVNUDMN', 'NTVNBDMN', + 'HERACOMBCCEP', 'HERACOMBCCEM', 'CDFZRAP', 'D0ZRAP', + 'D0WEASY', 'D0WMASY', 'ATLASWZRAP36PB', 'ATLASZHIGHMASS49FB', + 'ATLASLOMASSDY11EXT', 'ATLASWZRAP11', 'ATLASZPT8TEVMDIST', + 'ATLASZPT8TEVYDIST', 'CMSWEASY840PB', 'CMSWMASY47FB', + 'CMSWCHARMRAT', 'CMSDY2D11', 'CMSWMU8TEV', 'LHCBZ940PB', + 'LHCBZEE2FB', 'ATLAS1JET11', 'CMSJETS11', 'CDFR2KT', + 'ATLASTTBARTOT', 'ATLASTOPDIFF8TEVTRAPNORM', 'CMSTTBARTOT', + 'CMSTOPDIFF8TEVTTRAPNORM') + +def _get_key(element): + """The key used to sort covariance matrix dataframes according to + the ordering of processes and datasets specified in _procorder and + _dsorder.""" + x1, y1, z1 = element + x2 = _procorder.index(x1) if x1 in _procorder else inf + y2 = _dsorder.index(y1) if y1 in _dsorder else inf + z2 = z1 + newelement = (x2, y2, z2) + return newelement + +def plot_corrmat_heatmap(corrmat, title, dataset_index_byprocess): """Matrix plot of a correlation matrix""" - df = corrmat - matrix = df.values + df = pd.DataFrame(corrmat.values, index=dataset_index_byprocess, + columns=dataset_index_byprocess) + df.sort_index(0, inplace=True) + df.sort_index(1, inplace=True) + oldindex = df.index.tolist() + newindex = sorted(oldindex, key=_get_key) + # reindex index + newdf = df.reindex(newindex) + #reindex columns by transposing, reindexing, then transposing back + newdf = (newdf.T.reindex(newindex)).T + matrix = newdf.values fig, ax = plt.subplots(figsize=(15,15)) matrixplot = ax.matshow(matrix, cmap=cm.Spectral_r, vmin=-1, vmax=1) - fig.colorbar(matrixplot) - ax.set_title(title) - ticklocs, ticklabels = matrix_plot_labels(df) - plt.xticks(ticklocs, ticklabels, rotation=30, ha="right") + cbar=fig.colorbar(matrixplot) + cbar.ax.tick_params(labelsize=20) + ax.set_title(title, fontsize=25) + ticklocs, ticklabels, startlocs = matrix_plot_labels(newdf) + plt.xticks(ticklocs, ticklabels, rotation=30, ha="right", fontsize=20) plt.gca().xaxis.tick_bottom() - plt.yticks(ticklocs, ticklabels) + plt.yticks(ticklocs, ticklabels, fontsize=20) + ax.vlines(startlocs, 0, len(matrix), linestyles='dashed') + ax.hlines(startlocs, 0, len(matrix), linestyles='dashed') + ax.margins(x=0, y=0) return fig @figure -def plot_normexpcovmat_heatmap(experiments_normcovmat): +def plot_normexpcovmat_heatmap(experiments_normcovmat, dataset_index_byprocess): """Matrix plot of the experiment covariance matrix normalised to data.""" fig = plot_covmat_heatmap(experiments_normcovmat, - "Experiment covariance matrix") + "Experiment covariance matrix", + dataset_index_byprocess) return fig @figure -def plot_expcorrmat_heatmap(experiments_corrmat): +def plot_expcorrmat_heatmap(experiments_corrmat, dataset_index_byprocess): """Matrix plot of the experiment correlation matrix""" fig = plot_corrmat_heatmap(experiments_corrmat, - "Experiment correlation matrix") + "Experiment correlation matrix", + dataset_index_byprocess) return fig @figure -def plot_normthblockcovmat_heatmap(theory_normblockcovmat): +def plot_normthblockcovmat_heatmap(theory_normblockcovmat, dataset_index_byprocess): """Matrix plot for block diagonal theory covariance matrix""" fig = plot_covmat_heatmap(theory_normblockcovmat, - "Block diagonal theory covariance matrix by dataset") + "Block diagonal theory covariance matrix by dataset", + dataset_index_byprocess) return fig @figure -def plot_normthcovmat_heatmap_custom(theory_normcovmat_custom, theoryids): +def plot_normthcovmat_heatmap_custom(theory_normcovmat_custom, theoryids, + dataset_index_byprocess): """Matrix plot for block diagonal theory covariance matrix by process type""" l = len(theoryids) fig = plot_covmat_heatmap(theory_normcovmat_custom, - f"Theory covariance matrix for {l} points") + f"Theory covariance matrix for {l} points", + dataset_index_byprocess) return fig @figure -def plot_thblockcorrmat_heatmap(theory_blockcorrmat): +def plot_thblockcorrmat_heatmap(theory_blockcorrmat, dataset_index_byprocess): """Matrix plot of the theory correlation matrix""" fig = plot_corrmat_heatmap(theory_blockcorrmat, - "Theory correlation matrix block diagonal by dataset") + "Theory correlation matrix block diagonal by dataset", + dataset_index_byprocess) return fig @figure -def plot_thcorrmat_heatmap_custom(theory_corrmat_custom, theoryids): +def plot_thcorrmat_heatmap_custom(theory_corrmat_custom, theoryids, + dataset_index_byprocess): """Matrix plot of the theory correlation matrix, correlations by process type""" l = len(theoryids) fig = plot_corrmat_heatmap(theory_corrmat_custom, - f"Theory correlation matrix for {l} points") + f"Theory correlation matrix for {l} points", + dataset_index_byprocess) return fig @figure -def plot_normexpplusblockthcovmat_heatmap(experimentsplusblocktheory_normcovmat): +def plot_normexpplusblockthcovmat_heatmap(experimentsplusblocktheory_normcovmat, + dataset_index_byprocess): """Matrix plot of the exp + theory covariance matrix normalised to data""" fig = plot_covmat_heatmap(experimentsplusblocktheory_normcovmat, - "Experiment + theory (block diagonal by dataset) covariance matrix") + "Experiment + theory (block diagonal by dataset) covariance matrix", + dataset_index_byprocess) return fig @figure -def plot_normexpplusthcovmat_heatmap_custom(experimentsplustheory_normcovmat_custom, theoryids): +def plot_normexpplusthcovmat_heatmap_custom(experimentsplustheory_normcovmat_custom, + theoryids, dataset_index_byprocess): """Matrix plot of the exp + theory covariance matrix normalised to data""" l = len(theoryids) fig = plot_covmat_heatmap(experimentsplustheory_normcovmat_custom, - f"Experiment + theory covariance matrix for {l} points") + f"Experiment + theory covariance matrix for {l} points", + dataset_index_byprocess) return fig @figure -def plot_expplusblockthcorrmat_heatmap(experimentsplusblocktheory_corrmat): +def plot_expplusblockthcorrmat_heatmap(experimentsplusblocktheory_corrmat, + dataset_index_byprocess): """Matrix plot of the exp + theory correlation matrix""" fig = plot_corrmat_heatmap(experimentsplusblocktheory_corrmat, - "Experiment + theory (block diagonal by dataset) correlation matrix") + "Experiment + theory (block diagonal by dataset) correlation matrix", + dataset_index_byprocess) return fig @figure -def plot_expplusthcorrmat_heatmap_custom(experimentsplustheory_corrmat_custom, theoryids): +def plot_expplusthcorrmat_heatmap_custom(experimentsplustheory_corrmat_custom, + theoryids, dataset_index_byprocess): """Matrix plot of the exp + theory correlation matrix""" l = len(theoryids) fig = plot_corrmat_heatmap(experimentsplustheory_corrmat_custom, - f"Experiment + theory correlation matrix for {l} points") + f"Experiment + theory correlation matrix for {l} points", + dataset_index_byprocess) return fig @figure -def plot_blockcovdiff_heatmap(theory_block_diag_covmat, experiments_covmat): +def plot_blockcovdiff_heatmap(theory_block_diag_covmat, experiments_covmat, + dataset_index_byprocess): """Matrix plot (thcov + expcov)/expcov""" df = (theory_block_diag_covmat.as_matrix()+experiments_covmat.values )/np.mean(experiments_covmat.values) fig = plot_covmat_heatmap(df,"(Theory + experiment)/mean(experiment)" + - "for block diagonal theory covmat by dataset") + "for block diagonal theory covmat by dataset", + dataset_index_byprocess) return fig @figure -def plot_covdiff_heatmap_custom(theory_covmat_custom, experiments_covmat, theoryids): +def plot_covdiff_heatmap_custom(theory_covmat_custom, experiments_covmat, + theoryids, dataset_index_byprocess): """Matrix plot (thcov + expcov)/expcov""" l = len(theoryids) df = (theory_covmat_custom+experiments_covmat )/np.mean(experiments_covmat.values) fig = plot_covmat_heatmap(df, "(Theory + experiment)/mean(experiment)" - + f"covariance matrices for {l} points") + + f"covariance matrices for {l} points", + dataset_index_byprocess) return fig - + @figure -def plot_diag_cov_comparison(theory_covmat_custom, experiments_covmat, experiments_data, theoryids): +def plot_diag_cov_comparison(theory_covmat_custom, experiments_covmat, + experiments_data, theoryids, dataset_index_byprocess): """Plot of sqrt(cov_ii)/|data_i| for cov = exp, theory, exp+theory""" l = len(theoryids) data = np.abs(experiments_data) - df_theory = theory_covmat_custom - df_experiment = experiments_covmat - df_total = df_theory + df_experiment - sqrtdiags1 = np.sqrt(np.diag(df_theory.values)) - sqrtdiags2 = np.sqrt(np.diag(df_experiment.values)) - sqrtdiags3 = np.sqrt(np.diag(df_total.values)) + sqrtdiags_th = np.sqrt(np.diag(theory_covmat_custom))/data + sqrtdiags_th = pd.DataFrame(sqrtdiags_th.values, index=dataset_index_byprocess) + sqrtdiags_th.sort_index(0,inplace=True) + oldindex = sqrtdiags_th.index.tolist() + newindex = sorted(oldindex, key=_get_key) + sqrtdiags_th = sqrtdiags_th.reindex(newindex) + sqrtdiags_exp = np.sqrt(np.diag(experiments_covmat))/data + sqrtdiags_exp = pd.DataFrame(sqrtdiags_exp.values, index=dataset_index_byprocess) + sqrtdiags_exp.sort_index(0,inplace=True) + sqrtdiags_exp = sqrtdiags_exp.reindex(newindex) + df_total = theory_covmat_custom + experiments_covmat + sqrtdiags_tot = np.sqrt(np.diag(df_total))/data + sqrtdiags_tot = pd.DataFrame(sqrtdiags_tot.values, index=dataset_index_byprocess) + sqrtdiags_tot.sort_index(0,inplace=True) + sqrtdiags_tot = sqrtdiags_tot.reindex(newindex) fig,ax = plt.subplots(figsize=(20,10)) - ax.plot((sqrtdiags2/data).values, '.', label="Experiment", color="orange") - ax.plot((sqrtdiags1/data).values, '.', label="Theory", color = "red") - ax.plot((sqrtdiags3/data).values, '.', label="Total", color = "blue") - ticklocs, ticklabels = matrix_plot_labels(df_experiment) - plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=6) - ax.set_ylabel(r"$\frac{\sqrt{cov_{ii}}}{|D_i|}$") + ax.plot(sqrtdiags_exp.values, '.', label="Experiment", color="orange") + ax.plot(sqrtdiags_th.values, '.', label="Theory", color = "red") + ax.plot(sqrtdiags_tot.values, '.', label="Total", color = "blue") + ticklocs, ticklabels, startlocs = matrix_plot_labels(sqrtdiags_th) + plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=20) + ax.vlines(startlocs, 0, len(data), linestyles='dashed') + ax.set_ylabel(r"$\frac{\sqrt{cov_{ii}}}{|D_i|}$", fontsize=30) + ax.yaxis.set_tick_params(labelsize=20) ax.set_ylim([0,0.5]) ax.set_title(f"Square root of diagonal elements of covariances matrices for {l} points, " - + "normalised to absolute value of data") - ax.legend() + + "normalised to absolute value of data", + fontsize=20) + ax.legend(fontsize=20) + ax.margins(x=0) return fig @figure @@ -224,21 +328,30 @@ def plot_diag_cov_impact(theory_covmat_custom, experiments_covmat, experiments_data, theoryids): """Plot ((expcov)^-1_ii)^-0.5 versus ((expcov + thcov)^-1_ii)^-0.5""" l = len(theoryids) - data = experiments_data - df_theory = theory_covmat_custom - df_experiment = experiments_covmat - matrix_theory = df_theory.values - matrix_experiment = df_experiment.values - a = (np.diag(la.inv(matrix_experiment)))**(-0.5) - b = (np.diag(la.inv(matrix_theory+matrix_experiment)))**(-0.5) + matrix_theory = theory_covmat_custom.values + matrix_experiment = experiments_covmat.values + inv_exp = (np.diag(la.inv(matrix_experiment)))**(-0.5)/experiments_data + inv_tot = (np.diag(la.inv(matrix_theory+matrix_experiment)))**(-0.5)/experiments_data + df_inv_exp = pd.DataFrame(inv_exp, index=dataset_index_byprocess) + df_inv_exp.sort_index(0,inplace=True) + oldindex = df_inv_exp.index.tolist() + newindex = sorted(oldindex, key=_get_key) + df_inv_exp = df_inv_exp.reindex(newindex) + df_inv_tot = pd.DataFrame(inv_tot, index=dataset_index_byprocess) + df_inv_tot.sort_index(0,inplace=True) + df_inv_tot = df_inv_tot.reindex(newindex) fig,ax = plt.subplots() - ax.plot((a/data).values, '.', label="Experiment", color="orange") - ax.plot((b/data).values, '.', label="Experiment + Theory", color="mediumseagreen") - ticklocs, ticklabels = matrix_plot_labels(df_experiment) - plt.xticks(ticklocs, ticklabels, rotation="vertical") - ax.set_ylabel(r"$\frac{1}{D_i}\frac{1}{\sqrt{[cov^{-1}_]{ii}}}$") - ax.set_title(f"Diagonal impact of adding theory covariance matrix for {l} points") - ax.legend() + ax.plot(df_inv_exp.values, '.', label="Experiment", color="orange") + ax.plot(df_inv_tot.values, '.', label="Experiment + Theory", color="mediumseagreen") + ticklocs, ticklabels, startlocs = matrix_plot_labels(df_inv_exp) + plt.xticks(ticklocs, ticklabels, rotation="vertical", fontsize=20) + ax.vlines(startlocs, 0, len(matrix_theory), linestyles='dashed') + ax.set_ylabel(r"$\frac{1}{D_i}\frac{1}{\sqrt{[cov^{-1}_]{ii}}}$", fontsize=30) + ax.yaxis.set_tick_params(labelsize=20) + ax.set_title(f"Diagonal impact of adding theory covariance matrix for {l} points", + fontsize=20) + ax.legend(fontsize=20) + ax.margins(x=0) return fig @figure From 02c4a24f2688b7aadce9051a0cc96de00a78ae39 Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Wed, 6 Mar 2019 16:16:36 +0000 Subject: [PATCH 124/429] updating tests.py with updates from covmat_cuts2 --- .../src/validphys/theorycovariance/tests.py | 595 +++++++++++++++--- 1 file changed, 500 insertions(+), 95 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 3272938961..c7ef7451b0 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -8,6 +8,7 @@ import logging from collections import namedtuple +from itertools import product import numpy as np import scipy.linalg as la import matplotlib.pyplot as plt @@ -115,10 +116,10 @@ def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, else: pass #build index - expnames = np.concatenate([ - np.full(len(val.shifts), val.experiment_name, dtype=object) - for val in matched_dataspecs_dataset_prediction_shift - ]) + # expnames = np.concatenate([ + # np.full(len(val.shifts), val.experiment_name, dtype=object) + # for val in matched_dataspecs_dataset_prediction_shift + # ]) dsnames = np.concatenate([ np.full(len(val.shifts), val.dataset_name, dtype=object) for val in matched_dataspecs_dataset_prediction_shift @@ -130,7 +131,7 @@ def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, index = pd.MultiIndex.from_arrays( [expnames, dsnames, point_indexes], - names=["Experiment name", "Dataset name", "Point"]) + names=["Dataset name", "Point"]) return pd.DataFrame(mat, columns=index, index=index) @@ -142,10 +143,10 @@ def shift_vector(matched_dataspecs_dataset_prediction_shift, [val.shifts for val in matched_dataspecs_dataset_theory]) norm_shifts = all_shifts/all_theory #build index - expnames = np.concatenate([ - np.full(len(val.shifts), val.experiment_name, dtype=object) - for val in matched_dataspecs_dataset_prediction_shift - ]) + # expnames = np.concatenate([ + # np.full(len(val.shifts), val.experiment_name, dtype=object) + # for val in matched_dataspecs_dataset_prediction_shift + # ]) dsnames = np.concatenate([ np.full(len(val.shifts), val.dataset_name, dtype=object) for val in matched_dataspecs_dataset_prediction_shift @@ -157,7 +158,7 @@ def shift_vector(matched_dataspecs_dataset_prediction_shift, index = pd.MultiIndex.from_arrays( [expnames, dsnames, point_indexes], - names=["Experiment name", "Dataset name", "Point"]) + names=["Dataset name", "Point"]) return pd.DataFrame(norm_shifts, index=index) def dataspecs_dataset_theory(matched_dataspecs_results, experiment_name, dataset_name): @@ -172,10 +173,10 @@ def theory_vector(matched_dataspecs_dataset_theory): all_theory = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_theory]) #build index - expnames = np.concatenate([ - np.full(len(val.shifts), val.experiment_name, dtype=object) - for val in matched_dataspecs_dataset_theory - ]) +# expnames = np.concatenate([ +# np.full(len(val.shifts), val.experiment_name, dtype=object) +# for val in matched_dataspecs_dataset_theory +# ]) dsnames = np.concatenate([ np.full(len(val.shifts), val.dataset_name, dtype=object) for val in matched_dataspecs_dataset_theory @@ -187,7 +188,7 @@ def theory_vector(matched_dataspecs_dataset_theory): index = pd.MultiIndex.from_arrays( [expnames, dsnames, point_indexes], - names=["Experiment name", "Dataset name", "Point"]) + names=["Dataset name", "Point"]) return pd.DataFrame(all_theory, index=index) def dataspecs_dataset_alltheory(matched_dataspecs_results, experiment_name, dataset_name): @@ -201,11 +202,11 @@ def dataspecs_dataset_alltheory(matched_dataspecs_results, experiment_name, data def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_dataset_theory): all_theory = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_alltheory], axis=1) - expnames = np.concatenate([ - np.full(len(val.shifts), - val.experiment_name, dtype=object) - for val in matched_dataspecs_dataset_theory - ]) +# expnames = np.concatenate([ +# np.full(len(val.shifts), +# val.experiment_name, dtype=object) +# for val in matched_dataspecs_dataset_theory +# ]) dsnames = np.concatenate([ np.full(len(val.shifts), val.dataset_name, dtype=object) @@ -217,7 +218,7 @@ def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_data ]) index = pd.MultiIndex.from_arrays( [expnames, dsnames, point_indexes], - names=["Experiment name", "Dataset name", "Point"]) + names=["Dataset name", "Point"]) theory_vectors = [] for theoryvector in all_theory: theory_vectors.append(pd.DataFrame(theoryvector, index=index)) @@ -227,8 +228,7 @@ def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_data @figure def plot_matched_datasets_shift_matrix(matched_datasets_shift_matrix): """Heatmap plot of matched_datasets_shift_matrix""" - return plot_covmat_heatmap(matched_datasets_shift_matrix, - + return plot_covmat_heatmap(matched_datasets_shift_matrix, "Shift outer product matrix") @table @@ -303,10 +303,10 @@ def matched_experiments_index(matched_dataspecs_experiment_name, dsnames = matched_dataspecs_dataset_name lens = all_matched_data_lengths #build index - expnames = np.concatenate([ - np.full(l, ename, dtype=object) - for (l, ename) in zip(lens, enames) - ]) + # expnames = np.concatenate([ + # np.full(l, ename, dtype=object) + # for (l, ename) in zip(lens, enames) + # ]) dsnames = np.concatenate([ np.full(l, dsname, dtype=object) for (l, dsname) in zip(lens, dsnames) @@ -318,7 +318,7 @@ def matched_experiments_index(matched_dataspecs_experiment_name, index = pd.MultiIndex.from_arrays( [expnames, dsnames, point_indexes], - names=["Experiment name", "Dataset name", "Point"]) + names=["Dataset name", "Point"]) return index @table @@ -359,11 +359,6 @@ def shift_to_theory_ratio(thx_corrmat, shx_corrmat): def shift_to_theory_ratio_plot(shift_to_theory_ratio): matrix = shift_to_theory_ratio matrix[((matrix==np.inf) | (matrix==-np.inf))] = 0 -# bins = np.linspace(-1, 1, num=21) -# digmatrix = np.digitize(matrix, bins) -# symdigmatrix = np.zeros((len(digmatrix), len(digmatrix))) -# for binnumber in range(len(bins)): -# symdigmatrix[digmatrix==binnumber+1] = bins[binnumber] fig, ax = plt.subplots(figsize=(15,15)) matrixplot = ax.matshow(matrix, cmap=cm.Spectral_r) fig.colorbar(matrixplot) @@ -405,12 +400,11 @@ def shift_corrmat_value_fractions(shx_corrmat): def theory_corrmat_value_fractions(thx_corrmat, theory_threshold:(int, float) = 0): mat = thx_corrmat[0].values - newmat = np.zeros((len(mat),len(mat))) + # Initialise array of zeros and set precision to same as FK tables + newmat = np.zeros((len(mat),len(mat)), dtype=np.float32) #coarse graining for comparison newmat[mat>=theory_threshold]=1 newmat[mat<=-theory_threshold]=-1 -# mask = ((mat!=-1) & (mat!=1)) -# mat[mask]=0 matsize = np.size(mat) fracplus = 100*np.size(np.where(newmat>0))/(2*matsize) fracminus = 100*np.size(np.where(newmat<0))/(2*matsize) @@ -427,11 +421,10 @@ def shift_theory_element_comparison(shx_corrmat, thx_corrmat, theory_threshold:(int, float) = 0): #coarse graining for comparison thmat = thx_corrmat[0].values - newthmat = np.zeros((len(thmat),len(thmat))) + # Initialise array of zeros and set precision to same as FK tables + newthmat = np.zeros((len(thmat),len(thmat)), dtype=np.float32) newthmat[thmat>=theory_threshold]=1 newthmat[thmat<=-theory_threshold]=-1 -# mask = ((thmat!=-1) & (thmat!=1)) -# thmat[mask]=0 shmat = shx_corrmat[0].fillna(0).values num_non_zero = np.size(np.where(shmat!=0))/2 fracsame = 100*np.size(np.where((shmat==newthmat) & (shmat!=0)))/(2*num_non_zero) @@ -458,28 +451,386 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the f"Theory correlation matrix for {l} points") return fig -def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector): - orig_matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) - # constructing shift vectors - scalevartheory_vectors = allthx_vector[0] - xs = [(thx_vector[0] - scalevarvector)/thx_vector[0] for scalevarvector in allthx_vector[0]] - # iteratively orthogonalising deltas - ys = [x/np.linalg.norm(x) for x in xs] - xdashs = [None]*len(ys) - for n, x in enumerate(xs): - sub_ys = ys[:n] - subtract_terms = [None]*len(sub_ys) - xlist = [x]*len(sub_ys) - for i in range(len(sub_ys)): - subtract_terms[i] = np.dot(sub_ys[i], np.dot(sub_ys[i].T, xlist[i])) - xdashs[n] = x - np.sum(subtract_terms, axis=0) - ys[n] = xdashs[n]/np.linalg.norm(xdashs[n]) -# xdash = xs[1] - ys[0]*np.dot(ys[0].T, xs[1])[0] -# ys[1] = xdash/np.linalg.norm(xdash) - P = np.column_stack(ys) - projected_matrix = np.dot(P.T, np.dot(orig_matrix, P)) - w, v_projected = la.eigh(projected_matrix) - v = np.dot(P, v_projected) +@_check_correct_theory_combination_theoryconfig +def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, + collected_theoryids, + fivetheories:(str, type(None)) = None, + seventheories:(str, type(None)) = None, + eigenvalue_cutoff:(bool, type(None)) = None, + use_analytic:(bool, type(None)) = None): + def shuffle_list(l, shift): + i=0 + newlist = l.copy() + while i <= (shift-1): + newlist.append(newlist.pop(0)) + i = i + 1 + return newlist + if eigenvalue_cutoff == True: + w = None + v = None + else: + orig_matrix = (thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])))#.reorder_levels(['Dataset name', + #'Experiment name', + #'Point']) + # constructing shift vectors + diffs = [((thx_vector[0] - scalevarvector)/thx_vector[0]) + for scalevarvector in allthx_vector[0]] + num_pts = len(diffs) + 1 + indexlist = list(diffs[0].index.values) + procdict = {} + for index in indexlist: + name = index[0] + proc = _process_lookup(name) + if proc not in list(procdict.keys()): + procdict[proc] = [name] + elif name not in procdict[proc]: + procdict[proc].append(name) + # creating split diffs with processes separated + splitdiffs = [] + for process, dslist in procdict.items(): + alldatasets = [y for x in list(procdict.values()) for y in x] + otherdatasets = [x for x in alldatasets if x not in procdict[process]] + for diff in diffs: + splitdiff = diff.copy() + for ds in otherdatasets: + splitdiff.loc[ds] = 0 + splitdiffs.append(splitdiff) + num_procs = len(procdict) + if (num_pts == 3) and (num_procs == 2): + N = (1/4) + # defining key + pp1 = splitdiffs[0] + mm1 = splitdiffs[1] + pp2 = splitdiffs[2] + mm2 = splitdiffs[3] + ################### + xs = [pp1 + pp2, pp1 + mm2, mm1 + pp2, mm1 + mm2] + elif (num_pts == 5) and (num_procs == 2) and (fivetheories == "nobar"): + N = (1/4) + # defining key + pz1 = splitdiffs[0] + mz1 = splitdiffs[1] + zp1 = splitdiffs[2] + zm1 = splitdiffs[3] + pz2 = splitdiffs[4] + mz2 = splitdiffs[5] + zp2 = splitdiffs[6] + zm2 = splitdiffs[7] + ################### + xs = [pz1 + pz2, pz1 + pz2, mz1 + mz2, mz1 + mz2, + zp1 + zp2, zp1 + zm2, zm1 + zp2, zm1 + zm2 ] + elif (num_pts == 5) and (num_procs == 2) and (fivetheories == "bar"): + N = (1/4) + # defining key + pp1 = splitdiffs[0] + mm1 = splitdiffs[1] + pm1 = splitdiffs[2] + mp1 = splitdiffs[3] + pp2 = splitdiffs[4] + mm2 = splitdiffs[5] + pm2 = splitdiffs[6] + mp2 = splitdiffs[7] + ################### + xs = [pp1 + pp2, pp1 + pm2, mm1 + mp2, mm1 + mm2, + pm1 + pp2, pm1 + pm2, mp1 + mp2, mp1 + mm2 ] + elif (num_pts == 7) and (num_procs == 2) and (seventheories != "original"): + N = (1/6) + # defining key + pz1 = splitdiffs[0] + mz1 = splitdiffs[1] + zp1 = splitdiffs[2] + zm1 = splitdiffs[3] + pp1 = splitdiffs[4] + mm1 = splitdiffs[5] + pz2 = splitdiffs[6] + mz2 = splitdiffs[7] + zp2 = splitdiffs[8] + zm2 = splitdiffs[9] + pp2 = splitdiffs[10] + mm2 = splitdiffs[11] + #################### + xs = [pz1 + pz2, mz1 + mz2, zp1 + zp2, zm1 + zp2, pp1 + pp2, + mm1 + pp2, pz1 + pz2, mz1 + mz2, zp1 + zm2, zm1 + zm2, + pp1 + mm2, mm1 + mm2] + elif (num_pts == 9) and (num_procs == 2): + N = (1/24) + # defining key + pz1 = splitdiffs[0] + mz1 = splitdiffs[1] + zp1 = splitdiffs[2] + zm1 = splitdiffs[3] + pp1 = splitdiffs[4] + mm1 = splitdiffs[5] + pm1 = splitdiffs[6] + mp1 = splitdiffs[7] + pz2 = splitdiffs[8] + mz2 = splitdiffs[9] + zp2 = splitdiffs[10] + zm2 = splitdiffs[11] + pp2 = splitdiffs[12] + mm2 = splitdiffs[13] + pm2 = splitdiffs[14] + mp2 = splitdiffs[15] + #################### + xs = [ pz1 + pz2, pz1 + pz2, pz1 + pp2, pz1 + pp2, pz1 + pm2, pz1 + pm2, + pp1 + pz2, pp1 + pz2, pp1 + pp2, pp1 + pp2, pp1 + pm2, pp1 + pm2, + pm1 + pz2, pm1 + pz2, pm1 + pp2, pm1 + pp2, pm1 + pm2, pm1 + pm2, + mz1 + mz2, mz1 + mz2, mz1 + mp2, mz1 + mp2, mz1 + mm2, mz1 + mm2, + mp1 + mz2, mp1 + mz2, mp1 + mp2, mp1 + mp2, mp1 + mm2, mp1 + mm2, + mm1 + mz2, mm1 + mz2, mm1 + mp2, mm1 + mp2, mm1 + mm2, mm1 + mm2, + zm1 + zp2, zm1 + zp2, zm1 + zp2, zm1 + zm2, zm1 + zm2, zm1 + zm2, + zp1 + zp2, zp1 + zp2, zp1 + zp2, zp1 + zm2, zp1 + zm2, zp1 + zm2] + elif (num_pts == 3) and (num_procs != 2): + if use_analytic == True: + xs = [] + pps = splitdiffs[::(num_pts-1)] + mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] + # the one vector with all pluses + xs.append(sum(pps)) + # the p vectors with one minus + for procloc, mm in enumerate(mms): + newvec = pps[0].copy() + newvec.loc[:]=0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + mm + xs.append(newvec) + else: + xs = splitdiffs + elif (num_pts == 5) and (num_procs != 2) and (fivetheories == "nobar"): + pzs = splitdiffs[::(num_pts-1)] + mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] + zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] + zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] + xs = [] + if use_analytic == True: + xs.append(sum(pzs)) + xs.append(sum(mzs)) + xs.append(sum(zps)) + # the p vectors with one minus + for procloc, zm in enumerate(zms): + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) + else: + # See Richard notes pg 20, first two vectors are just all the + #(+,0) and (-,0) elements respectively + xs.append(sum(pzs)) + xs.append(sum(mzs)) + # Generating the other 2^p vectors + loccombs = [p for p in product(range(2), repeat=num_procs)] + for loccomb in loccombs: + newvec = pzs[0].copy() + newvec.loc[:] = 0 + for index, entry in enumerate(loccomb): + if entry == 0: + newvec = newvec + zps[index] + elif entry == 1: + newvec = newvec + zms[index] + xs.append(newvec) + elif (num_pts == 5) and (num_procs != 2) and (fivetheories == "bar"): + pps = splitdiffs[::(num_pts-1)] + mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] + pms = shuffle_list(splitdiffs,2)[::(num_pts-1)] + mps = shuffle_list(splitdiffs,3)[::(num_pts-1)] + xs = [] + if use_analytic == True: + xs.append(sum(pps)) + xs.append(sum(mps)) + # the 2p vectors with one minus + for procloc, pm in enumerate(pms): + newvec = pms[0].copy() + newvec.loc[:] = 0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + pm + xs.append(newvec) + for procloc, mm in enumerate(mms): + newvec = mms[0].copy() + newvec.loc[:] = 0 + submps = mps.copy() + del submps[procloc] + newvec = newvec + sum(submps) + mm + xs.append(newvec) + else: + loccombs = [p for p in product(range(2), repeat=num_procs)] + for loccomb in loccombs: + newvec = pps[0].copy() + newvec.loc[:] = 0 + for index, entry in enumerate(loccomb): + if entry == 0: + newvec = newvec + pps[index] + elif entry == 1: + newvec = newvec + pms[index] + xs.append(newvec) + for loccomb in loccombs: + newvec = pps[0].copy() + newvec.loc[:] = 0 + for index, entry in enumerate(loccomb): + if entry == 0: + newvec = newvec + mps[index] + elif entry == 1: + newvec = newvec + mms[index] + xs.append(newvec) + elif (num_pts == 7) and (num_procs != 2) and (seventheories != "original"): + pzs = splitdiffs[::(num_pts-1)] + mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] + zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] + zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] + pps = shuffle_list(splitdiffs,4)[::(num_pts-1)] + mms = shuffle_list(splitdiffs,5)[::(num_pts-1)] + xs = [] + if use_analytic == True: + # 3pt-like part + xs.append(sum(pps)) + # the p vectors with one minus + for procloc, mm in enumerate(mms): + newvec = pps[0].copy() + newvec.loc[:]=0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + mm + xs.append(newvec) + # 5pt-like part + xs.append(sum(pzs)) + xs.append(sum(mzs)) + xs.append(sum(zps)) + # the p vectors with one minus + for procloc, zm in enumerate(zms): + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) + else: + # 3pt-like part + loccombs = [p for p in product(range(2), repeat=num_procs)] + for loccomb in loccombs: + newvec = pzs[0].copy() + newvec.loc[:] = 0 + for index, entry in enumerate(loccomb): + if entry == 0: + newvec = newvec + pps[index] + elif entry == 1: + newvec = newvec + mms[index] + xs.append(newvec) + # 5pt-like part + xs.append(sum(pzs)) + xs.append(sum(mzs)) + # Generating the other 2^p vectors + loccombs = [p for p in product(range(2), repeat=num_procs)] + for loccomb in loccombs: + newvec = pzs[0].copy() + newvec.loc[:] = 0 + for index, entry in enumerate(loccomb): + if entry == 0: + newvec = newvec + zps[index] + elif entry == 1: + newvec = newvec + zms[index] + xs.append(newvec) + elif (num_pts == 9) and (num_procs != 2): + pzs = splitdiffs[::(num_pts-1)] + mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] + zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] + zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] + pps = shuffle_list(splitdiffs,4)[::(num_pts-1)] + mms = shuffle_list(splitdiffs,5)[::(num_pts-1)] + pms = shuffle_list(splitdiffs,6)[::(num_pts-1)] + mps = shuffle_list(splitdiffs,7)[::(num_pts-1)] + xs = [] + if use_analytic == True: + xs.append(sum(pps)) + xs.append(sum(mps)) + xs.append(sum(zps)) + for procloc, zm in enumerate(zms): + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) + for procloc, pm in enumerate(pms): + newvec = pps[0].copy() + newvec.loc[:] = 0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + pm + xs.append(newvec) + for procloc, mm in enumerate(mms): + newvec = mps[0].copy() + newvec.loc[:] = 0 + submps = mps.copy() + del submps[procloc] + newvec = newvec + sum(submps) + mm + xs.append(newvec) + for procloc, pz in enumerate(pzs): + newvec = pps[0].copy() + newvec.loc[:] = 0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + pz + xs.append(newvec) + for procloc, mz in enumerate(mzs): + newvec = mps[0].copy() + newvec.loc[:] = 0 + submps = mps.copy() + del submps[procloc] + newvec = newvec + sum(submps) + mz + xs.append(newvec) + else: + # Generating first 2^p vectors + loccombs = [p for p in product(range(2), repeat=num_procs)] + for loccomb in loccombs: + newvec = pzs[0].copy() + newvec.loc[:] = 0 + for index, entry in enumerate(loccomb): + if entry == 0: + newvec = newvec + zps[index] + elif entry == 1: + newvec = newvec + zms[index] + xs.append(newvec) + loccombs2 = [p for p in product(range(3), repeat=num_procs)] + for loccomb2 in loccombs2: + newvec = pzs[0].copy() + newvec.loc[:] = 0 + for index, entry in enumerate(loccomb2): + if entry == 0: + newvec = newvec + pzs[index] + elif entry == 1: + newvec = newvec + pps[index] + elif entry == 2: + newvec = newvec + pms[index] + xs.append(newvec) + for loccomb2 in loccombs2: + newvec = pzs[0].copy() + newvec.loc[:] = 0 + for index, entry in enumerate(loccomb2): + if entry == 0: + newvec = newvec + mzs[index] + elif entry == 1: + newvec = newvec + mps[index] + elif entry == 2: + newvec = newvec + mms[index] + xs.append(newvec) + A = pd.concat(xs, axis=1) + if num_procs == 2: + covmat = N*A.dot(A.T) + else: + covmat = orig_matrix + ys = [x/np.linalg.norm(x) for x in xs] + for i in range(1, len(xs)): + for j in range(0,i): + ys[i] = ys[i] - (ys[i].T.dot(ys[j]))[0][0]*ys[j]/np.linalg.norm(ys[j]) + ys[i] = ys[i]/np.linalg.norm(ys[i]) + P = pd.concat(ys, axis=1) + # P = scipy.linalg.orth(A) + projected_matrix = (P.T).dot(covmat.dot(P)) + w, v_projected = la.eigh(projected_matrix) + v = P.dot(v_projected) return w, v def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, @@ -498,12 +849,6 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, w_max = w[np.argmax(w)] f = -shx_vector[0].values.T[0] all_projectors = np.sum(f*v.T, axis=1) -# if num_evals is not None: -# w_nonzero = w[-num_evals:] -# nonzero_locs = range(len(w)-num_evals, len(w)) -# elif evalue_cutoff is not None: -# w_nonzero = w[w>evalue_cutoff*w_max] -# nonzero_locs = np.nonzero(w>evalue_cutoff*w_max)[0] if eigenvalue_cutoff == True: mod_larg_neg_eval = np.abs(w[0]) nonzero_locs = np.nonzero(w>10*mod_larg_neg_eval)[0] @@ -520,17 +865,21 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, if loc >=0: v_nonzero.append(v[:,loc]) projectors = np.sum(f*v_nonzero, axis=1) - projected_evectors = np.zeros((len(projectors), (len(f)))) - for i, projector in enumerate(projectors): - projected_evectors[i] = projector*v_nonzero[i] + # Initialise array of zeros and set precision to same as FK tables + projected_evectors = np.zeros((len(projectors), (len(f))), dtype=np.float32) + for i in range(len(projectors)): + projected_evectors[i] = projectors[i]*v_nonzero[i] fmiss = f - np.sum(projected_evectors, axis=0) return w_nonzero, v_nonzero, projectors, f, fmiss, w_max, w, all_projectors -def cutoff(eigenvalue_cutoff:(bool, type(None)) = None): +def cutoff(theory_shift_test, eigenvalue_cutoff:(bool, type(None)) = None, + use_analytic:(bool, type(None)) = None): if eigenvalue_cutoff == True: cutoff = "10 times modulus of largest 'negative' eigenvalue" else: - cutoff = "Eigenvalues determined by projection onto space of non-zero eigenvalues" + cutoff = "Eigenvalues determined by projection onto space of non-zero eigenvalues." + if use_analytic == True: + cutoff = cutoff + "\n Linearly independent vectors determined analytically" print(f"cutoff = {cutoff}") return cutoff @@ -541,7 +890,8 @@ def theory_covmat_eigenvalues(theory_shift_test): projectors_scrambled = np.ndarray.tolist(projectors) ratio_scrambled = projectors_scrambled/s_scrambled table = pd.DataFrame([s_scrambled[::-1], projectors_scrambled[::-1], ratio_scrambled[::-1]], - index = [r'$s_a$', r'$\delta_a$', r'$\delta_a/s_a$']) + index = [r'$s_a$', r'$\delta_a$', r'$\delta_a/s_a$'], + columns = np.arange(1,len(s_scrambled)+1,1)) return table def efficiency(theory_shift_test): @@ -569,35 +919,45 @@ def validation_theory_chi2(theory_shift_test): return th_chi2 @figure -def projector_eigenvalue_ratio(theory_shift_test): +def projector_eigenvalue_ratio(theory_shift_test, + eigenvalue_cutoff:(bool, type(None)) = None, + use_analytic:(bool, type(None)) = None): surviving_evals = theory_shift_test[0][::-1] all_projectors = theory_shift_test[7][::-1] all_evals = theory_shift_test[6][::-1] + fmiss = theory_shift_test[4] + fmiss_mod = np.sqrt(np.sum(fmiss**2)) ratio = np.abs(all_projectors)/np.sqrt(np.abs(all_evals)) - masked_evals = np.zeros((len(all_evals))) - for loc, evalue in enumerate(all_evals): - if evalue in surviving_evals: - masked_evals[loc] = evalue - # num_evals_ignored = len(all_evals)-len(surviving_evals) - # # Ordering eigenvalues and their projectors at random - # randomise = np.arange(len(evals)) - # np.random.shuffle(randomise) - # evals = np.asarray(evals)[randomise] - # projectors = projectors[randomise] - # ratio = ratio[randomise] + # Initialise array of zeros and set precision to same as FK tables + masked_evals = np.zeros((len(all_evals)), dtype=np.float32) + for loc, eval in enumerate(all_evals): + if eval in surviving_evals: + masked_evals[loc] = eval + # Ordering according to shift vector + mask = np.argsort(np.abs(all_projectors))[::-1] + all_evals = np.asarray(all_evals)[mask] + all_projectors = all_projectors[mask] + ratio = ratio[mask] + masked_evals = masked_evals[mask] + xvals = np.arange(1,len(masked_evals)+1,1) fig, (ax1, ax2) = plt.subplots(2, figsize=(5,5)) - ax1.plot(np.abs(all_projectors), 'o', label = r'|$\delta_a$|') - ax1.plot(np.sqrt(np.abs(all_evals)), 'o', label = r'$|s_a|$') - ax1.plot(np.sqrt(np.abs(masked_evals)), 'o', label = r'surviving $|s_a|$', color='k') - ax2.plot(ratio, 'o', color="red") - ax1.set_title(f"Number of surviving eigenvalues = {len(surviving_evals)}", fontsize=10) - ax1.set_xlabel("a", fontsize=20) + ax1.plot(xvals, np.abs(all_projectors), 's', label = r'|$\delta_a$|') + ax1.plot(xvals, np.sqrt(np.abs(all_evals)), 'o', label = r'$|s_a|$') + if use_analytic == None: + ax1.plot(xvals, np.sqrt(np.abs(masked_evals)), 'o', label = r'surviving $|s_a|$', color='k') + ax1.plot(0, fmiss_mod, '*', label=r'$|\delta_{miss}|$', color='b') + ax2.plot(xvals,ratio, 'D', color="red") + ax2.plot(0,0, '.', color="w") + ax1.set_title(f"Number of eigenvalues = {len(surviving_evals)}", fontsize=10) ax1.set_yscale('log') ax2.set_yscale('log') -# ax1.set_ylim([all_evals[np.argmin(np.sqrt(np.abs(all_evals)))], -# all_evals[np.argmax(np.sqrt(np.abs(all_evals)))]]) + if eigenvalue_cutoff == True: + ax1.set_xscale('log') + ax2.set_xscale('log') ax1.legend() - # ax1.axvline(x=num_evals_ignored, color='k') + labels = [item.get_text() for item in ax1.get_xticklabels()] + ax1.set_xticklabels(labels) + ax2.set_xticklabels(labels) ax2.axhline(y=3, color='k', label=r'|$\delta_a$/$s_a$| = 3') ax2.legend() ax2.set_ylabel(r"|$\delta_a$/$s_a$|") @@ -608,11 +968,56 @@ def projector_eigenvalue_ratio(theory_shift_test): def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) fnorm = -shx_vector[0] + indexlist = list(matrix.index.values) + # adding process index for plotting + dsnames = [] + processnames= [] + ids = [] + for index in indexlist: + name = index[0] + i = index[1] + dsnames.append(name) + ids.append(i) + proc = _process_lookup(name) + processnames.append(proc) + tripleindex = pd.MultiIndex.from_arrays([processnames, dsnames, ids], + names = ("process", "dataset", "id")) + matrix = pd.DataFrame(matrix.values, index=tripleindex, columns=tripleindex) + matrix.sort_index(0, inplace=True) + matrix.sort_index(1, inplace=True) + oldindex=matrix.index.tolist() + newindex = sorted(oldindex, key=_get_key) + matrix = matrix.reindex(newindex) + matrix = (matrix.T.reindex(newindex)).T sqrtdiags = np.sqrt(np.diag(matrix)) + fnorm = pd.DataFrame(fnorm.values, index=tripleindex) + fnorm.sort_index(0, inplace=True) + fnorm = fnorm.reindex(newindex) fig, ax = plt.subplots(figsize=(20,10)) ax.plot(sqrtdiags*100, '.-', label="Theory", color = "red") + ax.plot(-sqrtdiags*100, '.-', color = "red") ax.plot(fnorm.values*100, '.-', label="NNLO-NLO Shift", color = "black") - ticklocs, ticklabels = matrix_plot_labels(matrix) + ticklocs, ticklabels, startlocs = matrix_plot_labels(matrix) + plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=20) + ax.vlines(startlocs, -70, 70, linestyles='dashed') + ax.margins(x=0, y=0) + ax.set_ylabel("% of central theory", fontsize=20) + ax.legend(fontsize=20) + ax.yaxis.set_tick_params(labelsize=20) + return fig + +@figure +def plot_shift_scaleavg_comparison(shx_vector, thx_vector, + allthx_vector, thx_covmat): + diffs = [((thx_vector[0] - scalevarvector)/thx_vector[0]) + for scalevarvector in allthx_vector[0]] + diffsconcat = pd.concat(diffs, axis=1) + avgdiffs = diffsconcat.mean(axis=1) + fig, ax = plt.subplots(figsize=(20,10)) + ax.plot(100*avgdiffs.values, '.-', + label=r"Average of $\Delta$s",color = "blue") + ax.plot(-100*shx_vector[0].values, '.-', label="NNLO-NLO shift", color = "black") + ticklocs, ticklabels, startlocs = matrix_plot_labels(thx_covmat[0]) plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=20) ax.set_ylabel("% of central theory", fontsize=20) ax.legend(fontsize=20) From 4b18e049fc2d5bfec177c1daeac711f535ed4fb0 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 6 Mar 2019 16:30:27 +0000 Subject: [PATCH 125/429] importin necessary functions and cleanup --- validphys2/src/validphys/theorycovariance/construction.py | 7 +++---- validphys2/src/validphys/theorycovariance/tests.py | 8 ++++---- 2 files changed, 7 insertions(+), 8 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index ef873e3c47..1847233cdb 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -80,7 +80,7 @@ def dataset_index_byprocess(experiments_index): experiments_index.droplevel(level="experiment") newindex = pd.MultiIndex.from_arrays([processnames, dsnames, ids], names = ("process", "dataset", "id")) -return newindex + return newindex @make_argcheck def _check_correct_theory_combination_theoryconfig(collected_theoryids, @@ -245,7 +245,7 @@ def _process_lookup(name): "NTVNUDMN": "DIS CC", "NTVNBDMN": "DIS CC" } proc = process_dictionary[name] -return proc + return proc def dataset_names(commondata_experiments): """Returns a list of the names of the datasets, in the same order as @@ -256,8 +256,7 @@ def dataset_names(commondata_experiments): ProcessInfo = namedtuple("ProcessInfo", ('theory', 'namelist', 'sizes')) -def combine_by_type(process_lookup, - each_dataset_results_bytheory, dataset_names): +def combine_by_type(each_dataset_results_bytheory, dataset_names): """Groups the datasets according to processes and returns three objects: theories_by_process: the relevant theories grouped by process type ordered_names: dictionary with keys of process type and values being the diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index c7ef7451b0..f862662297 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -25,7 +25,7 @@ from validphys.theorycovariance.construction import _check_correct_theory_combination from validphys.theorycovariance.construction import combine_by_type, process_starting_points -from validphys.theorycovariance.construction import theory_corrmat, process_lookup +from validphys.theorycovariance.construction import theory_corrmat from validphys.theorycovariance.construction import commondata_experiments, results_bytheoryids from validphys.theorycovariance.construction import experiments_results_theory, data_theory_diff from validphys.theorycovariance.construction import theoryids_experiments_central_values @@ -34,7 +34,7 @@ from validphys.theorycovariance.construction import covmap, covs_pt_prescrip, theory_covmat_custom from validphys.theorycovariance.construction import chi2_impact_custom, chi2_diag_only from validphys.theorycovariance.construction import total_covmat_experiments, total_covmat_datasets -from validphys.theorycovariance.construction import theory_diagcovmat, theory_covmat +from validphys.theorycovariance.construction import theory_diagcovmat, theory_covmat, _check_correct_theory_combination_theoryconfig, collected_theoryids from validphys.theorycovariance.output import matrix_plot_labels from validphys.theorycovariance.output import plot_covmat_heatmap, plot_corrmat_heatmap @@ -255,8 +255,8 @@ def plot_matched_datasets_shift_matrix_correlations( all_matched_results = collect('matched_dataspecs_results', ['dataspecs']) -def combine_by_type_dataspecs(process_lookup, all_matched_results, matched_dataspecs_dataset_name): - return combine_by_type(process_lookup, all_matched_results, matched_dataspecs_dataset_name) +def combine_by_type_dataspecs(all_matched_results, matched_dataspecs_dataset_name): + return combine_by_type(all_matched_results, matched_dataspecs_dataset_name) datapsecs_theoryids = collect('theoryid', ['theoryconfig', 'original', 'dataspecs']) From 23bd718a432b2d57f2901fa471ad7a7bcdec972e Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 7 Mar 2019 09:41:12 +0000 Subject: [PATCH 126/429] updating config.py with covmat_cuts2 --- validphys2/src/validphys/config.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 4245e7ce25..0ec2fcf19e 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -475,7 +475,7 @@ def produce_matched_datasets_from_dataspecs(self, dataspecs): with self.set_context(ns=self._curr_ns.new_child(spec)): _, experiments = self.parse_from_( None, 'experiments', write=False) - names = {(e.name, ds.name): (ds, dsin) + names = {(e.name, ds.name, _process_lookup(ds.name)): (ds, dsin) for e in experiments for ds, dsin in zip(e.datasets, e)} all_names.append(names) @@ -483,7 +483,7 @@ def produce_matched_datasets_from_dataspecs(self, dataspecs): res = [] for k in used_set: - inres = {'experiment_name': k[0], 'dataset_name': k[1]} + inres = {'experiment_name': k[0], 'dataset_name': k[1], 'process': k[2]} #TODO: Should this have the same name? inner_spec_list = inres['dataspecs'] = [] for ispec, spec in enumerate(dataspecs): @@ -494,7 +494,7 @@ def produce_matched_datasets_from_dataspecs(self, dataspecs): }, spec) inner_spec_list.append(d) res.append(inres) - res.sort(key=lambda x: (x['experiment_name'], x['dataset_name'])) + res.sort(key=lambda x: (x['process'], x['experiment_name'])) return res def produce_matched_positivity_from_dataspecs(self, dataspecs): From 3c3cc31b7a074779a3e16d141aba64c0600edf3f Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 7 Mar 2019 09:43:23 +0000 Subject: [PATCH 127/429] importing _process_lookup --- validphys2/src/validphys/config.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 0ec2fcf19e..298803836c 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -28,6 +28,8 @@ from validphys.paramfits.config import ParamfitsConfig +from validphys.theorycovariance.construction import _process_lookup + log = logging.getLogger(__name__) class Environment(Environment): From d7c868efcac18837aecd7f53fc1806c718827679 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 7 Mar 2019 10:16:07 +0000 Subject: [PATCH 128/429] debugging covmat_cuts2 imports --- .../validphys/theorycovariance/construction.py | 7 +++---- .../src/validphys/theorycovariance/output.py | 18 ++++++++++-------- .../src/validphys/theorycovariance/tests.py | 18 +++++++++--------- 3 files changed, 22 insertions(+), 21 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 1847233cdb..ac04e080ae 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -19,7 +19,6 @@ from validphys.results import experiments_central_values, results from validphys.results import Chi2Data from validphys.calcutils import calc_chi2, all_chi2_theory, central_chi2_theory -from validphys.plotoptions import get_info log = logging.getLogger(__name__) @@ -64,7 +63,7 @@ def _check_correct_theory_combination_internal(theoryids, xifs == correct_xifs and xirs == correct_xirs, "Choice of input theories does not correspond to a valid " "prescription for theory covariance matrix calculation") - + collected_theoryids = collect('theoryids', ['theoryconfig',]) _check_correct_theory_combination = make_argcheck(_check_correct_theory_combination_internal) @@ -85,7 +84,7 @@ def dataset_index_byprocess(experiments_index): @make_argcheck def _check_correct_theory_combination_theoryconfig(collected_theoryids, fivetheories:(str, type(None))=None): - _check_correct_theory_combination_internal(collected_theoryids[0], fivetheories) + _check_correct_theory_combination_internal(collected_theoryids[0]) def make_scale_var_covmat(predictions): """Takes N theory predictions at different scales and applies N-pt scale @@ -270,7 +269,7 @@ def combine_by_type(each_dataset_results_bytheory, dataset_names): for dataset, name in zip(each_dataset_results_bytheory, dataset_names): theory_centrals = [x[1].central_value for x in dataset] dataset_size[name] = len(theory_centrals[0]) - proc_type = _process_lookup[name] + proc_type = _process_lookup(name) ordered_names[proc_type].append(name) theories_by_process[proc_type].append(theory_centrals) for key, item in theories_by_process.items(): diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index 941f68b9e9..426fb3e52d 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -7,6 +7,8 @@ import logging +from math import inf +import pandas as pd import numpy as np import scipy.linalg as la import matplotlib.pyplot as plt @@ -49,9 +51,9 @@ def experiments_chi2_table_diagtheory(experiments, pdf, return experiments_chi2_table(experiments, pdf, abs_chi2_data_diagtheory_experiment, abs_chi2_data_diagtheory_dataset) - + def matrix_plot_labels(df): - """Returns the tick locations and labels, and the starting + """Returns the tick locations and labels, and the starting point values for each category, based on a dataframe to be plotted. The dataframe is assumed to be multiindexed by (process, dataset, points) or else (dataset, points). The tick @@ -80,12 +82,12 @@ def matrix_plot_labels(df): return ticklocs, ticklabels, startlocs def plot_covmat_heatmap(covmat, title, dataset_index_byprocess): - """Matrix plot of a covariance matrix. + """Matrix plot of a covariance matrix. WARNING: Plotting is ordered by process and dataset in the custom order given in _procorder and _dsorder. In order for this to work - the covmat provided MUST be indexed and ordered the same as + the covmat provided MUST be indexed and ordered the same as experiments_covmat, that is by (exp, dataset, point) in the order - of experiments and datasets listed in the runcard. Otherwise the + of experiments and datasets listed in the runcard. Otherwise the labels will not correspond to the correct points.""" df = pd.DataFrame(covmat.values, index=dataset_index_byprocess, columns=dataset_index_byprocess) @@ -117,7 +119,7 @@ def plot_covmat_heatmap(covmat, title, dataset_index_byprocess): ax.hlines(startlocs, 0, len(matrix), linestyles='dashed') ax.margins(x=0, y=0) return fig - + _procorder = ('DIS NC', 'DIS CC', 'DY', 'JETS', 'TOP') _dsorder = ( 'BCDMSP', 'BCDMSD', 'SLACP', 'SLACD', 'NMC', 'NMCPD', @@ -143,7 +145,7 @@ def _get_key(element): z2 = z1 newelement = (x2, y2, z2) return newelement - + def plot_corrmat_heatmap(corrmat, title, dataset_index_byprocess): """Matrix plot of a correlation matrix""" df = pd.DataFrame(corrmat.values, index=dataset_index_byprocess, @@ -284,7 +286,7 @@ def plot_covdiff_heatmap_custom(theory_covmat_custom, experiments_covmat, + f"covariance matrices for {l} points", dataset_index_byprocess) return fig - + @figure def plot_diag_cov_comparison(theory_covmat_custom, experiments_covmat, experiments_data, theoryids, dataset_index_byprocess): diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index f862662297..7d5b2df485 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -33,10 +33,10 @@ from validphys.theorycovariance.construction import each_dataset_results, dataset_names from validphys.theorycovariance.construction import covmap, covs_pt_prescrip, theory_covmat_custom from validphys.theorycovariance.construction import chi2_impact_custom, chi2_diag_only -from validphys.theorycovariance.construction import total_covmat_experiments, total_covmat_datasets +from validphys.theorycovariance.construction import total_covmat_experiments, total_covmat_datasets, _process_lookup from validphys.theorycovariance.construction import theory_diagcovmat, theory_covmat, _check_correct_theory_combination_theoryconfig, collected_theoryids -from validphys.theorycovariance.output import matrix_plot_labels +from validphys.theorycovariance.output import matrix_plot_labels, _get_key from validphys.theorycovariance.output import plot_covmat_heatmap, plot_corrmat_heatmap log = logging.getLogger(__name__) @@ -130,7 +130,7 @@ def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, ]) index = pd.MultiIndex.from_arrays( - [expnames, dsnames, point_indexes], + [dsnames, point_indexes], names=["Dataset name", "Point"]) return pd.DataFrame(mat, columns=index, index=index) @@ -157,7 +157,7 @@ def shift_vector(matched_dataspecs_dataset_prediction_shift, ]) index = pd.MultiIndex.from_arrays( - [expnames, dsnames, point_indexes], + [dsnames, point_indexes], names=["Dataset name", "Point"]) return pd.DataFrame(norm_shifts, index=index) @@ -187,7 +187,7 @@ def theory_vector(matched_dataspecs_dataset_theory): ]) index = pd.MultiIndex.from_arrays( - [expnames, dsnames, point_indexes], + [dsnames, point_indexes], names=["Dataset name", "Point"]) return pd.DataFrame(all_theory, index=index) @@ -217,7 +217,7 @@ def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_data for val in matched_dataspecs_dataset_theory ]) index = pd.MultiIndex.from_arrays( - [expnames, dsnames, point_indexes], + [dsnames, point_indexes], names=["Dataset name", "Point"]) theory_vectors = [] for theoryvector in all_theory: @@ -228,7 +228,7 @@ def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_data @figure def plot_matched_datasets_shift_matrix(matched_datasets_shift_matrix): """Heatmap plot of matched_datasets_shift_matrix""" - return plot_covmat_heatmap(matched_datasets_shift_matrix, + return plot_covmat_heatmap(matched_datasets_shift_matrix, "Shift outer product matrix") @table @@ -299,7 +299,7 @@ def matched_experiments_index(matched_dataspecs_experiment_name, matched_dataspecs_dataset_name, all_matched_data_lengths): - enames = matched_dataspecs_experiment_name + # enames = matched_dataspecs_experiment_name dsnames = matched_dataspecs_dataset_name lens = all_matched_data_lengths #build index @@ -317,7 +317,7 @@ def matched_experiments_index(matched_dataspecs_experiment_name, ]) index = pd.MultiIndex.from_arrays( - [expnames, dsnames, point_indexes], + [dsnames, point_indexes], names=["Dataset name", "Point"]) return index From 89754bb3e86d92bd74e83b0fe7f4322460fbec7c Mon Sep 17 00:00:00 2001 From: wilsonm Date: Thu, 7 Mar 2019 11:20:09 +0000 Subject: [PATCH 129/429] minor changes to get tests to pass --- libnnpdf/src/chisquared.cc | 2 +- validphys2/src/validphys/tests/test_regressions.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/libnnpdf/src/chisquared.cc b/libnnpdf/src/chisquared.cc index ebd5736f08..5698a8e9c7 100644 --- a/libnnpdf/src/chisquared.cc +++ b/libnnpdf/src/chisquared.cc @@ -122,7 +122,7 @@ namespace NNPDF for (int i=0; i ComputeSqrtMat(matrix const& inmatrix) diff --git a/validphys2/src/validphys/tests/test_regressions.py b/validphys2/src/validphys/tests/test_regressions.py index 8a133e875f..739f8ddb3b 100644 --- a/validphys2/src/validphys/tests/test_regressions.py +++ b/validphys2/src/validphys/tests/test_regressions.py @@ -54,7 +54,7 @@ def f_(*args, **kwargs): def test_expcovmat(data): pdf, exps = data eindex = results.experiments_index(exps) - mat = results.experiments_covmat(exps, eindex, t0set=None) + mat = results.experiments_covmat_no_table(exps, eindex, t0set=None) covmats = [] for exp in exps: cd = exp.datasets[0].commondata.load() From 2e44e05c44aca7a41117fae131ea185aeeca6877 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 7 Mar 2019 11:38:38 +0000 Subject: [PATCH 130/429] fixing bugs with covmat_cuts2 --- .../theorycovariance/construction.py | 22 ++++++------ .../src/validphys/theorycovariance/output.py | 6 ++-- .../src/validphys/theorycovariance/tests.py | 36 +++++++++---------- 3 files changed, 33 insertions(+), 31 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index ac04e080ae..41a895a5d9 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -25,7 +25,6 @@ theoryids_experiments_central_values = collect(experiments_central_values, ('theoryids',)) -@make_argcheck def _check_correct_theory_combination_internal(theoryids, fivetheories:(str, type(None)) = None): """Checks that a valid theory combination corresponding to an existing @@ -64,10 +63,16 @@ def _check_correct_theory_combination_internal(theoryids, "Choice of input theories does not correspond to a valid " "prescription for theory covariance matrix calculation") -collected_theoryids = collect('theoryids', ['theoryconfig',]) +collected_theoryids = collect('theoryids', + ['theoryconfig',]) _check_correct_theory_combination = make_argcheck(_check_correct_theory_combination_internal) +@make_argcheck +def _check_correct_theory_combination_theoryconfig(collected_theoryids, + fivetheories:(str, type(None))=None): + _check_correct_theory_combination_internal(collected_theoryids[0], fivetheories) + def dataset_index_byprocess(experiments_index): """Return a multiindex with index per dataset per point, ordered by process""" @@ -80,12 +85,6 @@ def dataset_index_byprocess(experiments_index): newindex = pd.MultiIndex.from_arrays([processnames, dsnames, ids], names = ("process", "dataset", "id")) return newindex - -@make_argcheck -def _check_correct_theory_combination_theoryconfig(collected_theoryids, - fivetheories:(str, type(None))=None): - _check_correct_theory_combination_internal(collected_theoryids[0]) - def make_scale_var_covmat(predictions): """Takes N theory predictions at different scales and applies N-pt scale variations to produce a covariance matrix.""" @@ -410,7 +409,7 @@ def theory_covmat_custom(covs_pt_prescrip, covmap, experiments_index): )/int(np.sqrt(len(covs_pt_prescrip)))) # Initialise arrays of zeros and set precision to same as FK tables mat = np.zeros((matlength,matlength), dtype=np.float32) - cov_by_exp = np.zeros((matlength,matlength)) + cov_by_exp = np.zeros((matlength,matlength), dtype=np.float32) for locs in covs_pt_prescrip: cov = covs_pt_prescrip[locs] mat[locs[0]:(len(cov) + locs[0]),locs[1]:(len(cov.T)+locs[1])] = cov @@ -612,7 +611,8 @@ def chi2_impact_custom(theory_covmat_custom, experiments_covmat, def theory_diagcovmat(theory_covmat): """Returns theory covmat with only diagonal values""" s = theory_covmat.values - s_diag = np.zeros((len(s),len(s))) + # Initialise array of zeros and set precision to same as FK tables + s_diag = np.zeros((len(s),len(s)), dtype=np.float32) np.fill_diagonal(s_diag, np.diag(s)) return s_diag @@ -658,4 +658,4 @@ def abs_chi2_data_diagtheory_dataset(each_dataset_results, total_covmat_diagtheory_datasets): """ For a diagonal theory covmat """ return abs_chi2_data_theory_dataset(each_dataset_results, - total_covmat_diagtheory_datasets) + total_covmat_diagtheory_datasets) diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index 426fb3e52d..7474980bc0 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -30,10 +30,11 @@ from validphys.theorycovariance.construction import experimentsplusblocktheory_normcovmat from validphys.theorycovariance.construction import experimentsplustheory_normcovmat_custom from validphys.theorycovariance.construction import experimentsplusblocktheory_corrmat -from validphys.theorycovariance.construction import experimentsplustheory_corrmat_custom +from validphys.theorycovariance.construction import experimentsplustheory_corrmat_custom, dataset_index_byprocess log = logging.getLogger(__name__) + @table def experiments_chi2_table_theory(experiments, pdf, abs_chi2_data_theory_experiment, @@ -146,6 +147,7 @@ def _get_key(element): newelement = (x2, y2, z2) return newelement +@figure def plot_corrmat_heatmap(corrmat, title, dataset_index_byprocess): """Matrix plot of a correlation matrix""" df = pd.DataFrame(corrmat.values, index=dataset_index_byprocess, @@ -378,4 +380,4 @@ def plot_datasets_chi2_theory(experiments, datalabels=["experiment + theory", "experiment"]) ax.set_title(r"$\chi^2$ distribution for datasets") ax.legend(fontsize=14) - return fig + return fig \ No newline at end of file diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 7d5b2df485..bdf6998bdf 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -49,22 +49,22 @@ def _check_valid_shift_matrix_threshold_method(shift_threshold:(int, float, None """Checks that a valid method 1 or 2 is chosen where a threshold for removing elements of the shift correlation matrix has been specified""" opts = {1,2} - if shift_threshold is not None: + if shift_threshold != None: check(method is not None, "A threshold for removing elements of the " "shift correlation matrix has been specified but no choice of " "method (1 or 2) was provided") check(method in opts, "Invalid choice of method for removing shift correlation matrix " - "elements. Please choose 1 or 2.") +"elements. Please choose 1 or 2.") LabeledShifts = namedtuple('LabeledShifts', ('experiment_name', 'dataset_name', 'shifts')) + @check_two_dataspecs def dataspecs_dataset_prediction_shift(matched_dataspecs_results, experiment_name, dataset_name): """Compute the differnce in theory predictions between two dataspecs. This can be used in combination with `matched_datasets_from_dataspecs` - It returns a ``LabeledShifts`` containing ``dataset_name``, ``experiment_name`` and``shifts``. """ @@ -116,10 +116,10 @@ def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, else: pass #build index - # expnames = np.concatenate([ - # np.full(len(val.shifts), val.experiment_name, dtype=object) - # for val in matched_dataspecs_dataset_prediction_shift - # ]) + # expnames = np.concatenate([ + # np.full(len(val.shifts), val.experiment_name, dtype=object) + # for val in matched_dataspecs_dataset_prediction_shift + # ]) dsnames = np.concatenate([ np.full(len(val.shifts), val.dataset_name, dtype=object) for val in matched_dataspecs_dataset_prediction_shift @@ -173,10 +173,10 @@ def theory_vector(matched_dataspecs_dataset_theory): all_theory = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_theory]) #build index -# expnames = np.concatenate([ -# np.full(len(val.shifts), val.experiment_name, dtype=object) -# for val in matched_dataspecs_dataset_theory -# ]) + # expnames = np.concatenate([ + # np.full(len(val.shifts), val.experiment_name, dtype=object) + # for val in matched_dataspecs_dataset_theory + # ]) dsnames = np.concatenate([ np.full(len(val.shifts), val.dataset_name, dtype=object) for val in matched_dataspecs_dataset_theory @@ -202,11 +202,11 @@ def dataspecs_dataset_alltheory(matched_dataspecs_results, experiment_name, data def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_dataset_theory): all_theory = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_alltheory], axis=1) -# expnames = np.concatenate([ -# np.full(len(val.shifts), -# val.experiment_name, dtype=object) -# for val in matched_dataspecs_dataset_theory -# ]) + # expnames = np.concatenate([ + # np.full(len(val.shifts), + # val.experiment_name, dtype=object) + # for val in matched_dataspecs_dataset_theory + # ]) dsnames = np.concatenate([ np.full(len(val.shifts), val.dataset_name, dtype=object) @@ -229,7 +229,7 @@ def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_data def plot_matched_datasets_shift_matrix(matched_datasets_shift_matrix): """Heatmap plot of matched_datasets_shift_matrix""" return plot_covmat_heatmap(matched_datasets_shift_matrix, - "Shift outer product matrix") + "Shift outer product matrix") @table def matched_datasets_shift_matrix_correlations(matched_datasets_shift_matrix): @@ -299,7 +299,7 @@ def matched_experiments_index(matched_dataspecs_experiment_name, matched_dataspecs_dataset_name, all_matched_data_lengths): - # enames = matched_dataspecs_experiment_name + enames = matched_dataspecs_experiment_name dsnames = matched_dataspecs_dataset_name lens = all_matched_data_lengths #build index From f78a31faa1e2a77f2e8771e6b4b3ff0c81b81087 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 8 Mar 2019 14:17:42 +0000 Subject: [PATCH 131/429] removing old non-analytic method for 2 procs --- .../src/validphys/theorycovariance/tests.py | 104 ++---------------- 1 file changed, 8 insertions(+), 96 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index bdf6998bdf..24ae158cd3 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -469,7 +469,7 @@ def shuffle_list(l, shift): w = None v = None else: - orig_matrix = (thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])))#.reorder_levels(['Dataset name', + covmat = (thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])))#.reorder_levels(['Dataset name', #'Experiment name', #'Point']) # constructing shift vectors @@ -496,91 +496,8 @@ def shuffle_list(l, shift): splitdiff.loc[ds] = 0 splitdiffs.append(splitdiff) num_procs = len(procdict) - if (num_pts == 3) and (num_procs == 2): - N = (1/4) - # defining key - pp1 = splitdiffs[0] - mm1 = splitdiffs[1] - pp2 = splitdiffs[2] - mm2 = splitdiffs[3] - ################### - xs = [pp1 + pp2, pp1 + mm2, mm1 + pp2, mm1 + mm2] - elif (num_pts == 5) and (num_procs == 2) and (fivetheories == "nobar"): - N = (1/4) - # defining key - pz1 = splitdiffs[0] - mz1 = splitdiffs[1] - zp1 = splitdiffs[2] - zm1 = splitdiffs[3] - pz2 = splitdiffs[4] - mz2 = splitdiffs[5] - zp2 = splitdiffs[6] - zm2 = splitdiffs[7] - ################### - xs = [pz1 + pz2, pz1 + pz2, mz1 + mz2, mz1 + mz2, - zp1 + zp2, zp1 + zm2, zm1 + zp2, zm1 + zm2 ] - elif (num_pts == 5) and (num_procs == 2) and (fivetheories == "bar"): - N = (1/4) - # defining key - pp1 = splitdiffs[0] - mm1 = splitdiffs[1] - pm1 = splitdiffs[2] - mp1 = splitdiffs[3] - pp2 = splitdiffs[4] - mm2 = splitdiffs[5] - pm2 = splitdiffs[6] - mp2 = splitdiffs[7] - ################### - xs = [pp1 + pp2, pp1 + pm2, mm1 + mp2, mm1 + mm2, - pm1 + pp2, pm1 + pm2, mp1 + mp2, mp1 + mm2 ] - elif (num_pts == 7) and (num_procs == 2) and (seventheories != "original"): - N = (1/6) - # defining key - pz1 = splitdiffs[0] - mz1 = splitdiffs[1] - zp1 = splitdiffs[2] - zm1 = splitdiffs[3] - pp1 = splitdiffs[4] - mm1 = splitdiffs[5] - pz2 = splitdiffs[6] - mz2 = splitdiffs[7] - zp2 = splitdiffs[8] - zm2 = splitdiffs[9] - pp2 = splitdiffs[10] - mm2 = splitdiffs[11] - #################### - xs = [pz1 + pz2, mz1 + mz2, zp1 + zp2, zm1 + zp2, pp1 + pp2, - mm1 + pp2, pz1 + pz2, mz1 + mz2, zp1 + zm2, zm1 + zm2, - pp1 + mm2, mm1 + mm2] - elif (num_pts == 9) and (num_procs == 2): - N = (1/24) - # defining key - pz1 = splitdiffs[0] - mz1 = splitdiffs[1] - zp1 = splitdiffs[2] - zm1 = splitdiffs[3] - pp1 = splitdiffs[4] - mm1 = splitdiffs[5] - pm1 = splitdiffs[6] - mp1 = splitdiffs[7] - pz2 = splitdiffs[8] - mz2 = splitdiffs[9] - zp2 = splitdiffs[10] - zm2 = splitdiffs[11] - pp2 = splitdiffs[12] - mm2 = splitdiffs[13] - pm2 = splitdiffs[14] - mp2 = splitdiffs[15] - #################### - xs = [ pz1 + pz2, pz1 + pz2, pz1 + pp2, pz1 + pp2, pz1 + pm2, pz1 + pm2, - pp1 + pz2, pp1 + pz2, pp1 + pp2, pp1 + pp2, pp1 + pm2, pp1 + pm2, - pm1 + pz2, pm1 + pz2, pm1 + pp2, pm1 + pp2, pm1 + pm2, pm1 + pm2, - mz1 + mz2, mz1 + mz2, mz1 + mp2, mz1 + mp2, mz1 + mm2, mz1 + mm2, - mp1 + mz2, mp1 + mz2, mp1 + mp2, mp1 + mp2, mp1 + mm2, mp1 + mm2, - mm1 + mz2, mm1 + mz2, mm1 + mp2, mm1 + mp2, mm1 + mm2, mm1 + mm2, - zm1 + zp2, zm1 + zp2, zm1 + zp2, zm1 + zm2, zm1 + zm2, zm1 + zm2, - zp1 + zp2, zp1 + zp2, zp1 + zp2, zp1 + zm2, zp1 + zm2, zp1 + zm2] - elif (num_pts == 3) and (num_procs != 2): + # treating each prescription on a case-by-case basis + if (num_pts == 3): if use_analytic == True: xs = [] pps = splitdiffs[::(num_pts-1)] @@ -597,7 +514,7 @@ def shuffle_list(l, shift): xs.append(newvec) else: xs = splitdiffs - elif (num_pts == 5) and (num_procs != 2) and (fivetheories == "nobar"): + elif (num_pts == 5) and (fivetheories == "nobar"): pzs = splitdiffs[::(num_pts-1)] mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] @@ -631,7 +548,7 @@ def shuffle_list(l, shift): elif entry == 1: newvec = newvec + zms[index] xs.append(newvec) - elif (num_pts == 5) and (num_procs != 2) and (fivetheories == "bar"): + elif (num_pts == 5) and (fivetheories == "bar"): pps = splitdiffs[::(num_pts-1)] mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] pms = shuffle_list(splitdiffs,2)[::(num_pts-1)] @@ -675,7 +592,7 @@ def shuffle_list(l, shift): elif entry == 1: newvec = newvec + mms[index] xs.append(newvec) - elif (num_pts == 7) and (num_procs != 2) and (seventheories != "original"): + elif (num_pts == 7) and (seventheories != "original"): pzs = splitdiffs[::(num_pts-1)] mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] @@ -732,7 +649,7 @@ def shuffle_list(l, shift): elif entry == 1: newvec = newvec + zms[index] xs.append(newvec) - elif (num_pts == 9) and (num_procs != 2): + elif (num_pts == 9): pzs = splitdiffs[::(num_pts-1)] mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] @@ -816,18 +733,13 @@ def shuffle_list(l, shift): elif entry == 2: newvec = newvec + mms[index] xs.append(newvec) - A = pd.concat(xs, axis=1) - if num_procs == 2: - covmat = N*A.dot(A.T) - else: - covmat = orig_matrix + # Orthonormalising vectors according to Gram-Schmidt ys = [x/np.linalg.norm(x) for x in xs] for i in range(1, len(xs)): for j in range(0,i): ys[i] = ys[i] - (ys[i].T.dot(ys[j]))[0][0]*ys[j]/np.linalg.norm(ys[j]) ys[i] = ys[i]/np.linalg.norm(ys[i]) P = pd.concat(ys, axis=1) - # P = scipy.linalg.orth(A) projected_matrix = (P.T).dot(covmat.dot(P)) w, v_projected = la.eigh(projected_matrix) v = P.dot(v_projected) From c651e3351993290e5b15966d950c0cb40f765445 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 8 Mar 2019 14:54:44 +0000 Subject: [PATCH 132/429] removing old types of tests --- .../src/validphys/theorycovariance/tests.py | 325 ++++++------------ 1 file changed, 103 insertions(+), 222 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 24ae158cd3..31d3c65adc 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -456,8 +456,7 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, collected_theoryids, fivetheories:(str, type(None)) = None, seventheories:(str, type(None)) = None, - eigenvalue_cutoff:(bool, type(None)) = None, - use_analytic:(bool, type(None)) = None): + eigenvalue_cutoff:(bool, type(None)) = None): def shuffle_list(l, shift): i=0 newlist = l.copy() @@ -498,100 +497,59 @@ def shuffle_list(l, shift): num_procs = len(procdict) # treating each prescription on a case-by-case basis if (num_pts == 3): - if use_analytic == True: - xs = [] - pps = splitdiffs[::(num_pts-1)] - mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] - # the one vector with all pluses - xs.append(sum(pps)) - # the p vectors with one minus - for procloc, mm in enumerate(mms): - newvec = pps[0].copy() - newvec.loc[:]=0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + mm - xs.append(newvec) - else: - xs = splitdiffs + xs = [] + pps = splitdiffs[::(num_pts-1)] + mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] + # the one vector with all pluses + xs.append(sum(pps)) + # the p vectors with one minus + for procloc, mm in enumerate(mms): + newvec = pps[0].copy() + newvec.loc[:]=0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + mm + xs.append(newvec) elif (num_pts == 5) and (fivetheories == "nobar"): pzs = splitdiffs[::(num_pts-1)] mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] xs = [] - if use_analytic == True: - xs.append(sum(pzs)) - xs.append(sum(mzs)) - xs.append(sum(zps)) - # the p vectors with one minus - for procloc, zm in enumerate(zms): - newvec = zps[0].copy() - newvec.loc[:] = 0 - subzps = zps.copy() - del subzps[procloc] - newvec = newvec + sum(subzps) + zm - xs.append(newvec) - else: - # See Richard notes pg 20, first two vectors are just all the - #(+,0) and (-,0) elements respectively - xs.append(sum(pzs)) - xs.append(sum(mzs)) - # Generating the other 2^p vectors - loccombs = [p for p in product(range(2), repeat=num_procs)] - for loccomb in loccombs: - newvec = pzs[0].copy() - newvec.loc[:] = 0 - for index, entry in enumerate(loccomb): - if entry == 0: - newvec = newvec + zps[index] - elif entry == 1: - newvec = newvec + zms[index] - xs.append(newvec) + xs.append(sum(pzs)) + xs.append(sum(mzs)) + xs.append(sum(zps)) + # the p vectors with one minus + for procloc, zm in enumerate(zms): + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) elif (num_pts == 5) and (fivetheories == "bar"): pps = splitdiffs[::(num_pts-1)] mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] pms = shuffle_list(splitdiffs,2)[::(num_pts-1)] mps = shuffle_list(splitdiffs,3)[::(num_pts-1)] xs = [] - if use_analytic == True: - xs.append(sum(pps)) - xs.append(sum(mps)) - # the 2p vectors with one minus - for procloc, pm in enumerate(pms): - newvec = pms[0].copy() - newvec.loc[:] = 0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + pm - xs.append(newvec) - for procloc, mm in enumerate(mms): - newvec = mms[0].copy() - newvec.loc[:] = 0 - submps = mps.copy() - del submps[procloc] - newvec = newvec + sum(submps) + mm - xs.append(newvec) - else: - loccombs = [p for p in product(range(2), repeat=num_procs)] - for loccomb in loccombs: - newvec = pps[0].copy() - newvec.loc[:] = 0 - for index, entry in enumerate(loccomb): - if entry == 0: - newvec = newvec + pps[index] - elif entry == 1: - newvec = newvec + pms[index] - xs.append(newvec) - for loccomb in loccombs: - newvec = pps[0].copy() - newvec.loc[:] = 0 - for index, entry in enumerate(loccomb): - if entry == 0: - newvec = newvec + mps[index] - elif entry == 1: - newvec = newvec + mms[index] - xs.append(newvec) + xs.append(sum(pps)) + xs.append(sum(mps)) + # the 2p vectors with one minus + for procloc, pm in enumerate(pms): + newvec = pms[0].copy() + newvec.loc[:] = 0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + pm + xs.append(newvec) + for procloc, mm in enumerate(mms): + newvec = mms[0].copy() + newvec.loc[:] = 0 + submps = mps.copy() + del submps[procloc] + newvec = newvec + sum(submps) + mm + xs.append(newvec) elif (num_pts == 7) and (seventheories != "original"): pzs = splitdiffs[::(num_pts-1)] mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] @@ -600,55 +558,28 @@ def shuffle_list(l, shift): pps = shuffle_list(splitdiffs,4)[::(num_pts-1)] mms = shuffle_list(splitdiffs,5)[::(num_pts-1)] xs = [] - if use_analytic == True: - # 3pt-like part - xs.append(sum(pps)) - # the p vectors with one minus - for procloc, mm in enumerate(mms): - newvec = pps[0].copy() - newvec.loc[:]=0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + mm - xs.append(newvec) - # 5pt-like part - xs.append(sum(pzs)) - xs.append(sum(mzs)) - xs.append(sum(zps)) - # the p vectors with one minus - for procloc, zm in enumerate(zms): - newvec = zps[0].copy() - newvec.loc[:] = 0 - subzps = zps.copy() - del subzps[procloc] - newvec = newvec + sum(subzps) + zm - xs.append(newvec) - else: - # 3pt-like part - loccombs = [p for p in product(range(2), repeat=num_procs)] - for loccomb in loccombs: - newvec = pzs[0].copy() - newvec.loc[:] = 0 - for index, entry in enumerate(loccomb): - if entry == 0: - newvec = newvec + pps[index] - elif entry == 1: - newvec = newvec + mms[index] - xs.append(newvec) - # 5pt-like part - xs.append(sum(pzs)) - xs.append(sum(mzs)) - # Generating the other 2^p vectors - loccombs = [p for p in product(range(2), repeat=num_procs)] - for loccomb in loccombs: - newvec = pzs[0].copy() - newvec.loc[:] = 0 - for index, entry in enumerate(loccomb): - if entry == 0: - newvec = newvec + zps[index] - elif entry == 1: - newvec = newvec + zms[index] - xs.append(newvec) + # 3pt-like part + xs.append(sum(pps)) + # the p vectors with one minus + for procloc, mm in enumerate(mms): + newvec = pps[0].copy() + newvec.loc[:]=0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + mm + xs.append(newvec) + # 5pt-like part + xs.append(sum(pzs)) + xs.append(sum(mzs)) + xs.append(sum(zps)) + # the p vectors with one minus + for procloc, zm in enumerate(zms): + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) elif (num_pts == 9): pzs = splitdiffs[::(num_pts-1)] mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] @@ -659,80 +590,44 @@ def shuffle_list(l, shift): pms = shuffle_list(splitdiffs,6)[::(num_pts-1)] mps = shuffle_list(splitdiffs,7)[::(num_pts-1)] xs = [] - if use_analytic == True: - xs.append(sum(pps)) - xs.append(sum(mps)) - xs.append(sum(zps)) - for procloc, zm in enumerate(zms): - newvec = zps[0].copy() - newvec.loc[:] = 0 - subzps = zps.copy() - del subzps[procloc] - newvec = newvec + sum(subzps) + zm - xs.append(newvec) - for procloc, pm in enumerate(pms): - newvec = pps[0].copy() - newvec.loc[:] = 0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + pm - xs.append(newvec) - for procloc, mm in enumerate(mms): - newvec = mps[0].copy() - newvec.loc[:] = 0 - submps = mps.copy() - del submps[procloc] - newvec = newvec + sum(submps) + mm - xs.append(newvec) - for procloc, pz in enumerate(pzs): - newvec = pps[0].copy() - newvec.loc[:] = 0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + pz - xs.append(newvec) - for procloc, mz in enumerate(mzs): - newvec = mps[0].copy() - newvec.loc[:] = 0 - submps = mps.copy() - del submps[procloc] - newvec = newvec + sum(submps) + mz - xs.append(newvec) - else: - # Generating first 2^p vectors - loccombs = [p for p in product(range(2), repeat=num_procs)] - for loccomb in loccombs: - newvec = pzs[0].copy() - newvec.loc[:] = 0 - for index, entry in enumerate(loccomb): - if entry == 0: - newvec = newvec + zps[index] - elif entry == 1: - newvec = newvec + zms[index] - xs.append(newvec) - loccombs2 = [p for p in product(range(3), repeat=num_procs)] - for loccomb2 in loccombs2: - newvec = pzs[0].copy() - newvec.loc[:] = 0 - for index, entry in enumerate(loccomb2): - if entry == 0: - newvec = newvec + pzs[index] - elif entry == 1: - newvec = newvec + pps[index] - elif entry == 2: - newvec = newvec + pms[index] - xs.append(newvec) - for loccomb2 in loccombs2: - newvec = pzs[0].copy() - newvec.loc[:] = 0 - for index, entry in enumerate(loccomb2): - if entry == 0: - newvec = newvec + mzs[index] - elif entry == 1: - newvec = newvec + mps[index] - elif entry == 2: - newvec = newvec + mms[index] - xs.append(newvec) + xs.append(sum(pps)) + xs.append(sum(mps)) + xs.append(sum(zps)) + for procloc, zm in enumerate(zms): + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) + for procloc, pm in enumerate(pms): + newvec = pps[0].copy() + newvec.loc[:] = 0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + pm + xs.append(newvec) + for procloc, mm in enumerate(mms): + newvec = mps[0].copy() + newvec.loc[:] = 0 + submps = mps.copy() + del submps[procloc] + newvec = newvec + sum(submps) + mm + xs.append(newvec) + for procloc, pz in enumerate(pzs): + newvec = pps[0].copy() + newvec.loc[:] = 0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + pz + xs.append(newvec) + for procloc, mz in enumerate(mzs): + newvec = mps[0].copy() + newvec.loc[:] = 0 + submps = mps.copy() + del submps[procloc] + newvec = newvec + sum(submps) + mz + xs.append(newvec) # Orthonormalising vectors according to Gram-Schmidt ys = [x/np.linalg.norm(x) for x in xs] for i in range(1, len(xs)): @@ -784,17 +679,6 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, fmiss = f - np.sum(projected_evectors, axis=0) return w_nonzero, v_nonzero, projectors, f, fmiss, w_max, w, all_projectors -def cutoff(theory_shift_test, eigenvalue_cutoff:(bool, type(None)) = None, - use_analytic:(bool, type(None)) = None): - if eigenvalue_cutoff == True: - cutoff = "10 times modulus of largest 'negative' eigenvalue" - else: - cutoff = "Eigenvalues determined by projection onto space of non-zero eigenvalues." - if use_analytic == True: - cutoff = cutoff + "\n Linearly independent vectors determined analytically" - print(f"cutoff = {cutoff}") - return cutoff - @table def theory_covmat_eigenvalues(theory_shift_test): w_nonzero, v_nonzero, projectors = theory_shift_test[:3] @@ -832,8 +716,7 @@ def validation_theory_chi2(theory_shift_test): @figure def projector_eigenvalue_ratio(theory_shift_test, - eigenvalue_cutoff:(bool, type(None)) = None, - use_analytic:(bool, type(None)) = None): + eigenvalue_cutoff:(bool, type(None)) = None): surviving_evals = theory_shift_test[0][::-1] all_projectors = theory_shift_test[7][::-1] all_evals = theory_shift_test[6][::-1] @@ -855,8 +738,6 @@ def projector_eigenvalue_ratio(theory_shift_test, fig, (ax1, ax2) = plt.subplots(2, figsize=(5,5)) ax1.plot(xvals, np.abs(all_projectors), 's', label = r'|$\delta_a$|') ax1.plot(xvals, np.sqrt(np.abs(all_evals)), 'o', label = r'$|s_a|$') - if use_analytic == None: - ax1.plot(xvals, np.sqrt(np.abs(masked_evals)), 'o', label = r'surviving $|s_a|$', color='k') ax1.plot(0, fmiss_mod, '*', label=r'$|\delta_{miss}|$', color='b') ax2.plot(xvals,ratio, 'D', color="red") ax2.plot(0,0, '.', color="w") From d679d5e88c2f9cdebd8b21083663a311c02db7b9 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 8 Mar 2019 15:52:25 +0000 Subject: [PATCH 133/429] clearing up some stylistic problems --- .../validphys/theorycovariance/construction.py | 18 ++++++++++++------ .../src/validphys/theorycovariance/output.py | 5 +++-- .../src/validphys/theorycovariance/tests.py | 14 ++++++-------- 3 files changed, 21 insertions(+), 16 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 41a895a5d9..f8cfd421cd 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -343,13 +343,19 @@ def covs_pt_prescrip(combine_by_type, process_starting_points, theoryids, # Zahari's proposal for the theoretical covariance matrix -------------------- if fivetheories=='linear': if name1 == name2: - s = 0.25*(np.outer(deltas1[0], deltas2[0]) - np.outer(deltas1[0], deltas2[1]) - - np.outer(deltas1[1], deltas2[0]) + np.outer(deltas1[1], deltas2[1]) - + np.outer(deltas1[2], deltas2[2]) - np.outer(deltas1[2], deltas2[3]) - - np.outer(deltas1[3], deltas2[2]) + np.outer(deltas1[3], deltas2[3])) + s = 0.25*(np.outer(deltas1[0], deltas2[0]) + - np.outer(deltas1[0], deltas2[1]) + - np.outer(deltas1[1], deltas2[0]) + + np.outer(deltas1[1], deltas2[1]) + + np.outer(deltas1[2], deltas2[2]) + - np.outer(deltas1[2], deltas2[3]) + - np.outer(deltas1[3], deltas2[2]) + + np.outer(deltas1[3], deltas2[3])) else: - s = 0.25*(np.outer(deltas1[0], deltas2[0]) - np.outer(deltas1[0], deltas2[1]) - - np.outer(deltas1[1], deltas2[0]) + np.outer(deltas1[1], deltas2[1])) + s = 0.25*(np.outer(deltas1[0], deltas2[0]) + - np.outer(deltas1[0], deltas2[1]) + - np.outer(deltas1[1], deltas2[0]) + + np.outer(deltas1[1], deltas2[1])) else: if name1 == name2: s = 0.5*sum(np.outer(d, d) for d in deltas1) diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index 7474980bc0..b360711208 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -30,7 +30,8 @@ from validphys.theorycovariance.construction import experimentsplusblocktheory_normcovmat from validphys.theorycovariance.construction import experimentsplustheory_normcovmat_custom from validphys.theorycovariance.construction import experimentsplusblocktheory_corrmat -from validphys.theorycovariance.construction import experimentsplustheory_corrmat_custom, dataset_index_byprocess +from validphys.theorycovariance.construction import experimentsplustheory_corrmat_custom +from validphys.theorycovariance.construction import dataset_index_byprocess log = logging.getLogger(__name__) @@ -380,4 +381,4 @@ def plot_datasets_chi2_theory(experiments, datalabels=["experiment + theory", "experiment"]) ax.set_title(r"$\chi^2$ distribution for datasets") ax.legend(fontsize=14) - return fig \ No newline at end of file + return fig diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 31d3c65adc..59a1d1a972 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -8,7 +8,6 @@ import logging from collections import namedtuple -from itertools import product import numpy as np import scipy.linalg as la import matplotlib.pyplot as plt @@ -49,7 +48,7 @@ def _check_valid_shift_matrix_threshold_method(shift_threshold:(int, float, None """Checks that a valid method 1 or 2 is chosen where a threshold for removing elements of the shift correlation matrix has been specified""" opts = {1,2} - if shift_threshold != None: + if shift_threshold is not None: check(method is not None, "A threshold for removing elements of the " "shift correlation matrix has been specified but no choice of " "method (1 or 2) was provided") @@ -363,7 +362,7 @@ def shift_to_theory_ratio_plot(shift_to_theory_ratio): matrixplot = ax.matshow(matrix, cmap=cm.Spectral_r) fig.colorbar(matrixplot) ax.set_title("Ratio of theory to shift correlation matrices") - ticklocs, ticklabels = matrix_plot_labels(matrix) + ticklocs, ticklabels, startlocs = matrix_plot_labels(matrix) plt.xticks(ticklocs, ticklabels, rotation=30, ha="right") plt.gca().xaxis.tick_bottom() plt.yticks(ticklocs, ticklabels) @@ -494,9 +493,8 @@ def shuffle_list(l, shift): for ds in otherdatasets: splitdiff.loc[ds] = 0 splitdiffs.append(splitdiff) - num_procs = len(procdict) # treating each prescription on a case-by-case basis - if (num_pts == 3): + if num_pts == 3: xs = [] pps = splitdiffs[::(num_pts-1)] mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] @@ -580,7 +578,7 @@ def shuffle_list(l, shift): del subzps[procloc] newvec = newvec + sum(subzps) + zm xs.append(newvec) - elif (num_pts == 9): + elif num_pts == 9: pzs = splitdiffs[::(num_pts-1)] mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] @@ -674,8 +672,8 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, projectors = np.sum(f*v_nonzero, axis=1) # Initialise array of zeros and set precision to same as FK tables projected_evectors = np.zeros((len(projectors), (len(f))), dtype=np.float32) - for i in range(len(projectors)): - projected_evectors[i] = projectors[i]*v_nonzero[i] + for i, projector in projectors: + projected_evectors[i] = projector*v_nonzero[i] fmiss = f - np.sum(projected_evectors, axis=0) return w_nonzero, v_nonzero, projectors, f, fmiss, w_max, w, all_projectors From 5afb4874a8e528068c55a8726724da4ea0162894 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 8 Mar 2019 16:01:43 +0000 Subject: [PATCH 134/429] fixing bug in loop --- validphys2/src/validphys/theorycovariance/tests.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 59a1d1a972..4473b6359d 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -672,7 +672,7 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, projectors = np.sum(f*v_nonzero, axis=1) # Initialise array of zeros and set precision to same as FK tables projected_evectors = np.zeros((len(projectors), (len(f))), dtype=np.float32) - for i, projector in projectors: + for i, projector in enumerate(projectors): projected_evectors[i] = projector*v_nonzero[i] fmiss = f - np.sum(projected_evectors, axis=0) return w_nonzero, v_nonzero, projectors, f, fmiss, w_max, w, all_projectors From fab63e8b17dfde418910f45fb6f9e56e0e071e6f Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Tue, 12 Mar 2019 16:49:37 -0400 Subject: [PATCH 135/429] Added DATA ans SYSTYPE files for data sets affected by the symmetrising fix --- .../data/commondata/DATA_ATLAS1JET11_SF.dat | 141 ++++++ .../data/commondata/DATA_ATLASPHT12_SF.dat | 50 +++ .../data/commondata/DATA_ATLASPHT15_SF.dat | 54 +++ .../DATA_ATLASR04JETS2P76TEV_SF.dat | 60 +++ .../commondata/DATA_ATLASR04JETS36PB_SF.dat | 91 ++++ .../commondata/DATA_ATLASR06JETS36PB_SF.dat | 91 ++++ .../DATA_ATLASTOPDIFF8TEVTPTNORM_SF.dat | 9 + .../DATA_ATLASTOPDIFF8TEVTPT_SF.dat | 9 + .../DATA_ATLASTOPDIFF8TEVTRAPNORM_SF.dat | 11 + .../DATA_ATLASTOPDIFF8TEVTRAP_SF.dat | 11 + .../DATA_ATLASTOPDIFF8TEVTTMNORM_SF.dat | 8 + .../DATA_ATLASTOPDIFF8TEVTTM_SF.dat | 8 + .../DATA_ATLASTOPDIFF8TEVTTPTNORM_SF.dat | 7 + .../DATA_ATLASTOPDIFF8TEVTTPT_SF.dat | 7 + .../DATA_ATLASTOPDIFF8TEVTTRAPNORM_SF.dat | 11 + .../DATA_ATLASTOPDIFF8TEVTTRAP_SF.dat | 11 + nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat | 77 ++++ .../data/commondata/DATA_CMS1JET276TEV_SF.dat | 82 ++++ .../data/commondata/DATA_CMSJETS11_SF.dat | 134 ++++++ .../commondata/DATA_CMSTOPDIFF8TEVTPT_SF.dat | 9 + .../commondata/DATA_CMSTOPDIFF8TEVTRAP_SF.dat | 11 + .../commondata/DATA_CMSTOPDIFF8TEVTTM_SF.dat | 8 + .../commondata/DATA_CMSTOPDIFF8TEVTTPT_SF.dat | 7 + .../DATA_CMSTOPDIFF8TEVTTRAP_SF.dat | 11 + .../data/commondata/DATA_CMSTTBARTOT_SF.dat | 5 + nnpdfcpp/data/commondata/DATA_D0ZRAP_SF.dat | 29 ++ .../data/commondata/DATA_ZEUSHERAF2B_SF.dat | 18 + .../SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat | 405 ++++++++++++++++++ .../SYSTYPE_ATLASPHT12_SF_DEFAULT.dat | 31 ++ .../SYSTYPE_ATLASPHT15_SF_DEFAULT.dat | 3 + ...SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat | 91 ++++ .../SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat | 92 ++++ .../SYSTYPE_ATLASR06JETS36PB_SF_DEFAULT.dat | 92 ++++ ...YPE_ATLASTOPDIFF8TEVTPTNORM_SF_DEFAULT.dat | 65 +++ ...SYSTYPE_ATLASTOPDIFF8TEVTPT_SF_DEFAULT.dat | 66 +++ ...PE_ATLASTOPDIFF8TEVTRAPNORM_SF_DEFAULT.dat | 57 +++ ...YSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat | 58 +++ ...YPE_ATLASTOPDIFF8TEVTTMNORM_SF_DEFAULT.dat | 64 +++ ...SYSTYPE_ATLASTOPDIFF8TEVTTM_SF_DEFAULT.dat | 65 +++ ...PE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat | 57 +++ ...YSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat | 58 +++ ...E_ATLASTOPDIFF8TEVTTRAPNORM_SF_DEFAULT.dat | 57 +++ ...STYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat | 58 +++ .../systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat | 26 ++ .../SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat | 107 +++++ .../systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat | 25 ++ .../SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat | 22 + .../SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat | 24 ++ .../SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat | 21 + .../SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat | 20 + ...SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat | 24 ++ .../SYSTYPE_CMSTTBARTOT_SF_DEFAULT.dat | 3 + .../systypes/SYSTYPE_D0ZRAP_SF_DEFAULT.dat | 2 + .../SYSTYPE_ZEUSHERAF2B_SF_DEFAULT.dat | 3 + 54 files changed, 2566 insertions(+) create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASPHT12_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASPHT15_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASR04JETS2P76TEV_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASR06JETS36PB_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTPTNORM_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTPT_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTRAPNORM_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTRAP_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTMNORM_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTM_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAPNORM_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAP_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_CMS1JET276TEV_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_CMSJETS11_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPT_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTRAP_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTM_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTPT_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTRAP_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_CMSTTBARTOT_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_D0ZRAP_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ZEUSHERAF2B_SF.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASPHT12_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASPHT15_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR06JETS36PB_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPTNORM_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPT_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAPNORM_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTMNORM_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTM_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAPNORM_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_D0ZRAP_SF_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERAF2B_SF_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat new file mode 100644 index 0000000000..23c65bc55b --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat @@ -0,0 +1,141 @@ +ATLAS1JET11 404 140 + 1 JET 2.500000000000e-01 1.166400000000e+04 7.000000000000e+03 5.344908800000e+03 4.855532411012e+01 6.992744183040e+01 1.308300000000e+00 0.000000000000e+00 0.000000000000e+00 2.242189241600e+01 4.195000000000e-01 2.773473176320e+01 5.189000000000e-01 3.138637345536e+02 5.872200000000e+00 1.615177990272e+02 3.021900000000e+00 2.447968230400e+00 4.580000000000e-02 2.357104780800e+00 4.410000000000e-02 4.382825216000e+00 8.200000000000e-02 4.185063590400e+00 7.830000000000e-02 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5.624000000000e-07 1.900000000000e+00 + 35 PHT 3.850000000000e-01 1.000000000000e+06 8.000000000000e+03 7.223493000000e-06 1.780000000000e-06 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.532760000000e-07 2.120000000000e+00 7.230000000000e-09 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.944659111698e-08 5.455960043842e-01 4.215778219973e-09 5.830951894845e-02 2.533596676663e-08 3.504283093587e-01 1.400769352561e-07 1.937440321662e+00 1.988907164123e-08 2.750908940696e-01 1.213972763162e-07 1.679077127472e+00 0.000000000000e+00 0.000000000000e+00 7.111542079606e-09 9.836157786453e-02 1.288807072606e-07 1.782582396413e+00 6.430535309560e-08 8.894239708935e-01 8.163179093956e-08 1.129070414102e+00 3.327960439594e-08 4.602988159880e-01 2.252641064950e-08 3.115686120263e-01 0.000000000000e+00 0.000000000000e+00 2.346586135362e-07 3.245623976988e+00 6.929871083216e-08 9.584883932526e-01 3.002626921131e-08 4.153010955921e-01 8.736042238909e-09 1.208304597359e-01 1.535417790049e-08 2.123676058160e-01 2.494873858034e-08 3.450724561596e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.373700000000e-07 1.900000000000e+00 + 36 PHT 1.250000000000e-01 4.900000000000e+03 8.000000000000e+03 1.071016500000e+01 7.950000000000e-02 3.531000000000e-02 3.300000000000e-01 2.118654039715e-01 1.980050504406e+00 6.045973432790e-02 5.650442460551e-01 1.712000000000e-02 1.600000000000e-01 1.749597241510e-01 1.635137608888e+00 2.904808599547e-02 2.714774392100e-01 3.261306639983e-02 3.047950130826e-01 8.060587757726e-03 7.533259586660e-02 5.346521369077e-02 4.996748943063e-01 2.572454469957e-02 2.404163056034e-01 1.853294364099e-03 1.732050807569e-02 2.081493801936e-01 1.945321310221e+00 0.000000000000e+00 0.000000000000e+00 3.706588728197e-03 3.464101615138e-02 6.436029987500e-02 6.014981296729e-01 5.559883092296e-03 5.196152422707e-02 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5.111000000000e-02 1.900000000000e+00 + 39 PHT 1.250000000000e-01 1.322500000000e+04 8.000000000000e+03 1.015716000000e+00 9.200000000000e-03 2.040000000000e-04 2.000000000000e-02 8.415309085233e-03 8.250303024738e-01 3.672000000000e-03 3.600000000000e-01 2.040000000000e-03 2.000000000000e-01 7.196604199204e-03 7.055494312945e-01 1.277038370606e-03 1.251998402555e-01 2.669108278058e-03 2.616772821626e-01 3.088343730869e-03 3.027787971441e-01 5.959803352461e-03 5.842944463197e-01 3.324010830307e-03 3.258834147360e-01 4.205567738130e-04 4.123105625618e-02 2.309185161480e-02 2.263907021059e+00 0.000000000000e+00 0.000000000000e+00 8.833459118601e-05 8.660254037844e-03 1.040837408052e-02 1.020428831423e+00 1.696852085481e-03 1.663580475961e-01 3.776411391785e-03 3.702364109593e-01 1.976248354838e-02 1.937498387096e+00 1.691478643081e-04 1.658312395178e-02 0.000000000000e+00 0.000000000000e+00 4.193093335474e-02 4.110875819093e+00 3.003376100324e-03 2.944486372867e-01 1.192789587480e-03 1.169401556353e-01 2.141392771072e-03 2.099404677522e-01 1.423439145169e-03 1.395528573695e-01 2.189438969234e-03 2.146508793367e-01 2.218353443435e-03 2.174856317093e-01 1.020000000000e-04 1.000000000000e-02 1.530000000000e-03 1.500000000000e-01 1.938000000000e-02 1.900000000000e+00 + 40 PHT 1.250000000000e-01 1.890625000000e+04 8.000000000000e+03 4.385913000000e-01 2.150000000000e-03 0.000000000000e+00 0.000000000000e+00 2.759400000000e-03 6.300000000000e-01 1.467626829272e-03 3.350746185553e-01 1.138800000000e-03 2.600000000000e-01 2.657310299909e-03 6.066918492942e-01 3.127945651702e-04 7.141428428543e-02 7.035321741044e-04 1.606237840421e-01 5.553280381900e-04 1.267872233311e-01 3.585920204076e-03 8.187032429397e-01 1.686584391603e-03 3.850649295898e-01 2.700013333300e-04 6.164414002969e-02 1.061425020621e-02 2.423344795938e+00 0.000000000000e+00 0.000000000000e+00 8.760000000000e-05 2.000000000000e-02 4.935377702871e-03 1.126798562299e+00 5.046512756350e-04 1.152171862180e-01 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 7.700000000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 JET 1.500000000000e-01 9.025000000000e+03 2.760000000000e+03 1.420618556701e+00 2.415051546392e-02 3.835670103093e-02 2.700000000000e+00 7.322776065469e-02 5.154639175258e+00 1.420618556701e-02 1.000000000000e+00 7.103092783505e-03 5.000000000000e-01 6.471225501062e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.117400256722e-01 7.865589615534e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.187034385229e-02 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.477677467784e-02 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.197969828088e-02 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.976222203269e-02 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.222484974576e-02 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.398136259113e-02 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.575542196478e-02 1.109053650641e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551546391753e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841237113402e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.846804123711e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 1.420618556701e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 JET 1.500000000000e-01 1.822500000000e+04 2.760000000000e+03 2.027551020408e-01 6.488163265306e-03 5.474387755102e-03 2.700000000000e+00 8.275718450646e-03 4.081632653061e+00 2.027551020408e-03 1.000000000000e+00 1.013775510204e-03 5.000000000000e-01 1.755910691143e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.145656037665e-02 5.650442460551e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.912646120462e-03 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.507416643181e-03 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.419285714286e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.494496271465e-03 3.203123475609e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.027551020408e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.176329117656e-02 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660838679533e-03 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.362312988998e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.362312988998e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.054813632386e-03 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.082653061224e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.635816326531e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.027551020408e-04 1.000000000000e-01 2.027551020408e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 JET 1.500000000000e-01 3.422500000000e+04 2.760000000000e+03 2.577777777778e-02 2.216888888889e-03 6.960000000000e-04 2.700000000000e+00 7.811447811448e-04 3.030303030303e+00 2.577777777778e-04 1.000000000000e+00 1.288888888889e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.148413742280e-03 4.455053310568e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.227831572477e-03 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.991111111111e-04 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.970043022509e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.741921157560e-04 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.941906915672e-04 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830585253511e-03 7.101408311032e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.348927527365e-04 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.733333333333e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.733333333333e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.469785505473e-03 5.701754116059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.546666666667e-04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.866666666667e-04 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.155555555556e-05 2.000000000000e-01 2.577777777778e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 JET 1.500000000000e-01 5.522500000000e+04 2.760000000000e+03 4.273737373737e-03 8.120101010101e-04 1.153909090909e-04 2.700000000000e+00 1.295071931436e-04 3.030303030303e+00 4.273737373737e-05 1.000000000000e+00 2.136868686869e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.500318995315e-04 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587200029359e-04 6.053717865907e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.004782832878e-04 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.485143253203e-05 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.261114654378e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.794318398503e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.931406902912e-04 6.859118019104e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.647884634825e-04 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.526029478847e-05 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.014348498633e-04 7.053190767305e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.564242424242e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 4.273737373737e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 JET 1.500000000000e-01 8.122500000000e+04 2.760000000000e+03 1.208080808081e-03 4.711515151515e-04 3.261818181818e-05 2.700000000000e+00 3.660850933578e-05 3.030303030303e+00 1.208080808081e-05 1.000000000000e+00 6.040404040404e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.951190311762e-05 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.835342491120e-05 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.301703073169e-05 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.295353535354e-05 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.332091859414e-05 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.248484848485e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.699859546391e-05 7.201388754956e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.677979797980e-05 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.125452789692e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.604622316354e-05 7.950314459190e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.248484848485e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.208080808081e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.208080808081e-06 1.000000000000e-01 1.208080808081e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 JET 1.500000000000e-01 1.260250000000e+05 2.760000000000e+03 4.315151515152e-04 1.984969696970e-04 1.165090909091e-05 2.700000000000e+00 1.307621671258e-05 3.030303030303e+00 4.315151515152e-06 1.000000000000e+00 2.157575757576e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.620768841126e-05 3.755995207665e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.035636363636e-05 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.541171638804e-06 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.037432785392e-05 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.493333333333e-06 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551555825602e-05 8.230431337421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.376469553180e-05 5.507267925206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.067702701430e-05 9.426558226628e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.589090909091e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.315151515152e-07 1.000000000000e-01 4.315151515152e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 JET 1.500000000000e-01 2.025000000000e+05 2.760000000000e+03 7.110101010101e-05 8.176616161616e-05 1.919727272727e-06 2.700000000000e+00 2.154576063667e-06 3.030303030303e+00 7.110101010101e-07 1.000000000000e+00 3.555050505051e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.821111111111e-07 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.977070707071e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.354935867537e-06 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.496647959744e-06 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635323232323e-06 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.977070707071e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.805206156588e-06 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.302986747707e-06 7.458384543586e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.064461864994e-07 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.192058321098e-06 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.555050505051e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.110101010101e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.133030303030e-07 3.000000000000e-01 7.110101010101e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 JET 5.500000000000e-01 6.250000000000e+02 2.760000000000e+03 1.481818181818e+03 2.074545454545e+01 4.000909090909e+01 2.700000000000e+00 1.706880678736e+02 1.151882666631e+01 1.481818181818e+01 1.000000000000e+00 7.409090909091e+00 5.000000000000e-01 1.687630880752e+02 1.138892005416e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.127253676525e+02 7.607233399864e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.603293719192e+02 1.081977356510e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024144354616e+02 6.911403620105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.157574167487e+01 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960261198652e+00 1.322875655532e-01 3.201378931978e+01 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.523366899269e+01 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.891251175846e+01 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.234864224506e+01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481818181818e+00 1.000000000000e-01 2.963636363636e+00 2.000000000000e-01 8.446363636364e+01 5.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.963636363636e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 JET 5.500000000000e-01 1.406250000000e+03 2.760000000000e+03 2.073626373626e+02 4.769340659341e+00 5.598791208791e+00 2.700000000000e+00 1.776078907435e+01 8.565086411055e+00 2.073626373626e+00 1.000000000000e+00 1.036813186813e+00 5.000000000000e-01 7.966612375408e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299762899736e+01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.306014272467e+01 6.298214032565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.831465270663e+01 8.832185460009e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.479944885800e+00 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.932550540877e-01 1.414213562373e-01 5.704357330871e+00 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.661474296427e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.876972146348e+00 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.795813117518e-01 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.167521881102e+00 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.147252747253e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.073626373626e-01 1.000000000000e-01 5.391428571429e+00 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.073626373626e-01 1.000000000000e-01 2.073626373626e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 JET 5.500000000000e-01 2.756250000000e+03 2.760000000000e+03 3.298924731183e+01 6.927741935484e-01 8.907096774194e-01 2.700000000000e+00 2.319303149286e+00 7.030482167001e+00 3.298924731183e-01 1.000000000000e+00 1.649462365591e-01 5.000000000000e-01 4.789125283920e-01 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.532394811183e+00 7.676424949154e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913945039698e+00 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.622521053795e+00 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608172043011e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364067216315e-02 1.322875655532e-01 9.896774193548e-01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.285295769230e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.502641203567e+00 4.554942370656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.298924731183e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.589883102233e-01 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.570857867131e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.597849462366e-02 2.000000000000e-01 3.298924731183e-02 1.000000000000e-01 1.979354838710e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.597849462366e-02 2.000000000000e-01 3.298924731183e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 JET 5.500000000000e-01 4.900000000000e+03 2.760000000000e+03 7.358947368421e+00 6.623052631579e-02 1.986915789474e-01 2.700000000000e+00 4.295509180959e-01 5.837124477058e+00 7.358947368421e-02 1.000000000000e+00 3.679473684211e-02 5.000000000000e-01 5.543686081088e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.562547368421e-01 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.569468780713e-01 4.850515436528e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.871875763387e-01 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839736842105e-01 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207684210526e-01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.478772093160e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.313161233843e-01 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943578947368e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.811536186467e-02 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.402067780556e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.471789473684e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.094842105263e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943578947368e-02 4.000000000000e-01 7.358947368421e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 JET 5.500000000000e-01 9.025000000000e+03 2.760000000000e+03 1.398969072165e+00 1.818659793814e-02 3.777216494845e-02 2.700000000000e+00 7.211180784355e-02 5.154639175258e+00 1.398969072165e-02 1.000000000000e+00 6.994845360825e-03 5.000000000000e-01 6.372607405618e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.822383026600e-02 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.018819547454e-02 4.302324952860e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.827456938232e-02 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.259072164948e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.196907216495e-02 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.611852801009e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.210800132131e-02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.611852801009e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.196907216495e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.946441422743e-02 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.797938144330e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.538865979381e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.398969072165e-03 1.000000000000e-01 1.398969072165e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 JET 5.500000000000e-01 1.822500000000e+04 2.760000000000e+03 1.897959183673e-01 4.934693877551e-03 5.124489795918e-03 2.700000000000e+00 7.746772178259e-03 4.081632653061e+00 1.897959183673e-03 1.000000000000e+00 9.489795918367e-04 5.000000000000e-01 1.643680868407e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.186907558435e-02 6.253598963797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.697271689494e-03 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.648277671823e-03 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.808048955248e-03 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.124489795918e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.518367346939e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.110387228853e-02 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.606122448980e-03 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.897959183673e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.897959183673e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129365457654e-02 5.950420153233e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.138775510204e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.518367346939e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.693877551020e-04 3.000000000000e-01 1.897959183673e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 JET 5.500000000000e-01 3.422500000000e+04 2.760000000000e+03 2.149494949495e-02 1.590626262626e-03 5.803636363636e-04 2.700000000000e+00 6.513621059076e-04 3.030303030303e+00 2.149494949495e-04 1.000000000000e+00 1.074747474747e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086452223165e-03 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.952717426083e-04 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.547758003034e-04 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.095337909452e-04 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.500145552795e-04 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.535046433933e-04 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.387173863589e-03 6.453487429290e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.357383415000e-04 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.149494949495e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.590916708399e-03 7.401351227985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.448484848485e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.448484848485e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.149494949495e-05 1.000000000000e-01 2.149494949495e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 JET 5.500000000000e-01 5.522500000000e+04 2.760000000000e+03 3.376767676768e-03 6.078181818182e-04 9.117272727273e-05 2.700000000000e+00 1.023262932354e-04 3.030303030303e+00 3.376767676768e-05 1.000000000000e+00 1.688383838384e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.743128555435e-04 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.354079627944e-04 4.009987531153e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.792573935578e-05 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.129770708092e-05 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.304034035002e-05 2.459166525472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207848358827e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.548732704590e-04 7.547847375245e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.335745322679e-04 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.599735694019e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.105295457711e-04 9.196058938480e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.376767676768e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.363737373737e-05 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.753535353535e-06 2.000000000000e-01 3.376767676768e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 JET 5.500000000000e-01 8.122500000000e+04 2.760000000000e+03 9.828282828283e-04 3.145050505051e-04 2.653636363636e-05 2.700000000000e+00 2.579255334809e-05 2.624319405407e+00 9.828282828283e-06 1.000000000000e+00 4.914141414141e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.246682618698e-05 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900176220066e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.676579455786e-05 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900176220066e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.511542604871e-07 8.660254037844e-02 1.732539777230e-05 1.762810256380e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.914141414141e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.893279892573e-05 8.031189202105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.280383606107e-05 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.965656565657e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016977974136e-04 1.034746345729e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.965656565657e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.081111111111e-05 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.828282828283e-07 1.000000000000e-01 9.828282828283e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 21 JET 5.500000000000e-01 1.260250000000e+05 2.760000000000e+03 3.630303030303e-04 1.597333333333e-04 9.801818181818e-06 2.700000000000e+00 9.527074689933e-06 2.624319405407e+00 3.630303030303e-06 1.000000000000e+00 1.815151515152e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.625447658619e-05 4.477443466980e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.215474031106e-05 3.348133808557e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.777664779449e-06 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.409170290042e-05 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.194505932352e-06 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.237869083502e-06 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.354054239034e-05 9.239047569961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.178408700305e-05 6.000624967451e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.431803943034e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.545133594730e-05 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.260606060606e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.541212121212e-06 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.630303030303e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 22 JET 5.500000000000e-01 2.025000000000e+05 2.760000000000e+03 8.889898989899e-05 6.934121212121e-05 2.400272727273e-06 2.700000000000e+00 2.332993443130e-06 2.624319405407e+00 8.889898989899e-07 1.000000000000e+00 4.444949494949e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.003678679055e-06 5.628498911788e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.103581610689e-06 4.616004766029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.936998627982e-06 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.732434439682e-06 4.198511641046e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.904597321200e-06 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.240518166898e-07 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.778888888889e-06 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.647094646317e-06 7.477131803038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.948445937365e-07 3.316624790355e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.379367452863e-05 1.551612064918e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.444949494949e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.333939393939e-07 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.889898989899e-08 1.000000000000e-01 8.889898989899e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 23 JET 1.000000000000e+00 6.250000000000e+02 2.760000000000e+03 1.285393258427e+03 2.056629213483e+01 3.470561797753e+01 2.700000000000e+00 1.362514128907e+02 1.059997880006e+01 1.285393258427e+01 1.000000000000e+00 6.426966292135e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.283254512822e+02 9.983361157446e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.133530916168e+01 7.105631569396e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.204623352981e+02 9.371632728612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.680869794857e+02 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.887875825406e+01 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.631018608089e+01 7.492663077972e+00 0.000000000000e+00 0.000000000000e+00 2.508164252634e+01 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.206636088800e+01 4.050617236916e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.463677409677e+01 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.279012756300e+01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.856179775281e+00 3.000000000000e-01 1.285393258427e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.221123595506e+02 9.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542471910112e+01 1.200000000000e+00 2.570786516854e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 24 JET 1.000000000000e+00 1.406250000000e+03 2.760000000000e+03 1.738043478261e+02 4.692717391304e+00 4.692717391304e+00 2.700000000000e+00 1.472468287555e+01 8.471987645717e+00 1.738043478261e+00 1.000000000000e+00 8.690217391304e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.256956521739e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.927583464538e+01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086346693428e+01 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.914457509554e+00 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.391412311461e+00 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.448088554261e+01 8.331716509820e+00 0.000000000000e+00 0.000000000000e+00 4.620548625186e+00 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.393538460444e+00 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.998777463003e+00 4.602173399602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.740807860717e+00 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.476086956522e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.216630434783e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.211630434783e+00 5.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.738043478261e-01 1.000000000000e-01 1.738043478261e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 25 JET 1.000000000000e+00 2.756250000000e+03 2.760000000000e+03 2.861702127660e+01 6.868085106383e-01 7.726595744681e-01 2.700000000000e+00 1.876671985965e+00 6.557887237201e+00 2.861702127660e-01 1.000000000000e+00 1.430851063830e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.087328185698e-01 1.428285685709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.283810423844e+00 7.980601481092e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737114478922e+00 6.070214164261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.628272667665e-01 1.267872233311e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.311588997471e-01 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.043012821595e+00 7.139152610780e+00 0.000000000000e+00 0.000000000000e+00 8.053543655697e-01 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.760671787592e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.293476699241e+00 4.519955751996e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478306740617e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.083796661100e-01 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478306740617e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430851063830e-01 5.000000000000e-01 2.861702127660e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.116063829787e+00 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430851063830e-01 5.000000000000e-01 2.861702127660e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 26 JET 1.000000000000e+00 4.900000000000e+03 2.760000000000e+03 6.184375000000e+00 6.802812500000e-02 1.669781250000e-01 2.700000000000e+00 3.572293578481e-01 5.776321097088e+00 6.184375000000e-02 1.000000000000e+00 3.092187500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.329062500000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.069840346986e-01 6.580843410992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.331966549452e-01 5.387717513010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960310306757e-01 3.169779172119e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.653380829906e-01 2.673480877059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.885835288161e-01 6.283311228962e+00 0.000000000000e+00 0.000000000000e+00 2.155456535338e-01 3.485326383569e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.831989317551e-02 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.138075218802e-01 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.817116883301e-02 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.355825856529e-03 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.024210000867e-02 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.363370681522e-01 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.092187500000e-02 5.000000000000e-01 6.184375000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.421250000000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.184375000000e-03 1.000000000000e-01 6.184375000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 27 JET 1.000000000000e+00 9.025000000000e+03 2.760000000000e+03 1.182653061224e+00 1.892244897959e-02 3.193163265306e-02 2.700000000000e+00 5.497184776254e-02 4.648180397523e+00 1.182653061224e-02 1.000000000000e+00 5.913265306122e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.387241080729e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.331256692070e-02 6.198991853519e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.757147517048e-02 4.022437072224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.261957818929e-02 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.064387755102e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.842744067531e-02 4.094813793080e+00 0.000000000000e+00 0.000000000000e+00 3.261957818929e-02 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362619579864e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.883327531604e-02 4.974685919734e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362619579864e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024207594884e-03 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.222916096266e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.807961077258e-02 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.913265306122e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.311428571429e-02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.547959183673e-03 3.000000000000e-01 1.182653061224e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 28 JET 1.000000000000e+00 1.822500000000e+04 2.760000000000e+03 1.523232323232e-01 4.722020202020e-03 4.112727272727e-03 2.700000000000e+00 6.154474033262e-03 4.040404040404e+00 1.523232323232e-03 1.000000000000e+00 7.616161616162e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.319157887785e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.656620184961e-03 6.339558344238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.637868267234e-03 4.357751713900e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.921398831935e-03 2.574393132371e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.603016580364e-03 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.651889853169e-03 3.710458192730e+00 0.000000000000e+00 0.000000000000e+00 4.313733698147e-03 2.831960451701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.451073676563e-03 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.179923601360e-03 6.026607669328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.139300149399e-03 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523232323232e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.525995042351e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.398170618715e-03 6.169886546769e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.132525252525e-03 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.569696969697e-03 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523232323232e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 29 JET 1.000000000000e+00 3.422500000000e+04 2.760000000000e+03 1.731313131313e-02 1.575494949495e-03 4.674545454545e-04 2.700000000000e+00 5.246403428222e-04 3.030303030303e+00 1.731313131313e-04 1.000000000000e+00 8.656565656566e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.801052174235e-04 5.661051139144e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.825458746385e-04 4.519955751996e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.178768247092e-04 2.991237202229e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.378279509097e-04 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.565957237353e-04 4.370068649346e+00 0.000000000000e+00 0.000000000000e+00 4.945619525868e-04 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.211919191919e-04 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.246785891515e-03 7.201388754956e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.760357446056e-04 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731313131313e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.419676767677e-03 8.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.462626262626e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.328282828283e-04 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731313131313e-05 1.000000000000e-01 1.731313131313e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 30 JET 1.000000000000e+00 5.522500000000e+04 2.760000000000e+03 2.305050505051e-03 5.071111111111e-04 6.223636363636e-05 2.700000000000e+00 6.985001530456e-05 3.030303030303e+00 2.305050505051e-05 1.000000000000e+00 1.152525252525e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129945068023e-04 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.013307507982e-05 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.570406244797e-05 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.771839100263e-05 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.047911046887e-04 4.546152219185e+00 0.000000000000e+00 0.000000000000e+00 5.081577811847e-05 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278212338769e-05 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.776085914072e-04 7.705193054038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.013307507982e-05 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.822493824036e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.201383573132e-04 9.550261776517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.220202020202e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.915151515152e-06 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.305050505051e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 31 JET 1.000000000000e+00 8.122500000000e+04 2.760000000000e+03 6.577777777778e-04 2.762666666667e-04 1.776000000000e-05 2.700000000000e+00 1.993265993266e-05 3.030303030303e+00 6.577777777778e-06 1.000000000000e+00 3.288888888889e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.329908640722e-05 5.062361109206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.142326783986e-05 3.256915718897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.551111111111e-06 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.273619141369e-05 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.478767711435e-05 5.288667128871e+00 0.000000000000e+00 0.000000000000e+00 1.283509694472e-05 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.877542813639e-06 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.185909532214e-05 9.404254356407e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.521876379796e-05 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.315555555556e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.893333333333e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.946666666667e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.907555555556e-05 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.577777777778e-07 1.000000000000e-01 6.577777777778e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 32 JET 1.000000000000e+00 1.260250000000e+05 2.760000000000e+03 5.297979797980e-05 6.569494949495e-05 1.430454545455e-06 2.700000000000e+00 1.390359119329e-06 2.624319405407e+00 5.297979797980e-07 1.000000000000e+00 2.648989898990e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.413344652657e-07 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.940617425934e-06 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.148623124317e-06 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.454918381901e-07 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.519048723356e-06 4.754734482597e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.597460924943e-06 6.790250363573e+00 0.000000000000e+00 0.000000000000e+00 1.298545548155e-06 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622439205405e-07 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.827777777778e-06 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.979837346303e-06 7.511990415329e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.059595959596e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.297979797980e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.982211420612e-06 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112575757576e-06 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112575757576e-06 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.059595959596e-07 2.000000000000e-01 5.297979797980e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 33 JET 1.650000000000e+00 6.250000000000e+02 2.760000000000e+03 1.063146067416e+03 1.275775280899e+01 2.870494382022e+01 2.700000000000e+00 1.162766576970e+02 1.093703501906e+01 1.063146067416e+01 1.000000000000e+00 5.315730337079e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210808556769e+02 1.138892005416e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.982804120740e+01 7.508661665037e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.150299971606e+02 1.081977356510e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.191897698130e+02 1.121104366239e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.428038468507e+01 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635932744258e+02 1.538765739156e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286999927189e+01 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.581407146444e+01 4.309292285283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.784157303371e+01 4.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.932337251704e+01 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.063146067416e+00 1.000000000000e-01 6.378876404494e+00 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.275775280899e+02 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.378876404494e+00 6.000000000000e-01 2.126292134831e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 34 JET 1.650000000000e+00 1.406250000000e+03 2.760000000000e+03 1.380434782609e+02 2.898913043478e+00 3.727173913043e+00 2.700000000000e+00 1.071551760899e+01 7.762422204938e+00 1.380434782609e+00 1.000000000000e+00 6.902173913043e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.612023442956e+00 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.667985694181e+01 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.330707831487e+00 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.171337754922e+00 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.982346204304e+00 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.305852989122e+01 1.670381692907e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.935449851845e+00 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.625486582231e+00 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.904934230656e+00 5.001999600160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.969565217391e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.289192110734e-01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.380434782609e-01 1.000000000000e-01 1.380434782609e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.592391304348e+00 5.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.521739130435e-01 4.000000000000e-01 1.380434782609e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 35 JET 1.650000000000e+00 2.756250000000e+03 2.760000000000e+03 2.135106382979e+01 4.056702127660e-01 5.764787234043e-01 2.700000000000e+00 1.259546557739e+00 5.899221545962e+00 2.135106382979e-01 1.000000000000e+00 1.067553191489e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.469137250661e-01 1.624807680927e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.712449825614e+00 8.020442631177e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308003183776e+00 6.126173356999e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.623854710684e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.890348977307e-01 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.395985141956e+00 1.122185367932e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.892128695719e-01 3.228002478314e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.365235312620e-01 2.044504830026e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.895475261318e-01 4.634652090503e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540673379917e-02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.755884082422e-01 2.695830113342e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.547169102326e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.270212765957e-02 2.000000000000e-01 2.135106382979e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.629680851064e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.135106382979e-02 1.000000000000e-01 2.135106382979e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 36 JET 1.650000000000e+00 4.900000000000e+03 2.760000000000e+03 4.359375000000e+00 3.923437500000e-02 1.177031250000e-01 2.700000000000e+00 2.068531061671e-01 4.745017489138e+00 4.359375000000e-02 1.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.284030351059e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.855557008511e-01 6.550381668269e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.068491616587e-01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.229175950507e-01 7.407428703673e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286385010510e-01 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.667187500000e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.049833566748e-01 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.051562500000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.305724888170e-02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.307812500000e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.667187500000e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.359375000000e-03 1.000000000000e-01 4.359375000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 37 JET 1.650000000000e+00 9.025000000000e+03 2.760000000000e+03 7.395876288660e-01 9.614639175258e-03 1.996886597938e-02 2.700000000000e+00 3.049845892231e-02 4.123711340206e+00 7.395876288660e-03 1.000000000000e+00 3.697938144330e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.368981984370e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.146780691123e-02 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.439480079000e-02 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.875051546392e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.395876288660e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.719907790898e-02 6.381810088055e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.516772255834e-02 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.998119676020e-03 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.220836382203e-02 5.707013229352e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.035422680412e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.405016749226e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.640856059091e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551561091885e-02 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.218762886598e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.331257731959e-02 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.218762886598e-03 3.000000000000e-01 7.395876288660e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 38 JET 1.650000000000e+00 1.822500000000e+04 2.760000000000e+03 8.371428571429e-02 2.344000000000e-03 2.260285714286e-03 2.700000000000e+00 3.050201938139e-03 3.643585932930e+00 8.371428571429e-04 1.000000000000e+00 4.185714285714e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.249869808824e-05 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.925853950345e-03 7.078665128398e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.896762871609e-03 4.654836194755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.645324446252e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.645324446252e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.692295863369e-03 5.605131577403e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.470280769798e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.454728419829e-04 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.665886509521e-03 6.768123816834e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.841714285714e-03 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.388244376534e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371428571429e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.749379883154e-03 6.867859928682e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.348571428571e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.925428571429e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371428571429e-05 1.000000000000e-01 8.371428571429e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 39 JET 1.650000000000e+00 3.422500000000e+04 2.760000000000e+03 9.238383838384e-03 7.760242424242e-04 2.494363636364e-04 2.700000000000e+00 3.332083685718e-04 3.606782034618e+00 9.238383838384e-05 1.000000000000e+00 4.619191919192e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.914008977875e-04 6.401562309312e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.758216120868e-04 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.238383838384e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.221058112171e-04 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.729292310428e-04 7.284057934970e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.774592903881e-04 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.040377232973e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.808893880668e-04 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.328383410261e-04 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.238383838384e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.057386145607e-04 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016222222222e-04 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.124828282828e-04 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.847676767677e-05 2.000000000000e-01 9.238383838384e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 40 JET 1.650000000000e+00 5.522500000000e+04 2.760000000000e+03 9.152525252525e-04 2.196606060606e-04 2.471181818182e-05 2.700000000000e+00 3.301116365219e-05 3.606782034618e+00 9.152525252525e-06 1.000000000000e+00 4.576262626263e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.720694372124e-05 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.486604847220e-05 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.968856888781e-05 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.020333333333e-05 3.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783145172866e-05 8.503822669835e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.565973747713e-05 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.322020202020e-06 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.881722930247e-05 9.704122835167e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.713994781455e-05 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.517774607344e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098303030303e-04 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098303030303e-05 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.111858585859e-05 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.152525252525e-07 1.000000000000e-01 9.152525252525e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 41 JET 1.650000000000e+00 8.122500000000e+04 2.760000000000e+03 9.035353535354e-05 6.957222222222e-05 2.439545454545e-06 2.700000000000e+00 3.258855080773e-06 3.606782034618e+00 9.035353535354e-07 1.000000000000e+00 4.517676767677e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.783332106543e-06 6.400781202322e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.170723498195e-06 4.616004766029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.533123846517e-06 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.348953219990e-06 4.813262926540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.236191002575e-06 1.022227958921e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.632685584512e-06 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.131818181818e-07 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.181525789393e-05 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173699118594e-06 6.832825184358e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.710606060606e-07 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.413534785787e-05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.324747474747e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.228282828283e-07 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.035353535354e-08 1.000000000000e-01 9.035353535354e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 42 JET 1.650000000000e+00 1.260250000000e+05 2.760000000000e+03 2.403030303030e-05 2.931696969697e-05 6.488181818182e-07 2.700000000000e+00 8.667206525611e-07 3.606782034618e+00 2.403030303030e-07 1.000000000000e+00 1.201515151515e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403030303030e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733183003123e-06 7.212489168103e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.345696969697e-06 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.864427568284e-07 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.501990057530e-06 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.057779342075e-06 1.272468074256e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.995268590530e-07 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.189264796443e-07 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.364242424242e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.187021629079e-06 9.101098834756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.177239615774e-07 4.898979485566e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.448852213693e-06 1.851350858157e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.806060606061e-08 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.170303030303e-07 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403030303030e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 43 JET 2.450000000000e+00 6.250000000000e+02 2.760000000000e+03 7.103409090909e+02 1.349647727273e+01 1.917920454545e+01 2.700000000000e+00 8.152376726459e+01 1.147671015723e+01 7.103409090909e+00 1.000000000000e+00 3.551704545455e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.605612274538e+01 1.211476372035e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.303350234080e+01 7.465922581972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.135419410730e+01 1.145283807621e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.193753143255e+01 7.311634564172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.165602999993e+01 4.456455991031e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.920326212120e+02 2.703386764782e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.491715909091e+01 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.263512088526e+01 4.594289934255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.312619061184e+01 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.954083157760e+01 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278613636364e+02 1.800000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841363636364e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.420681818182e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 44 JET 2.450000000000e+00 1.406250000000e+03 2.760000000000e+03 8.467391304348e+01 1.270108695652e+00 2.286195652174e+00 2.700000000000e+00 6.933375730161e+00 8.188325637674e+00 8.467391304348e-01 1.000000000000e+00 4.233695652174e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.286776933122e+00 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.901780569551e+00 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608967709108e+00 6.624198064672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622965110284e+00 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.710329205866e+00 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.281203849832e+01 2.694104675027e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.347697809373e+00 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.783634769104e+00 3.287476235656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.959580692721e+00 4.676269881006e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.936549413321e+00 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404157995482e-01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.540217391304e-01 3.000000000000e-01 8.467391304348e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.318369565217e+00 5.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.773913043478e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.467391304348e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 45 JET 2.450000000000e+00 2.756250000000e+03 2.760000000000e+03 1.096808510638e+01 2.851702127660e-01 2.961382978723e-01 2.700000000000e+00 7.000905387053e-01 6.382978723404e+00 1.096808510638e-01 1.000000000000e+00 5.484042553191e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.308514861747e-01 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.540815650269e-01 8.698706800439e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.545492534693e-01 6.879498528236e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.636906500821e-01 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.199094225861e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.827791153061e+00 1.666463320928e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622790222644e-01 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.369588726509e-01 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.674592991739e-01 5.173731728646e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.818851148328e-02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.134551309889e-01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.653364413213e-02 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.387234042553e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290425531915e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.096808510638e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.096808510638e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 46 JET 2.450000000000e+00 4.900000000000e+03 2.760000000000e+03 1.898947368421e+00 2.468631578947e-02 5.127157894737e-02 2.700000000000e+00 9.994459833795e-02 5.263157894737e+00 1.898947368421e-02 1.000000000000e+00 9.494736842105e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430526346772e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.512586378697e-01 7.965393901120e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.158669155765e-01 6.101639124039e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.861052693544e-02 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.892859294974e-02 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.089144188683e-01 1.100159079406e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.031235680244e-02 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.617980655305e-02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.120700756638e-01 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.329263157895e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.709052631579e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.034001667332e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.595789473684e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.937263157895e-02 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.797894736842e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.898947368421e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 47 JET 2.450000000000e+00 9.025000000000e+03 2.760000000000e+03 2.259375000000e-01 6.100312500000e-03 6.100312500000e-03 2.700000000000e+00 1.072077388952e-02 4.745017489138e+00 2.259375000000e-03 1.000000000000e+00 1.129687500000e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.067582427870e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.172762361891e-02 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.539155170671e-02 6.812305043082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.711250000000e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.279986910910e-03 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.253124831560e-02 9.972336737195e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.092005279864e-02 4.833218389438e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.957132612226e-03 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.821286097467e-02 8.061017305527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.518750000000e-03 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.259375000000e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.037500000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.570712560047e-02 6.951978135754e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129687500000e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.100312500000e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.807500000000e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.259375000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 48 JET 2.450000000000e+00 1.822500000000e+04 2.760000000000e+03 1.169791666667e-02 1.006020833333e-03 3.158437500000e-04 2.700000000000e+00 5.169797625472e-04 4.419417382416e+00 1.169791666667e-04 1.000000000000e+00 5.848958333333e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.231063317551e-03 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.190212627130e-04 7.001428425686e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.112113844350e-04 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.112113844350e-04 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245320013265e-03 1.064565639122e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.213125081175e-04 4.456455991031e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.581383547109e-04 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-03 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.509375000000e-04 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.013069300469e-05 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-03 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.358333333333e-05 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.637708333333e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 49 JET 2.450000000000e+00 3.422500000000e+04 2.760000000000e+03 5.484375000000e-04 2.138906250000e-04 1.480781250000e-05 2.700000000000e+00 3.281805808813e-05 5.983919423477e+00 5.484375000000e-06 1.000000000000e+00 2.742187500000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.032812500000e-05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.915175082716e-05 8.962142600963e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.209052827727e-05 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086046033869e-05 3.803616699932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.158700994145e-05 1.669962574431e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.637066352088e-05 4.808326112069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.771637014162e-06 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.580023803678e-05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072771614248e-05 7.426136276692e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.094807042303e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.902296874889e-05 1.805547008527e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.871875000000e-06 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.484375000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.935937500000e-06 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.484375000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 50 JET 2.450000000000e+00 5.522500000000e+04 2.760000000000e+03 6.525000000000e-05 7.373250000000e-05 1.761750000000e-06 2.700000000000e+00 3.904507423819e-06 5.983919423477e+00 6.525000000000e-07 1.000000000000e+00 3.262500000000e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.036116595822e-06 1.078332045337e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.626772552223e-06 7.090839160494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.243179467133e-06 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.205063793729e-06 4.911975162804e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542745147051e-05 2.364360378623e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.883228494501e-06 2.886173937932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308258432039e-06 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.376063560260e-05 2.108909670896e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.774809319092e-06 8.850282481367e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.780978911632e-07 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.068280909808e-05 3.169779172119e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.438500000000e-06 1.140000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.045500000000e-06 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.022750000000e-06 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 6.525000000000e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 51 JET 3.200000000000e+00 6.250000000000e+02 2.760000000000e+03 3.643023255814e+02 8.378953488372e+00 9.836162790698e+00 2.700000000000e+00 4.278224577054e+01 1.174361039344e+01 7.286046511628e+00 2.000000000000e+00 1.821511627907e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.732426029169e+01 1.299038105677e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.103205816862e+01 8.518215775619e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.260157065178e+01 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.583659215976e+01 9.837047321224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.719182778858e+01 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 1.419381890534e+02 3.896164780910e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.293280207436e+00 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.791760168442e+01 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.895072544921e+01 5.201922721456e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.165767441860e+01 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.643023255814e-01 1.000000000000e-01 1.457209302326e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.921744186047e+01 1.900000000000e+01 0.000000000000e+00 0.000000000000e+00 3.643023255814e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.286046511628e+00 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 52 JET 3.200000000000e+00 1.406250000000e+03 2.760000000000e+03 3.169662921348e+01 7.290224719101e-01 8.558089887640e-01 2.700000000000e+00 2.775851404707e+00 8.757560262989e+00 6.339325842697e-01 2.000000000000e+00 1.584831460674e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.300334656458e+00 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.460111075886e+00 1.407124727947e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.519981695435e+00 7.950314459190e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.903909688777e+00 6.006662967072e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.607191011236e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.411592932205e+01 4.453448102314e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.078617244183e+00 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.205305743310e+00 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.910231487098e+00 6.026607669328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.745008611321e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.300334656458e+00 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.169662921348e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.584831460674e-01 5.000000000000e-01 1.584831460674e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.838404494382e+00 5.800000000000e+00 0.000000000000e+00 0.000000000000e+00 9.508988764045e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.169662921348e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 53 JET 3.200000000000e+00 2.756250000000e+03 2.760000000000e+03 2.476923076923e+00 5.696923076923e-02 6.687692307692e-02 2.700000000000e+00 1.861066684125e-01 7.513623258889e+00 2.476923076923e-02 1.000000000000e+00 1.238461538462e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.665237108455e-02 1.883480820184e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.101103735559e-01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.452404027642e-01 9.901010049485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.437202466250e-01 5.802370205356e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.075507550741e-02 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 8.911580611102e-01 3.597843103861e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218233263387e-01 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.991551410400e-02 2.822676035254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.912370696406e-01 7.720751258783e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.953846153846e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.087303842409e-02 3.668787265569e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.256584317296e-02 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 5.449230769231e-02 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.907692307692e-02 4.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733846153846e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.476923076923e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 54 JET 3.200000000000e+00 4.900000000000e+03 2.760000000000e+03 1.949450549451e-01 7.602857142857e-03 5.263516483516e-03 2.700000000000e+00 1.421010114259e-02 7.289285253528e+00 1.949450549451e-03 1.000000000000e+00 9.747252747253e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.024790992489e-03 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.440708973772e-02 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823231377781e-02 9.352539762011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.423365924068e-02 7.301369734509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.119525895818e-03 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 5.052650905304e-02 2.591833327975e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.200891602663e-02 6.160154218849e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.943308443721e-03 2.535744466621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839934349858e-02 9.438220171198e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.986861078383e-03 1.532155344604e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.949450549451e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.607558105461e-03 8.246211251235e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.891900894610e-03 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 8.577582417582e-03 4.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.618043956044e-02 8.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.754505494505e-03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.949450549451e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 55 JET 3.200000000000e+00 9.025000000000e+03 2.760000000000e+03 4.981318681319e-03 7.471978021978e-04 1.344956043956e-04 2.700000000000e+00 3.631025280686e-04 7.289285253528e+00 4.981318681319e-05 1.000000000000e+00 2.490659340659e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.248746556107e-05 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.951572554462e-04 1.395528573695e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.949022211970e-04 9.935164819972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.989282425302e-04 1.001598722044e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.266078359737e-04 2.541653005428e+00 0.000000000000e+00 0.000000000000e+00 1.076100313891e-03 2.160271973618e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.138018936706e-04 8.307075297600e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.518281092641e-04 3.047950130826e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.227793949560e-04 1.250229978844e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.866997975946e-04 3.747999466382e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.313948522368e-06 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.030885262153e-05 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.894607212320e-04 1.183342722967e+01 0.000000000000e+00 0.000000000000e+00 1.245329670330e-04 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.295142857143e-04 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 8.966373626374e-05 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.981318681319e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 56 JET 3.200000000000e+00 1.822500000000e+04 2.760000000000e+03 1.656043956044e-04 1.142670329670e-04 4.471318681319e-06 2.700000000000e+00 1.189867294031e-05 7.184998258584e+00 1.656043956044e-06 1.000000000000e+00 8.280219780220e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.746238219267e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.933261280850e-05 2.375094734953e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.002643178651e-05 1.209293492085e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.124130575688e-05 1.282653499586e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.492111973781e-06 4.524102120863e+00 0.000000000000e+00 0.000000000000e+00 6.004455483417e-05 3.625782674127e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.439450549451e-06 5.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.908801978496e-06 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.147297092577e-05 2.504339982910e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.298003156125e-06 5.010738468529e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.025999467570e-07 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.941132373727e-05 2.379847684202e+01 0.000000000000e+00 0.000000000000e+00 4.388516483516e-05 2.650000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.968131868132e-05 3.000000000000e+01 0.000000000000e+00 0.000000000000e+00 3.312087912088e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.656043956044e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 57 JET 4.000000000000e+00 6.250000000000e+02 2.760000000000e+03 5.962820512821e+01 3.458435897436e+00 1.609961538462e+00 2.700000000000e+00 9.012899621300e+00 1.511516169558e+01 1.192564102564e+00 2.000000000000e+00 2.981410256410e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.166566058831e+01 1.956399754651e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.797399610157e+00 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.102718827993e+01 1.849324200891e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.105250064093e+00 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.187581483443e+00 7.022819946432e+00 5.891963696049e+01 9.881168959187e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.279950526226e+00 3.823610858861e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.360204199565e+00 7.312318373813e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.801736850439e+00 8.052794545995e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.899641814431e+00 4.862869523234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.788846153846e-01 3.000000000000e-01 8.944230769231e-01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.848474358974e+01 3.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.192564102564e+00 2.000000000000e+00 + 58 JET 4.000000000000e+00 1.406250000000e+03 2.760000000000e+03 1.705128205128e+00 1.091282051282e-01 4.603846153846e-02 2.700000000000e+00 2.630096732846e-01 1.542462745579e+01 1.705128205128e-02 1.000000000000e+00 8.525641025641e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.858746170787e-01 1.090091739259e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.774358974359e-01 2.800000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.005817488444e-01 1.762810256380e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.762182464737e-02 3.965791219921e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.464229583063e-02 5.550450432172e+00 3.081615327118e+00 1.807263124174e+02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.291937057339e-01 7.576773719731e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.849160242400e-01 1.084469916595e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.379555132070e-01 1.395528573695e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.873081587070e-01 1.098498975876e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.115384615385e-02 3.000000000000e+00 3.239743589744e-02 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.898717948718e-01 1.700000000000e+01 3.239743589744e-02 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.705128205128e-02 1.000000000000e+00 + 59 JET 4.000000000000e+00 2.756250000000e+03 2.760000000000e+03 1.170128205128e-02 2.106230769231e-03 3.159346153846e-04 2.700000000000e+00 1.849526844349e-03 1.580618975120e+01 1.170128205128e-04 1.000000000000e+00 5.850641025641e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.339170754172e-04 4.562893818620e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.967146121391e-03 2.535744466621e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.989217948718e-03 1.700000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.013832097485e-04 4.284857057126e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.356701275007e-04 6.287089946867e+00 1.978996083123e-02 1.691264319969e+02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.044548353643e-03 8.926785535679e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.639736494189e-04 6.528973885688e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.755192307692e-03 1.500000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.120246761931e-05 7.794228634060e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.366825792399e-04 7.150349641801e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.810135422857e-04 2.401561991705e+00 1.766893589744e-03 1.510000000000e+01 2.340256410256e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.989217948718e-03 1.700000000000e+01 2.106230769231e-04 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.170128205128e-04 1.000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat new file mode 100644 index 0000000000..b3aa77fc87 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat @@ -0,0 +1,91 @@ +ATLASR04JETS36PB 91 90 + 1 JET 1.500000000000e-01 6.250000000000e+02 7.000000000000e+03 4.836252525253e+06 4.159177171717e+04 1.692688383838e+05 3.500000000000e+00 5.373613916947e+05 1.111111111111e+01 3.385376767677e+04 7.000000000000e-01 4.836252525253e+04 1.000000000000e+00 1.595963333333e+04 3.300000000000e-01 4.741501044466e+05 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.812192774975e+05 9.950251253109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.409729524307e+05 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.778750940579e+01 5.107837115649e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.515099706773e+01 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.840133173867e+01 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218324040404e+01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.522905050505e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 JET 1.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.587498000000e+02 1.785373620000e+00 9.056243000000e+00 3.500000000000e+00 7.762494000000e+00 3.000000000000e+00 8.797493200000e-01 3.400000000000e-01 2.587498000000e+00 1.000000000000e+00 1.552498800000e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.460304583802e+00 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.963547351838e+00 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.281864838627e+00 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.113073030023e+00 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.600656175281e+00 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.716352002359e+00 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.504758566475e+01 5.815496539419e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.797381513927e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.722517000724e-01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.762494000000e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.164374100000e+01 4.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587498000000e-01 1.000000000000e-01 2.587498000000e-01 1.000000000000e-01 1.034999200000e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587498000000e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 JET 1.500000000000e-01 5.522500000000e+04 7.000000000000e+03 6.458558000000e+01 5.867712000000e-01 2.260495300000e+00 3.500000000000e+00 1.937567400000e+00 3.000000000000e+00 2.389666460000e-01 3.700000000000e-01 6.458558000000e-01 1.000000000000e+00 3.229279000000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.553380989240e+00 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.747077019023e+00 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.574087196917e+00 2.437211521391e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.448055825419e-01 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.841255483015e+00 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.415972616299e-01 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072990147476e+00 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.277042456766e+00 3.525620512761e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.643278781380e-01 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.137511749677e+00 6.406246951219e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.291711600000e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.583423200000e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.458558000000e-02 1.000000000000e-01 6.458558000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 JET 1.500000000000e-01 8.122500000000e+04 7.000000000000e+03 2.108709000000e+01 1.813387870000e-01 7.380481500000e-01 3.500000000000e+00 6.326127000000e-01 3.000000000000e+00 5.904385200000e-02 2.800000000000e-01 2.108709000000e-01 1.000000000000e+00 1.054354500000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.088541239687e+00 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130843934797e-01 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.227948398415e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.508007121884e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.677342829179e-01 2.218107301282e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.049069481757e-01 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245567122771e+00 5.906775770249e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.341403535164e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.095717337913e-01 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404271955841e+00 6.659391864127e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.217418000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.476096300000e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.108709000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 JET 1.500000000000e-01 1.260250000000e+05 7.000000000000e+03 6.071452000000e+00 6.253595560000e-02 2.125008200000e-01 3.500000000000e+00 1.214290400000e-01 2.000000000000e+00 1.578577520000e-02 2.600000000000e-01 6.071452000000e-02 1.000000000000e+00 3.035726000000e-03 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.105621220015e-01 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286517613379e-01 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.497933620771e-02 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.124038787046e-01 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.184711275569e-01 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540234454386e-02 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.765279379109e-01 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.537511048430e-01 4.179413834499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.474547218656e-02 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.103847964323e-01 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071452000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.857161600000e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071452000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 JET 1.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.354871000000e+00 2.736839420000e-02 4.742048500000e-02 3.500000000000e+00 2.709742000000e-02 2.000000000000e+00 2.845229100000e-03 2.100000000000e-01 1.354871000000e-02 1.000000000000e+00 6.774355000000e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.987197492667e-03 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.468692450762e-02 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.736705271069e-02 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.802538627923e-02 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783141337478e-03 5.744562646538e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.010401485603e-02 6.650375929224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.983502480653e-02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.740398119500e-03 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.050068729607e-01 7.750322573932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.709742000000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.419484000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.354871000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 JET 1.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.534889000000e-01 1.138234258000e-02 1.237211150000e-02 3.500000000000e+00 7.069778000000e-03 2.000000000000e+00 6.716289100000e-04 1.900000000000e-01 3.534889000000e-03 1.000000000000e+00 1.767444500000e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130244700000e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.220437144415e-03 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.544319783641e-03 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.010230212274e-02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.180150376233e-03 1.465435088975e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.262207839817e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.459924658064e-02 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.075298982200e-02 5.870902826653e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960190775030e-03 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.258239713385e-02 9.217374897442e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.060466700000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.474422300000e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.534889000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 JET 1.500000000000e-01 4.900000000000e+05 7.000000000000e+03 6.560428000000e-02 3.667320000000e-03 2.296149800000e-03 3.500000000000e+00 1.312085600000e-03 2.000000000000e+00 1.115272760000e-04 1.700000000000e-01 6.560428000000e-04 1.000000000000e+00 1.377689880000e-04 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.755379760000e-03 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.198232909660e-03 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.685082702261e-04 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286830920527e-03 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.965251531714e-04 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.988417177238e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.774599092367e-03 7.277877437825e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.871764297280e-03 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.249647038469e-04 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.369699246633e-03 9.709273917240e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.968128400000e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.592299600000e-04 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.560428000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 JET 1.500000000000e-01 8.100000000000e+05 7.000000000000e+03 1.028887000000e-02 1.718241290000e-03 3.601104500000e-04 3.500000000000e+00 2.057774000000e-04 2.000000000000e+00 1.131775700000e-05 1.100000000000e-01 1.028887000000e-04 1.000000000000e+00 2.160662700000e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.895544679926e-04 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.311239865139e-04 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039124933752e-04 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.652637232917e-04 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082778309760e-04 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.520248152983e-05 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.345408947584e-04 8.111103500757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.604546901782e-04 7.391041875135e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.018166505795e-04 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.185454650763e-03 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.144435000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.259983000000e-05 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028887000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 JET 1.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.161318000000e-03 4.331716140000e-04 4.064613000000e-05 3.500000000000e+00 2.322636000000e-05 2.000000000000e+00 1.393581600000e-06 1.200000000000e-01 1.161318000000e-05 1.000000000000e+00 2.438767800000e-06 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.846413871694e-05 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.333975717564e-05 5.454126877879e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.434592031995e-06 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.600085800000e-05 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.854109994968e-06 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.927054997484e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.725128219441e-05 8.374216381250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.992734819210e-05 8.604649905720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.690458200000e-05 4.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.749701991332e-04 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.129226000000e-06 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.645272000000e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.161318000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 JET 1.500000000000e-01 1.822500000000e+06 7.000000000000e+03 4.074800000000e-04 2.387832800000e-04 1.426180000000e-05 3.500000000000e+00 8.149600000000e-06 2.000000000000e+00 3.259840000000e-07 8.000000000000e-02 4.074800000000e-06 1.000000000000e+00 8.557080000000e-07 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.796483620728e-06 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587658420224e-05 6.350393688583e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.712319474830e-06 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.042663212760e-05 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.786102597034e-06 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.259585907816e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.796567936206e-05 9.317188417114e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.975541193184e-05 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.652518982122e-05 8.963676700997e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.763536693750e-05 1.905255888326e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.037400000000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.222440000000e-05 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e-07 1.000000000000e-01 4.074800000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 JET 5.500000000000e-01 6.250000000000e+02 7.000000000000e+03 4.792047959184e+06 2.923149255102e+04 1.677216785714e+05 3.500000000000e+00 5.378829341941e+05 1.122448979592e+01 3.354433571429e+04 7.000000000000e-01 4.792047959184e+04 1.000000000000e+00 1.437614387755e+04 3.000000000000e-01 4.675317576678e+05 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.930063679174e+05 8.201219421525e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.698162530795e+05 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.498195010204e+05 7.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.012660142857e+05 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.006330071429e+05 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.060580622449e+05 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.180645104871e+05 4.550549417378e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.389693908163e+05 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.229662346939e+04 1.300000000000e+00 1.868898704082e+05 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.584095918367e+03 2.000000000000e-01 9.584095918367e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 JET 5.500000000000e-01 1.406250000000e+03 7.000000000000e+03 7.511626262626e+05 8.938835252525e+03 2.629069191919e+04 3.500000000000e+00 5.311250892766e+04 7.070707070707e+00 3.229999292929e+03 4.300000000000e-01 7.511626262626e+03 1.000000000000e+00 1.502325252525e+03 2.000000000000e-01 3.607145188736e+04 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.740529494035e+04 1.030473192276e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.927277571087e+04 6.559535044498e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.160792978071e+04 8.201676657855e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.697610916630e+04 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.802790303030e+04 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403720404040e+04 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.381900656505e+04 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403720404040e+04 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245662293926e+03 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.511626262626e+03 1.000000000000e+00 1.276976464646e+04 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.511626262626e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 JET 5.500000000000e-01 2.756250000000e+03 7.000000000000e+03 1.533194949495e+05 3.296369141414e+03 5.366182323232e+03 3.500000000000e+00 9.292090603000e+03 6.060606060606e+00 4.292945858586e+02 2.800000000000e-01 1.533194949495e+03 1.000000000000e+00 2.913070404040e+02 1.900000000000e-01 2.737300499705e+03 1.785357107136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.092018035509e+04 7.122499561250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.695729764210e+03 5.671639974469e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.017193937875e+03 4.576843890718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.242870850440e+03 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.493595354459e+03 2.930870177951e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.537889222100e+03 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.319665175952e+03 4.121892769105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.542516188971e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983357325650e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.857440491762e+03 2.515949125082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.755545302475e+02 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.533194949495e+02 1.000000000000e-01 7.665974747475e+02 5.000000000000e-01 1.839833939394e+03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.533194949495e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 JET 5.500000000000e-01 4.900000000000e+03 7.000000000000e+03 3.817552525253e+04 3.168568595960e+02 1.336143383838e+03 3.500000000000e+00 1.928056830936e+03 5.050505050505e+00 1.145265757576e+02 3.000000000000e-01 3.817552525253e+02 1.000000000000e+00 6.108084040404e+01 1.600000000000e-01 2.290531515152e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.208496204425e+03 5.785110197740e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823156133902e+03 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.399928314911e+03 3.667083309662e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.627584247531e+02 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134237193189e+03 2.971110903349e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.216933807431e+02 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.633426294893e+03 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.562400707217e+02 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.101394332687e+02 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.594375424511e+02 1.465435088975e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.290531515152e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.817552525253e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 21 JET 5.500000000000e-01 9.025000000000e+03 7.000000000000e+03 8.592065656566e+03 4.811556767677e+01 3.007222979798e+02 3.500000000000e+00 3.471541679420e+02 4.040404040404e+00 3.264984949495e+01 3.800000000000e-01 8.592065656566e+01 1.000000000000e+00 9.451272222222e+00 1.100000000000e-01 3.436826262626e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.983398080808e+02 5.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.181385625325e+02 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.455512552758e+02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.486867316405e+01 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.284180899587e+02 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.519372851342e+01 1.107925990308e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.040098544065e+02 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.929136555484e+01 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.577619696970e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.136692407088e+02 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.577619696970e+01 3.000000000000e-01 6.014445959596e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.592065656566e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 22 JET 5.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.481745454545e+03 6.519680000000e+00 5.186109090909e+01 3.500000000000e+00 4.490137741047e+01 3.030303030303e+00 5.186109090909e+00 3.500000000000e-01 1.481745454545e+01 1.000000000000e+00 1.185396363636e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.152293637489e+01 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.417497256293e+01 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.894248078044e+01 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.185396363636e+01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631788034059e+01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.116237315044e+01 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.353325106957e+01 4.962610200288e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299094124411e+01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481745454545e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.335388318117e+01 4.950505024742e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.926269090909e+01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481745454545e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 23 JET 5.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.479865656566e+02 1.337686868687e+00 8.679529797980e+00 3.500000000000e+00 7.514744413835e+00 3.030303030303e+00 9.671476060606e-01 3.900000000000e-01 2.479865656566e+00 1.000000000000e+00 1.735905959596e-01 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071520077764e+01 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.955028035521e+00 3.611094017054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.978960574680e+00 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.627730704404e+00 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.403319407571e+00 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.228432171337e+00 8.986100377806e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.377330423419e+01 5.554052574472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.556227411343e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130783295729e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568600791538e+01 6.325345840347e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.479865656566e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.735905959596e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.479865656566e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 24 JET 5.500000000000e-01 5.522500000000e+04 7.000000000000e+03 6.173322000000e+01 4.444791840000e-01 2.160662700000e+00 3.500000000000e+00 1.851996600000e+00 3.000000000000e+00 1.851996600000e-01 3.000000000000e-01 6.173322000000e-01 1.000000000000e+00 4.321325400000e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.667418072421e+00 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.237776006074e+00 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.389683205386e+00 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.141647377449e+00 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.176175809103e+00 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.890172628969e+00 6.301587101675e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.018166505795e+00 3.269174207656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.754259602530e+00 7.701298591796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173322000000e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.469328800000e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173322000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 25 JET 5.500000000000e-01 8.122500000000e+04 7.000000000000e+03 1.996652000000e+01 1.357723360000e-01 6.988282000000e-01 3.500000000000e+00 5.989956000000e-01 3.000000000000e+00 4.991630000000e-02 2.500000000000e-01 1.996652000000e-01 1.000000000000e+00 1.397656400000e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.397723649406e-01 3.705064102010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.379856453298e-01 2.694438717061e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.388430805287e-01 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.312745429668e-01 2.660826939130e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631217844486e-01 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.142636333652e-01 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.311535940510e+00 6.568675665612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.237691372781e-01 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.187454063551e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.645997088244e+00 8.243785538210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.993304000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.397656400000e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996652000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 26 JET 5.500000000000e-01 1.260250000000e+05 7.000000000000e+03 5.745468000000e+00 5.285830560000e-02 2.010913800000e-01 3.500000000000e+00 1.149093600000e-01 2.000000000000e+00 1.723640400000e-02 3.000000000000e-01 5.745468000000e-02 1.000000000000e+00 4.021827600000e-03 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.911609678012e-01 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.438663351586e-01 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.801034199948e-02 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.740791473176e-01 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.510441785581e-02 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.051542425524e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.863159715556e-01 6.723838189606e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.442161845320e-01 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.368917143261e-02 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.234055126490e-01 9.109884741313e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745468000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.021827600000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745468000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 27 JET 5.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.212253000000e+00 2.133463410000e-02 4.242885500000e-02 3.500000000000e+00 2.424506000000e-02 2.000000000000e+00 2.909407200000e-03 2.400000000000e-01 1.212253000000e-02 1.000000000000e+00 8.485771000000e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.304351764637e-02 3.550704155516e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290993401146e-02 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.574762840721e-02 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290993401146e-02 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.458486970759e-02 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.636759000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.758419200000e-02 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.336667609272e-02 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.115799702037e-01 9.204346799203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.636759000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.849012000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.212253000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 28 JET 5.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.219092000000e-01 1.039074000000e-02 1.126682200000e-02 3.500000000000e+00 6.438184000000e-03 2.000000000000e+00 6.760093200000e-04 2.100000000000e-01 3.219092000000e-03 1.000000000000e+00 8.047730000000e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.002063578423e-02 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.417894448339e-03 2.304343724361e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.931455200000e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.281355085230e-03 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.251123555104e-03 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.149445756145e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.189455904704e-02 6.801470429253e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.627075076774e-02 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.365745069478e-03 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.387702434497e-02 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.438184000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.287636800000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.219092000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 29 JET 5.500000000000e-01 4.900000000000e+05 7.000000000000e+03 6.723420000000e-02 2.823836400000e-03 2.353197000000e-03 3.500000000000e+00 1.344684000000e-03 2.000000000000e+00 9.412788000000e-05 1.400000000000e-01 6.723420000000e-04 1.000000000000e+00 1.680855000000e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.264854658235e-03 3.368605052540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.815240043465e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.396006250247e-04 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.379120785532e-03 2.051219149677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.815240043465e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.689368000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.941942382464e-03 7.350340128185e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.105692632858e-03 6.106553856309e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.636337190064e-04 1.135781669160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.417711099706e-03 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344684000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.344684000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.723420000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 30 JET 5.500000000000e-01 8.100000000000e+05 7.000000000000e+03 7.945860000000e-03 9.455573400000e-04 2.781051000000e-04 3.500000000000e+00 1.589172000000e-04 2.000000000000e+00 1.032961800000e-05 1.300000000000e-01 7.945860000000e-05 1.000000000000e+00 1.986465000000e-05 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.254375504401e-04 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.553515572195e-04 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.559830564637e-05 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.344701981272e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.879399493055e-05 7.399324293474e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.605224423636e-05 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.777310882943e-04 8.529361054616e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.487247762264e-04 6.905794668248e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.429341928234e-04 3.057368149242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.197164520385e-03 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.972930000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.945860000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.945860000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 31 JET 5.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.405806000000e-03 4.301766360000e-04 4.920321000000e-05 3.500000000000e+00 2.811612000000e-05 2.000000000000e+00 1.968128400000e-06 1.400000000000e-01 1.405806000000e-05 1.000000000000e+00 3.514515000000e-06 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.677747402472e-05 5.461455849863e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.064805111263e-05 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.403751094081e-06 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.924335950484e-05 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.061360254811e-05 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.795571381965e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308891452925e-04 9.310612224768e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.133811081819e-04 8.065203035262e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.865499059174e-05 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478169235281e-04 1.762810256380e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.434836000000e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.092773200000e-05 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405806000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 32 JET 5.500000000000e-01 1.822500000000e+06 7.000000000000e+03 2.393945000000e-04 1.594367370000e-04 8.378807500000e-06 3.500000000000e+00 4.787890000000e-06 2.000000000000e+00 3.590917500000e-07 1.500000000000e-01 2.393945000000e-06 1.000000000000e+00 5.984862500000e-07 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.664566612742e-05 6.953236656407e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.214086557429e-05 5.071488933242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.345577488915e-06 9.797958971133e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.146450971916e-06 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.541981840525e-06 1.061838029080e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.633339500000e-05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286781423900e-05 9.552355730394e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.758236068607e-05 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.277549350058e-05 2.204540768505e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.196972500000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.745468000000e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.393945000000e-07 1.000000000000e-01 2.393945000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 33 JET 1.000000000000e+00 6.250000000000e+02 7.000000000000e+03 4.074800000000e+06 2.770864000000e+04 1.426180000000e+05 3.500000000000e+00 4.573755102041e+05 1.122448979592e+01 4.156296000000e+04 1.020000000000e+00 4.074800000000e+04 1.000000000000e+00 1.018700000000e+04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 3.708068000000e+05 9.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.069652616372e+05 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.709858688502e+05 9.104394543296e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.297240000000e+05 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.549495944746e+05 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.957740672659e+05 7.258615570479e+00 0.000000000000e+00 0.000000000000e+00 7.543884476820e+04 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.630938381855e+05 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733945905116e+05 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.083276211062e+05 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.830312000000e+05 9.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.889760000000e+04 1.200000000000e+00 8.149600000000e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 34 JET 1.000000000000e+00 1.406250000000e+03 7.000000000000e+03 6.923002040816e+05 1.045373308163e+04 2.423050714286e+04 3.500000000000e+00 4.945001457726e+04 7.142857142857e+00 4.984561469388e+03 7.200000000000e-01 6.923002040816e+03 1.000000000000e+00 1.384600408163e+03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.297522600789e+04 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.104767736051e+04 1.026255328853e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.664171930688e+04 6.737210105081e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.661181700748e+04 5.288430769141e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.551123287914e+04 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.609233970908e+04 8.102314484146e+00 0.000000000000e+00 0.000000000000e+00 1.702481487455e+04 2.459166525472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.223997569454e+04 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.198097259102e+04 4.619523784980e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.223997569454e+04 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.148050009613e+03 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.846101428571e+03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.499951326531e+04 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.384600408163e+03 2.000000000000e-01 6.923002040816e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 35 JET 1.000000000000e+00 2.756250000000e+03 7.000000000000e+03 1.430295959596e+05 3.704466535354e+03 5.006035858586e+03 3.500000000000e+00 8.668460361188e+03 6.060606060606e+00 6.579361414141e+02 4.600000000000e-01 1.430295959596e+03 1.000000000000e+00 3.003621515152e+02 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 2.413558213504e+03 1.687453703069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.076315528750e+04 7.525124583686e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.357139857854e+03 5.842944463197e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.427292733122e+03 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.229610744693e+03 1.558845726812e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.517649732921e+03 6.654321903846e+00 0.000000000000e+00 0.000000000000e+00 4.192011773623e+03 2.930870177951e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.413558213504e+03 1.687453703069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.146529433785e+03 4.297382924525e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.860591919192e+02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.716017907821e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540524237320e+03 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.371877518571e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.151479797980e+02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.433917474747e+03 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.290887878788e+02 3.000000000000e-01 1.430295959596e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 36 JET 1.000000000000e+00 4.900000000000e+03 7.000000000000e+03 3.488275757576e+04 3.453393000000e+02 1.220896515152e+03 3.500000000000e+00 1.761755433119e+03 5.050505050505e+00 1.639489606061e+02 4.700000000000e-01 3.488275757576e+02 1.000000000000e+00 6.278896363636e+01 1.800000000000e-01 0.000000000000e+00 0.000000000000e+00 2.441793030303e+02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.978424422864e+03 5.671639974469e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.623735225365e+03 4.654836194755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371861818182e+02 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.852495359968e+02 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.797985373237e+03 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 9.767172121212e+02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.908439076383e+02 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.484362782410e+03 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.062806264398e+01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.790620606061e+02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.412450751217e+02 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.488275757576e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.232413636364e+02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.976551515152e+01 2.000000000000e-01 3.488275757576e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 37 JET 1.000000000000e+00 9.025000000000e+03 7.000000000000e+03 7.768873737374e+03 5.515385858586e+01 2.719105808081e+02 3.500000000000e+00 3.138938883787e+02 4.040404040404e+00 5.438211616162e+01 7.000000000000e-01 7.768873737374e+01 1.000000000000e+00 9.322648484848e+00 1.200000000000e-01 0.000000000000e+00 0.000000000000e+00 3.538890408455e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.467440163339e+02 5.750434766172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.991520818674e+02 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.100471298938e+02 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.592107962255e+01 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.264776177536e+02 4.202380277890e+00 0.000000000000e+00 0.000000000000e+00 2.178057476968e+02 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.084933039592e+01 1.169401556353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.729059393939e+02 4.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.084933039592e+01 1.169401556353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.330662121212e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.991520818674e+02 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553774747475e+01 2.000000000000e-01 2.330662121212e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.087642323232e+02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553774747475e+01 2.000000000000e-01 7.768873737374e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 38 JET 1.000000000000e+00 1.822500000000e+04 7.000000000000e+03 1.317107070707e+03 6.585535353535e+00 4.609874747475e+01 3.500000000000e+00 3.991233547597e+01 3.030303030303e+00 8.297774545455e+00 6.300000000000e-01 1.317107070707e+01 1.000000000000e+00 1.053685656566e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.578517801302e+01 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 1.070022842544e+01 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.783740756375e+01 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.246816350730e+01 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.317107070707e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.788853326677e+01 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.634214141414e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.239082020202e+01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.317107070707e+00 1.000000000000e-01 1.317107070707e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 39 JET 1.000000000000e+00 3.422500000000e+04 7.000000000000e+03 2.109429292929e+02 1.222440000000e+00 7.383002525253e+00 3.500000000000e+00 6.392209978574e+00 3.030303030303e+00 1.328940454545e+00 6.300000000000e-01 2.109429292929e+00 1.000000000000e+00 1.265657575758e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.357881032369e+00 4.436214602564e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.646499337354e+00 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.469800534586e+00 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.353594546613e+00 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.105834174138e+00 3.368605052540e+00 0.000000000000e+00 0.000000000000e+00 4.469800534586e+00 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726642290995e+00 8.185352771872e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.213746991615e+01 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.933539796335e+00 2.338803112705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.916226454873e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.364582293368e+01 6.468964368429e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.218858585859e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.531315151515e+00 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.109429292929e-01 1.000000000000e-01 2.109429292929e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 40 JET 1.000000000000e+00 5.522500000000e+04 7.000000000000e+03 5.103687000000e+01 5.093500000000e-01 1.786290450000e+00 3.500000000000e+00 1.531106100000e+00 3.000000000000e+00 2.704954110000e-01 5.300000000000e-01 5.103687000000e-01 1.000000000000e+00 3.062212200000e-02 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.194585410000e+00 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.786290450000e+00 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.051842527054e+00 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.723829708922e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.990437930000e+00 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 1.001090514261e+00 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.500285791375e-01 4.898979485566e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.167576929907e+00 6.206448259673e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.659090819858e+00 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 41 JET 1.000000000000e+00 8.122500000000e+04 7.000000000000e+03 1.619733000000e+01 1.587338340000e-01 5.669065500000e-01 3.500000000000e+00 4.859199000000e-01 3.000000000000e+00 6.316958700000e-02 3.900000000000e-01 1.619733000000e-01 1.000000000000e+00 9.718398000000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.835536323846e-01 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.144586270723e-01 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.313441458570e-01 1.428285685709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.131906818385e-01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.245430848467e-01 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 2.694556195070e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.058069932335e-02 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.085462834273e+00 6.701492371107e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.913134752093e-01 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.805459850696e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.368722305256e+00 8.450295852809e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.457759700000e-01 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.239466000000e-02 2.000000000000e-01 1.619733000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 42 JET 1.000000000000e+00 1.260250000000e+05 7.000000000000e+03 4.461906000000e+00 4.729620360000e-02 1.561667100000e-01 3.500000000000e+00 8.923812000000e-02 2.000000000000e+00 2.141714880000e-02 4.800000000000e-01 4.461906000000e-02 1.000000000000e+00 2.677143600000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.351891250445e-01 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.052811280280e-01 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.501007165266e-02 1.232882800594e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.263594133121e-01 2.831960451701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731972598341e-01 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 6.659310623326e-02 1.492481155660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.593219117694e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.987395182243e-01 6.695334196289e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.764992632078e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.826113732247e-02 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.052911594950e-01 9.083363914322e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.923812000000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.354287200000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.461906000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 43 JET 1.000000000000e+00 2.025000000000e+05 7.000000000000e+03 9.351666000000e-01 1.813286000000e-02 3.273083100000e-02 3.500000000000e+00 1.870333200000e-02 2.000000000000e+00 4.021216380000e-03 4.300000000000e-01 9.351666000000e-03 1.000000000000e+00 5.610999600000e-04 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.563463342431e-02 3.810511776652e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.715205937501e-02 2.903446228192e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.597329373133e-03 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.715205937501e-02 2.903446228192e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.123225790088e-02 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 1.277965979210e-02 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.339212671332e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.312720898498e-02 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.267834393060e-02 4.563715591489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.258149340000e-02 9.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.870333200000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.122199920000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.351666000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 44 JET 1.000000000000e+00 3.025000000000e+05 7.000000000000e+03 2.180018000000e-01 8.000666060000e-03 7.630063000000e-03 3.500000000000e+00 4.360036000000e-03 2.000000000000e+00 8.938073800000e-04 4.100000000000e-01 2.180018000000e-03 1.000000000000e+00 6.104050400000e-04 2.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.200662484823e-03 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.886048600000e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.663852906122e-04 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.125360943386e-03 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.597032507431e-03 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 2.947058605252e-03 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.930454595169e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.602387378556e-02 7.350340128185e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.220810080000e-02 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.526012600000e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.398019800000e-02 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.360036000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.270027000000e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.180018000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 45 JET 1.000000000000e+00 4.900000000000e+05 7.000000000000e+03 4.146109000000e-02 2.761308594000e-03 1.451138150000e-03 3.500000000000e+00 8.292218000000e-04 2.000000000000e+00 1.036527250000e-04 2.500000000000e-01 4.146109000000e-04 1.000000000000e+00 2.114515590000e-04 5.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.538536080809e-03 3.710795063056e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.441371102066e-04 1.071214264281e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.123371537159e-04 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.536050700000e-04 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.159163639138e-03 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 3.911431407745e-04 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.480457034022e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.337746503665e-03 8.050310553016e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.802459935369e-03 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.190921844818e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.604919870737e-03 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.292218000000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.292218000000e-04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.146109000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 46 JET 1.000000000000e+00 8.100000000000e+05 7.000000000000e+03 2.750490000000e-03 6.133592700000e-04 9.626715000000e-05 3.500000000000e+00 5.500980000000e-05 2.000000000000e+00 7.151274000000e-06 2.600000000000e-01 2.750490000000e-05 1.000000000000e+00 2.392926300000e-05 8.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.636657112727e-04 5.950420153233e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.812544135869e-05 3.567562192871e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.490674626860e-05 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.351666000000e-05 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.697021124802e-04 6.169886546769e+00 0.000000000000e+00 0.000000000000e+00 2.251373094551e-05 8.185352771872e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134056079221e-05 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.747142000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 48 JET 1.000000000000e+00 1.822500000000e+06 7.000000000000e+03 1.039074000000e-04 1.080636960000e-04 3.636759000000e-06 3.500000000000e+00 2.078148000000e-06 2.000000000000e+00 2.701592400000e-07 2.600000000000e-01 1.039074000000e-06 1.000000000000e+00 1.756035060000e-06 1.690000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039074000000e-07 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.041305612690e-05 1.002147693706e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.190397148421e-05 3.070423423569e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039074000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.871203000000e-06 9.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039074000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 49 JET 1.650000000000e+00 6.250000000000e+02 7.000000000000e+03 3.885762886598e+06 2.137169587629e+04 1.360017010309e+05 3.500000000000e+00 4.406535232224e+05 1.134020618557e+01 4.274339175258e+04 1.100000000000e+00 3.885762886598e+04 1.000000000000e+00 1.165728865979e+04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.596955227350e+05 9.256754290787e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841393535195e+05 7.312318373813e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.575324196253e+05 9.201086892319e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.542869749820e+05 9.117565464531e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.885762886598e+05 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.331457731959e+04 6.000000000000e-01 7.771525773196e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 50 JET 1.650000000000e+00 1.406250000000e+03 7.000000000000e+03 5.902158762887e+05 6.905525752577e+03 2.065755567010e+04 3.500000000000e+00 4.259289828887e+04 7.216494845361e+00 4.544662247423e+03 7.700000000000e-01 5.902158762887e+03 1.000000000000e+00 8.853238144330e+02 1.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.744821126764e+04 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 + 51 JET 1.650000000000e+00 2.756250000000e+03 7.000000000000e+03 1.133043877551e+05 2.277314244898e+03 3.965653571429e+03 3.500000000000e+00 6.937003331945e+03 6.122448979592e+00 5.778523775510e+02 5.100000000000e-01 1.133043877551e+03 1.000000000000e+00 1.472957040816e+02 1.300000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.158738519436e+03 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.459217871773e+03 7.465922581972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.667412077137e+03 5.884513573780e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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4.830284383838e+00 4.900000000000e-01 9.857723232323e+00 1.000000000000e+00 4.928861616162e-01 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.570049791628e+01 5.650442460551e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.647357595960e+01 3.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.299757497877e+00 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.084349555556e+01 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 55 JET 1.650000000000e+00 3.422500000000e+04 7.000000000000e+03 1.553774747475e+02 1.258557545455e+00 5.438211616162e+00 3.500000000000e+00 4.708408325681e+00 3.030303030303e+00 6.836608888889e-01 4.400000000000e-01 1.553774747475e+00 1.000000000000e+00 7.768873737374e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 + 56 JET 1.650000000000e+00 5.522500000000e+04 7.000000000000e+03 3.477985858586e+01 2.294647474747e-01 1.217295050505e+00 3.500000000000e+00 1.053935108662e+00 3.030303030303e+00 2.017231797980e-01 5.800000000000e-01 3.477985858586e-01 1.000000000000e+00 1.738992929293e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.514721738422e+00 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.221263423054e+00 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086791515152e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.521381616162e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.477985858586e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 57 JET 1.650000000000e+00 8.122500000000e+04 7.000000000000e+03 9.857723232323e+00 1.261788573737e-01 3.450203131313e-01 3.500000000000e+00 2.987188858280e-01 3.030303030303e+00 4.633129919192e-02 4.700000000000e-01 9.857723232323e-02 1.000000000000e+00 5.914633939394e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.899411792654e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.830986398172e-01 2.871846096155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583384807615e-01 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.915537261511e-01 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.113378152644e-01 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.893606796644e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.122223245601e-02 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.149907982348e-01 7.253102784326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.945552954084e-01 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.707407748534e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.987843690193e-01 9.117565464531e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971544646465e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.871950909091e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e-03 1.000000000000e-01 9.857723232323e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 58 JET 1.650000000000e+00 1.260250000000e+05 7.000000000000e+03 2.393945000000e+00 2.444880000000e-02 8.378807500000e-02 3.500000000000e+00 4.787890000000e-02 2.000000000000e+00 9.096991000000e-03 3.800000000000e-01 2.393945000000e-02 1.000000000000e+00 1.436367000000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.723950765850e-02 3.644173431658e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.472511890040e-02 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.951453616068e-02 1.232882800594e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.779400447434e-02 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.557536750211e-01 6.506150935845e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.039671355193e-02 1.687453703069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.548093439684e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.803420912119e-01 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.140269451895e-01 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.870488096919e-03 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.358582601836e-01 9.852283999155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.590917500000e-02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.393945000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 59 JET 1.650000000000e+00 2.025000000000e+05 7.000000000000e+03 3.983117000000e-01 7.886571660000e-03 1.394090950000e-02 3.500000000000e+00 7.966234000000e-03 2.000000000000e+00 1.832233820000e-03 4.600000000000e-01 3.983117000000e-03 1.000000000000e+00 2.788181900000e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.727497634387e-02 4.337049688440e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.280031524011e-02 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.397833248224e-03 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.294359819126e-02 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.888995700300e-02 7.253102784326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.014374777262e-03 1.509966887054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.422257248901e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.126873693287e-02 7.850318464878e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.117804992625e-02 5.316954015223e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.589235331172e-02 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.593246800000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983117000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983117000000e-04 1.000000000000e-01 3.983117000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 60 JET 1.650000000000e+00 3.025000000000e+05 7.000000000000e+03 7.385575000000e-02 3.484972700000e-03 2.584951250000e-03 3.500000000000e+00 1.477115000000e-03 2.000000000000e+00 3.249653000000e-04 4.400000000000e-01 7.385575000000e-04 1.000000000000e+00 4.283633500000e-04 5.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.956075817112e-03 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179370431310e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.588757180686e-03 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.957874003381e-03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.130917013739e-03 8.301204731845e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.107836250000e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.954230000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.573991537512e-03 8.901123524589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.985536657311e-03 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.828946259741e-04 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.033980500000e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.692787500000e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.862690000000e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.385575000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 61 JET 1.650000000000e+00 4.900000000000e+05 7.000000000000e+03 9.687837000000e-03 8.496233049000e-04 3.390742950000e-04 3.500000000000e+00 1.937567400000e-04 2.000000000000e+00 3.972013170000e-05 4.100000000000e-01 9.687837000000e-05 1.000000000000e+00 6.006458940000e-05 6.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.896672145607e-04 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765207910282e-04 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.417208373813e-04 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.149292155060e-04 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.822888679160e-04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.351965335080e-04 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.971983806128e-05 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.015179466916e-03 1.047890738579e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.787674551649e-04 9.070832376359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996611263928e-04 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765207910282e-03 1.822086715829e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.812702200000e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.034445770000e-04 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.937567400000e-05 2.000000000000e-01 9.687837000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 62 JET 1.650000000000e+00 8.100000000000e+05 7.000000000000e+03 4.950882000000e-04 1.940745744000e-04 1.732808700000e-05 3.500000000000e+00 1.485264600000e-05 3.000000000000e+00 1.881335160000e-06 3.800000000000e-01 4.950882000000e-06 1.000000000000e+00 3.366599760000e-06 6.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.986843556746e-05 8.052794545995e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.470857190197e-05 4.990741427884e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.246510435607e-06 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.228996824481e-05 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.941058400000e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.926065392597e-06 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.886835477906e-06 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.692852720340e-05 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.210200579637e-05 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.650803198896e-05 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.147280780557e-04 2.317326045251e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.445970200000e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.930843980000e-05 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.485264600000e-06 3.000000000000e-01 4.950882000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 63 JET 1.650000000000e+00 1.210000000000e+06 7.000000000000e+03 7.059591000000e-05 7.271378730000e-05 2.470856850000e-06 3.500000000000e+00 2.117877300000e-06 3.000000000000e+00 1.058938650000e-07 1.500000000000e-01 7.059591000000e-07 1.000000000000e+00 5.435885070000e-07 7.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.059591000000e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.074530903257e-06 8.604649905720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.765485384160e-06 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.547396780993e-06 7.857957749950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.208013694549e-06 5.960704656330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024857143076e-05 1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.329874323073e-07 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.668271087797e-07 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.095374656899e-05 1.551612064918e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.883427400000e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.133862108701e-06 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.181345078205e-05 3.089902911096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.623705930000e-06 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.494823720000e-06 9.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.529795500000e-07 5.000000000000e-01 7.059591000000e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 64 JET 2.450000000000e+00 6.250000000000e+02 7.000000000000e+03 2.928762500000e+06 2.020846125000e+04 1.025066875000e+05 3.500000000000e+00 3.050794270833e+05 1.041666666667e+01 3.719528375000e+04 1.270000000000e+00 2.928762500000e+04 1.000000000000e+00 5.857525000000e+02 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.803171511610e+05 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.167284250000e+05 7.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.803171511610e+05 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.846978970661e+05 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.171505000000e+05 4.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.202314701056e+05 2.459166525472e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.714840465201e+04 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.215612856172e+05 4.150602365922e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.274179996066e+05 4.350574674684e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.907658750000e+04 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.514515000000e+04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.393143750000e+05 1.500000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.928762500000e+03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.857525000000e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 65 JET 2.450000000000e+00 1.406250000000e+03 7.000000000000e+03 4.318863541667e+05 5.916843052083e+03 1.511602239583e+04 3.500000000000e+00 3.149171332465e+04 7.291666666667e+00 3.671034010417e+03 8.500000000000e-01 4.318863541667e+03 1.000000000000e+00 8.637727083333e+01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971006488262e+04 4.563715591489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.379069939996e+04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.713246748070e+04 6.282316451756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.890828842262e+04 4.378070351194e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.984378101273e+03 2.080264406271e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.079499920641e+05 2.499499949990e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.952146098609e+03 2.304343724361e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344408875324e+04 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.861124534129e+04 4.309292285283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.320435583321e+04 3.057368149242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.162024944227e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.023204479167e+03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.202620406250e+04 5.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.318863541667e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 66 JET 2.450000000000e+00 2.756250000000e+03 7.000000000000e+03 8.401649484536e+04 2.386068453608e+03 2.940577319588e+03 3.500000000000e+00 5.196896588373e+03 6.185567010309e+00 4.620907216495e+02 5.500000000000e-01 8.401649484536e+02 1.000000000000e+00 1.680329896907e+01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.946936117359e+03 2.317326045251e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.412831060611e+03 7.632823854905e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.278182077859e+03 6.282316451756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913566739603e+03 2.277608394786e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.527968796333e+03 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.231207195991e+04 1.465435088975e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.617690268628e+03 3.115686120263e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.665032272884e+03 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.643837127929e+03 4.337049688440e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.393255948014e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.182812566190e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.412824427343e+03 2.871846096155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.182812566190e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.680329896907e+02 2.000000000000e-01 8.401649484536e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344263917526e+03 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.401649484536e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 67 JET 2.450000000000e+00 4.900000000000e+03 7.000000000000e+03 1.795852577320e+04 1.885645206186e+02 6.285484020619e+02 3.500000000000e+00 9.256972048039e+02 5.154639175258e+00 1.023635969072e+02 5.700000000000e-01 1.795852577320e+02 1.000000000000e+00 3.591705154639e+00 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.180497811803e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.257096804124e+03 7.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.967790713901e+02 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.526988569294e+02 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.774232785864e+02 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.743642458818e+03 9.709273917240e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.948041583558e+02 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.242496248734e+02 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.162368747245e+02 5.101960407530e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.387557731959e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.636099562361e+02 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.242496248734e+02 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.591705154639e+01 2.000000000000e-01 5.387557731959e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.436682061856e+02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.795852577320e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 68 JET 2.450000000000e+00 9.025000000000e+03 7.000000000000e+03 3.575844897959e+03 2.144467448980e+01 1.251545714286e+02 3.500000000000e+00 1.459528529779e+02 4.081632653061e+00 2.789159020408e+01 7.800000000000e-01 3.575844897959e+01 1.000000000000e+00 7.151689795918e-01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.072753469388e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.235046090444e+02 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.509497933766e+02 4.221374183841e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.204298836142e+01 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.557920750511e+01 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.413827741189e+02 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.118845240989e+02 3.128897569432e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.645158782438e+01 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.862187965360e+02 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.645158782438e+01 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.290317564877e+00 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.473924922834e+02 4.121892769105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.072753469388e+01 3.000000000000e-01 3.575844897959e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.933429387755e+01 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.575844897959e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 69 JET 2.450000000000e+00 1.822500000000e+04 7.000000000000e+03 5.176659183673e+02 3.157762102041e+00 1.811830714286e+01 3.500000000000e+00 1.584691586839e+01 3.061224489796e+00 3.416595061224e+00 6.600000000000e-01 5.176659183673e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.313061877551e+01 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.123692489780e+01 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.254981090596e+00 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.228169498973e+00 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.183855824305e+01 6.150406490631e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405346178846e+01 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.415359523424e+00 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.033871200197e+01 5.860674022670e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.346701503244e+00 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.176659183673e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.028566839121e+01 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.070663673469e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.764988775510e+00 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.176659183673e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 70 JET 2.450000000000e+00 3.422500000000e+04 7.000000000000e+03 6.101910101010e+01 5.430699989899e-01 2.135668535354e+00 3.500000000000e+00 1.849063666973e+00 3.030303030303e+00 4.942547181818e-01 8.100000000000e-01 6.101910101010e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.383672836704e+00 5.545268253205e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.863837752592e+00 4.693346354149e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.766463619107e-01 1.272792206136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.209656546469e+00 1.982422760160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.616126246962e+00 7.565051222563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765077038900e+00 2.892663132824e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.001935055229e-01 9.836157786453e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.312436197127e+00 7.067354526271e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.909225168395e+00 3.128897569432e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.000645018410e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.026859312467e+00 8.238173341221e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.271337070707e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.763056161616e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.101910101010e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 71 JET 2.450000000000e+00 5.522500000000e+04 7.000000000000e+03 1.028989898990e+01 1.347976767677e-01 3.601464646465e-01 3.500000000000e+00 3.118151209060e-01 3.030303030303e+00 7.305828282828e-02 7.100000000000e-01 1.028989898990e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071040404040e-01 5.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.941294779091e-01 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.069357671315e-01 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.547139739079e-01 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.623531415891e-01 9.352406107521e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.469575757576e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.727894475432e-02 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.159166196464e-01 8.901123524589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.838441370137e-01 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082886598420e+00 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173939393939e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.955080808081e-01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028989898990e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 72 JET 2.450000000000e+00 8.122500000000e+04 7.000000000000e+03 1.903631313131e+00 3.883407878788e-02 6.662709595960e-02 3.500000000000e+00 5.768579736762e-02 3.030303030303e+00 1.066033535354e-02 5.600000000000e-01 1.903631313131e-02 1.000000000000e+00 4.187988888889e-03 2.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.005146175818e-01 5.280151512978e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.501249467124e-02 3.940494892777e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.748840495975e-02 3.019933774108e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.762405359294e-02 4.077683165720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.756789752725e-01 9.228623949430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.397726363732e-02 2.835489375752e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.601201772031e-02 8.411301920630e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.780378754827e-01 9.352539762011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.025269387551e-01 5.385861119635e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.242965383056e-03 4.330127018922e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.383343363094e-01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.713268181818e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.330167676768e-02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.903631313131e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.903631313131e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 73 JET 2.450000000000e+00 1.260250000000e+05 7.000000000000e+03 2.840012121212e-01 8.718837212121e-03 9.940042424242e-03 3.500000000000e+00 8.606097337006e-03 3.030303030303e+00 2.612811151515e-03 9.200000000000e-01 2.840012121212e-03 1.000000000000e+00 3.692015757576e-04 1.300000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.692847347494e-02 5.960704656330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.332916053483e-02 4.693346354149e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.604814932957e-03 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.539118884571e-02 5.419409561936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.713797750438e-02 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.874314527237e-03 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.941829082781e-03 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.431599702617e-02 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.193392310210e-02 7.723179397114e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.412888190918e-03 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.724588716342e-02 1.663580475961e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.988008484848e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.272009696970e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.840012121212e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 74 JET 2.450000000000e+00 2.025000000000e+05 7.000000000000e+03 1.691042000000e-02 1.943679600000e-03 5.918647000000e-04 3.500000000000e+00 5.073126000000e-04 3.000000000000e+00 1.809414940000e-04 1.070000000000e+00 1.691042000000e-04 1.000000000000e+00 2.367458800000e-05 1.400000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.470987854523e-03 8.698706800439e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.023150285382e-03 6.050413209030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.730846442197e-04 2.206241147291e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.023150285382e-03 6.050413209030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.716215650141e-03 1.606237840421e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.664947092762e-04 2.758622844827e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.211324356185e-04 1.307669683062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.454924758307e-03 1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.779615835843e-03 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.895824600183e-03 2.303801206702e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.029250400000e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.469835200000e-04 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.382084000000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.691042000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 75 JET 2.450000000000e+00 3.025000000000e+05 7.000000000000e+03 3.188531000000e-04 2.914317334000e-04 1.115985850000e-05 3.500000000000e+00 1.275412400000e-05 4.000000000000e+00 -2.231971700000e-07 -7.000000000000e-02 3.188531000000e-06 1.000000000000e+00 5.101649600000e-07 1.600000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.652474400000e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.799500304646e-06 2.132486811214e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.609033700000e-06 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.769529909481e-06 2.123087374556e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.321459482026e-05 1.355313616843e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.230064383767e-05 1.326649916142e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.665238114626e-05 8.358827668998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.144017377398e-05 2.240535650241e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.507384100000e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.550824800000e-05 8.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.782796500000e-06 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.188531000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 76 JET 3.200000000000e+00 6.250000000000e+02 7.000000000000e+03 2.070261290323e+06 1.614803806452e+04 7.245914516129e+04 3.500000000000e+00 2.226087408949e+05 1.075268817204e+01 7.929100741935e+04 3.830000000000e+00 2.070261290323e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.090861412531e+05 1.009950493836e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.594370035981e+05 7.701298591796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.990898284213e+05 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.238817759690e+05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.286219198135e+04 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 7.010670182555e+05 3.386369737639e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.832780016449e+04 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.602801340713e+04 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.016338502137e+04 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.488145148521e+04 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140522580645e+03 2.000000000000e-01 1.242156774194e+04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.898365806452e+05 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 6.210783870968e+03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140522580645e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 77 JET 3.200000000000e+00 1.406250000000e+03 7.000000000000e+03 2.893541489362e+05 4.832214287234e+03 1.012739521277e+04 3.500000000000e+00 2.462588501584e+04 8.510638297872e+00 7.725755776596e+03 2.670000000000e+00 2.893541489362e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.432449168239e+04 4.950505024742e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.333857086094e+04 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996962937467e+04 6.901449123191e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.795938272969e+04 9.662685961988e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.092128627681e+03 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 1.033099673386e+05 3.570364127088e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.670614217209e+03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.013565910252e+04 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.433617680042e+04 4.954543369474e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.000157125828e+04 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.893541489362e+02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.604187340426e+03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.880801968085e+04 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.893541489362e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 78 JET 3.200000000000e+00 2.756250000000e+03 7.000000000000e+03 4.557342105263e+04 1.681659236842e+03 1.595069736842e+03 3.500000000000e+00 2.878321329640e+03 6.315789473684e+00 8.112068947368e+02 1.780000000000e+00 4.557342105263e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.592095500740e+02 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.912618206393e+03 8.585307216402e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.155116104673e+03 6.923149572268e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.266298306464e+03 7.167112389240e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.031704664428e+02 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 1.123733739600e+04 2.465765601188e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.625860139471e+03 3.567562192871e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.929882685020e+02 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.312486277777e+03 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.184032211068e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.578709614758e+02 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.327900321473e+03 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.879040287207e+02 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 1.367202631579e+02 3.000000000000e-01 9.114684210526e+01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.570418421053e+02 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.557342105263e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 79 JET 3.200000000000e+00 4.900000000000e+03 7.000000000000e+03 9.094019791667e+03 1.536889344792e+02 3.182906927083e+02 3.500000000000e+00 4.736468641493e+02 5.208333333333e+00 3.046496630208e+02 3.350000000000e+00 9.094019791667e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.365813854167e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.307736946145e+02 6.936137253544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.875912869589e+02 5.361669516112e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.683331201135e+02 7.349149610669e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.273504947917e+02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 1.477603320800e+03 1.624807680927e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.052598443303e+02 3.356709698499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.501890515356e+02 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.523989221139e+02 4.974685919734e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.637607916667e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.967004952171e+01 8.760707733968e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.865382754420e+02 2.051219149677e+00 0.000000000000e+00 0.000000000000e+00 2.728205937500e+01 3.000000000000e-01 2.728205937500e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.545983364583e+02 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.094019791667e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 80 JET 3.200000000000e+00 9.025000000000e+03 7.000000000000e+03 1.375770103093e+03 4.691376051546e+01 4.815195360825e+01 3.500000000000e+00 5.673278775640e+01 4.123711340206e+00 5.736961329897e+01 4.170000000000e+00 1.375770103093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.629014276389e+00 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.089641188703e+02 7.920227269466e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.040663962455e+01 5.117616632770e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.135385483082e+02 8.252726822087e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.253386214440e+01 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 1.788501134021e+02 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.931229109503e+01 3.584340943605e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830343076179e+01 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.542530264374e+01 6.936137253544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.100021920694e+01 1.526433752247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.266931072200e+00 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.589214778147e+01 5.516339365920e+00 0.000000000000e+00 0.000000000000e+00 2.751540206186e+00 2.000000000000e-01 9.630390721649e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.026694226804e+01 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375770103093e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375770103093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 81 JET 3.200000000000e+00 1.822500000000e+04 7.000000000000e+03 1.218239175258e+02 1.876088329897e+00 4.263837113402e+00 3.500000000000e+00 3.767750026570e+00 3.092783505155e+00 2.948138804124e+00 2.420000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.650076912315e+00 7.921331958705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.130055574260e+00 5.031898250164e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.640700041850e+00 7.092778017110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583710927835e+00 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.646877339865e+01 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.034928793525e+00 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.177311945855e+00 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.874502389315e+00 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.436478350515e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.529363986128e+00 7.822243923581e+00 0.000000000000e+00 0.000000000000e+00 2.436478350515e-01 2.000000000000e-01 2.436478350515e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.629308865979e+00 3.800000000000e+00 0.000000000000e+00 0.000000000000e+00 3.654717525773e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 82 JET 3.200000000000e+00 3.422500000000e+04 7.000000000000e+03 5.789958163265e+00 2.269653205102e-01 2.026485357143e-01 3.500000000000e+00 1.772436172428e-01 3.061224489796e+00 1.511179080612e-01 2.610000000000e+00 5.789958163265e-02 1.000000000000e+00 9.842928877551e-03 1.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.090802400180e-01 8.792468367870e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.170377889135e-01 7.202777242148e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.421374238028e-01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.924453539563e-01 3.323777970924e+00 0.000000000000e+00 0.000000000000e+00 1.169514221256e+00 2.019900987672e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.256412885307e-01 3.897114317030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.064478540661e-02 1.392838827718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.996033067192e-01 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.740919962495e-01 4.733920151418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.898364735695e-02 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.484807856148e-01 1.465435088975e+01 0.000000000000e+00 0.000000000000e+00 5.789958163265e-02 1.000000000000e+00 2.894979081633e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.531874479592e-01 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.315983265306e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.789958163265e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 83 JET 3.200000000000e+00 5.522500000000e+04 7.000000000000e+03 3.004125510204e-01 2.457364272449e-02 1.051443928571e-02 3.500000000000e+00 1.226173677634e-02 4.081632653061e+00 8.922252765306e-03 2.970000000000e+00 3.004125510204e-03 1.000000000000e+00 5.707838469388e-04 1.900000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.539285845206e-02 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.093155573554e-02 6.967603605258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.961356709217e-02 1.651514456491e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.315227282749e-02 4.378070351194e+00 0.000000000000e+00 0.000000000000e+00 7.510313775510e-02 2.500000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.038380664995e-02 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207572386983e-03 7.348469228350e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.205775714286e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.346681636580e-02 7.811529939775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.261509500481e-02 1.751427988814e+01 0.000000000000e+00 0.000000000000e+00 3.304538061224e-03 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.905363163265e-02 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 9.012376530612e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.004125510204e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 84 JET 3.200000000000e+00 8.122500000000e+04 7.000000000000e+03 9.435837373737e-03 3.708273797980e-03 3.302543080808e-04 3.500000000000e+00 3.812459544944e-04 4.040404040404e+00 6.388061902020e-04 6.770000000000e+00 9.435837373737e-05 1.000000000000e+00 1.981525848485e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.049988602831e-03 2.172556098240e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.581030797120e-03 1.675559608012e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.368937526823e-03 3.570364127088e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737321908395e-03 1.841195263952e+01 0.000000000000e+00 0.000000000000e+00 4.287599233625e-03 4.543952024395e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.132300484848e-03 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.507164314962e-04 2.657066051117e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.184507743573e-03 3.374907406137e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.270490709084e-03 2.406241883103e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.752209097657e-04 2.916761903207e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.341405748892e-03 3.541186241925e+01 0.000000000000e+00 0.000000000000e+00 6.605086161616e-05 7.000000000000e-01 9.435837373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.284068929293e-04 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 1.509733979798e-04 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.435837373737e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 85 JET 4.000000000000e+00 6.250000000000e+02 7.000000000000e+03 9.270170000000e+05 9.640976800000e+03 3.244559500000e+04 3.500000000000e+00 1.030018888889e+05 1.111111111111e+01 4.347709730000e+04 4.690000000000e+00 9.270170000000e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028111588056e+05 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.111663607676e+04 8.750285709621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.755725365164e+04 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.106198676693e+04 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.266292978378e+04 4.602173399602e+00 5.534221613906e+05 5.969924622640e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086818014689e+04 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364862276231e+04 4.708502946797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.685564303367e+04 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.920839185117e+04 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.781051000000e+03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.390525500000e+05 1.500000000000e+01 9.270170000000e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.854034000000e+04 2.000000000000e+00 + 86 JET 4.000000000000e+00 1.406250000000e+03 7.000000000000e+03 9.672052747253e+04 1.092930765934e+03 3.385218461538e+03 3.500000000000e+00 8.502903514068e+03 8.791208791209e+00 7.718298092308e+03 7.980000000000e+00 9.672052747253e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.029467428571e+03 5.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.168678580041e+04 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.318076063609e+03 7.566207768757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.000000000000e+00 2.120463230769e+03 2.200000000000e-01 7.603249499554e+04 7.888440910598e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.139154644649e+04 9.481956549152e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.055417503206e+04 9.395078498874e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.219689570805e+04 7.490493975700e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.178272722002e+04 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.638469230769e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 3 JET 1.500000000000e-01 2.756250000000e+03 7.000000000000e+03 1.890638135593e+05 4.972378296610e+03 6.617233474576e+03 3.500000000000e+00 9.613414248779e+03 5.084745762712e+00 5.671914406780e+02 3.000000000000e-01 1.890638135593e+03 1.000000000000e+00 3.592212457627e+02 1.900000000000e-01 3.343544231896e+03 1.768473918383e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.424392266519e+04 7.533923280735e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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9.386309089129e+03 4.964624859947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.890638135593e+03 1.000000000000e+00 2.646893389831e+03 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.890638135593e+02 1.000000000000e-01 1.890638135593e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 JET 1.500000000000e-01 4.900000000000e+03 7.000000000000e+03 4.957066964286e+04 4.758784285714e+02 1.734973437500e+03 3.500000000000e+00 1.770381058673e+03 3.571428571429e+00 1.387978750000e+02 2.800000000000e-01 4.957066964286e+02 1.000000000000e+00 7.435600446429e+01 1.500000000000e-01 5.452773660714e+02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.191827665075e+03 6.438944012802e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.825189733241e+02 9.733961166966e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.698473730471e+03 3.426368339802e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.770026947047e+02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.292945919332e+01 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.081230335500e+03 4.198511641046e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.220365590601e+01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.982826785714e+02 4.000000000000e-01 6.444187053571e+02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.957066964286e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 JET 1.500000000000e-01 9.025000000000e+03 7.000000000000e+03 1.075294444444e+04 9.032473333333e+01 3.763530555556e+02 3.500000000000e+00 2.986929012346e+02 2.777777777778e+00 5.161413333333e+01 4.800000000000e-01 1.075294444444e+02 1.000000000000e+00 1.075294444444e+01 1.000000000000e-01 4.898199307067e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.724460223554e+02 6.253598963797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.500604122358e+02 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.419185447869e+02 4.109744517607e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.396848458156e+02 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.075294444444e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 JET 1.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.872467619048e+03 1.142205247619e+01 6.553636666667e+01 3.500000000000e+00 3.566604988662e+01 1.904761904762e+00 6.928130190476e+00 3.700000000000e-01 1.872467619048e+01 1.000000000000e+00 1.310727333333e+00 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.120985103805e+01 4.337049688440e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.047854593686e+01 2.695830113342e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 2.262511232502e+01 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.744935238095e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.872467619048e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 JET 1.500000000000e-01 3.422500000000e+04 7.000000000000e+03 3.144256730769e+02 2.106652009615e+00 1.100489855769e+01 3.500000000000e+00 6.046647559172e+00 1.923076923077e+00 1.414915528846e+00 4.500000000000e-01 3.144256730769e+00 1.000000000000e+00 1.886554038462e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.809177563158e+01 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.358595457678e+01 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.351087275976e+00 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.183161506386e+00 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.335246088665e+00 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.450705584380e+00 7.794228634060e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.842746374262e+01 5.860674022670e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783226323866e+00 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.207574710888e+00 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.432770192308e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.449089653065e+01 4.608687448721e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.144256730769e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.515405384615e+00 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.144256730769e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 JET 1.500000000000e-01 5.522500000000e+04 7.000000000000e+03 7.694646601942e+01 6.925181941748e-01 2.693126310680e+00 3.500000000000e+00 7.470530681497e-01 9.708737864078e-01 2.000608116505e-01 2.600000000000e-01 7.694646601942e-01 1.000000000000e+00 3.847323300971e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.310421204424e+00 6.901449123191e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.770072776699e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.995639145638e-01 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.073809919750e+00 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.859495372837e+00 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.998255658255e-01 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.509581545363e+00 5.860674022670e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.150030767831e+00 2.794190401530e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.538929320388e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.586390218130e+00 5.960494945892e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.694646601942e-02 1.000000000000e-01 7.694646601942e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.694646601942e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 JET 1.500000000000e-01 8.122500000000e+04 7.000000000000e+03 2.536762745098e+01 2.105513078431e-01 8.878669607843e-01 3.500000000000e+00 2.487022299116e-01 9.803921568627e-01 6.088230588235e-02 2.400000000000e-01 2.536762745098e-01 1.000000000000e+00 1.268381372549e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.152483449956e+00 4.543126676640e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.985631327582e-01 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.052032382375e-01 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.124009574314e-01 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.445183539038e-01 2.146508793367e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.242754864798e-01 4.898979485566e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.500554668181e+00 5.915234568468e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.648873141020e-01 3.803616699932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.262023531146e-01 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.705678222346e+00 6.723838189606e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.073525490196e-02 2.000000000000e-01 7.610288235294e-02 3.000000000000e-01 1.775733921569e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.536762745098e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 JET 1.500000000000e-01 1.260250000000e+05 7.000000000000e+03 7.150874509804e+00 6.650313294118e-02 2.502806078431e-01 3.500000000000e+00 7.010661284121e-02 9.803921568627e-01 1.930736117647e-02 2.700000000000e-01 7.150874509804e-02 1.000000000000e+00 3.575437254902e-03 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.752693784084e-01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.901043546863e-01 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.965351740187e-02 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.861975677630e-01 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.358666156863e-01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.092274984468e-02 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.505050941176e-01 6.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.971487372525e-01 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.092274984468e-02 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.934103411765e-01 6.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430174901961e-02 2.000000000000e-01 1.430174901961e-02 2.000000000000e-01 2.860349803922e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.150874509804e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 JET 1.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.597960784314e+00 2.556737254902e-02 5.592862745098e-02 3.500000000000e+00 1.566628219915e-02 9.803921568627e-01 3.355717647059e-03 2.100000000000e-01 1.597960784314e-02 1.000000000000e+00 7.989803921569e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.721426561266e-02 2.954657340539e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.324180942225e-02 2.080264406271e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.756907416812e-02 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.677478545383e-02 1.675559608012e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.047852960738e-02 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.063184447520e-01 6.653382598348e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.426497378276e-02 5.273281710662e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.246614261698e-01 7.801281945937e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.793882352941e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.278368627451e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.597960784314e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 JET 1.500000000000e-01 3.025000000000e+05 7.000000000000e+03 4.135316831683e-01 1.232324415842e-02 1.447360891089e-02 3.500000000000e+00 4.094373100676e-03 9.900990099010e-01 1.323301386139e-03 3.200000000000e-01 4.135316831683e-03 1.000000000000e+00 2.067658415842e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.181825511549e-02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.116474546130e-03 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.527161033266e-03 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.223068453717e-02 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.469491391743e-03 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.067658415842e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.915545005090e-02 7.050354601011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.446136907434e-02 5.915234568468e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.894721782178e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.806289024339e-02 9.204346799203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.240595049505e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.654126732673e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.135316831683e-04 1.000000000000e-01 4.135316831683e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 JET 1.500000000000e-01 4.900000000000e+05 7.000000000000e+03 7.675551485149e-02 4.037340081188e-03 2.686443019802e-03 3.500000000000e+00 7.599555925890e-04 9.900990099010e-01 1.074577207921e-04 1.400000000000e-01 7.675551485149e-04 1.000000000000e+00 1.611865811881e-04 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.499862428319e-03 3.256915718897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.684264712871e-03 4.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.907996336634e-04 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.495144589854e-03 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071145141639e-03 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.740720079039e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.034955742144e-03 7.862569554541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.840468348423e-03 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.675551485149e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.845130821011e-03 1.022093439955e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.535110297030e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.605330891089e-04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.675551485149e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 JET 1.500000000000e-01 8.100000000000e+05 7.000000000000e+03 1.190164356436e-02 1.701935029703e-03 4.165575247525e-04 3.500000000000e+00 1.178380550926e-04 9.900990099010e-01 2.023279405941e-05 1.700000000000e-01 1.190164356436e-04 1.000000000000e+00 2.499345148515e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.536110296183e-04 2.971110903349e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.054171509960e-04 5.927056605095e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.155577915604e-05 5.172040216394e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.625789575207e-04 2.206241147291e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.403183081963e-04 1.178982612255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.582365654206e-05 4.690415759823e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.765151676733e-04 8.204876598706e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.886272723232e-04 7.466424847275e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.618361584158e-04 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.438081063495e-03 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.950821782178e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.331150495050e-05 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.190164356436e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 JET 1.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.553265346535e-03 5.281102178218e-04 5.436428712871e-05 3.500000000000e+00 1.537886481717e-05 9.900990099010e-01 1.553265346535e-06 1.000000000000e-01 1.553265346535e-05 1.000000000000e+00 3.261857227723e-06 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.651825600451e-05 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.009622475248e-04 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.380668995668e-06 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.583448909823e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.465347597229e-05 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.589946757100e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.283748202799e-04 8.264835146571e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.335988798061e-04 8.601162712099e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.769432642309e-05 5.001999600160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.430004083728e-04 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.087285742574e-05 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.019244950495e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553265346535e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 JET 1.500000000000e-01 1.822500000000e+06 7.000000000000e+03 4.024369306931e-04 2.370353521782e-04 1.408529257426e-05 3.500000000000e+00 3.984524066268e-06 9.900990099010e-01 5.231680099010e-07 1.300000000000e-01 4.024369306931e-06 1.000000000000e+00 8.451175544554e-07 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.227842485829e-06 2.044504830026e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.938340825811e-05 7.301369734509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.909151805321e-06 1.716828471339e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.921926034674e-05 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.636765078468e-06 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.669464601782e-06 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.824844937532e-05 9.504209593648e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.984532095076e-05 9.901010049485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622379500784e-05 9.001111042532e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.667453318827e-05 1.905255888326e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.414621584158e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.853612475248e-06 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.024369306931e-07 1.000000000000e-01 4.024369306931e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 JET 5.500000000000e-01 6.250000000000e+02 7.000000000000e+03 6.335040625000e+06 3.040819500000e+04 2.217264218750e+05 3.500000000000e+00 1.187820117187e+06 1.875000000000e+01 4.497878843750e+04 7.100000000000e-01 6.335040625000e+04 1.000000000000e+00 1.900512187500e+04 3.000000000000e-01 7.299055553894e+05 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.986780981947e+05 9.450264546562e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.564028365146e+05 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.164806750853e+05 8.152760268768e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.946134464519e+05 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362770167916e+05 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.756106730622e+05 4.350574674684e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.946134464519e+05 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.869373775133e+05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.701536562500e+04 9.000000000000e-01 1.710460968750e+05 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.267008125000e+05 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 JET 5.500000000000e-01 1.406250000000e+03 7.000000000000e+03 9.795192307692e+05 1.008904807692e+04 3.428317307692e+04 3.500000000000e+00 1.054866863905e+05 1.076923076923e+01 4.603740384615e+03 4.700000000000e-01 9.795192307692e+03 1.000000000000e+00 1.959038461538e+03 2.000000000000e-01 7.964280464616e+04 8.130805618141e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.366964740747e+04 9.562818622143e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.464786720651e+04 9.662685961988e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.367261005922e+04 7.521303078590e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.715848446894e+04 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.498734166899e+04 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.287961701790e+04 3.356709698499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.657353862906e+04 4.754734482597e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.287961701790e+04 3.356709698499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.624348881700e+03 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.856634615385e+03 7.000000000000e-01 2.742653846154e+04 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.795192307692e+02 1.000000000000e-01 9.795192307692e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 JET 5.500000000000e-01 2.756250000000e+03 7.000000000000e+03 1.959038461538e+05 3.996438461538e+03 6.856634615385e+03 3.500000000000e+00 1.172074293228e+04 5.982905982906e+00 6.073019230769e+02 3.100000000000e-01 1.959038461538e+03 1.000000000000e+00 3.722173076923e+02 1.900000000000e-01 3.813840861842e+03 1.946792233393e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.594511696834e+04 8.139256722822e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.311824581068e+04 6.696267617113e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.526379993084e+03 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.242785660659e+03 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.053238645257e+03 3.089902911096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.689811368310e+03 1.883480820184e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.496447149258e+03 4.337049688440e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.540997523036e+02 2.828427124746e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.786308298732e+02 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.237451864346e+03 2.673480877059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.523829974379e+02 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.795192307692e+02 5.000000000000e-01 3.134461538462e+03 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.959038461538e+02 1.000000000000e-01 1.959038461538e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 JET 5.500000000000e-01 4.900000000000e+03 7.000000000000e+03 4.838825000000e+04 3.919448250000e+02 1.693588750000e+03 3.500000000000e+00 2.160189732143e+03 4.464285714286e+00 1.451647500000e+02 3.000000000000e-01 4.838825000000e+02 1.000000000000e+00 7.742120000000e+01 1.600000000000e-01 5.092274229069e+02 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.895522313732e+03 5.983936831217e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.822606240971e+03 3.766629793330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.282745036698e+03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.669745227676e+03 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.427863386031e+03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.808830311708e+02 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.160062536427e+03 4.464022849404e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.604856695119e+02 3.316624790355e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.127208550510e+02 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.772303818175e+02 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.451647500000e+02 3.000000000000e-01 5.806590000000e+02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.838825000000e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 21 JET 5.500000000000e-01 9.025000000000e+03 7.000000000000e+03 1.065862037037e+04 5.009551574074e+01 3.730517129630e+02 3.500000000000e+00 2.960727880658e+02 2.777777777778e+00 4.689792962963e+01 4.400000000000e-01 1.065862037037e+02 1.000000000000e+00 1.172448240741e+01 1.100000000000e-01 5.329310185185e+01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.985932822725e+02 5.616048432840e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.123903258161e+02 2.930870177951e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.913139587887e+02 2.733130073743e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.532964563230e+02 2.376446927663e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.083179819214e+02 2.892663132824e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.314082973269e+02 1.232882800594e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.242264484505e+02 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.282360937564e+02 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.197586111111e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.075441658863e+02 3.823610858861e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.197586111111e+01 3.000000000000e-01 4.263448148148e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.065862037037e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 22 JET 5.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.823958095238e+03 8.390207238095e+00 6.383853333333e+01 3.500000000000e+00 3.474205895692e+01 1.904761904762e+00 6.748644952381e+00 3.700000000000e-01 1.823958095238e+01 1.000000000000e+00 1.459166476190e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.670418722776e+01 5.301886456725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.652880993449e+01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.020989980997e+01 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.512833096902e+00 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.385092668326e+01 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.276770666667e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.219111345191e+01 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.748069961324e+01 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823958095238e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.211891286251e+01 5.050495025243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823958095238e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.459166476190e+01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823958095238e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 23 JET 5.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.967943269231e+02 1.454292201923e+00 1.038780144231e+01 3.500000000000e+00 5.707583210059e+00 1.923076923077e+00 1.246536173077e+00 4.200000000000e-01 2.967943269231e+00 1.000000000000e+00 2.077560288462e-01 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.081570000840e+01 3.644173431658e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.728059235717e+00 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.358606331156e+00 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.141849637318e+00 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.053159663642e+00 2.376446927663e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.460888555775e+00 8.291561975888e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.712878718878e+01 5.771265025971e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.418374053015e+00 2.499499949990e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.139860241118e+00 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.945531524046e+01 6.555150646629e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.935886538462e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.483971634615e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.967943269231e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 24 JET 5.500000000000e-01 5.522500000000e+04 7.000000000000e+03 7.388047572816e+01 4.580589495146e-01 2.585816650485e+00 3.500000000000e+00 7.172861721180e-01 9.708737864078e-01 2.438055699029e-01 3.300000000000e-01 7.388047572816e-01 1.000000000000e+00 5.171633300971e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.355791084209e+00 3.188651752701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.238468688395e+00 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.031023149168e+00 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.655318397257e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.293963330172e+00 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.228003473539e-01 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.655642529142e+00 6.301587101675e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.341847931894e+00 3.169779172119e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.801734551460e+00 7.852865718959e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.477609514563e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.910438058252e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.388047572816e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 25 JET 5.500000000000e-01 8.122500000000e+04 7.000000000000e+03 2.386953921569e+01 1.408302813725e-01 8.354338725490e-01 3.500000000000e+00 2.340150903499e-01 9.803921568627e-01 6.444775588235e-02 2.700000000000e-01 2.386953921569e-01 1.000000000000e+00 1.670867745098e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.007834585733e+00 4.222262426709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.480041381396e-01 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.465196180223e-01 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.691990385993e-01 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.585188752649e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583326109942e-01 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.623479651354e+00 6.801470429253e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.714016560304e-01 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.201488201224e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.017611543063e+00 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.386953921569e-02 1.000000000000e-01 2.386953921569e-02 1.000000000000e-01 1.670867745098e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.386953921569e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 26 JET 5.500000000000e-01 1.260250000000e+05 7.000000000000e+03 6.781346078431e+00 4.746942254902e-02 2.373471127451e-01 3.500000000000e+00 6.648378508266e-02 9.803921568627e-01 1.898776901961e-02 2.800000000000e-01 6.781346078431e-02 1.000000000000e+00 4.746942254902e-03 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.632306818590e-01 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.005662637194e-01 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.140770049519e-02 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.070255107958e-01 3.052867504495e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.057107235640e-01 1.558845726812e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.034403823529e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.700578462910e-01 6.931630399841e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.834205161672e-01 4.179413834499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.604425379758e-02 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.236165821949e-01 9.196058938480e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.356269215686e-02 2.000000000000e-01 1.356269215686e-02 2.000000000000e-01 2.712538431373e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.781346078431e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 27 JET 5.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.438164705882e+00 2.114102117647e-02 5.033576470588e-02 3.500000000000e+00 1.409965397924e-02 9.803921568627e-01 3.307778823529e-03 2.300000000000e-01 1.438164705882e-02 1.000000000000e+00 1.006715294118e-03 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.643636065543e-02 4.619523784980e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.531360080336e-02 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.081165094655e-02 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.730286075047e-02 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.736461510361e-03 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.494065846195e-02 6.601514977640e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.340985451885e-02 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.383032981750e-01 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.438164705882e-03 1.000000000000e-01 2.876329411765e-03 2.000000000000e-01 1.150531764706e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.438164705882e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 28 JET 5.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.711699009901e-01 1.009582130693e-02 1.299094653465e-02 3.500000000000e+00 3.674949514753e-03 9.900990099010e-01 7.794567920792e-04 2.100000000000e-01 3.711699009901e-03 1.000000000000e+00 9.279247524752e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.213419066975e-02 3.269174207656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.806763005272e-03 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.165842098151e-03 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.355445864492e-03 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.340466598891e-03 1.169401556353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.325341641375e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.524501105813e-02 6.801470429253e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.911705161172e-02 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.928655380265e-03 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.906111341944e-02 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.113509702970e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.855849504950e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.711699009901e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 29 JET 5.500000000000e-01 4.900000000000e+05 7.000000000000e+03 7.564603960396e-02 3.373813366337e-03 2.647611386139e-03 3.500000000000e+00 7.489706891481e-04 9.900990099010e-01 1.361628712871e-04 1.800000000000e-01 7.564603960396e-04 1.000000000000e+00 1.891150990099e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.818654137511e-03 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.452123841340e-04 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.025841584158e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.354767777345e-03 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.667911840082e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.445841096686e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.523197040998e-03 7.301369734509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.625555842029e-03 6.114736298484e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.591738512673e-04 1.135781669160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.470872074376e-03 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.269381188119e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.025841584158e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.564603960396e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 30 JET 5.500000000000e-01 8.100000000000e+05 7.000000000000e+03 9.168300000000e-03 1.091027700000e-03 3.208905000000e-04 3.500000000000e+00 9.077524752475e-05 9.900990099010e-01 1.283562000000e-05 1.400000000000e-01 9.168300000000e-05 1.000000000000e+00 2.292075000000e-05 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.600623341168e-04 5.017967716118e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404725984594e-04 1.532155344604e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.783922491986e-05 7.399324293474e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.997276988805e-04 3.269174207656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.737297042628e-05 7.348469228350e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.521152428009e-05 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.845729535037e-04 8.557452892070e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.380208046851e-04 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.797082899046e-04 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.381343677367e-03 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.667320000000e-05 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.251470000000e-05 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.168300000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 31 JET 5.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.623868316832e-03 4.676740752475e-04 5.683539108911e-05 3.500000000000e+00 1.607790412705e-05 9.900990099010e-01 1.948641980198e-06 1.200000000000e-01 1.623868316832e-05 1.000000000000e+00 4.059670792079e-06 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.165870017061e-05 5.644466316668e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.006350001901e-05 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.077152383175e-05 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.886382658202e-05 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.223302156525e-05 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.077152383175e-05 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.646505582810e-04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.342100393835e-04 8.264835146571e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.040290145388e-04 6.406246951219e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.931970581697e-04 1.805547008527e+01 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.619545315442e-05 6.832825184358e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.419257850246e-06 2.286372673035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.997560696903e-06 3.796050579220e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.108543993675e-06 1.311487704860e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.483755241750e-05 1.047890738579e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.223832017315e-05 9.382297160078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.730926800601e-05 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.225296386196e-05 2.204540768505e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.110727722772e-07 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.266436633663e-06 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.370242574257e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 33 JET 1.000000000000e+00 6.250000000000e+02 7.000000000000e+03 5.506137974684e+06 3.028375886076e+04 1.927148291139e+05 3.500000000000e+00 1.010620261176e+06 1.835443037975e+01 5.340953835443e+04 9.700000000000e-01 5.506137974684e+04 1.000000000000e+00 1.376534493671e+04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 5.794539895570e+05 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.550732265504e+05 8.264835146571e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.065168783748e+05 3.750666607418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.175272961830e+05 3.950632860695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404604897262e+05 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.809820759494e+04 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 4.459971759494e+05 8.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.708593164557e+04 1.400000000000e+00 1.101227594937e+05 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 34 JET 1.000000000000e+00 1.406250000000e+03 7.000000000000e+03 8.913625000000e+05 1.025066875000e+04 3.119768750000e+04 3.500000000000e+00 9.052900390625e+04 1.015625000000e+01 7.487445000000e+03 8.400000000000e-01 8.913625000000e+03 1.000000000000e+00 1.782725000000e+03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.100053421187e+04 7.965393901120e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.468881974339e+04 9.501052573268e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.696496360089e+04 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.512398854205e+04 5.062361109206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.033253021458e+04 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.913625000000e+02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.565450000000e+03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.398308750000e+04 8.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.913625000000e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 35 JET 1.000000000000e+00 2.756250000000e+03 7.000000000000e+03 1.732660683761e+05 4.106405820513e+03 6.064312393162e+03 3.500000000000e+00 1.036634597122e+04 5.982905982906e+00 9.356367692308e+02 5.400000000000e-01 1.732660683761e+03 1.000000000000e+00 3.638587435897e+02 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 3.499803026429e+03 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.504798596841e+04 8.684900690278e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.238943259368e+04 7.150524456290e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.568152518812e+03 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.882420484970e+03 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.158237935287e+03 4.708502946797e+00 0.000000000000e+00 0.000000000000e+00 5.470243301402e+03 3.157134776977e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.226426348719e+03 1.862122444954e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.158237935287e+03 4.708502946797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.900704475930e+02 2.828427124746e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.002112673101e+02 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.684596712559e+03 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.244134572595e+02 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.732660683761e+02 1.000000000000e-01 5.197982051282e+02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.584110598291e+03 3.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.930642735043e+02 4.000000000000e-01 1.732660683761e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 36 JET 1.000000000000e+00 4.900000000000e+03 7.000000000000e+03 4.441899099099e+04 4.042128180180e+02 1.554664684685e+03 3.500000000000e+00 1.600684360036e+03 3.603603603604e+00 2.265368540541e+02 5.100000000000e-01 4.441899099099e+02 1.000000000000e+00 7.995418378378e+01 1.800000000000e-01 0.000000000000e+00 0.000000000000e+00 4.886089009009e+02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.873448700023e+03 6.468964368429e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.761564444698e+03 3.965791219921e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.442870253188e+02 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.759702989104e+02 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086451899548e+02 1.107925990308e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.330386055857e+02 2.376446927663e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 1.961235514019e+01 2.000000000000e-01 9.806177570093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 38 JET 1.000000000000e+00 1.822500000000e+04 7.000000000000e+03 1.610516190476e+03 8.857839047619e+00 5.636806666667e+01 3.500000000000e+00 3.067649886621e+01 1.904761904762e+00 9.824148761905e+00 6.100000000000e-01 1.610516190476e+01 1.000000000000e+00 1.288412952381e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.783959641735e+01 5.454126877879e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.547882006788e+01 5.307541803886e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.747334814575e+01 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.610516190476e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.617014163843e+01 5.350467269314e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.610516190476e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.059980761905e+01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.221032380952e+00 2.000000000000e-01 1.610516190476e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 39 JET 1.000000000000e+00 3.422500000000e+04 7.000000000000e+03 2.546750000000e+02 1.629920000000e+00 8.913625000000e+00 3.500000000000e+00 4.897596153846e+00 1.923076923077e+00 1.731790000000e+00 6.800000000000e-01 2.546750000000e+00 1.000000000000e+00 1.528050000000e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.942683349288e+00 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.377053863413e+00 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.370865704355e+00 2.108909670896e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 6.206968442102e+00 2.437211521391e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.780978966692e-01 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.687017642120e+01 6.624198064672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.093500000000e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e+00 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.546750000000e-01 1.000000000000e-01 2.546750000000e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 40 JET 1.000000000000e+00 5.522500000000e+04 7.000000000000e+03 6.102309708738e+01 5.858217320388e-01 2.135808398058e+00 3.500000000000e+00 5.924572532755e-01 9.708737864078e-01 3.173201048544e-01 5.200000000000e-01 6.102309708738e-01 1.000000000000e+00 3.661385825243e-02 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.945814054829e+00 3.188651752701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.899573638587e+00 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.149358329523e+00 1.883480820184e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.414104122425e+00 2.317326045251e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.044729097962e+00 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 1.159438844660e+00 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.492206349630e-01 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.880968227771e+00 6.359834903518e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.926581420134e+00 3.157134776977e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 + 41 JET 1.000000000000e+00 8.122500000000e+04 7.000000000000e+03 1.947514705882e+01 1.577486911765e-01 6.816301470588e-01 3.500000000000e+00 1.909328143022e-01 9.803921568627e-01 9.348070588235e-02 4.800000000000e-01 1.947514705882e-01 1.000000000000e+00 1.168508823529e-02 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.369216442320e-01 4.297382924525e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.968071461247e-01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.216348690994e-01 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.357435616548e-01 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.446538377203e-01 3.823610858861e+00 0.000000000000e+00 0.000000000000e+00 3.505526470588e-01 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.118762023300e-01 5.744562646538e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.326885089393e+00 6.813222438758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.400555882353e-01 3.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.059791628614e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.680514490911e+00 8.629020801922e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.895029411765e-02 2.000000000000e-01 1.947514705882e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.310775000000e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.947514705882e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 42 JET 1.000000000000e+00 1.260250000000e+05 7.000000000000e+03 5.233321568627e+00 5.861320156863e-02 1.831662549020e-01 3.500000000000e+00 5.130707420223e-02 9.803921568627e-01 2.459661137255e-02 4.700000000000e-01 5.233321568627e-02 1.000000000000e+00 3.139992941176e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.105070668852e-01 4.022437072224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.624016977096e-01 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.233321568627e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.617045554960e-01 3.089902911096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.937742875418e-01 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 8.319993816360e-02 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.569996470588e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.577847087152e-01 6.836665854055e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.284001645726e-01 4.364344166080e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.009895285705e-02 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.782981070561e-01 9.139474820798e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.233321568627e-03 1.000000000000e-01 5.233321568627e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.326650196078e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.233321568627e-03 1.000000000000e-01 5.233321568627e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 43 JET 1.000000000000e+00 2.025000000000e+05 7.000000000000e+03 1.098598039216e+00 2.153252156863e-02 3.845093137255e-02 3.500000000000e+00 1.077056901192e-02 9.803921568627e-01 3.845093137255e-03 3.500000000000e-01 1.098598039216e-02 1.000000000000e+00 6.591588235294e-04 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.172752104993e-02 4.708502946797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.405653921569e-02 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.109093728746e-03 8.291561975888e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.177192935254e-02 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.010635236960e-02 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 1.321746307328e-02 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.854241431526e-03 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.309393076697e-02 6.653382598348e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.904166749369e-02 4.464022849404e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.054768548735e-01 9.601041610159e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.197196078431e-03 2.000000000000e-01 3.295794117647e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.690186274510e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098598039216e-03 1.000000000000e-01 1.098598039216e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 44 JET 1.000000000000e+00 3.025000000000e+05 7.000000000000e+03 2.541706930693e-01 8.463884079208e-03 8.895974257426e-03 3.500000000000e+00 2.516541515538e-03 9.900990099010e-01 9.404315643564e-04 3.700000000000e-01 2.541706930693e-03 1.000000000000e+00 7.116779405941e-04 2.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.456668051034e-03 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.812560396040e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.315605216973e-03 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.229775018820e-03 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.042719585821e-02 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 2.818889350345e-03 1.109053650641e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016682772277e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830028990099e-02 7.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.397938811881e-02 5.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.320709662573e-03 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.795877623762e-02 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.625120792079e-04 3.000000000000e-01 7.625120792079e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.083413861386e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.083413861386e-04 2.000000000000e-01 2.541706930693e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 45 JET 1.000000000000e+00 4.900000000000e+05 7.000000000000e+03 4.760657425743e-02 3.108709299010e-03 1.666230099010e-03 3.500000000000e+00 4.713522203706e-04 9.900990099010e-01 1.237770930693e-04 2.600000000000e-01 4.760657425743e-04 1.000000000000e+00 2.427935287129e-04 5.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.225580378240e-03 2.574393132371e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.060536604150e-04 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523410376238e-03 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.095770955634e-03 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 4.736794330982e-04 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.699894713938e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.813877919730e-03 8.011242100948e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.160015242146e-03 6.637770710110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.407067437309e-04 1.135781669160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.435697518641e-03 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.428197227723e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.094951207921e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.760657425743e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 46 JET 1.000000000000e+00 8.100000000000e+05 7.000000000000e+03 2.995583168317e-03 6.590282970297e-04 1.048454108911e-04 3.500000000000e+00 2.965923929027e-05 9.900990099010e-01 7.488957920792e-06 2.500000000000e-01 2.995583168317e-05 1.000000000000e+00 2.606157356436e-05 8.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.775499100388e-04 5.927056605095e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.160321327501e-05 1.722643317695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.305744430766e-05 4.358898943541e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.180503039341e-04 3.940812099048e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.663762640804e-04 5.554052574472e+00 0.000000000000e+00 0.000000000000e+00 2.201295073334e-05 7.348469228350e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405053050254e-05 4.690415759823e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.827297348371e-04 9.438220171198e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.386099989921e-04 7.965393901120e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.155048858581e-04 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.983393672931e-04 1.663580475961e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 3.162237222732e-05 6.905794668248e+00 0.000000000000e+00 0.000000000000e+00 4.905204661828e-06 1.071214264281e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.993979654384e-06 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.494928316832e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.579106930693e-05 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 4.579106930693e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 48 JET 1.000000000000e+00 1.822500000000e+06 7.000000000000e+03 1.018700000000e-04 1.161318000000e-04 3.565450000000e-06 3.500000000000e+00 2.017227722772e-06 1.980198019802e+00 1.731790000000e-07 1.700000000000e-01 1.018700000000e-06 1.000000000000e+00 1.721603000000e-06 1.690000000000e+00 0.000000000000e+00 0.000000000000e+00 1.689322836968e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.002100010613e-05 9.837047321224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.974795872236e-06 2.920188350090e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.144115464871e-06 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.222265969213e-06 5.126402247191e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.266671056710e-06 9.096565285865e+00 0.000000000000e+00 0.000000000000e+00 1.230899893330e-06 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.127840341590e-05 3.070423423569e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.324310000000e-06 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.945860000000e-06 7.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.018700000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 49 JET 1.650000000000e+00 6.250000000000e+02 7.000000000000e+03 5.093500000000e+06 2.037400000000e+04 1.782725000000e+05 3.500000000000e+00 8.322712418301e+05 1.633986928105e+01 6.010330000000e+04 1.180000000000e+00 5.093500000000e+04 1.000000000000e+00 1.528050000000e+04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.602850000000e+05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.635644691483e+05 9.101098834756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.621550000000e+05 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.360288662178e+05 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.756250000000e+03 7.000000000000e+03 1.408463478261e+05 2.436641817391e+03 4.929622173913e+03 3.500000000000e+00 7.348505103970e+03 5.217391304348e+00 7.605702782609e+02 5.400000000000e-01 1.408463478261e+03 1.000000000000e+00 1.831002521739e+02 1.300000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.833603099136e+03 2.011839953873e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.205285986542e+04 8.557452892070e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.957348697939e+03 7.069653456853e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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7.000000000000e+03 4.074800000000e+01 2.893108000000e-01 1.426180000000e+00 3.500000000000e+00 7.912233009709e-01 1.941747572816e+00 2.322636000000e-01 5.700000000000e-01 4.074800000000e-01 1.000000000000e+00 2.037400000000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.339580816505e+00 3.287476235656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.309019590429e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.222440000000e-01 3.000000000000e-01 8.149600000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.482280000000e-01 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e-02 1.000000000000e-01 4.074800000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 57 JET 1.650000000000e+00 8.122500000000e+04 7.000000000000e+03 1.138547058824e+01 1.457340235294e-01 3.984914705882e-01 3.500000000000e+00 1.116222606690e-01 9.803921568627e-01 4.781897647059e-02 4.200000000000e-01 1.138547058824e-01 1.000000000000e+00 6.831282352941e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.186328678071e-01 4.555216789572e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.078291011534e-01 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.972021352690e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.301786470588e-01 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.786303989777e-01 5.960494945892e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.282779754756e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.664200100421e-02 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.426786671943e-01 7.401351227985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.443251921793e-01 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.972021352690e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.053925037203e+00 9.256754290787e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.415641176471e-02 3.000000000000e-01 1.138547058824e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.108376470588e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.138547058824e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 58 JET 1.650000000000e+00 1.260250000000e+05 7.000000000000e+03 2.846367647059e+00 2.590194558824e-02 9.962286764706e-02 3.500000000000e+00 2.790556516724e-02 9.803921568627e-01 1.138547058824e-02 4.000000000000e-01 2.846367647059e-02 1.000000000000e+00 1.707820588235e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.246159780418e-01 4.378070351194e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.588288437270e-02 3.368605052540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.788859342264e-02 9.797958971133e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.788980711583e-02 3.439113257804e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.809403473219e-01 6.356886030125e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.099686871852e-02 1.791647286717e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016356541640e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.120114032871e-01 7.448489779814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.343232227056e-01 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.335064767002e-02 4.690415759823e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.945268521396e-01 1.034746345729e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.692735294118e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.838825000000e-02 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.846367647059e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 59 JET 1.650000000000e+00 2.025000000000e+05 7.000000000000e+03 4.594137254902e-01 8.591036666667e-03 1.607948039216e-02 3.500000000000e+00 4.504056132257e-03 9.803921568627e-01 2.159244509804e-03 4.700000000000e-01 4.594137254902e-03 1.000000000000e+00 3.215896078431e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.530114474791e-02 5.507267925206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.723107719186e-02 3.750666607418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.991588430417e-03 2.174856317093e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.222420416990e-02 2.660826939130e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.284968767497e-02 7.150349641801e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.038931948944e-03 1.532155344604e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.640435119839e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631693831855e-02 7.905061669589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.549953111193e-02 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.293235676092e-02 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.378241176471e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.972378431373e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.594137254902e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 60 JET 1.650000000000e+00 3.025000000000e+05 7.000000000000e+03 8.613562376238e-02 3.600469073267e-03 3.014746831683e-03 3.500000000000e+00 8.528279580433e-04 9.900990099010e-01 3.789967445545e-04 4.400000000000e-01 8.613562376238e-04 1.000000000000e+00 4.995866178218e-04 5.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.379108314771e-03 3.923009049187e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.594672609704e-03 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.790295320377e-03 2.078460969083e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.586938306996e-03 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.244615334642e-03 8.410707461326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.250450759629e-03 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.923664395426e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.623246020058e-03 8.850282481367e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.644841438268e-03 6.553434214212e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.346818347339e-04 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.164424932398e-02 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.168137425743e-04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.636576851485e-03 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.722712475248e-04 2.000000000000e-01 8.613562376238e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 61 JET 1.650000000000e+00 4.900000000000e+05 7.000000000000e+03 1.159905940594e-02 9.522827772277e-04 4.059670792079e-04 3.500000000000e+00 1.148421723360e-04 9.900990099010e-01 4.059670792079e-05 3.500000000000e-01 1.159905940594e-04 1.000000000000e+00 7.191416831683e-05 6.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.350420479132e-04 3.750666607418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.452200384738e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.476509618575e-05 8.170067319184e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.308708418015e-04 4.576843890718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210310577525e-03 1.043455796860e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.452200384738e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.837544679059e-05 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.336410987528e-03 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.099817772982e-03 9.481956549152e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.113449205967e-04 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.159886886015e-03 1.862122444954e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.959435643564e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.131746039604e-04 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.319811881188e-05 2.000000000000e-01 1.159905940594e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 62 JET 1.650000000000e+00 8.100000000000e+05 7.000000000000e+03 6.909004950495e-04 2.425060737624e-04 2.418151732673e-05 3.500000000000e+00 6.840598960886e-06 9.900990099010e-01 2.832692029703e-06 4.100000000000e-01 6.909004950495e-06 1.000000000000e+00 4.698123366337e-06 6.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.678323666805e-05 8.218728612139e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.728632486335e-05 2.501999200639e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.968921176336e-06 5.744562646538e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.640199911419e-05 5.268775948928e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.348182444862e-05 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.461768379538e-06 1.224744871392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.017954694061e-06 7.262919523167e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.441604604920e-05 1.366565036872e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.662457162643e-05 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.842270281036e-05 5.561249859519e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.683870646669e-04 2.437211521391e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.599905445545e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.556331831683e-05 3.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.072701485149e-06 3.000000000000e-01 6.909004950495e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 63 JET 1.650000000000e+00 1.210000000000e+06 7.000000000000e+03 6.808143564356e-05 7.080469306931e-05 2.382850247525e-06 3.500000000000e+00 6.740736202333e-07 9.900990099010e-01 1.429710148515e-07 2.100000000000e-01 6.808143564356e-07 1.000000000000e+00 5.242270544554e-07 7.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.808143564356e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.642302736136e-06 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.855453331626e-06 2.725344014982e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.633954455446e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.222146954778e-06 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.021221534653e-05 1.500000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.359058519372e-07 1.227802915781e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.387008658276e-07 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.093549781609e-05 1.606237840421e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.531400990099e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.850586633663e-06 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299449858944e-05 3.377499074759e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.293547277228e-06 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.106107673267e-06 7.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.404071782178e-07 5.000000000000e-01 6.808143564356e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 64 JET 2.450000000000e+00 6.250000000000e+02 7.000000000000e+03 4.117245833333e+06 2.223312750000e+04 1.441036041667e+05 3.500000000000e+00 5.432477141204e+05 1.319444444444e+01 5.846489083333e+04 1.420000000000e+00 4.117245833333e+04 1.000000000000e+00 8.234491666667e+02 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.974887068876e+05 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.956414035081e+05 9.609370426828e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.793478423120e+05 1.407124727947e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286739982036e+05 5.554052574472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.997076447057e+05 4.850515436528e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.665800003855e+05 2.104756517985e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.856864742904e+04 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.832405687180e+05 4.450561762295e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.935981353226e+05 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.214936389868e+05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.646898333333e+04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.999317916667e+05 1.700000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.058622916667e+04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.234491666667e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 65 JET 2.450000000000e+00 1.406250000000e+03 7.000000000000e+03 5.800696694215e+05 5.916710628099e+03 2.030243842975e+04 3.500000000000e+00 3.835171368076e+04 6.611570247934e+00 5.742689727273e+03 9.900000000000e-01 5.800696694215e+03 1.000000000000e+00 1.160139338843e+02 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.915470128222e+04 8.473930610997e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.743275626344e+04 9.901010049485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.078496343175e+04 1.047890738579e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.191437679676e+04 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.715624080341e+04 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.206698286455e+05 2.080264406271e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.537731762131e+04 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.030243842975e+04 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.843524949394e+04 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.030243842975e+04 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.619367228683e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900348347107e+03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.466536454545e+04 7.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.160139338843e+03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.800696694215e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 66 JET 2.450000000000e+00 2.756250000000e+03 7.000000000000e+03 1.082368750000e+05 2.511095500000e+03 3.788290625000e+03 3.500000000000e+00 5.798404017857e+03 5.357142857143e+00 6.385975625000e+02 5.900000000000e-01 1.082368750000e+03 1.000000000000e+00 2.164737500000e+01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.599375651009e+03 2.401561991705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.477373066867e+03 8.756140702387e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.866371330021e+03 7.267736924243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.138556905792e+03 3.823610858861e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.001650723663e+03 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.372305284328e+04 1.267872233311e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.601215040582e+03 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.145029857802e+03 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.107817284462e+03 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.061401131478e+02 2.828427124746e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.749435335050e+02 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.130928179246e+03 2.892663132824e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.651251151034e+02 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.164737500000e+02 2.000000000000e-01 3.247106250000e+02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.597685000000e+03 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.164737500000e+02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.082368750000e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 67 JET 2.450000000000e+00 4.900000000000e+03 7.000000000000e+03 2.282642592593e+04 1.985899055556e+02 7.989249074074e+02 3.500000000000e+00 8.454231824417e+02 3.703703703704e+00 1.255453425926e+02 5.500000000000e-01 2.282642592593e+02 1.000000000000e+00 4.565285185185e+00 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.946948283087e+02 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.473675189199e+03 6.456004956628e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.447493420507e+02 4.138840417315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.890398610883e+02 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.543916282906e+02 3.742993454443e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.776506101701e+03 7.782673062644e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.193041085020e+02 3.151190251318e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.221346188465e+02 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112832159996e+03 4.875192303899e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.135600351517e+02 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.372191767535e+02 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.221346188465e+02 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.565285185185e+01 2.000000000000e-01 6.847927777778e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.423963888889e+02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.282642592593e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 68 JET 2.450000000000e+00 9.025000000000e+03 7.000000000000e+03 4.579299047619e+03 2.655993447619e+01 1.602754666667e+02 3.500000000000e+00 1.308371156463e+02 2.857142857143e+00 3.663439238095e+01 8.000000000000e-01 4.579299047619e+01 1.000000000000e+00 9.158598095238e-01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635136820073e+01 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.796373625843e+02 6.106553856309e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.558307946806e+02 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.994105267124e+01 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.144824761905e+02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.634888242703e+02 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.442842590659e+02 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.988210534247e+01 1.307669683062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.451850107542e+02 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.533188091922e+01 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.189736792029e+01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.924395600428e+02 4.202380277890e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.579299047619e+00 1.000000000000e-01 9.158598095238e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.053238780952e+02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.579299047619e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 69 JET 2.450000000000e+00 1.822500000000e+04 7.000000000000e+03 6.329786407767e+02 3.671276116505e+00 2.215425242718e+01 3.500000000000e+00 1.843627109058e+01 2.912621359223e+00 4.367552621359e+00 6.900000000000e-01 6.329786407767e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.862207239244e+01 6.101639124039e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.970384325276e+01 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.685500935437e+00 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.731354057023e+00 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.323439268810e+01 5.250476168882e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.804544285213e+01 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.545340873689e+00 8.760707733968e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.735646671680e+01 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.202659417476e+01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.705358781996e+01 5.853844890326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.265957281553e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.228722330097e+00 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.329786407767e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 70 JET 2.450000000000e+00 3.422500000000e+04 7.000000000000e+03 7.300683333333e+01 5.183485166667e-01 2.555239166667e+00 3.500000000000e+00 1.431506535948e+00 1.960784313725e+00 5.767539833333e-01 7.900000000000e-01 7.300683333333e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.146077836563e+00 4.309292285283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.272612546002e+00 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.690319508487e-01 7.794228634060e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.314123000000e+00 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.857423944605e+00 6.653382598348e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971184500000e+00 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.887450881779e-01 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.330498833123e+00 7.301369734509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.227306752944e+00 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.803880637118e-01 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.073624467661e+00 8.319254774317e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.920273333333e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.606150333333e+00 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.300683333333e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 71 JET 2.450000000000e+00 5.522500000000e+04 7.000000000000e+03 1.208457843137e+01 1.510572303922e-01 4.229602450980e-01 3.500000000000e+00 2.369525182622e-01 1.960784313725e+00 8.942588039216e-02 7.400000000000e-01 1.208457843137e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.312749580642e-01 4.396305266926e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.881930381827e-01 4.039801975345e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.633654440331e-01 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.927023171212e-01 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.185869546331e-01 7.601315675592e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900298823529e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.027189166667e+00 8.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.170660532350e-01 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.329303627451e+00 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.042289215686e-02 5.000000000000e-01 1.208457843137e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.933532549020e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.208457843137e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 72 JET 2.450000000000e+00 8.122500000000e+04 7.000000000000e+03 2.257119607843e+00 4.062815294118e-02 7.899918627451e-02 3.500000000000e+00 4.425724721261e-02 1.960784313725e+00 1.602554921569e-02 7.100000000000e-01 2.257119607843e-02 1.000000000000e+00 4.965663137255e-03 2.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.493925045954e-01 6.618723441873e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.600058001760e-02 4.253234063627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.174145915089e-02 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.959500306362e-02 4.412482294582e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.015893404930e-01 8.931265307895e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.974280446967e-02 3.089902911096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.593232997597e-02 1.148912529308e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.212898297223e-01 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.290117127050e-01 5.715767664977e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.563778335818e-02 6.928203230276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.951566882222e-01 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.128559803922e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.837103333333e-02 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.257119607843e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 73 JET 2.450000000000e+00 1.260250000000e+05 7.000000000000e+03 3.267908910891e-01 9.444256752475e-03 1.143768118812e-02 3.500000000000e+00 6.471106754240e-03 1.980198019802e+00 2.745043485149e-03 8.400000000000e-01 3.267908910891e-03 1.000000000000e+00 4.248281584158e-04 1.300000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.206927548991e-02 6.753332510694e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.619099642650e-02 4.954543369474e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.834384399532e-03 1.785357107136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.585525283363e-02 4.851803788283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.395599533596e-02 1.039074107078e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.286581938214e-03 2.535744466621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.014474345072e-03 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.821497766415e-02 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.404690278018e-02 7.358498488143e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.373455942884e-03 7.262919523167e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.112476124207e-02 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.803726732673e-04 3.000000000000e-01 6.535817821782e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.882236039604e-03 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.267908910891e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 74 JET 2.450000000000e+00 2.025000000000e+05 7.000000000000e+03 2.108002970297e-02 2.466363475248e-03 7.378010396040e-04 3.500000000000e+00 4.174263307519e-04 1.980198019802e+00 1.222641722772e-04 5.800000000000e-01 2.108002970297e-04 1.000000000000e+00 2.951204158416e-05 1.400000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.190371304079e-03 1.039074107078e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.277517629978e-03 6.060321773635e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.513524514520e-04 3.089902911096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.032867678460e-03 4.899744891318e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.060236636563e-03 1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.929077133532e-04 2.338268590218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210955512196e-04 5.744562646538e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.176026716939e-03 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.428781707769e-03 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.554213452407e-03 2.160439770047e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.318803267327e-04 1.100000000000e+00 6.324008910891e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.324008910891e-04 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.054001485149e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.108002970297e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 75 JET 2.450000000000e+00 3.025000000000e+05 7.000000000000e+03 5.880218811881e-04 3.757459820792e-04 2.058076584158e-05 3.500000000000e+00 1.164399764729e-05 1.980198019802e+00 4.704175049505e-07 8.000000000000e-02 5.880218811881e-06 1.000000000000e+00 9.408350099010e-07 1.600000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.162366220579e-05 1.976739740077e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.278355639352e-06 1.067707825203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.678567145824e-05 4.555216789572e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.723782156811e-06 9.733961166966e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.253730890253e-05 1.063520098541e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.018253858570e-06 1.023474474523e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.486390450917e-05 1.103086578651e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.432842644683e-05 7.538567503180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344437160295e-04 2.286372673035e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.292196930693e-06 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.056262574257e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.704175049505e-06 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.880218811881e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 76 JET 3.200000000000e+00 6.250000000000e+02 7.000000000000e+03 3.009795454545e+06 1.835975227273e+04 1.053428409091e+05 3.500000000000e+00 3.420222107438e+05 1.136363636364e+01 1.315280613636e+05 4.370000000000e+00 3.009795454545e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.935818268128e+05 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.140588514407e+05 1.043455796860e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.534714092368e+05 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.473898073687e+05 8.219489035214e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.521287111483e+05 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 9.597189551406e+05 3.188651752701e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.775383164574e+04 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.417163076698e+05 4.708502946797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.507303640443e+05 5.007993610220e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.502329901134e+04 3.157134776977e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.203918181818e+04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.815672727273e+05 1.600000000000e+01 0.000000000000e+00 0.000000000000e+00 3.009795454545e+03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.019590909091e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 77 JET 3.200000000000e+00 1.406250000000e+03 7.000000000000e+03 3.773619130435e+05 5.358539165217e+03 1.320766695652e+04 3.500000000000e+00 2.953267145558e+04 7.826086956522e+00 1.128312120000e+04 2.990000000000e+00 3.773619130435e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.185971675373e+04 8.442748367682e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.971274730588e+04 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.954340537708e+04 1.047890738579e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.304234006331e+04 8.756140702387e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.116092116429e+04 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 1.224392582563e+05 3.244610916582e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.056613356522e+04 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.339900512777e+04 3.550704155516e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.981329731479e+04 5.250476168882e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.377629425426e+04 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.773619130435e+02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.018895304348e+03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660410556522e+04 9.700000000000e+00 0.000000000000e+00 0.000000000000e+00 3.773619130435e+02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.773619130435e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 78 JET 3.200000000000e+00 2.756250000000e+03 7.000000000000e+03 6.000049541284e+04 1.920015853211e+03 2.100017339450e+03 3.500000000000e+00 3.302779564010e+03 5.504587155963e+00 1.098009066055e+03 1.830000000000e+00 6.000049541284e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.355997921819e+03 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.465975976327e+03 9.109884741313e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.539762145219e+03 7.566207768757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.479891897992e+03 7.466424847275e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.322735382681e+03 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 1.307336308601e+04 2.178875856950e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.193713625226e+03 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.350677654431e+03 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.104264668519e+03 5.173731728646e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.307680480335e+02 2.179449471770e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.558858598015e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.894296507038e+03 3.157134776977e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.545605430858e+02 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 1.200009908257e+02 2.000000000000e-01 2.400019816514e+02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.800064403670e+02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.000049541284e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 79 JET 3.200000000000e+00 4.900000000000e+03 7.000000000000e+03 1.203036190476e+04 1.636129219048e+02 4.210626666667e+02 3.500000000000e+00 5.728743764172e+02 4.761904761905e+00 4.174535580952e+02 3.470000000000e+00 1.203036190476e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.386104447851e+02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.515890329725e+02 7.078665128398e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.064196526553e+02 4.209513035970e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.756309512173e+02 5.616048432840e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.704163793476e+02 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 1.836355046318e+03 1.526433752247e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.172212069062e+02 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.107889691630e+02 1.752141546794e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.343948740502e+02 5.273281710662e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.251159415747e+01 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.096018130664e+02 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.740045326660e+02 2.277608394786e+00 0.000000000000e+00 0.000000000000e+00 3.609108571429e+01 3.000000000000e-01 6.015180952381e+01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.766983238095e+02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.203036190476e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 80 JET 3.200000000000e+00 9.025000000000e+03 7.000000000000e+03 1.760471844660e+03 4.137108834951e+01 6.161651456311e+01 3.500000000000e+00 6.836783862758e+01 3.883495145631e+00 7.253144000000e+01 4.120000000000e+00 1.760471844660e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.802359223301e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.188383696018e+02 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.694424227300e+01 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.073887825243e+02 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.954406930952e+01 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 1.936519029126e+02 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.518502120747e+01 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.798818048800e+01 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082761745997e+02 6.150406490631e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.143070919776e+01 1.785357107136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.041887378641e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.067284557710e+01 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 5.281415533981e+00 3.000000000000e-01 3.520943689320e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.985604271845e+01 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.760471844660e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 81 JET 3.200000000000e+00 1.822500000000e+04 7.000000000000e+03 1.508075490196e+02 2.050982666667e+00 5.278264215686e+00 3.500000000000e+00 4.435516147636e+00 2.941176470588e+00 3.951157784314e+00 2.620000000000e+00 1.508075490196e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.214047603347e+01 8.050310553016e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.197804977971e+00 4.109744517607e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.455331916828e+01 9.650259063880e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.225166319944e+00 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 1.888108104658e+01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.433259248371e+00 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.763545825333e+00 1.169401556353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.229127783624e+01 8.150306742694e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.858876106050e+00 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.016150980392e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.260371327853e+01 8.357481678113e+00 0.000000000000e+00 0.000000000000e+00 3.016150980392e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.619381176471e+00 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.508075490196e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.508075490196e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 82 JET 3.200000000000e+00 3.422500000000e+04 7.000000000000e+03 7.292278217822e+00 2.304359916832e-01 2.552297376238e-01 3.500000000000e+00 2.166023233016e-01 2.970297029703e+00 1.866823223762e-01 2.560000000000e+00 7.292278217822e-02 1.000000000000e+00 1.239687297030e-02 1.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.828347314778e-01 6.621178142899e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.509965239585e-01 4.813262926540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.211719935525e-01 8.518215775619e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.224742503862e-01 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 1.400800902079e+00 1.920937271230e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.242399802851e-01 4.446346815083e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.202673333739e-01 1.649242250247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.527601497277e-01 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.809473856888e-01 5.223983154644e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.669336340264e-02 6.403124237433e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.041545659472e+00 1.428285685709e+01 0.000000000000e+00 0.000000000000e+00 4.375366930693e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.427370762376e-01 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 7.292278217822e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.292278217822e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 83 JET 3.200000000000e+00 5.522500000000e+04 7.000000000000e+03 3.782301980198e-01 2.602223762376e-02 1.323805693069e-02 3.500000000000e+00 1.123456033722e-02 2.970297029703e+00 1.270853465347e-02 3.360000000000e+00 3.782301980198e-03 1.000000000000e+00 7.186373762376e-04 1.900000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.030093686226e-02 8.011242100948e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.677364913230e-02 7.078665128398e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.701103888672e-02 7.141428428543e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.065687527570e-02 5.461455849863e+00 0.000000000000e+00 0.000000000000e+00 8.846059644479e-02 2.338803112705e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.424653132598e-02 3.766629793330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.763342953641e-03 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.917217736350e-02 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.071068502462e-02 8.119575112036e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.419002447537e-02 1.961504524593e+01 0.000000000000e+00 0.000000000000e+00 3.782301980198e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.307204207921e-02 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 1.512920792079e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.782301980198e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 84 JET 3.200000000000e+00 8.122500000000e+04 7.000000000000e+03 1.099389108911e-02 3.935813009901e-03 3.847861881188e-04 3.500000000000e+00 3.265512204686e-04 2.970297029703e+00 3.880843554455e-04 3.530000000000e+00 1.099389108911e-04 1.000000000000e+00 2.308717128713e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.298524680195e-03 1.181132930707e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.168653433046e-04 7.430174964293e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.002721822537e-03 9.120718173477e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.095576387155e-04 8.273300429696e+00 0.000000000000e+00 0.000000000000e+00 4.033424762677e-03 3.668787265569e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.233361898146e-04 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.250393381078e-04 2.046948949046e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.503977863592e-03 2.277608394786e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.170113663030e-03 1.064330775652e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.545269803491e-04 2.315167380558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.292206916600e-03 2.994578434438e+01 0.000000000000e+00 0.000000000000e+00 3.298167326733e-05 3.000000000000e-01 7.695723762376e-05 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.088839306931e-03 1.900000000000e+01 0.000000000000e+00 0.000000000000e+00 1.429205841584e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.099389108911e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 85 JET 4.000000000000e+00 6.250000000000e+02 7.000000000000e+03 1.292636134454e+06 1.047035268908e+04 4.524226470588e+04 3.500000000000e+00 1.520748393475e+05 1.176470588235e+01 6.476107033613e+04 5.010000000000e+00 1.292636134454e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.747450912562e+05 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.421899747899e+05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.076281073055e+05 1.606237840421e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072829596017e+04 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.982628486356e+04 5.401851534428e+00 6.794644428189e+05 5.256424640381e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.168277271309e+04 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.528452366508e+04 5.050495025243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.916207328527e+04 5.350467269314e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.269614526067e+04 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.877908403361e+03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.680426974790e+05 1.300000000000e+01 1.551163361345e+04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.585272268908e+04 2.000000000000e+00 + 86 JET 4.000000000000e+00 1.406250000000e+03 7.000000000000e+03 1.313837383178e+05 1.129900149533e+03 4.598430841121e+03 3.500000000000e+00 1.227885404839e+04 9.345794392523e+00 1.211358067290e+04 9.220000000000e+00 1.313837383178e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245774897994e+04 9.481956549152e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.587515750276e+04 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.587515750276e+04 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.756640500000e-06 1.030000000000e-01 3.960574824760e-05 1.479841883446e+00 2.301661000000e-06 8.600000000000e-02 3.950292600000e-05 1.476000000000e+00 4.090310456521e-05 1.528316721102e+00 4.817430000000e-07 1.800000000000e-02 5.352700000000e-08 2.000000000000e-03 2.074948109356e-06 7.752902682222e-02 2.408715000000e-07 9.000000000000e-03 7.423145125421e-06 2.773607758858e-01 7.103213909308e-06 2.654067632899e-01 3.051273758512e-06 1.140087715924e-01 3.605075240209e-05 1.347011878196e+00 1.911296197473e-07 7.141428428543e-03 3.559545500000e-06 1.330000000000e-01 7.226145000000e-07 2.700000000000e-02 5.184820816988e-05 1.937273083486e+00 + 5 HQP_PTQQ 1.550000000000e+02 3.003289000000e+04 8.000000000000e+03 1.029768947500e-03 8.182641200000e-06 2.586320222110e-07 2.515949125082e-02 3.855572752427e-07 3.750666607418e-02 8.840542000000e-07 8.600000000000e-02 1.236144396999e-05 1.202510187067e+00 3.058530354224e-06 2.975310908124e-01 4.523068000000e-07 4.400000000000e-02 2.940137968513e-06 2.860139856720e-01 4.095141417910e-07 3.983716857408e-02 3.560992537313e-07 3.464101615138e-02 1.277209909435e-05 1.242458349403e+00 6.593399580000e-05 6.414000000000e+00 6.231736940298e-08 6.062177826491e-03 1.691471455224e-07 1.645448267190e-02 4.682626203176e-08 4.555216789572e-03 3.044527140626e-06 2.961688707478e-01 1.027970000000e-07 1.000000000000e-02 3.078336793249e-07 2.994578434438e-02 0.000000000000e+00 0.000000000000e+00 2.292373100000e-06 2.230000000000e-01 3.186707000000e-07 3.100000000000e-02 5.345444000000e-07 5.200000000000e-02 5.139850000000e-07 5.000000000000e-02 3.395414631679e-07 3.303028912983e-02 6.579008000000e-07 6.400000000000e-02 1.157322574627e-07 1.125833024920e-02 0.000000000000e+00 0.000000000000e+00 3.040411178489e-05 2.957684736411e+00 1.249512229261e-06 1.215514294445e-01 6.786159351564e-07 6.601514977640e-02 2.937818843283e-07 2.857883832489e-02 9.251730000000e-08 9.000000000000e-03 7.614441013100e-07 7.407259952236e-02 8.902481343283e-09 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1.185085245858e-07 4.065402809071e-02 2.434154025381e-07 8.350299395830e-02 3.177404500000e-07 1.090000000000e-01 3.281272720693e-06 1.125631711529e+00 6.951401106476e-07 2.384659304806e-01 5.538595000000e-08 1.900000000000e-02 4.905952072909e-07 1.682973558913e-01 2.623868874453e-07 9.001111042532e-02 2.373036912104e-07 8.140638795574e-02 2.428883963780e-06 8.332220592375e-01 2.621504465000e-05 8.993000000000e+00 7.168593380076e-08 2.459166525472e-02 1.146915670216e-07 3.934463114581e-02 5.023706202837e-08 1.723368793961e-02 9.650928899969e-07 3.310724996130e-01 5.538595000000e-08 1.900000000000e-02 3.079898971028e-07 1.056550992617e-01 0.000000000000e+00 0.000000000000e+00 3.877016500000e-07 1.330000000000e-01 3.323157000000e-07 1.140000000000e-01 5.101337500000e-07 1.750000000000e-01 4.955585000000e-08 1.700000000000e-02 1.720373505324e-07 5.901694671872e-02 2.302889500000e-07 7.900000000000e-02 2.368197815143e-08 8.124038404636e-03 0.000000000000e+00 0.000000000000e+00 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5.943271539951e-07 2.038823189980e-01 1.142699600000e-06 3.920000000000e-01 5.911229788287e-07 2.027831353935e-01 5.500292857751e-06 1.886860553936e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT_SF.dat new file mode 100644 index 0000000000..cf74fe3591 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT_SF.dat @@ -0,0 +1,7 @@ +ATLASTOPDIFF8TEVTTPT 57 6 + 1 HQP_PTQQ 1.000000000000e+01 3.003289000000e+04 8.000000000000e+03 4.063886116000e+00 2.487610240000e-02 1.178462451121e-02 2.861345837189e-01 1.939841760000e-02 4.710000000000e-01 9.678616000000e-03 2.350000000000e-01 1.408655898988e-02 3.420263147771e-01 3.336542025454e-03 8.101234473832e-02 2.471136000000e-04 6.000000000000e-03 1.827545739962e-03 4.437341546467e-02 1.242432077046e-02 3.016666206261e-01 1.462378810674e-03 3.550704155516e-02 9.003541428621e-02 2.186089659643e+00 1.301464960000e-01 3.160000000000e+00 1.764744088120e-03 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2.143786271022e-03 6.913031173082e-02 8.062808000000e-04 2.600000000000e-02 1.917347884262e-03 6.182839153657e-02 1.101101764259e-02 3.550704155516e-01 1.181670186034e-03 3.810511776652e-02 1.106642459898e-02 3.568571142628e-01 6.388224800000e-03 2.060000000000e-01 2.112834784038e-03 6.813222438758e-02 3.632733558083e-03 1.171441419790e-01 9.303240000000e-05 3.000000000000e-03 1.497828060442e-02 4.830020703889e-01 7.504613600000e-03 2.420000000000e-01 1.074245623667e-04 3.464101615138e-03 0.000000000000e+00 0.000000000000e+00 1.352070880000e-02 4.360000000000e-01 1.184612560000e-02 3.820000000000e-01 6.791365200000e-03 2.190000000000e-01 9.923456000000e-04 3.200000000000e-02 2.874701160000e-02 9.270000000000e-01 3.287144800000e-03 1.060000000000e-01 9.790527514189e-04 3.157134776977e-02 8.683024000000e-02 2.800000000000e+00 2.327291327658e-02 7.504776812138e-01 4.066200614602e-03 1.311220805204e-01 2.825218336361e-04 9.110433579144e-03 2.075154942809e-02 6.691716894789e-01 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8.683024000000e-02 2.800000000000e+00 + 3 HQP_PTQQ 6.000000000000e+01 3.003289000000e+04 8.000000000000e+03 1.546938972000e+00 7.031188800000e-03 4.148112880397e-03 2.678413709642e-01 5.420520000000e-03 3.500000000000e-01 3.577543200000e-03 2.310000000000e-01 7.350055267898e-03 4.745890327431e-01 9.388616043443e-05 6.062177826491e-03 7.588728000000e-04 4.900000000000e-02 3.647383563878e-03 2.355095539463e-01 5.901415798736e-03 3.810511776652e-01 4.560184935387e-04 2.944486372867e-02 1.637068833393e-02 1.057046356599e+00 1.517745600000e-02 9.800000000000e-01 1.535733742105e-03 9.916148445843e-02 1.756551642406e-03 1.134195750301e-01 8.047385180094e-05 5.196152422707e-03 9.486422011978e-03 6.125330603323e-01 3.778876800000e-03 2.440000000000e-01 2.280092467693e-04 1.472243186434e-02 0.000000000000e+00 0.000000000000e+00 8.727044070982e-03 5.635004436555e-01 5.807700000000e-03 3.750000000000e-01 3.267799200000e-03 2.110000000000e-01 1.161540000000e-03 7.500000000000e-02 1.504581878538e-02 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1.801730407068e-04 2.322859229484e-01 3.808451320000e-04 4.910000000000e-01 2.613947240000e-04 3.370000000000e-01 1.058702968642e-03 1.364920052604e+00 1.857212829894e-04 2.394389274951e-01 1.163478000000e-05 1.500000000000e-02 2.250684295868e-04 2.901667623971e-01 2.115963159963e-04 2.727980021921e-01 9.404280710947e-05 1.212435565298e-01 3.800194154894e-04 4.899354549326e-01 8.760989340000e-03 1.129500000000e+01 3.656892772286e-05 4.714604967545e-02 6.068330660614e-05 7.823522224676e-02 1.266832308147e-05 1.633248297106e-02 6.598314325513e-04 8.506797282174e-01 2.039964760000e-04 2.630000000000e-01 8.127985471604e-05 1.047890738579e-01 0.000000000000e+00 0.000000000000e+00 4.774141210494e-04 6.155004061737e-01 1.946886520000e-04 2.510000000000e-01 3.141390600000e-04 4.050000000000e-01 4.421216400000e-05 5.700000000000e-02 6.779233978854e-04 8.740045766471e-01 1.241043200000e-05 1.600000000000e-02 1.706434400000e-05 2.200000000000e-02 2.171825600000e-03 2.800000000000e+00 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1.480629785094e-04 6.680381725620e-02 + 3 HQP_YQQ -7.500000000000e-01 3.003289000000e+04 8.000000000000e+03 3.194153740800e-01 2.660156075499e-03 1.138400822937e-05 3.570714214271e-03 2.550528000000e-05 8.000000000000e-03 6.567609600000e-04 2.060000000000e-01 2.384255602888e-04 7.478469094674e-02 6.770619061582e-05 2.123676058160e-02 3.825792000000e-05 1.200000000000e-02 1.244914225639e-04 3.904804732634e-02 9.663596429653e-05 3.031088913246e-02 2.153601490037e-04 6.754998149519e-02 9.387493674520e-05 2.944486372867e-02 1.460177280000e-03 4.580000000000e-01 2.484924796196e-05 7.794228634060e-03 5.798157857792e-05 1.818653347947e-02 1.104411020532e-05 3.464101615138e-03 7.077068921845e-05 2.219797288042e-02 4.463424000000e-05 1.400000000000e-02 5.987887328992e-05 1.878163997099e-02 0.000000000000e+00 0.000000000000e+00 3.188160000000e-05 1.000000000000e-02 1.912896000000e-05 6.000000000000e-03 3.443212800000e-04 1.080000000000e-01 6.376320000000e-06 2.000000000000e-03 1.275264000000e-05 4.000000000000e-03 5.419872000000e-05 1.700000000000e-02 2.761027551329e-06 8.660254037844e-04 0.000000000000e+00 0.000000000000e+00 1.024188646663e-04 3.212475680842e-02 7.576493036899e-05 2.376446927663e-02 1.767920243414e-05 5.545268253205e-03 1.932719285931e-05 6.062177826491e-03 1.387032815484e-04 4.350574674684e-02 4.144608000000e-05 1.300000000000e-02 1.104411020532e-05 3.464101615138e-03 0.000000000000e+00 0.000000000000e+00 1.352903500151e-04 4.243524478544e-02 1.006545081057e-04 3.157134776977e-02 4.782240000000e-05 1.500000000000e-02 1.932719285931e-05 6.062177826491e-03 3.188160000000e-06 1.000000000000e-03 1.080786240000e-03 3.390000000000e-01 1.539643634830e-03 4.829254600868e-01 8.926848000000e-05 2.800000000000e-02 1.801310400000e-03 5.650000000000e-01 1.192047865292e-04 3.738983819168e-02 6.057504000000e-05 1.900000000000e-02 1.020211200000e-04 3.200000000000e-02 2.935012546361e-05 9.205976319761e-03 3.188160000000e-06 1.000000000000e-03 9.396963012719e-05 2.947456530638e-02 1.313738573200e-04 4.120679555607e-02 9.564480000000e-06 3.000000000000e-03 8.898336755025e-05 2.791057147391e-02 2.900174367790e-05 9.096702699330e-03 4.622832000000e-04 1.450000000000e-01 4.057865199914e-05 1.272792206136e-02 1.617735970017e-04 5.074199444247e-02 + 4 HQP_YQQ -4.500000000000e-01 3.003289000000e+04 8.000000000000e+03 3.853255160400e-01 2.665012173745e-03 6.004323146765e-05 1.564448784716e-02 1.343293000000e-04 3.500000000000e-02 1.093824300000e-03 2.850000000000e-01 1.043111846163e-03 2.717866810570e-01 6.647576358433e-05 1.732050807569e-02 1.420052600000e-04 3.700000000000e-02 3.195161570203e-04 8.325112611851e-02 2.827304697314e-04 7.366647812947e-02 2.958171479503e-04 7.707626093682e-02 1.384202484913e-04 3.606591188366e-02 7.522440800000e-04 1.960000000000e-01 1.628317010435e-05 4.242640687119e-03 2.704823042151e-04 7.047517293345e-02 6.364569806444e-06 1.658312395178e-03 1.994272907530e-05 5.196152422707e-03 6.908364000000e-05 1.800000000000e-02 5.248358714717e-05 1.367479433118e-02 0.000000000000e+00 0.000000000000e+00 6.140768000000e-05 1.600000000000e-02 2.187648600000e-04 5.700000000000e-02 4.797475000000e-04 1.250000000000e-01 7.675960000000e-06 2.000000000000e-03 9.211152000000e-05 2.400000000000e-02 2.686586000000e-05 7.000000000000e-03 5.331892218263e-05 1.389244398945e-02 0.000000000000e+00 0.000000000000e+00 2.129300788960e-04 5.547972602672e-02 2.991409361295e-05 7.794228634060e-03 1.748283093404e-05 4.555216789572e-03 7.312333994277e-05 1.905255888326e-02 3.032489981338e-04 7.901265721389e-02 1.023201437105e-04 2.665989497354e-02 3.735874827959e-05 9.733961166966e-03 0.000000000000e+00 0.000000000000e+00 1.728369853193e-04 4.503332099679e-02 1.329930680312e-04 3.465183977800e-02 1.535192000000e-05 4.000000000000e-03 2.326651725452e-05 6.062177826491e-03 7.675960000000e-06 2.000000000000e-03 1.727091000000e-03 4.500000000000e-01 3.527758709451e-03 9.191706859991e-01 8.827354000000e-05 2.300000000000e-02 3.914739600000e-04 1.020000000000e-01 2.315863973534e-04 6.034069936618e-02 1.113014200000e-04 2.900000000000e-02 7.675960000000e-06 2.000000000000e-03 2.545827922578e-05 6.633249580711e-03 8.827354000000e-05 2.300000000000e-02 1.329515271687e-05 3.464101615138e-03 1.145622565160e-04 2.984962311320e-02 3.837980000000e-06 1.000000000000e-03 2.034853418318e-04 5.301886456725e-02 4.039006710448e-05 1.052378258992e-02 4.643955800000e-04 1.210000000000e-01 4.320924632982e-05 1.125833024920e-02 2.579739304473e-04 6.721606950722e-02 + 5 HQP_YQQ -1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 4.183085754375e-01 3.077357844523e-03 1.260963695825e-04 3.013303834664e-02 8.369310000000e-05 2.000000000000e-02 1.565060970000e-03 3.740000000000e-01 1.542525080329e-03 3.686146361717e-01 5.137931610537e-05 1.227802915781e-02 1.339089600000e-04 3.200000000000e-02 2.619590687622e-04 6.259992012774e-02 4.510264177887e-04 1.077810280151e-01 3.406576483909e-04 8.140638795574e-02 1.017095010794e-04 2.430534920547e-02 2.385253350000e-03 5.700000000000e-01 1.372030895396e-05 3.278719262151e-03 3.726223219185e-04 8.904493247793e-02 1.906201071457e-05 4.555216789572e-03 8.335240332969e-05 1.991858428704e-02 8.369310000000e-05 2.000000000000e-02 2.174410521644e-05 5.196152422707e-03 0.000000000000e+00 0.000000000000e+00 6.492961185521e-05 1.551612064918e-02 2.761872300000e-04 6.600000000000e-02 6.486215250000e-04 1.550000000000e-01 1.255396500000e-05 3.000000000000e-03 1.234827805856e-04 2.950847335936e-02 2.510793000000e-05 6.000000000000e-03 2.174410521644e-05 5.196152422707e-03 0.000000000000e+00 0.000000000000e+00 4.540447094598e-04 1.085023041230e-01 4.784984194410e-05 1.143459662603e-02 1.087205260822e-05 2.598076211353e-03 1.220026100076e-04 2.915475947423e-02 3.788153015974e-04 9.052485846440e-02 3.624017536074e-05 8.660254037844e-03 4.163679153625e-05 9.949874371066e-03 0.000000000000e+00 0.000000000000e+00 7.248035072147e-05 1.732050807569e-02 8.398030224791e-05 2.006863224039e-02 2.929258500000e-04 7.000000000000e-02 8.335240332969e-05 1.991858428704e-02 4.184655000000e-05 1.000000000000e-02 2.117435430000e-03 5.060000000000e-01 4.146891232102e-03 9.909756556041e-01 2.510793000000e-05 6.000000000000e-03 2.071404225000e-03 4.950000000000e-01 2.525656836652e-04 6.035519861619e-02 1.339089600000e-04 3.200000000000e-02 5.440051500000e-05 1.300000000000e-02 1.372030895396e-05 3.278719262151e-03 1.234827805856e-04 2.950847335936e-02 5.073624550503e-05 1.212435565298e-02 7.400453224930e-05 1.768473918383e-02 2.320503452211e-05 5.545268253205e-03 1.605920989884e-04 3.837642505497e-02 1.449607014429e-05 3.464101615138e-03 5.440051500000e-04 1.300000000000e-01 5.472146477575e-05 1.307669683062e-02 2.093164263681e-04 5.001999600160e-02 + 6 HQP_YQQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 4.183085754375e-01 3.077357844523e-03 1.260963695825e-04 3.013303834664e-02 8.369310000000e-05 2.000000000000e-02 1.565060970000e-03 3.740000000000e-01 1.542525080329e-03 3.686146361717e-01 5.137931610537e-05 1.227802915781e-02 1.339089600000e-04 3.200000000000e-02 2.619590687622e-04 6.259992012774e-02 4.510264177887e-04 1.077810280151e-01 3.406576483909e-04 8.140638795574e-02 1.017095010794e-04 2.430534920547e-02 2.385253350000e-03 5.700000000000e-01 1.372030895396e-05 3.278719262151e-03 3.726223219185e-04 8.904493247793e-02 1.906201071457e-05 4.555216789572e-03 8.335240332969e-05 1.991858428704e-02 8.369310000000e-05 2.000000000000e-02 2.174410521644e-05 5.196152422707e-03 0.000000000000e+00 0.000000000000e+00 6.492961185521e-05 1.551612064918e-02 2.761872300000e-04 6.600000000000e-02 6.486215250000e-04 1.550000000000e-01 1.255396500000e-05 3.000000000000e-03 1.234827805856e-04 2.950847335936e-02 2.510793000000e-05 6.000000000000e-03 2.174410521644e-05 5.196152422707e-03 0.000000000000e+00 0.000000000000e+00 4.540447094598e-04 1.085023041230e-01 4.784984194410e-05 1.143459662603e-02 1.087205260822e-05 2.598076211353e-03 1.220026100076e-04 2.915475947423e-02 3.788153015974e-04 9.052485846440e-02 3.624017536074e-05 8.660254037844e-03 4.163679153625e-05 9.949874371066e-03 0.000000000000e+00 0.000000000000e+00 7.248035072147e-05 1.732050807569e-02 8.398030224791e-05 2.006863224039e-02 2.929258500000e-04 7.000000000000e-02 8.335240332969e-05 1.991858428704e-02 4.184655000000e-05 1.000000000000e-02 2.117435430000e-03 5.060000000000e-01 4.146891232102e-03 9.909756556041e-01 2.510793000000e-05 6.000000000000e-03 2.071404225000e-03 4.950000000000e-01 2.525656836652e-04 6.035519861619e-02 1.339089600000e-04 3.200000000000e-02 5.440051500000e-05 1.300000000000e-02 1.372030895396e-05 3.278719262151e-03 1.234827805856e-04 2.950847335936e-02 5.073624550503e-05 1.212435565298e-02 7.400453224930e-05 1.768473918383e-02 2.320503452211e-05 5.545268253205e-03 1.605920989884e-04 3.837642505497e-02 1.449607014429e-05 3.464101615138e-03 5.440051500000e-04 1.300000000000e-01 5.472146477575e-05 1.307669683062e-02 2.093164263681e-04 5.001999600160e-02 + 7 HQP_YQQ 4.500000000000e-01 3.003289000000e+04 8.000000000000e+03 3.853255160400e-01 2.665012173745e-03 6.004323146765e-05 1.564448784716e-02 1.343293000000e-04 3.500000000000e-02 1.093824300000e-03 2.850000000000e-01 1.043111846163e-03 2.717866810570e-01 6.647576358433e-05 1.732050807569e-02 1.420052600000e-04 3.700000000000e-02 3.195161570203e-04 8.325112611851e-02 2.827304697314e-04 7.366647812947e-02 2.958171479503e-04 7.707626093682e-02 1.384202484913e-04 3.606591188366e-02 7.522440800000e-04 1.960000000000e-01 1.628317010435e-05 4.242640687119e-03 2.704823042151e-04 7.047517293345e-02 6.364569806444e-06 1.658312395178e-03 1.994272907530e-05 5.196152422707e-03 6.908364000000e-05 1.800000000000e-02 5.248358714717e-05 1.367479433118e-02 0.000000000000e+00 0.000000000000e+00 6.140768000000e-05 1.600000000000e-02 2.187648600000e-04 5.700000000000e-02 4.797475000000e-04 1.250000000000e-01 7.675960000000e-06 2.000000000000e-03 9.211152000000e-05 2.400000000000e-02 2.686586000000e-05 7.000000000000e-03 5.331892218263e-05 1.389244398945e-02 0.000000000000e+00 0.000000000000e+00 2.129300788960e-04 5.547972602672e-02 2.991409361295e-05 7.794228634060e-03 1.748283093404e-05 4.555216789572e-03 7.312333994277e-05 1.905255888326e-02 3.032489981338e-04 7.901265721389e-02 1.023201437105e-04 2.665989497354e-02 3.735874827959e-05 9.733961166966e-03 0.000000000000e+00 0.000000000000e+00 1.728369853193e-04 4.503332099679e-02 1.329930680312e-04 3.465183977800e-02 1.535192000000e-05 4.000000000000e-03 2.326651725452e-05 6.062177826491e-03 7.675960000000e-06 2.000000000000e-03 1.727091000000e-03 4.500000000000e-01 3.527758709451e-03 9.191706859991e-01 8.827354000000e-05 2.300000000000e-02 3.914739600000e-04 1.020000000000e-01 2.315863973534e-04 6.034069936618e-02 1.113014200000e-04 2.900000000000e-02 7.675960000000e-06 2.000000000000e-03 2.545827922578e-05 6.633249580711e-03 8.827354000000e-05 2.300000000000e-02 1.329515271687e-05 3.464101615138e-03 1.145622565160e-04 2.984962311320e-02 3.837980000000e-06 1.000000000000e-03 2.034853418318e-04 5.301886456725e-02 4.039006710448e-05 1.052378258992e-02 4.643955800000e-04 1.210000000000e-01 4.320924632982e-05 1.125833024920e-02 2.579739304473e-04 6.721606950722e-02 + 8 HQP_YQQ 7.500000000000e-01 3.003289000000e+04 8.000000000000e+03 3.194153740800e-01 2.660156075499e-03 1.138400822937e-05 3.570714214271e-03 2.550528000000e-05 8.000000000000e-03 6.567609600000e-04 2.060000000000e-01 2.384255602888e-04 7.478469094674e-02 6.770619061582e-05 2.123676058160e-02 3.825792000000e-05 1.200000000000e-02 1.244914225639e-04 3.904804732634e-02 9.663596429653e-05 3.031088913246e-02 2.153601490037e-04 6.754998149519e-02 9.387493674520e-05 2.944486372867e-02 1.460177280000e-03 4.580000000000e-01 2.484924796196e-05 7.794228634060e-03 5.798157857792e-05 1.818653347947e-02 1.104411020532e-05 3.464101615138e-03 7.077068921845e-05 2.219797288042e-02 4.463424000000e-05 1.400000000000e-02 5.987887328992e-05 1.878163997099e-02 0.000000000000e+00 0.000000000000e+00 3.188160000000e-05 1.000000000000e-02 1.912896000000e-05 6.000000000000e-03 3.443212800000e-04 1.080000000000e-01 6.376320000000e-06 2.000000000000e-03 1.275264000000e-05 4.000000000000e-03 5.419872000000e-05 1.700000000000e-02 2.761027551329e-06 8.660254037844e-04 0.000000000000e+00 0.000000000000e+00 1.024188646663e-04 3.212475680842e-02 7.576493036899e-05 2.376446927663e-02 1.767920243414e-05 5.545268253205e-03 1.932719285931e-05 6.062177826491e-03 1.387032815484e-04 4.350574674684e-02 4.144608000000e-05 1.300000000000e-02 1.104411020532e-05 3.464101615138e-03 0.000000000000e+00 0.000000000000e+00 1.352903500151e-04 4.243524478544e-02 1.006545081057e-04 3.157134776977e-02 4.782240000000e-05 1.500000000000e-02 1.932719285931e-05 6.062177826491e-03 3.188160000000e-06 1.000000000000e-03 1.080786240000e-03 3.390000000000e-01 1.539643634830e-03 4.829254600868e-01 8.926848000000e-05 2.800000000000e-02 1.801310400000e-03 5.650000000000e-01 1.192047865292e-04 3.738983819168e-02 6.057504000000e-05 1.900000000000e-02 1.020211200000e-04 3.200000000000e-02 2.935012546361e-05 9.205976319761e-03 3.188160000000e-06 1.000000000000e-03 9.396963012719e-05 2.947456530638e-02 1.313738573200e-04 4.120679555607e-02 9.564480000000e-06 3.000000000000e-03 8.898336755025e-05 2.791057147391e-02 2.900174367790e-05 9.096702699330e-03 4.622832000000e-04 1.450000000000e-01 4.057865199914e-05 1.272792206136e-02 1.617735970017e-04 5.074199444247e-02 + 9 HQP_YQQ 1.100000000000e+00 3.003289000000e+04 8.000000000000e+03 2.209791254625e-01 2.125151490527e-03 2.019222832831e-05 9.110433579144e-03 8.200624500000e-05 3.700000000000e-02 3.989493000000e-04 1.800000000000e-01 5.476713795218e-04 2.471011938458e-01 2.407610373899e-05 1.086278049120e-02 8.865540000000e-05 4.000000000000e-02 1.244732550582e-04 5.616048432840e-02 2.810704773077e-04 1.268148256317e-01 9.092582710112e-05 4.102438299353e-02 3.818040809690e-05 1.722643317695e-02 9.375308550000e-04 4.230000000000e-01 3.675458717986e-06 1.658312395178e-03 7.019330135867e-05 3.167017524423e-02 5.758337143700e-06 2.598076211353e-03 1.126656319287e-04 5.083306010856e-02 4.432770000000e-06 2.000000000000e-03 3.619907026982e-05 1.633248297106e-02 0.000000000000e+00 0.000000000000e+00 3.546216000000e-05 1.600000000000e-02 1.086028650000e-04 4.900000000000e-02 3.546216000000e-05 1.600000000000e-02 6.649155000000e-06 3.000000000000e-03 4.767804245322e-05 2.151162476430e-02 1.329831000000e-05 6.000000000000e-03 5.442567930986e-05 2.455605831562e-02 0.000000000000e+00 0.000000000000e+00 1.325529798165e-04 5.980593616022e-02 1.827677892407e-05 8.246211251235e-03 9.597228572834e-06 4.330127018922e-03 2.495279428937e-05 1.125833024920e-02 8.312921208682e-05 3.750666607418e-02 5.483033677221e-05 2.473863375371e-02 9.138389462035e-06 4.123105625618e-03 0.000000000000e+00 0.000000000000e+00 5.374448000787e-05 2.424871130596e-02 6.276714665744e-05 2.831960451701e-02 1.773108000000e-05 8.000000000000e-03 3.919619065595e-05 1.768473918383e-02 2.881300500000e-05 1.300000000000e-02 6.316697250000e-04 2.850000000000e-01 1.310361601885e-03 5.912156966793e-01 2.881300500000e-05 1.300000000000e-02 7.136759700000e-04 3.220000000000e-01 1.243350501166e-04 5.609812831102e-02 1.551469500000e-04 7.000000000000e-02 2.881300500000e-05 1.300000000000e-02 1.880665035864e-05 8.485281374239e-03 6.983371564173e-05 3.150793550838e-02 5.459465108960e-05 2.463229587351e-02 9.210006456028e-05 4.155418149838e-02 4.432770000000e-06 2.000000000000e-03 1.008576947044e-04 4.550549417378e-02 1.273216248135e-05 5.744562646538e-03 3.568379850000e-04 1.610000000000e-01 1.582815484760e-05 7.141428428543e-03 1.480629785094e-04 6.680381725620e-02 + 10 HQP_YQQ 1.900000000000e+00 3.003289000000e+04 8.000000000000e+03 6.228474934500e-02 9.088793617869e-04 3.554546414877e-05 5.685727745856e-02 1.625442000000e-05 2.600000000000e-02 5.864094600000e-04 9.380000000000e-01 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3.902817600000e-01 3.520000000000e-01 9.844475430534e-01 8.878855500570e-01 8.870040000000e-03 8.000000000000e-03 1.518994350000e-01 1.370000000000e-01 6.664745280713e+00 6.011017114432e+00 1.105428735000e+00 9.970000000000e-01 3.606780015000e+00 3.253000000000e+00 1.257923838051e+00 1.134537240464e+00 3.015813600000e-01 2.720000000000e-01 7.761285000000e-03 7.000000000000e-03 8.007637093756e-02 7.222188034107e-02 1.489057965000e+00 1.343000000000e+00 4.270333573966e-01 3.851467252879e-01 3.293296324946e-01 2.970265139680e-01 4.684387494462e+00 4.224907661713e+00 1.874846266603e+00 1.690947293679e+00 3.139950310626e-02 2.831960451701e-02 1.707482700000e-01 1.540000000000e-01 1.536606029847e-01 1.385884194296e-01 2.513606763551e+00 2.267053373875e+00 3.104514000000e+00 2.800000000000e+00 + 6 HQP_YQQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 1.107734945400e+02 9.721701421764e-01 3.232600824888e-01 2.915523109152e-01 4.601333250000e-01 4.150000000000e-01 4.102393500000e-02 3.700000000000e-02 1.510838889017e-01 1.362644487752e-01 2.987472399736e-02 2.694438717061e-02 6.874281000000e-02 6.200000000000e-02 1.518012744192e-01 1.369114677447e-01 4.646649210178e-01 4.190871031182e-01 5.761259979438e-03 5.196152422707e-03 2.097862909508e-02 1.892088792842e-02 3.910578885000e+00 3.527000000000e+00 8.368713516540e-02 7.547847375245e-02 6.947878537536e-02 6.266378539476e-02 4.435020000000e-03 4.000000000000e-03 6.741583715217e-01 6.080318659413e-01 2.583399150000e-01 2.330000000000e-01 9.326073061009e-03 8.411301920630e-03 0.000000000000e+00 0.000000000000e+00 5.615849547628e-01 5.065004935832e-01 4.545895500000e-01 4.100000000000e-01 1.541169450000e-01 1.390000000000e-01 5.322024000000e-02 4.800000000000e-02 1.067732216355e+00 9.630010384210e-01 9.978795000000e-02 9.000000000000e-02 3.030371634913e-02 2.733130073743e-02 3.104514000000e+00 2.800000000000e+00 1.995230654505e+00 1.799523478591e+00 2.128484744647e-01 1.919707008895e-01 3.440715270077e-02 3.103224129837e-02 7.539949771661e-01 6.800374989660e-01 1.337158530000e+00 1.206000000000e+00 5.804464796342e-01 5.235119387368e-01 1.296579822614e-02 1.169401556353e-02 0.000000000000e+00 0.000000000000e+00 2.592566990747e-02 2.338268590218e-02 2.011802262942e-01 1.814469619476e-01 3.902817600000e-01 3.520000000000e-01 9.844475430534e-01 8.878855500570e-01 8.870040000000e-03 8.000000000000e-03 1.518994350000e-01 1.370000000000e-01 6.664745280713e+00 6.011017114432e+00 1.105428735000e+00 9.970000000000e-01 3.606780015000e+00 3.253000000000e+00 1.257923838051e+00 1.134537240464e+00 3.015813600000e-01 2.720000000000e-01 7.761285000000e-03 7.000000000000e-03 8.007637093756e-02 7.222188034107e-02 1.489057965000e+00 1.343000000000e+00 4.270333573966e-01 3.851467252879e-01 3.293296324946e-01 2.970265139680e-01 4.684387494462e+00 4.224907661713e+00 1.874846266603e+00 1.690947293679e+00 3.139950310626e-02 2.831960451701e-02 1.707482700000e-01 1.540000000000e-01 1.536606029847e-01 1.385884194296e-01 2.513606763551e+00 2.267053373875e+00 3.104514000000e+00 2.800000000000e+00 + 7 HQP_YQQ 4.500000000000e-01 3.003289000000e+04 8.000000000000e+03 1.020433727500e+02 8.427346701442e-01 2.821723430667e-01 2.774828823549e-01 4.372670000000e-01 4.300000000000e-01 5.287880000000e-02 5.200000000000e-02 2.400487169964e-01 2.360593145800e-01 3.189890656809e-02 3.136877428272e-02 6.813230000000e-02 6.700000000000e-02 1.299962577870e-01 1.278358322224e-01 3.949275525689e-01 3.883641976290e-01 8.806612331084e-03 8.660254037844e-03 2.775131092485e-02 2.729010809799e-02 3.951673400000e+00 3.886000000000e+00 7.863076918224e-02 7.732399368889e-02 6.647096576798e-02 6.536627570850e-02 1.016900000000e-03 1.000000000000e-03 6.178173836863e-01 6.075497921981e-01 2.389715000000e-01 2.350000000000e-01 1.089317785348e-02 1.071214264281e-02 0.000000000000e+00 0.000000000000e+00 5.145514000000e-01 5.060000000000e-01 4.077769000000e-01 4.010000000000e-01 1.718561000000e-01 1.690000000000e-01 5.389570000000e-02 5.300000000000e-02 9.736820155091e-01 9.575002610966e-01 9.253790000000e-02 9.100000000000e-02 4.257642627476e-02 4.186884283092e-02 2.847320000000e+00 2.800000000000e+00 1.889981010748e+00 1.858571158175e+00 1.896893325561e-01 1.865368596283e-01 2.952514469448e-02 2.903446228192e-02 6.699966635853e-01 6.588618975172e-01 1.237567300000e+00 1.217000000000e+00 5.110048978534e-01 5.025124376570e-01 1.118590000000e-02 1.100000000000e-02 0.000000000000e+00 0.000000000000e+00 3.962975548988e-02 3.897114317030e-02 1.706968957918e-01 1.678600607649e-01 2.908334000000e-01 2.860000000000e-01 9.116511335750e-01 8.965002788622e-01 1.016900000000e-03 1.000000000000e-03 8.338580000000e-02 8.200000000000e-02 6.249361804368e+00 6.145502806931e+00 1.031136600000e+00 1.014000000000e+00 3.891676300000e+00 3.827000000000e+00 1.155787599687e+00 1.136579407697e+00 2.145659000000e-01 2.110000000000e-01 9.152100000000e-03 9.000000000000e-03 7.704821195594e-02 7.576773719731e-02 1.358578400000e+00 1.336000000000e+00 3.911097740249e-01 3.846098672681e-01 2.888510670249e-01 2.840506116874e-01 4.301392611172e+00 4.229907179833e+00 1.697279822126e+00 1.669072496928e+00 1.577834308815e-02 1.551612064918e-02 1.454167000000e-01 1.430000000000e-01 1.344184486673e-01 1.321845301085e-01 2.289045965789e+00 2.251003998219e+00 2.847320000000e+00 2.800000000000e+00 + 8 HQP_YQQ 7.500000000000e-01 3.003289000000e+04 8.000000000000e+03 8.459878638750e+01 8.195103843123e-01 2.241957281200e-01 2.654067632899e-01 3.260638500000e-01 3.860000000000e-01 1.106589750000e-01 1.310000000000e-01 3.661480950910e-01 4.334524195341e-01 1.941030272639e-02 2.297825058615e-02 3.463372500000e-02 4.100000000000e-02 1.383306504799e-01 1.637582059013e-01 2.743324909544e-01 3.247595264192e-01 9.510193019754e-03 1.125833024920e-02 1.682572611187e-02 1.991858428704e-02 3.070575375000e+00 3.635000000000e+00 5.873572834583e-02 6.953236656407e-02 1.038771353287e-01 1.229715414232e-01 2.926213236847e-03 3.464101615138e-03 5.284934724836e-01 6.256396726551e-01 2.018892750000e-01 2.390000000000e-01 1.243640625660e-02 1.472243186434e-02 0.000000000000e+00 0.000000000000e+00 4.324992000000e-01 5.120000000000e-01 2.855170500000e-01 3.380000000000e-01 1.571188500000e-01 1.860000000000e-01 4.054680000000e-02 4.800000000000e-02 7.851721146987e-01 9.295002689618e-01 5.659657500000e-02 6.700000000000e-02 2.492654515848e-02 2.950847335936e-02 2.365230000000e+00 2.800000000000e+00 1.585131976949e+00 1.876506528099e+00 1.364871460285e-01 1.615758335891e-01 2.461326301927e-02 2.913760456867e-02 5.523106365124e-01 6.538348415311e-01 1.057595700000e+00 1.252000000000e+00 4.350481369340e-01 5.150174754317e-01 1.817140722902e-02 2.151162476430e-02 0.000000000000e+00 0.000000000000e+00 3.145679229611e-02 3.723909236273e-02 1.420394475022e-01 1.681487436765e-01 2.255415750000e-01 2.670000000000e-01 7.565363655199e-01 8.956007760157e-01 0.000000000000e+00 0.000000000000e+00 2.449702500000e-02 2.900000000000e-02 5.582844721626e+00 6.609067710351e+00 8.607747750000e-01 1.019000000000e+00 3.609509925000e+00 4.273000000000e+00 9.796117979538e-01 1.159681313982e+00 1.875289500000e-01 2.220000000000e-01 2.111812500000e-02 2.500000000000e-02 5.110935297998e-02 6.050413209030e-02 1.109968650000e+00 1.314000000000e+00 2.998797544976e-01 3.550028168902e-01 2.306099250000e-01 2.730000000000e-01 3.570574411602e+00 4.226907468824e+00 1.431952894615e+00 1.695170492900e+00 1.755727942108e-02 2.078460969083e-02 1.436032500000e-01 1.700000000000e-01 1.163353785658e-01 1.377198242810e-01 1.914596139900e+00 2.266531877120e+00 2.365230000000e+00 2.800000000000e+00 + 9 HQP_YQQ 1.100000000000e+00 3.003289000000e+04 8.000000000000e+03 5.851309180000e+01 6.793406919305e-01 1.484417834231e-01 2.527765811937e-01 2.102337100000e-01 3.580000000000e-01 3.047801550000e-01 5.190000000000e-01 4.413195014134e-01 7.515083166539e-01 2.779970939319e-02 4.733920151418e-02 5.872450000000e-03 1.000000000000e-02 1.497566864030e-01 2.550156857921e-01 1.652849536798e-01 2.814582562299e-01 2.135990170631e-02 3.637306695895e-02 1.579023074208e-02 2.688865931950e-02 2.154014660000e+00 3.668000000000e+00 4.365407276622e-02 7.433707016018e-02 9.832452617817e-02 1.674335689162e-01 1.525707264736e-03 2.598076211353e-03 3.835285360872e-01 6.530980018343e-01 1.497474750000e-01 2.550000000000e-01 1.038527466201e-02 1.768473918383e-02 0.000000000000e+00 0.000000000000e+00 3.162317051299e-01 5.385004642524e-01 1.726500300000e-01 2.940000000000e-01 1.632541100000e-01 2.780000000000e-01 3.171123000000e-02 5.400000000000e-02 5.352739785655e-01 9.115002742731e-01 5.226480500000e-02 8.900000000000e-02 1.118851994140e-02 1.905255888326e-02 1.644286000000e+00 2.800000000000e+00 1.150798354285e+00 1.959656283638e+00 1.106964613368e-01 1.885013262553e-01 2.140022626874e-02 3.644173431658e-02 3.846965753690e-01 6.550870171206e-01 7.833848300000e-01 1.334000000000e+00 3.228089290391e-01 5.497006003271e-01 1.373450433921e-02 2.338803112705e-02 0.000000000000e+00 0.000000000000e+00 1.779991808859e-02 3.031088913246e-02 1.335988828226e-01 2.275010988984e-01 1.703010500000e-01 2.900000000000e-01 5.341072370085e-01 9.095134688392e-01 8.221430000000e-03 1.400000000000e-02 4.874133500000e-02 8.300000000000e-02 4.389463493186e+00 7.474671547968e+00 5.749128550000e-01 9.790000000000e-01 2.371882555000e+00 4.039000000000e+00 7.318279139225e-01 1.246205440527e+00 9.983165000000e-02 1.700000000000e-01 4.110715000000e-03 7.000000000000e-03 3.630841378790e-02 6.182839153657e-02 7.528480900000e-01 1.282000000000e+00 2.357967840079e-01 4.015305094261e-01 2.080190562207e-01 3.542287396584e-01 2.485465605872e+00 4.232416803671e+00 1.037727051620e+00 1.767110918986e+00 1.861436969931e-02 3.169779172119e-02 1.127510400000e-01 1.920000000000e-01 6.931481375167e-02 1.180338934374e-01 1.399410995761e+00 2.383010490955e+00 1.644286000000e+00 2.800000000000e+00 + 10 HQP_YQQ 1.900000000000e+00 3.003289000000e+04 8.000000000000e+03 1.652091845000e+01 3.000819248883e-01 3.396338255758e-02 2.050384110356e-01 6.112263600000e-02 3.690000000000e-01 2.118586760000e-01 1.279000000000e+00 1.974644618177e-01 1.192101505745e+00 1.254609788328e-02 7.574133613820e-02 5.797540000000e-03 3.500000000000e-02 6.083646586221e-02 3.672723784877e-01 3.041180534071e-02 1.835973856023e-01 6.900036966453e-02 4.165582192203e-01 1.470784407922e-02 8.879189152169e-02 9.989989640000e-01 6.031000000000e+00 1.115455846477e-02 6.734055241829e-02 5.412904027692e-02 3.267793598133e-01 1.524914741510e-03 9.205976319761e-03 9.078772202541e-02 5.480894087647e-01 5.284043600000e-02 3.190000000000e-01 5.020816919456e-03 3.031088913246e-02 0.000000000000e+00 0.000000000000e+00 9.267789201427e-02 5.595004468273e-01 3.892634000000e-02 2.350000000000e-01 1.351655040000e-01 8.160000000000e-01 8.447844000000e-03 5.100000000000e-02 1.468434527129e-01 8.865002820079e-01 1.292023200000e-02 7.800000000000e-02 7.205037995772e-03 4.349712634186e-02 4.638032000000e-01 2.800000000000e+00 3.489561549462e-01 2.106663416400e+00 3.000443428267e-02 1.811380688867e-01 7.868961762232e-03 4.750526286634e-02 1.047082355377e-01 6.321281515642e-01 2.544291840000e-01 1.536000000000e+00 9.245339396997e-02 5.581451424137e-01 6.839211887432e-03 4.128861828640e-02 0.000000000000e+00 0.000000000000e+00 9.611278102959e-03 5.802370205356e-02 4.499270370724e-02 2.716229003600e-01 3.064414000000e-02 1.850000000000e-01 1.501574280530e-01 9.065068946235e-01 6.625760000000e-04 4.000000000000e-03 3.909198400000e-01 2.360000000000e+00 1.553508207209e+00 9.378596310216e+00 1.552084280000e-01 9.370000000000e-01 5.524227400000e-01 3.335000000000e+00 2.204822442835e-01 1.331060855108e+00 5.482816400000e-02 3.310000000000e-01 1.209201200000e-02 7.300000000000e-02 1.259112333768e-02 7.601315675592e-02 2.111961000000e-01 1.275000000000e+00 6.459579758385e-02 3.899676268615e-01 6.195085600000e-02 3.740000000000e-01 7.025684181039e-01 4.241435959672e+00 3.007409377210e-01 1.815586062405e+00 6.464361886755e-03 3.902563260218e-02 4.853369200000e-02 2.930000000000e-01 1.538439550430e-02 9.287626176801e-02 4.070479789357e-01 2.457366273066e+00 4.638032000000e-01 2.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat b/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat new file mode 100644 index 0000000000..3ccd0ef98a --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat @@ -0,0 +1,77 @@ +CDFR2KT 25 76 + 1 JET 5.000000000000e-02 3.364000000000e+03 1.960000000000e+03 1.233177570093e+01 4.248088360238e-01 7.145284621920e-01 5.800000000000e+00 1.093032151633e+00 8.872405810151e+00 4.575483425440e-01 3.714030339133e+00 1.839876932981e-01 1.493472517323e+00 1.634101223371e-01 1.326439406833e+00 2.240482034430e-01 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.275045537341e-02 2.900000000000e+00 6.098360655738e-02 5.400000000000e+00 1.242258652095e-02 1.100000000000e+00 1.364569854941e-02 1.208304597359e+00 6.274033596438e-02 5.555555555556e+00 + 5 JET 5.000000000000e-02 1.060900000000e+04 1.960000000000e+03 4.905498614958e-01 1.015697137581e-02 2.843767313019e-02 5.800000000000e+00 4.120633723851e-02 8.404230363335e+00 1.217459963865e-02 2.483068061894e+00 7.913489765123e-03 1.613994240231e+00 1.676348719476e-02 3.418993715993e+00 1.103730244130e-02 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.421883656510e-02 2.900000000000e+00 2.304432132964e-02 4.700000000000e+00 4.903047091413e-03 1.000000000000e+00 5.159860161819e-03 1.052378258992e+00 2.218368490113e-02 4.524469067405e+00 + 6 JET 5.000000000000e-02 1.404225000000e+04 1.960000000000e+03 2.181925233645e-01 5.607476635514e-03 1.262990654206e-02 5.800000000000e+00 1.843792149533e-02 8.467200000000e+00 4.844222429907e-03 2.224600000000e+00 3.499790654206e-03 1.607200000000e+00 8.941538317757e-03 4.106200000000e+00 5.235233570617e-03 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.425676909094e-03 2.950847335936e+00 9.145794392523e-03 4.200000000000e+00 1.959813084112e-03 9.000000000000e-01 2.074414121401e-03 9.526279441629e-01 7.936937723819e-03 3.644859813084e+00 + 7 JET 5.000000000000e-02 1.863225000000e+04 1.960000000000e+03 8.865509433962e-02 1.132075471698e-03 5.121509433962e-03 5.800000000000e+00 7.667887198036e-03 8.683718408032e+00 1.819190319819e-03 2.060194165607e+00 1.373488691463e-03 1.555446595033e+00 4.338768912768e-03 4.913563084972e+00 2.259476022770e-03 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.651998366594e-03 3.003331483536e+00 3.267169811321e-03 3.700000000000e+00 7.064150943396e-04 8.000000000000e-01 7.531586742567e-04 8.529361054616e-01 2.665717337131e-03 3.018867924528e+00 + 8 JET 5.000000000000e-02 2.480625000000e+04 1.960000000000e+03 3.462647338403e-02 5.703422053232e-04 2.001330798479e-03 5.800000000000e+00 3.117240057920e-03 9.033984961245e+00 6.530636905752e-04 1.892625351199e+00 5.353603509948e-04 1.551512642552e+00 1.997159890945e-03 5.787912411224e+00 9.329311060757e-04 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.052706750012e-03 3.050819562019e+00 1.104182509506e-03 3.200000000000e+00 2.070342205323e-04 6.000000000000e-01 2.760456273764e-04 8.000000000000e-01 8.528025560583e-04 2.471482889734e+00 + 9 JET 5.000000000000e-02 3.312400000000e+04 1.960000000000e+03 1.337509560229e-02 9.560229445507e-05 7.707456978967e-04 5.800000000000e+00 1.273940859720e-03 9.586634095448e+00 2.330768991468e-04 1.753945586385e+00 2.027449739154e-04 1.525692393636e+00 9.099577569429e-04 6.847595782463e+00 3.725584248325e-04 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.195427667303e-04 3.157134776977e+00 3.720841300191e-04 2.800000000000e+00 6.644359464627e-05 5.000000000000e-01 9.302103250478e-05 7.000000000000e-01 2.667907242011e-04 2.007648183556e+00 + 10 JET 5.000000000000e-02 4.389025000000e+04 1.960000000000e+03 5.047002881844e-03 5.763688760807e-05 2.908357348703e-04 5.800000000000e+00 5.203537004278e-04 1.037716862347e+01 8.381986153798e-05 1.671579997338e+00 7.711427261494e-05 1.537853597551e+00 4.070292476284e-04 8.117192467073e+00 1.479675609374e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.656273864147e-04 3.303028912983e+00 1.253602305476e-04 2.500000000000e+00 2.005763688761e-05 4.000000000000e-01 3.278595458974e-05 6.538348415311e-01 8.188756654403e-05 1.633045148895e+00 + 11 JET 5.000000000000e-02 5.832225000000e+04 1.960000000000e+03 1.739079074253e-03 2.892960462874e-05 1.001157184185e-04 5.800000000000e+00 1.950111810887e-04 1.129757512788e+01 2.756432810633e-05 1.596883142249e+00 2.653388593413e-05 1.537186576184e+00 1.638403053797e-04 9.491754004398e+00 5.351012536162e-05 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.138702951732e-05 3.556332380417e+00 3.797492767599e-05 2.200000000000e+00 5.178399228544e-06 3.000000000000e-01 1.035679845709e-05 6.000000000000e-01 2.163908388655e-05 1.253616200579e+00 + 12 JET 5.000000000000e-02 7.756225000000e+04 1.960000000000e+03 5.774003868472e-04 1.063829787234e-05 3.320696324952e-05 5.800000000000e+00 7.049384386725e-05 1.231260718898e+01 8.692330341354e-06 1.518221211649e+00 8.787850454995e-06 1.534904961227e+00 6.323431523051e-05 1.104464222100e+01 1.918415611071e-05 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.181646974640e-05 3.810511776652e+00 1.145067698259e-05 2.000000000000e+00 2.290135396518e-06 4.000000000000e-01 3.174853777463e-06 5.545268253205e-01 5.537077844580e-06 9.671179883946e-01 + 13 JET 5.000000000000e-02 1.030410000000e+05 1.960000000000e+03 1.743779069767e-04 5.813953488372e-06 1.000387596899e-05 5.800000000000e+00 2.301834010579e-05 1.334546460066e+01 2.490194907423e-06 1.443753451944e+00 2.617897210367e-06 1.517792090505e+00 2.180516822782e-05 1.264209753433e+01 6.296723898946e-06 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.167290994875e-06 4.155418149838e+00 3.104651162791e-06 1.800000000000e+00 1.034883720930e-06 6.000000000000e-01 9.564513072388e-07 5.545268253205e-01 1.169926687098e-06 6.782945736434e-01 + 14 JET 5.000000000000e-02 1.369000000000e+05 1.960000000000e+03 4.616388349515e-05 2.718446601942e-06 2.635339805825e-06 5.800000000000e+00 6.633695245483e-06 1.459979936506e+01 6.398457825431e-07 1.408207598332e+00 6.868932665536e-07 1.511752274680e+00 6.605466755077e-06 1.453767255925e+01 1.817475728155e-06 4.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.115012950626e-06 4.654836194755e+00 7.269902912621e-07 1.600000000000e+00 4.543689320388e-07 1.000000000000e+00 2.069748987883e-07 4.555216789572e-01 2.205674427373e-07 4.854368932039e-01 + 15 JET 5.000000000000e-02 1.819022500000e+05 1.960000000000e+03 1.283098249027e-05 1.167315175097e-06 7.278210116732e-07 5.800000000000e+00 2.069057956107e-06 1.648830681301e+01 1.734181523905e-07 1.381967912073e+00 1.913579612585e-07 1.524930109874e+00 2.143807159724e-06 1.708398263718e+01 5.649675057585e-07 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.593410813919e-07 5.254283966441e+00 1.756809338521e-07 1.400000000000e+00 2.258754863813e-07 1.800000000000e+00 5.716176710650e-08 4.555216789572e-01 2.441369286439e-08 1.945525291829e-01 + 16 JET 5.000000000000e-02 2.420640000000e+05 1.960000000000e+03 2.467594936709e-06 4.868549172347e-07 1.394936708861e-07 5.800000000000e+00 4.745434615514e-07 1.973101761187e+01 3.489290158466e-08 1.450810118520e+00 3.977790780651e-08 1.653923535113e+00 5.087385051043e-07 2.115281152802e+01 1.251095338072e-07 5.201922721456e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.443438762908e-07 6.001666435249e+00 3.126582278481e-08 1.300000000000e+00 7.455696202532e-08 3.100000000000e+00 1.020381937408e-08 4.242640687119e-01 2.341833779103e-09 9.737098344693e-02 + 17 JET 5.000000000000e-02 3.763822500000e+05 1.960000000000e+03 2.193318713450e-07 9.259259259259e-08 1.204093567251e-08 5.800000000000e+00 5.415936043715e-08 2.608802995705e+01 3.405229249043e-09 1.640265356581e+00 4.053844344098e-09 1.952696853073e+00 6.015905006642e-08 2.897802129960e+01 1.455883100412e-08 7.012845356915e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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5.800000000000e+00 2.854309952371e-03 9.042933933188e+00 5.979796733348e-04 1.894500166271e+00 4.902042670942e-04 1.553049554908e+00 1.828705280082e-03 5.793645857316e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.159021638163e-04 1.951281630109e+00 7.575355450237e-04 2.400000000000e+00 1.262559241706e-04 4.000000000000e-01 2.525118483412e-04 8.000000000000e-01 8.676354978549e-04 2.748815165877e+00 + 26 JET 4.000000000000e-01 3.312400000000e+04 1.960000000000e+03 1.179484240688e-02 9.551098376313e-05 6.813753581662e-04 5.800000000000e+00 1.140597783687e-03 9.708990890407e+00 2.086807975166e-04 1.776331666666e+00 1.815237074288e-04 1.545165216894e+00 8.147127026334e-04 6.934993493148e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.409741694462e-04 2.051219149677e+00 2.584527220630e-04 2.200000000000e+00 4.699140401146e-05 4.000000000000e-01 8.223495702006e-05 7.000000000000e-01 2.580712254689e-04 2.196752626552e+00 + 27 JET 4.000000000000e-01 4.389025000000e+04 1.960000000000e+03 4.373342939481e-03 1.921229586936e-05 2.523919308357e-04 5.800000000000e+00 4.598691979401e-04 1.056785507849e+01 7.407686822489e-05 1.702296243314e+00 6.815071876690e-05 1.566112543849e+00 3.597172721001e-04 8.266350557531e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.138328530259e-05 2.100000000000e+00 8.703170028818e-05 2.000000000000e+00 1.740634005764e-05 4.000000000000e-01 3.046109510086e-05 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4.546332046332e-06 3.000000000000e-01 9.092664092664e-06 6.000000000000e-01 1.755340558429e-05 1.158301158301e+00 + 29 JET 4.000000000000e-01 7.756225000000e+04 1.960000000000e+03 4.763719689622e-04 5.819592628516e-06 2.739670223084e-05 5.800000000000e+00 6.132254166402e-05 1.298224650012e+01 7.561451614398e-06 1.600791912617e+00 7.644544489282e-06 1.618383032536e+00 5.500748317288e-05 1.164532138629e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.180892337536e-05 2.500000000000e+00 8.030067895247e-06 1.700000000000e+00 1.417070805044e-06 3.000000000000e-01 2.834141610087e-06 6.000000000000e-01 3.207079093212e-06 6.789524733269e-01 + 30 JET 4.000000000000e-01 1.030410000000e+05 1.960000000000e+03 1.406352140078e-04 1.945525291829e-06 8.068093385214e-06 5.800000000000e+00 2.023096951935e-05 1.454366200412e+01 2.188648574908e-06 1.573378136368e+00 2.300886963365e-06 1.654064194643e+00 1.916470482901e-05 1.377714445050e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.321280532627e+01 9.692654519426e-05 2.417380423103e+00 8.431281671008e-05 2.102789820096e+00 3.784118545255e-04 9.437718090195e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.503855797615e-04 3.750666607418e+00 0.000000000000e+00 0.000000000000e+00 1.041716681873e-04 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.704302826348e-04 4.250588194591e+00 1.924593301435e-04 4.800000000000e+00 4.009569377990e-06 1.000000000000e-01 3.819627833533e-05 9.526279441629e-01 8.057507840938e-05 2.009569377990e+00 + 60 JET 1.350000000000e+00 4.389025000000e+04 1.960000000000e+03 1.099134615385e-03 1.923076923077e-05 6.413461538462e-05 5.800000000000e+00 1.672144035384e-04 1.512199823304e+01 2.693530984832e-05 2.435888890631e+00 2.478048506046e-05 2.241017779381e+00 1.307978646235e-04 1.182867645290e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.757378553643e-05 4.302324952860e+00 8.983311697434e-06 8.124038404636e-01 2.872872733708e-05 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.584681999066e-05 5.050495025243e+00 5.197115384615e-05 4.700000000000e+00 2.211538461538e-06 2.000000000000e-01 9.951923076923e-06 9.000000000000e-01 1.701183431953e-05 1.538461538462e+00 + 61 JET 1.350000000000e+00 5.832225000000e+04 1.960000000000e+03 2.648310810811e-04 8.687258687259e-06 1.528378378378e-05 5.800000000000e+00 4.604601883267e-05 1.747387381343e+01 6.508486149400e-06 2.469887051567e+00 6.265178255965e-06 2.377554825341e+00 3.868595505625e-05 1.468082397006e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344435512795e-05 5.101960407530e+00 6.598369959411e-06 2.503996805110e+00 6.846281908296e-06 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.620715223883e-05 6.150406490631e+00 1.212162162162e-05 4.600000000000e+00 1.054054054054e-06 4.000000000000e-01 2.371621621622e-06 9.000000000000e-01 3.052280079307e-06 1.158301158301e+00 + 62 JET 1.350000000000e+00 7.756225000000e+04 1.960000000000e+03 5.149912875121e-05 2.226524685382e-06 2.908422071636e-06 5.800000000000e+00 1.010654729516e-05 2.015456246312e+01 1.246200276232e-06 2.485183176347e+00 1.259894784762e-06 2.512492881582e+00 9.065764646877e-06 1.807902486530e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.035649423562e-06 6.053717865907e+00 2.782042408697e-06 5.547972602672e+00 1.302810723602e-06 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.790112034101e-06 7.558273612406e+00 2.206389157793e-06 4.400000000000e+00 4.011616650532e-07 8.000000000000e-01 4.513068731849e-07 9.000000000000e-01 4.368895190560e-07 8.712487899322e-01 + 63 JET 1.350000000000e+00 1.030410000000e+05 1.960000000000e+03 8.230475728155e-06 5.922330097087e-07 4.499223300971e-07 5.800000000000e+00 1.871266017276e-06 2.412270335161e+01 2.024393194834e-07 2.609668323753e+00 2.128208230466e-07 2.743497468561e+00 1.772641733425e-06 2.285132647594e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.586320014766e-07 7.201388754956e+00 8.282782663380e-07 1.067742946593e+01 2.015400866865e-07 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.133641836743e-07 9.196058938480e+00 3.335631067961e-07 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3.700000000000e+00 1.723069544365e+00 1.100000000000e+00 2.648741805330e+00 1.690945090053e+00 0.000000000000e+00 0.000000000000e+00 9.398561151079e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.662925659472e+00 1.700000000000e+00 4.699280575540e-01 3.000000000000e-01 4.699280575540e-01 3.000000000000e-01 7.832134292566e-01 5.000000000000e-01 5.952422062350e+00 3.800000000000e+00 3.132853717026e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.832134292566e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.566426858513e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.192997601918e+00 1.400000000000e+00 1.566426858513e-01 1.000000000000e-01 5.649094064523e-02 3.606356743580e-02 1.205733998192e-01 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0.000000000000e+00 6.649325626204e-02 1.000000000000e-01 7.979190751445e-01 1.200000000000e+00 6.649325626204e-02 1.000000000000e-01 2.116269853253e-02 3.182683436217e-02 -1.683851403007e-02 -2.532364178964e-02 5.366581687403e-02 8.070866113481e-02 1.193860792364e-01 1.795461464030e-01 -2.436298226680e-01 -3.663977918420e-01 -7.640862277149e-01 -1.149118377815e+00 1.113723767321e-01 1.674942437669e-01 -5.245845803988e-02 -7.889289980497e-02 1.395472481768e-02 2.098667684838e-02 -4.342744775191e-03 -6.531105587725e-03 1.405096056267e-03 2.113140693141e-03 -3.352563020970e-04 -5.041959454892e-04 8.974313361030e-05 1.349657674406e-04 -1.586815579033e-05 -2.386430847633e-05 6.183339306744e-06 9.299197624457e-06 -2.439021706076e-06 -3.668073791520e-06 2.923297858267e-08 4.396382464331e-08 4.174628864383e-07 6.278274067270e-07 1.491199289030e-07 2.242632370346e-07 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-1.363911731384e-06 -4.697666029893e-06 -4.864323356675e-07 -1.675399226010e-06 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.264891041162e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.316222760291e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.842711864407e-01 1.400000000000e+00 1.316222760291e-02 1.000000000000e-01 -4.027875432100e-04 -3.060177618575e-03 7.880214590512e-05 5.986991585507e-04 -3.637046131468e-03 -2.763245129316e-02 -2.724385625011e-03 -2.069851477427e-02 1.968684733073e-02 1.495707863795e-01 7.414495862691e-02 5.633161867718e-01 -1.829074914963e-01 -1.389639330168e+00 -2.573271888702e-01 -1.955042844065e+00 6.656437667129e-02 5.057227293091e-01 -3.340283321571e-02 -2.537779639089e-01 1.125802031502e-02 8.553278863323e-02 -3.076791487815e-03 -2.337591766865e-02 8.484559839457e-04 6.446142777218e-03 -1.540690299213e-04 -1.170539171403e-03 6.050867582390e-05 4.597145532611e-04 -2.428472181610e-05 -1.845031293240e-04 3.051957841411e-07 2.318724408577e-06 4.200020519880e-06 3.190964817348e-05 1.517005158519e-06 1.152544390119e-05 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 JET 2.500000000000e-01 5.405625000000e+04 2.760000000000e+03 6.406598738476e+00 0.000000000000e+00 2.370441533236e-01 3.700000000000e+00 1.281319747695e-01 2.000000000000e+00 1.150981278248e-01 1.796555903112e+00 1.281319747695e-02 2.000000000000e-01 3.843959243086e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.609898107715e-02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.406598738476e-03 1.000000000000e-01 1.729781659389e-01 2.700000000000e+00 1.281319747695e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.921979621543e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.281319747695e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.969238233867e-02 1.400000000000e+00 6.406598738476e-03 1.000000000000e-01 1.333214007170e-07 2.081001263843e-06 3.591701069653e-05 5.606252578427e-04 7.307016432779e-04 1.140545355041e-02 -4.389487808960e-03 -6.851510431889e-02 -4.242392378786e-03 -6.621910551861e-02 2.777154684507e-02 4.334834750658e-01 4.308383451019e-02 6.724915398780e-01 -1.489456501336e-01 -2.324878710432e+00 -1.550144343286e-01 -2.419605794844e+00 4.303720575773e-02 6.717637160457e-01 -2.629657153477e-02 -4.104607235169e-01 6.820774345163e-03 1.064648282746e-01 -2.150697567675e-03 -3.357003701134e-02 3.981610833496e-04 6.214859078942e-03 -1.579174309838e-04 -2.464918397892e-03 6.447685929338e-05 1.006413261161e-03 -8.410838894671e-07 -1.312839969851e-05 -1.122274309008e-05 -1.751747463545e-04 -4.079523362717e-06 -6.367689829263e-05 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.200000000000e+00 5.697267106204e-02 1.846452866861e+00 6.171039844509e-03 2.000000000000e-01 2.159863945578e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.553935860058e-02 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.085519922255e-03 1.000000000000e-01 8.022351797862e-02 2.600000000000e+00 6.171039844509e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.256559766764e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.085519922255e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.553935860058e-02 1.800000000000e+00 3.085519922255e-03 1.000000000000e-01 1.155524490029e-06 3.744991181858e-05 6.552311951683e-06 2.123568188435e-04 2.425861772747e-04 7.862084296556e-03 -3.987032052801e-04 -1.292175112546e-02 -1.282398196861e-03 -4.156181872660e-02 -3.787782863307e-03 -1.227599548455e-01 2.409949388238e-02 7.810513135425e-01 1.854229269819e-02 6.009454861871e-01 -1.064835589564e-01 -3.451073454052e+00 -9.628040732970e-02 -3.120394933615e+00 3.485859490100e-02 1.129747847343e+00 -1.593609667195e-02 -5.164801094626e-01 4.782294167732e-03 1.549915180660e-01 -9.907120101490e-04 -3.210843018719e-02 3.905123733146e-04 1.265629077609e-02 -1.663358500016e-04 -5.390853217374e-03 2.338121869599e-06 7.577724106510e-05 2.940761679995e-05 9.530846515639e-04 1.090609979477e-05 3.534606831124e-04 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 + 11 JET 2.500000000000e-01 8.179600000000e+04 2.760000000000e+03 1.568093385214e+00 0.000000000000e+00 5.801945525292e-02 3.700000000000e+00 1.254474708171e-02 8.000000000000e-01 2.898227073839e-02 1.848249027237e+00 1.568093385214e-03 1.000000000000e-01 1.097665369650e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.979377431907e-02 1.900000000000e+00 1.568093385214e-03 1.000000000000e-01 1.568093385214e-03 1.000000000000e-01 3.136186770428e-03 2.000000000000e-01 3.920233463035e-02 2.500000000000e+00 3.136186770428e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.136186770428e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568093385214e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568093385214e-03 1.000000000000e-01 2.979377431907e-02 1.900000000000e+00 1.568093385214e-03 1.000000000000e-01 4.179190913437e-09 2.665141599884e-07 -1.724284886508e-07 -1.099605994622e-05 -7.866828809737e-06 -5.016811424572e-04 7.556863862045e-05 4.819141470336e-03 1.012504572697e-04 6.456915016949e-03 -2.155390030136e-03 -1.374529125918e-01 -1.908172531077e-03 -1.216874294012e-01 1.949598794931e-02 1.243292531755e+00 1.028875203478e-02 6.561313332351e-01 -7.870404305375e-02 -5.019091579358e+00 -6.365492580235e-02 -4.059383605758e+00 1.912324468039e-02 1.219522055300e+00 -1.050538688164e-02 -6.699465083328e-01 2.085496868183e-03 1.329957059859e-01 -9.298212622424e-04 -5.929629389486e-02 4.102619961103e-04 2.616310992564e-02 -6.382442010073e-06 -4.070192547367e-04 -7.469528304889e-05 -4.763446090215e-03 -2.827648486667e-05 -1.803239853780e-03 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 JET 2.500000000000e-01 9.922500000000e+04 2.760000000000e+03 7.453482708232e-01 0.000000000000e+00 2.757788602046e-02 3.700000000000e+00 2.012440331223e-02 2.700000000000e+00 1.416838177195e-02 1.900907579258e+00 2.236044812470e-03 3.000000000000e-01 5.962786166585e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.416161714564e-02 1.900000000000e+00 1.490696541646e-03 2.000000000000e-01 1.490696541646e-03 2.000000000000e-01 2.981393083293e-03 4.000000000000e-01 1.788835849976e-02 2.400000000000e+00 2.236044812470e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.236044812470e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.490696541646e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.490696541646e-03 2.000000000000e-01 1.490696541646e-02 2.000000000000e+00 1.490696541646e-03 2.000000000000e-01 -2.248470239416e-09 -3.016670632284e-07 -3.787241508543e-11 -5.081170315671e-09 -9.360956821108e-07 -1.255917158132e-04 3.017066425878e-06 4.047861307233e-04 2.261165554046e-05 3.033703360643e-03 3.940651784490e-05 5.286993931224e-03 -1.789119829861e-03 -2.400381002944e-01 6.436050503064e-05 8.634957314593e-03 1.358045562858e-02 1.822028192751e+00 2.288129197531e-03 3.069879259268e-01 -4.939815901791e-02 -6.627527150946e+00 -4.190932064738e-02 -5.622783641947e+00 1.542078299442e-02 2.068936576105e+00 -4.962124255647e-03 -6.657457258426e-01 1.999692358303e-03 2.682896622400e-01 -1.006279603918e-03 -1.350079745682e-01 1.709466380571e-05 2.293513579474e-03 1.864939519216e-04 2.502104844433e-02 7.237269933030e-05 9.709917117050e-03 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 JET 2.500000000000e-01 1.197160000000e+05 2.760000000000e+03 3.212475633528e-01 0.000000000000e+00 1.188615984405e-02 3.700000000000e+00 1.284990253411e-03 4.000000000000e-01 6.262135737872e-03 1.949317738791e+00 1.284990253411e-03 4.000000000000e-01 2.248732943470e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.103703703704e-03 1.900000000000e+00 6.424951267057e-04 2.000000000000e-01 6.424951267057e-04 2.000000000000e-01 1.284990253411e-03 4.000000000000e-01 7.067446393762e-03 2.200000000000e+00 6.424951267057e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.424951267057e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.424951267057e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.637426900585e-04 3.000000000000e-01 6.424951267057e-03 2.000000000000e+00 3.212475633528e-04 1.000000000000e-01 -8.699408581027e-10 -2.708007646885e-07 2.866242847370e-09 8.922224397458e-07 -3.813018472769e-08 -1.186940823137e-05 -1.165217650605e-06 -3.627164167234e-04 1.607184775007e-06 5.002947752296e-04 1.046954895784e-04 3.259028286028e-02 -4.895033378025e-05 -1.523757356145e-02 -1.420425921852e-03 -4.421592827124e-01 3.116906198957e-04 9.702505340199e-02 9.830948692654e-03 3.060240703478e+00 2.266718077793e-03 7.055985278566e-01 -3.464909068569e-02 -1.078579097194e+01 -2.690876281852e-02 -8.376332115231e+00 5.700591198671e-03 1.774516556382e+00 -4.253243248190e-03 -1.323976812088e+00 2.195470840552e-03 6.834202313125e-01 -4.473377107502e-05 -1.392501490381e-02 -4.506041762972e-04 -1.402669553644e-01 -1.781133491160e-04 -5.544426462167e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.000000000000e-01 3.374634146341e-04 3.000000000000e-01 6.749268292683e-04 6.000000000000e-01 2.474731707317e-03 2.200000000000e+00 2.249756097561e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.249756097561e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.249756097561e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.499512195122e-04 4.000000000000e-01 2.699707317073e-03 2.400000000000e+00 2.249756097561e-04 2.000000000000e-01 -6.961746377816e-12 -6.188889884876e-09 2.112928130415e-10 1.878361954619e-07 2.178178619962e-08 1.936368677764e-05 -1.677208077143e-07 -1.491013251580e-04 -4.950679582732e-07 -4.401081155508e-04 6.633528500719e-06 5.897109031428e-03 5.614741967247e-05 4.991422824309e-02 -1.210291904513e-04 -1.075931658391e-01 -7.104648065089e-04 -6.315927377898e-01 6.938377484211e-04 6.168115283015e-01 4.563373101866e-03 4.056771404521e+00 -4.115552615282e-04 -3.658665594679e-01 -1.725058558157e-02 -1.533551623686e+01 -1.494979501655e-02 -1.329014734776e+01 6.205013898995e-03 5.516165868577e+00 -5.758841938925e-03 -5.119525574500e+00 1.413618976133e-04 1.256686427178e-01 1.206761381131e-03 1.072793075160e+00 5.225017581404e-04 4.644963591448e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-4.135969595817e-08 -5.203611507939e-05 -1.504664708443e-06 -1.893072570061e-03 9.030290191507e-06 1.136133157460e-02 4.932012438775e-05 6.205141524653e-02 -1.382816592881e-04 -1.739771091007e-01 -6.286048783031e-04 -7.908703153893e-01 5.507952449983e-04 6.929752284180e-01 4.132026433809e-03 5.198650474564e+00 2.432528210396e-05 3.060450879959e-02 -1.817487689748e-02 -2.286646368840e+01 -7.166791435709e-03 -9.016797035348e+00 5.285128563827e-03 6.649409570970e+00 -2.357803794739e-04 -2.966437415830e-01 -1.741303533298e-03 -2.190796352528e+00 -7.278553330112e-04 -9.157408678251e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.016010000000e+05 2.760000000000e+03 4.641601562500e-02 0.000000000000e+00 1.717392578125e-03 3.700000000000e+00 4.177441406250e-04 9.000000000000e-01 9.540469865782e-04 2.055426287095e+00 2.320800781250e-04 5.000000000000e-01 4.177441406250e-04 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.160400390625e-03 2.500000000000e+00 1.856640625000e-04 4.000000000000e-01 1.856640625000e-04 4.000000000000e-01 4.177441406250e-04 9.000000000000e-01 9.283203125000e-04 2.000000000000e+00 1.392480468750e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.641601562500e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.283203125000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.784960937500e-04 6.000000000000e-01 1.346064453125e-03 2.900000000000e+00 9.283203125000e-05 2.000000000000e-01 -3.556654298199e-15 -7.662558387031e-12 -9.090860500367e-13 -1.958561151352e-09 -2.463498882798e-10 -5.307432897086e-07 3.680437583452e-09 7.929240659489e-06 8.993190164548e-09 1.937518773090e-05 -3.803449550491e-07 -8.194261181786e-04 -1.897652409239e-06 -4.088356968358e-03 1.611696741306e-05 3.472285847038e-02 5.038422429409e-05 1.085492229690e-01 -1.334763813016e-04 -2.875653575696e-01 -4.269727148117e-04 -9.198823058429e-01 4.328296387267e-04 9.325006312984e-01 3.398774516231e-03 7.322417640691e+00 -7.869757348569e-05 -1.695483173771e-01 -1.456737544810e-02 -3.138437294100e+01 -5.440935023688e-03 -1.172210701506e+01 4.316489461520e-04 9.299569132329e-01 1.474908817589e-03 3.177586007176e+00 1.147829704906e-03 2.472917352880e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.478515625000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.115332031250e-04 9.000000000000e-01 3.841699218750e-04 3.100000000000e+00 2.478515625000e-05 2.000000000000e-01 -2.507194641007e-15 -2.023142090143e-11 -4.694386135849e-14 -3.788062571402e-10 -2.197388124093e-11 -1.773148494146e-07 9.004654740293e-11 7.266167418487e-07 7.278407586723e-10 5.873198872186e-06 1.734640724796e-08 1.399741609292e-04 -2.703504967257e-07 -2.181551683586e-03 -6.832148373047e-07 -5.513096874704e-03 8.441571643179e-06 6.811796188034e-02 2.044362802039e-05 1.649667067997e-01 -5.919672805052e-05 -4.776788772556e-01 -1.985858565104e-04 -1.602457975309e+00 2.484719794621e-04 2.005006359095e+00 1.761513705814e-03 1.421426347323e+01 -1.395897753034e-03 -1.126398186846e+01 -4.820813065770e-03 -3.890080834790e+01 -1.509497416605e-03 -1.218065685266e+01 -4.440210164085e-03 -3.582959186779e+01 -2.032098378005e-03 -1.639770479966e+01 0.000000000000e+00 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7.790709046455e-05 1.400000000000e+00 8.347188264059e-05 1.500000000000e+00 1.669437652812e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.564792176039e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112958435208e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.121271393643e-05 1.100000000000e+00 1.836381418093e-04 3.300000000000e+00 1.112958435208e-05 2.000000000000e-01 1.731606719203e-18 3.111718577127e-14 -6.147000074372e-19 -1.104623475579e-14 2.950563071301e-14 5.302198137794e-10 -2.387501799187e-13 -4.290370104866e-09 -4.346294210517e-12 -7.810344165649e-08 -6.617144658184e-11 -1.189109035675e-06 5.847860981854e-09 1.050867812644e-04 1.502491998901e-09 2.699996606110e-05 -2.940132830583e-07 -5.283454866909e-03 -2.462266392092e-07 -4.424722998092e-03 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6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.709209911173e+01 1.700000000000e+00 2.720897615708e+01 6.000000000000e-01 3.627863487611e+01 8.000000000000e-01 4.988312295465e+01 1.100000000000e+00 2.448807854137e+02 5.400000000000e+00 1.360448807854e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.895278167368e+01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.534829359514e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.267414679757e+01 5.000000000000e-01 3.174380551660e+01 7.000000000000e-01 4.534829359514e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-2.420887813329e-09 3.697784799627e-08 8.154187305568e-10 -1.212196504552e-08 -2.673080745605e-10 4.264084154886e-09 9.402964955980e-11 -1.440262441663e-09 -3.176001404862e-11 -4.035139808194e-11 -8.898107267760e-13 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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7.840642722117e+01 3.700000000000e+00 2.331001890359e+01 1.100000000000e+00 5.815379486571e+01 2.744278098480e+00 0.000000000000e+00 0.000000000000e+00 1.483364839319e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.390548204159e+01 1.600000000000e+00 8.476370510397e+00 4.000000000000e-01 1.271455576560e+01 6.000000000000e-01 2.119092627599e+01 1.000000000000e+00 1.017164461248e+02 4.800000000000e+00 4.238185255198e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.331001890359e+01 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.119092627599e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.357277882798e+00 3.000000000000e-01 1.907183364839e+01 9.000000000000e-01 2.119092627599e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 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1.990815828041e-01 1.800000000000e+00 2.212017586712e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -2.516431301251e-04 -2.275236251617e-03 -3.452109259084e-04 -3.121231295647e-03 -4.018688140253e-03 -3.633504692181e-02 -7.773743258016e-03 -7.028645074717e-02 3.946962372878e-02 3.568653700212e-01 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2.177886977887e-01 0.000000000000e+00 8.058181818182e-03 3.700000000000e+00 8.493759213759e-03 3.900000000000e+00 1.825649569587e-03 8.382664427141e-01 8.711547911548e-04 4.000000000000e-01 2.395675675676e-03 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 5.226928746929e-03 2.400000000000e+00 4.355773955774e-04 2.000000000000e-01 4.355773955774e-04 2.000000000000e-01 1.524520884521e-03 7.000000000000e-01 5.880294840295e-03 2.700000000000e+00 1.306732186732e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.306732186732e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.355773955774e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.533660933661e-04 3.000000000000e-01 5.662506142506e-03 2.600000000000e+00 4.355773955774e-04 2.000000000000e-01 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1.382754013634e-08 1.207533895927e-05 -1.547496539481e-07 -1.351400543284e-04 -2.547469856719e-06 -2.224659028655e-03 1.819143188067e-05 1.588624613978e-02 7.938567123513e-05 6.932606083377e-02 -2.148233230505e-04 -1.876012954303e-01 -7.704656075107e-04 -6.728335825040e-01 9.949724121999e-04 8.688912860835e-01 5.622462275173e-03 4.909993902675e+00 -1.634607960305e-03 -1.427473360524e+00 -2.192002132601e-02 -1.914235539338e+01 -9.324166826834e-03 -8.142625068279e+00 5.222538503219e-03 4.560747756462e+00 -3.494575222450e-03 -3.051748894863e+00 1.692760428250e-03 1.478256851646e+00 6.798183452424e-05 5.936729793289e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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6.483013293944e-04 2.100000000000e+00 1.234859675037e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.087149187592e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.087149187592e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.161004431315e-04 7.000000000000e-01 1.018759231905e-03 3.300000000000e+00 6.174298375185e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.735839740977e+00 2.404973745697e-03 1.505890408317e+01 -1.493716096988e-03 -9.353003321670e+00 -7.829060018068e-03 -4.902218333337e+01 -3.408411459665e-03 -2.134199649328e+01 -3.555934514381e-04 -2.226572197469e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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6.612610837438e-05 3.700000000000e+00 1.787192118227e-05 1.000000000000e+00 1.257448729101e-05 7.035890077382e-01 1.429753694581e-05 8.000000000000e-01 2.323349753695e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 5.897733990148e-05 3.300000000000e+00 1.072315270936e-05 6.000000000000e-01 1.072315270936e-05 6.000000000000e-01 2.859507389163e-05 1.600000000000e+00 3.753103448276e-05 2.100000000000e+00 8.935960591133e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.787192118227e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.574384236453e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.144630541872e-05 1.200000000000e+00 7.506206896552e-05 4.200000000000e+00 3.574384236453e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 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-5.999338962174e-08 -3.356851734623e-03 3.875037681740e-06 2.168226707258e-01 4.844851270716e-06 2.710873230307e-01 -4.238766613484e-05 -2.371746478879e+00 -7.515956474469e-05 -4.205455248945e+00 2.687967287572e-04 1.504016977335e+01 5.076013538412e-04 2.840217057050e+01 -8.307589060404e-04 -4.648402919686e+01 -1.739228323074e-03 -9.731624850718e+01 1.439633595428e-03 8.055281694373e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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+ 70 JET 2.250000000000e+00 1.525225000000e+04 2.760000000000e+03 5.546112988894e+01 0.000000000000e+00 2.052061805891e+00 3.700000000000e+00 1.164683727668e+00 2.100000000000e+00 1.098628022124e+00 1.980897295680e+00 0.000000000000e+00 0.000000000000e+00 5.546112988894e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.552911636890e+00 2.800000000000e+00 2.773056494447e-01 5.000000000000e-01 3.882279092226e-01 7.000000000000e-01 4.991501690005e-01 9.000000000000e-01 3.383128923225e+00 6.100000000000e+00 2.551211974891e+00 4.600000000000e+00 3.882279092226e-01 7.000000000000e-01 1.663833896668e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.774756156446e+00 3.200000000000e+00 4.991501690005e-01 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.209946885563e-01 1.300000000000e+00 2.218445195558e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.218445195558e+00 4.000000000000e+00 1.109222597779e+00 2.000000000000e+00 3.327667793337e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.172674418605e-01 1.700000000000e+00 1.866279069767e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.345348837209e-01 3.400000000000e+00 4.105813953488e-01 2.200000000000e+00 1.679651162791e-01 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-9.972365170608e-04 -5.343448004189e-03 1.761932487947e-05 9.440884359095e-05 1.595406456305e-05 8.548595342194e-05 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 72 JET 2.250000000000e+00 2.673225000000e+04 2.760000000000e+03 4.482993197279e+00 0.000000000000e+00 1.658707482993e-01 3.700000000000e+00 1.479387755102e-01 3.300000000000e+00 1.061807839721e-01 2.368524316220e+00 0.000000000000e+00 0.000000000000e+00 6.724489795918e-02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 1.479387755102e-01 3.300000000000e+00 8.965986394558e-03 2.000000000000e-01 4.482993197279e-03 1.000000000000e-01 1.344897959184e-02 3.000000000000e-01 2.555306122449e-01 5.700000000000e+00 2.331156462585e-01 5.200000000000e+00 2.689795918367e-02 6.000000000000e-01 4.482993197279e-03 1.000000000000e-01 0.000000000000e+00 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-2.540022915810e-01 -7.820851561776e-02 -1.744560211807e+00 2.165554720413e-02 4.830600059191e-01 -8.286470681614e-01 -1.848423657355e+01 -6.211848187414e-01 -1.385647471244e+01 -1.343353228986e-03 -2.996554243718e-02 -1.287948893846e-04 -2.872966424817e-03 -3.774915584906e-05 -8.420524901080e-04 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 73 JET 2.250000000000e+00 3.422500000000e+04 2.760000000000e+03 5.961013645224e-01 0.000000000000e+00 2.205575048733e-02 3.700000000000e+00 1.788304093567e-02 3.000000000000e+00 1.565456721113e-02 2.626158593627e+00 5.961013645224e-04 1.000000000000e-01 1.192202729045e-02 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.503625730994e-02 4.200000000000e+00 1.192202729045e-03 2.000000000000e-01 2.384405458090e-03 4.000000000000e-01 2.980506822612e-03 5.000000000000e-01 4.172709551657e-02 7.000000000000e+00 4.113099415205e-02 6.900000000000e+00 5.961013645224e-03 1.000000000000e+00 5.961013645224e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086354775828e-02 3.500000000000e+00 5.961013645224e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.430643274854e-02 2.400000000000e+00 5.961013645224e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.145964912281e-02 3.600000000000e+00 2.205575048733e-02 3.700000000000e+00 4.768810916179e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -5.743734745635e-04 -9.635500080153e-02 -3.379320516581e-04 -5.669036707018e-02 -3.272424128227e-02 -5.489710849511e+00 1.149214999389e-02 1.927885201722e+00 2.280386381199e-02 3.825501025360e+00 6.623839736722e-03 1.111193520255e+00 -7.904392237434e-02 -1.326014786725e+01 1.493361702989e-03 2.505214367670e-01 1.430532795260e-03 2.399814663074e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 74 JET 2.250000000000e+00 4.326400000000e+04 2.760000000000e+03 7.763556424035e-02 0.000000000000e+00 2.872515876893e-03 3.700000000000e+00 2.717244748412e-03 3.500000000000e+00 2.199410554025e-03 2.832993584250e+00 2.329066927211e-04 3.000000000000e-01 1.630346849047e-03 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 3.493600390816e-03 4.500000000000e+00 7.763556424035e-05 1.000000000000e-01 7.763556424035e-05 1.000000000000e-01 1.552711284807e-04 2.000000000000e-01 5.822667318026e-03 7.500000000000e+00 6.521387396190e-03 8.400000000000e+00 9.316267708842e-04 1.200000000000e+00 7.763556424035e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.785617977528e-03 2.300000000000e+00 7.763556424035e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.707982413288e-03 2.200000000000e+00 7.763556424035e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.561973619932e-03 3.300000000000e+00 3.260693698095e-03 4.200000000000e+00 7.763556424035e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -1.541649512665e-05 -1.985751669031e-02 6.335751784468e-05 8.160888436199e-02 -5.406767451059e-05 -6.964292079233e-02 5.092218603487e-05 6.559131312193e-02 6.071398716525e-03 7.820383320367e+00 4.762546925990e-03 6.134491289644e+00 -8.097224505692e-03 -1.042978766873e+01 -2.025068049648e-02 -2.608428327228e+01 -8.107021810452e-03 -1.044240727787e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 75 JET 2.250000000000e+00 5.405625000000e+04 2.760000000000e+03 2.990205680705e-02 0.000000000000e+00 1.106376101861e-03 3.700000000000e+00 1.883829578844e-03 6.300000000000e+00 9.390135894763e-04 3.140297657567e+00 3.588246816846e-04 1.200000000000e+00 6.279431929481e-04 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.422066601371e-03 8.100000000000e+00 1.495102840353e-04 5.000000000000e-01 1.196082272282e-04 4.000000000000e-01 8.970617042116e-05 3.000000000000e-01 2.750989226249e-03 9.200000000000e+00 3.498540646425e-03 1.170000000000e+01 8.073555337904e-04 2.700000000000e+00 2.990205680705e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913731635651e-03 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.093143976494e-03 7.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.824025465230e-03 6.100000000000e+00 2.511772771792e-03 8.400000000000e+00 6.877473065622e-04 2.300000000000e+00 0.000000000000e+00 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7.870239774330e-01 2.000000000000e-01 2.675881523272e+01 6.800000000000e+00 4.328631875882e+00 1.100000000000e+00 3.148095909732e+00 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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5.500000000000e+00 1.124043457723e-02 3.000000000000e-01 2.997449220595e-02 8.000000000000e-01 6.369579593765e-02 1.700000000000e+00 3.334662257912e-01 8.900000000000e+00 3.784279641001e-01 1.010000000000e+01 0.000000000000e+00 0.000000000000e+00 1.198979688238e-01 3.200000000000e+00 3.746811525744e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.009088332546e-01 1.070000000000e+01 3.746811525744e-03 1.000000000000e-01 9.741709966934e-02 2.600000000000e+00 1.985810108644e-01 5.300000000000e+00 3.746811525744e-03 1.000000000000e-01 1.873405762872e-01 5.000000000000e+00 1.423788379783e-01 3.800000000000e+00 5.994898441190e-02 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 3.453632877451e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.554744525547e-03 1.000000000000e-01 7.664233576642e-03 3.000000000000e-01 3.321167883212e-02 1.300000000000e+00 1.021897810219e-02 4.000000000000e-01 3.065693430657e-02 1.200000000000e+00 3.071011202963e-02 1.202081528017e+00 3.071011202963e-02 1.202081528017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 JET 2.500000000000e-01 2.016010000000e+05 7.000000000000e+03 1.488408787025e+00 1.038555392875e-02 3.264031234749e-02 2.200000000000e+00 1.483650561249e-02 1.000000000000e+00 2.401518902716e-03 1.618655339363e-01 3.339861856598e-02 2.251110836898e+00 4.823005458693e-02 3.250769139758e+00 3.933073408600e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 2.005673876875e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.483650561249e-03 1.000000000000e-01 4.450951683748e-03 3.000000000000e-01 1.780380673499e-02 1.200000000000e+00 5.934602244998e-03 4.000000000000e-01 1.709420429980e-02 1.152171862180e+00 1.942251024071e-02 1.309102746159e+00 1.942251024071e-02 1.309102746159e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 JET 2.500000000000e-01 2.376562500000e+05 7.000000000000e+03 8.554523227384e-01 6.843618581907e-03 1.881995110024e-02 2.200000000000e+00 8.554523227384e-03 1.000000000000e+00 1.387390895140e-03 1.621821413377e-01 1.925717994166e-02 2.251110836898e+00 2.866403607338e-02 3.350746185553e+00 2.353271442960e-02 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 1.112088019560e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.554523227384e-04 1.000000000000e-01 2.566356968215e-03 3.000000000000e-01 9.409975550122e-03 1.100000000000e+00 3.054575768433e-03 3.570714214271e-01 9.409975550122e-03 1.100000000000e+00 1.209792276780e-02 1.414213562373e+00 1.209792276780e-02 1.414213562373e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 JET 2.500000000000e-01 2.782562500000e+05 7.000000000000e+03 5.072870588235e-01 2.025098039216e-03 1.113803921569e-02 2.200000000000e+00 5.062745098039e-03 1.000000000000e+00 4.963475586313e-04 9.803921568627e-02 1.164431372549e-02 2.300000000000e+00 1.747013885890e-02 3.450724561596e+00 1.468196078431e-02 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 6.581568627451e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.062745098039e-04 1.000000000000e-01 1.315339760336e-03 2.598076211353e-01 5.327922871997e-03 1.052378258992e+00 1.518823529412e-03 3.000000000000e-01 5.327922871997e-03 1.052378258992e+00 7.875783058533e-03 1.555634918610e+00 7.875783058533e-03 1.555634918610e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 JET 2.500000000000e-01 3.249000000000e+05 7.000000000000e+03 3.028135493373e-01 1.511045655376e-03 6.648600883652e-03 2.200000000000e+00 3.022091310751e-03 1.000000000000e+00 2.569668971690e-04 8.502949472600e-02 6.803062499727e-03 2.251110836898e+00 1.073055217543e-02 3.550704155516e+00 9.219855289048e-03 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 3.783653493435e-03 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.022091310751e-04 1.000000000000e-01 6.044182621502e-04 2.000000000000e-01 3.022091310751e-03 1.000000000000e+00 9.066273932253e-04 3.000000000000e-01 3.022091310751e-03 1.000000000000e+00 5.128659022073e-03 1.697056274848e+00 5.128659022073e-03 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 JET 2.500000000000e-01 3.782250000000e+05 7.000000000000e+03 1.783767522498e-01 8.903638151426e-04 3.917600786627e-03 2.200000000000e+00 1.780727630285e-03 1.000000000000e+00 1.750961288383e-04 9.832841691249e-02 4.095673549656e-03 2.300000000000e+00 6.410619469027e-03 3.600000000000e+00 5.610705133301e-03 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 2.229468148502e-03 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.780727630285e-04 1.000000000000e-01 3.561455260570e-04 2.000000000000e-01 1.602654867257e-03 9.000000000000e-01 5.342182890855e-04 3.000000000000e-01 1.780727630285e-03 1.000000000000e+00 3.337973824223e-03 1.874499933316e+00 3.337973824223e-03 1.874499933316e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 JET 2.500000000000e-01 4.382440000000e+05 7.000000000000e+03 1.059941341884e-01 7.403249630724e-04 2.326735598227e-03 2.200000000000e+00 1.057607090103e-03 1.000000000000e+00 9.019346206324e-05 8.528068968829e-02 2.432496307238e-03 2.300000000000e+00 3.913146233383e-03 3.700000000000e+00 3.493306797187e-03 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 1.269128508124e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.057607090103e-04 1.000000000000e-01 2.115214180207e-04 2.000000000000e-01 9.020712725414e-04 8.529361054616e-01 2.747743821756e-04 2.598076211353e-01 1.007506067977e-03 9.526279441629e-01 2.132003164024e-03 2.015874500062e+00 2.132003164024e-03 2.015874500062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 JET 2.500000000000e-01 5.062322500000e+05 7.000000000000e+03 6.297490389354e-02 5.040512567767e-04 1.386140956136e-03 2.200000000000e+00 6.300640709709e-04 1.000000000000e+00 5.378526283614e-05 8.536475148195e-02 1.418344058103e-03 2.251110836898e+00 2.394243469690e-03 3.800000000000e+00 2.174177565078e-03 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 7.560768851651e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.260128141942e-04 2.000000000000e-01 5.040512567767e-04 8.000000000000e-01 1.636954474418e-04 2.598076211353e-01 5.670576638738e-04 9.000000000000e-01 1.381119989213e-03 2.192031021678e+00 1.381119989213e-03 2.192031021678e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 JET 2.500000000000e-01 5.829322500000e+05 7.000000000000e+03 3.714251043715e-02 4.080750246792e-04 8.161500493583e-04 2.200000000000e+00 3.709772951629e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.721912110409e-04 2.351063589102e+00 1.446811451135e-03 3.900000000000e+00 1.336548357813e-03 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 4.644629809281e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.419545903258e-05 2.000000000000e-01 2.794668265219e-04 7.533259586660e-01 9.638272855149e-05 2.598076211353e-01 3.164199293509e-04 8.529361054616e-01 8.789696194173e-04 2.369335349840e+00 8.789696194173e-04 2.369335349840e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 21 JET 2.500000000000e-01 6.691240000000e+05 7.000000000000e+03 2.192471582530e-02 2.845355731225e-04 4.815217391304e-04 2.200000000000e+00 2.188735177866e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.364634124109e-04 2.451020195755e+00 8.865728438507e-04 4.050617236916e+00 8.220878838910e-04 3.755995207665e+00 0.000000000000e+00 0.000000000000e+00 2.845355731225e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.377470355731e-05 2.000000000000e-01 1.532114624506e-04 7.000000000000e-01 4.377470355731e-05 2.000000000000e-01 1.866851258495e-04 8.529361054616e-01 5.650053573842e-04 2.581424025611e+00 5.650053573842e-04 2.581424025611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 22 JET 2.500000000000e-01 7.665002500000e+05 7.000000000000e+03 1.296320576436e-02 2.201088031652e-04 2.848466864491e-04 2.200000000000e+00 1.294757665678e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.107418397626e-04 2.400000000000e+00 5.374024230457e-04 4.150602365922e+00 5.052873696958e-04 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 1.683184965381e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.589515331355e-05 2.000000000000e-01 9.063303659743e-05 7.000000000000e-01 2.589515331355e-05 2.000000000000e-01 1.035806132542e-04 8.000000000000e-01 3.616930509476e-04 2.793519285776e+00 3.616930509476e-04 2.793519285776e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 23 JET 2.500000000000e-01 8.760960000000e+05 7.000000000000e+03 7.458008529275e-03 1.637148514851e-04 1.637148514851e-04 2.200000000000e+00 7.441584158416e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.863370295763e-04 2.503996805110e+00 3.237516757913e-04 4.350574674684e+00 3.017972965925e-04 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 9.674059405941e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.234047124966e-05 1.658312395178e-01 4.865566998958e-05 6.538348415311e-01 1.488316831683e-05 2.000000000000e-01 5.605938520132e-05 7.533259586660e-01 2.236657221682e-04 3.005619736427e+00 2.236657221682e-04 3.005619736427e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 24 JET 2.500000000000e-01 9.990002500000e+05 7.000000000000e+03 4.174406553461e-03 1.209722497522e-04 9.177205153617e-05 2.200000000000e+00 4.171456888008e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.044531472023e-04 2.503996805110e+00 1.878082361250e-04 4.502221673796e+00 1.775076221981e-04 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 5.639186427930e-05 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.917578663333e-06 1.658312395178e-01 2.502874132805e-05 6.000000000000e-01 8.342913776016e-06 2.000000000000e-01 3.142466759192e-05 7.533259586660e-01 1.342259840833e-04 3.217724351153e+00 1.342259840833e-04 3.217724351153e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 25 JET 2.500000000000e-01 1.137422250000e+06 7.000000000000e+03 2.307679516669e-03 8.752428146680e-05 5.067195242815e-05 2.200000000000e+00 2.303270564916e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.105839507150e-05 2.650943228362e+00 1.072134719188e-04 4.654836194755e+00 1.028185243014e-04 4.464022849404e+00 0.000000000000e+00 0.000000000000e+00 3.113677657047e-05 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.819542127248e-06 1.658312395178e-01 1.381962338949e-05 6.000000000000e-01 4.606541129832e-06 2.000000000000e-01 1.612289395441e-05 7.000000000000e-01 7.983748453697e-05 3.466266002487e+00 7.983748453697e-05 3.466266002487e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 26 JET 2.500000000000e-01 1.291632250000e+06 7.000000000000e+03 1.458371765736e-03 6.849503968254e-05 3.206150793651e-05 2.200000000000e+00 1.457341269841e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.934821428571e-05 2.700000000000e+00 7.007372081973e-05 4.808326112069e+00 6.796196597074e-05 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 2.115656006554e-05 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.457341269841e-06 1.000000000000e-01 8.081348277736e-06 5.545268253205e-01 2.416727091782e-06 1.658312395178e-01 1.020138888889e-05 7.000000000000e-01 5.410594135719e-05 3.712647303475e+00 5.410594135719e-05 3.712647303475e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 27 JET 2.500000000000e-01 1.464100000000e+06 7.000000000000e+03 7.976516348082e-04 5.020615384615e-05 1.753230769231e-05 2.200000000000e+00 7.969230769231e-06 1.000000000000e+00 6.850179945186e-07 8.595785645504e-02 2.271929717014e-05 2.850877058030e+00 3.990985677067e-05 5.007993610220e+00 3.875332943131e-05 4.862869523234e+00 0.000000000000e+00 0.000000000000e+00 1.156911650926e-05 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.969230769231e-07 1.000000000000e-01 3.984615384615e-06 5.000000000000e-01 1.321547416465e-06 1.658312395178e-01 5.210560737125e-06 6.538348415311e-01 3.156660492903e-05 3.961060464068e+00 3.156660492903e-05 3.961060464068e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 28 JET 2.500000000000e-01 1.657656250000e+06 7.000000000000e+03 3.358888238386e-04 3.088897715988e-05 7.386494538232e-06 2.200000000000e+00 3.357497517378e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.007249255214e-05 3.000000000000e+00 1.751700123725e-05 5.217278984298e+00 1.684781414915e-05 5.017967716118e+00 0.000000000000e+00 0.000000000000e+00 5.058580071995e-06 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.357497517378e-07 1.000000000000e-01 1.678748758689e-06 5.000000000000e-01 5.567779749847e-07 1.658312395178e-01 2.195248857216e-06 6.538348415311e-01 1.424861187349e-05 4.243819034785e+00 1.424861187349e-05 4.243819034785e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 29 JET 2.500000000000e-01 1.872792250000e+06 7.000000000000e+03 1.780377232903e-04 2.244590163934e-05 3.919125683060e-06 2.200000000000e+00 1.781420765027e-06 1.000000000000e+00 1.532792486182e-07 8.604325919368e-02 5.706110672397e-06 3.203123475609e+00 9.672310948901e-06 5.429548784199e+00 9.393933539212e-06 5.273281710662e+00 0.000000000000e+00 0.000000000000e+00 2.764073951712e-06 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.781420765027e-07 1.000000000000e-01 8.907103825137e-07 5.000000000000e-01 2.954152135672e-07 1.658312395178e-01 1.164754963602e-06 6.538348415311e-01 8.063758070095e-06 4.526588119103e+00 8.063758070095e-06 4.526588119103e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 30 JET 2.500000000000e-01 2.112662250000e+06 7.000000000000e+03 9.441535899234e-05 1.576871769384e-05 2.077316103380e-06 2.200000000000e+00 9.442345924453e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.258293500059e-06 3.450724561596e+00 5.314623376051e-06 5.628498911788e+00 5.220686638507e-06 5.529014378712e+00 0.000000000000e+00 0.000000000000e+00 1.516665332620e-06 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.442345924453e-08 1.000000000000e-01 4.301193268802e-07 4.555216789572e-01 1.565835928608e-07 1.658312395178e-01 5.665407554672e-07 6.000000000000e-01 4.607922857976e-06 4.880061475023e+00 4.607922857976e-06 4.880061475023e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 31 JET 2.500000000000e-01 2.379306250000e+06 7.000000000000e+03 4.303357713624e-05 9.351178518150e-06 9.480457483839e-07 2.200000000000e+00 4.309298856290e-07 1.000000000000e+00 3.711548763846e-08 8.612883180353e-02 1.638667199009e-06 3.802630668366e+00 2.543125335841e-06 5.901482864501e+00 2.450150007240e-06 5.685727745856e+00 0.000000000000e+00 0.000000000000e+00 7.168865442408e-07 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.309298856290e-08 1.000000000000e-01 1.723719542516e-07 4.000000000000e-01 4.309298856290e-08 1.000000000000e-01 2.585579313774e-07 6.000000000000e-01 2.240576418018e-06 5.199399003731e+00 2.240576418018e-06 5.199399003731e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 32 JET 2.500000000000e-01 2.842596000000e+06 7.000000000000e+03 1.615864067860e-05 4.581502487562e-06 3.561592039801e-07 2.200000000000e+00 1.618905472637e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.976336863836e-07 4.309292285283e+00 1.022701168927e-06 6.317238320659e+00 9.874991634588e-07 6.099795078525e+00 0.000000000000e+00 0.000000000000e+00 2.853823171275e-07 1.762810256380e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.618905472637e-08 1.000000000000e-01 6.475621890547e-08 4.000000000000e-01 1.618905472637e-08 1.000000000000e-01 8.977265122352e-08 5.545268253205e-01 9.332782945496e-07 5.764872071434e+00 9.332782945496e-07 5.764872071434e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 33 JET 2.500000000000e-01 3.802500000000e+06 7.000000000000e+03 2.041402650286e-06 1.482495019920e-06 4.498605577689e-08 2.200000000000e+00 2.044820717131e-08 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.155414180429e-07 5.650442460551e+00 1.447460110418e-07 7.078665128398e+00 1.384903799078e-07 6.772739475279e+00 0.000000000000e+00 0.000000000000e+00 3.927972328521e-08 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.044820717131e-09 1.000000000000e-01 7.301470400298e-09 3.570714214271e-01 2.044820717131e-09 1.000000000000e-01 1.022410358566e-08 5.000000000000e-01 1.374219933547e-07 6.720491053487e+00 1.374219933547e-07 6.720491053487e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 34 JET 7.500000000000e-01 1.525225000000e+04 7.000000000000e+03 2.513356977529e+03 3.024215246637e+01 5.544394618834e+01 2.200000000000e+00 2.520179372197e+01 1.000000000000e+00 4.294476060247e+01 1.704035874439e+00 8.192521329793e+01 3.250769139758e+00 6.562152206507e+01 2.603843313258e+00 3.406905954728e+01 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 7.184721554317e+01 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.182539358416e+00 8.660254037844e-02 2.520179372197e+00 1.000000000000e-01 1.898516541571e+01 7.533259586660e-01 8.316591928251e+01 3.300000000000e+00 3.910340719660e+01 1.551612064918e+00 6.048430493274e+01 2.400000000000e+00 6.363141003766e+00 2.524876234591e-01 0.000000000000e+00 0.000000000000e+00 6.363141003766e+00 2.524876234591e-01 0.000000000000e+00 0.000000000000e+00 + 35 JET 7.500000000000e-01 2.044900000000e+04 7.000000000000e+03 1.123990356051e+03 1.688868613139e+01 2.477007299270e+01 2.200000000000e+00 1.125912408759e+01 1.000000000000e+00 1.438209281262e+01 1.277372262774e+00 3.547517556326e+01 3.150793550838e+00 3.044130693411e+01 2.703701166919e+00 1.634513068243e+01 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 2.927372262774e+01 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.750687484215e-01 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 7.361607613589e+00 6.538348415311e-01 3.322395631884e+01 2.950847335936e+00 1.522065346705e+01 1.351850583460e+00 2.477007299270e+01 2.200000000000e+00 3.626591658024e+00 3.221024681681e-01 0.000000000000e+00 0.000000000000e+00 3.626591658024e+00 3.221024681681e-01 0.000000000000e+00 0.000000000000e+00 + 36 JET 7.500000000000e-01 2.673225000000e+04 7.000000000000e+03 5.323691312384e+02 9.059334565619e+00 1.172384473198e+01 2.200000000000e+00 5.329020332717e+00 1.000000000000e+00 5.417673166348e+00 1.016635859519e+00 1.440807849210e+01 2.703701166919e+00 1.465964967842e+01 2.750908940696e+00 8.268572242439e+00 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 1.252886566983e+01 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.615066985417e-01 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 3.197412199630e+00 6.000000000000e-01 1.412693036482e+01 2.650943228362e+00 6.671924943744e+00 1.251998402555e+00 1.065804066543e+01 2.000000000000e+00 1.884093207173e+00 3.535533905933e-01 0.000000000000e+00 0.000000000000e+00 1.884093207173e+00 3.535533905933e-01 0.000000000000e+00 0.000000000000e+00 + 37 JET 7.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.659626342830e+02 2.404483886035e+00 5.877627276973e+00 2.200000000000e+00 2.671648762261e+00 1.000000000000e+00 2.128674162021e+00 7.967642274279e-01 7.142601876122e+00 2.673480877059e+00 7.349462466502e+00 2.750908940696e+00 4.541802895843e+00 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 5.747150567575e+00 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.313715698107e-01 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 1.481500906508e+00 5.545268253205e-01 6.411957029426e+00 2.400000000000e+00 2.938813638487e+00 1.100000000000e+00 5.076132648295e+00 1.900000000000e+00 1.133484574046e+00 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 1.133484574046e+00 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 + 38 JET 7.500000000000e-01 4.326400000000e+04 7.000000000000e+03 1.377436380773e+02 1.513666352498e+00 3.027332704995e+00 2.200000000000e+00 1.376060320452e+00 1.000000000000e+00 9.078626053880e-01 6.597549481621e-01 3.521074591821e+00 2.558808316385e+00 3.852968897267e+00 2.800000000000e+00 2.476908576814e+00 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 2.752120640905e+00 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.191703194652e-01 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 6.880301602262e-01 5.000000000000e-01 3.027332704995e+00 2.200000000000e+00 1.376060320452e+00 1.000000000000e+00 2.476908576814e+00 1.800000000000e+00 6.811151087395e-01 4.949747468306e-01 0.000000000000e+00 0.000000000000e+00 6.811151087395e-01 4.949747468306e-01 0.000000000000e+00 0.000000000000e+00 + 39 JET 7.500000000000e-01 5.405625000000e+04 7.000000000000e+03 7.217082581870e+01 8.664831514001e-01 1.588552444234e+00 2.200000000000e+00 7.220692928334e-01 1.000000000000e+00 3.800728928489e-01 5.263662319131e-01 1.697630823189e+00 2.351063589102e+00 2.058530781246e+00 2.850877058030e+00 1.371931656383e+00 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 1.371931656383e+00 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.220692928334e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.289182165949e-01 4.555216789572e-01 1.444138585667e+00 2.000000000000e+00 6.498623635501e-01 9.000000000000e-01 1.227517797817e+00 1.700000000000e+00 4.084640747593e-01 5.656854249492e-01 0.000000000000e+00 0.000000000000e+00 4.084640747593e-01 5.656854249492e-01 0.000000000000e+00 0.000000000000e+00 + 40 JET 7.500000000000e-01 6.682225000000e+04 7.000000000000e+03 3.868206098426e+01 5.424749163880e-01 8.524605828954e-01 2.200000000000e+00 3.874820831343e-01 1.000000000000e+00 1.686636302677e-01 4.352811074603e-01 9.315701091466e-01 2.404163056034e+00 1.123698041089e+00 2.900000000000e+00 7.749641662685e-01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.587195413282e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.874820831343e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.549928332537e-01 4.000000000000e-01 6.974677496417e-01 1.800000000000e+00 3.099856665074e-01 8.000000000000e-01 6.199713330148e-01 1.600000000000e+00 2.610116817411e-01 6.736096792654e-01 0.000000000000e+00 0.000000000000e+00 2.610116817411e-01 6.736096792654e-01 0.000000000000e+00 0.000000000000e+00 + 41 JET 7.500000000000e-01 8.179600000000e+04 7.000000000000e+03 2.131327892463e+01 3.413538166107e-01 4.693614978397e-01 2.200000000000e+00 2.133461353817e-01 1.000000000000e+00 7.314431859502e-02 3.428434195172e-01 4.916228281833e-01 2.304343724361e+00 6.400384061450e-01 3.000000000000e+00 4.480268843015e-01 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 3.413538166107e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.133461353817e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.533845415266e-02 4.000000000000e-01 3.626884301488e-01 1.700000000000e+00 1.706769083053e-01 8.000000000000e-01 3.200192030725e-01 1.500000000000e+00 1.659443489751e-01 7.778174593052e-01 0.000000000000e+00 0.000000000000e+00 1.659443489751e-01 7.778174593052e-01 0.000000000000e+00 0.000000000000e+00 + 42 JET 7.500000000000e-01 9.922500000000e+04 7.000000000000e+03 1.197685631630e+01 9.581485053038e-02 2.634908389585e-01 2.200000000000e+00 1.197685631630e-01 1.000000000000e+00 3.464857179257e-02 2.892960462874e-01 2.696123104559e-01 2.251110836898e+00 3.653922754125e-01 3.050819562019e+00 2.634908389585e-01 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.916297010608e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.197685631630e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.276593109089e-02 3.570714214271e-01 1.858343476016e-01 1.551612064918e+00 8.383799421408e-02 7.000000000000e-01 1.676759884282e-01 1.400000000000e+00 1.016269958226e-01 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 1.016269958226e-01 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 + 43 JET 7.500000000000e-01 1.197160000000e+05 7.000000000000e+03 6.733350435624e+00 6.069119070668e-02 1.483562439497e-01 2.200000000000e+00 6.743465634076e-02 1.000000000000e+00 1.305608060808e-02 1.936108422072e-01 1.553926271432e-01 2.304343724361e+00 2.090474346563e-01 3.100000000000e+00 1.585431651663e-01 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 1.011519845111e-01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.743465634076e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.023039690223e-02 3.000000000000e-01 9.440851887706e-02 1.400000000000e+00 4.046079380445e-02 6.000000000000e-01 9.440851887706e-02 1.400000000000e+00 6.675690389975e-02 9.899494936612e-01 0.000000000000e+00 0.000000000000e+00 6.675690389975e-02 9.899494936612e-01 0.000000000000e+00 0.000000000000e+00 + 44 JET 7.500000000000e-01 1.432622500000e+05 7.000000000000e+03 3.829043224866e+00 2.297425934920e-02 8.423895094706e-02 2.200000000000e+00 3.829043224866e-02 1.000000000000e+00 6.167799748875e-03 1.610793972975e-01 8.806799417193e-02 2.300000000000e+00 1.225293831957e-01 3.200000000000e+00 9.572608062166e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 5.360660514813e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.829043224866e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.148712967460e-02 3.000000000000e-01 4.977756192326e-02 1.300000000000e+00 2.297425934920e-02 6.000000000000e-01 4.977756192326e-02 1.300000000000e+00 4.061313644639e-02 1.060660171780e+00 0.000000000000e+00 0.000000000000e+00 4.061313644639e-02 1.060660171780e+00 0.000000000000e+00 0.000000000000e+00 + 45 JET 7.500000000000e-01 1.701562500000e+05 7.000000000000e+03 2.212634193863e+00 1.547296639065e-02 4.862932294204e-02 2.200000000000e+00 2.210423770093e-02 1.000000000000e+00 3.570943143244e-03 1.615501602706e-01 5.083974671213e-02 2.300000000000e+00 7.185577377603e-02 3.250769139758e+00 5.747101802241e-02 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 3.094593278130e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.210423770093e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.631271310278e-03 3.000000000000e-01 2.767447029125e-02 1.251998402555e+00 1.225739275842e-02 5.545268253205e-01 2.767447029125e-02 1.251998402555e+00 2.657109583118e-02 1.202081528017e+00 0.000000000000e+00 0.000000000000e+00 2.657109583118e-02 1.202081528017e+00 0.000000000000e+00 0.000000000000e+00 + 46 JET 7.500000000000e-01 2.016010000000e+05 7.000000000000e+03 1.271824707031e+00 1.017968750000e-02 2.799414062500e-02 2.200000000000e+00 1.272460937500e-02 1.000000000000e+00 1.242637634277e-03 9.765625000000e-02 2.864450605936e-02 2.251110836898e+00 4.263693632594e-02 3.350746185553e+00 3.500424169655e-02 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 1.781445312500e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.272460937500e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.817382812500e-03 3.000000000000e-01 1.526953125000e-02 1.200000000000e+00 6.362304687500e-03 5.000000000000e-01 1.526953125000e-02 1.200000000000e+00 1.709554939632e-02 1.343502884254e+00 0.000000000000e+00 0.000000000000e+00 1.709554939632e-02 1.343502884254e+00 0.000000000000e+00 0.000000000000e+00 + 47 JET 7.500000000000e-01 2.376562500000e+05 7.000000000000e+03 7.316768101761e-01 6.581800391389e-03 1.608884540117e-02 2.200000000000e+00 7.313111545988e-03 1.000000000000e+00 7.155686444216e-04 9.784735812133e-02 1.682015655577e-02 2.300000000000e+00 2.523553363343e-02 3.450724561596e+00 2.120802348337e-02 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 9.507045009785e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.313111545988e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.193933463796e-03 3.000000000000e-01 8.044422700587e-03 1.100000000000e+00 3.656555772994e-03 5.000000000000e-01 8.044422700587e-03 1.100000000000e+00 1.085941660806e-02 1.484924240492e+00 0.000000000000e+00 0.000000000000e+00 1.085941660806e-02 1.484924240492e+00 0.000000000000e+00 0.000000000000e+00 + 48 JET 7.500000000000e-01 2.782562500000e+05 7.000000000000e+03 4.159644479613e-01 1.664345267288e-03 9.153898970083e-03 2.200000000000e+00 4.160863168220e-03 1.000000000000e+00 3.534490637910e-04 8.494609159240e-02 9.588058929610e-03 2.304343724361e+00 1.477399414193e-02 3.550704155516e+00 1.248258950466e-02 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.409122118686e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.160863168220e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.321726336439e-04 2.000000000000e-01 4.160863168220e-03 1.000000000000e+00 1.895363376299e-03 4.555216789572e-01 4.576949485042e-03 1.100000000000e+00 6.917239485118e-03 1.662453006855e+00 0.000000000000e+00 0.000000000000e+00 6.917239485118e-03 1.662453006855e+00 0.000000000000e+00 0.000000000000e+00 + 49 JET 7.500000000000e-01 3.249000000000e+05 7.000000000000e+03 2.408601379673e-01 1.202848722986e-03 5.292534381139e-03 2.200000000000e+00 2.405697445972e-03 1.000000000000e+00 2.363160555965e-04 9.823182711198e-02 5.655947671621e-03 2.351063589102e+00 8.782443261204e-03 3.650684867254e+00 7.579855998037e-03 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 3.127406679764e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.405697445972e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.811394891945e-04 2.000000000000e-01 2.405697445972e-03 1.000000000000e+00 9.622789783890e-04 4.000000000000e-01 2.646267190570e-03 1.100000000000e+00 4.339434102602e-03 1.803815400755e+00 0.000000000000e+00 0.000000000000e+00 4.339434102602e-03 1.803815400755e+00 0.000000000000e+00 0.000000000000e+00 + 50 JET 7.500000000000e-01 3.782250000000e+05 7.000000000000e+03 1.404820462371e-01 8.428922774225e-04 3.090605017216e-03 2.200000000000e+00 1.404820462371e-03 1.000000000000e+00 1.196861985410e-04 8.519679328916e-02 3.302822238305e-03 2.351063589102e+00 5.338317757009e-03 3.800000000000e+00 4.707196805676e-03 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 1.826266601082e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404820462371e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.809640924742e-04 2.000000000000e-01 1.264338416134e-03 9.000000000000e-01 5.619281849484e-04 4.000000000000e-01 1.404820462371e-03 1.000000000000e+00 2.781402610818e-03 1.979898987322e+00 0.000000000000e+00 0.000000000000e+00 2.781402610818e-03 1.979898987322e+00 0.000000000000e+00 0.000000000000e+00 + 51 JET 7.500000000000e-01 4.382440000000e+05 7.000000000000e+03 8.180577221362e-02 5.713793103448e-04 1.795763546798e-03 2.200000000000e+00 8.162561576355e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.919070131597e-03 2.351063589102e+00 3.224728399099e-03 3.950632860695e+00 2.859227761049e-03 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 1.061133004926e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.162561576355e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.632512315271e-04 2.000000000000e-01 6.962143481526e-04 8.529361054616e-01 3.265024630542e-04 4.000000000000e-01 8.162561576355e-04 1.000000000000e+00 1.760872840983e-03 2.157255200480e+00 0.000000000000e+00 0.000000000000e+00 1.760872840983e-03 2.157255200480e+00 0.000000000000e+00 0.000000000000e+00 + 52 JET 7.500000000000e-01 5.062322500000e+05 7.000000000000e+03 4.710807797291e-02 4.705128205128e-04 1.035128205128e-03 2.200000000000e+00 4.705128205128e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.106205560513e-03 2.351063589102e+00 1.905867340959e-03 4.050617236916e+00 1.742168628061e-03 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 6.116666666667e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.705128205128e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.410256410256e-05 2.000000000000e-01 3.764102564103e-04 8.000000000000e-01 1.680066816202e-04 3.570714214271e-01 4.234615384615e-04 9.000000000000e-01 1.114802658194e-03 2.369335349840e+00 0.000000000000e+00 0.000000000000e+00 1.114802658194e-03 2.369335349840e+00 0.000000000000e+00 0.000000000000e+00 + 53 JET 7.500000000000e-01 5.829322500000e+05 7.000000000000e+03 2.735299140108e-02 3.271865745311e-04 5.998420533070e-04 2.200000000000e+00 2.726554787759e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.682840849631e-04 2.451020195755e+00 1.145153010859e-03 4.200000000000e+00 1.051315826837e-03 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 3.817176702863e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.726554787759e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.453109575518e-05 2.000000000000e-01 2.053984499344e-04 7.533259586660e-01 8.179664363277e-05 3.000000000000e-01 2.453899308983e-04 9.000000000000e-01 7.038394036265e-04 2.581424025611e+00 0.000000000000e+00 0.000000000000e+00 7.038394036265e-04 2.581424025611e+00 0.000000000000e+00 0.000000000000e+00 + 54 JET 7.500000000000e-01 6.691240000000e+05 7.000000000000e+03 1.533469382916e-02 2.450592885375e-04 3.369565217391e-04 2.200000000000e+00 1.531620553360e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.682265550250e-04 2.404163056034e+00 6.739130434783e-04 4.400000000000e+00 6.211566416094e-04 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 2.144268774704e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.531620553360e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.063241106719e-05 2.000000000000e-01 1.072134387352e-04 7.000000000000e-01 4.594861660079e-05 3.000000000000e-01 1.378458498024e-04 9.000000000000e-01 4.278611554301e-04 2.793519285776e+00 0.000000000000e+00 0.000000000000e+00 4.278611554301e-04 2.793519285776e+00 0.000000000000e+00 0.000000000000e+00 + 55 JET 7.500000000000e-01 7.665002500000e+05 7.000000000000e+03 8.266354244921e-03 1.730890207715e-04 1.813313550940e-04 2.200000000000e+00 8.242334322453e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.060583580613e-04 2.500000000000e+00 3.750714964887e-04 4.550549417378e+00 3.469621377719e-04 4.209513035970e+00 0.000000000000e+00 0.000000000000e+00 1.153926805143e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.242334322453e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.648466864491e-05 2.000000000000e-01 5.769634025717e-05 7.000000000000e-01 2.472700296736e-05 3.000000000000e-01 6.593867457962e-05 8.000000000000e-01 2.507485543117e-04 3.042203149035e+00 0.000000000000e+00 0.000000000000e+00 2.507485543117e-04 3.042203149035e+00 0.000000000000e+00 0.000000000000e+00 + 56 JET 7.500000000000e-01 8.760960000000e+05 7.000000000000e+03 4.345299602524e-03 1.213148514851e-04 9.531881188119e-05 2.200000000000e+00 4.332673267327e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.126495049505e-04 2.600000000000e+00 2.037278072457e-04 4.702127178203e+00 1.910310970887e-04 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 6.499009900990e-05 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.332673267327e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.184925783463e-06 1.658312395178e-01 2.599603960396e-05 6.000000000000e-01 1.299801980198e-05 3.000000000000e-01 3.466138613861e-05 8.000000000000e-01 1.440573140197e-04 3.324906013709e+00 0.000000000000e+00 0.000000000000e+00 1.440573140197e-04 3.324906013709e+00 0.000000000000e+00 0.000000000000e+00 + 57 JET 7.500000000000e-01 9.990002500000e+05 7.000000000000e+03 2.380853006485e-03 8.786124876115e-05 5.224182358771e-05 2.200000000000e+00 2.374628344896e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.420285427094e-05 2.703701166919e+00 1.164052406151e-04 4.902040391510e+00 1.096965211974e-04 4.619523784980e+00 0.000000000000e+00 0.000000000000e+00 3.561942517344e-05 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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7.284426768224e+00 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 1.128627831344e+01 2.558808316385e+00 6.616133518776e+00 1.500000000000e+00 8.821511358368e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.821511358368e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.322736750463e+00 7.533259586660e-01 1.260542734460e+01 2.857883832489e+00 7.524185542292e+00 1.705872210923e+00 9.723690714676e+00 2.204540768505e+00 1.559437625454e+00 3.535533905933e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.559437625454e+00 3.535533905933e-01 + 67 JET 1.250000000000e+00 3.422500000000e+04 7.000000000000e+03 2.161757958801e+02 2.156367041199e+00 4.744007490637e+00 2.200000000000e+00 2.156367041199e+00 1.000000000000e+00 2.019070263294e+00 9.363295880150e-01 6.260895752364e+00 2.903446228192e+00 6.147537326444e+00 2.850877058030e+00 3.776721590110e+00 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 5.069756035301e+00 2.351063589102e+00 3.345845117516e+00 1.551612064918e+00 4.312734082397e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.312734082397e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.409907902665e+00 6.538348415311e-01 5.614841901155e+00 2.603843313258e+00 3.345845117516e+00 1.551612064918e+00 4.423181368638e+00 2.051219149677e+00 9.148690545352e-01 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.148690545352e-01 4.242640687119e-01 + 68 JET 1.250000000000e+00 4.326400000000e+04 7.000000000000e+03 1.108810581011e+02 1.325271610770e+00 2.429664619745e+00 2.200000000000e+00 1.104393008975e+00 1.000000000000e+00 8.899165535892e-01 8.057969820138e-01 3.092300425130e+00 2.800000000000e+00 3.206545716350e+00 2.903446228192e+00 2.044618944909e+00 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 2.375728800138e+00 2.151162476430e+00 1.713589517137e+00 1.551612064918e+00 2.208786017950e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.869297204603e-01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 7.220906280112e-01 6.538348415311e-01 2.596498191460e+00 2.351063589102e+00 1.492974333551e+00 1.351850583460e+00 2.154981790833e+00 1.951281630109e+00 5.466466500188e-01 4.949747468306e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.466466500188e-01 4.949747468306e-01 + 69 JET 1.250000000000e+00 5.405625000000e+04 7.000000000000e+03 5.833769157544e+01 7.557448833889e-01 1.278952879581e+00 2.200000000000e+00 5.813422179914e-01 1.000000000000e+00 3.618294116856e-01 6.224034664742e-01 1.541105216146e+00 2.650943228362e+00 1.745963386002e+00 3.003331483536e+00 1.162684435983e+00 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.162684435983e+00 2.000000000000e+00 9.020175992819e-01 1.551612064918e+00 1.162684435983e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.510371387219e-01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 3.223698545676e-01 5.545268253205e-01 1.250561565308e+00 2.151162476430e+00 7.278395282630e-01 1.251998402555e+00 1.076268414162e+00 1.851350858157e+00 3.288568196254e-01 5.656854249492e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.288568196254e-01 5.656854249492e-01 + 70 JET 1.250000000000e+00 6.682225000000e+04 7.000000000000e+03 3.059632838679e+01 4.582575394926e-01 6.721110579225e-01 2.200000000000e+00 3.055050263284e-01 1.000000000000e+00 1.621931377399e-01 5.309016996845e-01 7.793372743144e-01 2.550980203765e+00 9.480505694886e-01 3.103224129837e+00 6.415605552896e-01 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 5.804595500239e-01 1.900000000000e+00 4.888080421254e-01 1.600000000000e+00 6.110100526568e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.937253413527e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 1.527525131642e-01 5.000000000000e-01 5.961263457805e-01 1.951281630109e+00 3.519942950902e-01 1.152171862180e+00 5.350700538348e-01 1.751427988814e+00 2.160246758034e-01 7.071067811865e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.160246758034e-01 7.071067811865e-01 + 71 JET 1.250000000000e+00 8.179600000000e+04 7.000000000000e+03 1.596259740260e+01 2.867532467532e-01 3.504761904762e-01 2.200000000000e+00 1.593073593074e-01 1.000000000000e+00 6.981044327266e-02 4.382122933691e-01 3.982683982684e-01 2.500000000000e+00 5.102811424347e-01 3.203123475609e+00 3.586185229344e-01 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 2.867532467532e-01 1.800000000000e+00 2.548917748918e-01 1.600000000000e+00 3.186147186147e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.138926605100e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 7.965367965368e-02 5.000000000000e-01 2.867532467532e-01 1.800000000000e+00 1.676516014326e-01 1.052378258992e+00 2.630984069216e-01 1.651514456491e+00 1.239120454651e-01 7.778174593052e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.239120454651e-01 7.778174593052e-01 + 72 JET 1.250000000000e+00 9.922500000000e+04 7.000000000000e+03 8.789524637681e+00 7.894782608696e-02 1.929835748792e-01 2.200000000000e+00 8.771980676329e-02 1.000000000000e+00 3.390137459451e-02 3.864734299517e-01 2.150030179446e-01 2.451020195755e+00 2.897410579804e-01 3.303028912983e+00 2.105275362319e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.491236714976e-01 1.700000000000e+00 1.403516908213e-01 1.600000000000e+00 1.754396135266e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.279027432162e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 3.508792270531e-02 4.000000000000e-01 1.448705289902e-01 1.651514456491e+00 8.771980676329e-02 1.000000000000e+00 1.361071105062e-01 1.551612064918e+00 8.063545126870e-02 9.192388155425e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.063545126870e-02 9.192388155425e-01 + 73 JET 1.250000000000e+00 1.197160000000e+05 7.000000000000e+03 4.844801163919e+00 4.355965082444e-02 1.064791464597e-01 2.200000000000e+00 4.839961202716e-02 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5.648800000000e-02 1.000000000000e-01 1.059781127778e-03 1.876117277612e-03 1.495000000000e+00 2.646579804560e+00 + 10 HQP_YQQ 1.820000000000e+00 3.003289000000e+04 8.000000000000e+03 1.574296000000e+01 8.333000000000e-02 3.126847190837e-03 1.986187598036e-02 3.800453849170e-01 2.414065619915e+00 3.309317036278e-02 2.102093276155e-01 6.708710659432e-03 4.261403611158e-02 2.457319690392e-01 1.560900675853e+00 3.041555406260e-02 1.932009867433e-01 1.867435169575e-01 1.186203337603e+00 -1.764694887919e-01 -1.120942242068e+00 -5.929379026376e-03 -3.766368603094e-02 -4.395226221710e-02 -2.791867743874e-01 6.297184000000e-02 4.000000000000e-01 1.889155200000e-01 1.200000000000e+00 1.259436800000e-01 8.000000000000e-01 6.297184000000e-02 4.000000000000e-01 2.204014400000e-01 1.400000000000e+00 1.574296000000e-02 1.000000000000e-01 3.306021600000e-01 2.100000000000e+00 1.731725600000e-01 1.100000000000e+00 2.361444000000e-01 1.500000000000e+00 2.046584800000e-01 1.300000000000e+00 1.259436800000e-01 8.000000000000e-01 1.202591174949e-04 7.638913996792e-04 4.166500000000e-01 2.646579804560e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT_SF.dat b/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT_SF.dat new file mode 100644 index 0000000000..de6fae9c8e --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT_SF.dat @@ -0,0 +1,5 @@ +CMSTTBARTOT 2 4 + 1 INC 0.000000000000e+00 3.003289000000e+04 5.020000000000e+03 6.950000000000e+01 6.100000000000e+00 5.600000000000e+00 8.057553956835e+00 1.600000000000e+00 2.302158273381e+00 + 2 INC 0.000000000000e+00 3.003289000000e+04 7.000000000000e+03 1.738500000000e+02 2.100000000000e+00 4.264680527308e+00 2.456613206975e+00 3.800000000000e+00 2.188940092166e+00 + 3 INC 0.000000000000e+00 3.003289000000e+04 8.000000000000e+03 2.453000000000e+02 1.400000000000e+00 5.927056605095e+00 2.420194612125e+00 6.400000000000e+00 2.613311555737e+00 + 4 INC 0.000000000000e+00 3.003289000000e+04 1.300000000000e+04 7.920000000000e+02 8.000000000000e+00 3.700000000000e+01 4.671717171717e+00 2.100000000000e+01 2.651515151515e+00 diff --git a/nnpdfcpp/data/commondata/DATA_D0ZRAP_SF.dat b/nnpdfcpp/data/commondata/DATA_D0ZRAP_SF.dat new file mode 100644 index 0000000000..9700b1f241 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_D0ZRAP_SF.dat @@ -0,0 +1,29 @@ +D0ZRAP 1 28 + 1 EWK_RAP 5.000000000000e-02 8.315178393760e+03 1.960000000000e+03 2.715000000000e-01 9.000000000000e-03 5.545268253205e-03 2.046224447677e+00 + 2 EWK_RAP 1.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.765000000000e-01 9.000000000000e-03 6.538348415311e-03 2.368966817142e+00 + 3 EWK_RAP 2.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.745000000000e-01 9.000000000000e-03 5.545268253205e-03 2.023820530367e+00 + 4 EWK_RAP 3.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.665000000000e-01 1.000000000000e-02 5.545268253205e-03 2.084687313235e+00 + 5 EWK_RAP 4.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.785000000000e-01 1.000000000000e-02 6.538348415311e-03 2.351923890400e+00 + 6 EWK_RAP 5.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.685000000000e-01 1.000000000000e-02 6.538348415311e-03 2.430612793796e+00 + 7 EWK_RAP 6.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.600000000000e-01 1.000000000000e-02 6.000000000000e-03 2.307692307692e+00 + 8 EWK_RAP 7.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.770000000000e-01 1.000000000000e-02 6.164414002969e-03 2.233483334409e+00 + 9 EWK_RAP 8.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.345000000000e-01 9.000000000000e-03 6.538348415311e-03 2.782275921409e+00 + 10 EWK_RAP 9.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.435000000000e-01 9.000000000000e-03 5.545268253205e-03 2.272650923445e+00 + 11 EWK_RAP 1.050000000000e+00 8.315178393760e+03 1.960000000000e+03 2.510000000000e-01 8.000000000000e-03 6.000000000000e-03 2.390438247012e+00 + 12 EWK_RAP 1.150000000000e+00 8.315178393760e+03 1.960000000000e+03 2.355000000000e-01 8.000000000000e-03 6.538348415311e-03 2.782275921409e+00 + 13 EWK_RAP 1.250000000000e+00 8.315178393760e+03 1.960000000000e+03 2.295000000000e-01 8.000000000000e-03 5.545268253205e-03 2.410986197046e+00 + 14 EWK_RAP 1.350000000000e+00 8.315178393760e+03 1.960000000000e+03 2.225000000000e-01 8.000000000000e-03 5.545268253205e-03 2.486667378119e+00 + 15 EWK_RAP 1.450000000000e+00 8.315178393760e+03 1.960000000000e+03 2.105000000000e-01 8.000000000000e-03 4.555216789572e-03 2.158870516385e+00 + 16 EWK_RAP 1.550000000000e+00 8.315178393760e+03 1.960000000000e+03 1.905000000000e-01 8.000000000000e-03 5.545268253205e-03 2.903281807961e+00 + 17 EWK_RAP 1.650000000000e+00 8.315178393760e+03 1.960000000000e+03 1.700000000000e-01 8.000000000000e-03 5.000000000000e-03 2.941176470588e+00 + 18 EWK_RAP 1.750000000000e+00 8.315178393760e+03 1.960000000000e+03 1.680000000000e-01 8.000000000000e-03 6.000000000000e-03 3.571428571429e+00 + 19 EWK_RAP 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a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASPHT15_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASPHT15_SF_DEFAULT.dat new file mode 100644 index 0000000000..da2e9130fa --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASPHT15_SF_DEFAULT.dat @@ -0,0 +1,3 @@ +2 +1 MULT UNCORR +2 MULT ATLASLUMI15 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat new file mode 100644 index 0000000000..6fea947c3d --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat @@ -0,0 +1,91 @@ +90 +1 MULT CORR +2 MULT CORR +3 MULT UNCORR +4 MULT UNCORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR 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a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat new file mode 100644 index 0000000000..3df2200260 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat @@ -0,0 +1,92 @@ +91 +1 MULT ATLASLUMI10 +2 MULT CORR +3 MULT UNCORR +4 MULT UNCORR +5 MULT UNCORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 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MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT CORR +58 MULT CORR +59 MULT CORR +60 MULT CORR +61 MULT CORR +62 MULT CORR +63 MULT CORR +64 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPT_SF_DEFAULT.dat new file mode 100644 index 0000000000..ff2ac3422d --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPT_SF_DEFAULT.dat @@ -0,0 +1,66 @@ +65 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT CORR +58 MULT CORR +59 MULT CORR +60 MULT CORR +61 MULT CORR +62 MULT CORR +63 MULT CORR +64 MULT CORR +65 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAPNORM_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAPNORM_SF_DEFAULT.dat new file mode 100644 index 0000000000..bc40eee982 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAPNORM_SF_DEFAULT.dat @@ -0,0 +1,57 @@ +56 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat new file mode 100644 index 0000000000..c846c70374 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat @@ -0,0 +1,58 @@ +57 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTMNORM_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTMNORM_SF_DEFAULT.dat new file mode 100644 index 0000000000..f4ab074171 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTMNORM_SF_DEFAULT.dat @@ -0,0 +1,64 @@ +63 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT CORR +58 MULT CORR +59 MULT CORR +60 MULT CORR +61 MULT CORR +62 MULT CORR +63 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTM_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTM_SF_DEFAULT.dat new file mode 100644 index 0000000000..bf1b3f391b --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTM_SF_DEFAULT.dat @@ -0,0 +1,65 @@ +64 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT CORR +58 MULT CORR +59 MULT CORR +60 MULT CORR +61 MULT CORR +62 MULT CORR +63 MULT CORR +64 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat new file mode 100644 index 0000000000..bc40eee982 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat @@ -0,0 +1,57 @@ +56 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat new file mode 100644 index 0000000000..c846c70374 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat @@ -0,0 +1,58 @@ +57 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAPNORM_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAPNORM_SF_DEFAULT.dat new file mode 100644 index 0000000000..bc40eee982 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAPNORM_SF_DEFAULT.dat @@ -0,0 +1,57 @@ +56 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat new file mode 100644 index 0000000000..c846c70374 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat @@ -0,0 +1,58 @@ +57 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat new file mode 100644 index 0000000000..ea30499eae --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat @@ -0,0 +1,26 @@ +25 +1 MULT CDFLUMI +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat new file mode 100644 index 0000000000..2790c86312 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat @@ -0,0 +1,107 @@ +106 +1 MULT CMS2P76LUMI +2 MULT UNCORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 ADD CORR +27 ADD CORR +28 ADD CORR +29 ADD CORR +30 ADD CORR +31 ADD CORR +32 ADD CORR +33 ADD CORR +34 ADD CORR +35 ADD CORR +36 ADD CORR +37 ADD CORR +38 ADD CORR +39 ADD CORR +40 ADD CORR +41 ADD CORR +42 ADD CORR +43 ADD CORR +44 ADD CORR +45 ADD CORR +46 ADD CORR +47 ADD CORR +48 ADD CORR +49 ADD CORR +50 ADD CORR +51 ADD CORR +52 ADD CORR +53 ADD CORR +54 ADD CORR +55 ADD CORR +56 ADD CORR +57 ADD CORR +58 ADD CORR +59 ADD CORR +60 ADD CORR +61 ADD CORR +62 ADD CORR +63 ADD CORR +64 ADD CORR +65 ADD CORR +66 ADD CORR +67 ADD CORR +68 ADD CORR +69 ADD CORR +70 ADD CORR +71 ADD CORR +72 ADD CORR +73 ADD CORR +74 ADD CORR +75 ADD CORR +76 ADD CORR +77 ADD CORR +78 ADD CORR +79 ADD CORR +80 ADD CORR +81 ADD CORR +82 ADD CORR +83 ADD CORR +84 ADD CORR +85 ADD CORR +86 ADD CORR +87 ADD CORR +88 ADD CORR +89 ADD CORR +90 ADD CORR +91 ADD CORR +92 ADD CORR +93 ADD CORR +94 ADD CORR +95 ADD CORR +96 ADD CORR +97 ADD CORR +98 ADD CORR +99 ADD CORR +100 ADD CORR +101 ADD CORR +102 ADD CORR +103 ADD CORR +104 ADD CORR +105 ADD CORR +106 ADD CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat new file mode 100644 index 0000000000..30ade53597 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat @@ -0,0 +1,25 @@ +24 +1 MULT CMSLUMI11 +2 MULT UNCORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat new file mode 100644 index 0000000000..745d01fcd3 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat @@ -0,0 +1,22 @@ +21 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat new file mode 100644 index 0000000000..19ad7c70d6 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat @@ -0,0 +1,24 @@ +23 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat new file mode 100644 index 0000000000..ef871341e3 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat @@ -0,0 +1,21 @@ +20 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat new file mode 100644 index 0000000000..4a7a136ee2 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat @@ -0,0 +1,20 @@ +19 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat new file mode 100644 index 0000000000..19ad7c70d6 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat @@ -0,0 +1,24 @@ +23 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT_SF_DEFAULT.dat new file mode 100644 index 0000000000..d7238f5e57 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT_SF_DEFAULT.dat @@ -0,0 +1,3 @@ +2 +1 MULT UNCORR +2 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_D0ZRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_D0ZRAP_SF_DEFAULT.dat new file mode 100644 index 0000000000..33f059a80f --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_D0ZRAP_SF_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERAF2B_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERAF2B_SF_DEFAULT.dat new file mode 100644 index 0000000000..b702ace561 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERAF2B_SF_DEFAULT.dat @@ -0,0 +1,3 @@ +2 +1 MULT CORR +2 MULT CORR From 884c67ebe285f37853f6d6d5b8654b5bf4924563 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Tue, 12 Mar 2019 16:55:45 -0400 Subject: [PATCH 136/429] Added PLOTTING files for data sets affected by the symmetrising fix --- .../commondata/PLOTTING_ATLAS1JET11_SF.yaml | 17 +++++++++++++++++ .../data/commondata/PLOTTING_ATLASPHT12_SF.yaml | 5 +++++ .../data/commondata/PLOTTING_ATLASPHT15_SF.yaml | 5 +++++ .../PLOTTING_ATLASR04JETS2P76TEV_SF.yaml | 11 +++++++++++ .../PLOTTING_ATLASR04JETS36PB_SF.yaml | 11 +++++++++++ .../PLOTTING_ATLASR06JETS36PB_SF.yaml | 11 +++++++++++ .../PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml | 5 +++++ .../data/commondata/PLOTTING_CDFR2KT_SF.yaml | 11 +++++++++++ .../commondata/PLOTTING_CMS1JET276TEV_SF.yaml | 11 +++++++++++ .../data/commondata/PLOTTING_CMSJETS11_SF.yaml | 17 +++++++++++++++++ .../commondata/PLOTTING_CMSTTBARTOT_SF.yaml | 1 + .../data/commondata/PLOTTING_D0ZRAP_SF.yaml | 4 ++++ .../commondata/PLOTTING_ZEUSHERAF2B_SF.yaml | 12 ++++++++++++ 13 files changed, 121 insertions(+) create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml new file mode 100644 index 0000000000..8c55f53236 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml @@ -0,0 +1,17 @@ +dataset_label: "ATLAS jets 2011 7 TeV" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +line_by: + - k1 + +normalize: + line_by: [] + y_scale: linear + figure_by: + - k1 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml new file mode 100644 index 0000000000..fae8c9bf90 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml @@ -0,0 +1,5 @@ +dataset_label: "ATLAS direct photon production 8 TeV" +x: k2 +y_label: '$d\sigma_{\gamma}}/dp_T ^\gamma$ (fb)' +figure_by: + - k1 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml new file mode 100644 index 0000000000..41f1c5c483 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml @@ -0,0 +1,5 @@ +dataset_label: "ATLAS direct photon production 13 TeV" +x: k2 +y_label: '$d\sigma_{\gamma}}/dp_T ^\gamma$ (fb)' +figure_by: + - k1 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml new file mode 100644 index 0000000000..16b1894239 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml @@ -0,0 +1,11 @@ +dataset_label: "ATLAS jets 2.76 TeV" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +line_by: + - k1 \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml new file mode 100644 index 0000000000..1c2581b48b --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml @@ -0,0 +1,11 @@ +dataset_label: "ATLAS jets 2010 7 TeV" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +line_by: + - k1 \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml new file mode 100644 index 0000000000..1c2581b48b --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml @@ -0,0 +1,11 @@ +dataset_label: "ATLAS jets 2010 7 TeV" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +line_by: + - k1 \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml new file mode 100644 index 0000000000..b02c45a2bf --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml @@ -0,0 +1,5 @@ +dataset_label: "ATLAS $t\\bar{t}$ rapidity $y_t$" +x: k1 +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_t$ (fb)' +figure_by: + - k2 diff --git a/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml new file mode 100644 index 0000000000..aad6530f21 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml @@ -0,0 +1,11 @@ +dataset_label: "CDF Run II $k_t$ jets" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +line_by: + - k1 \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml new file mode 100644 index 0000000000..5f28e20727 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml @@ -0,0 +1,11 @@ +dataset_label: "CMS jets 2.76 TeV" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +line_by: + - k1 \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml new file mode 100644 index 0000000000..8804df0dc8 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml @@ -0,0 +1,17 @@ +dataset_label: "CMS jets 7 TeV 2011" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +normalize: + y_scale: linear + line_by: [] + figure_by: + - k1 + +line_by: + - k1 diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml new file mode 100644 index 0000000000..d67250dfc3 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml @@ -0,0 +1 @@ +dataset_label: "CMS $\\sigma_{tt}^{\\rm tot}$" diff --git a/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml new file mode 100644 index 0000000000..e9c0ad4412 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml @@ -0,0 +1,4 @@ +dataset_label: "D0 $Z$ rapidity" +x: k1 +y_label: '$1/\sigma\;d\sigma_{Z/\gamma^{*}}/dy$' +#x_label: 'Boson rapidity $|y|$' \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml new file mode 100644 index 0000000000..ae0a3d4806 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml @@ -0,0 +1,12 @@ +dataset_label: "HERA ZEUS $F_2^b$" +x: k1 +y_label: '$10^{qbin} F_{2,b}(x,Q^2)$' +result_transform: qbinexp +x_scale: log +y_scale: log +line_by: + - k2 +normalize: + figure_by: + - two_Q2_bins + y_scale: linear From 209d98bf49971e4b34bd868b17c541f3d4f09be9 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Tue, 12 Mar 2019 23:24:10 -0400 Subject: [PATCH 137/429] Added missing systype files --- .../systypes/SYSTYPE_ATLAS1JET11_SF_10.dat | 407 ++++++++++++++++++ .../SYSTYPE_ATLASR04JETS2P76TEV_SF_10.dat | 92 ++++ .../SYSTYPE_ATLASR04JETS36PB_SF_10.dat | 93 ++++ .../systypes/SYSTYPE_CDFR2KT_SF_10.dat | 27 ++ .../systypes/SYSTYPE_CMS1JET276TEV_SF_10.dat | 109 +++++ .../systypes/SYSTYPE_CMSJETS11_SF_10.dat | 27 ++ 6 files changed, 755 insertions(+) create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_10.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_10.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_10.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_10.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_10.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_10.dat diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_10.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_10.dat new file mode 100644 index 0000000000..bbd192fac3 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_10.dat @@ -0,0 +1,407 @@ +406 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT CORR +58 MULT CORR +59 MULT CORR +60 MULT CORR +61 MULT CORR +62 MULT CORR +63 MULT CORR +64 MULT CORR +65 MULT CORR +66 MULT CORR +67 MULT CORR +68 MULT CORR +69 MULT CORR +70 MULT CORR +71 MULT CORR +72 MULT CORR +73 MULT CORR +74 MULT CORR +75 MULT CORR +76 MULT CORR +77 MULT CORR +78 MULT CORR +79 MULT CORR +80 MULT CORR +81 MULT CORR +82 MULT CORR +83 MULT CORR +84 MULT CORR +85 MULT CORR +86 MULT CORR +87 MULT CORR +88 MULT CORR +89 MULT CORR +90 MULT CORR +91 MULT CORR +92 MULT CORR +93 MULT CORR +94 MULT CORR +95 MULT CORR +96 MULT CORR +97 MULT CORR +98 MULT CORR +99 MULT CORR +100 MULT CORR +101 MULT CORR +102 MULT CORR +103 MULT CORR +104 MULT CORR +105 MULT CORR +106 MULT CORR +107 MULT CORR +108 MULT CORR +109 MULT CORR +110 MULT CORR +111 MULT CORR +112 MULT CORR +113 MULT CORR +114 MULT CORR +115 MULT CORR +116 MULT CORR +117 MULT CORR +118 MULT CORR +119 MULT CORR +120 MULT CORR +121 MULT CORR +122 MULT CORR +123 MULT CORR +124 MULT CORR +125 MULT CORR +126 MULT CORR +127 MULT CORR +128 MULT CORR +129 MULT CORR +130 MULT CORR +131 MULT CORR +132 MULT CORR +133 MULT CORR +134 MULT CORR +135 MULT CORR +136 MULT CORR +137 MULT CORR +138 MULT CORR +139 MULT CORR +140 MULT CORR +141 MULT CORR +142 MULT CORR +143 MULT CORR +144 MULT CORR +145 MULT CORR +146 MULT CORR +147 MULT CORR +148 MULT CORR +149 MULT CORR +150 MULT CORR +151 MULT CORR +152 MULT CORR +153 MULT CORR +154 MULT CORR +155 MULT CORR +156 MULT CORR +157 MULT CORR +158 MULT CORR +159 MULT CORR +160 MULT CORR +161 MULT CORR +162 MULT CORR +163 MULT CORR +164 MULT CORR +165 MULT CORR +166 MULT CORR +167 MULT CORR +168 MULT CORR +169 MULT CORR +170 MULT CORR +171 MULT CORR +172 MULT CORR +173 MULT CORR +174 MULT CORR +175 MULT CORR +176 MULT CORR +177 MULT CORR +178 MULT CORR +179 MULT CORR +180 MULT CORR +181 MULT CORR +182 MULT CORR +183 MULT CORR +184 MULT CORR +185 MULT CORR +186 MULT CORR +187 MULT CORR +188 MULT CORR +189 MULT CORR +190 MULT CORR +191 MULT CORR +192 MULT CORR +193 MULT CORR +194 MULT CORR +195 MULT CORR +196 MULT CORR +197 MULT CORR +198 MULT CORR +199 MULT CORR +200 MULT CORR +201 MULT CORR +202 MULT CORR +203 MULT CORR +204 MULT CORR +205 MULT CORR +206 MULT CORR +207 MULT CORR +208 MULT CORR +209 MULT CORR +210 MULT CORR +211 MULT CORR +212 MULT CORR +213 MULT CORR +214 MULT CORR +215 MULT CORR +216 MULT CORR +217 MULT CORR +218 MULT CORR +219 MULT CORR +220 MULT CORR +221 MULT CORR +222 MULT CORR +223 MULT CORR +224 MULT CORR +225 MULT CORR +226 MULT CORR +227 MULT CORR +228 MULT CORR +229 MULT CORR +230 MULT CORR +231 MULT CORR +232 MULT CORR +233 MULT CORR +234 MULT CORR +235 MULT CORR +236 MULT CORR +237 MULT CORR +238 MULT CORR +239 MULT CORR +240 MULT CORR +241 MULT CORR +242 MULT CORR +243 MULT CORR +244 MULT CORR +245 MULT CORR +246 MULT CORR +247 MULT CORR +248 MULT CORR +249 MULT CORR +250 MULT CORR +251 MULT CORR +252 MULT CORR +253 MULT CORR +254 MULT CORR +255 MULT CORR +256 MULT CORR +257 MULT CORR +258 MULT CORR +259 MULT CORR +260 MULT CORR +261 MULT CORR +262 MULT CORR +263 MULT CORR +264 MULT CORR +265 MULT CORR +266 MULT CORR +267 MULT CORR +268 MULT CORR +269 MULT CORR +270 MULT CORR +271 MULT CORR +272 MULT CORR +273 MULT CORR +274 MULT CORR +275 MULT CORR +276 MULT CORR +277 MULT CORR +278 MULT CORR +279 MULT CORR +280 MULT CORR +281 MULT CORR +282 MULT CORR +283 MULT CORR +284 MULT CORR +285 MULT CORR +286 MULT CORR +287 MULT CORR +288 MULT CORR +289 MULT CORR +290 MULT CORR +291 MULT CORR +292 MULT CORR +293 MULT CORR +294 MULT CORR +295 MULT CORR +296 MULT CORR +297 MULT CORR +298 MULT CORR +299 MULT CORR +300 MULT CORR +301 MULT CORR +302 MULT CORR +303 MULT CORR +304 MULT CORR +305 MULT CORR +306 MULT CORR +307 MULT CORR +308 MULT CORR +309 MULT CORR +310 MULT CORR +311 MULT CORR +312 MULT CORR +313 MULT CORR +314 MULT CORR +315 MULT CORR +316 MULT CORR +317 MULT CORR +318 MULT CORR +319 MULT CORR +320 MULT CORR +321 MULT CORR +322 MULT CORR +323 MULT CORR +324 MULT CORR +325 MULT CORR +326 MULT CORR +327 MULT CORR +328 MULT CORR +329 MULT CORR +330 MULT CORR +331 MULT CORR +332 MULT CORR +333 MULT CORR +334 MULT CORR +335 MULT CORR +336 MULT CORR +337 MULT CORR +338 MULT CORR +339 MULT CORR +340 MULT CORR +341 MULT CORR +342 MULT CORR +343 MULT CORR +344 MULT CORR +345 MULT CORR +346 MULT CORR +347 MULT CORR +348 MULT CORR +349 MULT CORR +350 MULT CORR +351 MULT CORR +352 MULT CORR +353 MULT CORR +354 MULT CORR +355 MULT CORR +356 MULT CORR +357 MULT CORR +358 MULT CORR +359 MULT CORR +360 MULT CORR +361 MULT CORR +362 MULT CORR +363 MULT CORR +364 MULT CORR +365 MULT CORR +366 MULT CORR +367 MULT CORR +368 MULT CORR +369 MULT CORR +370 MULT CORR +371 MULT CORR +372 MULT CORR +373 MULT CORR +374 MULT CORR +375 MULT CORR +376 MULT CORR +377 MULT CORR +378 MULT CORR +379 MULT CORR +380 MULT CORR +381 MULT CORR +382 MULT CORR +383 MULT CORR +384 MULT CORR +385 MULT CORR +386 MULT CORR +387 MULT CORR +388 MULT CORR +389 MULT CORR +390 MULT CORR +391 MULT CORR +392 MULT CORR +393 MULT CORR +394 MULT CORR +395 MULT CORR +396 MULT CORR +397 MULT CORR +398 MULT CORR +399 MULT CORR +400 MULT CORR +401 MULT CORR +402 MULT CORR +403 MULT ATLASLUMI11 +404 MULT ATLAS1JET11_NP_err +405 MULT THEORYCORR +406 MULT SKIP \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_10.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_10.dat new file mode 100644 index 0000000000..d1a84d9d62 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_10.dat @@ -0,0 +1,92 @@ +91 +1 MULT CORR +2 MULT CORR +3 MULT UNCORR +4 MULT UNCORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT CORR +58 MULT CORR +59 MULT CORR +60 MULT CORR +61 MULT CORR +62 MULT CORR +63 MULT CORR +64 MULT CORR +65 MULT CORR +66 MULT CORR +67 MULT CORR +68 MULT CORR +69 MULT CORR +70 MULT CORR +71 MULT CORR +72 MULT CORR +73 MULT CORR +74 MULT CORR +75 MULT CORR +76 MULT CORR +77 MULT CORR +78 MULT CORR +79 MULT CORR +80 MULT CORR +81 MULT CORR +82 MULT CORR +83 MULT CORR +84 MULT CORR +85 MULT CORR +86 MULT CORR +87 MULT CORR +88 MULT CORR +89 MULT CORR +90 MULT CORR +91 MULT THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_10.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_10.dat new file mode 100644 index 0000000000..c96509a35c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_10.dat @@ -0,0 +1,93 @@ +92 +1 MULT ATLASLUMI10 +2 MULT CORR +3 MULT UNCORR +4 MULT UNCORR +5 MULT UNCORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT CORR +58 MULT CORR +59 MULT CORR +60 MULT CORR +61 MULT CORR +62 MULT CORR +63 MULT CORR +64 MULT CORR +65 MULT CORR +66 MULT CORR +67 MULT CORR +68 MULT CORR +69 MULT CORR +70 MULT CORR +71 MULT CORR +72 MULT CORR +73 MULT CORR +74 MULT CORR +75 MULT CORR +76 MULT CORR +77 MULT CORR +78 MULT CORR +79 MULT CORR +80 MULT CORR +81 MULT CORR +82 MULT CORR +83 MULT CORR +84 MULT CORR +85 MULT CORR +86 MULT CORR +87 MULT CORR +88 MULT CORR +89 MULT CORR +90 MULT CORR +91 MULT CORR +92 MULT THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_10.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_10.dat new file mode 100644 index 0000000000..49c29a624c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_10.dat @@ -0,0 +1,27 @@ +26 +1 MULT CDFLUMI +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_10.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_10.dat new file mode 100644 index 0000000000..559840b8e8 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_10.dat @@ -0,0 +1,109 @@ +107 +1 MULT CMS2P76LUMI +2 MULT UNCORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 ADD CORR +27 ADD CORR +28 ADD CORR +29 ADD CORR +30 ADD CORR +31 ADD CORR +32 ADD CORR +33 ADD CORR +34 ADD CORR +35 ADD CORR +36 ADD CORR +37 ADD CORR +38 ADD CORR +39 ADD CORR +40 ADD CORR +41 ADD CORR +42 ADD CORR +43 ADD CORR +44 ADD CORR +45 ADD CORR +46 ADD CORR +47 ADD CORR +48 ADD CORR +49 ADD CORR +50 ADD CORR +51 ADD CORR +52 ADD CORR +53 ADD CORR +54 ADD CORR +55 ADD CORR +56 ADD CORR +57 ADD CORR +58 ADD CORR +59 ADD CORR +60 ADD CORR +61 ADD CORR +62 ADD CORR +63 ADD CORR +64 ADD CORR +65 ADD CORR +66 ADD CORR +67 ADD CORR +68 ADD CORR +69 ADD CORR +70 ADD CORR +71 ADD CORR +72 ADD CORR +73 ADD CORR +74 ADD CORR +75 ADD CORR +76 ADD CORR +77 ADD CORR +78 ADD CORR +79 ADD CORR +80 ADD CORR +81 ADD CORR +82 ADD CORR +83 ADD CORR +84 ADD CORR +85 ADD CORR +86 ADD CORR +87 ADD CORR +88 ADD CORR +89 ADD CORR +90 ADD CORR +91 ADD CORR +92 ADD CORR +93 ADD CORR +94 ADD CORR +95 ADD CORR +96 ADD CORR +97 ADD CORR +98 ADD CORR +99 ADD CORR +100 ADD CORR +101 ADD CORR +102 ADD CORR +103 ADD CORR +104 ADD CORR +105 ADD CORR +106 ADD CORR +107 MULT THEORYCORR + diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_10.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_10.dat new file mode 100644 index 0000000000..b8fe26f6a9 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_10.dat @@ -0,0 +1,27 @@ +26 +1 MULT CMSLUMI11 +2 MULT UNCORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT THEORYCORR +26 MULT SKIP From 279af08113726c65b3dd226168854eabd9211d57 Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Wed, 13 Mar 2019 09:11:44 +0000 Subject: [PATCH 138/429] Removing comments --- .../src/validphys/theorycovariance/tests.py | 28 ------------------- 1 file changed, 28 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 4473b6359d..c2bbb720fc 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -75,9 +75,6 @@ def dataspecs_dataset_prediction_shift(matched_dataspecs_results, experiment_nam matched_dataspecs_dataset_prediction_shift = collect( 'dataspecs_dataset_prediction_shift', ['dataspecs']) - -#Not sure we want to export this, as it is 231 Mb... -#@table @_check_valid_shift_matrix_threshold_method def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, matched_dataspecs_dataset_theory, @@ -114,11 +111,6 @@ def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, mat[i][j] = 0 else: pass - #build index - # expnames = np.concatenate([ - # np.full(len(val.shifts), val.experiment_name, dtype=object) - # for val in matched_dataspecs_dataset_prediction_shift - # ]) dsnames = np.concatenate([ np.full(len(val.shifts), val.dataset_name, dtype=object) for val in matched_dataspecs_dataset_prediction_shift @@ -141,11 +133,6 @@ def shift_vector(matched_dataspecs_dataset_prediction_shift, all_theory = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_theory]) norm_shifts = all_shifts/all_theory - #build index - # expnames = np.concatenate([ - # np.full(len(val.shifts), val.experiment_name, dtype=object) - # for val in matched_dataspecs_dataset_prediction_shift - # ]) dsnames = np.concatenate([ np.full(len(val.shifts), val.dataset_name, dtype=object) for val in matched_dataspecs_dataset_prediction_shift @@ -171,11 +158,6 @@ def dataspecs_dataset_theory(matched_dataspecs_results, experiment_name, dataset def theory_vector(matched_dataspecs_dataset_theory): all_theory = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_theory]) - #build index - # expnames = np.concatenate([ - # np.full(len(val.shifts), val.experiment_name, dtype=object) - # for val in matched_dataspecs_dataset_theory - # ]) dsnames = np.concatenate([ np.full(len(val.shifts), val.dataset_name, dtype=object) for val in matched_dataspecs_dataset_theory @@ -201,11 +183,6 @@ def dataspecs_dataset_alltheory(matched_dataspecs_results, experiment_name, data def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_dataset_theory): all_theory = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_alltheory], axis=1) - # expnames = np.concatenate([ - # np.full(len(val.shifts), - # val.experiment_name, dtype=object) - # for val in matched_dataspecs_dataset_theory - # ]) dsnames = np.concatenate([ np.full(len(val.shifts), val.dataset_name, dtype=object) @@ -301,11 +278,6 @@ def matched_experiments_index(matched_dataspecs_experiment_name, enames = matched_dataspecs_experiment_name dsnames = matched_dataspecs_dataset_name lens = all_matched_data_lengths - #build index - # expnames = np.concatenate([ - # np.full(l, ename, dtype=object) - # for (l, ename) in zip(lens, enames) - # ]) dsnames = np.concatenate([ np.full(l, dsname, dtype=object) for (l, dsname) in zip(lens, dsnames) From 5359e781983b207333ed750a7ded34863a7733c7 Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Wed, 13 Mar 2019 09:51:38 +0000 Subject: [PATCH 139/429] Cleaning up and commenting test functions --- .../src/validphys/theorycovariance/tests.py | 171 +++++++++--------- 1 file changed, 81 insertions(+), 90 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index c2bbb720fc..6725972e17 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -428,6 +428,11 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, fivetheories:(str, type(None)) = None, seventheories:(str, type(None)) = None, eigenvalue_cutoff:(bool, type(None)) = None): + """Projects the theory covariance matrix from the data space into + the basis of non-zero eigenvalues, dependent on point-prescription. + Then returns the eigenvalues (w) and eigenvectors (v) + in the data space.""" + def shuffle_list(l, shift): i=0 newlist = l.copy() @@ -435,17 +440,14 @@ def shuffle_list(l, shift): newlist.append(newlist.pop(0)) i = i + 1 return newlist - if eigenvalue_cutoff == True: - w = None - v = None - else: - covmat = (thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])))#.reorder_levels(['Dataset name', - #'Experiment name', - #'Point']) - # constructing shift vectors + + covmat = (thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0]))) + # constructing vectors of shifts due to scale variation diffs = [((thx_vector[0] - scalevarvector)/thx_vector[0]) for scalevarvector in allthx_vector[0]] + # number of points in point prescription num_pts = len(diffs) + 1 + # constructing dictionary of datasets in each process type indexlist = list(diffs[0].index.values) procdict = {} for index in indexlist: @@ -455,7 +457,7 @@ def shuffle_list(l, shift): procdict[proc] = [name] elif name not in procdict[proc]: procdict[proc].append(name) - # creating split diffs with processes separated + # splitting up the scale-varied shift vectors into different spaces per process splitdiffs = [] for process, dslist in procdict.items(): alldatasets = [y for x in list(procdict.values()) for y in x] @@ -465,14 +467,25 @@ def shuffle_list(l, shift): for ds in otherdatasets: splitdiff.loc[ds] = 0 splitdiffs.append(splitdiff) + # -------------------------------------------------- + # CONSTRUCTING THE LINEARLY INDEPENDENT VECTORS # treating each prescription on a case-by-case basis + # Notation: + # e.g. pp => (mu_0; mu_i) = (+;+) + # mz => (mu_0; mu_i) = (-;0) + # zp => (mu_0; mu_i) = (0;+) ... + # for a process i, + # and total vectors are notated like + # (mu_0; mu_1, mu_2, ..., mu_p) if num_pts == 3: + # N.B. mu_0 correlated with mu_i xs = [] pps = splitdiffs[::(num_pts-1)] mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] - # the one vector with all pluses + # Constructing (+, +, +, ...) xs.append(sum(pps)) - # the p vectors with one minus + # Constructing the p vectors with one minus + # (-, +, + ...) + cyclic for procloc, mm in enumerate(mms): newvec = pps[0].copy() newvec.loc[:]=0 @@ -486,10 +499,14 @@ def shuffle_list(l, shift): zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] xs = [] + # Constructing (+; 0, 0, 0 ...) + # (-; 0, 0, 0 ...) + # (0; +, +, + ...) xs.append(sum(pzs)) xs.append(sum(mzs)) xs.append(sum(zps)) - # the p vectors with one minus + # Constructing the p vectors with one minus + # (0; -, +, + ...) + cyclic for procloc, zm in enumerate(zms): newvec = zps[0].copy() newvec.loc[:] = 0 @@ -503,9 +520,11 @@ def shuffle_list(l, shift): pms = shuffle_list(splitdiffs,2)[::(num_pts-1)] mps = shuffle_list(splitdiffs,3)[::(num_pts-1)] xs = [] + # Constructing (+/-; +, + ...) xs.append(sum(pps)) xs.append(sum(mps)) - # the 2p vectors with one minus + # Constructing the 2p vectors with one minus + # (+; -, +, + ...) + cyclic for procloc, pm in enumerate(pms): newvec = pms[0].copy() newvec.loc[:] = 0 @@ -513,6 +532,7 @@ def shuffle_list(l, shift): del subpps[procloc] newvec = newvec + sum(subpps) + pm xs.append(newvec) + # (-; -, +, + ...) + cyclic for procloc, mm in enumerate(mms): newvec = mms[0].copy() newvec.loc[:] = 0 @@ -528,9 +548,9 @@ def shuffle_list(l, shift): pps = shuffle_list(splitdiffs,4)[::(num_pts-1)] mms = shuffle_list(splitdiffs,5)[::(num_pts-1)] xs = [] - # 3pt-like part + # 7pt is the sum of 3pts and 5pts + # 3pt-like part: xs.append(sum(pps)) - # the p vectors with one minus for procloc, mm in enumerate(mms): newvec = pps[0].copy() newvec.loc[:]=0 @@ -538,11 +558,10 @@ def shuffle_list(l, shift): del subpps[procloc] newvec = newvec + sum(subpps) + mm xs.append(newvec) - # 5pt-like part + # 5pt-like part: xs.append(sum(pzs)) xs.append(sum(mzs)) xs.append(sum(zps)) - # the p vectors with one minus for procloc, zm in enumerate(zms): newvec = zps[0].copy() newvec.loc[:] = 0 @@ -560,9 +579,11 @@ def shuffle_list(l, shift): pms = shuffle_list(splitdiffs,6)[::(num_pts-1)] mps = shuffle_list(splitdiffs,7)[::(num_pts-1)] xs = [] + # Constructing (+/-/0; +, +, ...) xs.append(sum(pps)) xs.append(sum(mps)) xs.append(sum(zps)) + # Constructing (+/-/0; -, +, + ...) + cyclic for procloc, zm in enumerate(zms): newvec = zps[0].copy() newvec.loc[:] = 0 @@ -584,6 +605,7 @@ def shuffle_list(l, shift): del submps[procloc] newvec = newvec + sum(submps) + mm xs.append(newvec) + # Constructing (+/-; 0, +, +, ...) + cyclic for procloc, pz in enumerate(pzs): newvec = pps[0].copy() newvec.loc[:] = 0 @@ -598,25 +620,28 @@ def shuffle_list(l, shift): del submps[procloc] newvec = newvec + sum(submps) + mz xs.append(newvec) + # ------------------------------------------------- # Orthonormalising vectors according to Gram-Schmidt ys = [x/np.linalg.norm(x) for x in xs] for i in range(1, len(xs)): for j in range(0,i): ys[i] = ys[i] - (ys[i].T.dot(ys[j]))[0][0]*ys[j]/np.linalg.norm(ys[j]) ys[i] = ys[i]/np.linalg.norm(ys[i]) + # Projecting covariance matrix onto subspace of non-zero eigenvalues P = pd.concat(ys, axis=1) projected_matrix = (P.T).dot(covmat.dot(P)) w, v_projected = la.eigh(projected_matrix) + # Finding eigenvectors in data space v = P.dot(v_projected) return w, v def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, eigenvalue_cutoff:(bool, type(None)) = None): - if eigenvalue_cutoff == True: - matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) - w, v = la.eigh(matrix) - else: - w, v = evals_nonzero_basis + """Compares the NNLO-NLO shift, f, with the eigenvectors and eigenvalues of the + theory covariance matrix, and returns the component of the NNLO-NLO shift + space which is missed by the covariance matrix space: fmiss, as well as the + projections of the shift vector onto each of the eigenvectors: projectors.""" + w, v = evals_nonzero_basis # Sorting real part of eigenvalues w = np.real(w) v = np.real(v) @@ -624,43 +649,33 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, w = w[sort_indices] v = v[:, sort_indices] w_max = w[np.argmax(w)] + # NNLO-NLO shift vector f = -shx_vector[0].values.T[0] - all_projectors = np.sum(f*v.T, axis=1) - if eigenvalue_cutoff == True: - mod_larg_neg_eval = np.abs(w[0]) - nonzero_locs = np.nonzero(w>10*mod_larg_neg_eval)[0] - w_nonzero = [] - for loc in nonzero_locs: - if loc >=0: - w_nonzero.append(w[loc]) - # ^ taking 0th element to extract list from tuple - else: - nonzero_locs = range(len(w)) - w_nonzero = w[nonzero_locs] - v_nonzero = [] - for loc in nonzero_locs: - if loc >=0: - v_nonzero.append(v[:,loc]) - projectors = np.sum(f*v_nonzero, axis=1) + # Projecting the shift vector onto each of the eigenvectors + projectors = np.sum(f*v.T, axis=1) # Initialise array of zeros and set precision to same as FK tables projected_evectors = np.zeros((len(projectors), (len(f))), dtype=np.float32) for i, projector in enumerate(projectors): projected_evectors[i] = projector*v_nonzero[i] fmiss = f - np.sum(projected_evectors, axis=0) - return w_nonzero, v_nonzero, projectors, f, fmiss, w_max, w, all_projectors + return w, v, projectors, f, fmiss @table def theory_covmat_eigenvalues(theory_shift_test): - w_nonzero, v_nonzero, projectors = theory_shift_test[:3] - s_scrambled = np.sqrt(np.abs(w_nonzero)) - projectors_scrambled = np.ndarray.tolist(projectors) - ratio_scrambled = projectors_scrambled/s_scrambled - table = pd.DataFrame([s_scrambled[::-1], projectors_scrambled[::-1], ratio_scrambled[::-1]], + """Returns a table of s = sqrt(eigenvalue), the projector and + the ratio of the two, ordered by largest eigenvalue.""" + w, v, projectors = theory_shift_test[:3] + s = np.sqrt(np.abs(w)) + projectors = np.ndarray.tolist(projectors) + ratio= projectors/s + table = pd.DataFrame([s[::-1], projectors[::-1], ratio[::-1]], index = [r'$s_a$', r'$\delta_a$', r'$\delta_a/s_a$'], - columns = np.arange(1,len(s_scrambled)+1,1)) + columns = np.arange(1,len(s)+1,1)) return table def efficiency(theory_shift_test): + """Returns (efficiency = 1 - fmiss/f) with which the theory + covariance matrix encapsulates the NNLO-NLO shift.""" f = theory_shift_test[3] fmiss = theory_shift_test[4] fmod = np.sqrt(np.sum(f**2)) @@ -669,14 +684,9 @@ def efficiency(theory_shift_test): print(f"efficiency = {efficiency}") return efficiency -def maxrat(theory_shift_test): - f = theory_shift_test[3] - fmiss = theory_shift_test[4] - maxrat = np.max(np.abs(fmiss))/np.max(np.abs(f)) -# print(f"maxrat = {maxrat}") - return maxrat - def validation_theory_chi2(theory_shift_test): + """Returns the theory chi2 for comparing NNLO-NLO shift + with theory covariance matrix.""" projectors = theory_shift_test[2] evals = theory_shift_test[0] ratio = projectors/np.sqrt(np.abs(evals)) @@ -687,36 +697,30 @@ def validation_theory_chi2(theory_shift_test): @figure def projector_eigenvalue_ratio(theory_shift_test, eigenvalue_cutoff:(bool, type(None)) = None): - surviving_evals = theory_shift_test[0][::-1] - all_projectors = theory_shift_test[7][::-1] - all_evals = theory_shift_test[6][::-1] + """Produces a plot of the ratio between the projectors and the square roots + of the corresponding eigenvalues.""" + evals = theory_shift_test[0][::-1] + projectors = theory_shift_test[2][::-1] fmiss = theory_shift_test[4] fmiss_mod = np.sqrt(np.sum(fmiss**2)) - ratio = np.abs(all_projectors)/np.sqrt(np.abs(all_evals)) + ratio = np.abs(projectors)/np.sqrt(np.abs(evals)) # Initialise array of zeros and set precision to same as FK tables - masked_evals = np.zeros((len(all_evals)), dtype=np.float32) - for loc, eval in enumerate(all_evals): - if eval in surviving_evals: - masked_evals[loc] = eval - # Ordering according to shift vector - mask = np.argsort(np.abs(all_projectors))[::-1] - all_evals = np.asarray(all_evals)[mask] - all_projectors = all_projectors[mask] + # Ordering according to shift vector + mask = np.argsort(np.abs(projectors))[::-1] + evals = np.asarray(evals)[mask] + projectors = projectors[mask] ratio = ratio[mask] - masked_evals = masked_evals[mask] - xvals = np.arange(1,len(masked_evals)+1,1) + xvals = np.arange(1,len(evals)+1,1) + # Plotting fig, (ax1, ax2) = plt.subplots(2, figsize=(5,5)) - ax1.plot(xvals, np.abs(all_projectors), 's', label = r'|$\delta_a$|') - ax1.plot(xvals, np.sqrt(np.abs(all_evals)), 'o', label = r'$|s_a|$') + ax1.plot(xvals, np.abs(projectors), 's', label = r'|$\delta_a$|') + ax1.plot(xvals, np.sqrt(np.abs(evals)), 'o', label = r'$|s_a|$') ax1.plot(0, fmiss_mod, '*', label=r'$|\delta_{miss}|$', color='b') ax2.plot(xvals,ratio, 'D', color="red") ax2.plot(0,0, '.', color="w") - ax1.set_title(f"Number of eigenvalues = {len(surviving_evals)}", fontsize=10) + ax1.set_title(f"Number of eigenvalues = {len(evals)}", fontsize=10) ax1.set_yscale('log') ax2.set_yscale('log') - if eigenvalue_cutoff == True: - ax1.set_xscale('log') - ax2.set_xscale('log') ax1.legend() labels = [item.get_text() for item in ax1.get_xticklabels()] ax1.set_xticklabels(labels) @@ -729,10 +733,12 @@ def projector_eigenvalue_ratio(theory_shift_test, @figure def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): + """Produces a plot of a comparison between the NNLO-NLO shift and the + envelope given by the diagonal elements of the theory covariance matrix.""" matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) fnorm = -shx_vector[0] indexlist = list(matrix.index.values) - # adding process index for plotting + # adding process index for plotting, and reindexing matrices and vectors dsnames = [] processnames= [] ids = [] @@ -756,6 +762,7 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): fnorm = pd.DataFrame(fnorm.values, index=tripleindex) fnorm.sort_index(0, inplace=True) fnorm = fnorm.reindex(newindex) + # Plotting fig, ax = plt.subplots(figsize=(20,10)) ax.plot(sqrtdiags*100, '.-', label="Theory", color = "red") ax.plot(-sqrtdiags*100, '.-', color = "red") @@ -769,19 +776,3 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): ax.yaxis.set_tick_params(labelsize=20) return fig -@figure -def plot_shift_scaleavg_comparison(shx_vector, thx_vector, - allthx_vector, thx_covmat): - diffs = [((thx_vector[0] - scalevarvector)/thx_vector[0]) - for scalevarvector in allthx_vector[0]] - diffsconcat = pd.concat(diffs, axis=1) - avgdiffs = diffsconcat.mean(axis=1) - fig, ax = plt.subplots(figsize=(20,10)) - ax.plot(100*avgdiffs.values, '.-', - label=r"Average of $\Delta$s",color = "blue") - ax.plot(-100*shx_vector[0].values, '.-', label="NNLO-NLO shift", color = "black") - ticklocs, ticklabels, startlocs = matrix_plot_labels(thx_covmat[0]) - plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=20) - ax.set_ylabel("% of central theory", fontsize=20) - ax.legend(fontsize=20) - return fig From 6ebe45b039dad122e65786f9182439af18c9a523 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 13 Mar 2019 10:03:43 +0000 Subject: [PATCH 140/429] clearing up indents in test function --- .../src/validphys/theorycovariance/tests.py | 363 +++++++++--------- 1 file changed, 180 insertions(+), 183 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 6725972e17..af69088d45 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -274,8 +274,6 @@ def all_matched_data_lengths(all_matched_datasets): def matched_experiments_index(matched_dataspecs_experiment_name, matched_dataspecs_dataset_name, all_matched_data_lengths): - - enames = matched_dataspecs_experiment_name dsnames = matched_dataspecs_dataset_name lens = all_matched_data_lengths dsnames = np.concatenate([ @@ -428,9 +426,9 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, fivetheories:(str, type(None)) = None, seventheories:(str, type(None)) = None, eigenvalue_cutoff:(bool, type(None)) = None): - """Projects the theory covariance matrix from the data space into - the basis of non-zero eigenvalues, dependent on point-prescription. - Then returns the eigenvalues (w) and eigenvectors (v) + """Projects the theory covariance matrix from the data space into + the basis of non-zero eigenvalues, dependent on point-prescription. + Then returns the eigenvalues (w) and eigenvectors (v) in the data space.""" def shuffle_list(l, shift): @@ -441,205 +439,205 @@ def shuffle_list(l, shift): i = i + 1 return newlist - covmat = (thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0]))) - # constructing vectors of shifts due to scale variation - diffs = [((thx_vector[0] - scalevarvector)/thx_vector[0]) + covmat = (thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0]))) + # constructing vectors of shifts due to scale variation + diffs = [((thx_vector[0] - scalevarvector)/thx_vector[0]) for scalevarvector in allthx_vector[0]] # number of points in point prescription - num_pts = len(diffs) + 1 + num_pts = len(diffs) + 1 # constructing dictionary of datasets in each process type - indexlist = list(diffs[0].index.values) - procdict = {} - for index in indexlist: - name = index[0] - proc = _process_lookup(name) - if proc not in list(procdict.keys()): - procdict[proc] = [name] - elif name not in procdict[proc]: - procdict[proc].append(name) - # splitting up the scale-varied shift vectors into different spaces per process - splitdiffs = [] - for process, dslist in procdict.items(): - alldatasets = [y for x in list(procdict.values()) for y in x] - otherdatasets = [x for x in alldatasets if x not in procdict[process]] - for diff in diffs: - splitdiff = diff.copy() - for ds in otherdatasets: - splitdiff.loc[ds] = 0 - splitdiffs.append(splitdiff) - # -------------------------------------------------- - # CONSTRUCTING THE LINEARLY INDEPENDENT VECTORS - # treating each prescription on a case-by-case basis + indexlist = list(diffs[0].index.values) + procdict = {} + for index in indexlist: + name = index[0] + proc = _process_lookup(name) + if proc not in list(procdict.keys()): + procdict[proc] = [name] + elif name not in procdict[proc]: + procdict[proc].append(name) + # splitting up the scale-varied shift vectors into different spaces per process + splitdiffs = [] + for process, dslist in procdict.items(): + alldatasets = [y for x in list(procdict.values()) for y in x] + otherdatasets = [x for x in alldatasets if x not in procdict[process]] + for diff in diffs: + splitdiff = diff.copy() + for ds in otherdatasets: + splitdiff.loc[ds] = 0 + splitdiffs.append(splitdiff) + # -------------------------------------------------- + # CONSTRUCTING THE LINEARLY INDEPENDENT VECTORS + # treating each prescription on a case-by-case basis # Notation: # e.g. pp => (mu_0; mu_i) = (+;+) # mz => (mu_0; mu_i) = (-;0) # zp => (mu_0; mu_i) = (0;+) ... - # for a process i, + # for a process i, # and total vectors are notated like # (mu_0; mu_1, mu_2, ..., mu_p) - if num_pts == 3: + if num_pts == 3: # N.B. mu_0 correlated with mu_i - xs = [] - pps = splitdiffs[::(num_pts-1)] - mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] - # Constructing (+, +, +, ...) - xs.append(sum(pps)) - # Constructing the p vectors with one minus + xs = [] + pps = splitdiffs[::(num_pts-1)] + mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] + # Constructing (+, +, +, ...) + xs.append(sum(pps)) + # Constructing the p vectors with one minus # (-, +, + ...) + cyclic - for procloc, mm in enumerate(mms): - newvec = pps[0].copy() - newvec.loc[:]=0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + mm - xs.append(newvec) - elif (num_pts == 5) and (fivetheories == "nobar"): - pzs = splitdiffs[::(num_pts-1)] - mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] - zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] - zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] - xs = [] + for procloc, mm in enumerate(mms): + newvec = pps[0].copy() + newvec.loc[:]=0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + mm + xs.append(newvec) + elif (num_pts == 5) and (fivetheories == "nobar"): + pzs = splitdiffs[::(num_pts-1)] + mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] + zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] + zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] + xs = [] # Constructing (+; 0, 0, 0 ...) # (-; 0, 0, 0 ...) # (0; +, +, + ...) - xs.append(sum(pzs)) - xs.append(sum(mzs)) - xs.append(sum(zps)) - # Constructing the p vectors with one minus - # (0; -, +, + ...) + cyclic - for procloc, zm in enumerate(zms): - newvec = zps[0].copy() - newvec.loc[:] = 0 - subzps = zps.copy() - del subzps[procloc] - newvec = newvec + sum(subzps) + zm - xs.append(newvec) - elif (num_pts == 5) and (fivetheories == "bar"): - pps = splitdiffs[::(num_pts-1)] - mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] - pms = shuffle_list(splitdiffs,2)[::(num_pts-1)] - mps = shuffle_list(splitdiffs,3)[::(num_pts-1)] - xs = [] + xs.append(sum(pzs)) + xs.append(sum(mzs)) + xs.append(sum(zps)) + # Constructing the p vectors with one minus + # (0; -, +, + ...) + cyclic + for procloc, zm in enumerate(zms): + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) + elif (num_pts == 5) and (fivetheories == "bar"): + pps = splitdiffs[::(num_pts-1)] + mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] + pms = shuffle_list(splitdiffs,2)[::(num_pts-1)] + mps = shuffle_list(splitdiffs,3)[::(num_pts-1)] + xs = [] # Constructing (+/-; +, + ...) - xs.append(sum(pps)) - xs.append(sum(mps)) - # Constructing the 2p vectors with one minus + xs.append(sum(pps)) + xs.append(sum(mps)) + # Constructing the 2p vectors with one minus # (+; -, +, + ...) + cyclic - for procloc, pm in enumerate(pms): - newvec = pms[0].copy() - newvec.loc[:] = 0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + pm - xs.append(newvec) + for procloc, pm in enumerate(pms): + newvec = pms[0].copy() + newvec.loc[:] = 0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + pm + xs.append(newvec) # (-; -, +, + ...) + cyclic - for procloc, mm in enumerate(mms): - newvec = mms[0].copy() - newvec.loc[:] = 0 - submps = mps.copy() - del submps[procloc] - newvec = newvec + sum(submps) + mm - xs.append(newvec) - elif (num_pts == 7) and (seventheories != "original"): - pzs = splitdiffs[::(num_pts-1)] - mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] - zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] - zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] - pps = shuffle_list(splitdiffs,4)[::(num_pts-1)] - mms = shuffle_list(splitdiffs,5)[::(num_pts-1)] - xs = [] + for procloc, mm in enumerate(mms): + newvec = mms[0].copy() + newvec.loc[:] = 0 + submps = mps.copy() + del submps[procloc] + newvec = newvec + sum(submps) + mm + xs.append(newvec) + elif (num_pts == 7) and (seventheories != "original"): + pzs = splitdiffs[::(num_pts-1)] + mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] + zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] + zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] + pps = shuffle_list(splitdiffs,4)[::(num_pts-1)] + mms = shuffle_list(splitdiffs,5)[::(num_pts-1)] + xs = [] # 7pt is the sum of 3pts and 5pts - # 3pt-like part: - xs.append(sum(pps)) - for procloc, mm in enumerate(mms): - newvec = pps[0].copy() - newvec.loc[:]=0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + mm - xs.append(newvec) - # 5pt-like part: - xs.append(sum(pzs)) - xs.append(sum(mzs)) - xs.append(sum(zps)) - for procloc, zm in enumerate(zms): - newvec = zps[0].copy() - newvec.loc[:] = 0 - subzps = zps.copy() - del subzps[procloc] - newvec = newvec + sum(subzps) + zm - xs.append(newvec) - elif num_pts == 9: - pzs = splitdiffs[::(num_pts-1)] - mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] - zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] - zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] - pps = shuffle_list(splitdiffs,4)[::(num_pts-1)] - mms = shuffle_list(splitdiffs,5)[::(num_pts-1)] - pms = shuffle_list(splitdiffs,6)[::(num_pts-1)] - mps = shuffle_list(splitdiffs,7)[::(num_pts-1)] - xs = [] + # 3pt-like part: + xs.append(sum(pps)) + for procloc, mm in enumerate(mms): + newvec = pps[0].copy() + newvec.loc[:]=0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + mm + xs.append(newvec) + # 5pt-like part: + xs.append(sum(pzs)) + xs.append(sum(mzs)) + xs.append(sum(zps)) + for procloc, zm in enumerate(zms): + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) + elif num_pts == 9: + pzs = splitdiffs[::(num_pts-1)] + mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] + zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] + zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] + pps = shuffle_list(splitdiffs,4)[::(num_pts-1)] + mms = shuffle_list(splitdiffs,5)[::(num_pts-1)] + pms = shuffle_list(splitdiffs,6)[::(num_pts-1)] + mps = shuffle_list(splitdiffs,7)[::(num_pts-1)] + xs = [] # Constructing (+/-/0; +, +, ...) - xs.append(sum(pps)) - xs.append(sum(mps)) - xs.append(sum(zps)) + xs.append(sum(pps)) + xs.append(sum(mps)) + xs.append(sum(zps)) # Constructing (+/-/0; -, +, + ...) + cyclic - for procloc, zm in enumerate(zms): - newvec = zps[0].copy() - newvec.loc[:] = 0 - subzps = zps.copy() - del subzps[procloc] - newvec = newvec + sum(subzps) + zm - xs.append(newvec) - for procloc, pm in enumerate(pms): - newvec = pps[0].copy() - newvec.loc[:] = 0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + pm - xs.append(newvec) - for procloc, mm in enumerate(mms): - newvec = mps[0].copy() - newvec.loc[:] = 0 - submps = mps.copy() - del submps[procloc] - newvec = newvec + sum(submps) + mm - xs.append(newvec) + for procloc, zm in enumerate(zms): + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) + for procloc, pm in enumerate(pms): + newvec = pps[0].copy() + newvec.loc[:] = 0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + pm + xs.append(newvec) + for procloc, mm in enumerate(mms): + newvec = mps[0].copy() + newvec.loc[:] = 0 + submps = mps.copy() + del submps[procloc] + newvec = newvec + sum(submps) + mm + xs.append(newvec) # Constructing (+/-; 0, +, +, ...) + cyclic - for procloc, pz in enumerate(pzs): - newvec = pps[0].copy() - newvec.loc[:] = 0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + pz - xs.append(newvec) - for procloc, mz in enumerate(mzs): - newvec = mps[0].copy() - newvec.loc[:] = 0 - submps = mps.copy() - del submps[procloc] - newvec = newvec + sum(submps) + mz - xs.append(newvec) - # ------------------------------------------------- - # Orthonormalising vectors according to Gram-Schmidt - ys = [x/np.linalg.norm(x) for x in xs] - for i in range(1, len(xs)): - for j in range(0,i): - ys[i] = ys[i] - (ys[i].T.dot(ys[j]))[0][0]*ys[j]/np.linalg.norm(ys[j]) - ys[i] = ys[i]/np.linalg.norm(ys[i]) + for procloc, pz in enumerate(pzs): + newvec = pps[0].copy() + newvec.loc[:] = 0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + pz + xs.append(newvec) + for procloc, mz in enumerate(mzs): + newvec = mps[0].copy() + newvec.loc[:] = 0 + submps = mps.copy() + del submps[procloc] + newvec = newvec + sum(submps) + mz + xs.append(newvec) + # ------------------------------------------------ + # Orthonormalising vectors according to Gram-Schmidt + ys = [x/np.linalg.norm(x) for x in xs] + for i in range(1, len(xs)): + for j in range(0,i): + ys[i] = ys[i] - (ys[i].T.dot(ys[j]))[0][0]*ys[j]/np.linalg.norm(ys[j]) + ys[i] = ys[i]/np.linalg.norm(ys[i]) # Projecting covariance matrix onto subspace of non-zero eigenvalues - P = pd.concat(ys, axis=1) - projected_matrix = (P.T).dot(covmat.dot(P)) - w, v_projected = la.eigh(projected_matrix) + P = pd.concat(ys, axis=1) + projected_matrix = (P.T).dot(covmat.dot(P)) + w, v_projected = la.eigh(projected_matrix) # Finding eigenvectors in data space - v = P.dot(v_projected) + v = P.dot(v_projected) return w, v def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, eigenvalue_cutoff:(bool, type(None)) = None): """Compares the NNLO-NLO shift, f, with the eigenvectors and eigenvalues of the - theory covariance matrix, and returns the component of the NNLO-NLO shift - space which is missed by the covariance matrix space: fmiss, as well as the + theory covariance matrix, and returns the component of the NNLO-NLO shift + space which is missed by the covariance matrix space: fmiss, as well as the projections of the shift vector onto each of the eigenvectors: projectors.""" w, v = evals_nonzero_basis # Sorting real part of eigenvalues @@ -648,7 +646,6 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, sort_indices = np.argsort(w) w = w[sort_indices] v = v[:, sort_indices] - w_max = w[np.argmax(w)] # NNLO-NLO shift vector f = -shx_vector[0].values.T[0] # Projecting the shift vector onto each of the eigenvectors @@ -656,14 +653,14 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, # Initialise array of zeros and set precision to same as FK tables projected_evectors = np.zeros((len(projectors), (len(f))), dtype=np.float32) for i, projector in enumerate(projectors): - projected_evectors[i] = projector*v_nonzero[i] + projected_evectors[i] = projector*v[i] fmiss = f - np.sum(projected_evectors, axis=0) return w, v, projectors, f, fmiss @table def theory_covmat_eigenvalues(theory_shift_test): """Returns a table of s = sqrt(eigenvalue), the projector and - the ratio of the two, ordered by largest eigenvalue.""" + the ratio of the two, ordered by largest eigenvalue.""" w, v, projectors = theory_shift_test[:3] s = np.sqrt(np.abs(w)) projectors = np.ndarray.tolist(projectors) @@ -674,7 +671,7 @@ def theory_covmat_eigenvalues(theory_shift_test): return table def efficiency(theory_shift_test): - """Returns (efficiency = 1 - fmiss/f) with which the theory + """Returns (efficiency = 1 - fmiss/f) with which the theory covariance matrix encapsulates the NNLO-NLO shift.""" f = theory_shift_test[3] fmiss = theory_shift_test[4] @@ -698,7 +695,7 @@ def validation_theory_chi2(theory_shift_test): def projector_eigenvalue_ratio(theory_shift_test, eigenvalue_cutoff:(bool, type(None)) = None): """Produces a plot of the ratio between the projectors and the square roots - of the corresponding eigenvalues.""" + of the corresponding eigenvalues.""" evals = theory_shift_test[0][::-1] projectors = theory_shift_test[2][::-1] fmiss = theory_shift_test[4] @@ -728,7 +725,7 @@ def projector_eigenvalue_ratio(theory_shift_test, ax2.axhline(y=3, color='k', label=r'|$\delta_a$/$s_a$| = 3') ax2.legend() ax2.set_ylabel(r"|$\delta_a$/$s_a$|") - print(f"Subspace dimension = {len(all_evals)}") + print(f"Subspace dimension = {len(evals)}") return fig @figure @@ -762,7 +759,7 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): fnorm = pd.DataFrame(fnorm.values, index=tripleindex) fnorm.sort_index(0, inplace=True) fnorm = fnorm.reindex(newindex) - # Plotting + # Plotting fig, ax = plt.subplots(figsize=(20,10)) ax.plot(sqrtdiags*100, '.-', label="Theory", color = "red") ax.plot(-sqrtdiags*100, '.-', color = "red") From 0f519ed0eafe5e45add1d3676480a2f21b24aef1 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 13 Mar 2019 14:48:58 +0000 Subject: [PATCH 141/429] Tidy up comments and docstrings --- .../validphys/theorycovariance/construction.py | 18 +++++++++--------- .../src/validphys/theorycovariance/output.py | 4 ++-- .../src/validphys/theorycovariance/tests.py | 4 ++-- 3 files changed, 13 insertions(+), 13 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index f8cfd421cd..482faadf0f 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -120,7 +120,7 @@ def theory_covmat(theoryids_experiments_central_values, experiments_index, theor def theory_covmat_datasets(each_dataset_results_bytheory, fivetheories:(str, type(None)) = None): """Produces an array of theory covariance matrices. Each matrix corresponds - to a different dataset, which must be specified in the runcard. """ + to a different dataset, which must be specified in the runcard.""" dataset_covmats=[] for dataset in each_dataset_results_bytheory: theory_centrals = [x[1].central_value for x in dataset] @@ -134,7 +134,7 @@ def total_covmat_datasets(each_dataset_results_bytheory, """Produces an array of total covariance matrices; the sum of experimental and scale-varied theory covariance matrices. Each matrix corresponds to a different dataset, which must be specified in the runcard. - These are needed for calculation of chi2 per dataset. """ + These are needed for calculation of chi2 per dataset.""" dataset_covmats=[] for dataset in each_dataset_results_bytheory: theory_centrals = [x[1].central_value for x in dataset] @@ -601,7 +601,7 @@ def data_theory_diff(experiments_results): def chi2_block_impact(theory_block_diag_covmat, experiments_covmat, experiments_results): - """ Returns total chi2 including theory cov mat """ + """Returns total chi2 including theory cov mat""" chi2 = chi2_impact(theory_block_diag_covmat, experiments_covmat, experiments_results) return chi2 @@ -609,7 +609,7 @@ def chi2_block_impact(theory_block_diag_covmat, experiments_covmat, def chi2_impact_custom(theory_covmat_custom, experiments_covmat, experiments_results): - """ Returns total chi2 including theory cov mat """ + """Returns total chi2 including theory cov mat""" chi2 = chi2_impact(theory_covmat_custom, experiments_covmat, experiments_results) return chi2 @@ -623,7 +623,7 @@ def theory_diagcovmat(theory_covmat): return s_diag def chi2_diag_only(theory_diagcovmat, experiments_covmat, data_theory_diff): - """ Returns total chi2 including only diags of theory cov mat """ + """Returns total chi2 including only diags of theory cov mat""" cov = theory_diagcovmat + experiments_covmat.values elements = np.dot(data_theory_diff.T,np.dot(la.inv(cov),data_theory_diff)) chi2 = (1/len(data_theory_diff))*np.sum(elements) @@ -632,7 +632,7 @@ def chi2_diag_only(theory_diagcovmat, experiments_covmat, data_theory_diff): each_dataset_results = collect(results, ('experiments', 'experiment')) def abs_chi2_data_theory_dataset(each_dataset_results, total_covmat_datasets): - """ Returns an array of tuples (member_chi², central_chi², numpoints) + """Returns an array of tuples (member_chi², central_chi², numpoints) corresponding to each data set, where theory errors are included""" chi2data_array = [] for datresults, covmat in zip(each_dataset_results, total_covmat_datasets): @@ -644,7 +644,7 @@ def abs_chi2_data_theory_dataset(each_dataset_results, total_covmat_datasets): return chi2data_array def abs_chi2_data_theory_experiment(experiments_results, total_covmat_experiments): - """ Like abs_chi2_data_theory_dataset but for experiments not datasets""" + """Like abs_chi2_data_theory_dataset but for experiments not datasets""" chi2data_array = [] for expresults, covmat in zip(experiments_results, total_covmat_experiments): data_result, th_result = expresults @@ -656,12 +656,12 @@ def abs_chi2_data_theory_experiment(experiments_results, total_covmat_experiment def abs_chi2_data_diagtheory_experiment(experiments_results, total_covmat_diagtheory_experiments): - """ For a diagonal theory covmat """ + """For a diagonal theory covmat""" return abs_chi2_data_theory_experiment(experiments_results, total_covmat_diagtheory_experiments) def abs_chi2_data_diagtheory_dataset(each_dataset_results, total_covmat_diagtheory_datasets): - """ For a diagonal theory covmat """ + """For a diagonal theory covmat""" return abs_chi2_data_theory_dataset(each_dataset_results, total_covmat_diagtheory_datasets) diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index b360711208..774813622c 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -99,7 +99,7 @@ def plot_covmat_heatmap(covmat, title, dataset_index_byprocess): newindex = sorted(oldindex, key=_get_key) # reindex index newdf = df.reindex(newindex) - #reindex columns by transposing, reindexing, then transposing back + # reindex columns by transposing, reindexing, then transposing back newdf = (newdf.T.reindex(newindex)).T matrix = newdf.values fig,ax = plt.subplots(figsize=(15,15)) @@ -159,7 +159,7 @@ def plot_corrmat_heatmap(corrmat, title, dataset_index_byprocess): newindex = sorted(oldindex, key=_get_key) # reindex index newdf = df.reindex(newindex) - #reindex columns by transposing, reindexing, then transposing back + # reindex columns by transposing, reindexing, then transposing back newdf = (newdf.T.reindex(newindex)).T matrix = newdf.values fig, ax = plt.subplots(figsize=(15,15)) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index af69088d45..f61589af32 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -371,7 +371,7 @@ def theory_corrmat_value_fractions(thx_corrmat, mat = thx_corrmat[0].values # Initialise array of zeros and set precision to same as FK tables newmat = np.zeros((len(mat),len(mat)), dtype=np.float32) - #coarse graining for comparison + # coarse graining for comparison newmat[mat>=theory_threshold]=1 newmat[mat<=-theory_threshold]=-1 matsize = np.size(mat) @@ -388,7 +388,7 @@ def theory_corrmat_value_fractions(thx_corrmat, @table def shift_theory_element_comparison(shx_corrmat, thx_corrmat, theory_threshold:(int, float) = 0): - #coarse graining for comparison + # coarse graining for comparison thmat = thx_corrmat[0].values # Initialise array of zeros and set precision to same as FK tables newthmat = np.zeros((len(thmat),len(thmat)), dtype=np.float32) From dec9ca14834f9097bea41aacfc70df327c14974c Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 13 Mar 2019 15:30:15 +0000 Subject: [PATCH 142/429] fixing bug due to update --- validphys2/src/validphys/theorycovariance/tests.py | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index af69088d45..a54dd4ff7b 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -640,12 +640,7 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, space which is missed by the covariance matrix space: fmiss, as well as the projections of the shift vector onto each of the eigenvectors: projectors.""" w, v = evals_nonzero_basis - # Sorting real part of eigenvalues - w = np.real(w) v = np.real(v) - sort_indices = np.argsort(w) - w = w[sort_indices] - v = v[:, sort_indices] # NNLO-NLO shift vector f = -shx_vector[0].values.T[0] # Projecting the shift vector onto each of the eigenvectors @@ -653,7 +648,7 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, # Initialise array of zeros and set precision to same as FK tables projected_evectors = np.zeros((len(projectors), (len(f))), dtype=np.float32) for i, projector in enumerate(projectors): - projected_evectors[i] = projector*v[i] + projected_evectors[i] = projector*v[:,i] fmiss = f - np.sum(projected_evectors, axis=0) return w, v, projectors, f, fmiss From 5bb801bcecbcf9662a5e13d8cf852f32cebca787 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 13 Mar 2019 15:33:57 +0000 Subject: [PATCH 143/429] adding CMSWCHARMTOT to process dict --- validphys2/src/validphys/theorycovariance/construction.py | 1 + 1 file changed, 1 insertion(+) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 482faadf0f..2867f40402 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -214,6 +214,7 @@ def _process_lookup(name): "CMSDY2D11": "DY", "CMSWMU8TEV": "DY", "CMSWCHARMRAT": "DY", + "CMSWCHARMTOT": "DY", "LHCBZ940PB": "DY", "LHCBZEE2FB": "DY", "LHCBWZMU7TEV": "DY", From 9fe38edf4ef198a8b9d8e88ebc5e3d4f8516c960 Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Wed, 13 Mar 2019 15:38:59 +0000 Subject: [PATCH 144/429] Adding missing datasets to _dsorder --- validphys2/src/validphys/theorycovariance/output.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index 774813622c..188001e09d 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -132,7 +132,8 @@ def plot_covmat_heatmap(covmat, title, dataset_index_byprocess): 'D0WEASY', 'D0WMASY', 'ATLASWZRAP36PB', 'ATLASZHIGHMASS49FB', 'ATLASLOMASSDY11EXT', 'ATLASWZRAP11', 'ATLASZPT8TEVMDIST', 'ATLASZPT8TEVYDIST', 'CMSWEASY840PB', 'CMSWMASY47FB', - 'CMSWCHARMRAT', 'CMSDY2D11', 'CMSWMU8TEV', 'LHCBZ940PB', + 'CMSWCHARMRAT', 'CMSDY2D11', 'CMSWMU8TEV', 'CMSWCHARMTOT', + 'CMSZDIFF12', 'LHCBZ940PB', 'LHCBWZMU7TEV', 'LHCBWZMU8TEV', 'LHCBZEE2FB', 'ATLAS1JET11', 'CMSJETS11', 'CDFR2KT', 'ATLASTTBARTOT', 'ATLASTOPDIFF8TEVTRAPNORM', 'CMSTTBARTOT', 'CMSTOPDIFF8TEVTTRAPNORM') From b01d3110c56438b7ef97471a67156f8e1f56ce70 Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Wed, 13 Mar 2019 15:41:10 +0000 Subject: [PATCH 145/429] removing else: pass --- validphys2/src/validphys/theorycovariance/tests.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index a7df6afbd2..58bdefddf4 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -109,8 +109,6 @@ def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, mat[i][j] = -1 else: mat[i][j] = 0 - else: - pass dsnames = np.concatenate([ np.full(len(val.shifts), val.dataset_name, dtype=object) for val in matched_dataspecs_dataset_prediction_shift From 89c9dddb2240eb47948aa8517945aab256fc2215 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 13 Mar 2019 17:10:15 +0000 Subject: [PATCH 146/429] removed generation of duplicate theory_covmat, both loadfitcovmat and loadrepcovmat use the same theory covmat file. --- nnpdfcpp/src/nnfit/src/nnfit.cc | 25 ++++++++----------- validphys2/src/validphys/config.py | 9 +++++++ .../src/validphys/scripts/vp_setupfit.py | 6 +++-- 3 files changed, 24 insertions(+), 16 deletions(-) diff --git a/nnpdfcpp/src/nnfit/src/nnfit.cc b/nnpdfcpp/src/nnfit/src/nnfit.cc index 5602f9c7d1..1ffeacc08c 100644 --- a/nnpdfcpp/src/nnfit/src/nnfit.cc +++ b/nnpdfcpp/src/nnfit/src/nnfit.cc @@ -311,11 +311,10 @@ int main(int argc, char **argv) if (settings.IsThUncertainties()) { - string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_theory_covmat_custom.csv"; - string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv"; + string ThCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_theory_covmat.csv"; - exp->LoadRepCovMat(RepCovMatPath); - exp->LoadFitCovMat(FitCovMatPath); + exp->LoadRepCovMat(ThCovMatPath); + exp->LoadFitCovMat(ThCovMatPath); } Convolute(fitset.get(),exp.get(),theory.data()); @@ -406,11 +405,10 @@ void LoadAllDataAndSplit(NNPDFSettings const& settings, // read covmat from file if specified in the runcard if (settings.IsThUncertainties()) { - string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_theory_covmat_custom.csv"; - string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv"; + string ThCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_theory_covmat.csv"; - exp->LoadRepCovMat(RepCovMatPath); - exp->LoadFitCovMat(FitCovMatPath); + exp->LoadRepCovMat(ThCovMatPath); + exp->LoadFitCovMat(ThCovMatPath); } // Apply MC shifts @@ -579,13 +577,12 @@ void TrainValidSplit(NNPDFSettings const& settings, // read covmat from file if specified in the runcard if (settings.IsThUncertainties()) { - string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_theory_covmat_custom.csv"; - string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv"; + string ThCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_theory_covmat.csv"; - tr->LoadRepCovMat(RepCovMatPath, trCovMatMask); - tr->LoadFitCovMat(FitCovMatPath, trCovMatMask); + tr->LoadRepCovMat(ThCovMatPath, trCovMatMask); + tr->LoadFitCovMat(ThCovMatPath, trCovMatMask); - val->LoadRepCovMat(RepCovMatPath, valCovMatMask); - val->LoadFitCovMat(FitCovMatPath, valCovMatMask); + val->LoadRepCovMat(ThCovMatPath, valCovMatMask); + val->LoadFitCovMat(ThCovMatPath, valCovMatMask); } } diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 190c984020..86d1741724 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -688,6 +688,15 @@ def produce_fitting_covmat(self): fitting_covmat = theory_covmat_custom return fitting_covmat + @configparser.explicit_node + def produce_theory_covmat(self): + @functools.wraps(theory_covmat_custom) + def res(*args, **kwargs): + return theory_covmat_custom(*args, **kwargs) + #Set this to get the same filename regardless of the action. + res.__name__ = 'theory_covmat' + return res + def parse_speclabel(self, label:(str, type(None))): """A label for a dataspec. To be used in some plots""" return label diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index cb4717f7b1..308987b65d 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -60,6 +60,7 @@ RUNCARD_COPY_FILENAME = "filter.yml" FILTER_OUTPUT_FOLDER = "filter" +TABLE_OUTPUT_FOLDER = "tables" MD5_FILENAME = "md5" @@ -101,6 +102,8 @@ def init_output(self): # create output folder self.filter_path = self.output_path / FILTER_OUTPUT_FOLDER self.filter_path.mkdir(exist_ok=True) + self.table_folder = self.output_path / TABLE_OUTPUT_FOLDER + self.table_folder.mkdir(exist_ok=True) def save_md5(self): """Generate md5 key from file""" @@ -138,8 +141,7 @@ def from_yaml(cls, o, *args, **kwargs): raise ConfigError(f"Expecting input runcard to be a mapping, " f"not '{type(file_content)}'.") if file_content.get('theorycovmatconfig') is not None: - SETUPFIT_FIXED_CONFIG['actions_'].append('datacuts::theory::theorycovmatconfig::sampling_t0 sampling_covmat') - SETUPFIT_FIXED_CONFIG['actions_'].append('datacuts::theory::theorycovmatconfig::fitting_t0 fitting_covmat') + SETUPFIT_FIXED_CONFIG['actions_'].append('datacuts::theory::theorycovmatconfig theory_covmat') for k,v in SETUPFIT_DEFAULTS.items(): file_content.setdefault(k, v) file_content.update(SETUPFIT_FIXED_CONFIG) From eda10286489d1b1caa1cadb870b71c127b486ab8 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 13 Mar 2019 17:11:44 +0000 Subject: [PATCH 147/429] Tidy up construction.py and tests.py --- .../src/validphys/theorycovariance/construction.py | 2 +- validphys2/src/validphys/theorycovariance/tests.py | 12 ++++++------ 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 2867f40402..f4e0c8d16d 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -214,7 +214,7 @@ def _process_lookup(name): "CMSDY2D11": "DY", "CMSWMU8TEV": "DY", "CMSWCHARMRAT": "DY", - "CMSWCHARMTOT": "DY", + "CMSWCHARMTOT": "DY", "LHCBZ940PB": "DY", "LHCBZEE2FB": "DY", "LHCBWZMU7TEV": "DY", diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 58bdefddf4..3a30214640 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -54,7 +54,7 @@ def _check_valid_shift_matrix_threshold_method(shift_threshold:(int, float, None "method (1 or 2) was provided") check(method in opts, "Invalid choice of method for removing shift correlation matrix " -"elements. Please choose 1 or 2.") + "elements. Please choose 1 or 2.") LabeledShifts = namedtuple('LabeledShifts', ('experiment_name', 'dataset_name', 'shifts')) @@ -62,10 +62,10 @@ def _check_valid_shift_matrix_threshold_method(shift_threshold:(int, float, None @check_two_dataspecs def dataspecs_dataset_prediction_shift(matched_dataspecs_results, experiment_name, dataset_name): - """Compute the differnce in theory predictions between two dataspecs. + """Compute the difference in theory predictions between two dataspecs. This can be used in combination with `matched_datasets_from_dataspecs` It returns a ``LabeledShifts`` containing ``dataset_name``, - ``experiment_name`` and``shifts``. + ``experiment_name`` and ``shifts``. """ r1, r2 = matched_dataspecs_results res = r1[1].central_value - r2[1].central_value @@ -659,8 +659,8 @@ def theory_covmat_eigenvalues(theory_shift_test): projectors = np.ndarray.tolist(projectors) ratio= projectors/s table = pd.DataFrame([s[::-1], projectors[::-1], ratio[::-1]], - index = [r'$s_a$', r'$\delta_a$', r'$\delta_a/s_a$'], - columns = np.arange(1,len(s)+1,1)) + index = [r'$s_a$', r'$\delta_a$', r'$\delta_a/s_a$'], + columns = np.arange(1,len(s)+1,1)) return table def efficiency(theory_shift_test): @@ -744,7 +744,7 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): matrix = pd.DataFrame(matrix.values, index=tripleindex, columns=tripleindex) matrix.sort_index(0, inplace=True) matrix.sort_index(1, inplace=True) - oldindex=matrix.index.tolist() + oldindex = matrix.index.tolist() newindex = sorted(oldindex, key=_get_key) matrix = matrix.reindex(newindex) matrix = (matrix.T.reindex(newindex)).T From 198140e5977b6f5b9c27f207b9a1e1c8da9280bf Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 13 Mar 2019 17:38:49 +0000 Subject: [PATCH 148/429] revised name of covmat production rule for vp_setupfit --- validphys2/src/validphys/config.py | 12 +----------- validphys2/src/validphys/scripts/vp_setupfit.py | 3 ++- 2 files changed, 3 insertions(+), 12 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 86d1741724..b43f57dbcd 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -679,17 +679,7 @@ def produce_all_lumi_channels(self): return {'lumi_channels': self.parse_lumi_channels(list(LUMI_CHANNELS))} @configparser.explicit_node - def produce_sampling_covmat(self): - sampling_covmat = theory_covmat_custom - return sampling_covmat - - @configparser.explicit_node - def produce_fitting_covmat(self): - fitting_covmat = theory_covmat_custom - return fitting_covmat - - @configparser.explicit_node - def produce_theory_covmat(self): + def produce_nnfit_theory_covmat(self): @functools.wraps(theory_covmat_custom) def res(*args, **kwargs): return theory_covmat_custom(*args, **kwargs) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index 308987b65d..98d9606351 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -141,7 +141,8 @@ def from_yaml(cls, o, *args, **kwargs): raise ConfigError(f"Expecting input runcard to be a mapping, " f"not '{type(file_content)}'.") if file_content.get('theorycovmatconfig') is not None: - SETUPFIT_FIXED_CONFIG['actions_'].append('datacuts::theory::theorycovmatconfig theory_covmat') + SETUPFIT_FIXED_CONFIG['actions_'].append( + 'datacuts::theory::theorycovmatconfig nnfit_theory_covmat') for k,v in SETUPFIT_DEFAULTS.items(): file_content.setdefault(k, v) file_content.update(SETUPFIT_FIXED_CONFIG) From 720bc7558eb4212c268a2e7f4ba8c57109772715 Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Thu, 14 Mar 2019 09:42:47 +0000 Subject: [PATCH 149/429] Removing old test functions --- .../src/validphys/theorycovariance/tests.py | 179 +----------------- 1 file changed, 1 insertion(+), 178 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 3a30214640..e32605e0e0 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -42,20 +42,6 @@ matched_dataspecs_results = collect('results', ['dataspecs']) -@make_argcheck -def _check_valid_shift_matrix_threshold_method(shift_threshold:(int, float, None) = None, - method:(int, None) = None): - """Checks that a valid method 1 or 2 is chosen where a threshold for - removing elements of the shift correlation matrix has been specified""" - opts = {1,2} - if shift_threshold is not None: - check(method is not None, "A threshold for removing elements of the " - "shift correlation matrix has been specified but no choice of " - "method (1 or 2) was provided") - check(method in opts, - "Invalid choice of method for removing shift correlation matrix " - "elements. Please choose 1 or 2.") - LabeledShifts = namedtuple('LabeledShifts', ('experiment_name', 'dataset_name', 'shifts')) @@ -75,55 +61,6 @@ def dataspecs_dataset_prediction_shift(matched_dataspecs_results, experiment_nam matched_dataspecs_dataset_prediction_shift = collect( 'dataspecs_dataset_prediction_shift', ['dataspecs']) -@_check_valid_shift_matrix_threshold_method -def matched_datasets_shift_matrix(matched_dataspecs_dataset_prediction_shift, - matched_dataspecs_dataset_theory, - shift_threshold:(int, float, type(None)) = None, - method:(int, type(None)) = None): - """Produce a matrix out of the outer product of - ``dataspecs_dataset_prediction_shift``. The matrix will be a - pandas DataFrame, indexed similarly to ``experiments_index``. - Note that this produces the normalised shift matrix, i.e. it is - computed from shifts normalised to central theory.""" - all_shifts = np.concatenate( - [val.shifts for val in matched_dataspecs_dataset_prediction_shift]) - all_theory = np.concatenate( - [val.shifts for val in matched_dataspecs_dataset_theory]) - norm_shifts = all_shifts/all_theory - mat = np.outer(norm_shifts, norm_shifts) - for i, ival in enumerate(norm_shifts): - for j, jval in enumerate(norm_shifts): - if method == 1: - if (np.abs(ival) < shift_threshold) or (np.abs(jval) < shift_threshold): - mat[i][j] = 0 - elif mat[i][j] > 0: - mat[i][j] = 1 - else: - mat[i][j] = -1 - elif method == 2: - if (ival!=0) and (jval!=0): - if 1/shift_threshold <= np.abs(ival/jval) <= shift_threshold: - if mat[i][j] > 0: - mat[i][j] = 1 - else: - mat[i][j] = -1 - else: - mat[i][j] = 0 - dsnames = np.concatenate([ - np.full(len(val.shifts), val.dataset_name, dtype=object) - for val in matched_dataspecs_dataset_prediction_shift - ]) - point_indexes = np.concatenate([ - np.arange(len(val.shifts)) - for val in matched_dataspecs_dataset_prediction_shift - ]) - - index = pd.MultiIndex.from_arrays( - [dsnames, point_indexes], - names=["Dataset name", "Point"]) - - return pd.DataFrame(mat, columns=index, index=index) - def shift_vector(matched_dataspecs_dataset_prediction_shift, matched_dataspecs_dataset_theory): all_shifts = np.concatenate( @@ -198,34 +135,6 @@ def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_data theory_vectors.append(pd.DataFrame(theoryvector, index=index)) return theory_vectors - -@figure -def plot_matched_datasets_shift_matrix(matched_datasets_shift_matrix): - """Heatmap plot of matched_datasets_shift_matrix""" - return plot_covmat_heatmap(matched_datasets_shift_matrix, - "Shift outer product matrix") - -@table -def matched_datasets_shift_matrix_correlations(matched_datasets_shift_matrix): - mat = matched_datasets_shift_matrix.values - diag_minus_half = (np.diagonal(mat))**(-0.5) - corrmat = diag_minus_half[:, np.newaxis] * mat * diag_minus_half - corrmat = pd.DataFrame( - corrmat, - columns=matched_datasets_shift_matrix.columns, - index=matched_datasets_shift_matrix.index) - return corrmat - -@figure -def plot_matched_datasets_shift_matrix_correlations( - matched_datasets_shift_matrix): - """Heatmap plot of the correlations of - matched_datasets_shift_matrix. By construction these are - zero or one.""" - corrmat = matched_datasets_shift_matrix_correlations - return plot_corrmat_heatmap( - corrmat, "Shift outer product normalized (correlation) matrix") - all_matched_results = collect('matched_dataspecs_results', ['dataspecs']) @@ -243,7 +152,7 @@ def _check_correct_theory_combination_dataspecs(datapsecs_theoryids, return _check_correct_theory_combination.__wrapped__( datapsecs_theoryids, fivetheories) -#@_check_correct_theory_combination_dataspecs +@_check_correct_theory_combination_dataspecs def covs_pt_prescrip_dataspecs(combine_by_type_dataspecs, process_starting_points_dataspecs, datapsecs_theoryids, @@ -317,92 +226,6 @@ def theory_matrix_threshold(theory_threshold:(int, float) = 0): zero when comparing to shift correlation matrix""" return theory_threshold -@table -def shift_to_theory_ratio(thx_corrmat, shx_corrmat): - ratio = (thx_corrmat[0]/shx_corrmat[0]).fillna(0) - return ratio - -@figure -def shift_to_theory_ratio_plot(shift_to_theory_ratio): - matrix = shift_to_theory_ratio - matrix[((matrix==np.inf) | (matrix==-np.inf))] = 0 - fig, ax = plt.subplots(figsize=(15,15)) - matrixplot = ax.matshow(matrix, cmap=cm.Spectral_r) - fig.colorbar(matrixplot) - ax.set_title("Ratio of theory to shift correlation matrices") - ticklocs, ticklabels, startlocs = matrix_plot_labels(matrix) - plt.xticks(ticklocs, ticklabels, rotation=30, ha="right") - plt.gca().xaxis.tick_bottom() - plt.yticks(ticklocs, ticklabels) - return fig - -@figure -def shift_corrmat_plot(shx_corrmat): - # removing nans and setting them to 0 - fig = plot_corrmat_heatmap(shx_corrmat[0].fillna(0), - "Shift correlation matrix") - return fig - -@figure -def theory_corrmat_plot(thx_corrmat): - fig = plot_corrmat_heatmap(thx_corrmat[0], - "Theory correlation matrix") - return fig - -@table -def shift_corrmat_value_fractions(shx_corrmat): - mat = shx_corrmat[0].fillna(0).values - matsize = np.size(mat) - fracplus = 100*np.size(np.where(mat>0))/(2*matsize) - fracminus = 100*np.size(np.where(mat<0))/(2*matsize) - fraczero = 100*np.size(np.where(mat==0))/(2*matsize) - table = pd.DataFrame([fracplus, fracminus, fraczero], - index=[r'$f_{\rho=+1}$', - r'$f_{\rho=-1}$', - r'$f_{\rho=0}$'], - columns = ["% of total entries"]) - return table - -@table -def theory_corrmat_value_fractions(thx_corrmat, - theory_threshold:(int, float) = 0): - mat = thx_corrmat[0].values - # Initialise array of zeros and set precision to same as FK tables - newmat = np.zeros((len(mat),len(mat)), dtype=np.float32) - # coarse graining for comparison - newmat[mat>=theory_threshold]=1 - newmat[mat<=-theory_threshold]=-1 - matsize = np.size(mat) - fracplus = 100*np.size(np.where(newmat>0))/(2*matsize) - fracminus = 100*np.size(np.where(newmat<0))/(2*matsize) - fraczero = 100*np.size(np.where(newmat==0))/(2*matsize) - table = pd.DataFrame([fracplus, fracminus, fraczero], - index=[r'$\tilde{f}_{\rho=+1}$', - r'$\tilde{f}_{\rho=-1}$', - r'$\tilde{f}_{\rho=0}$'], - columns = ["% of total entries"]) - return table - -@table -def shift_theory_element_comparison(shx_corrmat, thx_corrmat, - theory_threshold:(int, float) = 0): - # coarse graining for comparison - thmat = thx_corrmat[0].values - # Initialise array of zeros and set precision to same as FK tables - newthmat = np.zeros((len(thmat),len(thmat)), dtype=np.float32) - newthmat[thmat>=theory_threshold]=1 - newthmat[thmat<=-theory_threshold]=-1 - shmat = shx_corrmat[0].fillna(0).values - num_non_zero = np.size(np.where(shmat!=0))/2 - fracsame = 100*np.size(np.where((shmat==newthmat) & (shmat!=0)))/(2*num_non_zero) - fracdiff = 100*np.size(np.where((shmat!=newthmat) & (shmat!=0)))/(2*num_non_zero) - table = pd.DataFrame([fracsame, fracdiff], - index=['same sign', - 'different signs'], - columns = ["% of total entries (where shift matrix is non-zero)"]) - return table - - @table def theory_corrmat_custom_dataspecs(theory_covmat_custom_dataspecs): """Calculates the theory correlation matrix for scale variations From 4f62c48742a509a21ed79551c02f696dbec0112d Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Thu, 14 Mar 2019 09:47:56 +0000 Subject: [PATCH 150/429] adding default for fivetheories in argcheck --- validphys2/src/validphys/theorycovariance/tests.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index e32605e0e0..eb84dd2c01 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -148,7 +148,7 @@ def process_starting_points_dataspecs(combine_by_type_dataspecs): @make_argcheck def _check_correct_theory_combination_dataspecs(datapsecs_theoryids, - fivetheories): + fivetheories:(str, type(None)) = None): return _check_correct_theory_combination.__wrapped__( datapsecs_theoryids, fivetheories) From 763d8ec2e7862326cded42cd49ed7d97573f378c Mon Sep 17 00:00:00 2001 From: wilsonm Date: Thu, 14 Mar 2019 12:25:49 +0000 Subject: [PATCH 151/429] changed hypothesis settings --- validphys2/src/validphys/tests/conftest.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/tests/conftest.py b/validphys2/src/validphys/tests/conftest.py index 44ebfec140..a04b0f5236 100644 --- a/validphys2/src/validphys/tests/conftest.py +++ b/validphys2/src/validphys/tests/conftest.py @@ -6,12 +6,15 @@ import pathlib import pytest +from hypothesis import settings from validphys.loader import FallbackLoader as Loader from validphys.core import ExperimentSpec from validphys import results - +#Adding this here to change the time of deadline from default (200ms) to 1000ms +settings.register_profile("extratime", deadline=1000) +settings.load_profile("extratime") #Fortunately py.test works much like reportengine and providers are #connected by argument names. From cab6296aa465ec4568c319f291d18ad23274f848 Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Thu, 14 Mar 2019 15:50:26 +0000 Subject: [PATCH 152/429] Update app.py --- validphys2/src/validphys/app.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/app.py b/validphys2/src/validphys/app.py index f8458504c0..ae6707c107 100644 --- a/validphys2/src/validphys/app.py +++ b/validphys2/src/validphys/app.py @@ -37,7 +37,7 @@ 'validphys.eff_exponents', 'validphys.paramfits.dataops', 'validphys.paramfits.plots', - 'validphys.theorycovariance', + 'validphys.theorycovariance.construction', 'validphys.theorycovariance.output', 'validphys.theorycovariance.tests', 'validphys.replica_selector', From daef705b307acdf5ecfd7901920dc3262ce1d6eb Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 14 Mar 2019 16:35:00 +0000 Subject: [PATCH 153/429] cleanup --- .../theorycovariance/construction.py | 1 - .../src/validphys/theorycovariance/output.py | 11 ------ .../src/validphys/theorycovariance/tests.py | 35 +++++++------------ 3 files changed, 12 insertions(+), 35 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 7c66a60e4c..d94476928d 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -8,7 +8,6 @@ import logging from collections import defaultdict, namedtuple -from math import inf import numpy as np import scipy.linalg as la import pandas as pd diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index 188001e09d..08a4631ea2 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -18,19 +18,8 @@ from reportengine.table import table from validphys import plotutils -from validphys.theorycovariance.construction import abs_chi2_data_theory_experiment -from validphys.theorycovariance.construction import abs_chi2_data_theory_dataset - -from validphys.results import experiments_covmat, experiments_normcovmat, experiments_corrmat from validphys.results import experiments_chi2_table -from validphys.theorycovariance.construction import theory_block_diag_covmat, theory_normblockcovmat -from validphys.theorycovariance.construction import theory_covmat_custom, theory_normcovmat_custom -from validphys.theorycovariance.construction import theory_blockcorrmat, theory_corrmat_custom -from validphys.theorycovariance.construction import experimentsplusblocktheory_normcovmat -from validphys.theorycovariance.construction import experimentsplustheory_normcovmat_custom -from validphys.theorycovariance.construction import experimentsplusblocktheory_corrmat -from validphys.theorycovariance.construction import experimentsplustheory_corrmat_custom from validphys.theorycovariance.construction import dataset_index_byprocess log = logging.getLogger(__name__) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index eb84dd2c01..01f3a29acd 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -11,32 +11,24 @@ import numpy as np import scipy.linalg as la import matplotlib.pyplot as plt -from matplotlib import cm import pandas as pd -from reportengine.checks import make_argcheck, check +from reportengine.checks import make_argcheck from reportengine.figure import figure from reportengine.table import table from reportengine import collect -from validphys.results import results from validphys.checks import check_two_dataspecs from validphys.theorycovariance.construction import _check_correct_theory_combination from validphys.theorycovariance.construction import combine_by_type, process_starting_points from validphys.theorycovariance.construction import theory_corrmat -from validphys.theorycovariance.construction import commondata_experiments, results_bytheoryids -from validphys.theorycovariance.construction import experiments_results_theory, data_theory_diff -from validphys.theorycovariance.construction import theoryids_experiments_central_values -from validphys.theorycovariance.construction import each_dataset_results_bytheory -from validphys.theorycovariance.construction import each_dataset_results, dataset_names from validphys.theorycovariance.construction import covmap, covs_pt_prescrip, theory_covmat_custom -from validphys.theorycovariance.construction import chi2_impact_custom, chi2_diag_only -from validphys.theorycovariance.construction import total_covmat_experiments, total_covmat_datasets, _process_lookup -from validphys.theorycovariance.construction import theory_diagcovmat, theory_covmat, _check_correct_theory_combination_theoryconfig, collected_theoryids +from validphys.theorycovariance.construction import _process_lookup +from validphys.theorycovariance.construction import _check_correct_theory_combination_theoryconfig from validphys.theorycovariance.output import matrix_plot_labels, _get_key -from validphys.theorycovariance.output import plot_covmat_heatmap, plot_corrmat_heatmap +from validphys.theorycovariance.output import plot_corrmat_heatmap log = logging.getLogger(__name__) @@ -83,7 +75,7 @@ def shift_vector(matched_dataspecs_dataset_prediction_shift, return pd.DataFrame(norm_shifts, index=index) def dataspecs_dataset_theory(matched_dataspecs_results, experiment_name, dataset_name): - central, *others = matched_dataspecs_results + central = matched_dataspecs_results[0] res = central[1].central_value return LabeledShifts(dataset_name=dataset_name, experiment_name=experiment_name, shifts=res) @@ -108,7 +100,7 @@ def theory_vector(matched_dataspecs_dataset_theory): return pd.DataFrame(all_theory, index=index) def dataspecs_dataset_alltheory(matched_dataspecs_results, experiment_name, dataset_name): - central, *others = matched_dataspecs_results + others = matched_dataspecs_results[1:] res = [other[1].central_value for other in others] return LabeledShifts(dataset_name=dataset_name, experiment_name=experiment_name, shifts=res) @@ -178,8 +170,7 @@ def all_matched_data_lengths(all_matched_datasets): lens.append(rlist[0].load().GetNData()) return lens -def matched_experiments_index(matched_dataspecs_experiment_name, - matched_dataspecs_dataset_name, +def matched_experiments_index(matched_dataspecs_dataset_name, all_matched_data_lengths): dsnames = matched_dataspecs_dataset_name lens = all_matched_data_lengths @@ -245,8 +236,7 @@ def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, the def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, collected_theoryids, fivetheories:(str, type(None)) = None, - seventheories:(str, type(None)) = None, - eigenvalue_cutoff:(bool, type(None)) = None): + seventheories:(str, type(None)) = None): """Projects the theory covariance matrix from the data space into the basis of non-zero eigenvalues, dependent on point-prescription. Then returns the eigenvalues (w) and eigenvectors (v) @@ -454,8 +444,7 @@ def shuffle_list(l, shift): v = P.dot(v_projected) return w, v -def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, - eigenvalue_cutoff:(bool, type(None)) = None): +def theory_shift_test(shx_vector, evals_nonzero_basis): """Compares the NNLO-NLO shift, f, with the eigenvectors and eigenvalues of the theory covariance matrix, and returns the component of the NNLO-NLO shift space which is missed by the covariance matrix space: fmiss, as well as the @@ -477,7 +466,8 @@ def theory_shift_test(thx_covmat, shx_vector, thx_vector, evals_nonzero_basis, def theory_covmat_eigenvalues(theory_shift_test): """Returns a table of s = sqrt(eigenvalue), the projector and the ratio of the two, ordered by largest eigenvalue.""" - w, v, projectors = theory_shift_test[:3] + w = theory_shift_test[0] + projectors = theory_shift_test[2] s = np.sqrt(np.abs(w)) projectors = np.ndarray.tolist(projectors) ratio= projectors/s @@ -508,8 +498,7 @@ def validation_theory_chi2(theory_shift_test): return th_chi2 @figure -def projector_eigenvalue_ratio(theory_shift_test, - eigenvalue_cutoff:(bool, type(None)) = None): +def projector_eigenvalue_ratio(theory_shift_test): """Produces a plot of the ratio between the projectors and the square roots of the corresponding eigenvalues.""" evals = theory_shift_test[0][::-1] From 0686331778e312e1d4720a67c1b12db266796329 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 15 Mar 2019 11:36:12 +0000 Subject: [PATCH 154/429] travis bug fix --- validphys2/src/validphys/tests/conftest.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/tests/conftest.py b/validphys2/src/validphys/tests/conftest.py index 44ebfec140..a04b0f5236 100644 --- a/validphys2/src/validphys/tests/conftest.py +++ b/validphys2/src/validphys/tests/conftest.py @@ -6,12 +6,15 @@ import pathlib import pytest +from hypothesis import settings from validphys.loader import FallbackLoader as Loader from validphys.core import ExperimentSpec from validphys import results - +#Adding this here to change the time of deadline from default (200ms) to 1000ms +settings.register_profile("extratime", deadline=1000) +settings.load_profile("extratime") #Fortunately py.test works much like reportengine and providers are #connected by argument names. From 5301f1a55c581d66fc0ce3716a7b3c3b4af450b9 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Fri, 15 Mar 2019 11:40:35 +0000 Subject: [PATCH 155/429] Add 9pt global covmat plots runcard --- .../covmat_plots/9pt_global.yaml | 148 ++++++++++++++++++ .../covmat_plots/template_point.md | 54 +++++++ 2 files changed, 202 insertions(+) create mode 100644 validphys2/thcov_paper_runcards/covmat_plots/9pt_global.yaml create mode 100644 validphys2/thcov_paper_runcards/covmat_plots/template_point.md diff --git a/validphys2/thcov_paper_runcards/covmat_plots/9pt_global.yaml b/validphys2/thcov_paper_runcards/covmat_plots/9pt_global.yaml new file mode 100644 index 0000000000..feef6fa5b7 --- /dev/null +++ b/validphys2/thcov_paper_runcards/covmat_plots/9pt_global.yaml @@ -0,0 +1,148 @@ +meta: + author: Cameron Voisey + keywords: [theory uncertainties, 9-point] + title: NLO 9-point variations for 5 process types - DIS CC, DIS NC, DY, Top, Jets + +default_theory: + - theoryid: 163 + +theoryids: + - 163 + - 177 + - 176 + - 179 + - 174 + - 180 + - 173 + - 175 + - 178 + +dataspecs: + - theoryid: 163 + speclabel: $(\xi_F,\xi_R)=(1,1)$ + - theoryid: 177 + speclabel: $(\xi_F,\xi_R)=(2,1)$ + - theoryid: 176 + speclabel: $(\xi_F,\xi_R)=(0.5,1)$ + - theoryid: 179 + speclabel: $(\xi_F,\xi_R)=(1,2)$ + - theoryid: 174 + speclabel: $(\xi_F,\xi_R)=(1,0.5)$ + - theoryid: 180 + speclabel: $(\xi_F,\xi_R)=(2,2)$ + - theoryid: 173 + speclabel: $(\xi_F,\xi_R)=(0.5,0.5)$ + - theoryid: 175 + speclabel: $(\xi_F,\xi_R)=(2,0.5)$ + - theoryid: 178 + speclabel: $(\xi_F,\xi_R)=(0.5,2)$ + +normalize_to: 1 + +# Taken from runcard for theory covmat fit +t0pdfset : 180421-lr-nlo-central_global # PDF set to generate t0 covmat +q2min : 13.96 # Q2 minimum +w2min : 12.5 # W2 minimum +combocuts : NNPDF31 # NNPDF3.0 final kin. cuts +jetptcut_tev : 0 # jet pt cut for tevatron +jetptcut_lhc : 0 # jet pt cut for lhc +wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions +jetycut_tev : 1e30 # jet rap. cut for tevatron +jetycut_lhc : 1e30 # jet rap. cut for lhc +dymasscut_min: 0 # dy inv.mass. min cut +dymasscut_max: 1e30 # dy inv.mass. max cut +jetcfactcut : 1e30 # jet cfact. cut + +use_cuts: "fromintersection" +cuts_intersection_spec: + - theoryid: 163 + - theoryid: 53 + +#fit: +#use_cuts: fromfit + +pdf: NNPDF31_nlo_as_0118 + +experiments: +# Fixed target DIS + - experiment: NMC + datasets: + - dataset: NMCPD + - dataset: NMC + - experiment: SLAC + datasets: + - dataset: SLACP + - dataset: SLACD + - experiment: BCDMS + datasets: + - dataset: BCDMSP + - dataset: BCDMSD + - experiment: NTVDMN + datasets: + - dataset: NTVNUDMN + - dataset: NTVNBDMN + - experiment: CHORUS + datasets: + - dataset: CHORUSNU + - dataset: CHORUSNB + - experiment: HERAF2CHARM + datasets: + - dataset: HERAF2CHARM + - experiment: HERACOMB + datasets: + - dataset: HERACOMBNCEM + - dataset: HERACOMBNCEP460 + - dataset: HERACOMBNCEP575 + - dataset: HERACOMBNCEP820 + - dataset: HERACOMBNCEP920 + - dataset: HERACOMBCCEM + - dataset: HERACOMBCCEP + - experiment: ATLAS + datasets: + - dataset: ATLASWZRAP36PB + - dataset: ATLASZHIGHMASS49FB + - dataset: ATLASLOMASSDY11EXT + - dataset: ATLASWZRAP11 + - dataset: ATLAS1JET11 + - dataset: ATLASZPT8TEVMDIST + - dataset: ATLASZPT8TEVYDIST + - dataset: ATLASTTBARTOT + - dataset: ATLASTOPDIFF8TEVTRAPNORM + - experiment: CMS + datasets: + - dataset: CMSWEASY840PB + - dataset: CMSWMASY47FB + - dataset: CMSWCHARMRAT + - dataset: CMSWCHARMTOT # Not included in past + - dataset: CMSDY2D11 + - dataset: CMSWMU8TEV + - dataset: CMSZDIFF12 # Not included in past (because of [NRM]) + - dataset: CMSJETS11 + - dataset: CMSTTBARTOT + - dataset: CMSTOPDIFF8TEVTTRAPNORM + - experiment: LHCb + datasets: + - dataset: LHCBZ940PB + - dataset: LHCBZEE2FB + - dataset: LHCBWZMU7TEV # Not included in past (because of [NRM]) + - dataset: LHCBWZMU8TEV # Not included in past (because of [NRM]) + - experiment: CDF + datasets: + - dataset: CDFZRAP + - dataset: CDFR2KT + - experiment: D0 + datasets: + - dataset: D0ZRAP + - dataset: D0WEASY + - dataset: D0WMASY + +template: template_point.md + +dataset_report: + meta: Null + template_text: | + ## Scale variations as a function of the kinematics for {@dataset_name@} + {@plot_fancy_dataspecs@} + +actions_: + - report(main=true) diff --git a/validphys2/thcov_paper_runcards/covmat_plots/template_point.md b/validphys2/thcov_paper_runcards/covmat_plots/template_point.md new file mode 100644 index 0000000000..7368bb3760 --- /dev/null +++ b/validphys2/thcov_paper_runcards/covmat_plots/template_point.md @@ -0,0 +1,54 @@ +Covariance matrices +------------------- +{@with default_theory@} + {@plot_normexpcovmat_heatmap@} + {@plot_normthcovmat_heatmap_custom@} +{@endwith@} + +Correlation matrices +-------------------- +{@with default_theory@} + {@plot_expcorrmat_heatmap@} + {@plot_thcorrmat_heatmap_custom@} + {@plot_expplusthcorrmat_heatmap_custom@} +{@endwith@} + +Diagonal elements of covariance matrices +---------------------------------------- +{@with default_theory@} + {@plot_diag_cov_comparison@} +{@endwith@} + +Experimental $\chi^2$ +--------------------- +{@with default_theory@} + {@total_experiments_chi2@} + +Total (exp. + th.) $\chi^2$ +--------------------------- + {@chi2_impact_custom@} + +Experimental $\chi^2$ by dataset +-------------------------------- + {@experiments_chi2_table@} + +Total (exp. + th.) $\chi^2$ by dataset +-------------------------------------- + {@experiments_chi2_table_theory@} + +$\chi^2$ including only diagonal theory elements +------------------------------------------------ + {@chi2_diag_only@} + +Impact of theory covariance matrix on $\chi^2$s +----------------------------------------------- + {@plot_datasets_chi2_theory@} +{@endwith@} + +Scale variations as a function of the kinematics +------------------------------------------------ +{@with matched_datasets_from_dataspecs@} + [Plots for dataset ' {@dataset_name@} ']({@dataset_report report@}) +{@endwith@} + + From 23273f989bc4307adf68115b628403181d9eab5b Mon Sep 17 00:00:00 2001 From: Cameron Voisey <32741139+voisey@users.noreply.github.com> Date: Fri, 15 Mar 2019 11:41:37 +0000 Subject: [PATCH 156/429] Delete template_point.md --- .../covmat_plots/template_point.md | 54 ------------------- 1 file changed, 54 deletions(-) delete mode 100644 validphys2/thcov_paper_runcards/covmat_plots/template_point.md diff --git a/validphys2/thcov_paper_runcards/covmat_plots/template_point.md b/validphys2/thcov_paper_runcards/covmat_plots/template_point.md deleted file mode 100644 index 7368bb3760..0000000000 --- a/validphys2/thcov_paper_runcards/covmat_plots/template_point.md +++ /dev/null @@ -1,54 +0,0 @@ -Covariance matrices -------------------- -{@with default_theory@} - {@plot_normexpcovmat_heatmap@} - {@plot_normthcovmat_heatmap_custom@} -{@endwith@} - -Correlation matrices --------------------- -{@with default_theory@} - {@plot_expcorrmat_heatmap@} - {@plot_thcorrmat_heatmap_custom@} - {@plot_expplusthcorrmat_heatmap_custom@} -{@endwith@} - -Diagonal elements of covariance matrices ----------------------------------------- -{@with default_theory@} - {@plot_diag_cov_comparison@} -{@endwith@} - -Experimental $\chi^2$ ---------------------- -{@with default_theory@} - {@total_experiments_chi2@} - -Total (exp. + th.) $\chi^2$ ---------------------------- - {@chi2_impact_custom@} - -Experimental $\chi^2$ by dataset --------------------------------- - {@experiments_chi2_table@} - -Total (exp. + th.) $\chi^2$ by dataset --------------------------------------- - {@experiments_chi2_table_theory@} - -$\chi^2$ including only diagonal theory elements ------------------------------------------------- - {@chi2_diag_only@} - -Impact of theory covariance matrix on $\chi^2$s ------------------------------------------------ - {@plot_datasets_chi2_theory@} -{@endwith@} - -Scale variations as a function of the kinematics ------------------------------------------------- -{@with matched_datasets_from_dataspecs@} - [Plots for dataset ' {@dataset_name@} ']({@dataset_report report@}) -{@endwith@} - - From b19a9064931feb4525eadcd5198d848c51456675 Mon Sep 17 00:00:00 2001 From: Cameron Voisey <32741139+voisey@users.noreply.github.com> Date: Fri, 15 Mar 2019 11:41:47 +0000 Subject: [PATCH 157/429] Delete 9pt_global.yaml --- .../covmat_plots/9pt_global.yaml | 148 ------------------ 1 file changed, 148 deletions(-) delete mode 100644 validphys2/thcov_paper_runcards/covmat_plots/9pt_global.yaml diff --git a/validphys2/thcov_paper_runcards/covmat_plots/9pt_global.yaml b/validphys2/thcov_paper_runcards/covmat_plots/9pt_global.yaml deleted file mode 100644 index feef6fa5b7..0000000000 --- a/validphys2/thcov_paper_runcards/covmat_plots/9pt_global.yaml +++ /dev/null @@ -1,148 +0,0 @@ -meta: - author: Cameron Voisey - keywords: [theory uncertainties, 9-point] - title: NLO 9-point variations for 5 process types - DIS CC, DIS NC, DY, Top, Jets - -default_theory: - - theoryid: 163 - -theoryids: - - 163 - - 177 - - 176 - - 179 - - 174 - - 180 - - 173 - - 175 - - 178 - -dataspecs: - - theoryid: 163 - speclabel: $(\xi_F,\xi_R)=(1,1)$ - - theoryid: 177 - speclabel: $(\xi_F,\xi_R)=(2,1)$ - - theoryid: 176 - speclabel: $(\xi_F,\xi_R)=(0.5,1)$ - - theoryid: 179 - speclabel: $(\xi_F,\xi_R)=(1,2)$ - - theoryid: 174 - speclabel: $(\xi_F,\xi_R)=(1,0.5)$ - - theoryid: 180 - speclabel: $(\xi_F,\xi_R)=(2,2)$ - - theoryid: 173 - speclabel: $(\xi_F,\xi_R)=(0.5,0.5)$ - - theoryid: 175 - speclabel: $(\xi_F,\xi_R)=(2,0.5)$ - - theoryid: 178 - speclabel: $(\xi_F,\xi_R)=(0.5,2)$ - -normalize_to: 1 - -# Taken from runcard for theory covmat fit -t0pdfset : 180421-lr-nlo-central_global # PDF set to generate t0 covmat -q2min : 13.96 # Q2 minimum -w2min : 12.5 # W2 minimum -combocuts : NNPDF31 # NNPDF3.0 final kin. cuts -jetptcut_tev : 0 # jet pt cut for tevatron -jetptcut_lhc : 0 # jet pt cut for lhc -wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions -jetycut_tev : 1e30 # jet rap. cut for tevatron -jetycut_lhc : 1e30 # jet rap. cut for lhc -dymasscut_min: 0 # dy inv.mass. min cut -dymasscut_max: 1e30 # dy inv.mass. max cut -jetcfactcut : 1e30 # jet cfact. cut - -use_cuts: "fromintersection" -cuts_intersection_spec: - - theoryid: 163 - - theoryid: 53 - -#fit: -#use_cuts: fromfit - -pdf: NNPDF31_nlo_as_0118 - -experiments: -# Fixed target DIS - - experiment: NMC - datasets: - - dataset: NMCPD - - dataset: NMC - - experiment: SLAC - datasets: - - dataset: SLACP - - dataset: SLACD - - experiment: BCDMS - datasets: - - dataset: BCDMSP - - dataset: BCDMSD - - experiment: NTVDMN - datasets: - - dataset: NTVNUDMN - - dataset: NTVNBDMN - - experiment: CHORUS - datasets: - - dataset: CHORUSNU - - dataset: CHORUSNB - - experiment: HERAF2CHARM - datasets: - - dataset: HERAF2CHARM - - experiment: HERACOMB - datasets: - - dataset: HERACOMBNCEM - - dataset: HERACOMBNCEP460 - - dataset: HERACOMBNCEP575 - - dataset: HERACOMBNCEP820 - - dataset: HERACOMBNCEP920 - - dataset: HERACOMBCCEM - - dataset: HERACOMBCCEP - - experiment: ATLAS - datasets: - - dataset: ATLASWZRAP36PB - - dataset: ATLASZHIGHMASS49FB - - dataset: ATLASLOMASSDY11EXT - - dataset: ATLASWZRAP11 - - dataset: ATLAS1JET11 - - dataset: ATLASZPT8TEVMDIST - - dataset: ATLASZPT8TEVYDIST - - dataset: ATLASTTBARTOT - - dataset: ATLASTOPDIFF8TEVTRAPNORM - - experiment: CMS - datasets: - - dataset: CMSWEASY840PB - - dataset: CMSWMASY47FB - - dataset: CMSWCHARMRAT - - dataset: CMSWCHARMTOT # Not included in past - - dataset: CMSDY2D11 - - dataset: CMSWMU8TEV - - dataset: CMSZDIFF12 # Not included in past (because of [NRM]) - - dataset: CMSJETS11 - - dataset: CMSTTBARTOT - - dataset: CMSTOPDIFF8TEVTTRAPNORM - - experiment: LHCb - datasets: - - dataset: LHCBZ940PB - - dataset: LHCBZEE2FB - - dataset: LHCBWZMU7TEV # Not included in past (because of [NRM]) - - dataset: LHCBWZMU8TEV # Not included in past (because of [NRM]) - - experiment: CDF - datasets: - - dataset: CDFZRAP - - dataset: CDFR2KT - - experiment: D0 - datasets: - - dataset: D0ZRAP - - dataset: D0WEASY - - dataset: D0WMASY - -template: template_point.md - -dataset_report: - meta: Null - template_text: | - ## Scale variations as a function of the kinematics for {@dataset_name@} - {@plot_fancy_dataspecs@} - -actions_: - - report(main=true) From 6ce6fc41ada2a746572d4f9c48c0d840cf6481c6 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Fri, 15 Mar 2019 14:08:44 +0000 Subject: [PATCH 158/429] Tidy up theory covariance files --- .../theorycovariance/construction.py | 11 ++- .../src/validphys/theorycovariance/output.py | 13 ++-- .../src/validphys/theorycovariance/tests.py | 68 +++++++++---------- 3 files changed, 44 insertions(+), 48 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index d94476928d..3baa742fd5 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -26,7 +26,7 @@ ('theoryids',)) def _check_correct_theory_combination_internal(theoryids, - fivetheories:(str, type(None)) = None): + fivetheories:(str, type(None)) = None): """Checks that a valid theory combination corresponding to an existing prescription has been inputted""" l = len(theoryids) @@ -64,13 +64,13 @@ def _check_correct_theory_combination_internal(theoryids, "prescription for theory covariance matrix calculation") collected_theoryids = collect('theoryids', - ['theoryconfig',]) + ['theoryconfig',]) _check_correct_theory_combination = make_argcheck(_check_correct_theory_combination_internal) @make_argcheck def _check_correct_theory_combination_theoryconfig(collected_theoryids, - fivetheories:(str, type(None))=None): + fivetheories:(str, type(None)) = None): _check_correct_theory_combination_internal(collected_theoryids[0], fivetheories) def dataset_index_byprocess(experiments_index): @@ -83,7 +83,7 @@ def dataset_index_byprocess(experiments_index): processnames = [_process_lookup(dsname) for dsname in dsnames] experiments_index.droplevel(level="experiment") newindex = pd.MultiIndex.from_arrays([processnames, dsnames, ids], - names = ("process", "dataset", "id")) + names = ("process", "dataset", "id")) return newindex def make_scale_var_covmat(predictions): @@ -666,5 +666,4 @@ def abs_chi2_data_diagtheory_dataset(each_dataset_results, total_covmat_diagtheory_datasets): """For a diagonal theory covmat""" return abs_chi2_data_theory_dataset(each_dataset_results, - total_covmat_diagtheory_datasets) - + total_covmat_diagtheory_datasets) \ No newline at end of file diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index 08a4631ea2..19fa260eac 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -81,7 +81,7 @@ def plot_covmat_heatmap(covmat, title, dataset_index_byprocess): of experiments and datasets listed in the runcard. Otherwise the labels will not correspond to the correct points.""" df = pd.DataFrame(covmat.values, index=dataset_index_byprocess, - columns=dataset_index_byprocess) + columns=dataset_index_byprocess) df.sort_index(0, inplace=True) df.sort_index(1, inplace=True) oldindex = df.index.tolist() @@ -234,7 +234,7 @@ def plot_normexpplusthcovmat_heatmap_custom(experimentsplustheory_normcovmat_cus l = len(theoryids) fig = plot_covmat_heatmap(experimentsplustheory_normcovmat_custom, f"Experiment + theory covariance matrix for {l} points", - dataset_index_byprocess) + dataset_index_byprocess) return fig @figure @@ -262,9 +262,10 @@ def plot_blockcovdiff_heatmap(theory_block_diag_covmat, experiments_covmat, """Matrix plot (thcov + expcov)/expcov""" df = (theory_block_diag_covmat.as_matrix()+experiments_covmat.values )/np.mean(experiments_covmat.values) - fig = plot_covmat_heatmap(df,"(Theory + experiment)/mean(experiment)" + + fig = plot_covmat_heatmap(df, + "(Theory + experiment)/mean(experiment)" + "for block diagonal theory covmat by dataset", - dataset_index_byprocess) + dataset_index_byprocess) return fig @figure @@ -277,7 +278,7 @@ def plot_covdiff_heatmap_custom(theory_covmat_custom, experiments_covmat, fig = plot_covmat_heatmap(df, "(Theory + experiment)/mean(experiment)" + f"covariance matrices for {l} points", - dataset_index_byprocess) + dataset_index_byprocess) return fig @figure @@ -371,4 +372,4 @@ def plot_datasets_chi2_theory(experiments, datalabels=["experiment + theory", "experiment"]) ax.set_title(r"$\chi^2$ distribution for datasets") ax.legend(fontsize=14) - return fig + return fig \ No newline at end of file diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 01f3a29acd..8114eed4ec 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -68,7 +68,6 @@ def shift_vector(matched_dataspecs_dataset_prediction_shift, np.arange(len(val.shifts)) for val in matched_dataspecs_dataset_prediction_shift ]) - index = pd.MultiIndex.from_arrays( [dsnames, point_indexes], names=["Dataset name", "Point"]) @@ -93,7 +92,6 @@ def theory_vector(matched_dataspecs_dataset_theory): np.arange(len(val.shifts)) for val in matched_dataspecs_dataset_theory ]) - index = pd.MultiIndex.from_arrays( [dsnames, point_indexes], names=["Dataset name", "Point"]) @@ -133,24 +131,24 @@ def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_data def combine_by_type_dataspecs(all_matched_results, matched_dataspecs_dataset_name): return combine_by_type(all_matched_results, matched_dataspecs_dataset_name) -datapsecs_theoryids = collect('theoryid', ['theoryconfig', 'original', 'dataspecs']) +dataspecs_theoryids = collect('theoryid', ['theoryconfig', 'original', 'dataspecs']) def process_starting_points_dataspecs(combine_by_type_dataspecs): return process_starting_points(combine_by_type_dataspecs) @make_argcheck -def _check_correct_theory_combination_dataspecs(datapsecs_theoryids, +def _check_correct_theory_combination_dataspecs(dataspecs_theoryids, fivetheories:(str, type(None)) = None): return _check_correct_theory_combination.__wrapped__( - datapsecs_theoryids, fivetheories) + dataspecs_theoryids, fivetheories) @_check_correct_theory_combination_dataspecs def covs_pt_prescrip_dataspecs(combine_by_type_dataspecs, - process_starting_points_dataspecs, - datapsecs_theoryids, - fivetheories: (str, type(None)) = None): + process_starting_points_dataspecs, + dataspecs_theoryids, + fivetheories: (str, type(None)) = None): return covs_pt_prescrip(combine_by_type_dataspecs, process_starting_points_dataspecs, - datapsecs_theoryids, fivetheories) + dataspecs_theoryids, fivetheories) def covmap_dataspecs(combine_by_type_dataspecs, matched_dataspecs_dataset_name): return covmap(combine_by_type_dataspecs, matched_dataspecs_dataset_name) @@ -182,7 +180,6 @@ def matched_experiments_index(matched_dataspecs_dataset_name, np.arange(l) for l in lens ]) - index = pd.MultiIndex.from_arrays( [dsnames, point_indexes], names=["Dataset name", "Point"]) @@ -190,7 +187,7 @@ def matched_experiments_index(matched_dataspecs_dataset_name, @table def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, - matched_experiments_index): + matched_experiments_index): return theory_covmat_custom(covs_pt_prescrip_dataspecs, covmap_dataspecs, matched_experiments_index) @@ -201,10 +198,10 @@ def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, ['combined_shift_and_theory_dataspecs', 'shiftconfig']) thx_covmat = collect('theory_covmat_custom_dataspecs', - ['combined_shift_and_theory_dataspecs', 'theoryconfig']) + ['combined_shift_and_theory_dataspecs', 'theoryconfig']) combined_dataspecs_results = collect('all_matched_results', - ['combined_shift_and_theory_dataspecs', 'theoryconfig']) + ['combined_shift_and_theory_dataspecs', 'theoryconfig']) shx_vector = collect('shift_vector', ['combined_shift_and_theory_dataspecs', 'shiftconfig']) @@ -253,10 +250,10 @@ def shuffle_list(l, shift): covmat = (thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0]))) # constructing vectors of shifts due to scale variation diffs = [((thx_vector[0] - scalevarvector)/thx_vector[0]) - for scalevarvector in allthx_vector[0]] - # number of points in point prescription + for scalevarvector in allthx_vector[0]] + # number of points in point prescription num_pts = len(diffs) + 1 - # constructing dictionary of datasets in each process type + # constructing dictionary of datasets in each process type indexlist = list(diffs[0].index.values) procdict = {} for index in indexlist: @@ -287,7 +284,7 @@ def shuffle_list(l, shift): # and total vectors are notated like # (mu_0; mu_1, mu_2, ..., mu_p) if num_pts == 3: - # N.B. mu_0 correlated with mu_i + # N.B. mu_0 correlated with mu_i xs = [] pps = splitdiffs[::(num_pts-1)] mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] @@ -308,7 +305,7 @@ def shuffle_list(l, shift): zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] xs = [] - # Constructing (+; 0, 0, 0 ...) + # Constructing (+; 0, 0, 0 ...) # (-; 0, 0, 0 ...) # (0; +, +, + ...) xs.append(sum(pzs)) @@ -317,19 +314,19 @@ def shuffle_list(l, shift): # Constructing the p vectors with one minus # (0; -, +, + ...) + cyclic for procloc, zm in enumerate(zms): - newvec = zps[0].copy() - newvec.loc[:] = 0 - subzps = zps.copy() - del subzps[procloc] - newvec = newvec + sum(subzps) + zm - xs.append(newvec) + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) elif (num_pts == 5) and (fivetheories == "bar"): pps = splitdiffs[::(num_pts-1)] mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] pms = shuffle_list(splitdiffs,2)[::(num_pts-1)] mps = shuffle_list(splitdiffs,3)[::(num_pts-1)] xs = [] - # Constructing (+/-; +, + ...) + # Constructing (+/-; +, + ...) xs.append(sum(pps)) xs.append(sum(mps)) # Constructing the 2p vectors with one minus @@ -341,7 +338,7 @@ def shuffle_list(l, shift): del subpps[procloc] newvec = newvec + sum(subpps) + pm xs.append(newvec) - # (-; -, +, + ...) + cyclic + # (-; -, +, + ...) + cyclic for procloc, mm in enumerate(mms): newvec = mms[0].copy() newvec.loc[:] = 0 @@ -357,7 +354,7 @@ def shuffle_list(l, shift): pps = shuffle_list(splitdiffs,4)[::(num_pts-1)] mms = shuffle_list(splitdiffs,5)[::(num_pts-1)] xs = [] - # 7pt is the sum of 3pts and 5pts + # 7pt is the sum of 3pts and 5pts # 3pt-like part: xs.append(sum(pps)) for procloc, mm in enumerate(mms): @@ -388,11 +385,11 @@ def shuffle_list(l, shift): pms = shuffle_list(splitdiffs,6)[::(num_pts-1)] mps = shuffle_list(splitdiffs,7)[::(num_pts-1)] xs = [] - # Constructing (+/-/0; +, +, ...) + # Constructing (+/-/0; +, +, ...) xs.append(sum(pps)) xs.append(sum(mps)) xs.append(sum(zps)) - # Constructing (+/-/0; -, +, + ...) + cyclic + # Constructing (+/-/0; -, +, + ...) + cyclic for procloc, zm in enumerate(zms): newvec = zps[0].copy() newvec.loc[:] = 0 @@ -414,7 +411,7 @@ def shuffle_list(l, shift): del submps[procloc] newvec = newvec + sum(submps) + mm xs.append(newvec) - # Constructing (+/-; 0, +, +, ...) + cyclic + # Constructing (+/-; 0, +, +, ...) + cyclic for procloc, pz in enumerate(pzs): newvec = pps[0].copy() newvec.loc[:] = 0 @@ -429,18 +426,18 @@ def shuffle_list(l, shift): del submps[procloc] newvec = newvec + sum(submps) + mz xs.append(newvec) - # ------------------------------------------------ + # ------------------------------------------------ # Orthonormalising vectors according to Gram-Schmidt ys = [x/np.linalg.norm(x) for x in xs] for i in range(1, len(xs)): for j in range(0,i): ys[i] = ys[i] - (ys[i].T.dot(ys[j]))[0][0]*ys[j]/np.linalg.norm(ys[j]) ys[i] = ys[i]/np.linalg.norm(ys[i]) - # Projecting covariance matrix onto subspace of non-zero eigenvalues + # Projecting covariance matrix onto subspace of non-zero eigenvalues P = pd.concat(ys, axis=1) projected_matrix = (P.T).dot(covmat.dot(P)) w, v_projected = la.eigh(projected_matrix) - # Finding eigenvectors in data space + # Finding eigenvectors in data space v = P.dot(v_projected) return w, v @@ -472,7 +469,7 @@ def theory_covmat_eigenvalues(theory_shift_test): projectors = np.ndarray.tolist(projectors) ratio= projectors/s table = pd.DataFrame([s[::-1], projectors[::-1], ratio[::-1]], - index = [r'$s_a$', r'$\delta_a$', r'$\delta_a/s_a$'], + index = [r'$s_a$', r'$\delta_a$', r'$\delta_a/s_a$'], columns = np.arange(1,len(s)+1,1)) return table @@ -576,5 +573,4 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): ax.set_ylabel("% of central theory", fontsize=20) ax.legend(fontsize=20) ax.yaxis.set_tick_params(labelsize=20) - return fig - + return fig \ No newline at end of file From 22f6ad9ba4a6659c3179ea3caacf4ea263e6d1af Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Fri, 15 Mar 2019 14:40:39 +0000 Subject: [PATCH 159/429] Changing P to p --- validphys2/src/validphys/theorycovariance/tests.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 8114eed4ec..f0781c1ad1 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -434,11 +434,11 @@ def shuffle_list(l, shift): ys[i] = ys[i] - (ys[i].T.dot(ys[j]))[0][0]*ys[j]/np.linalg.norm(ys[j]) ys[i] = ys[i]/np.linalg.norm(ys[i]) # Projecting covariance matrix onto subspace of non-zero eigenvalues - P = pd.concat(ys, axis=1) - projected_matrix = (P.T).dot(covmat.dot(P)) + p = pd.concat(ys, axis=1) + projected_matrix = (p.T).dot(covmat.dot(p)) w, v_projected = la.eigh(projected_matrix) # Finding eigenvectors in data space - v = P.dot(v_projected) + v = p.dot(v_projected) return w, v def theory_shift_test(shx_vector, evals_nonzero_basis): @@ -573,4 +573,4 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): ax.set_ylabel("% of central theory", fontsize=20) ax.legend(fontsize=20) ax.yaxis.set_tick_params(labelsize=20) - return fig \ No newline at end of file + return fig From b0ecf49f831c9bcfb2c3f67fbfb961a9bbfdabb9 Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Fri, 15 Mar 2019 15:35:22 +0000 Subject: [PATCH 160/429] adding new line at end of file back --- validphys2/src/validphys/theorycovariance/construction.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 3baa742fd5..23b2b3236c 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -666,4 +666,4 @@ def abs_chi2_data_diagtheory_dataset(each_dataset_results, total_covmat_diagtheory_datasets): """For a diagonal theory covmat""" return abs_chi2_data_theory_dataset(each_dataset_results, - total_covmat_diagtheory_datasets) \ No newline at end of file + total_covmat_diagtheory_datasets) From 37d07a2d4f196b90009d7949e4a7f1daf2b3a24d Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Fri, 15 Mar 2019 15:36:25 +0000 Subject: [PATCH 161/429] add newline at end --- validphys2/src/validphys/theorycovariance/output.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index 19fa260eac..4a3f3a683b 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -372,4 +372,4 @@ def plot_datasets_chi2_theory(experiments, datalabels=["experiment + theory", "experiment"]) ax.set_title(r"$\chi^2$ distribution for datasets") ax.legend(fontsize=14) - return fig \ No newline at end of file + return fig From f0de4164db23f83bbb8a1660ed3097580c00d333 Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Fri, 15 Mar 2019 15:38:15 +0000 Subject: [PATCH 162/429] add newline back --- validphys2/src/validphys/theorycovariance/tests.py | 1 + 1 file changed, 1 insertion(+) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index f0781c1ad1..9e298806dd 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -574,3 +574,4 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): ax.legend(fontsize=20) ax.yaxis.set_tick_params(labelsize=20) return fig + From 0cb122e1331d8d05e1617c29e53b11168244317c Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Fri, 15 Mar 2019 16:46:16 -0400 Subject: [PATCH 163/429] More on renaming data sets --- nnpdfcpp/data/commondata/31systematics/postprocess_jets.sh | 2 +- nnpdfcpp/data/commondata/31systematics/process_jets.sh | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/nnpdfcpp/data/commondata/31systematics/postprocess_jets.sh b/nnpdfcpp/data/commondata/31systematics/postprocess_jets.sh index 1aa9467841..4950ac76f7 100755 --- a/nnpdfcpp/data/commondata/31systematics/postprocess_jets.sh +++ b/nnpdfcpp/data/commondata/31systematics/postprocess_jets.sh @@ -1,6 +1,6 @@ #!/bin/bash # This script takes the results of process_jets and adds extra C-factor errors -SETS=(ATLAS1JET11 CMSJETS11) +SETS=(ATLAS1JET11 CMSJETS11 ATLAS1JET11_SF CMSJETS11_SF) DIRECTORY=. for s in "${SETS[@]}"; do diff --git a/nnpdfcpp/data/commondata/31systematics/process_jets.sh b/nnpdfcpp/data/commondata/31systematics/process_jets.sh index 1cf4634eb8..4869414f42 100755 --- a/nnpdfcpp/data/commondata/31systematics/process_jets.sh +++ b/nnpdfcpp/data/commondata/31systematics/process_jets.sh @@ -1,7 +1,7 @@ #!/bin/bash # This script takes scale variation errors for jet data and appends them to datafiles as an additional systematic -SETS=(ATLAS1JET11 ATLASR04JETS2P76TEV ATLASR04JETS36PB CMS1JET276TEV CMSJETS11 CDFR2KT) +SETS=(ATLAS1JET11 ATLASR04JETS2P76TEV ATLASR04JETS36PB CMS1JET276TEV CMSJETS11 CDFR2KT ATLAS1JET11_SF) DIRECTORY=. for s in "${SETS[@]}"; do From bd51902cf631ca1d80b8aa45f526afef177020c5 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 18 Mar 2019 07:20:19 +0000 Subject: [PATCH 164/429] updating tests with script changes --- validphys2/src/validphys/theorycovariance/tests.py | 10 +--------- 1 file changed, 1 insertion(+), 9 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 9e298806dd..9885a01e09 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -221,14 +221,6 @@ def theory_corrmat_custom_dataspecs(theory_covmat_custom_dataspecs): mat = theory_corrmat(theory_covmat_custom_dataspecs) return mat -@figure -def plot_thcorrmat_heatmap_custom_dataspecs(theory_corrmat_custom_dataspecs, theoryids): - """Matrix plot of the theory correlation matrix, correlations by process type""" - l = len(theoryids) - fig = plot_corrmat_heatmap(theory_corrmat_custom_dataspecs, - f"Theory correlation matrix for {l} points") - return fig - @_check_correct_theory_combination_theoryconfig def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, collected_theoryids, @@ -265,7 +257,7 @@ def shuffle_list(l, shift): procdict[proc].append(name) # splitting up the scale-varied shift vectors into different spaces per process splitdiffs = [] - for process, dslist in procdict.items(): + for process in procdict.keys(): alldatasets = [y for x in list(procdict.values()) for y in x] otherdatasets = [x for x in alldatasets if x not in procdict[process]] for diff in diffs: From 90ee9924932f67d7b25601a819da396ca3b3a46c Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 18 Mar 2019 13:47:52 +0000 Subject: [PATCH 165/429] Add docstrings to actions in tests.py and remove unnecessary line --- validphys2/src/validphys/theorycovariance/output.py | 1 - validphys2/src/validphys/theorycovariance/tests.py | 13 +++++++++++++ 2 files changed, 13 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index 4a3f3a683b..01950a0a71 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -52,7 +52,6 @@ def matrix_plot_labels(df): the outermost index of the multiindex.""" if len(df.index[0]) == 3: proclabels = [x[0] for x in df.index] - dslabels = [x[1] for x in df.index] points = [x[2] for x in df.index] labels = proclabels elif len(df.index[0]) == 2: diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 9885a01e09..a40b5199f9 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -55,6 +55,7 @@ def dataspecs_dataset_prediction_shift(matched_dataspecs_results, experiment_nam def shift_vector(matched_dataspecs_dataset_prediction_shift, matched_dataspecs_dataset_theory): + """Returns a DataFrame of normalised shift vectors for matched dataspecs.""" all_shifts = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_prediction_shift]) all_theory = np.concatenate( @@ -74,6 +75,8 @@ def shift_vector(matched_dataspecs_dataset_prediction_shift, return pd.DataFrame(norm_shifts, index=index) def dataspecs_dataset_theory(matched_dataspecs_results, experiment_name, dataset_name): + """Returns a tuple of shifts grouped by data set and experiment + for matched dataspecs.""" central = matched_dataspecs_results[0] res = central[1].central_value return LabeledShifts(dataset_name=dataset_name, @@ -129,16 +132,19 @@ def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_data ['dataspecs']) def combine_by_type_dataspecs(all_matched_results, matched_dataspecs_dataset_name): + """Like combine_by_type but for matched dataspecs""" return combine_by_type(all_matched_results, matched_dataspecs_dataset_name) dataspecs_theoryids = collect('theoryid', ['theoryconfig', 'original', 'dataspecs']) def process_starting_points_dataspecs(combine_by_type_dataspecs): + """Like process_starting_points but for matched dataspecs.""" return process_starting_points(combine_by_type_dataspecs) @make_argcheck def _check_correct_theory_combination_dataspecs(dataspecs_theoryids, fivetheories:(str, type(None)) = None): + """Like _check_correct_theory_combination but for matched dataspecs.""" return _check_correct_theory_combination.__wrapped__( dataspecs_theoryids, fivetheories) @@ -147,10 +153,12 @@ def covs_pt_prescrip_dataspecs(combine_by_type_dataspecs, process_starting_points_dataspecs, dataspecs_theoryids, fivetheories: (str, type(None)) = None): + """Like covs_pt_prescrip but for matched dataspecs.""" return covs_pt_prescrip(combine_by_type_dataspecs, process_starting_points_dataspecs, dataspecs_theoryids, fivetheories) def covmap_dataspecs(combine_by_type_dataspecs, matched_dataspecs_dataset_name): + """Like covmap but for matched dataspecs.""" return covmap(combine_by_type_dataspecs, matched_dataspecs_dataset_name) matched_dataspecs_experiment_name = collect( @@ -163,6 +171,7 @@ def covmap_dataspecs(combine_by_type_dataspecs, matched_dataspecs_dataset_name): def all_matched_data_lengths(all_matched_datasets): + """Returns a list of the data sets lengths.""" lens = [] for rlist in all_matched_datasets: lens.append(rlist[0].load().GetNData()) @@ -170,6 +179,8 @@ def all_matched_data_lengths(all_matched_datasets): def matched_experiments_index(matched_dataspecs_dataset_name, all_matched_data_lengths): + """Returns MultiIndex composed of data set name and + starting point of data set.""" dsnames = matched_dataspecs_dataset_name lens = all_matched_data_lengths dsnames = np.concatenate([ @@ -188,6 +199,7 @@ def matched_experiments_index(matched_dataspecs_dataset_name, @table def theory_covmat_custom_dataspecs(covs_pt_prescrip_dataspecs, covmap_dataspecs, matched_experiments_index): + """Like theory_covmat_custom but for matched dataspecs.""" return theory_covmat_custom(covs_pt_prescrip_dataspecs, covmap_dataspecs, matched_experiments_index) @@ -231,6 +243,7 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, Then returns the eigenvalues (w) and eigenvectors (v) in the data space.""" + # Function that moves list elements left by 'shift' entries def shuffle_list(l, shift): i=0 newlist = l.copy() From 48303d0f7fac04d482cd526ce684022317d48e5a Mon Sep 17 00:00:00 2001 From: Zahari Date: Mon, 18 Mar 2019 11:16:02 +0000 Subject: [PATCH 166/429] Remove LHAPDF warnings from output These are repetitive, annoying and prevent us from focusing on the warnings specific to our code. Also, make sure that we are including development headers before the system ones. --- CMakeLists.txt | 7 +++++++ libnnpdf/CMakeLists.txt | 5 ++++- 2 files changed, 11 insertions(+), 1 deletion(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index 7f43ec7d84..686bc87128 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -75,6 +75,13 @@ if (LHAPDF_CONFIG) OUTPUT_VARIABLE LHAPDF_LIBRARIES ) set(LHAPDF_LIBRARIES ${LHAPDF_LIBRARIES} CACHE STRING INTERNAL) + #This is to stop the LHAPDF specific warnings from spamming the output + exec_program(${LHAPDF_CONFIG} + ARGS --incdir + OUTPUT_VARIABLE LHAPDF_INCLUDES + ) + set(LHAPDF_INCLUDES ${LHAPDF_INCLUDES} CACHE STRING INTERNAL) + include_directories(SYSTEM ${LHAPDF_INCLUDES}) endif(LHAPDF_CONFIG) # APFEL diff --git a/libnnpdf/CMakeLists.txt b/libnnpdf/CMakeLists.txt index 04e4610be7..ac5c38c4de 100644 --- a/libnnpdf/CMakeLists.txt +++ b/libnnpdf/CMakeLists.txt @@ -26,7 +26,10 @@ configure_file( # add preprocessor flag add_definitions(-DDEFAULT_NNPDF_PROFILE_PATH="${prefix}/share/NNPDF/nnprofile.yaml") -include_directories(src/NNPDF src ${GSL_INCLUDE_DIRS} ${YAML_INCLUDE_DIRS}) +# Note that BEFORE is important here: Otherwise we might be reading +# the headers from a previous installation. +include_directories(BEFORE src/NNPDF src) +include_directories(${GSL_INCLUDE_DIRS} ${YAML_INCLUDE_DIRS}) FILE(GLOB_RECURSE Headers "src/NNPDF/*.h") add_library(nnpdf SHARED src/common.cc src/commondata.cc From d1c1950d2785fec49d7726b8d68c707d2124a561 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 18 Mar 2019 14:13:13 +0000 Subject: [PATCH 167/429] In tests.py add seventheories as an argument to covs_pt_prescrip_dataspecs and remove unnecessary import from file --- validphys2/src/validphys/theorycovariance/tests.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index a40b5199f9..76e0319fc5 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -28,7 +28,6 @@ from validphys.theorycovariance.construction import _check_correct_theory_combination_theoryconfig from validphys.theorycovariance.output import matrix_plot_labels, _get_key -from validphys.theorycovariance.output import plot_corrmat_heatmap log = logging.getLogger(__name__) @@ -152,10 +151,11 @@ def _check_correct_theory_combination_dataspecs(dataspecs_theoryids, def covs_pt_prescrip_dataspecs(combine_by_type_dataspecs, process_starting_points_dataspecs, dataspecs_theoryids, - fivetheories: (str, type(None)) = None): + fivetheories: (str, type(None)) = None, + seventheories: (str, type(None)) = None): """Like covs_pt_prescrip but for matched dataspecs.""" return covs_pt_prescrip(combine_by_type_dataspecs, process_starting_points_dataspecs, - dataspecs_theoryids, fivetheories) + dataspecs_theoryids, fivetheories, seventheories) def covmap_dataspecs(combine_by_type_dataspecs, matched_dataspecs_dataset_name): """Like covmap but for matched dataspecs.""" From 49010abd3957071ec3be67f25feeb69e1604b647 Mon Sep 17 00:00:00 2001 From: tgiani Date: Mon, 18 Mar 2019 17:20:30 +0000 Subject: [PATCH 168/429] adding comments and small changes --- libnnpdf/src/NNPDF/chisquared.h | 6 +++--- libnnpdf/src/chisquared.cc | 22 +++++++++------------- libnnpdf/src/experiments.cc | 1 - nnpdfcpp/src/nnfit/src/nnfit.cc | 4 ++-- 4 files changed, 14 insertions(+), 19 deletions(-) diff --git a/libnnpdf/src/NNPDF/chisquared.h b/libnnpdf/src/NNPDF/chisquared.h index 295501b4be..2e23a7acc6 100644 --- a/libnnpdf/src/NNPDF/chisquared.h +++ b/libnnpdf/src/NNPDF/chisquared.h @@ -18,9 +18,9 @@ namespace NNPDF{ std::vector const& central_values, std::vector const& stat_error, sysError** const systematic_errors, - bool const mult_errors, - bool const use_theory_errors, - bool const th_cov_matrix, + bool const mult_errors, // account for multiplicative uncertainties in building the CovMat + bool const use_theory_errors, // account for MC uncertainties in building the CovMat + bool const th_cov_matrix, // account for theoretical uncertainties in building the CovMat std::string filename, std::vector bmask); diff --git a/libnnpdf/src/chisquared.cc b/libnnpdf/src/chisquared.cc index 5698a8e9c7..c3af017cde 100644 --- a/libnnpdf/src/chisquared.cc +++ b/libnnpdf/src/chisquared.cc @@ -6,21 +6,15 @@ // Stefano Carrazza, stefano.carrazza@mi.infn.it #include -#include -#include -#include #include #include #include #include #include -#include #include -#include "NNPDF/experiments.h" #include "NNPDF/chisquared.h" #include "NNPDF/pdfset.h" -#include "NNPDF/dataset.h" #include "NNPDF/thpredictions.h" #include "NNPDF/utils.h" #include "NNPDF/randomgenerator.h" @@ -53,11 +47,6 @@ namespace NNPDF throw LengthError("ComputeCovMat_basic","mismatch in points between central_values and stat_error!"); auto CovMat = NNPDF::matrix(ndat, ndat); - auto ThCovMat = NNPDF::matrix(ndat, ndat); - - if(th_cov_matrix) - ThCovMat = read_theory_covmat(ndat, filename, bmask); - for (int i = 0; i < ndat; i++) { @@ -93,7 +82,12 @@ namespace NNPDF // Covariance matrix entry CovMat(i, j) = (sig + signor*central_values[i]*central_values[j]*1e-4); - if(th_cov_matrix) CovMat(i, j) += ThCovMat(i, j); + if(th_cov_matrix) + { + auto ThCovMat = NNPDF::matrix(ndat, ndat); + ThCovMat = read_theory_covmat(ndat, filename, bmask); + CovMat(i, j) += ThCovMat(i, j); + } // Covariance matrix weight CovMat(i, j) /= sqrt_weights[i]*sqrt_weights[j]; @@ -107,9 +101,11 @@ namespace NNPDF * Generate covariance matrix from CommonData and a t0 vector * This should be deprecated in favour of a version of `Experiment` that does not contain an FK table. * CommonData should be considered only as an I/O class with all logic belonging to `Experiment`. + * + * The covariance matris is created accounting for multiplicative and MC uncertainty by default. */ matrix ComputeCovMat(CommonData const& cd, std::vector const& t0, - const bool th_cov_matrix, + const bool th_cov_matrix, // Specify whether or not the theory error should be used std::string filename, std::vector bmask, double weight) diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index 4a8aa6e197..0cde7c1005 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -15,7 +15,6 @@ #include #include #include -#include #include "NNPDF/experiments.h" #include "NNPDF/chisquared.h" diff --git a/nnpdfcpp/src/nnfit/src/nnfit.cc b/nnpdfcpp/src/nnfit/src/nnfit.cc index 1ffeacc08c..b69583c0a7 100644 --- a/nnpdfcpp/src/nnfit/src/nnfit.cc +++ b/nnpdfcpp/src/nnfit/src/nnfit.cc @@ -549,9 +549,9 @@ void TrainValidSplit(NNPDFSettings const& settings, } //Creating the boolean mask - for (int i = 0; i < trMaskset.size(); i++) + for (size_t i = 0; i < trMaskset.size(); i++) trCovMatMask.at(AccumulatedData + trMaskset.at(i)) = 1; - for (int i = 0; i < valMaskset.size(); i++) + for (size_t i = 0; i < valMaskset.size(); i++) valCovMatMask.at(AccumulatedData + valMaskset.at(i)) = 1; //Accumulating Sets NData From 0dea659d95612c112e16d27f1dfd6d9d782404a4 Mon Sep 17 00:00:00 2001 From: tgiani Date: Mon, 18 Mar 2019 17:47:11 +0000 Subject: [PATCH 169/429] fixing previous stupid commit --- libnnpdf/src/chisquared.cc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libnnpdf/src/chisquared.cc b/libnnpdf/src/chisquared.cc index c3af017cde..a70e936509 100644 --- a/libnnpdf/src/chisquared.cc +++ b/libnnpdf/src/chisquared.cc @@ -47,6 +47,7 @@ namespace NNPDF throw LengthError("ComputeCovMat_basic","mismatch in points between central_values and stat_error!"); auto CovMat = NNPDF::matrix(ndat, ndat); + if(th_cov_matrix) auto ThCovMat = NNPDF::matrix(ndat, ndat); for (int i = 0; i < ndat; i++) { @@ -84,7 +85,6 @@ namespace NNPDF CovMat(i, j) = (sig + signor*central_values[i]*central_values[j]*1e-4); if(th_cov_matrix) { - auto ThCovMat = NNPDF::matrix(ndat, ndat); ThCovMat = read_theory_covmat(ndat, filename, bmask); CovMat(i, j) += ThCovMat(i, j); } From bed294accc34ef9201308a37aca8051c36e87b62 Mon Sep 17 00:00:00 2001 From: tgiani Date: Tue, 19 Mar 2019 11:18:16 +0000 Subject: [PATCH 170/429] fixing loop in ComputeCovMat_basic --- libnnpdf/src/chisquared.cc | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/libnnpdf/src/chisquared.cc b/libnnpdf/src/chisquared.cc index a70e936509..51d9eda524 100644 --- a/libnnpdf/src/chisquared.cc +++ b/libnnpdf/src/chisquared.cc @@ -47,7 +47,6 @@ namespace NNPDF throw LengthError("ComputeCovMat_basic","mismatch in points between central_values and stat_error!"); auto CovMat = NNPDF::matrix(ndat, ndat); - if(th_cov_matrix) auto ThCovMat = NNPDF::matrix(ndat, ndat); for (int i = 0; i < ndat; i++) { @@ -83,17 +82,26 @@ namespace NNPDF // Covariance matrix entry CovMat(i, j) = (sig + signor*central_values[i]*central_values[j]*1e-4); - if(th_cov_matrix) - { - ThCovMat = read_theory_covmat(ndat, filename, bmask); - CovMat(i, j) += ThCovMat(i, j); - } - // Covariance matrix weight CovMat(i, j) /= sqrt_weights[i]*sqrt_weights[j]; } } + // Add theory uncertainty + if(th_cov_matrix) + { + auto ThCovMat = NNPDF::matrix(ndat, ndat); + ThCovMat = read_theory_covmat(ndat, filename, bmask); + + for (int i = 0; i < ndat; i++) + { + for (int j = 0; j < ndat; j++) + { + CovMat(i, j) += ThCovMat(i, j); + } + } + } + return CovMat; } From 66872a0f57c697411f09bd9bde8aaddb10c33305 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 19 Mar 2019 11:24:06 +0000 Subject: [PATCH 171/429] defining separate functions for each prescription for covs_pt_prescription --- .../theorycovariance/construction.py | 183 +++++++++++------- 1 file changed, 115 insertions(+), 68 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 23b2b3236c..4e793b8b74 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -312,6 +312,103 @@ def covmap(combine_by_type, dataset_names): start += process_info.sizes[dataset] return mapping +def covmat_3pt(name1, name2, deltas1, deltas2): + """Returns theory covariance sub-matrix for 3pt prescription, + given two dataset names and collections of scale variation shifts""" + if name1 == name2: + s = 0.5*sum(np.outer(d, d) for d in deltas1) + else: + s = 0.25*(np.outer((deltas1[0]+deltas1[1]), + (deltas2[0]+deltas2[1]))) + return s + +def covmat_5pt_linear(name1, name2, deltas1, deltas2): + """Returns theory covariance sub-matrix for Zahari's 5pt + linear prescription, given two dataset names and collections + of scale variation shifts""" + if name1 == name2: + s = 0.25*(np.outer(deltas1[0], deltas2[0]) + - np.outer(deltas1[0], deltas2[1]) + - np.outer(deltas1[1], deltas2[0]) + + np.outer(deltas1[1], deltas2[1]) + + np.outer(deltas1[2], deltas2[2]) + - np.outer(deltas1[2], deltas2[3]) + - np.outer(deltas1[3], deltas2[2]) + + np.outer(deltas1[3], deltas2[3])) + else: + s = 0.25*(np.outer(deltas1[0], deltas2[0]) + - np.outer(deltas1[0], deltas2[1]) + - np.outer(deltas1[1], deltas2[0]) + + np.outer(deltas1[1], deltas2[1])) + return s + +def covmat_5pt(name1, name2, deltas1, deltas2): + """Returns theory covariance sub-matrix for 5pt prescription, + given two dataset names and collections of scale variation shifts""" + if name1 == name2: + s = 0.5*sum(np.outer(d, d) for d in deltas1) + else: + s = 0.5*(np.outer(deltas1[0], deltas2[0]) + + np.outer(deltas1[1], deltas2[1])) + 0.25*( + np.outer((deltas1[2] + deltas1[3]), + (deltas2[2] + deltas2[3]))) + return s + +def covmat_5barpt(name1, name2, deltas1, deltas2): + """Returns theory covariance sub-matrix for 5barpt prescription, + given two dataset names and collections of scale variation shifts""" + if name1 == name2: + s = 0.5*sum(np.outer(d, d) for d in deltas1) + else: + s = 0.25*(np.outer((deltas1[0]+deltas1[2]), + (deltas2[0]+deltas2[2])) + + np.outer((deltas1[1]+deltas1[3]), + (deltas2[1]+deltas2[3]))) + return s + +def covmat_7pt_orig(name1, name2, deltas1, deltas2): + """Returns theory covariance sub-matrix for original 7pt prescription, + now deprecated but kept for posterity, + given two dataset names and collections of scale variation shifts""" + if name1 == name2: + s = (1/3)*sum(np.outer(d, d) for d in deltas1) + else: + s = (1/6)*(np.outer((deltas1[0]+ deltas1[4]), + (deltas2[0] + deltas2[4])) + + np.outer((deltas1[1]+ deltas1[5]), + (deltas2[1] + deltas2[5])) + + np.outer((deltas1[2]+deltas1[3]), ( + deltas2[2]+ deltas2[3]))) + return s + +def covmat_7pt(name1, name2, deltas1, deltas2): + """Returns theory covariance sub-matrix for 7pt prescription (Gavin), + given two dataset names and collections of scale variation shifts""" + if name1 == name2: + s = (1/3)*sum(np.outer(d, d) for d in deltas1) + else: + s = (1/6)*(2*(np.outer(deltas1[0], deltas2[0]) + + np.outer(deltas1[1], deltas2[1])) + + (np.outer((deltas1[2] + deltas1[3]), + (deltas2[2] + deltas2[3])) + + np.outer((deltas1[4] + deltas1[5]), + (deltas2[4] + deltas2[5])))) + return s + +def covmat_9pt(name1, name2, deltas1, deltas2): + """Returns theory covariance sub-matrix for 9pt prescription, + given two dataset names and collections of scale variation shifts""" + if name1 == name2: + s = 0.25*sum(np.outer(d, d) for d in deltas1) + else: + s = (1/12)*(np.outer((deltas1[0]+deltas1[4]+deltas1[6]), + (deltas2[0]+deltas2[4]+deltas2[6])) + + np.outer((deltas1[1]+deltas1[5]+deltas1[7]), + (deltas2[1]+deltas2[5]+deltas2[7]))) + (1/8)*( + np.outer((deltas1[2]+deltas1[3]), + (deltas2[2]+deltas2[3]))) + return s + @_check_correct_theory_combination def covs_pt_prescrip(combine_by_type, process_starting_points, theoryids, fivetheories:(str, type(None)) = None, @@ -325,8 +422,8 @@ def covs_pt_prescrip(combine_by_type, process_starting_points, theoryids, processes are the same relative to when they are different.""" l = len(theoryids) start_proc = process_starting_points - covmats = defaultdict(list) process_info = combine_by_type + covmats = defaultdict(list) for name1 in process_info.theory: for name2 in process_info.theory: central1, *others1 = process_info.theory[name1] @@ -334,79 +431,29 @@ def covs_pt_prescrip(combine_by_type, process_starting_points, theoryids, central2, *others2 = process_info.theory[name2] deltas2 = list((other - central2 for other in others2)) if l==3: - if name1 == name2: - s = 0.5*sum(np.outer(d, d) for d in deltas1) - else: - s = 0.25*(np.outer((deltas1[0]+deltas1[1]), - (deltas2[0]+deltas2[1]))) - start_locs = (start_proc[name1], start_proc[name2]) - covmats[start_locs] = s + s = covmat_3pt(name1, name2, deltas1, deltas2) elif l==5: - # Zahari's proposal for the theoretical covariance matrix -------------------- + # Zahari's proposal for the theoretical covariance matrix -------------- if fivetheories=='linear': - if name1 == name2: - s = 0.25*(np.outer(deltas1[0], deltas2[0]) - - np.outer(deltas1[0], deltas2[1]) - - np.outer(deltas1[1], deltas2[0]) - + np.outer(deltas1[1], deltas2[1]) - + np.outer(deltas1[2], deltas2[2]) - - np.outer(deltas1[2], deltas2[3]) - - np.outer(deltas1[3], deltas2[2]) - + np.outer(deltas1[3], deltas2[3])) - else: - s = 0.25*(np.outer(deltas1[0], deltas2[0]) - - np.outer(deltas1[0], deltas2[1]) - - np.outer(deltas1[1], deltas2[0]) - + np.outer(deltas1[1], deltas2[1])) + s = covmat_5pt_linear(name1, name2, deltas1, deltas2) + # 5 point -------------------------------------------------------------- + elif fivetheories=='nobar': + s = covmat_5pt(name1, name2, deltas1, deltas2) + # 5bar-point ----------------------------------------------------------- else: - if name1 == name2: - s = 0.5*sum(np.outer(d, d) for d in deltas1) - # 5 point -------------------------------------------------------------------- - elif fivetheories=='nobar': - s = 0.5*(np.outer(deltas1[0], deltas2[0]) + np.outer( - deltas1[1], deltas2[1])) + 0.25*( - np.outer((deltas1[2] + deltas1[3]), - (deltas2[2] + deltas2[3]))) - # 5bar-point ----------------------------------------------------------------- - else: - s = 0.25*(np.outer((deltas1[0]+deltas1[2]), - (deltas2[0]+deltas2[2])) - + np.outer((deltas1[1]+deltas1[3]), - (deltas2[1]+deltas2[3]))) - # ----------------------------------------------------------------- - start_locs = (start_proc[name1], start_proc[name2]) - covmats[start_locs] = s + s = covmat_5barpt(name1, name2, deltas1, deltas2) + # --------------------------------------------------------------------- elif l==7: - if name1 == name2: - s = (1/3)*sum(np.outer(d, d) for d in deltas1) - elif seventheories=='original': - s = (1/6)*(np.outer((deltas1[0]+ deltas1[4]), - (deltas2[0] + deltas2[4])) - + np.outer((deltas1[1]+ deltas1[5]), - (deltas2[1] + deltas2[5])) - + np.outer((deltas1[2]+deltas1[3]), ( - deltas2[2]+ deltas2[3]))) + # Outdated 7pts implementation: left for posterity --------------------- + if seventheories=='original': + s = covmat_7pt_orig(name1, name2, deltas1, deltas2) + # 7pt (Gavin) ---------------------------------------------------------- else: - s = (1/6)*(2*(np.outer(deltas1[0], deltas2[0]) - + np.outer(deltas1[1], deltas2[1])) - + (np.outer((deltas1[2] + deltas1[3]), - (deltas2[2] + deltas2[3])) - + np.outer((deltas1[4] + deltas1[5]), - (deltas2[4] + deltas2[5])))) - start_locs = (start_proc[name1], start_proc[name2]) - covmats[start_locs] = s + s = covmat_7pt(name1, name2, deltas1, deltas2) elif l==9: - if name1 == name2: - s = 0.25*sum(np.outer(d, d) for d in deltas1) - else: - s = (1/12)*(np.outer((deltas1[0]+deltas1[4]+deltas1[6]), - (deltas2[0]+deltas2[4]+deltas2[6])) - + np.outer((deltas1[1]+deltas1[5]+deltas1[7]), - (deltas2[1]+deltas2[5]+deltas2[7]))) + (1/8)*( - np.outer((deltas1[2]+deltas1[3]), - (deltas2[2]+deltas2[3]))) - start_locs = (start_proc[name1], start_proc[name2]) - covmats[start_locs] = s + s = covmat_9pt(name1, name2, deltas1, deltas2) + start_locs = (start_proc[name1], start_proc[name2]) + covmats[start_locs] = s return covmats def theory_covmat_custom(covs_pt_prescrip, covmap, experiments_index): From 57229985e1c51fd4e0b4f7bdb0ef401a189a077d Mon Sep 17 00:00:00 2001 From: tgiani Date: Tue, 19 Mar 2019 11:29:12 +0000 Subject: [PATCH 172/429] fixing path in chi2check --- nnpdfcpp/src/chi2check/src/chi2check.cc | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/nnpdfcpp/src/chi2check/src/chi2check.cc b/nnpdfcpp/src/chi2check/src/chi2check.cc index 30d715dde3..1384fe82a1 100644 --- a/nnpdfcpp/src/chi2check/src/chi2check.cc +++ b/nnpdfcpp/src/chi2check/src/chi2check.cc @@ -93,11 +93,10 @@ int main(int argc, char **argv) auto exp = new Experiment(datasets, settings.GetExpName(i)); if (settings.IsThUncertainties()) { - string RepCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_sampling_t0_theory_covmat_custom.csv"; - string FitCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv"; + string ThCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_theory_covmat.csv"; - exp->LoadRepCovMat(RepCovMatPath); - exp->LoadFitCovMat(FitCovMatPath); + exp->LoadRepCovMat(ThCovMatPath); + exp->LoadFitCovMat(ThCovMatPath); } exps.push_back(exp); From b3d9cc68893c99e32cf47709a3445b4409025b80 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 19 Mar 2019 11:42:41 +0000 Subject: [PATCH 173/429] separating out construction of vectors from evals_nonzero_basis --- .../src/validphys/theorycovariance/tests.py | 325 ++++++++++-------- 1 file changed, 178 insertions(+), 147 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 76e0319fc5..5be7f227d6 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -233,6 +233,179 @@ def theory_corrmat_custom_dataspecs(theory_covmat_custom_dataspecs): mat = theory_corrmat(theory_covmat_custom_dataspecs) return mat + +def _shuffle_list(l, shift): + """Function that moves list elements left by 'shift' entries""" + i=0 + newlist = l.copy() + while i <= (shift-1): + newlist.append(newlist.pop(0)) + i = i + 1 + return newlist + +def vectors_3pt(splitdiffs): + """Returns the linearly independent vectors for 3pt prescription""" + # N.B. mu_0 correlated with mu_i + xs = [] + num_pts = 3 + pps = splitdiffs[::(num_pts-1)] + mms = _shuffle_list(splitdiffs,1)[::(num_pts-1)] + # Constructing (+, +, +, ...) + xs.append(sum(pps)) + # Constructing the p vectors with one minus + # (-, +, + ...) + cyclic + for procloc, mm in enumerate(mms): + newvec = pps[0].copy() + newvec.loc[:]=0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + mm + xs.append(newvec) + return xs + +def vectors_5pt(splitdiffs): + """Returns the linearly independent vectors for 5pt prescription""" + num_pts = 5 + pzs = splitdiffs[::(num_pts-1)] + mzs = _shuffle_list(splitdiffs,1)[::(num_pts-1)] + zps = _shuffle_list(splitdiffs,2)[::(num_pts-1)] + zms = _shuffle_list(splitdiffs,3)[::(num_pts-1)] + xs = [] + # Constructing (+; 0, 0, 0 ...) + # (-; 0, 0, 0 ...) + # (0; +, +, + ...) + xs.append(sum(pzs)) + xs.append(sum(mzs)) + xs.append(sum(zps)) + # Constructing the p vectors with one minus + # (0; -, +, + ...) + cyclic + for procloc, zm in enumerate(zms): + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) + return xs + +def vectors_5barpt(splitdiffs): + """Returns the linearly independent vectors for 5barpt prescription""" + num_pts = 5 + pps = splitdiffs[::(num_pts-1)] + mms = _shuffle_list(splitdiffs,1)[::(num_pts-1)] + pms = _shuffle_list(splitdiffs,2)[::(num_pts-1)] + mps = _shuffle_list(splitdiffs,3)[::(num_pts-1)] + xs = [] + # Constructing (+/-; +, + ...) + xs.append(sum(pps)) + xs.append(sum(mps)) + # Constructing the 2p vectors with one minus + # (+; -, +, + ...) + cyclic + for procloc, pm in enumerate(pms): + newvec = pms[0].copy() + newvec.loc[:] = 0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + pm + xs.append(newvec) + # (-; -, +, + ...) + cyclic + for procloc, mm in enumerate(mms): + newvec = mms[0].copy() + newvec.loc[:] = 0 + submps = mps.copy() + del submps[procloc] + newvec = newvec + sum(submps) + mm + xs.append(newvec) + return xs + +def vectors_7pt(splitdiffs): + """Returns the linearly independent vectors for 7pt prescription""" + num_pts = 7 + pzs = splitdiffs[::(num_pts-1)] + mzs = _shuffle_list(splitdiffs,1)[::(num_pts-1)] + zps = _shuffle_list(splitdiffs,2)[::(num_pts-1)] + zms = _shuffle_list(splitdiffs,3)[::(num_pts-1)] + pps = _shuffle_list(splitdiffs,4)[::(num_pts-1)] + mms = _shuffle_list(splitdiffs,5)[::(num_pts-1)] + xs = [] + # 7pt is the sum of 3pts and 5pts + # 3pt-like part: + xs.append(sum(pps)) + for procloc, mm in enumerate(mms): + newvec = pps[0].copy() + newvec.loc[:]=0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + mm + xs.append(newvec) + # 5pt-like part: + xs.append(sum(pzs)) + xs.append(sum(mzs)) + xs.append(sum(zps)) + for procloc, zm in enumerate(zms): + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) + return xs + +def vectors_9pt(splitdiffs): + """Returns the linearly independent vectors for 9pt prescription""" + num_pts = 9 + pzs = splitdiffs[::(num_pts-1)] + mzs = _shuffle_list(splitdiffs,1)[::(num_pts-1)] + zps = _shuffle_list(splitdiffs,2)[::(num_pts-1)] + zms = _shuffle_list(splitdiffs,3)[::(num_pts-1)] + pps = _shuffle_list(splitdiffs,4)[::(num_pts-1)] + mms = _shuffle_list(splitdiffs,5)[::(num_pts-1)] + pms = _shuffle_list(splitdiffs,6)[::(num_pts-1)] + mps = _shuffle_list(splitdiffs,7)[::(num_pts-1)] + xs = [] + # Constructing (+/-/0; +, +, ...) + xs.append(sum(pps)) + xs.append(sum(mps)) + xs.append(sum(zps)) + # Constructing (+/-/0; -, +, + ...) + cyclic + for procloc, zm in enumerate(zms): + newvec = zps[0].copy() + newvec.loc[:] = 0 + subzps = zps.copy() + del subzps[procloc] + newvec = newvec + sum(subzps) + zm + xs.append(newvec) + for procloc, pm in enumerate(pms): + newvec = pps[0].copy() + newvec.loc[:] = 0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + pm + xs.append(newvec) + for procloc, mm in enumerate(mms): + newvec = mps[0].copy() + newvec.loc[:] = 0 + submps = mps.copy() + del submps[procloc] + newvec = newvec + sum(submps) + mm + xs.append(newvec) + # Constructing (+/-; 0, +, +, ...) + cyclic + for procloc, pz in enumerate(pzs): + newvec = pps[0].copy() + newvec.loc[:] = 0 + subpps = pps.copy() + del subpps[procloc] + newvec = newvec + sum(subpps) + pz + xs.append(newvec) + for procloc, mz in enumerate(mzs): + newvec = mps[0].copy() + newvec.loc[:] = 0 + submps = mps.copy() + del submps[procloc] + newvec = newvec + sum(submps) + mz + xs.append(newvec) + return xs + @_check_correct_theory_combination_theoryconfig def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, collected_theoryids, @@ -243,15 +416,6 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, Then returns the eigenvalues (w) and eigenvectors (v) in the data space.""" - # Function that moves list elements left by 'shift' entries - def shuffle_list(l, shift): - i=0 - newlist = l.copy() - while i <= (shift-1): - newlist.append(newlist.pop(0)) - i = i + 1 - return newlist - covmat = (thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0]))) # constructing vectors of shifts due to scale variation diffs = [((thx_vector[0] - scalevarvector)/thx_vector[0]) @@ -289,148 +453,15 @@ def shuffle_list(l, shift): # and total vectors are notated like # (mu_0; mu_1, mu_2, ..., mu_p) if num_pts == 3: - # N.B. mu_0 correlated with mu_i - xs = [] - pps = splitdiffs[::(num_pts-1)] - mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] - # Constructing (+, +, +, ...) - xs.append(sum(pps)) - # Constructing the p vectors with one minus - # (-, +, + ...) + cyclic - for procloc, mm in enumerate(mms): - newvec = pps[0].copy() - newvec.loc[:]=0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + mm - xs.append(newvec) + xs = vectors_3pt(splitdiffs) elif (num_pts == 5) and (fivetheories == "nobar"): - pzs = splitdiffs[::(num_pts-1)] - mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] - zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] - zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] - xs = [] - # Constructing (+; 0, 0, 0 ...) - # (-; 0, 0, 0 ...) - # (0; +, +, + ...) - xs.append(sum(pzs)) - xs.append(sum(mzs)) - xs.append(sum(zps)) - # Constructing the p vectors with one minus - # (0; -, +, + ...) + cyclic - for procloc, zm in enumerate(zms): - newvec = zps[0].copy() - newvec.loc[:] = 0 - subzps = zps.copy() - del subzps[procloc] - newvec = newvec + sum(subzps) + zm - xs.append(newvec) + xs = vectors_5pt(splitdiffs) elif (num_pts == 5) and (fivetheories == "bar"): - pps = splitdiffs[::(num_pts-1)] - mms = shuffle_list(splitdiffs,1)[::(num_pts-1)] - pms = shuffle_list(splitdiffs,2)[::(num_pts-1)] - mps = shuffle_list(splitdiffs,3)[::(num_pts-1)] - xs = [] - # Constructing (+/-; +, + ...) - xs.append(sum(pps)) - xs.append(sum(mps)) - # Constructing the 2p vectors with one minus - # (+; -, +, + ...) + cyclic - for procloc, pm in enumerate(pms): - newvec = pms[0].copy() - newvec.loc[:] = 0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + pm - xs.append(newvec) - # (-; -, +, + ...) + cyclic - for procloc, mm in enumerate(mms): - newvec = mms[0].copy() - newvec.loc[:] = 0 - submps = mps.copy() - del submps[procloc] - newvec = newvec + sum(submps) + mm - xs.append(newvec) + xs = vectors_5barpt(splitdiffs) elif (num_pts == 7) and (seventheories != "original"): - pzs = splitdiffs[::(num_pts-1)] - mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] - zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] - zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] - pps = shuffle_list(splitdiffs,4)[::(num_pts-1)] - mms = shuffle_list(splitdiffs,5)[::(num_pts-1)] - xs = [] - # 7pt is the sum of 3pts and 5pts - # 3pt-like part: - xs.append(sum(pps)) - for procloc, mm in enumerate(mms): - newvec = pps[0].copy() - newvec.loc[:]=0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + mm - xs.append(newvec) - # 5pt-like part: - xs.append(sum(pzs)) - xs.append(sum(mzs)) - xs.append(sum(zps)) - for procloc, zm in enumerate(zms): - newvec = zps[0].copy() - newvec.loc[:] = 0 - subzps = zps.copy() - del subzps[procloc] - newvec = newvec + sum(subzps) + zm - xs.append(newvec) + xs = vectors_7pt(splitdiffs) elif num_pts == 9: - pzs = splitdiffs[::(num_pts-1)] - mzs = shuffle_list(splitdiffs,1)[::(num_pts-1)] - zps = shuffle_list(splitdiffs,2)[::(num_pts-1)] - zms = shuffle_list(splitdiffs,3)[::(num_pts-1)] - pps = shuffle_list(splitdiffs,4)[::(num_pts-1)] - mms = shuffle_list(splitdiffs,5)[::(num_pts-1)] - pms = shuffle_list(splitdiffs,6)[::(num_pts-1)] - mps = shuffle_list(splitdiffs,7)[::(num_pts-1)] - xs = [] - # Constructing (+/-/0; +, +, ...) - xs.append(sum(pps)) - xs.append(sum(mps)) - xs.append(sum(zps)) - # Constructing (+/-/0; -, +, + ...) + cyclic - for procloc, zm in enumerate(zms): - newvec = zps[0].copy() - newvec.loc[:] = 0 - subzps = zps.copy() - del subzps[procloc] - newvec = newvec + sum(subzps) + zm - xs.append(newvec) - for procloc, pm in enumerate(pms): - newvec = pps[0].copy() - newvec.loc[:] = 0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + pm - xs.append(newvec) - for procloc, mm in enumerate(mms): - newvec = mps[0].copy() - newvec.loc[:] = 0 - submps = mps.copy() - del submps[procloc] - newvec = newvec + sum(submps) + mm - xs.append(newvec) - # Constructing (+/-; 0, +, +, ...) + cyclic - for procloc, pz in enumerate(pzs): - newvec = pps[0].copy() - newvec.loc[:] = 0 - subpps = pps.copy() - del subpps[procloc] - newvec = newvec + sum(subpps) + pz - xs.append(newvec) - for procloc, mz in enumerate(mzs): - newvec = mps[0].copy() - newvec.loc[:] = 0 - submps = mps.copy() - del submps[procloc] - newvec = newvec + sum(submps) + mz - xs.append(newvec) + xs = vectors_9pt(splitdiffs) # ------------------------------------------------ # Orthonormalising vectors according to Gram-Schmidt ys = [x/np.linalg.norm(x) for x in xs] From 00f72541382cec96a9c79b98c2b452cd5a7d062c Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 19 Mar 2019 14:40:42 +0000 Subject: [PATCH 174/429] indenting function correctly --- .../src/validphys/theorycovariance/tests.py | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 5be7f227d6..3842216c98 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -235,13 +235,13 @@ def theory_corrmat_custom_dataspecs(theory_covmat_custom_dataspecs): def _shuffle_list(l, shift): - """Function that moves list elements left by 'shift' entries""" - i=0 - newlist = l.copy() - while i <= (shift-1): - newlist.append(newlist.pop(0)) - i = i + 1 - return newlist + """Function that moves list elements left by 'shift' entries""" + i=0 + newlist = l.copy() + while i <= (shift-1): + newlist.append(newlist.pop(0)) + i = i + 1 + return newlist def vectors_3pt(splitdiffs): """Returns the linearly independent vectors for 3pt prescription""" @@ -610,4 +610,3 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): ax.legend(fontsize=20) ax.yaxis.set_tick_params(labelsize=20) return fig - From 531288d7bb181d4786e6b3eae4647a226a60aa22 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 19 Mar 2019 14:45:48 +0000 Subject: [PATCH 175/429] indent construction.py --- validphys2/src/validphys/theorycovariance/construction.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 4e793b8b74..de51b36699 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -451,7 +451,7 @@ def covs_pt_prescrip(combine_by_type, process_starting_points, theoryids, else: s = covmat_7pt(name1, name2, deltas1, deltas2) elif l==9: - s = covmat_9pt(name1, name2, deltas1, deltas2) + s = covmat_9pt(name1, name2, deltas1, deltas2) start_locs = (start_proc[name1], start_proc[name2]) covmats[start_locs] = s return covmats From d73a04a2ca8ba5f162a114354307e3c3e3dc0df9 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Tue, 19 Mar 2019 15:01:59 +0000 Subject: [PATCH 176/429] Fix fixture-called-directly error and update pytest dependency in conda-recipe --- conda-recipe/meta.yaml | 2 +- validphys2/src/validphys/tests/conftest.py | 16 +++++++++++----- 2 files changed, 12 insertions(+), 6 deletions(-) diff --git a/conda-recipe/meta.yaml b/conda-recipe/meta.yaml index 80b9ed19bd..8c8d6f257c 100644 --- a/conda-recipe/meta.yaml +++ b/conda-recipe/meta.yaml @@ -42,7 +42,7 @@ requirements: test: requires: - hypothesis - - pytest <4 # See https://github.com/NNPDF/nnpdf/issues/335 + - pytest - coverage #Build dependencies for catch tests - {{ compiler("cxx") }} diff --git a/validphys2/src/validphys/tests/conftest.py b/validphys2/src/validphys/tests/conftest.py index a04b0f5236..90d9720494 100644 --- a/validphys2/src/validphys/tests/conftest.py +++ b/validphys2/src/validphys/tests/conftest.py @@ -34,11 +34,14 @@ def data(): pdf = l.check_pdf("NNPDF31_nnlo_as_0118") return pdf, exps -@pytest.fixture(scope='module') -def convolution_results(data): +def convolution_results_implement(data): pdf, exps = data return [results.experiment_results(exp, pdf, pdf) for exp in exps] +@pytest.fixture(scope='module') +def convolution_results(data): + return convolution_results_implement(data) + @pytest.fixture def dataset_t0_convolution_results(data): pdf, exps = data @@ -65,9 +68,12 @@ def dataset_convolution_results(single_exp_data): def dataset_chi2data(dataset_convolution_results): return [results.abs_chi2_data(r) for r in dataset_convolution_results] +def chi2data_implement(convolution_results): + return [results.abs_chi2_data_experiment(r) for r in convolution_results] + @pytest.fixture(scope='module') def chi2data(convolution_results): - return [results.abs_chi2_data_experiment(r) for r in convolution_results] + return chi2data_implement(convolution_results) @pytest.fixture(scope='module') def weighted_data(): @@ -82,8 +88,8 @@ def weighted_data(): @pytest.fixture(scope='module') def convolution_results_with_weights(weighted_data): - return convolution_results(weighted_data) + return convolution_results_implement(weighted_data) @pytest.fixture(scope='module') def weighted_chi2data(convolution_results_with_weights): - return chi2data(convolution_results_with_weights) + return chi2data_implement(convolution_results_with_weights) From 88ab555b9223ffd7ea6c8c1313d2b5b7872a0d2f Mon Sep 17 00:00:00 2001 From: tgiani Date: Tue, 19 Mar 2019 16:45:13 +0000 Subject: [PATCH 177/429] minor changes --- libnnpdf/src/chisquared.cc | 4 +--- validphys2/src/validphys/config.py | 3 +-- 2 files changed, 2 insertions(+), 5 deletions(-) diff --git a/libnnpdf/src/chisquared.cc b/libnnpdf/src/chisquared.cc index 51d9eda524..d6ba2102dc 100644 --- a/libnnpdf/src/chisquared.cc +++ b/libnnpdf/src/chisquared.cc @@ -90,9 +90,7 @@ namespace NNPDF // Add theory uncertainty if(th_cov_matrix) { - auto ThCovMat = NNPDF::matrix(ndat, ndat); - ThCovMat = read_theory_covmat(ndat, filename, bmask); - + auto ThCovMat = read_theory_covmat(ndat, filename, bmask); for (int i = 0; i < ndat; i++) { for (int j = 0; j < ndat; j++) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index b43f57dbcd..743de85a31 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -28,8 +28,6 @@ from validphys.paramfits.config import ParamfitsConfig -from validphys.theorycovariance import theory_covmat_custom - log = logging.getLogger(__name__) @@ -680,6 +678,7 @@ def produce_all_lumi_channels(self): @configparser.explicit_node def produce_nnfit_theory_covmat(self): + from validphys.theorycovariance import theory_covmat_custom @functools.wraps(theory_covmat_custom) def res(*args, **kwargs): return theory_covmat_custom(*args, **kwargs) From c1de585ebeefb05f21053e4756bd7168fa39b01b Mon Sep 17 00:00:00 2001 From: tgiani Date: Wed, 20 Mar 2019 09:07:51 +0000 Subject: [PATCH 178/429] removing unused method in nnpdfsettings --- nnpdfcpp/src/common/inc/nnpdfsettings.h | 1 - 1 file changed, 1 deletion(-) diff --git a/nnpdfcpp/src/common/inc/nnpdfsettings.h b/nnpdfcpp/src/common/inc/nnpdfsettings.h index bc0a57e83b..423270e2aa 100644 --- a/nnpdfcpp/src/common/inc/nnpdfsettings.h +++ b/nnpdfcpp/src/common/inc/nnpdfsettings.h @@ -113,7 +113,6 @@ class NNPDFSettings void SetPlotFile(string const&); // Get methods - bool ThUncUsed() const; YAML::Node Get(const string& item) const; YAML::Node Get(const string& node, const string& item) const; YAML::Node GetPlotting(const string& item) const; From 26021e9e20a264954fecf767f3e4d0ecb901e1b9 Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Wed, 20 Mar 2019 14:14:18 +0100 Subject: [PATCH 179/429] fixing warning in copy-constructor --- libnnpdf/src/experiments.cc | 1 - 1 file changed, 1 deletion(-) diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index 0cde7c1005..c091cbd13d 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -70,7 +70,6 @@ fNSys(exp.fNSys), fCovMat(exp.fCovMat), fSqrtCov(exp.fSqrtCov), fSamplingMatrix(exp.fSamplingMatrix), -fStat(NULL), fSys(NULL), fSetSysMap(NULL), fIsArtificial(exp.fIsArtificial), From 88a5f2c839c87b2aaf0d1d600484b816b7cdad5c Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 20 Mar 2019 14:30:27 +0000 Subject: [PATCH 180/429] Fix line locations so they are between indexes --- .../src/validphys/theorycovariance/output.py | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index 01950a0a71..1d3813aebc 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -105,8 +105,10 @@ def plot_covmat_heatmap(covmat, title, dataset_index_byprocess): plt.xticks(ticklocs, ticklabels, rotation=30, ha="right", fontsize=20) plt.gca().xaxis.tick_bottom() plt.yticks(ticklocs, ticklabels, fontsize=20) - ax.vlines(startlocs, 0, len(matrix), linestyles='dashed') - ax.hlines(startlocs, 0, len(matrix), linestyles='dashed') + # Shift startlocs elements 0.5 to left so lines are between indexes + startlocs_lines = [x-0.5 for x in startlocs] + ax.vlines(startlocs_lines, -0.5, len(matrix)-0.5, linestyles='dashed') + ax.hlines(startlocs_lines, -0.5, len(matrix)-0.5, linestyles='dashed') ax.margins(x=0, y=0) return fig @@ -160,8 +162,10 @@ def plot_corrmat_heatmap(corrmat, title, dataset_index_byprocess): plt.xticks(ticklocs, ticklabels, rotation=30, ha="right", fontsize=20) plt.gca().xaxis.tick_bottom() plt.yticks(ticklocs, ticklabels, fontsize=20) - ax.vlines(startlocs, 0, len(matrix), linestyles='dashed') - ax.hlines(startlocs, 0, len(matrix), linestyles='dashed') + # Shift startlocs elements 0.5 to left so lines are between indexes + startlocs_lines = [x-0.5 for x in startlocs] + ax.vlines(startlocs_lines, -0.5, len(matrix)-0.5, linestyles='dashed') + ax.hlines(startlocs_lines, -0.5, len(matrix)-0.5, linestyles='dashed') ax.margins(x=0, y=0) return fig @@ -307,7 +311,9 @@ def plot_diag_cov_comparison(theory_covmat_custom, experiments_covmat, ax.plot(sqrtdiags_tot.values, '.', label="Total", color = "blue") ticklocs, ticklabels, startlocs = matrix_plot_labels(sqrtdiags_th) plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=20) - ax.vlines(startlocs, 0, len(data), linestyles='dashed') + # Shift startlocs elements 0.5 to left so lines are between indexes + startlocs_lines = [x-0.5 for x in startlocs] + ax.vlines(startlocs_lines, 0, len(data), linestyles='dashed') ax.set_ylabel(r"$\frac{\sqrt{cov_{ii}}}{|D_i|}$", fontsize=30) ax.yaxis.set_tick_params(labelsize=20) ax.set_ylim([0,0.5]) From 8a7b70b5b3365d4bb54b4d3473aeb26508996a05 Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Thu, 21 Mar 2019 17:21:07 +0100 Subject: [PATCH 181/429] testing conda_py --- .ciscripts/build-deploy-linux.sh | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.ciscripts/build-deploy-linux.sh b/.ciscripts/build-deploy-linux.sh index 7070f2cf4f..a8e15c5580 100755 --- a/.ciscripts/build-deploy-linux.sh +++ b/.ciscripts/build-deploy-linux.sh @@ -10,7 +10,8 @@ set -v echo "$NETRC_FILE" | base64 --decode > ~/.netrc #Build package -conda build -q conda-recipe +echo $CONDA_PY +CONDA_PY=$CONDA_PY conda build -q conda-recipe if [ $? != 0 ]; then echo failed to build exit 1 From ca56ff8e124b43bb9e91f603b6ada9c7ea28d6ea Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Thu, 21 Mar 2019 17:42:49 +0100 Subject: [PATCH 182/429] another try --- .ciscripts/build-deploy-linux.sh | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/.ciscripts/build-deploy-linux.sh b/.ciscripts/build-deploy-linux.sh index a8e15c5580..5f18aa56f6 100755 --- a/.ciscripts/build-deploy-linux.sh +++ b/.ciscripts/build-deploy-linux.sh @@ -1,17 +1,16 @@ #!/bin/bash #Find conda -source ~/.bashrc -set -e -set -o pipefail -set -u -set -v +#source ~/.bashrc +#set -e +#set -o pipefail +#set -u +#set -v #Set up netrc file for uploading/downloading echo "$NETRC_FILE" | base64 --decode > ~/.netrc #Build package -echo $CONDA_PY -CONDA_PY=$CONDA_PY conda build -q conda-recipe +conda build -q conda-recipe if [ $? != 0 ]; then echo failed to build exit 1 From 9d4c84901569224dc9fca0c80361c63db3dca88d Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Thu, 21 Mar 2019 18:12:54 +0100 Subject: [PATCH 183/429] reverting to working setup --- .ciscripts/build-deploy-linux.sh | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/.ciscripts/build-deploy-linux.sh b/.ciscripts/build-deploy-linux.sh index 5f18aa56f6..1d84aea920 100755 --- a/.ciscripts/build-deploy-linux.sh +++ b/.ciscripts/build-deploy-linux.sh @@ -1,16 +1,16 @@ #!/bin/bash #Find conda -#source ~/.bashrc -#set -e -#set -o pipefail -#set -u -#set -v +source ~/.bashrc +set -e +set -o pipefail +set -u +set -v #Set up netrc file for uploading/downloading echo "$NETRC_FILE" | base64 --decode > ~/.netrc #Build package -conda build -q conda-recipe +CONDA_PY=$CONDA_PY conda build -q conda-recipe if [ $? != 0 ]; then echo failed to build exit 1 From 2465418449bc730bc125c2d0c71540b6beedf50f Mon Sep 17 00:00:00 2001 From: tgiani Date: Fri, 22 Mar 2019 09:22:31 +0000 Subject: [PATCH 184/429] adding option to switch on/off thcovmat in sampling/fitting --- libnnpdf/src/NNPDF/experiments.h | 4 ++-- libnnpdf/src/experiments.cc | 8 ++++---- nnpdfcpp/src/chi2check/src/chi2check.cc | 4 ++-- nnpdfcpp/src/common/inc/nnpdfsettings.h | 4 ++++ nnpdfcpp/src/common/src/nnpdfsettings.cc | 12 +++++++++++- nnpdfcpp/src/nnfit/src/nnfit.cc | 16 ++++++++-------- 6 files changed, 31 insertions(+), 17 deletions(-) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index 1fe5b1faf8..98ec918395 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -56,8 +56,8 @@ namespace NNPDF void SetT0(const PDFSet&); //! bmask = {}); //!< Read in covmat for rep gen, generate covmat and sqrt - void LoadFitCovMat(std::string filename, std::vector bmask = {}); //!< Read in covmat for fitting, generate covmat and sqrt + void LoadRepCovMat(std::string filename, bool ThUnc, std::vector bmask = {}); //!< Read in covmat for rep gen, generate covmat and sqrt + void LoadFitCovMat(std::string filename, bool ThUnc, std::vector bmask = {}); //!< Read in covmat for fitting, generate covmat and sqrt private: diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index c091cbd13d..d260640618 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -448,18 +448,18 @@ void Experiment::GenCovMat() /** * Read in covariance matrix for replica generation from file, and generate covariance matrix and its square root */ -void Experiment::LoadRepCovMat(string filename, std::vector bmask) +void Experiment::LoadRepCovMat(string filename, bool ThUnc, std::vector bmask) { - fSamplingMatrix = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, false, false, true, filename, bmask); + fSamplingMatrix = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, false, false, ThUnc, filename, bmask); fSamplingMatrix = ComputeSqrtMat(fSamplingMatrix); } /** * Read in covariance matrix to be used in fit from file, and generate covariance matrix and its square root */ -void Experiment::LoadFitCovMat(string filename, std::vector bmask) +void Experiment::LoadFitCovMat(string filename, bool ThUnc, std::vector bmask) { - fCovMat = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, true, true, true, filename, bmask); + fCovMat = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, true, true, ThUnc, filename, bmask); fSqrtCov = ComputeSqrtMat(fCovMat); } diff --git a/nnpdfcpp/src/chi2check/src/chi2check.cc b/nnpdfcpp/src/chi2check/src/chi2check.cc index 1384fe82a1..9943baa938 100644 --- a/nnpdfcpp/src/chi2check/src/chi2check.cc +++ b/nnpdfcpp/src/chi2check/src/chi2check.cc @@ -95,8 +95,8 @@ int main(int argc, char **argv) { string ThCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_theory_covmat.csv"; - exp->LoadRepCovMat(ThCovMatPath); - exp->LoadFitCovMat(ThCovMatPath); + exp->LoadRepCovMat(ThCovMatPath, settings.IsThCovSampling()); + exp->LoadFitCovMat(ThCovMatPath, settings.IsThCovFitting()); } exps.push_back(exp); diff --git a/nnpdfcpp/src/common/inc/nnpdfsettings.h b/nnpdfcpp/src/common/inc/nnpdfsettings.h index 423270e2aa..ad93d484a1 100644 --- a/nnpdfcpp/src/common/inc/nnpdfsettings.h +++ b/nnpdfcpp/src/common/inc/nnpdfsettings.h @@ -103,6 +103,8 @@ class NNPDFSettings map fTheory; bool fThUncertainties; //!< true if the fit uses an external runcard, false otherwise. + bool fThCovSampling; // true if the theory covariance matrix is included in the replicas generation + bool fThCovFitting; // true if the theroy covariance matrix is included in the fitting chi2 public: @@ -138,6 +140,8 @@ class NNPDFSettings bool IsQED() const; bool IsIC() const; bool IsThUncertainties() const { return fThUncertainties; } + bool IsThCovSampling() const { return fThCovSampling; } + bool IsThCovFitting() const { return fThCovFitting; } gsl_integration_workspace *GetGSLWorkspace() const { return fGSLWork; } //!< GSL integration workspace diff --git a/nnpdfcpp/src/common/src/nnpdfsettings.cc b/nnpdfcpp/src/common/src/nnpdfsettings.cc index 1ad7798a45..bf4682803d 100644 --- a/nnpdfcpp/src/common/src/nnpdfsettings.cc +++ b/nnpdfcpp/src/common/src/nnpdfsettings.cc @@ -140,7 +140,9 @@ NNPDFSettings::NNPDFSettings(const string &folder): fResultsDir(""), fTheoryDir(""), fGSLWork(NULL), - fThUncertainties(false) + fThUncertainties(false), + fThCovSampling(false), + fThCovFitting(false) { // Read current PDF grid name from file. Splash(); @@ -187,8 +189,16 @@ NNPDFSettings::NNPDFSettings(const string &folder): // Check if theory uncertainties are used if (Exists("theorycovmatconfig")) + { fThUncertainties = true; + // Check where theory uncertainties should be used + if (Get("sampling").as()) + fThCovSampling = true; + if (Get("fitting").as()) + fThCovFitting = true; + } + // load theory map IndexDB db(get_data_path() + "/theory.db", "theoryIndex"); db.ExtractMap(theoryID, APFEL::kValues, fTheory); diff --git a/nnpdfcpp/src/nnfit/src/nnfit.cc b/nnpdfcpp/src/nnfit/src/nnfit.cc index b69583c0a7..fb068b253e 100644 --- a/nnpdfcpp/src/nnfit/src/nnfit.cc +++ b/nnpdfcpp/src/nnfit/src/nnfit.cc @@ -313,8 +313,8 @@ int main(int argc, char **argv) { string ThCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_theory_covmat.csv"; - exp->LoadRepCovMat(ThCovMatPath); - exp->LoadFitCovMat(ThCovMatPath); + exp->LoadRepCovMat(ThCovMatPath, settings.IsThCovSampling()); + exp->LoadFitCovMat(ThCovMatPath, settings.IsThCovFitting()); } Convolute(fitset.get(),exp.get(),theory.data()); @@ -407,8 +407,8 @@ void LoadAllDataAndSplit(NNPDFSettings const& settings, { string ThCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_theory_covmat.csv"; - exp->LoadRepCovMat(ThCovMatPath); - exp->LoadFitCovMat(ThCovMatPath); + exp->LoadRepCovMat(ThCovMatPath, settings.IsThCovSampling()); + exp->LoadFitCovMat(ThCovMatPath, settings.IsThCovFitting()); } // Apply MC shifts @@ -579,10 +579,10 @@ void TrainValidSplit(NNPDFSettings const& settings, { string ThCovMatPath = settings.GetResultsDirectory() + "/tables/datacuts_theory_theorycovmatconfig_theory_covmat.csv"; - tr->LoadRepCovMat(ThCovMatPath, trCovMatMask); - tr->LoadFitCovMat(ThCovMatPath, trCovMatMask); + tr->LoadRepCovMat(ThCovMatPath, settings.IsThCovSampling(), trCovMatMask); + tr->LoadFitCovMat(ThCovMatPath, settings.IsThCovFitting(), trCovMatMask); - val->LoadRepCovMat(ThCovMatPath, valCovMatMask); - val->LoadFitCovMat(ThCovMatPath, valCovMatMask); + val->LoadRepCovMat(ThCovMatPath, settings.IsThCovSampling(), valCovMatMask); + val->LoadFitCovMat(ThCovMatPath, settings.IsThCovFitting(), valCovMatMask); } } From 78ad72ec3daa3a66c28991878164f053f94daa81 Mon Sep 17 00:00:00 2001 From: tgiani Date: Fri, 22 Mar 2019 10:16:04 +0000 Subject: [PATCH 185/429] fixing settings --- nnpdfcpp/src/common/src/nnpdfsettings.cc | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nnpdfcpp/src/common/src/nnpdfsettings.cc b/nnpdfcpp/src/common/src/nnpdfsettings.cc index bf4682803d..5a40b5bd97 100644 --- a/nnpdfcpp/src/common/src/nnpdfsettings.cc +++ b/nnpdfcpp/src/common/src/nnpdfsettings.cc @@ -193,9 +193,9 @@ NNPDFSettings::NNPDFSettings(const string &folder): fThUncertainties = true; // Check where theory uncertainties should be used - if (Get("sampling").as()) + if (Get("theorycovmatconfig","sampling").as()) fThCovSampling = true; - if (Get("fitting").as()) + if (Get("theorycovmatconfig","fitting").as()) fThCovFitting = true; } From 54e09129e107a3154a108d2a99ab51be9499a995 Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Fri, 22 Mar 2019 12:17:39 +0100 Subject: [PATCH 186/429] updating theory Q0 for large mc scales --- nnpdfcpp/data/theory.db | Bin 77824 -> 77824 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/nnpdfcpp/data/theory.db b/nnpdfcpp/data/theory.db index 9dca5e761a8e90ad3718aecb6d8eeb420835d2c8..0b536b056581582d4d7d4cf82c16a4a9f034a602 100644 GIT binary patch delta 216 zcmZp8z|!!5Wr8##(?l6(K_&)0nGL-BKNy(UKQOR=;6J$8P@sXm`2+j*5A2L$98$In zd<%I!x!-b4<#gbXV*A2+j%5XN6H^SM?Z!e0MlnV;1_p*E=|&e#22N=XPGL??Mj)8X z7$G@%LyiC=(_}?g_3iTo8PoaL4l(dO Date: Fri, 22 Mar 2019 13:34:49 +0000 Subject: [PATCH 187/429] adding vp-setupfit check and better flag names --- nnpdfcpp/src/common/src/nnpdfsettings.cc | 4 ++-- validphys2/src/validphys/config.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/nnpdfcpp/src/common/src/nnpdfsettings.cc b/nnpdfcpp/src/common/src/nnpdfsettings.cc index 5a40b5bd97..0a119adb2d 100644 --- a/nnpdfcpp/src/common/src/nnpdfsettings.cc +++ b/nnpdfcpp/src/common/src/nnpdfsettings.cc @@ -193,9 +193,9 @@ NNPDFSettings::NNPDFSettings(const string &folder): fThUncertainties = true; // Check where theory uncertainties should be used - if (Get("theorycovmatconfig","sampling").as()) + if (Get("theorycovmatconfig","use_thcovmat_in_sampling").as()) fThCovSampling = true; - if (Get("theorycovmatconfig","fitting").as()) + if (Get("theorycovmatconfig","use_thcovmat_in_fitting").as()) fThCovFitting = true; } diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index e986ba4017..b6bbe98f3e 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -683,7 +683,7 @@ def produce_all_lumi_channels(self): return {'lumi_channels': self.parse_lumi_channels(list(LUMI_CHANNELS))} @configparser.explicit_node - def produce_nnfit_theory_covmat(self): + def produce_nnfit_theory_covmat(self, use_thcovmat_in_sampling:bool, use_thcovmat_in_fitting:bool): from validphys.theorycovariance import theory_covmat_custom @functools.wraps(theory_covmat_custom) def res(*args, **kwargs): From 7ee52df34d8ee7738f69807b082974f37e4d906b Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 22 Mar 2019 15:28:13 +0000 Subject: [PATCH 188/429] adding bar plot for labels --- .../src/validphys/theorycovariance/output.py | 56 ++++++++++++++++--- 1 file changed, 49 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index 1d3813aebc..0ce8ba4bca 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -195,9 +195,15 @@ def plot_normthblockcovmat_heatmap(theory_normblockcovmat, dataset_index_byproce @figure def plot_normthcovmat_heatmap_custom(theory_normcovmat_custom, theoryids, - dataset_index_byprocess): + dataset_index_byprocess, + fivetheories:(str, type(None))=None): """Matrix plot for block diagonal theory covariance matrix by process type""" l = len(theoryids) + if l==5: + if fivetheories == "bar": + l = r"$\bar{5}$" + elif fivetheories == "linear": + l = "linear 5" fig = plot_covmat_heatmap(theory_normcovmat_custom, f"Theory covariance matrix for {l} points", dataset_index_byprocess) @@ -213,9 +219,15 @@ def plot_thblockcorrmat_heatmap(theory_blockcorrmat, dataset_index_byprocess): @figure def plot_thcorrmat_heatmap_custom(theory_corrmat_custom, theoryids, - dataset_index_byprocess): + dataset_index_byprocess, + fivetheories:(str, type(None))=None): """Matrix plot of the theory correlation matrix, correlations by process type""" l = len(theoryids) + if l==5: + if fivetheories == "bar": + l = r"$\bar{5}$" + elif fivetheories == "linear": + l = "linear 5" fig = plot_corrmat_heatmap(theory_corrmat_custom, f"Theory correlation matrix for {l} points", dataset_index_byprocess) @@ -232,9 +244,15 @@ def plot_normexpplusblockthcovmat_heatmap(experimentsplusblocktheory_normcovmat, @figure def plot_normexpplusthcovmat_heatmap_custom(experimentsplustheory_normcovmat_custom, - theoryids, dataset_index_byprocess): + theoryids, dataset_index_byprocess, + fivetheories:(str, type(None))=None): """Matrix plot of the exp + theory covariance matrix normalised to data""" l = len(theoryids) + if l==5: + if fivetheories == "bar": + l = r"$\bar{5}$" + elif fivetheories == "linear": + l = "linear 5" fig = plot_covmat_heatmap(experimentsplustheory_normcovmat_custom, f"Experiment + theory covariance matrix for {l} points", dataset_index_byprocess) @@ -251,9 +269,15 @@ def plot_expplusblockthcorrmat_heatmap(experimentsplusblocktheory_corrmat, @figure def plot_expplusthcorrmat_heatmap_custom(experimentsplustheory_corrmat_custom, - theoryids, dataset_index_byprocess): + theoryids, dataset_index_byprocess, + fivetheories:(str, type(None))=None): """Matrix plot of the exp + theory correlation matrix""" l = len(theoryids) + if l==5: + if fivetheories == "bar": + l = r"$\bar{5}$" + elif fivetheories == "linear": + l = "linear 5" fig = plot_corrmat_heatmap(experimentsplustheory_corrmat_custom, f"Experiment + theory correlation matrix for {l} points", dataset_index_byprocess) @@ -273,9 +297,15 @@ def plot_blockcovdiff_heatmap(theory_block_diag_covmat, experiments_covmat, @figure def plot_covdiff_heatmap_custom(theory_covmat_custom, experiments_covmat, - theoryids, dataset_index_byprocess): + theoryids, dataset_index_byprocess, + fivetheories:(str, type(None))=None): """Matrix plot (thcov + expcov)/expcov""" l = len(theoryids) + if l==5: + if fivetheories == "bar": + l = r"$\bar{5}$" + elif fivetheories == "linear": + l = "linear 5" df = (theory_covmat_custom+experiments_covmat )/np.mean(experiments_covmat.values) fig = plot_covmat_heatmap(df, @@ -286,9 +316,15 @@ def plot_covdiff_heatmap_custom(theory_covmat_custom, experiments_covmat, @figure def plot_diag_cov_comparison(theory_covmat_custom, experiments_covmat, - experiments_data, theoryids, dataset_index_byprocess): + experiments_data, theoryids, dataset_index_byprocess, + fivetheories:(str, type(None))=None): """Plot of sqrt(cov_ii)/|data_i| for cov = exp, theory, exp+theory""" l = len(theoryids) + if l==5: + if fivetheories == "bar": + l = r"$\bar{5}$" + elif fivetheories == "linear": + l = "linear 5" data = np.abs(experiments_data) sqrtdiags_th = np.sqrt(np.diag(theory_covmat_custom))/data sqrtdiags_th = pd.DataFrame(sqrtdiags_th.values, index=dataset_index_byprocess) @@ -326,9 +362,15 @@ def plot_diag_cov_comparison(theory_covmat_custom, experiments_covmat, @figure def plot_diag_cov_impact(theory_covmat_custom, experiments_covmat, - experiments_data, theoryids): + experiments_data, theoryids, + fivetheories:(str, type(None))=None): """Plot ((expcov)^-1_ii)^-0.5 versus ((expcov + thcov)^-1_ii)^-0.5""" l = len(theoryids) + if l==5: + if fivetheories == "bar": + l = r"$\bar{5}$" + elif fivetheories == "linear": + l = "linear 5" matrix_theory = theory_covmat_custom.values matrix_experiment = experiments_covmat.values inv_exp = (np.diag(la.inv(matrix_experiment)))**(-0.5)/experiments_data From 2507880053766d21b1dbea390b5d6c7a83361969 Mon Sep 17 00:00:00 2001 From: Zahari Date: Fri, 22 Mar 2019 18:15:35 +0000 Subject: [PATCH 189/429] Add experiment name to metadata Closes #411 --- nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASLOMASSDY11EXT.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB.yaml | 3 ++- .../data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASTTBARTOT.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASWPT31PB.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11CC.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11CF.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP36PB.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASWZTOT13TEV81PB.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASZHIGHMASS49FB.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASZPT7TEV.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASZPT8TEVMDIST.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASZPT8TEVYDIST.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_BCDMSD.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_BCDMSP.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_CDFR2KT.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_CDFZRAP.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_CHORUSNB.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_CHORUSNBPb.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_CHORUSNU.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_CHORUSNUPb.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_CMSDY2D11.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_CMSDY2D12.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_CMSJETS11.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_CMSWCHARMRAT.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_CMSWCHARMTOT.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_CMSWEASY840PB.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_CMSWMASY47FB.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_CMSWMU8TEV.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_CMSZDIFF12.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_D0R2CON.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_D0WEASY.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_D0WMASY.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_D0ZRAP.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_DYE605.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_DYE886P.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_DYE886R.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_EMCF2C.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_EMCF2D.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_EMCF2P.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_EMCF2c1987.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_H1HERAF2B.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_HERACOMBCCEM.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_HERACOMBCCEP.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEM.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP460.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP575.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP820.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP920.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_HERACOMB_SIGMARED_B.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_HERACOMB_SIGMARED_C.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_HERAF2CHARM.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_LHCBW36PB.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_LHCBWZMU7TEV.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_LHCBWZMU8TEV.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_LHCBZ940PB.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_LHCBZEE2FB.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_NMC.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_NMCPD.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_NTVNBDMN.yml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_NTVNBDMNFe.yml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_NTVNUDMN.yml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_NTVNUDMNFe.yml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_SLACD.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_SLACP.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_WEASY.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_WMASY.yaml | 3 ++- nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B.yaml | 2 ++ 77 files changed, 154 insertions(+), 24 deletions(-) diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11.yaml index 8c55f53236..975f732275 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11.yaml @@ -15,3 +15,5 @@ normalize: y_scale: linear figure_by: - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASLOMASSDY11EXT.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASLOMASSDY11EXT.yaml index 9709f23100..766a6abb5b 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASLOMASSDY11EXT.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASLOMASSDY11EXT.yaml @@ -1,3 +1,4 @@ dataset_label: "ATLAS low-mass DY 2011" x: k2 -y_label: '$d\sigma_{Z/\gamma^{*}}/dM_{ll}$ (fb)' \ No newline at end of file +y_label: '$d\sigma_{Z/\gamma^{*}}/dM_{ll}$ (fb)' +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12.yaml index fae8c9bf90..b497b20341 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12.yaml @@ -3,3 +3,5 @@ x: k2 y_label: '$d\sigma_{\gamma}}/dp_T ^\gamma$ (fb)' figure_by: - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15.yaml index 41f1c5c483..9031ec150d 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15.yaml @@ -3,3 +3,5 @@ x: k2 y_label: '$d\sigma_{\gamma}}/dp_T ^\gamma$ (fb)' figure_by: - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV.yaml index 16b1894239..612531f48f 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV.yaml @@ -8,4 +8,5 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB.yaml index 1c2581b48b..5346cb07ad 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB.yaml @@ -8,4 +8,5 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB.yaml index 1c2581b48b..5346cb07ad 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB.yaml @@ -8,4 +8,5 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM.yaml index b02c45a2bf..15f3d34e29 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM.yaml @@ -3,3 +3,5 @@ x: k1 y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_t$ (fb)' figure_by: - k2 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTTBARTOT.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTTBARTOT.yaml index 5571327976..68ddeda350 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASTTBARTOT.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTTBARTOT.yaml @@ -1 +1,3 @@ dataset_label: "ATLAS $\\sigma_{tt}^{\\rm tot}$" + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASWPT31PB.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASWPT31PB.yaml index 349e70276b..6446066e63 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASWPT31PB.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASWPT31PB.yaml @@ -4,4 +4,5 @@ x: k1 y_label: '$d\sigma_{W}/dp_T$' #x_label: 'W $|p_T|$' -kinematics_override: ewk_pt_sqrt_scale \ No newline at end of file +kinematics_override: ewk_pt_sqrt_scale +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11.yaml index 6da020e220..5a47b4df21 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11.yaml @@ -16,3 +16,5 @@ normalize: extra_labels: Boson: ["$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$"] + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11CC.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11CC.yaml index 317796d8f9..dce5ed1ae6 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11CC.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11CC.yaml @@ -26,3 +26,5 @@ extra_labels: '$Z_{high}$', '$Z_{high}$', '$Z_{high}$', '$Z_{high}$', '$Z_{high}$'] + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11CF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11CF.yaml index 0fc6727fb4..95885b20c4 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11CF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP11CF.yaml @@ -20,3 +20,5 @@ extra_labels: '$Z_{peak}$', '$Z_{high}$', '$Z_{high}$', '$Z_{high}$', '$Z_{high}$', '$Z_{high}$', '$Z_{high}$'] + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP36PB.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP36PB.yaml index fa869e6914..ad55cd468b 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP36PB.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASWZRAP36PB.yaml @@ -14,3 +14,5 @@ normalize: extra_labels: Boson: ["$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$"] + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASWZTOT13TEV81PB.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASWZTOT13TEV81PB.yaml index ec88b6c9c4..fbc547d238 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASWZTOT13TEV81PB.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASWZTOT13TEV81PB.yaml @@ -14,3 +14,5 @@ extra_labels: - W - W - Z + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASZHIGHMASS49FB.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASZHIGHMASS49FB.yaml index e7d21bf991..e75022df9c 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASZHIGHMASS49FB.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASZHIGHMASS49FB.yaml @@ -3,3 +3,5 @@ x: k2 y_label: '$d\sigma_{Z/\gamma^{*}}/dM_{ll}$ (fb)' y_scale: log kinematics_override: dyp_sqrt_scale + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASZPT7TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASZPT7TEV.yaml index 4408053f3c..1c9cd2f163 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASZPT7TEV.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASZPT7TEV.yaml @@ -7,3 +7,5 @@ figure_by: - k1 kinematics_override: jet_sqrt_scale + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASZPT8TEVMDIST.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASZPT8TEVMDIST.yaml index a50d451c15..5f933bc744 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASZPT8TEVMDIST.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASZPT8TEVMDIST.yaml @@ -3,3 +3,5 @@ x: k1 y_label: '$d\sigma_{Z/\gamma^{*}}/dp_T$ (fb)' figure_by: - k2 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASZPT8TEVYDIST.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASZPT8TEVYDIST.yaml index 384fcc70d7..59d9a1eae0 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASZPT8TEVYDIST.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASZPT8TEVYDIST.yaml @@ -5,3 +5,5 @@ figure_by: - k1 kinematics_override: jet_sqrt_scale + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_BCDMSD.yaml b/nnpdfcpp/data/commondata/PLOTTING_BCDMSD.yaml index 23c6677d7d..f2ff665077 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_BCDMSD.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_BCDMSD.yaml @@ -16,3 +16,5 @@ normalize: figure_by: - k1 - k3 + +experiment: "BCDMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_BCDMSP.yaml b/nnpdfcpp/data/commondata/PLOTTING_BCDMSP.yaml index bd7b155235..7a32a48451 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_BCDMSP.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_BCDMSP.yaml @@ -16,3 +16,5 @@ normalize: figure_by: - k1 - k3 + +experiment: "BCDMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT.yaml b/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT.yaml index aad6530f21..0fc9f227dc 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT.yaml @@ -8,4 +8,5 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 +experiment: "CDF" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CDFZRAP.yaml b/nnpdfcpp/data/commondata/PLOTTING_CDFZRAP.yaml index d88d3c8095..c0e7dbf384 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CDFZRAP.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CDFZRAP.yaml @@ -1,4 +1,5 @@ dataset_label: "CDF $Z$ rapidity" x: k1 y_label: '$d\sigma_{Z/\gamma^{*}}/dy$ (fb)' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' +experiment: "CDF" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CHORUSNB.yaml b/nnpdfcpp/data/commondata/PLOTTING_CHORUSNB.yaml index 413063cc18..ebc560fba1 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CHORUSNB.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CHORUSNB.yaml @@ -15,3 +15,5 @@ normalize: line_by: [] figure_by: - k1 + +experiment: "CHORUS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CHORUSNBPb.yaml b/nnpdfcpp/data/commondata/PLOTTING_CHORUSNBPb.yaml index 413063cc18..ebc560fba1 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CHORUSNBPb.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CHORUSNBPb.yaml @@ -15,3 +15,5 @@ normalize: line_by: [] figure_by: - k1 + +experiment: "CHORUS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CHORUSNU.yaml b/nnpdfcpp/data/commondata/PLOTTING_CHORUSNU.yaml index 58f649e3ef..44947c7793 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CHORUSNU.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CHORUSNU.yaml @@ -15,3 +15,5 @@ normalize: line_by: [] figure_by: - k1 + +experiment: "CHORUS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CHORUSNUPb.yaml b/nnpdfcpp/data/commondata/PLOTTING_CHORUSNUPb.yaml index 58f649e3ef..44947c7793 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CHORUSNUPb.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CHORUSNUPb.yaml @@ -15,3 +15,5 @@ normalize: line_by: [] figure_by: - k1 + +experiment: "CHORUS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV.yaml index 5f28e20727..2be06f5c4c 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV.yaml @@ -8,4 +8,5 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSDY2D11.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSDY2D11.yaml index 83e2806701..c362b846c2 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSDY2D11.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSDY2D11.yaml @@ -3,3 +3,5 @@ x: k1 y_label: '$d\sigma_{Z/\gamma^{*}}/dy$ (fb)' figure_by: - k2 + +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSDY2D12.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSDY2D12.yaml index 5fc491109c..78e82908e7 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSDY2D12.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSDY2D12.yaml @@ -3,3 +3,5 @@ x: k1 y_label: '$d\sigma_{Z/\gamma^{*}}/dy$ (fb)' figure_by: - k2 + +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11.yaml index 8804df0dc8..55cab95a02 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11.yaml @@ -15,3 +15,5 @@ normalize: line_by: - k1 + +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml index a3b0c3be2f..155141a307 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml @@ -4,4 +4,5 @@ y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_{t\bar{t}}$ (fb)' figure_by: - k2 -kinematics_override: hqp_yqq_sqrt_scale \ No newline at end of file +kinematics_override: hqp_yqq_sqrt_scale +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT.yaml index d67250dfc3..b6511c270d 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT.yaml @@ -1 +1,3 @@ dataset_label: "CMS $\\sigma_{tt}^{\\rm tot}$" + +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSWCHARMRAT.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSWCHARMRAT.yaml index 2a31c5b73c..3a8932ea7b 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSWCHARMRAT.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSWCHARMRAT.yaml @@ -1,4 +1,5 @@ dataset_label: "CMS $W+c$ ratio" x: k1 y_label: '$\sigma(W^+ + \bar{c})/\sigma(W^- + c)$' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSWCHARMTOT.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSWCHARMTOT.yaml index 2bc43fb72f..1c1f5ec241 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSWCHARMTOT.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSWCHARMTOT.yaml @@ -1,4 +1,5 @@ dataset_label: "CMS $W+c$ total" x: k1 y_label: '$d\sigma(W+c)/d|\eta_l|$ (fb)' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSWEASY840PB.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSWEASY840PB.yaml index a05bbb647f..19eb81e175 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSWEASY840PB.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSWEASY840PB.yaml @@ -1,4 +1,5 @@ dataset_label: "CMS $W$ asymmetry 840 pb" x: k1 y_label: '$dA_{e}/dy$' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSWMASY47FB.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSWMASY47FB.yaml index f89efa5749..f4c9e84777 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSWMASY47FB.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSWMASY47FB.yaml @@ -1,4 +1,5 @@ dataset_label: "CMS $W$ asymmetry 4.7 fb" x: k1 y_label: '$dA_{\mu}/dy$' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSWMU8TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSWMU8TEV.yaml index 04c63b8d26..7f67bd71a3 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSWMU8TEV.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSWMU8TEV.yaml @@ -1,4 +1,5 @@ dataset_label: "CMS $W$ rapidity 8 TeV" x: k1 y_label: '$d\sigma(W\to l\nu)/dy_l$' -#x_label: 'Lepton rapidity $|y_l|$' \ No newline at end of file +#x_label: 'Lepton rapidity $|y_l|$' +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSZDIFF12.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSZDIFF12.yaml index 76b38f71e8..5023b593e3 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSZDIFF12.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSZDIFF12.yaml @@ -3,3 +3,5 @@ x: k1 y_label: '$d\sigma_{Z/\gamma^{*}}/d\eta$ (fb)' figure_by: - k2 + +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_D0R2CON.yaml b/nnpdfcpp/data/commondata/PLOTTING_D0R2CON.yaml index f79f941924..7e49866e29 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_D0R2CON.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_D0R2CON.yaml @@ -9,4 +9,5 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 +experiment: "D0" diff --git a/nnpdfcpp/data/commondata/PLOTTING_D0WEASY.yaml b/nnpdfcpp/data/commondata/PLOTTING_D0WEASY.yaml index cd77a6d43a..fef2f8e2b2 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_D0WEASY.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_D0WEASY.yaml @@ -1,4 +1,5 @@ dataset_label: "D0 $W\\to e\\nu$ asymmetry" x: k1 y_label: '$dA_{e}/dy$' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' +experiment: "D0" diff --git a/nnpdfcpp/data/commondata/PLOTTING_D0WMASY.yaml b/nnpdfcpp/data/commondata/PLOTTING_D0WMASY.yaml index e766730467..38504756cf 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_D0WMASY.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_D0WMASY.yaml @@ -1,4 +1,5 @@ dataset_label: "D0 $W\\to \\mu\\nu$ asymmetry" x: k1 y_label: '$dA_{\mu}/dy$' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' +experiment: "D0" diff --git a/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP.yaml b/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP.yaml index e9c0ad4412..4a8c8e0cbd 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP.yaml @@ -1,4 +1,5 @@ dataset_label: "D0 $Z$ rapidity" x: k1 y_label: '$1/\sigma\;d\sigma_{Z/\gamma^{*}}/dy$' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' +experiment: "D0" diff --git a/nnpdfcpp/data/commondata/PLOTTING_DYE605.yaml b/nnpdfcpp/data/commondata/PLOTTING_DYE605.yaml index c02e74afa8..d3d1ecb3f4 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_DYE605.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_DYE605.yaml @@ -6,4 +6,5 @@ y_scale: log result_transform: qbindyp kinematics_override: dyp_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 +experiment: "DYE605" diff --git a/nnpdfcpp/data/commondata/PLOTTING_DYE886P.yaml b/nnpdfcpp/data/commondata/PLOTTING_DYE886P.yaml index b3732b93ff..79becb0b4b 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_DYE886P.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_DYE886P.yaml @@ -44,3 +44,5 @@ extra_labels: 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15 ] + +experiment: "DYE886" diff --git a/nnpdfcpp/data/commondata/PLOTTING_DYE886R.yaml b/nnpdfcpp/data/commondata/PLOTTING_DYE886R.yaml index 9a893f671b..07ddef5bac 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_DYE886R.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_DYE886R.yaml @@ -5,3 +5,5 @@ y_label: '$\sigma_{pd}/\sigma_{pp}$' extra_labels: $x_2$: [0.026,0.038,0.053,0.067,0.082,0.097,0.112,0.127,0.141,0.162,0.186,0.212,0.237,0.269,0.315] + +experiment: "DYE886" diff --git a/nnpdfcpp/data/commondata/PLOTTING_EMCF2C.yaml b/nnpdfcpp/data/commondata/PLOTTING_EMCF2C.yaml index 92c98777d5..e2cb8da434 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_EMCF2C.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_EMCF2C.yaml @@ -9,3 +9,5 @@ result_transform: qbinexp line_by: - k2 + +experiment: "EMC" diff --git a/nnpdfcpp/data/commondata/PLOTTING_EMCF2D.yaml b/nnpdfcpp/data/commondata/PLOTTING_EMCF2D.yaml index 4e00338b7a..2199d2593d 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_EMCF2D.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_EMCF2D.yaml @@ -6,3 +6,5 @@ dataset_label: "EMC $F^2_d^{\\rm NC}$" x_scale: log #result_transform: qbinEMC + +experiment: "EMC" diff --git a/nnpdfcpp/data/commondata/PLOTTING_EMCF2P.yaml b/nnpdfcpp/data/commondata/PLOTTING_EMCF2P.yaml index 77f9c6a436..0f532f74f7 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_EMCF2P.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_EMCF2P.yaml @@ -37,3 +37,5 @@ extra_labels: 3,3,3,3,3,3,3,3,3,3, 3,3,3,3,3,3,3,3,3,3,3 ] + +experiment: "EMC" diff --git a/nnpdfcpp/data/commondata/PLOTTING_EMCF2c1987.yaml b/nnpdfcpp/data/commondata/PLOTTING_EMCF2c1987.yaml index 1848daf7a3..07ad217843 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_EMCF2c1987.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_EMCF2c1987.yaml @@ -10,3 +10,5 @@ line_by: #extra_labels: # qbin: [0, 0, 1, 1, 2, 1, 2, 3, 2, 3, 4, 3, 4, 5, 4, 5, 6, 5, 6, 7, 7] + +experiment: "EMC" diff --git a/nnpdfcpp/data/commondata/PLOTTING_H1HERAF2B.yaml b/nnpdfcpp/data/commondata/PLOTTING_H1HERAF2B.yaml index af5c92a2ab..5b7cc3ab3a 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_H1HERAF2B.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_H1HERAF2B.yaml @@ -11,3 +11,5 @@ normalize: line_by: - k2 + +experiment: "F2BOTTOM" diff --git a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBCCEM.yaml b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBCCEM.yaml index 62daf81bb8..21c0821f77 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBCCEM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBCCEM.yaml @@ -12,3 +12,5 @@ normalize: line_by: [] figure_by: - k2 + +experiment: "HERACOMB" diff --git a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBCCEP.yaml b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBCCEP.yaml index f5c4d04bf2..a449437818 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBCCEP.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBCCEP.yaml @@ -12,3 +12,5 @@ normalize: line_by: [] figure_by: - k2 + +experiment: "HERACOMB" diff --git a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEM.yaml b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEM.yaml index 847c5a3522..2a927e3ce7 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEM.yaml @@ -35,3 +35,5 @@ extra_labels: 1,1,1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1,1 ] + +experiment: "HERACOMB" diff --git a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP460.yaml b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP460.yaml index 2baab90d18..ceff787085 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP460.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP460.yaml @@ -41,3 +41,5 @@ extra_labels: 2,2,2,2,2,2,2,2,2,2, 2,2,2,2,2,2,2 ] + +experiment: "HERACOMB" diff --git a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP575.yaml b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP575.yaml index 65328265a7..684787e431 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP575.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP575.yaml @@ -47,3 +47,5 @@ extra_labels: 3,3,3,3,3,3,3,3,3,3, 3,3 ] + +experiment: "HERACOMB" diff --git a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP820.yaml b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP820.yaml index f4d59078f1..91db56781d 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP820.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP820.yaml @@ -31,3 +31,5 @@ extra_labels: 1,1,1,1,1,1,1,1,1,1, 1,1,1 ] + +experiment: "HERACOMB" diff --git a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP920.yaml b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP920.yaml index 3578e9367b..054facbb97 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP920.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_HERACOMBNCEP920.yaml @@ -7,4 +7,5 @@ y_scale: linear line_by: - k2 figure_by: - - k2 \ No newline at end of file + - k2 +experiment: "HERACOMB" diff --git a/nnpdfcpp/data/commondata/PLOTTING_HERACOMB_SIGMARED_B.yaml b/nnpdfcpp/data/commondata/PLOTTING_HERACOMB_SIGMARED_B.yaml index 33194f9dba..57c6c5ecd8 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_HERACOMB_SIGMARED_B.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_HERACOMB_SIGMARED_B.yaml @@ -12,3 +12,5 @@ normalize: line_by: [] figure_by: - k2 + +experiment: "HERACOMB" diff --git a/nnpdfcpp/data/commondata/PLOTTING_HERACOMB_SIGMARED_C.yaml b/nnpdfcpp/data/commondata/PLOTTING_HERACOMB_SIGMARED_C.yaml index dadf20c586..88ffc79a61 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_HERACOMB_SIGMARED_C.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_HERACOMB_SIGMARED_C.yaml @@ -12,3 +12,5 @@ normalize: line_by: [] figure_by: - k2 + +experiment: "HERACOMB" diff --git a/nnpdfcpp/data/commondata/PLOTTING_HERAF2CHARM.yaml b/nnpdfcpp/data/commondata/PLOTTING_HERAF2CHARM.yaml index bdd2c1d021..0443fc17d2 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_HERAF2CHARM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_HERAF2CHARM.yaml @@ -12,3 +12,5 @@ normalize: line_by: [] figure_by: - k2 + +experiment: "HERAF2CHARM" diff --git a/nnpdfcpp/data/commondata/PLOTTING_LHCBW36PB.yaml b/nnpdfcpp/data/commondata/PLOTTING_LHCBW36PB.yaml index bf956caa68..83972aa332 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_LHCBW36PB.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_LHCBW36PB.yaml @@ -9,3 +9,5 @@ line_by: extra_labels: Boson: ["$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$"] + +experiment: "LHCb" diff --git a/nnpdfcpp/data/commondata/PLOTTING_LHCBWZMU7TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_LHCBWZMU7TEV.yaml index baa51d7654..8c7a8c5f6a 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_LHCBWZMU7TEV.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_LHCBWZMU7TEV.yaml @@ -10,3 +10,5 @@ figure_by: extra_labels: Boson: ["$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$", "$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$", "$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$"] + +experiment: "LHCb" diff --git a/nnpdfcpp/data/commondata/PLOTTING_LHCBWZMU8TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_LHCBWZMU8TEV.yaml index d94f434abe..3b1f9b4f10 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_LHCBWZMU8TEV.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_LHCBWZMU8TEV.yaml @@ -9,3 +9,5 @@ figure_by: extra_labels: Boson: ["$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$","$Z$", "$Z$", "$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$","$W^+$", "$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$","$W^-$"] + +experiment: "LHCb" diff --git a/nnpdfcpp/data/commondata/PLOTTING_LHCBZ940PB.yaml b/nnpdfcpp/data/commondata/PLOTTING_LHCBZ940PB.yaml index 1d0b211c94..f5ebf4199b 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_LHCBZ940PB.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_LHCBZ940PB.yaml @@ -1,4 +1,5 @@ dataset_label: "LHCb $Z$ 940 pb" x: k1 y_label: '$d\sigma_{Z/\gamma^{*}}/dy$ (fb)' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' +experiment: "LHCb" diff --git a/nnpdfcpp/data/commondata/PLOTTING_LHCBZEE2FB.yaml b/nnpdfcpp/data/commondata/PLOTTING_LHCBZEE2FB.yaml index defe00a748..fa2f87e7cb 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_LHCBZEE2FB.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_LHCBZEE2FB.yaml @@ -1,4 +1,5 @@ dataset_label: "LHCb $Z\\to ee$ 2 fb" x: k1 y_label: '$d\sigma_{Z/\gamma^{*}}/dy$ (fb)' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' +experiment: "LHCb" diff --git a/nnpdfcpp/data/commondata/PLOTTING_NMC.yaml b/nnpdfcpp/data/commondata/PLOTTING_NMC.yaml index 82d7986426..74b7d4a3b5 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_NMC.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_NMC.yaml @@ -16,3 +16,5 @@ normalize: figure_by: - k3 - k1 + +experiment: "NMC" diff --git a/nnpdfcpp/data/commondata/PLOTTING_NMCPD.yaml b/nnpdfcpp/data/commondata/PLOTTING_NMCPD.yaml index c609655c3a..958266968c 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_NMCPD.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_NMCPD.yaml @@ -10,3 +10,5 @@ data_reference: Arneodo:1996qe #y_scale: log figure_by: - k1 + +experiment: "NMC" diff --git a/nnpdfcpp/data/commondata/PLOTTING_NTVNBDMN.yml b/nnpdfcpp/data/commondata/PLOTTING_NTVNBDMN.yml index 46e3c9e0b2..3816454e0f 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_NTVNBDMN.yml +++ b/nnpdfcpp/data/commondata/PLOTTING_NTVNBDMN.yml @@ -15,3 +15,5 @@ normalize: line_by: [] figure_by: - k1 + +experiment: "NTVDMN" diff --git a/nnpdfcpp/data/commondata/PLOTTING_NTVNBDMNFe.yml b/nnpdfcpp/data/commondata/PLOTTING_NTVNBDMNFe.yml index 46e3c9e0b2..3816454e0f 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_NTVNBDMNFe.yml +++ b/nnpdfcpp/data/commondata/PLOTTING_NTVNBDMNFe.yml @@ -15,3 +15,5 @@ normalize: line_by: [] figure_by: - k1 + +experiment: "NTVDMN" diff --git a/nnpdfcpp/data/commondata/PLOTTING_NTVNUDMN.yml b/nnpdfcpp/data/commondata/PLOTTING_NTVNUDMN.yml index 72ffd4b4a6..698ccce04e 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_NTVNUDMN.yml +++ b/nnpdfcpp/data/commondata/PLOTTING_NTVNUDMN.yml @@ -15,3 +15,5 @@ normalize: line_by: [] figure_by: - k1 + +experiment: "NTVDMN" diff --git a/nnpdfcpp/data/commondata/PLOTTING_NTVNUDMNFe.yml b/nnpdfcpp/data/commondata/PLOTTING_NTVNUDMNFe.yml index 72ffd4b4a6..698ccce04e 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_NTVNUDMNFe.yml +++ b/nnpdfcpp/data/commondata/PLOTTING_NTVNUDMNFe.yml @@ -15,3 +15,5 @@ normalize: line_by: [] figure_by: - k1 + +experiment: "NTVDMN" diff --git a/nnpdfcpp/data/commondata/PLOTTING_SLACD.yaml b/nnpdfcpp/data/commondata/PLOTTING_SLACD.yaml index 2757000b66..4c881cc2d8 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_SLACD.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_SLACD.yaml @@ -9,3 +9,5 @@ data_reference: Whitlow:1991uw y_scale: symlog line_by: - k1 + +experiment: "SLAC" diff --git a/nnpdfcpp/data/commondata/PLOTTING_SLACP.yaml b/nnpdfcpp/data/commondata/PLOTTING_SLACP.yaml index 2f5f3ca137..ddf9671ab7 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_SLACP.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_SLACP.yaml @@ -9,3 +9,5 @@ data_reference: Whitlow:1991uw y_scale: symlog line_by: - k1 + +experiment: "SLAC" diff --git a/nnpdfcpp/data/commondata/PLOTTING_WEASY.yaml b/nnpdfcpp/data/commondata/PLOTTING_WEASY.yaml index b2ca246f9a..8cd5e04a1c 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_WEASY.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_WEASY.yaml @@ -1,4 +1,5 @@ dataset_label: "CMS $W\\to e\\nu$ asymmetry" x: k1 y_label: '$dA_{e}/dy$' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_WMASY.yaml b/nnpdfcpp/data/commondata/PLOTTING_WMASY.yaml index b8e8a51ec9..469248ea1c 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_WMASY.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_WMASY.yaml @@ -1,4 +1,5 @@ dataset_label: "CMS $W\\to \\mu\\nu$ asymmetry" x: k1 y_label: '$dA_{\mu}/dy$' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B.yaml b/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B.yaml index ae0a3d4806..332b6288fe 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B.yaml @@ -10,3 +10,5 @@ normalize: figure_by: - two_Q2_bins y_scale: linear + +experiment: "F2BOTTOM" From 2fa55ba024de74e826e97b9790154170a26dcff5 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sun, 24 Mar 2019 15:38:51 +0100 Subject: [PATCH 190/429] Updated asymmetric data sets --- .../data/NNLOCFAC/CF_QCD_ATLAS1JET11_SF.dat | 149 +++++++++ .../data/NNLOCFAC/CF_QCD_CMSJETS11_SF.dat | 142 +++++++++ nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat | 2 + .../THSYS-ATLAS1JET11_SF-00-05.dat | 40 +++ .../THSYS-ATLAS1JET11_SF-05-10.dat | 38 +++ .../THSYS-ATLAS1JET11_SF-10-15.dat | 35 +++ .../THSYS-ATLAS1JET11_SF-15-20.dat | 32 ++ .../THSYS-ATLAS1JET11_SF-20-25.dat | 28 ++ .../THSYS-ATLAS1JET11_SF-25-30.dat | 21 ++ .../THSYS-ATLASR04JETS2P76TEV_SF-1.dat | 20 ++ .../THSYS-ATLASR04JETS2P76TEV_SF-2.dat | 20 ++ .../THSYS-ATLASR04JETS2P76TEV_SF-3.dat | 19 ++ .../THSYS-ATLASR04JETS2P76TEV_SF-4.dat | 19 ++ .../THSYS-ATLASR04JETS2P76TEV_SF-5.dat | 17 ++ .../THSYS-ATLASR04JETS2P76TEV_SF-6.dat | 15 + .../THSYS-ATLASR04JETS2P76TEV_SF-7.dat | 12 + .../THSYS-ATLASR04JETS36PB_SF-1.dat | 25 ++ .../THSYS-ATLASR04JETS36PB_SF-2.dat | 25 ++ .../THSYS-ATLASR04JETS36PB_SF-3.dat | 25 ++ .../THSYS-ATLASR04JETS36PB_SF-4.dat | 24 ++ .../THSYS-ATLASR04JETS36PB_SF-5.dat | 21 ++ .../THSYS-ATLASR04JETS36PB_SF-6.dat | 18 ++ .../THSYS-ATLASR04JETS36PB_SF-7.dat | 15 + .../31systematics/THSYS-CDFR2KT_SF-all.dat | 85 ++++++ .../THSYS-CMS1JET276TEV_SF-00-05.dat | 28 ++ .../THSYS-CMS1JET276TEV_SF-05-10.dat | 27 ++ .../THSYS-CMS1JET276TEV_SF-10-15.dat | 25 ++ .../THSYS-CMS1JET276TEV_SF-15-20.dat | 22 ++ .../THSYS-CMS1JET276TEV_SF-20-25.dat | 18 ++ .../THSYS-CMS1JET276TEV_SF-25-30.dat | 15 + .../THSYS-CMSJETS11_SF-00_05.dat | 42 +++ .../THSYS-CMSJETS11_SF-05_10.dat | 39 +++ .../THSYS-CMSJETS11_SF-10_15.dat | 36 +++ .../THSYS-CMSJETS11_SF-15_20.dat | 33 ++ .../THSYS-CMSJETS11_SF-20_25.dat | 28 ++ .../commondata/31systematics/process_jets.sh | 2 +- .../data/commondata/DATA_ATLAS1JET11_SF.dat | 282 +++++++++--------- .../DATA_ATLASR04JETS2P76TEV_SF.dat | 120 ++++---- .../commondata/DATA_ATLASR04JETS36PB_SF.dat | 182 +++++------ nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat | 154 +++++----- .../data/commondata/DATA_CMS1JET276TEV_SF.dat | 164 +++++----- .../data/commondata/DATA_CMSJETS11_SF.dat | 268 ++++++++--------- nnpdfcpp/data/commondata/DATA_POSF2DW.dat | 40 +-- nnpdfcpp/data/commondata/DATA_POSF2S.dat | 40 +-- nnpdfcpp/data/commondata/DATA_POSF2U.dat | 40 +-- nnpdfcpp/data/commondata/DATA_POSFLL.dat | 40 +-- 46 files changed, 1826 insertions(+), 666 deletions(-) create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS1JET11_SF.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_CMSJETS11_SF.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-00-05.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-05-10.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-10-15.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-15-20.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-20-25.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-25-30.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-1.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-2.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-3.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-4.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-5.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-6.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-7.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-1.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-2.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-3.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-4.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-5.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-6.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-7.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CDFR2KT_SF-all.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-00-05.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-05-10.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-10-15.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-15-20.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-20-25.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-25-30.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-00_05.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-05_10.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-10_15.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-15_20.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-20_25.dat diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS1JET11_SF.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS1JET11_SF.dat new file mode 100644 index 0000000000..d9b55b3137 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS1JET11_SF.dat @@ -0,0 +1,149 @@ +******************************************************************************************* +SetName: ATLAS1JET11 +Author: J. Curry, N. Glover, J. Pires +Date: March 2017 +CodesUsed: Private pp->jj code +TheoryInput: NNPDF3.0 NNLO, alphas(MZ)=0.118, R=0.6 +PDFset: NNPDF30_nnlo_as_0118 +Warnings: Uses average pt as central scale, errors quoted are MC statistical uncertainties. +******************************************************************************************** +9.618090E-01 4.011770E-03 +9.578620E-01 3.953720E-03 +9.649250E-01 4.329370E-03 +9.670370E-01 4.161400E-03 +9.605180E-01 4.105260E-03 +9.710980E-01 4.301840E-03 +9.745430E-01 4.308180E-03 +9.746740E-01 4.564520E-03 +9.804710E-01 4.488400E-03 +9.762350E-01 4.569990E-03 +9.804000E-01 4.876720E-03 +9.851340E-01 4.912330E-03 +9.866520E-01 4.910980E-03 +9.878810E-01 4.947880E-03 +9.873040E-01 5.061210E-03 +9.923360E-01 5.193680E-03 +9.952990E-01 5.420080E-03 +9.896220E-01 5.495780E-03 +9.956420E-01 5.465330E-03 +9.980980E-01 5.965300E-03 +1.000870E+00 6.167030E-03 +1.000690E+00 6.544100E-03 +1.010940E+00 7.076790E-03 +1.020940E+00 7.295720E-03 +1.023200E+00 8.165660E-03 +1.035940E+00 1.010180E-02 +1.019800E+00 1.093240E-02 +1.034320E+00 8.578970E-03 +1.042420E+00 6.973830E-03 +1.065520E+00 6.863710E-03 +1.087220E+00 5.929240E-03 +9.497920E-01 4.321770E-03 +9.649890E-01 4.302580E-03 +9.665990E-01 4.592950E-03 +9.637460E-01 4.491810E-03 +9.688400E-01 4.375740E-03 +9.680730E-01 4.608810E-03 +9.753700E-01 4.548710E-03 +9.732140E-01 4.798200E-03 +9.771700E-01 4.808010E-03 +9.868400E-01 4.797220E-03 +9.816200E-01 5.105870E-03 +9.773390E-01 5.167130E-03 +9.872970E-01 5.159930E-03 +9.886760E-01 5.204360E-03 +9.924410E-01 5.460390E-03 +9.824600E-01 5.680090E-03 +9.960800E-01 5.971140E-03 +9.879670E-01 5.998180E-03 +1.001050E+00 6.290450E-03 +9.866840E-01 6.428390E-03 +1.010440E+00 6.837530E-03 +1.000800E+00 7.831680E-03 +1.007410E+00 7.962530E-03 +1.005940E+00 9.085460E-03 +1.016220E+00 1.013640E-02 +1.014210E+00 1.109600E-02 +1.020070E+00 7.231710E-03 +1.041330E+00 8.494000E-03 +1.056170E+00 6.818350E-03 +9.547930E-01 4.533940E-03 +9.651890E-01 4.488020E-03 +9.751720E-01 4.795580E-03 +9.699980E-01 4.667780E-03 +9.686780E-01 4.533780E-03 +9.658220E-01 4.782100E-03 +9.857440E-01 4.800440E-03 +9.714430E-01 5.058900E-03 +9.813470E-01 5.044540E-03 +9.838800E-01 5.103660E-03 +9.804880E-01 5.486290E-03 +9.836910E-01 5.679160E-03 +9.826400E-01 5.577880E-03 +9.906190E-01 5.726290E-03 +9.836060E-01 5.860720E-03 +9.889930E-01 6.156340E-03 +9.874300E-01 6.577780E-03 +9.881950E-01 6.890890E-03 +9.847570E-01 7.274080E-03 +9.926840E-01 8.299030E-03 +9.896600E-01 8.649960E-03 +9.896110E-01 9.451120E-03 +1.009860E+00 1.126750E-02 +1.000390E+00 1.243670E-02 +1.004970E+00 9.287420E-03 +1.020140E+00 9.031050E-03 +9.589990E-01 4.924230E-03 +9.562610E-01 4.817750E-03 +9.660880E-01 5.160470E-03 +9.590130E-01 5.030780E-03 +9.680000E-01 4.968680E-03 +9.747630E-01 5.281710E-03 +9.748600E-01 5.299310E-03 +9.730460E-01 5.679830E-03 +9.734550E-01 5.947510E-03 +9.723850E-01 6.056970E-03 +9.739290E-01 6.597970E-03 +9.757130E-01 6.889690E-03 +9.742370E-01 6.885540E-03 +9.797390E-01 7.392260E-03 +9.828570E-01 8.157450E-03 +9.781730E-01 9.078030E-03 +9.819810E-01 9.412450E-03 +9.752670E-01 1.207660E-02 +9.697190E-01 1.262280E-02 +9.708240E-01 1.481820E-02 +9.917940E-01 1.668480E-02 +9.880970E-01 1.285600E-02 +1.013630E+00 1.921140E-02 +9.562720E-01 5.563180E-03 +9.559610E-01 5.494600E-03 +9.614180E-01 5.888630E-03 +9.675850E-01 6.112960E-03 +9.628830E-01 5.988560E-03 +9.589270E-01 6.831590E-03 +9.621070E-01 6.889090E-03 +9.791680E-01 7.481880E-03 +9.565890E-01 8.393600E-03 +9.685840E-01 8.772810E-03 +9.705100E-01 1.035000E-02 +9.417430E-01 1.128480E-02 +9.641650E-01 1.347100E-02 +9.379140E-01 1.461010E-02 +9.457560E-01 1.760620E-02 +9.500790E-01 2.173250E-02 +9.599240E-01 2.726160E-02 +9.499720E-01 2.757790E-02 +1.019050E+00 3.796460E-02 +9.381290E-01 7.115450E-03 +9.423670E-01 7.198700E-03 +9.608040E-01 8.186510E-03 +9.265390E-01 8.366690E-03 +9.490620E-01 9.261000E-03 +9.397050E-01 1.077320E-02 +9.369260E-01 1.212630E-02 +9.315500E-01 1.477460E-02 +9.217920E-01 1.871280E-02 +9.119350E-01 2.296890E-02 +9.068350E-01 2.193610E-02 +9.116110E-01 3.433390E-02 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMSJETS11_SF.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMSJETS11_SF.dat new file mode 100644 index 0000000000..3315a49860 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMSJETS11_SF.dat @@ -0,0 +1,142 @@ +******************************************************************************************* +SetName: CMSJETS11 +Author: J. Curry, N. Glover, J. Pires +Date: March 2017 +CodesUsed: Private pp->jj code +TheoryInput: MMHT2014 NNLO, alphas(MZ)=0.118 +PDFset: MMHT2014nnlo68cl +Warnings: Uses pt_jet as central scale rather than pt_leading. (points with 0 error are not provided by CGP so we extend its values from the previous point) +******************************************************************************************** +9.811500E-01 5.855550E-03 +1.000940E+00 5.846310E-03 +9.901840E-01 5.933610E-03 +9.907510E-01 6.005570E-03 +9.949820E-01 5.925630E-03 +1.000300E+00 6.058590E-03 +9.898640E-01 5.897610E-03 +9.935830E-01 5.870930E-03 +1.021840E+00 8.200500E-03 +1.003170E+00 5.636940E-03 +1.006720E+00 5.656800E-03 +1.014070E+00 5.654350E-03 +1.008870E+00 5.260040E-03 +1.010790E+00 5.334560E-03 +1.002200E+00 5.208250E-03 +1.009110E+00 5.015320E-03 +1.022450E+00 5.138110E-03 +1.020480E+00 5.593430E-03 +1.020610E+00 5.857690E-03 +1.023530E+00 6.480530E-03 +1.028660E+00 6.919730E-03 +1.027460E+00 6.314770E-03 +1.033820E+00 6.051420E-03 +1.039030E+00 6.846830E-03 +1.038370E+00 6.658050E-03 +1.045950E+00 6.740000E-03 +1.047890E+00 6.700240E-03 +1.046120E+00 7.139130E-03 +1.046120E+00 0.000000E+00 +1.046120E+00 0.000000E+00 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+9.903810E-01 6.327560E-03 +9.933550E-01 6.414980E-03 +9.995440E-01 6.319770E-03 +1.000870E+00 6.265470E-03 +1.001780E+00 6.075210E-03 +1.001330E+00 6.016990E-03 +1.009450E+00 8.346260E-03 +1.012750E+00 6.188120E-03 +1.001190E+00 5.812190E-03 +1.000970E+00 6.011130E-03 +1.010700E+00 6.086940E-03 +1.001520E+00 6.234100E-03 +1.012440E+00 6.642300E-03 +1.007940E+00 7.033850E-03 +1.012670E+00 7.492060E-03 +1.010270E+00 7.869500E-03 +1.015160E+00 9.530540E-03 +1.010500E+00 1.012220E-02 +1.015520E+00 1.043410E-02 +1.016100E+00 1.081730E-02 +1.019000E+00 1.194640E-02 +1.019000E+00 0.000000E+00 +1.019000E+00 0.000000E+00 +9.852720E-01 6.675340E-03 +9.914110E-01 6.675910E-03 +9.903590E-01 6.722660E-03 +9.838180E-01 6.621800E-03 +9.886250E-01 6.581650E-03 +9.865810E-01 6.656750E-03 +9.860240E-01 6.503970E-03 +9.850590E-01 6.598620E-03 +1.002100E+00 6.529290E-03 +9.815170E-01 9.193870E-03 +1.004690E+00 6.932750E-03 +9.900910E-01 7.196690E-03 +9.936290E-01 7.086220E-03 +9.882940E-01 7.443580E-03 +9.925320E-01 8.303360E-03 +9.894240E-01 9.289670E-03 +9.953720E-01 1.207210E-02 +9.941300E-01 1.352740E-02 +9.920120E-01 1.472390E-02 +9.967150E-01 1.712080E-02 +9.923240E-01 1.890230E-02 +9.923240E-01 0.000000E+00 +9.923240E-01 0.000000E+00 +9.923240E-01 0.000000E+00 +9.916230E-01 7.143890E-03 +9.906040E-01 7.240540E-03 +9.881230E-01 7.306880E-03 +9.850320E-01 7.315380E-03 +9.808700E-01 7.252470E-03 +9.876640E-01 7.509830E-03 +9.898160E-01 7.620350E-03 +9.713980E-01 7.977830E-03 +9.717150E-01 8.319410E-03 +9.849990E-01 9.140160E-03 +9.892740E-01 1.049900E-02 +9.680700E-01 1.367410E-02 +9.694900E-01 1.481510E-02 +9.784140E-01 1.652660E-02 +9.870360E-01 2.405530E-02 +9.844830E-01 2.836880E-02 +9.844830E-01 0.000000E+00 +9.844830E-01 0.000000E+00 +9.844830E-01 0.000000E+00 diff --git a/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat index c2cabb4ac3..eac8f32dc9 100644 --- a/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat +++ b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat @@ -25,6 +25,7 @@ NRM LHCBWZMU8TEV LHCBWZMU8TEV NRM LHCBWZMU7TEV_PI LHCBWZMU7TEV NRM LHCBWZMU8TEV_PI LHCBWZMU8TEV QCD ATLAS1JET11 ATLAS1JET11 +QCD ATLAS1JET11_SF ATLAS1JET11_SF QCD ATLASLOMASSDY11 ATLASLOMASSDY11 QCD ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT QCD ATLASR04JETS2P76TEV ATLASR04JETS2P76TEV @@ -64,6 +65,7 @@ QCD CDFZRAP CDFZRAP QCD CMSDY2D11 CMSDY2D11 QCD CMSDY2D12 CMSDY2D12 QCD CMSJETS11 CMSJETS11 +QCD CMSJETS11_SF CMSJETS11_SF QCD CMSTOPDIFF8TEVTPT CMSTOPDIFF8TEVTPT QCD CMSTOPDIFF8TEVTRAP CMSTOPDIFF8TEVTRAP QCD CMSTOPDIFF8TEVTTM CMSTOPDIFF8TEVTTM diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-00-05.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-00-05.dat new file mode 100644 index 0000000000..8e6751554b --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-00-05.dat @@ -0,0 +1,40 @@ +******************************************************************************************* +SetName = ATLAS1JET11_SF +APPLgridName = ATLAS1JET11-R06-y-00-05.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.29 -6.34 5.39e+03 +1 2.34 -6.55 2.5e+03 +2 2.49 -6.78 1.22e+03 +3 2.53 -6.94 617 +4 2.59 -7.1 314 +5 2.75 -7.31 166 +6 2.71 -7.36 90.3 +7 2.93 -7.61 50.7 +8 2.9 -7.66 29 +9 2.95 -7.76 16.6 +10 3.1 -7.94 9.74 +11 3.19 -8.07 5.82 +12 3.28 -8.2 3.48 +13 3.34 -8.31 2.08 +14 3.39 -8.39 1.25 +15 3.57 -8.61 0.752 +16 3.45 -8.56 0.45 +17 3.71 -8.83 0.273 +18 3.73 -8.92 0.165 +19 3.88 -9.11 0.1 +20 4.01 -9.31 0.0609 +21 4.05 -9.42 0.0369 +22 4.14 -9.59 0.0224 +23 4.34 -9.85 0.0135 +24 4.53 -10 0.008 +25 4.49 -10.1 0.00471 +26 5.01 -10.4 0.00277 +27 5.33 -10.7 0.00148 +28 5.94 -11.1 0.000588 +29 6.68 -11.7 0.000142 +30 8.07 -12.7 1.35e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-05-10.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-05-10.dat new file mode 100644 index 0000000000..3c6fc351cb --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-05-10.dat @@ -0,0 +1,38 @@ +******************************************************************************************* +SetName = ATLAS1JET11_SF +APPLgridName = ATLAS1JET11-R06-y-05-10.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.36 -6.44 5.02e+03 +1 2.34 -6.59 2.31e+03 +2 2.58 -6.89 1.12e+03 +3 2.53 -6.98 564 +4 2.65 -7.17 286 +5 2.65 -7.27 150 +6 2.84 -7.49 81.5 +7 2.81 -7.55 45.1 +8 2.94 -7.73 25.8 +9 3.1 -7.92 14.7 +10 2.99 -7.91 8.52 +11 3.26 -8.19 5.09 +12 3.13 -8.15 2.99 +13 3.29 -8.35 1.78 +14 3.4 -8.52 1.06 +15 3.51 -8.68 0.628 +16 3.44 -8.7 0.371 +17 3.62 -8.93 0.221 +18 3.68 -9.06 0.131 +19 3.85 -9.3 0.0781 +20 3.71 -9.27 0.0458 +21 3.93 -9.56 0.0272 +22 3.91 -9.65 0.0159 +23 3.94 -9.77 0.0092 +24 4.06 -10 0.00524 +25 4.32 -10.3 0.00298 +26 4.28 -10.4 0.00117 +27 4.81 -10.9 0.000291 +28 5.57 -11.6 2.15e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-10-15.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-10-15.dat new file mode 100644 index 0000000000..4e953023cb --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-10-15.dat @@ -0,0 +1,35 @@ +******************************************************************************************* +SetName = ATLAS1JET11_SF +APPLgridName = ATLAS1JET11-R06-y-10-15.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.47 -6.61 4.34e+03 +1 2.26 -6.63 1.96e+03 +2 2.39 -6.85 936 +3 2.73 -7.2 472 +4 2.75 -7.32 236 +5 2.73 -7.43 122 +6 2.86 -7.61 65.3 +7 3.04 -7.84 35.9 +8 2.93 -7.86 20.1 +9 3.02 -8.01 11.2 +10 3.14 -8.22 6.42 +11 2.99 -8.19 3.69 +12 3.18 -8.43 2.14 +13 3.19 -8.54 1.23 +14 3.19 -8.66 0.7 +15 3.09 -8.68 0.396 +16 3.26 -8.93 0.225 +17 3.17 -8.97 0.126 +18 3.13 -9.04 0.0698 +19 3.22 -9.23 0.0386 +20 3.08 -9.23 0.0209 +21 3.12 -9.38 0.0113 +22 3.28 -9.64 0.00603 +23 3.2 -9.67 0.0031 +24 3.1 -9.75 0.00114 +25 3.08 -10 4.32e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-15-20.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-15-20.dat new file mode 100644 index 0000000000..ab73244c3c --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-15-20.dat @@ -0,0 +1,32 @@ +******************************************************************************************* +SetName = ATLAS1JET11_SF +APPLgridName = ATLAS1JET11-R06-y-15-20.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.13 -6.53 3.38e+03 +1 2.65 -7.02 1.54e+03 +2 2.56 -7.11 714 +3 2.6 -7.26 349 +4 2.52 -7.34 170 +5 2.83 -7.7 86.3 +6 2.84 -7.84 44.7 +7 2.6 -7.8 23.4 +8 2.86 -8.13 12.7 +9 2.71 -8.15 6.72 +10 2.63 -8.24 3.6 +11 2.61 -8.35 1.95 +12 2.72 -8.59 1.04 +13 2.23 -8.33 0.539 +14 2.35 -8.56 0.279 +15 2.2 -8.56 0.14 +16 2.22 -8.71 0.0695 +17 1.91 -8.49 0.0331 +18 1.99 -8.66 0.0156 +19 1.77 -8.41 0.00704 +20 1.83 -8.58 0.00313 +21 1.54 -8.35 0.00067 +22 0.905 -8.07 5.71e-06 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-20-25.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-20-25.dat new file mode 100644 index 0000000000..2cb9a78e1d --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-20-25.dat @@ -0,0 +1,28 @@ +******************************************************************************************* +SetName = ATLAS1JET11_SF +APPLgridName = ATLAS1JET11-R06-y-20-25.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.32 -6.86 2.4e+03 +1 2.43 -7.11 1.04e+03 +2 2.47 -7.34 467 +3 2.3 -7.41 216 +4 2.25 -7.56 99.3 +5 2.17 -7.71 46.3 +6 2.24 -7.94 22.1 +7 1.46 -7.47 10.3 +8 1.71 -7.92 4.98 +9 1.67 -7.95 2.3 +10 1.64 -7.92 1.05 +11 1.49 -7.8 0.474 +12 1.29 -7.56 0.205 +13 1.34 -7.73 0.0857 +14 0.24 -6.7 0.0324 +15 0.655 -7.13 0.0125 +16 0.185 -7.17 0.00436 +17 0 -9.64 0.000892 +18 0 -15.6 2.36e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-25-30.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-25-30.dat new file mode 100644 index 0000000000..f7621819a0 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-25-30.dat @@ -0,0 +1,21 @@ +******************************************************************************************* +SetName = ATLAS1JET11_SF +APPLgridName = ATLAS1JET11-R06-y-25-30.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.2 -7.21 1.41e+03 +1 1.84 -7.25 552 +2 1.67 -7.41 221 +3 1.44 -7.41 89.4 +4 1.44 -7.32 34.4 +5 1.31 -7.19 13 +6 0.959 -6.68 4.83 +7 0.985 -6.95 1.79 +8 0.465 -6.79 0.623 +9 0 -8.7 0.202 +10 0 -12.1 0.0384 +11 0.612 -18.7 0.00166 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-1.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-1.dat new file mode 100644 index 0000000000..e7b77db29e --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-1.dat @@ -0,0 +1,20 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta1.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.28 -5.68 1.77e+03 +1 1.18 -4.69 246 +2 0.92 -4.77 40 +3 0.561 -5.12 8.69 +4 0.437 -5.77 1.64 +5 0.56 -6.52 0.224 +6 0.808 -7.28 0.0282 +7 1.28 -7.95 0.00547 +8 1.93 -8.58 0.00136 +9 2.58 -9.3 0.000279 +10 3.54 -10.5 3.61e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-2.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-2.dat new file mode 100644 index 0000000000..0c6c33a937 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-2.dat @@ -0,0 +1,20 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta2.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.12 -8.39 1.66e+03 +1 1.22 -5.43 235 +2 0.947 -5.37 38 +3 0.621 -5.45 8.19 +4 0.318 -5.54 1.53 +5 0.463 -6.35 0.207 +6 0.771 -7.24 0.0257 +7 1.18 -7.97 0.00487 +8 1.84 -8.64 0.00117 +9 2.4 -9.34 0.000229 +10 3.18 -10.4 2.67e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-3.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-3.dat new file mode 100644 index 0000000000..92cf754ba5 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-3.dat @@ -0,0 +1,19 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta3.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.28 -7.28 1.57e+03 +1 1.22 -5.03 217 +2 0.9 -5.16 34.4 +3 0.544 -5.19 7.26 +4 0.393 -5.88 1.33 +5 0.635 -6.74 0.175 +6 1 -7.67 0.0204 +7 1.27 -8.27 0.00353 +8 1.63 -8.86 0.000758 +9 1.95 -9.43 0.000125 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-4.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-4.dat new file mode 100644 index 0000000000..e75da04c5a --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-4.dat @@ -0,0 +1,19 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta4.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.48 -8.23 1.29e+03 +1 1.35 -5.96 169 +2 0.968 -6.05 25.7 +3 0.514 -5.71 5.17 +4 0.464 -6.15 0.883 +5 0.644 -6.89 0.0999 +6 0.826 -7.64 0.00875 +7 0.915 -8.09 0.00108 +8 0.976 -8.45 0.000161 +9 0.755 -8.42 1.68e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-5.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-5.dat new file mode 100644 index 0000000000..d71846c9a7 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-5.dat @@ -0,0 +1,17 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta5.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.52 -6.37 881 +1 1.15 -5.49 104 +2 0.577 -5.44 13.7 +3 0.544 -6.37 2.24 +4 0.373 -8.12 0.266 +5 0 -10.9 0.0151 +6 0.133 -18.1 0.000346 +7 1.99 -29.9 7.18e-06 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-6.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-6.dat new file mode 100644 index 0000000000..5281d3f72d --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-6.dat @@ -0,0 +1,15 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta6.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.31 -6.16 465 +1 0.971 -7.49 41.4 +2 0.655 -11.5 3.22 +3 0.908 -17.5 0.267 +4 1.45 -23.8 0.0112 +5 6.56 -50.1 7.55e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-7.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-7.dat new file mode 100644 index 0000000000..7b727f5f80 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-7.dat @@ -0,0 +1,12 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta7.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.44 -11.9 101 +1 2.21 -25.3 3.04 +2 8.87 -55.8 0.0304 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-1.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-1.dat new file mode 100644 index 0000000000..4ee653e1b7 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-1.dat @@ -0,0 +1,25 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta1.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.18 -5.49 5.97e+06 +1 0.713 -5.74 9.55e+05 +2 0.857 -4.62 1.83e+05 +3 0.843 -3.46 4.61e+04 +4 0.756 -3.33 1.03e+04 +5 0.561 -3.81 1.75e+03 +6 0.306 -4.37 291 +7 0.388 -4.93 72.9 +8 0.393 -5.15 23.1 +9 0.527 -5.64 6.56 +10 0.642 -5.99 1.44 +11 1.07 -6.58 0.374 +12 1.5 -7.06 0.0776 +13 2.31 -8 0.0107 +14 2.89 -8.81 0.00186 +15 3.51 -9.75 0.000276 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-2.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-2.dat new file mode 100644 index 0000000000..ef40df96c7 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-2.dat @@ -0,0 +1,25 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta2.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.7 -8.15 5.65e+06 +1 0.576 -6.59 9.22e+05 +2 0.87 -4.82 1.78e+05 +3 0.912 -3.97 4.42e+04 +4 0.811 -3.76 9.77e+03 +5 0.572 -3.77 1.67e+03 +6 0.31 -4.27 274 +7 0.266 -4.66 67.8 +8 0.357 -5.13 21.5 +9 0.488 -5.56 6.06 +10 0.632 -6 1.31 +11 0.941 -6.55 0.334 +12 1.41 -7.08 0.0674 +13 2.08 -7.94 0.00869 +14 2.63 -8.76 0.00138 +15 3.09 -9.57 0.000181 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-3.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-3.dat new file mode 100644 index 0000000000..38641251aa --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-3.dat @@ -0,0 +1,25 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta3.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.28 -8.07 5.39e+06 +1 0.655 -6.97 8.64e+05 +2 0.956 -4.26 1.68e+05 +3 0.898 -4.22 4.06e+04 +4 0.82 -3.67 8.95e+03 +5 0.569 -3.93 1.49e+03 +6 0.344 -4.68 243 +7 0.359 -4.99 59 +8 0.438 -5.31 18.3 +9 0.641 -5.88 5.03 +10 0.854 -6.42 1.05 +11 0.97 -6.71 0.247 +12 1.34 -7.31 0.045 +13 1.58 -7.89 0.0046 +14 1.93 -8.56 0.000545 +15 2.12 -9.06 4.76e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-4.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-4.dat new file mode 100644 index 0000000000..1420becab2 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-4.dat @@ -0,0 +1,24 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta4.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 0.187 -9.57 4.67e+06 +1 0.693 -6.97 7.45e+05 +2 0.99 -5.92 1.35e+05 +3 1.02 -4.46 3.26e+04 +4 0.855 -4.09 6.99e+03 +5 0.551 -4.09 1.11e+03 +6 0.287 -4.61 169 +7 0.438 -5.23 38.7 +8 0.54 -5.61 11.1 +9 0.643 -5.98 2.7 +10 0.746 -6.38 0.453 +11 0.757 -6.61 0.0828 +12 0.85 -6.97 0.0107 +13 0.845 -7.29 0.000596 +14 0.714 -7.49 3.56e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-5.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-5.dat new file mode 100644 index 0000000000..29cfbc260d --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-5.dat @@ -0,0 +1,21 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta5.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 0.176 -9.5 3.6e+06 +1 0.821 -6.79 5.4e+05 +2 1.06 -4.62 9.38e+04 +3 0.932 -4.1 2.1e+04 +4 0.629 -4.05 4.19e+03 +5 0.393 -4.45 576 +6 0.492 -5.18 68.7 +7 0.357 -5.81 11.2 +8 0.0585 -7.23 2.17 +9 0 -9.08 0.307 +10 0 -12.4 0.0195 +11 0.779 -18.3 0.000959 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-6.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-6.dat new file mode 100644 index 0000000000..9f7e0871df --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-6.dat @@ -0,0 +1,18 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta6.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 0.533 -8.11 2.47e+06 +1 1 -5.68 3.38e+05 +2 0.96 -4.3 5.17e+04 +3 0.646 -3.96 1.03e+04 +4 0.482 -5.45 1.56e+03 +5 0.358 -7.65 137 +6 0.537 -12.3 6.96 +7 1.33 -18.7 0.416 +8 3.4 -28.9 0.0232 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-7.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-7.dat new file mode 100644 index 0000000000..117313cac4 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-7.dat @@ -0,0 +1,15 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta7.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) 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b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-00-05.dat new file mode 100644 index 0000000000..bbc96db3a7 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-00-05.dat @@ -0,0 +1,28 @@ +******************************************************************************************* +SetName = CMS1JET276TEV +APPLgridName = CMS1JET276TEV-R07_y_00-05.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.52 -8.14 4.54e+03 +1 3.32 -8.8 2.16e+03 +2 3.17 -8.83 891 +3 3.7 -9.33 353 +4 3.85 -9.57 143 +5 3.97 -9.76 61.6 +6 4.49 -10.3 28.1 +7 4.65 -10.5 12.9 +8 4.85 -10.7 6.05 +9 4.85 -10.9 2.85 +10 5.15 -11.2 1.37 +11 5.46 -11.6 0.664 +12 5.58 -11.9 0.316 +13 6.19 -12.2 0.151 +14 7.01 -12.7 0.0725 +15 7.76 -13.2 0.0337 +16 7.27 -13.2 0.0149 +17 8.51 -13.8 0.00667 +18 9.3 -14.3 0.00285 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-05-10.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-05-10.dat new file mode 100644 index 0000000000..cb9b8d9889 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-05-10.dat @@ -0,0 +1,27 @@ +******************************************************************************************* +SetName = CMS1JET276TEV +APPLgridName = CMS1JET276TEV-R07_y_05-10.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.24 -8.01 4.09e+03 +1 3.04 -8.68 1.93e+03 +2 3.23 -8.93 796 +3 3.67 -9.38 311 +4 3.65 -9.51 124 +5 4.21 -10 53.5 +6 4.34 -10.3 23.7 +7 4.52 -10.5 10.7 +8 4.75 -10.9 4.91 +9 4.73 -11 2.24 +10 5.15 -11.5 1.05 +11 5.27 -11.8 0.483 +12 5.21 -11.9 0.217 +13 5.86 -12.4 0.0983 +14 5.48 -12.4 0.0429 +15 6.67 -13.1 0.0185 +16 6.71 -13.3 0.00748 +17 7.28 -13.7 0.00297 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-10-15.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-10-15.dat new file mode 100644 index 0000000000..9fe37de0bb --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-10-15.dat @@ -0,0 +1,25 @@ +******************************************************************************************* +SetName = CMS1JET276TEV +APPLgridName = CMS1JET276TEV-R07_y_10-15.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.09 -8.68 3.42e+03 +1 2.67 -8.54 1.54e+03 +2 3.08 -8.98 624 +3 3.63 -9.53 238 +4 3.66 -9.76 92 +5 3.9 -10.1 37.5 +6 4 -10.4 15.7 +7 4.17 -10.7 6.65 +8 4.38 -11.1 2.8 +9 4.22 -11.2 1.16 +10 4.16 -11.3 0.474 +11 4.31 -11.6 0.191 +12 4.39 -11.9 0.0735 +13 4.28 -12 0.0271 +14 4.59 -12.5 0.00978 +15 4.67 -12.8 0.00325 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-15-20.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-15-20.dat new file mode 100644 index 0000000000..bcac356e18 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-15-20.dat @@ -0,0 +1,22 @@ +******************************************************************************************* +SetName = CMS1JET276TEV +APPLgridName = CMS1JET276TEV-R07_y_15-20.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.99 -8.86 2.44e+03 +1 2.25 -8.59 1.05e+03 +2 3.25 -9.47 411 +3 2.97 -9.54 141 +4 3.56 -10.3 50.1 +5 3.01 -10.1 17.5 +6 3.05 -10.4 6.29 +7 3.04 -10.6 2.19 +8 2.77 -10.7 0.728 +9 2.15 -10.1 0.227 +10 2.59 -10.7 0.0694 +11 2.61 -10.9 0.0197 +12 1.81 -10.1 0.0048 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-20-25.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-20-25.dat new file mode 100644 index 0000000000..c55b612860 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-20-25.dat @@ -0,0 +1,18 @@ +******************************************************************************************* +SetName = CMS1JET276TEV +APPLgridName = CMS1JET276TEV-R07_y_20-25.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.69 -8.58 1.34e+03 +1 1.76 -8.89 533 +2 1.62 -9.02 173 +3 1.66 -9.07 47.5 +4 1.75 -9.4 12.5 +5 1.27 -8.97 3.09 +6 1.28 -9.18 0.746 +7 0.353 -8.99 0.157 +8 0 -11.2 0.029 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-25-30.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-25-30.dat new file mode 100644 index 0000000000..720a787b08 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-25-30.dat @@ -0,0 +1,15 @@ +******************************************************************************************* +SetName = CMS1JET276TEV +APPLgridName = CMS1JET276TEV-R07_y_25-30.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.29 -8.48 415 +1 0.906 -8.11 123 +2 0.349 -9.63 26.1 +3 0.0444 -11.1 4.12 +4 0 -17.1 0.502 +5 1.82 -30.7 0.044 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-00_05.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-00_05.dat new file mode 100644 index 0000000000..4abcad7f64 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-00_05.dat @@ -0,0 +1,42 @@ +******************************************************************************************* +SetName = CMSJETS11 +APPLgridName = CMSJETS2011-R07-y_00_05.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.87 -7.46 2.8e+03 +1 3.77 -7.59 1.27e+03 +2 3.81 -7.79 611 +3 3.81 -7.92 307 +4 3.92 -8.12 159 +5 4 -8.29 84.3 +6 3.92 -8.34 45.3 +7 4.02 -8.51 24.9 +8 4.21 -8.73 14 +9 4 -8.66 7.83 +10 4.2 -8.88 4.5 +11 4.27 -9.01 2.62 +12 4.2 -9.03 1.51 +13 4.3 -9.19 0.881 +14 4.49 -9.41 0.522 +15 4.53 -9.52 0.308 +16 4.52 -9.58 0.181 +17 4.67 -9.74 0.107 +18 5.01 -9.97 0.0633 +19 5.17 -10.1 0.0372 +20 5.25 -10.2 0.0218 +21 5.56 -10.5 0.0127 +22 5.69 -10.6 0.00731 +23 6.3 -11 0.00421 +24 6.41 -11.1 0.00236 +25 6.56 -11.3 0.0013 +26 7.07 -11.6 0.000715 +27 7.4 -11.9 0.00038 +28 7.72 -12.2 0.000198 +29 8.34 -12.6 0.000101 +30 8.51 -12.8 4.9e-05 +31 9.3 -13.3 1.67e-05 +32 10.4 -14 2.29e-06 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-05_10.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-05_10.dat new file mode 100644 index 0000000000..603dd39a9e --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-05_10.dat @@ -0,0 +1,39 @@ +******************************************************************************************* +SetName = CMSJETS11 +APPLgridName = CMSJETS2011-R07-y_05_10.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.77 -7.46 2.58e+03 +1 3.89 -7.72 1.17e+03 +2 3.71 -7.76 557 +3 3.9 -8.02 280 +4 3.9 -8.15 144 +5 3.98 -8.31 75.6 +6 3.96 -8.41 40.5 +7 4.02 -8.55 22.1 +8 4.06 -8.67 12.3 +9 4.13 -8.82 6.88 +10 4.18 -8.95 3.9 +11 4.24 -9.08 2.25 +12 4.25 -9.18 1.29 +13 4.36 -9.36 0.741 +14 4.3 -9.39 0.429 +15 4.36 -9.54 0.249 +16 4.5 -9.76 0.144 +17 4.51 -9.84 0.083 +18 4.81 -10.1 0.0479 +19 4.59 -10.1 0.0271 +20 5.06 -10.4 0.0155 +21 4.99 -10.4 0.00862 +22 5.42 -10.7 0.00478 +23 5.39 -10.8 0.00258 +24 5.57 -11 0.00137 +25 5.99 -11.3 0.000714 +26 6.16 -11.5 0.000361 +27 6.27 -11.7 0.000176 +28 6.78 -12 8.39e-05 +29 7.01 -12.4 1.53e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-10_15.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-10_15.dat new file mode 100644 index 0000000000..fd5e114a88 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-10_15.dat @@ -0,0 +1,36 @@ +******************************************************************************************* +SetName = CMSJETS11 +APPLgridName = CMSJETS2011-R07-y_10_15.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.73 -7.53 2.2e+03 +1 3.76 -7.72 981 +2 3.97 -8.02 466 +3 3.88 -8.1 230 +4 3.89 -8.24 116 +5 4.01 -8.46 60.5 +6 3.96 -8.54 31.9 +7 4.01 -8.7 17.1 +8 4.06 -8.85 9.32 +9 4.04 -8.94 5.09 +10 4.04 -9.08 2.8 +11 4.13 -9.25 1.57 +12 4.08 -9.34 0.863 +13 4.05 -9.44 0.475 +14 3.95 -9.5 0.262 +15 3.99 -9.65 0.143 +16 3.87 -9.67 0.0771 +17 3.82 -9.76 0.0412 +18 4.09 -10.1 0.022 +19 3.95 -10.1 0.0113 +20 3.87 -10.2 0.00575 +21 3.84 -10.3 0.00284 +22 3.82 -10.4 0.00136 +23 3.82 -10.5 0.000634 +24 3.73 -10.6 0.000282 +25 3.86 -10.9 0.000122 +26 3.67 -10.9 1.18e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-15_20.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-15_20.dat new file mode 100644 index 0000000000..b570bf45cf --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-15_20.dat @@ -0,0 +1,33 @@ +******************************************************************************************* +SetName = CMSJETS11 +APPLgridName = CMSJETS2011-R07-y_15_20.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.75 -7.68 1.7e+03 +1 3.78 -7.89 745 +2 4.02 -8.22 347 +3 3.85 -8.27 166 +4 3.78 -8.39 81.7 +5 3.81 -8.57 40.9 +6 3.76 -8.7 20.7 +7 3.66 -8.78 10.6 +8 3.58 -8.88 5.42 +9 3.66 -9.12 2.78 +10 3.4 -9.07 1.41 +11 3.36 -9.19 0.716 +12 3.29 -9.3 0.356 +13 3.29 -9.45 0.174 +14 2.66 -9.08 0.0823 +15 2.75 -9.27 0.0388 +16 2.77 -9.45 0.0176 +17 2.56 -9.38 0.00774 +18 2.27 -9.17 0.00325 +19 2.37 -9.36 0.00132 +20 1.95 -8.91 0.0005 +21 2.11 -9.24 0.000183 +22 1.95 -9.21 6.04e-05 +23 0.957 -8.44 5.41e-06 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-20_25.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-20_25.dat new file mode 100644 index 0000000000..572ce947ab --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-20_25.dat @@ -0,0 +1,28 @@ +******************************************************************************************* +SetName = CMSJETS11 +APPLgridName = CMSJETS2011-R07-y_20_25.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.81 -7.98 1.17e+03 +1 3.52 -8.04 485 +2 3.4 -8.17 212 +3 3.55 -8.48 96.3 +4 3.41 -8.63 43.8 +5 2.96 -8.51 19.7 +6 3.06 -8.8 8.98 +7 2.65 -8.7 3.98 +8 2.39 -8.71 1.75 +9 2.14 -8.69 0.743 +10 1.95 -8.55 0.307 +11 1.98 -8.66 0.125 +12 1.76 -8.44 0.0471 +13 1.11 -7.64 0.0165 +14 1.17 -7.95 0.00576 +15 0.351 -7.07 0.00177 +16 0 -8.79 0.000492 +17 0 -11.6 0.000119 +18 0 -17.6 6.03e-06 diff --git a/nnpdfcpp/data/commondata/31systematics/process_jets.sh b/nnpdfcpp/data/commondata/31systematics/process_jets.sh index 4869414f42..64ce1ff37c 100755 --- a/nnpdfcpp/data/commondata/31systematics/process_jets.sh +++ b/nnpdfcpp/data/commondata/31systematics/process_jets.sh @@ -1,7 +1,7 @@ #!/bin/bash # This script takes scale variation errors for jet data and appends them to datafiles as an additional systematic -SETS=(ATLAS1JET11 ATLASR04JETS2P76TEV ATLASR04JETS36PB CMS1JET276TEV CMSJETS11 CDFR2KT ATLAS1JET11_SF) +SETS=(ATLAS1JET11 ATLASR04JETS2P76TEV ATLASR04JETS36PB CMS1JET276TEV CMSJETS11 CDFR2KT ATLAS1JET11_SF ATLASR04JETS2P76TEV_SF ATLASR04JETS36PB_SF CMS1JET276TEV_SF CMSJETS11_SF CDFR2KT_SF) DIRECTORY=. for s in "${SETS[@]}"; do diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat index 23c65bc55b..308818a162 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat @@ -1,141 +1,141 @@ -ATLAS1JET11 404 140 - 1 JET 2.500000000000e-01 1.166400000000e+04 7.000000000000e+03 5.344908800000e+03 4.855532411012e+01 6.992744183040e+01 1.308300000000e+00 0.000000000000e+00 0.000000000000e+00 2.242189241600e+01 4.195000000000e-01 2.773473176320e+01 5.189000000000e-01 3.138637345536e+02 5.872200000000e+00 1.615177990272e+02 3.021900000000e+00 2.447968230400e+00 4.580000000000e-02 2.357104780800e+00 4.410000000000e-02 4.382825216000e+00 8.200000000000e-02 4.185063590400e+00 7.830000000000e-02 6.376476198400e+00 1.193000000000e-01 1.494970991360e+01 2.797000000000e-01 2.291896893440e+01 4.288000000000e-01 2.924734095360e+01 5.472000000000e-01 1.484815664640e+01 2.778000000000e-01 -2.886250752000e-01 -5.400000000000e-03 -9.353590400000e-01 -1.750000000000e-02 8.605303168000e-01 1.610000000000e-02 1.443125376000e+00 2.700000000000e-02 4.917316096000e+00 9.200000000000e-02 3.217635097600e+00 6.020000000000e-02 3.377982361600e+00 6.320000000000e-02 -2.832801664000e-01 -5.300000000000e-03 -4.329376128000e-01 -8.100000000000e-03 -6.948381440000e-02 -1.300000000000e-03 1.068981760000e-02 2.000000000000e-04 5.344908800000e-03 1.000000000000e-04 1.068981760000e-02 2.000000000000e-04 5.344908800000e-03 1.000000000000e-04 3.206945280000e-02 6.000000000000e-04 8.017363200000e-02 1.500000000000e-03 -2.137963520000e-02 -4.000000000000e-04 -5.344908800000e-03 -1.000000000000e-04 -0.000000000000e+00 -0.000000000000e+00 -1.603472640000e-02 -3.000000000000e-04 5.344908800000e-03 1.000000000000e-04 5.344908800000e-03 1.000000000000e-04 -0.000000000000e+00 -0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -2.832801664000e-01 -5.300000000000e-03 -5.451806976000e-01 -1.020000000000e-02 -1.496574464000e-01 -2.800000000000e-03 -2.832801664000e-01 -5.300000000000e-03 -1.068981760000e-01 -2.000000000000e-03 -3.206945280000e-01 -6.000000000000e-03 -2.672454400000e-01 -5.000000000000e-03 -4.650070656000e-01 -8.700000000000e-03 3.893766060800e+01 7.285000000000e-01 1.803372229120e+01 3.374000000000e-01 5.403702796800e+00 1.011000000000e-01 2.651074764800e+01 4.960000000000e-01 3.916214677760e+01 7.327000000000e-01 5.972401093120e+01 1.117400000000e+00 -7.000761546240e+01 -1.309800000000e+00 -4.761779249920e+01 -8.909000000000e-01 -1.433504540160e+02 -2.682000000000e+00 0.000000000000e+00 0.000000000000e+00 5.201130753280e+01 9.731000000000e-01 2.506762227200e+00 4.690000000000e-02 2.178050336000e+01 4.075000000000e-01 1.009599823232e+02 1.888900000000e+00 -1.389676288000e+00 -2.600000000000e-02 4.671450291200e+00 8.740000000000e-02 1.636397278208e+02 3.061600000000e+00 2.677799308800e+00 5.010000000000e-02 7.942534476800e+00 1.486000000000e-01 2.672454400000e+01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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a/nnpdfcpp/data/commondata/DATA_ATLASR04JETS2P76TEV_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASR04JETS2P76TEV_SF.dat index 794d1435a5..b6d2afeda2 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLASR04JETS2P76TEV_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLASR04JETS2P76TEV_SF.dat @@ -1,60 +1,60 @@ -ATLASR04JETS2P76TEV 90 59 - 1 JET 1.500000000000e-01 6.250000000000e+02 2.760000000000e+03 1.486363636364e+03 2.526818181818e+01 4.013181818182e+01 2.700000000000e+00 1.593446193276e+02 1.072043310461e+01 1.486363636364e+01 1.000000000000e+00 7.431818181818e+00 5.000000000000e-01 1.717184272109e+02 1.155292170838e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.648457017089e+02 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.335235170054e-02 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.387000000000e-01 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.194741289987e-01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.503923051381e-01 4.550549417378e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.266833329082e-02 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.471837697819e-01 4.508880127038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.540000000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.080000000000e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 7.700000000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 5 JET 1.500000000000e-01 9.025000000000e+03 2.760000000000e+03 1.420618556701e+00 2.415051546392e-02 3.835670103093e-02 2.700000000000e+00 7.322776065469e-02 5.154639175258e+00 1.420618556701e-02 1.000000000000e+00 7.103092783505e-03 5.000000000000e-01 6.471225501062e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.117400256722e-01 7.865589615534e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.187034385229e-02 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.477677467784e-02 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.197969828088e-02 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.976222203269e-02 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.222484974576e-02 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.398136259113e-02 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.575542196478e-02 1.109053650641e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551546391753e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841237113402e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.846804123711e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 1.420618556701e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 6 JET 1.500000000000e-01 1.822500000000e+04 2.760000000000e+03 2.027551020408e-01 6.488163265306e-03 5.474387755102e-03 2.700000000000e+00 8.275718450646e-03 4.081632653061e+00 2.027551020408e-03 1.000000000000e+00 1.013775510204e-03 5.000000000000e-01 1.755910691143e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.145656037665e-02 5.650442460551e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.912646120462e-03 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.507416643181e-03 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.419285714286e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.494496271465e-03 3.203123475609e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.027551020408e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.176329117656e-02 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660838679533e-03 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.362312988998e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.362312988998e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.054813632386e-03 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.082653061224e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.635816326531e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.027551020408e-04 1.000000000000e-01 2.027551020408e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 7 JET 1.500000000000e-01 3.422500000000e+04 2.760000000000e+03 2.577777777778e-02 2.216888888889e-03 6.960000000000e-04 2.700000000000e+00 7.811447811448e-04 3.030303030303e+00 2.577777777778e-04 1.000000000000e+00 1.288888888889e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.148413742280e-03 4.455053310568e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.227831572477e-03 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.991111111111e-04 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.970043022509e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.741921157560e-04 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.941906915672e-04 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830585253511e-03 7.101408311032e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.348927527365e-04 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.733333333333e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.733333333333e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.469785505473e-03 5.701754116059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.546666666667e-04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.866666666667e-04 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.155555555556e-05 2.000000000000e-01 2.577777777778e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 8 JET 1.500000000000e-01 5.522500000000e+04 2.760000000000e+03 4.273737373737e-03 8.120101010101e-04 1.153909090909e-04 2.700000000000e+00 1.295071931436e-04 3.030303030303e+00 4.273737373737e-05 1.000000000000e+00 2.136868686869e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.500318995315e-04 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587200029359e-04 6.053717865907e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.004782832878e-04 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.485143253203e-05 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.261114654378e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.794318398503e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.931406902912e-04 6.859118019104e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.647884634825e-04 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.526029478847e-05 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.014348498633e-04 7.053190767305e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.564242424242e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 4.273737373737e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 9 JET 1.500000000000e-01 8.122500000000e+04 2.760000000000e+03 1.208080808081e-03 4.711515151515e-04 3.261818181818e-05 2.700000000000e+00 3.660850933578e-05 3.030303030303e+00 1.208080808081e-05 1.000000000000e+00 6.040404040404e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.951190311762e-05 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.835342491120e-05 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.301703073169e-05 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.295353535354e-05 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.332091859414e-05 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.248484848485e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.699859546391e-05 7.201388754956e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.677979797980e-05 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.125452789692e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.604622316354e-05 7.950314459190e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.248484848485e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.208080808081e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.208080808081e-06 1.000000000000e-01 1.208080808081e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 10 JET 1.500000000000e-01 1.260250000000e+05 2.760000000000e+03 4.315151515152e-04 1.984969696970e-04 1.165090909091e-05 2.700000000000e+00 1.307621671258e-05 3.030303030303e+00 4.315151515152e-06 1.000000000000e+00 2.157575757576e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.620768841126e-05 3.755995207665e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.035636363636e-05 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.541171638804e-06 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.037432785392e-05 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.493333333333e-06 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551555825602e-05 8.230431337421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.376469553180e-05 5.507267925206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.067702701430e-05 9.426558226628e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.589090909091e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.315151515152e-07 1.000000000000e-01 4.315151515152e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 11 JET 1.500000000000e-01 2.025000000000e+05 2.760000000000e+03 7.110101010101e-05 8.176616161616e-05 1.919727272727e-06 2.700000000000e+00 2.154576063667e-06 3.030303030303e+00 7.110101010101e-07 1.000000000000e+00 3.555050505051e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.821111111111e-07 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.977070707071e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.354935867537e-06 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.496647959744e-06 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635323232323e-06 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.977070707071e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.805206156588e-06 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.302986747707e-06 7.458384543586e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.064461864994e-07 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.192058321098e-06 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.555050505051e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.110101010101e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.133030303030e-07 3.000000000000e-01 7.110101010101e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 12 JET 5.500000000000e-01 6.250000000000e+02 2.760000000000e+03 1.481818181818e+03 2.074545454545e+01 4.000909090909e+01 2.700000000000e+00 1.706880678736e+02 1.151882666631e+01 1.481818181818e+01 1.000000000000e+00 7.409090909091e+00 5.000000000000e-01 1.687630880752e+02 1.138892005416e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.127253676525e+02 7.607233399864e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.603293719192e+02 1.081977356510e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024144354616e+02 6.911403620105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.157574167487e+01 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960261198652e+00 1.322875655532e-01 3.201378931978e+01 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.523366899269e+01 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.891251175846e+01 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.234864224506e+01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481818181818e+00 1.000000000000e-01 2.963636363636e+00 2.000000000000e-01 8.446363636364e+01 5.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.963636363636e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 13 JET 5.500000000000e-01 1.406250000000e+03 2.760000000000e+03 2.073626373626e+02 4.769340659341e+00 5.598791208791e+00 2.700000000000e+00 1.776078907435e+01 8.565086411055e+00 2.073626373626e+00 1.000000000000e+00 1.036813186813e+00 5.000000000000e-01 7.966612375408e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299762899736e+01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.306014272467e+01 6.298214032565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.831465270663e+01 8.832185460009e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.479944885800e+00 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.932550540877e-01 1.414213562373e-01 5.704357330871e+00 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.661474296427e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.876972146348e+00 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.795813117518e-01 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.167521881102e+00 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.147252747253e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.073626373626e-01 1.000000000000e-01 5.391428571429e+00 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.073626373626e-01 1.000000000000e-01 2.073626373626e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 14 JET 5.500000000000e-01 2.756250000000e+03 2.760000000000e+03 3.298924731183e+01 6.927741935484e-01 8.907096774194e-01 2.700000000000e+00 2.319303149286e+00 7.030482167001e+00 3.298924731183e-01 1.000000000000e+00 1.649462365591e-01 5.000000000000e-01 4.789125283920e-01 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.532394811183e+00 7.676424949154e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913945039698e+00 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.622521053795e+00 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608172043011e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364067216315e-02 1.322875655532e-01 9.896774193548e-01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.285295769230e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.502641203567e+00 4.554942370656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.298924731183e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.589883102233e-01 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.570857867131e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.597849462366e-02 2.000000000000e-01 3.298924731183e-02 1.000000000000e-01 1.979354838710e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.597849462366e-02 2.000000000000e-01 3.298924731183e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 15 JET 5.500000000000e-01 4.900000000000e+03 2.760000000000e+03 7.358947368421e+00 6.623052631579e-02 1.986915789474e-01 2.700000000000e+00 4.295509180959e-01 5.837124477058e+00 7.358947368421e-02 1.000000000000e+00 3.679473684211e-02 5.000000000000e-01 5.543686081088e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.562547368421e-01 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.569468780713e-01 4.850515436528e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.871875763387e-01 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839736842105e-01 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207684210526e-01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.478772093160e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.313161233843e-01 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943578947368e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.811536186467e-02 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.402067780556e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.471789473684e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.094842105263e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943578947368e-02 4.000000000000e-01 7.358947368421e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 16 JET 5.500000000000e-01 9.025000000000e+03 2.760000000000e+03 1.398969072165e+00 1.818659793814e-02 3.777216494845e-02 2.700000000000e+00 7.211180784355e-02 5.154639175258e+00 1.398969072165e-02 1.000000000000e+00 6.994845360825e-03 5.000000000000e-01 6.372607405618e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.822383026600e-02 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.018819547454e-02 4.302324952860e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.827456938232e-02 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.259072164948e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.196907216495e-02 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.611852801009e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.210800132131e-02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.611852801009e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.196907216495e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.946441422743e-02 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.797938144330e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.538865979381e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.398969072165e-03 1.000000000000e-01 1.398969072165e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 17 JET 5.500000000000e-01 1.822500000000e+04 2.760000000000e+03 1.897959183673e-01 4.934693877551e-03 5.124489795918e-03 2.700000000000e+00 7.746772178259e-03 4.081632653061e+00 1.897959183673e-03 1.000000000000e+00 9.489795918367e-04 5.000000000000e-01 1.643680868407e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.186907558435e-02 6.253598963797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.697271689494e-03 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.648277671823e-03 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.808048955248e-03 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.124489795918e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.518367346939e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.110387228853e-02 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.606122448980e-03 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.897959183673e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.897959183673e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129365457654e-02 5.950420153233e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.138775510204e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.518367346939e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.693877551020e-04 3.000000000000e-01 1.897959183673e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 18 JET 5.500000000000e-01 3.422500000000e+04 2.760000000000e+03 2.149494949495e-02 1.590626262626e-03 5.803636363636e-04 2.700000000000e+00 6.513621059076e-04 3.030303030303e+00 2.149494949495e-04 1.000000000000e+00 1.074747474747e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086452223165e-03 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.952717426083e-04 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.547758003034e-04 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.095337909452e-04 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.500145552795e-04 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.535046433933e-04 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.387173863589e-03 6.453487429290e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.357383415000e-04 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.149494949495e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.590916708399e-03 7.401351227985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.448484848485e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.448484848485e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.149494949495e-05 1.000000000000e-01 2.149494949495e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 19 JET 5.500000000000e-01 5.522500000000e+04 2.760000000000e+03 3.376767676768e-03 6.078181818182e-04 9.117272727273e-05 2.700000000000e+00 1.023262932354e-04 3.030303030303e+00 3.376767676768e-05 1.000000000000e+00 1.688383838384e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.743128555435e-04 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.354079627944e-04 4.009987531153e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.792573935578e-05 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.129770708092e-05 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.304034035002e-05 2.459166525472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207848358827e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.548732704590e-04 7.547847375245e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.335745322679e-04 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.599735694019e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.105295457711e-04 9.196058938480e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.376767676768e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.363737373737e-05 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.753535353535e-06 2.000000000000e-01 3.376767676768e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 20 JET 5.500000000000e-01 8.122500000000e+04 2.760000000000e+03 9.828282828283e-04 3.145050505051e-04 2.653636363636e-05 2.700000000000e+00 2.579255334809e-05 2.624319405407e+00 9.828282828283e-06 1.000000000000e+00 4.914141414141e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.246682618698e-05 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900176220066e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.676579455786e-05 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900176220066e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.511542604871e-07 8.660254037844e-02 1.732539777230e-05 1.762810256380e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.914141414141e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.893279892573e-05 8.031189202105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.280383606107e-05 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.965656565657e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016977974136e-04 1.034746345729e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.965656565657e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.081111111111e-05 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.828282828283e-07 1.000000000000e-01 9.828282828283e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 21 JET 5.500000000000e-01 1.260250000000e+05 2.760000000000e+03 3.630303030303e-04 1.597333333333e-04 9.801818181818e-06 2.700000000000e+00 9.527074689933e-06 2.624319405407e+00 3.630303030303e-06 1.000000000000e+00 1.815151515152e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.625447658619e-05 4.477443466980e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.215474031106e-05 3.348133808557e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.777664779449e-06 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.409170290042e-05 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.194505932352e-06 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.237869083502e-06 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.354054239034e-05 9.239047569961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.178408700305e-05 6.000624967451e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.431803943034e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.545133594730e-05 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.260606060606e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.541212121212e-06 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.630303030303e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 22 JET 5.500000000000e-01 2.025000000000e+05 2.760000000000e+03 8.889898989899e-05 6.934121212121e-05 2.400272727273e-06 2.700000000000e+00 2.332993443130e-06 2.624319405407e+00 8.889898989899e-07 1.000000000000e+00 4.444949494949e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.003678679055e-06 5.628498911788e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.103581610689e-06 4.616004766029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.936998627982e-06 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.732434439682e-06 4.198511641046e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.904597321200e-06 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.240518166898e-07 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.778888888889e-06 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.647094646317e-06 7.477131803038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.948445937365e-07 3.316624790355e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.379367452863e-05 1.551612064918e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.444949494949e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.333939393939e-07 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.889898989899e-08 1.000000000000e-01 8.889898989899e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 23 JET 1.000000000000e+00 6.250000000000e+02 2.760000000000e+03 1.285393258427e+03 2.056629213483e+01 3.470561797753e+01 2.700000000000e+00 1.362514128907e+02 1.059997880006e+01 1.285393258427e+01 1.000000000000e+00 6.426966292135e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.283254512822e+02 9.983361157446e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.133530916168e+01 7.105631569396e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.204623352981e+02 9.371632728612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.680869794857e+02 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.887875825406e+01 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.631018608089e+01 7.492663077972e+00 0.000000000000e+00 0.000000000000e+00 2.508164252634e+01 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.206636088800e+01 4.050617236916e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.463677409677e+01 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.279012756300e+01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.856179775281e+00 3.000000000000e-01 1.285393258427e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.221123595506e+02 9.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542471910112e+01 1.200000000000e+00 2.570786516854e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 24 JET 1.000000000000e+00 1.406250000000e+03 2.760000000000e+03 1.738043478261e+02 4.692717391304e+00 4.692717391304e+00 2.700000000000e+00 1.472468287555e+01 8.471987645717e+00 1.738043478261e+00 1.000000000000e+00 8.690217391304e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.256956521739e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.927583464538e+01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086346693428e+01 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.914457509554e+00 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.391412311461e+00 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.448088554261e+01 8.331716509820e+00 0.000000000000e+00 0.000000000000e+00 4.620548625186e+00 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.393538460444e+00 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.998777463003e+00 4.602173399602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.740807860717e+00 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.476086956522e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.216630434783e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.211630434783e+00 5.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.738043478261e-01 1.000000000000e-01 1.738043478261e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 25 JET 1.000000000000e+00 2.756250000000e+03 2.760000000000e+03 2.861702127660e+01 6.868085106383e-01 7.726595744681e-01 2.700000000000e+00 1.876671985965e+00 6.557887237201e+00 2.861702127660e-01 1.000000000000e+00 1.430851063830e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.087328185698e-01 1.428285685709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.283810423844e+00 7.980601481092e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737114478922e+00 6.070214164261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.628272667665e-01 1.267872233311e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.311588997471e-01 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.043012821595e+00 7.139152610780e+00 0.000000000000e+00 0.000000000000e+00 8.053543655697e-01 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.760671787592e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.293476699241e+00 4.519955751996e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478306740617e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.083796661100e-01 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478306740617e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430851063830e-01 5.000000000000e-01 2.861702127660e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.116063829787e+00 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430851063830e-01 5.000000000000e-01 2.861702127660e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 26 JET 1.000000000000e+00 4.900000000000e+03 2.760000000000e+03 6.184375000000e+00 6.802812500000e-02 1.669781250000e-01 2.700000000000e+00 3.572293578481e-01 5.776321097088e+00 6.184375000000e-02 1.000000000000e+00 3.092187500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.329062500000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.069840346986e-01 6.580843410992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.331966549452e-01 5.387717513010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960310306757e-01 3.169779172119e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.653380829906e-01 2.673480877059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.885835288161e-01 6.283311228962e+00 0.000000000000e+00 0.000000000000e+00 2.155456535338e-01 3.485326383569e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.831989317551e-02 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.138075218802e-01 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.817116883301e-02 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.355825856529e-03 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.024210000867e-02 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.363370681522e-01 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.092187500000e-02 5.000000000000e-01 6.184375000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.421250000000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.184375000000e-03 1.000000000000e-01 6.184375000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 27 JET 1.000000000000e+00 9.025000000000e+03 2.760000000000e+03 1.182653061224e+00 1.892244897959e-02 3.193163265306e-02 2.700000000000e+00 5.497184776254e-02 4.648180397523e+00 1.182653061224e-02 1.000000000000e+00 5.913265306122e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.387241080729e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.331256692070e-02 6.198991853519e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.757147517048e-02 4.022437072224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.261957818929e-02 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.064387755102e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.842744067531e-02 4.094813793080e+00 0.000000000000e+00 0.000000000000e+00 3.261957818929e-02 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362619579864e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.883327531604e-02 4.974685919734e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362619579864e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024207594884e-03 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.222916096266e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.807961077258e-02 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.913265306122e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.311428571429e-02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.547959183673e-03 3.000000000000e-01 1.182653061224e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 28 JET 1.000000000000e+00 1.822500000000e+04 2.760000000000e+03 1.523232323232e-01 4.722020202020e-03 4.112727272727e-03 2.700000000000e+00 6.154474033262e-03 4.040404040404e+00 1.523232323232e-03 1.000000000000e+00 7.616161616162e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.319157887785e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.656620184961e-03 6.339558344238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.637868267234e-03 4.357751713900e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.921398831935e-03 2.574393132371e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.603016580364e-03 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.651889853169e-03 3.710458192730e+00 0.000000000000e+00 0.000000000000e+00 4.313733698147e-03 2.831960451701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.451073676563e-03 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.179923601360e-03 6.026607669328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.139300149399e-03 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523232323232e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.525995042351e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.398170618715e-03 6.169886546769e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.132525252525e-03 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.569696969697e-03 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523232323232e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 29 JET 1.000000000000e+00 3.422500000000e+04 2.760000000000e+03 1.731313131313e-02 1.575494949495e-03 4.674545454545e-04 2.700000000000e+00 5.246403428222e-04 3.030303030303e+00 1.731313131313e-04 1.000000000000e+00 8.656565656566e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.801052174235e-04 5.661051139144e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.825458746385e-04 4.519955751996e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.178768247092e-04 2.991237202229e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.378279509097e-04 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.565957237353e-04 4.370068649346e+00 0.000000000000e+00 0.000000000000e+00 4.945619525868e-04 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.211919191919e-04 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.246785891515e-03 7.201388754956e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.760357446056e-04 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731313131313e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.419676767677e-03 8.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.462626262626e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.328282828283e-04 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731313131313e-05 1.000000000000e-01 1.731313131313e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 30 JET 1.000000000000e+00 5.522500000000e+04 2.760000000000e+03 2.305050505051e-03 5.071111111111e-04 6.223636363636e-05 2.700000000000e+00 6.985001530456e-05 3.030303030303e+00 2.305050505051e-05 1.000000000000e+00 1.152525252525e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129945068023e-04 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.013307507982e-05 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.570406244797e-05 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.771839100263e-05 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.047911046887e-04 4.546152219185e+00 0.000000000000e+00 0.000000000000e+00 5.081577811847e-05 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278212338769e-05 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.776085914072e-04 7.705193054038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.013307507982e-05 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.822493824036e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.201383573132e-04 9.550261776517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.220202020202e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.915151515152e-06 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.305050505051e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 31 JET 1.000000000000e+00 8.122500000000e+04 2.760000000000e+03 6.577777777778e-04 2.762666666667e-04 1.776000000000e-05 2.700000000000e+00 1.993265993266e-05 3.030303030303e+00 6.577777777778e-06 1.000000000000e+00 3.288888888889e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.329908640722e-05 5.062361109206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.142326783986e-05 3.256915718897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.551111111111e-06 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.273619141369e-05 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.478767711435e-05 5.288667128871e+00 0.000000000000e+00 0.000000000000e+00 1.283509694472e-05 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.877542813639e-06 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.185909532214e-05 9.404254356407e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.521876379796e-05 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.315555555556e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.893333333333e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.946666666667e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.907555555556e-05 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.577777777778e-07 1.000000000000e-01 6.577777777778e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 32 JET 1.000000000000e+00 1.260250000000e+05 2.760000000000e+03 5.297979797980e-05 6.569494949495e-05 1.430454545455e-06 2.700000000000e+00 1.390359119329e-06 2.624319405407e+00 5.297979797980e-07 1.000000000000e+00 2.648989898990e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.413344652657e-07 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.940617425934e-06 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.148623124317e-06 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.454918381901e-07 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.519048723356e-06 4.754734482597e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.597460924943e-06 6.790250363573e+00 0.000000000000e+00 0.000000000000e+00 1.298545548155e-06 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622439205405e-07 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.827777777778e-06 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.979837346303e-06 7.511990415329e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.059595959596e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.297979797980e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.982211420612e-06 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112575757576e-06 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112575757576e-06 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.059595959596e-07 2.000000000000e-01 5.297979797980e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 33 JET 1.650000000000e+00 6.250000000000e+02 2.760000000000e+03 1.063146067416e+03 1.275775280899e+01 2.870494382022e+01 2.700000000000e+00 1.162766576970e+02 1.093703501906e+01 1.063146067416e+01 1.000000000000e+00 5.315730337079e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210808556769e+02 1.138892005416e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.982804120740e+01 7.508661665037e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.150299971606e+02 1.081977356510e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.191897698130e+02 1.121104366239e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.428038468507e+01 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635932744258e+02 1.538765739156e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286999927189e+01 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.581407146444e+01 4.309292285283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.784157303371e+01 4.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.932337251704e+01 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.063146067416e+00 1.000000000000e-01 6.378876404494e+00 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.275775280899e+02 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.378876404494e+00 6.000000000000e-01 2.126292134831e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 34 JET 1.650000000000e+00 1.406250000000e+03 2.760000000000e+03 1.380434782609e+02 2.898913043478e+00 3.727173913043e+00 2.700000000000e+00 1.071551760899e+01 7.762422204938e+00 1.380434782609e+00 1.000000000000e+00 6.902173913043e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.612023442956e+00 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.667985694181e+01 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.330707831487e+00 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.171337754922e+00 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.982346204304e+00 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.305852989122e+01 1.670381692907e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.935449851845e+00 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.625486582231e+00 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.904934230656e+00 5.001999600160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.969565217391e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.289192110734e-01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.380434782609e-01 1.000000000000e-01 1.380434782609e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.592391304348e+00 5.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.521739130435e-01 4.000000000000e-01 1.380434782609e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 35 JET 1.650000000000e+00 2.756250000000e+03 2.760000000000e+03 2.135106382979e+01 4.056702127660e-01 5.764787234043e-01 2.700000000000e+00 1.259546557739e+00 5.899221545962e+00 2.135106382979e-01 1.000000000000e+00 1.067553191489e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.469137250661e-01 1.624807680927e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.712449825614e+00 8.020442631177e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308003183776e+00 6.126173356999e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.623854710684e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.890348977307e-01 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.395985141956e+00 1.122185367932e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.892128695719e-01 3.228002478314e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.365235312620e-01 2.044504830026e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.895475261318e-01 4.634652090503e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540673379917e-02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.755884082422e-01 2.695830113342e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.547169102326e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.270212765957e-02 2.000000000000e-01 2.135106382979e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.629680851064e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.135106382979e-02 1.000000000000e-01 2.135106382979e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 36 JET 1.650000000000e+00 4.900000000000e+03 2.760000000000e+03 4.359375000000e+00 3.923437500000e-02 1.177031250000e-01 2.700000000000e+00 2.068531061671e-01 4.745017489138e+00 4.359375000000e-02 1.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.284030351059e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.855557008511e-01 6.550381668269e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.068491616587e-01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.229175950507e-01 7.407428703673e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286385010510e-01 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.667187500000e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.049833566748e-01 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.051562500000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.305724888170e-02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.307812500000e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.667187500000e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.359375000000e-03 1.000000000000e-01 4.359375000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 37 JET 1.650000000000e+00 9.025000000000e+03 2.760000000000e+03 7.395876288660e-01 9.614639175258e-03 1.996886597938e-02 2.700000000000e+00 3.049845892231e-02 4.123711340206e+00 7.395876288660e-03 1.000000000000e+00 3.697938144330e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.368981984370e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.146780691123e-02 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.439480079000e-02 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.875051546392e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.395876288660e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.719907790898e-02 6.381810088055e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.516772255834e-02 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.998119676020e-03 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.220836382203e-02 5.707013229352e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.035422680412e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.405016749226e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.640856059091e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551561091885e-02 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.218762886598e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.331257731959e-02 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.218762886598e-03 3.000000000000e-01 7.395876288660e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 38 JET 1.650000000000e+00 1.822500000000e+04 2.760000000000e+03 8.371428571429e-02 2.344000000000e-03 2.260285714286e-03 2.700000000000e+00 3.050201938139e-03 3.643585932930e+00 8.371428571429e-04 1.000000000000e+00 4.185714285714e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.249869808824e-05 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.925853950345e-03 7.078665128398e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.896762871609e-03 4.654836194755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.645324446252e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.645324446252e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.692295863369e-03 5.605131577403e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.470280769798e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.454728419829e-04 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.665886509521e-03 6.768123816834e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.841714285714e-03 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.388244376534e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371428571429e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.749379883154e-03 6.867859928682e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.348571428571e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.925428571429e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371428571429e-05 1.000000000000e-01 8.371428571429e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 39 JET 1.650000000000e+00 3.422500000000e+04 2.760000000000e+03 9.238383838384e-03 7.760242424242e-04 2.494363636364e-04 2.700000000000e+00 3.332083685718e-04 3.606782034618e+00 9.238383838384e-05 1.000000000000e+00 4.619191919192e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.914008977875e-04 6.401562309312e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.758216120868e-04 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.238383838384e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.221058112171e-04 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.729292310428e-04 7.284057934970e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.774592903881e-04 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.040377232973e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.808893880668e-04 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.328383410261e-04 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.238383838384e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.057386145607e-04 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016222222222e-04 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.124828282828e-04 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.847676767677e-05 2.000000000000e-01 9.238383838384e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 40 JET 1.650000000000e+00 5.522500000000e+04 2.760000000000e+03 9.152525252525e-04 2.196606060606e-04 2.471181818182e-05 2.700000000000e+00 3.301116365219e-05 3.606782034618e+00 9.152525252525e-06 1.000000000000e+00 4.576262626263e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.720694372124e-05 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.486604847220e-05 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.968856888781e-05 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.020333333333e-05 3.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783145172866e-05 8.503822669835e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.565973747713e-05 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.322020202020e-06 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.881722930247e-05 9.704122835167e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.713994781455e-05 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.517774607344e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098303030303e-04 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098303030303e-05 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.111858585859e-05 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.152525252525e-07 1.000000000000e-01 9.152525252525e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 41 JET 1.650000000000e+00 8.122500000000e+04 2.760000000000e+03 9.035353535354e-05 6.957222222222e-05 2.439545454545e-06 2.700000000000e+00 3.258855080773e-06 3.606782034618e+00 9.035353535354e-07 1.000000000000e+00 4.517676767677e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.783332106543e-06 6.400781202322e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.170723498195e-06 4.616004766029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.533123846517e-06 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.348953219990e-06 4.813262926540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.236191002575e-06 1.022227958921e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.632685584512e-06 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.131818181818e-07 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.181525789393e-05 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173699118594e-06 6.832825184358e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.710606060606e-07 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.413534785787e-05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.324747474747e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.228282828283e-07 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.035353535354e-08 1.000000000000e-01 9.035353535354e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 42 JET 1.650000000000e+00 1.260250000000e+05 2.760000000000e+03 2.403030303030e-05 2.931696969697e-05 6.488181818182e-07 2.700000000000e+00 8.667206525611e-07 3.606782034618e+00 2.403030303030e-07 1.000000000000e+00 1.201515151515e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403030303030e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733183003123e-06 7.212489168103e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.345696969697e-06 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.864427568284e-07 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.501990057530e-06 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.057779342075e-06 1.272468074256e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.995268590530e-07 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.189264796443e-07 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.364242424242e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.187021629079e-06 9.101098834756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.177239615774e-07 4.898979485566e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.448852213693e-06 1.851350858157e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.806060606061e-08 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.170303030303e-07 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403030303030e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 43 JET 2.450000000000e+00 6.250000000000e+02 2.760000000000e+03 7.103409090909e+02 1.349647727273e+01 1.917920454545e+01 2.700000000000e+00 8.152376726459e+01 1.147671015723e+01 7.103409090909e+00 1.000000000000e+00 3.551704545455e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.605612274538e+01 1.211476372035e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.303350234080e+01 7.465922581972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.135419410730e+01 1.145283807621e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.193753143255e+01 7.311634564172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.165602999993e+01 4.456455991031e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.920326212120e+02 2.703386764782e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.491715909091e+01 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.263512088526e+01 4.594289934255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.312619061184e+01 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.954083157760e+01 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278613636364e+02 1.800000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841363636364e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.420681818182e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 44 JET 2.450000000000e+00 1.406250000000e+03 2.760000000000e+03 8.467391304348e+01 1.270108695652e+00 2.286195652174e+00 2.700000000000e+00 6.933375730161e+00 8.188325637674e+00 8.467391304348e-01 1.000000000000e+00 4.233695652174e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.286776933122e+00 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.901780569551e+00 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608967709108e+00 6.624198064672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622965110284e+00 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.710329205866e+00 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.281203849832e+01 2.694104675027e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.347697809373e+00 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.783634769104e+00 3.287476235656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.959580692721e+00 4.676269881006e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.936549413321e+00 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404157995482e-01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.540217391304e-01 3.000000000000e-01 8.467391304348e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.318369565217e+00 5.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.773913043478e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.467391304348e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 45 JET 2.450000000000e+00 2.756250000000e+03 2.760000000000e+03 1.096808510638e+01 2.851702127660e-01 2.961382978723e-01 2.700000000000e+00 7.000905387053e-01 6.382978723404e+00 1.096808510638e-01 1.000000000000e+00 5.484042553191e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.308514861747e-01 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.540815650269e-01 8.698706800439e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.545492534693e-01 6.879498528236e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.636906500821e-01 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.199094225861e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.827791153061e+00 1.666463320928e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622790222644e-01 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.369588726509e-01 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.674592991739e-01 5.173731728646e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.818851148328e-02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.134551309889e-01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.653364413213e-02 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.387234042553e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290425531915e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.096808510638e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.096808510638e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 46 JET 2.450000000000e+00 4.900000000000e+03 2.760000000000e+03 1.898947368421e+00 2.468631578947e-02 5.127157894737e-02 2.700000000000e+00 9.994459833795e-02 5.263157894737e+00 1.898947368421e-02 1.000000000000e+00 9.494736842105e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430526346772e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.512586378697e-01 7.965393901120e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.158669155765e-01 6.101639124039e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.861052693544e-02 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.892859294974e-02 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.089144188683e-01 1.100159079406e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.031235680244e-02 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.617980655305e-02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.120700756638e-01 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.329263157895e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.709052631579e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.034001667332e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.595789473684e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.937263157895e-02 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.797894736842e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.898947368421e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 47 JET 2.450000000000e+00 9.025000000000e+03 2.760000000000e+03 2.259375000000e-01 6.100312500000e-03 6.100312500000e-03 2.700000000000e+00 1.072077388952e-02 4.745017489138e+00 2.259375000000e-03 1.000000000000e+00 1.129687500000e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.067582427870e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.172762361891e-02 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.539155170671e-02 6.812305043082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.711250000000e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.279986910910e-03 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.253124831560e-02 9.972336737195e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.092005279864e-02 4.833218389438e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.957132612226e-03 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.821286097467e-02 8.061017305527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.518750000000e-03 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.259375000000e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.037500000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.570712560047e-02 6.951978135754e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129687500000e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.100312500000e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.807500000000e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.259375000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 48 JET 2.450000000000e+00 1.822500000000e+04 2.760000000000e+03 1.169791666667e-02 1.006020833333e-03 3.158437500000e-04 2.700000000000e+00 5.169797625472e-04 4.419417382416e+00 1.169791666667e-04 1.000000000000e+00 5.848958333333e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.231063317551e-03 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.190212627130e-04 7.001428425686e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.112113844350e-04 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.112113844350e-04 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245320013265e-03 1.064565639122e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.213125081175e-04 4.456455991031e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.581383547109e-04 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-03 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.509375000000e-04 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.013069300469e-05 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-03 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.358333333333e-05 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.637708333333e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 49 JET 2.450000000000e+00 3.422500000000e+04 2.760000000000e+03 5.484375000000e-04 2.138906250000e-04 1.480781250000e-05 2.700000000000e+00 3.281805808813e-05 5.983919423477e+00 5.484375000000e-06 1.000000000000e+00 2.742187500000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.032812500000e-05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.915175082716e-05 8.962142600963e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.209052827727e-05 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086046033869e-05 3.803616699932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.158700994145e-05 1.669962574431e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.637066352088e-05 4.808326112069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.771637014162e-06 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.580023803678e-05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072771614248e-05 7.426136276692e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.094807042303e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.902296874889e-05 1.805547008527e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.871875000000e-06 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.484375000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.935937500000e-06 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.484375000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 50 JET 2.450000000000e+00 5.522500000000e+04 2.760000000000e+03 6.525000000000e-05 7.373250000000e-05 1.761750000000e-06 2.700000000000e+00 3.904507423819e-06 5.983919423477e+00 6.525000000000e-07 1.000000000000e+00 3.262500000000e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.036116595822e-06 1.078332045337e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.626772552223e-06 7.090839160494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.243179467133e-06 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.205063793729e-06 4.911975162804e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542745147051e-05 2.364360378623e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.883228494501e-06 2.886173937932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308258432039e-06 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.376063560260e-05 2.108909670896e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.774809319092e-06 8.850282481367e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.780978911632e-07 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.068280909808e-05 3.169779172119e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.438500000000e-06 1.140000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.045500000000e-06 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.022750000000e-06 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 6.525000000000e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 51 JET 3.200000000000e+00 6.250000000000e+02 2.760000000000e+03 3.643023255814e+02 8.378953488372e+00 9.836162790698e+00 2.700000000000e+00 4.278224577054e+01 1.174361039344e+01 7.286046511628e+00 2.000000000000e+00 1.821511627907e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.732426029169e+01 1.299038105677e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.103205816862e+01 8.518215775619e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.260157065178e+01 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.583659215976e+01 9.837047321224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.719182778858e+01 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 1.419381890534e+02 3.896164780910e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.293280207436e+00 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.791760168442e+01 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.895072544921e+01 5.201922721456e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.165767441860e+01 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.643023255814e-01 1.000000000000e-01 1.457209302326e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.921744186047e+01 1.900000000000e+01 0.000000000000e+00 0.000000000000e+00 3.643023255814e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.286046511628e+00 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 52 JET 3.200000000000e+00 1.406250000000e+03 2.760000000000e+03 3.169662921348e+01 7.290224719101e-01 8.558089887640e-01 2.700000000000e+00 2.775851404707e+00 8.757560262989e+00 6.339325842697e-01 2.000000000000e+00 1.584831460674e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.300334656458e+00 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.460111075886e+00 1.407124727947e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.519981695435e+00 7.950314459190e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.903909688777e+00 6.006662967072e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.607191011236e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.411592932205e+01 4.453448102314e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.078617244183e+00 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.205305743310e+00 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.910231487098e+00 6.026607669328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.745008611321e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.300334656458e+00 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.169662921348e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.584831460674e-01 5.000000000000e-01 1.584831460674e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.838404494382e+00 5.800000000000e+00 0.000000000000e+00 0.000000000000e+00 9.508988764045e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.169662921348e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 53 JET 3.200000000000e+00 2.756250000000e+03 2.760000000000e+03 2.476923076923e+00 5.696923076923e-02 6.687692307692e-02 2.700000000000e+00 1.861066684125e-01 7.513623258889e+00 2.476923076923e-02 1.000000000000e+00 1.238461538462e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.665237108455e-02 1.883480820184e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.101103735559e-01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.452404027642e-01 9.901010049485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.437202466250e-01 5.802370205356e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.075507550741e-02 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 8.911580611102e-01 3.597843103861e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218233263387e-01 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.991551410400e-02 2.822676035254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.912370696406e-01 7.720751258783e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.953846153846e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.087303842409e-02 3.668787265569e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.256584317296e-02 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 5.449230769231e-02 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.907692307692e-02 4.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733846153846e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.476923076923e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 54 JET 3.200000000000e+00 4.900000000000e+03 2.760000000000e+03 1.949450549451e-01 7.602857142857e-03 5.263516483516e-03 2.700000000000e+00 1.421010114259e-02 7.289285253528e+00 1.949450549451e-03 1.000000000000e+00 9.747252747253e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.024790992489e-03 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.440708973772e-02 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823231377781e-02 9.352539762011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.423365924068e-02 7.301369734509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.119525895818e-03 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 5.052650905304e-02 2.591833327975e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.200891602663e-02 6.160154218849e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.943308443721e-03 2.535744466621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839934349858e-02 9.438220171198e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.986861078383e-03 1.532155344604e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.949450549451e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.607558105461e-03 8.246211251235e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.891900894610e-03 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 8.577582417582e-03 4.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.618043956044e-02 8.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.754505494505e-03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.949450549451e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 55 JET 3.200000000000e+00 9.025000000000e+03 2.760000000000e+03 4.981318681319e-03 7.471978021978e-04 1.344956043956e-04 2.700000000000e+00 3.631025280686e-04 7.289285253528e+00 4.981318681319e-05 1.000000000000e+00 2.490659340659e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.248746556107e-05 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.951572554462e-04 1.395528573695e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.949022211970e-04 9.935164819972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.989282425302e-04 1.001598722044e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.266078359737e-04 2.541653005428e+00 0.000000000000e+00 0.000000000000e+00 1.076100313891e-03 2.160271973618e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.138018936706e-04 8.307075297600e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.518281092641e-04 3.047950130826e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.227793949560e-04 1.250229978844e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.866997975946e-04 3.747999466382e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.313948522368e-06 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.030885262153e-05 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.894607212320e-04 1.183342722967e+01 0.000000000000e+00 0.000000000000e+00 1.245329670330e-04 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.295142857143e-04 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 8.966373626374e-05 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.981318681319e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 56 JET 3.200000000000e+00 1.822500000000e+04 2.760000000000e+03 1.656043956044e-04 1.142670329670e-04 4.471318681319e-06 2.700000000000e+00 1.189867294031e-05 7.184998258584e+00 1.656043956044e-06 1.000000000000e+00 8.280219780220e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.746238219267e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.933261280850e-05 2.375094734953e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.002643178651e-05 1.209293492085e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.124130575688e-05 1.282653499586e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.492111973781e-06 4.524102120863e+00 0.000000000000e+00 0.000000000000e+00 6.004455483417e-05 3.625782674127e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.439450549451e-06 5.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.908801978496e-06 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.147297092577e-05 2.504339982910e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.298003156125e-06 5.010738468529e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.025999467570e-07 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.941132373727e-05 2.379847684202e+01 0.000000000000e+00 0.000000000000e+00 4.388516483516e-05 2.650000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.968131868132e-05 3.000000000000e+01 0.000000000000e+00 0.000000000000e+00 3.312087912088e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.656043956044e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 57 JET 4.000000000000e+00 6.250000000000e+02 2.760000000000e+03 5.962820512821e+01 3.458435897436e+00 1.609961538462e+00 2.700000000000e+00 9.012899621300e+00 1.511516169558e+01 1.192564102564e+00 2.000000000000e+00 2.981410256410e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.166566058831e+01 1.956399754651e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.797399610157e+00 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.102718827993e+01 1.849324200891e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.105250064093e+00 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.187581483443e+00 7.022819946432e+00 5.891963696049e+01 9.881168959187e+01 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.899641814431e+00 4.862869523234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.788846153846e-01 3.000000000000e-01 8.944230769231e-01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.848474358974e+01 3.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.192564102564e+00 2.000000000000e+00 - 58 JET 4.000000000000e+00 1.406250000000e+03 2.760000000000e+03 1.705128205128e+00 1.091282051282e-01 4.603846153846e-02 2.700000000000e+00 2.630096732846e-01 1.542462745579e+01 1.705128205128e-02 1.000000000000e+00 8.525641025641e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.858746170787e-01 1.090091739259e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.774358974359e-01 2.800000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.084469916595e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.379555132070e-01 1.395528573695e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.873081587070e-01 1.098498975876e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.115384615385e-02 3.000000000000e+00 3.239743589744e-02 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.898717948718e-01 1.700000000000e+01 3.239743589744e-02 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.705128205128e-02 1.000000000000e+00 - 59 JET 4.000000000000e+00 2.756250000000e+03 2.760000000000e+03 1.170128205128e-02 2.106230769231e-03 3.159346153846e-04 2.700000000000e+00 1.849526844349e-03 1.580618975120e+01 1.170128205128e-04 1.000000000000e+00 5.850641025641e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.339170754172e-04 4.562893818620e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.967146121391e-03 2.535744466621e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.989217948718e-03 1.700000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.013832097485e-04 4.284857057126e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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9.120246761931e-05 7.794228634060e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.366825792399e-04 7.150349641801e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.810135422857e-04 2.401561991705e+00 1.766893589744e-03 1.510000000000e+01 2.340256410256e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.989217948718e-03 1.700000000000e+01 2.106230769231e-04 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.170128205128e-04 1.000000000000e+00 +ATLASR04JETS2P76TEV 91 59 + 1 JET 1.500000000000e-01 6.250000000000e+02 2.760000000000e+03 1.486363636364e+03 2.526818181818e+01 4.013181818182e+01 2.700000000000e+00 1.593446193276e+02 1.072043310461e+01 1.486363636364e+01 1.000000000000e+00 7.431818181818e+00 5.000000000000e-01 1.717184272109e+02 1.155292170838e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.648457017089e+02 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.130418389596e+02 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.486363636364e+00 1.000000000000e-01 4.459090909091e+00 3.000000000000e-01 6.837272727273e+01 4.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.486363636364e+00 1.000000000000e-01 2.972727272727e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.17255e+01 3.48000e+00 + 2 JET 1.500000000000e-01 1.406250000000e+03 2.760000000000e+03 2.137362637363e+02 6.198351648352e+00 5.770879120879e+00 2.700000000000e+00 1.830669568077e+01 8.565086411055e+00 2.137362637363e+00 1.000000000000e+00 1.068681318681e+00 5.000000000000e-01 8.814515649423e+00 4.124015033920e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.896359868568e+01 8.872429205128e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.307945439936e+01 6.119436248544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.320490822366e+01 1.085679510721e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.331818613900e+00 1.558845726812e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.315174205877e+00 2.954657340539e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.551454092160e+00 4.000937390162e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.011810405990e+01 4.733920151418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.720727680545e+00 4.080134801695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.137362637363e-01 1.000000000000e-01 7.480769230769e+00 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.137362637363e-01 1.000000000000e-01 2.137362637363e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.27316e+00 2.93500e+00 + 3 JET 1.500000000000e-01 2.756250000000e+03 2.760000000000e+03 3.566666666667e+01 9.273333333333e-01 9.630000000000e-01 2.700000000000e+00 2.301075268817e+00 6.451612903226e+00 3.566666666667e-01 1.000000000000e+00 1.783333333333e-01 5.000000000000e-01 4.874081964842e-01 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.591852763951e+00 7.266876908274e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.370268586811e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.822406124697e+00 5.109549882328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.459721244317e-01 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.045343696802e+00 2.930870177951e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.771323889789e-01 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.449993668569e+00 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.266471820493e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.088823940164e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.683149263864e+00 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.133333333333e-02 2.000000000000e-01 3.566666666667e-02 1.000000000000e-01 4.993333333333e-01 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.566666666667e-02 1.000000000000e-01 3.566666666667e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.01472e+00 2.84500e+00 + 4 JET 1.500000000000e-01 4.900000000000e+03 2.760000000000e+03 7.700000000000e+00 8.470000000000e-02 2.079000000000e-01 2.700000000000e+00 4.494585847334e-01 5.837124477058e+00 7.700000000000e-02 1.000000000000e+00 3.850000000000e-02 5.000000000000e-01 5.800609881728e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.160149125752e-01 6.701492371107e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.887285550732e-01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.964999957841e-01 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.335235170054e-02 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.387000000000e-01 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.194741289987e-01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.503923051381e-01 4.550549417378e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.266833329082e-02 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.471837697819e-01 4.508880127038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.540000000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.080000000000e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 7.700000000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.18719e-01 2.84050e+00 + 5 JET 1.500000000000e-01 9.025000000000e+03 2.760000000000e+03 1.420618556701e+00 2.415051546392e-02 3.835670103093e-02 2.700000000000e+00 7.322776065469e-02 5.154639175258e+00 1.420618556701e-02 1.000000000000e+00 7.103092783505e-03 5.000000000000e-01 6.471225501062e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.117400256722e-01 7.865589615534e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.187034385229e-02 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.477677467784e-02 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.197969828088e-02 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.976222203269e-02 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.222484974576e-02 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.398136259113e-02 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.575542196478e-02 1.109053650641e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551546391753e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841237113402e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.846804123711e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 1.420618556701e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.40889e-02 3.10350e+00 + 6 JET 1.500000000000e-01 1.822500000000e+04 2.760000000000e+03 2.027551020408e-01 6.488163265306e-03 5.474387755102e-03 2.700000000000e+00 8.275718450646e-03 4.081632653061e+00 2.027551020408e-03 1.000000000000e+00 1.013775510204e-03 5.000000000000e-01 1.755910691143e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.145656037665e-02 5.650442460551e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.912646120462e-03 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.507416643181e-03 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.419285714286e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.494496271465e-03 3.203123475609e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.027551020408e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.176329117656e-02 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660838679533e-03 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.362312988998e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.362312988998e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.054813632386e-03 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.082653061224e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.635816326531e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.027551020408e-04 1.000000000000e-01 2.027551020408e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.17753e-03 3.54000e+00 + 7 JET 1.500000000000e-01 3.422500000000e+04 2.760000000000e+03 2.577777777778e-02 2.216888888889e-03 6.960000000000e-04 2.700000000000e+00 7.811447811448e-04 3.030303030303e+00 2.577777777778e-04 1.000000000000e+00 1.288888888889e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.148413742280e-03 4.455053310568e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.227831572477e-03 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.991111111111e-04 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.970043022509e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.741921157560e-04 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.941906915672e-04 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830585253511e-03 7.101408311032e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.348927527365e-04 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.733333333333e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.733333333333e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.469785505473e-03 5.701754116059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.546666666667e-04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.866666666667e-04 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.155555555556e-05 2.000000000000e-01 2.577777777778e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.04245e-03 4.04400e+00 + 8 JET 1.500000000000e-01 5.522500000000e+04 2.760000000000e+03 4.273737373737e-03 8.120101010101e-04 1.153909090909e-04 2.700000000000e+00 1.295071931436e-04 3.030303030303e+00 4.273737373737e-05 1.000000000000e+00 2.136868686869e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.500318995315e-04 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587200029359e-04 6.053717865907e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.004782832878e-04 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.485143253203e-05 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.261114654378e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.794318398503e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.931406902912e-04 6.859118019104e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.647884634825e-04 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.526029478847e-05 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.014348498633e-04 7.053190767305e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.564242424242e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 4.273737373737e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.97233e-04 4.61500e+00 + 9 JET 1.500000000000e-01 8.122500000000e+04 2.760000000000e+03 1.208080808081e-03 4.711515151515e-04 3.261818181818e-05 2.700000000000e+00 3.660850933578e-05 3.030303030303e+00 1.208080808081e-05 1.000000000000e+00 6.040404040404e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.951190311762e-05 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.835342491120e-05 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.301703073169e-05 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.295353535354e-05 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.332091859414e-05 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.248484848485e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.699859546391e-05 7.201388754956e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.677979797980e-05 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.125452789692e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.604622316354e-05 7.950314459190e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.248484848485e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.208080808081e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.208080808081e-06 1.000000000000e-01 1.208080808081e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.34846e-05 5.25500e+00 + 10 JET 1.500000000000e-01 1.260250000000e+05 2.760000000000e+03 4.315151515152e-04 1.984969696970e-04 1.165090909091e-05 2.700000000000e+00 1.307621671258e-05 3.030303030303e+00 4.315151515152e-06 1.000000000000e+00 2.157575757576e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.620768841126e-05 3.755995207665e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.035636363636e-05 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.541171638804e-06 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.037432785392e-05 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.493333333333e-06 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551555825602e-05 8.230431337421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.376469553180e-05 5.507267925206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.067702701430e-05 9.426558226628e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.589090909091e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.315151515152e-07 1.000000000000e-01 4.315151515152e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.56320e-05 5.94000e+00 + 11 JET 1.500000000000e-01 2.025000000000e+05 2.760000000000e+03 7.110101010101e-05 8.176616161616e-05 1.919727272727e-06 2.700000000000e+00 2.154576063667e-06 3.030303030303e+00 7.110101010101e-07 1.000000000000e+00 3.555050505051e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.821111111111e-07 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.977070707071e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.354935867537e-06 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.496647959744e-06 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635323232323e-06 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.977070707071e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.805206156588e-06 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.302986747707e-06 7.458384543586e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.064461864994e-07 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.192058321098e-06 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.555050505051e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.110101010101e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.133030303030e-07 3.000000000000e-01 7.110101010101e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.99129e-06 7.02000e+00 + 12 JET 5.500000000000e-01 6.250000000000e+02 2.760000000000e+03 1.481818181818e+03 2.074545454545e+01 4.000909090909e+01 2.700000000000e+00 1.706880678736e+02 1.151882666631e+01 1.481818181818e+01 1.000000000000e+00 7.409090909091e+00 5.000000000000e-01 1.687630880752e+02 1.138892005416e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.127253676525e+02 7.607233399864e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.603293719192e+02 1.081977356510e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024144354616e+02 6.911403620105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.157574167487e+01 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960261198652e+00 1.322875655532e-01 3.201378931978e+01 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.523366899269e+01 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.891251175846e+01 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.234864224506e+01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481818181818e+00 1.000000000000e-01 2.963636363636e+00 2.000000000000e-01 8.446363636364e+01 5.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.963636363636e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.04605e+01 4.75500e+00 + 13 JET 5.500000000000e-01 1.406250000000e+03 2.760000000000e+03 2.073626373626e+02 4.769340659341e+00 5.598791208791e+00 2.700000000000e+00 1.776078907435e+01 8.565086411055e+00 2.073626373626e+00 1.000000000000e+00 1.036813186813e+00 5.000000000000e-01 7.966612375408e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299762899736e+01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.306014272467e+01 6.298214032565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.831465270663e+01 8.832185460009e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.479944885800e+00 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.932550540877e-01 1.414213562373e-01 5.704357330871e+00 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.661474296427e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.876972146348e+00 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.795813117518e-01 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.167521881102e+00 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.147252747253e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.073626373626e-01 1.000000000000e-01 5.391428571429e+00 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.073626373626e-01 1.000000000000e-01 2.073626373626e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.89481e+00 3.32500e+00 + 14 JET 5.500000000000e-01 2.756250000000e+03 2.760000000000e+03 3.298924731183e+01 6.927741935484e-01 8.907096774194e-01 2.700000000000e+00 2.319303149286e+00 7.030482167001e+00 3.298924731183e-01 1.000000000000e+00 1.649462365591e-01 5.000000000000e-01 4.789125283920e-01 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.532394811183e+00 7.676424949154e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913945039698e+00 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.622521053795e+00 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608172043011e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364067216315e-02 1.322875655532e-01 9.896774193548e-01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.285295769230e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.502641203567e+00 4.554942370656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.298924731183e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.589883102233e-01 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.570857867131e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.597849462366e-02 2.000000000000e-01 3.298924731183e-02 1.000000000000e-01 1.979354838710e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.597849462366e-02 2.000000000000e-01 3.298924731183e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.04197e+00 3.15850e+00 + 15 JET 5.500000000000e-01 4.900000000000e+03 2.760000000000e+03 7.358947368421e+00 6.623052631579e-02 1.986915789474e-01 2.700000000000e+00 4.295509180959e-01 5.837124477058e+00 7.358947368421e-02 1.000000000000e+00 3.679473684211e-02 5.000000000000e-01 5.543686081088e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.562547368421e-01 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.569468780713e-01 4.850515436528e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.871875763387e-01 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839736842105e-01 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207684210526e-01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.478772093160e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.313161233843e-01 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943578947368e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.811536186467e-02 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.402067780556e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.471789473684e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.094842105263e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943578947368e-02 4.000000000000e-01 7.358947368421e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.23381e-01 3.03550e+00 + 16 JET 5.500000000000e-01 9.025000000000e+03 2.760000000000e+03 1.398969072165e+00 1.818659793814e-02 3.777216494845e-02 2.700000000000e+00 7.211180784355e-02 5.154639175258e+00 1.398969072165e-02 1.000000000000e+00 6.994845360825e-03 5.000000000000e-01 6.372607405618e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.822383026600e-02 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.018819547454e-02 4.302324952860e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.827456938232e-02 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.259072164948e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.196907216495e-02 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.611852801009e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.210800132131e-02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.611852801009e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.196907216495e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.946441422743e-02 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.797938144330e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.538865979381e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.398969072165e-03 1.000000000000e-01 1.398969072165e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.09758e-02 2.92900e+00 + 17 JET 5.500000000000e-01 1.822500000000e+04 2.760000000000e+03 1.897959183673e-01 4.934693877551e-03 5.124489795918e-03 2.700000000000e+00 7.746772178259e-03 4.081632653061e+00 1.897959183673e-03 1.000000000000e+00 9.489795918367e-04 5.000000000000e-01 1.643680868407e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.186907558435e-02 6.253598963797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.697271689494e-03 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.648277671823e-03 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.808048955248e-03 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.124489795918e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.518367346939e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.110387228853e-02 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.606122448980e-03 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.897959183673e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.897959183673e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129365457654e-02 5.950420153233e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.138775510204e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.518367346939e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.693877551020e-04 3.000000000000e-01 1.897959183673e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.46540e-03 3.40650e+00 + 18 JET 5.500000000000e-01 3.422500000000e+04 2.760000000000e+03 2.149494949495e-02 1.590626262626e-03 5.803636363636e-04 2.700000000000e+00 6.513621059076e-04 3.030303030303e+00 2.149494949495e-04 1.000000000000e+00 1.074747474747e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086452223165e-03 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.952717426083e-04 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.547758003034e-04 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.095337909452e-04 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.500145552795e-04 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.535046433933e-04 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.387173863589e-03 6.453487429290e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.357383415000e-04 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.149494949495e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.590916708399e-03 7.401351227985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.448484848485e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.448484848485e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.149494949495e-05 1.000000000000e-01 2.149494949495e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.60980e-04 4.00550e+00 + 19 JET 5.500000000000e-01 5.522500000000e+04 2.760000000000e+03 3.376767676768e-03 6.078181818182e-04 9.117272727273e-05 2.700000000000e+00 1.023262932354e-04 3.030303030303e+00 3.376767676768e-05 1.000000000000e+00 1.688383838384e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.743128555435e-04 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.354079627944e-04 4.009987531153e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.792573935578e-05 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.129770708092e-05 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.304034035002e-05 2.459166525472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207848358827e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.548732704590e-04 7.547847375245e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.335745322679e-04 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.599735694019e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.105295457711e-04 9.196058938480e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.376767676768e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.363737373737e-05 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.753535353535e-06 2.000000000000e-01 3.376767676768e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.54487e-04 4.57500e+00 + 20 JET 5.500000000000e-01 8.122500000000e+04 2.760000000000e+03 9.828282828283e-04 3.145050505051e-04 2.653636363636e-05 2.700000000000e+00 2.579255334809e-05 2.624319405407e+00 9.828282828283e-06 1.000000000000e+00 4.914141414141e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.246682618698e-05 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900176220066e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.676579455786e-05 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900176220066e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.511542604871e-07 8.660254037844e-02 1.732539777230e-05 1.762810256380e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.914141414141e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.893279892573e-05 8.031189202105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.280383606107e-05 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.965656565657e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016977974136e-04 1.034746345729e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.965656565657e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.081111111111e-05 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.828282828283e-07 1.000000000000e-01 9.828282828283e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.15002e-05 5.24000e+00 + 21 JET 5.500000000000e-01 1.260250000000e+05 2.760000000000e+03 3.630303030303e-04 1.597333333333e-04 9.801818181818e-06 2.700000000000e+00 9.527074689933e-06 2.624319405407e+00 3.630303030303e-06 1.000000000000e+00 1.815151515152e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.625447658619e-05 4.477443466980e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.215474031106e-05 3.348133808557e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.777664779449e-06 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.409170290042e-05 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.194505932352e-06 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.237869083502e-06 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.354054239034e-05 9.239047569961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.178408700305e-05 6.000624967451e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.431803943034e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.545133594730e-05 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.260606060606e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.541212121212e-06 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.630303030303e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.13099e-05 5.87000e+00 + 22 JET 5.500000000000e-01 2.025000000000e+05 2.760000000000e+03 8.889898989899e-05 6.934121212121e-05 2.400272727273e-06 2.700000000000e+00 2.332993443130e-06 2.624319405407e+00 8.889898989899e-07 1.000000000000e+00 4.444949494949e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.003678679055e-06 5.628498911788e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.103581610689e-06 4.616004766029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.936998627982e-06 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.732434439682e-06 4.198511641046e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.904597321200e-06 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.240518166898e-07 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.778888888889e-06 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.647094646317e-06 7.477131803038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.948445937365e-07 3.316624790355e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.379367452863e-05 1.551612064918e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.444949494949e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.333939393939e-07 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.889898989899e-08 1.000000000000e-01 8.889898989899e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.03624e-06 6.79000e+00 + 23 JET 1.000000000000e+00 6.250000000000e+02 2.760000000000e+03 1.285393258427e+03 2.056629213483e+01 3.470561797753e+01 2.700000000000e+00 1.362514128907e+02 1.059997880006e+01 1.285393258427e+01 1.000000000000e+00 6.426966292135e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.283254512822e+02 9.983361157446e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.133530916168e+01 7.105631569396e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.204623352981e+02 9.371632728612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.680869794857e+02 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.887875825406e+01 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.631018608089e+01 7.492663077972e+00 0.000000000000e+00 0.000000000000e+00 2.508164252634e+01 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.206636088800e+01 4.050617236916e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.463677409677e+01 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.279012756300e+01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.856179775281e+00 3.000000000000e-01 1.285393258427e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.221123595506e+02 9.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542471910112e+01 1.200000000000e+00 2.570786516854e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.50148e+01 4.28000e+00 + 24 JET 1.000000000000e+00 1.406250000000e+03 2.760000000000e+03 1.738043478261e+02 4.692717391304e+00 4.692717391304e+00 2.700000000000e+00 1.472468287555e+01 8.471987645717e+00 1.738043478261e+00 1.000000000000e+00 8.690217391304e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.256956521739e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.927583464538e+01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086346693428e+01 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.914457509554e+00 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.391412311461e+00 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.448088554261e+01 8.331716509820e+00 0.000000000000e+00 0.000000000000e+00 4.620548625186e+00 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.393538460444e+00 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.998777463003e+00 4.602173399602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.740807860717e+00 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.476086956522e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.216630434783e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.211630434783e+00 5.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.738043478261e-01 1.000000000000e-01 1.738043478261e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.43139e+00 3.12500e+00 + 25 JET 1.000000000000e+00 2.756250000000e+03 2.760000000000e+03 2.861702127660e+01 6.868085106383e-01 7.726595744681e-01 2.700000000000e+00 1.876671985965e+00 6.557887237201e+00 2.861702127660e-01 1.000000000000e+00 1.430851063830e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.087328185698e-01 1.428285685709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.283810423844e+00 7.980601481092e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737114478922e+00 6.070214164261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.628272667665e-01 1.267872233311e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.311588997471e-01 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.043012821595e+00 7.139152610780e+00 0.000000000000e+00 0.000000000000e+00 8.053543655697e-01 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.760671787592e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.293476699241e+00 4.519955751996e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478306740617e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.083796661100e-01 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478306740617e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430851063830e-01 5.000000000000e-01 2.861702127660e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.116063829787e+00 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430851063830e-01 5.000000000000e-01 2.861702127660e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.67096e-01 3.03000e+00 + 26 JET 1.000000000000e+00 4.900000000000e+03 2.760000000000e+03 6.184375000000e+00 6.802812500000e-02 1.669781250000e-01 2.700000000000e+00 3.572293578481e-01 5.776321097088e+00 6.184375000000e-02 1.000000000000e+00 3.092187500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.329062500000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.069840346986e-01 6.580843410992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.331966549452e-01 5.387717513010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960310306757e-01 3.169779172119e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.653380829906e-01 2.673480877059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.885835288161e-01 6.283311228962e+00 0.000000000000e+00 0.000000000000e+00 2.155456535338e-01 3.485326383569e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.831989317551e-02 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.138075218802e-01 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.817116883301e-02 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.355825856529e-03 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.024210000867e-02 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.363370681522e-01 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.092187500000e-02 5.000000000000e-01 6.184375000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.421250000000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.184375000000e-03 1.000000000000e-01 6.184375000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.77306e-01 2.86700e+00 + 27 JET 1.000000000000e+00 9.025000000000e+03 2.760000000000e+03 1.182653061224e+00 1.892244897959e-02 3.193163265306e-02 2.700000000000e+00 5.497184776254e-02 4.648180397523e+00 1.182653061224e-02 1.000000000000e+00 5.913265306122e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.387241080729e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.331256692070e-02 6.198991853519e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.757147517048e-02 4.022437072224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.261957818929e-02 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.064387755102e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.842744067531e-02 4.094813793080e+00 0.000000000000e+00 0.000000000000e+00 3.261957818929e-02 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362619579864e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.883327531604e-02 4.974685919734e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362619579864e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024207594884e-03 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.222916096266e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.807961077258e-02 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.913265306122e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.311428571429e-02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.547959183673e-03 3.000000000000e-01 1.182653061224e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.70939e-02 3.13650e+00 + 28 JET 1.000000000000e+00 1.822500000000e+04 2.760000000000e+03 1.523232323232e-01 4.722020202020e-03 4.112727272727e-03 2.700000000000e+00 6.154474033262e-03 4.040404040404e+00 1.523232323232e-03 1.000000000000e+00 7.616161616162e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.319157887785e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.656620184961e-03 6.339558344238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.637868267234e-03 4.357751713900e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.921398831935e-03 2.574393132371e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.603016580364e-03 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.651889853169e-03 3.710458192730e+00 0.000000000000e+00 0.000000000000e+00 4.313733698147e-03 2.831960451701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.451073676563e-03 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.179923601360e-03 6.026607669328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.139300149399e-03 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523232323232e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.525995042351e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.398170618715e-03 6.169886546769e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.132525252525e-03 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.569696969697e-03 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523232323232e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.61692e-03 3.68750e+00 + 29 JET 1.000000000000e+00 3.422500000000e+04 2.760000000000e+03 1.731313131313e-02 1.575494949495e-03 4.674545454545e-04 2.700000000000e+00 5.246403428222e-04 3.030303030303e+00 1.731313131313e-04 1.000000000000e+00 8.656565656566e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.801052174235e-04 5.661051139144e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.825458746385e-04 4.519955751996e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.178768247092e-04 2.991237202229e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.378279509097e-04 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.565957237353e-04 4.370068649346e+00 0.000000000000e+00 0.000000000000e+00 4.945619525868e-04 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.211919191919e-04 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.246785891515e-03 7.201388754956e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.760357446056e-04 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731313131313e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.419676767677e-03 8.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.462626262626e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.328282828283e-04 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731313131313e-05 1.000000000000e-01 1.731313131313e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.50524e-04 4.33500e+00 + 30 JET 1.000000000000e+00 5.522500000000e+04 2.760000000000e+03 2.305050505051e-03 5.071111111111e-04 6.223636363636e-05 2.700000000000e+00 6.985001530456e-05 3.030303030303e+00 2.305050505051e-05 1.000000000000e+00 1.152525252525e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129945068023e-04 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.013307507982e-05 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.570406244797e-05 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.771839100263e-05 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.047911046887e-04 4.546152219185e+00 0.000000000000e+00 0.000000000000e+00 5.081577811847e-05 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278212338769e-05 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.776085914072e-04 7.705193054038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.013307507982e-05 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.822493824036e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.201383573132e-04 9.550261776517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.220202020202e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.915151515152e-06 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.305050505051e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.09951e-04 4.77000e+00 + 31 JET 1.000000000000e+00 8.122500000000e+04 2.760000000000e+03 6.577777777778e-04 2.762666666667e-04 1.776000000000e-05 2.700000000000e+00 1.993265993266e-05 3.030303030303e+00 6.577777777778e-06 1.000000000000e+00 3.288888888889e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.329908640722e-05 5.062361109206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.142326783986e-05 3.256915718897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.551111111111e-06 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.273619141369e-05 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.478767711435e-05 5.288667128871e+00 0.000000000000e+00 0.000000000000e+00 1.283509694472e-05 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.877542813639e-06 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.185909532214e-05 9.404254356407e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.521876379796e-05 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.315555555556e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.893333333333e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.946666666667e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.907555555556e-05 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.577777777778e-07 1.000000000000e-01 6.577777777778e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.45004e-05 5.24500e+00 + 32 JET 1.000000000000e+00 1.260250000000e+05 2.760000000000e+03 5.297979797980e-05 6.569494949495e-05 1.430454545455e-06 2.700000000000e+00 1.390359119329e-06 2.624319405407e+00 5.297979797980e-07 1.000000000000e+00 2.648989898990e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.413344652657e-07 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.940617425934e-06 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.148623124317e-06 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.454918381901e-07 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.519048723356e-06 4.754734482597e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.597460924943e-06 6.790250363573e+00 0.000000000000e+00 0.000000000000e+00 1.298545548155e-06 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622439205405e-07 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.827777777778e-06 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.979837346303e-06 7.511990415329e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.059595959596e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.297979797980e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.982211420612e-06 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112575757576e-06 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112575757576e-06 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.059595959596e-07 2.000000000000e-01 5.297979797980e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.01455e-06 5.69000e+00 + 33 JET 1.650000000000e+00 6.250000000000e+02 2.760000000000e+03 1.063146067416e+03 1.275775280899e+01 2.870494382022e+01 2.700000000000e+00 1.162766576970e+02 1.093703501906e+01 1.063146067416e+01 1.000000000000e+00 5.315730337079e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210808556769e+02 1.138892005416e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.982804120740e+01 7.508661665037e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.150299971606e+02 1.081977356510e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.191897698130e+02 1.121104366239e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.428038468507e+01 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635932744258e+02 1.538765739156e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286999927189e+01 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.581407146444e+01 4.309292285283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.784157303371e+01 4.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.932337251704e+01 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.063146067416e+00 1.000000000000e-01 6.378876404494e+00 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.275775280899e+02 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.378876404494e+00 6.000000000000e-01 2.126292134831e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.16157e+01 4.85500e+00 + 34 JET 1.650000000000e+00 1.406250000000e+03 2.760000000000e+03 1.380434782609e+02 2.898913043478e+00 3.727173913043e+00 2.700000000000e+00 1.071551760899e+01 7.762422204938e+00 1.380434782609e+00 1.000000000000e+00 6.902173913043e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.612023442956e+00 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.667985694181e+01 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.330707831487e+00 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.171337754922e+00 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.982346204304e+00 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.305852989122e+01 1.670381692907e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.935449851845e+00 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.625486582231e+00 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.904934230656e+00 5.001999600160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.969565217391e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.289192110734e-01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.380434782609e-01 1.000000000000e-01 1.380434782609e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.592391304348e+00 5.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.521739130435e-01 4.000000000000e-01 1.380434782609e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.04549e+00 3.65500e+00 + 35 JET 1.650000000000e+00 2.756250000000e+03 2.760000000000e+03 2.135106382979e+01 4.056702127660e-01 5.764787234043e-01 2.700000000000e+00 1.259546557739e+00 5.899221545962e+00 2.135106382979e-01 1.000000000000e+00 1.067553191489e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.469137250661e-01 1.624807680927e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.712449825614e+00 8.020442631177e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308003183776e+00 6.126173356999e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.623854710684e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.890348977307e-01 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.395985141956e+00 1.122185367932e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.892128695719e-01 3.228002478314e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.365235312620e-01 2.044504830026e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.895475261318e-01 4.634652090503e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540673379917e-02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.755884082422e-01 2.695830113342e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.547169102326e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.270212765957e-02 2.000000000000e-01 2.135106382979e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.629680851064e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.135106382979e-02 1.000000000000e-01 2.135106382979e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.49209e-01 3.50900e+00 + 36 JET 1.650000000000e+00 4.900000000000e+03 2.760000000000e+03 4.359375000000e+00 3.923437500000e-02 1.177031250000e-01 2.700000000000e+00 2.068531061671e-01 4.745017489138e+00 4.359375000000e-02 1.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.284030351059e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.855557008511e-01 6.550381668269e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.068491616587e-01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.229175950507e-01 7.407428703673e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286385010510e-01 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.667187500000e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.049833566748e-01 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.051562500000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.305724888170e-02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.307812500000e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.667187500000e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.359375000000e-03 1.000000000000e-01 4.359375000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.35664e-01 3.11200e+00 + 37 JET 1.650000000000e+00 9.025000000000e+03 2.760000000000e+03 7.395876288660e-01 9.614639175258e-03 1.996886597938e-02 2.700000000000e+00 3.049845892231e-02 4.123711340206e+00 7.395876288660e-03 1.000000000000e+00 3.697938144330e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.368981984370e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.146780691123e-02 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.439480079000e-02 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.875051546392e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.395876288660e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.719907790898e-02 6.381810088055e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.516772255834e-02 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.998119676020e-03 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.220836382203e-02 5.707013229352e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.035422680412e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.405016749226e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.640856059091e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551561091885e-02 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.218762886598e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.331257731959e-02 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.218762886598e-03 3.000000000000e-01 7.395876288660e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.44582e-02 3.30700e+00 + 38 JET 1.650000000000e+00 1.822500000000e+04 2.760000000000e+03 8.371428571429e-02 2.344000000000e-03 2.260285714286e-03 2.700000000000e+00 3.050201938139e-03 3.643585932930e+00 8.371428571429e-04 1.000000000000e+00 4.185714285714e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.249869808824e-05 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.925853950345e-03 7.078665128398e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.896762871609e-03 4.654836194755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.645324446252e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.645324446252e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.692295863369e-03 5.605131577403e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.470280769798e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.454728419829e-04 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.665886509521e-03 6.768123816834e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.841714285714e-03 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.388244376534e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371428571429e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.749379883154e-03 6.867859928682e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.348571428571e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.925428571429e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371428571429e-05 1.000000000000e-01 8.371428571429e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.15352e-03 3.76700e+00 + 39 JET 1.650000000000e+00 3.422500000000e+04 2.760000000000e+03 9.238383838384e-03 7.760242424242e-04 2.494363636364e-04 2.700000000000e+00 3.332083685718e-04 3.606782034618e+00 9.238383838384e-05 1.000000000000e+00 4.619191919192e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.914008977875e-04 6.401562309312e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.758216120868e-04 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.238383838384e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.221058112171e-04 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.729292310428e-04 7.284057934970e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.774592903881e-04 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.040377232973e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.808893880668e-04 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.328383410261e-04 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.238383838384e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.057386145607e-04 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016222222222e-04 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.124828282828e-04 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.847676767677e-05 2.000000000000e-01 9.238383838384e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.91061e-04 4.23300e+00 + 40 JET 1.650000000000e+00 5.522500000000e+04 2.760000000000e+03 9.152525252525e-04 2.196606060606e-04 2.471181818182e-05 2.700000000000e+00 3.301116365219e-05 3.606782034618e+00 9.152525252525e-06 1.000000000000e+00 4.576262626263e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.720694372124e-05 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.486604847220e-05 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.968856888781e-05 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.020333333333e-05 3.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783145172866e-05 8.503822669835e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.565973747713e-05 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.322020202020e-06 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.881722930247e-05 9.704122835167e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.713994781455e-05 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.517774607344e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098303030303e-04 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098303030303e-05 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.111858585859e-05 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.152525252525e-07 1.000000000000e-01 9.152525252525e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.12092e-05 4.50250e+00 + 41 JET 1.650000000000e+00 8.122500000000e+04 2.760000000000e+03 9.035353535354e-05 6.957222222222e-05 2.439545454545e-06 2.700000000000e+00 3.258855080773e-06 3.606782034618e+00 9.035353535354e-07 1.000000000000e+00 4.517676767677e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.783332106543e-06 6.400781202322e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.170723498195e-06 4.616004766029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.533123846517e-06 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.348953219990e-06 4.813262926540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.236191002575e-06 1.022227958921e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.632685584512e-06 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.131818181818e-07 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.181525789393e-05 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173699118594e-06 6.832825184358e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.710606060606e-07 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.413534785787e-05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.324747474747e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.228282828283e-07 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.035353535354e-08 1.000000000000e-01 9.035353535354e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.25836e-06 4.71300e+00 + 42 JET 1.650000000000e+00 1.260250000000e+05 2.760000000000e+03 2.403030303030e-05 2.931696969697e-05 6.488181818182e-07 2.700000000000e+00 8.667206525611e-07 3.606782034618e+00 2.403030303030e-07 1.000000000000e+00 1.201515151515e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403030303030e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733183003123e-06 7.212489168103e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.345696969697e-06 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.864427568284e-07 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.501990057530e-06 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.057779342075e-06 1.272468074256e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.995268590530e-07 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.189264796443e-07 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.364242424242e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.187021629079e-06 9.101098834756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.177239615774e-07 4.898979485566e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.448852213693e-06 1.851350858157e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.806060606061e-08 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.170303030303e-07 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403030303030e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.10239e-06 4.58750e+00 + 43 JET 2.450000000000e+00 6.250000000000e+02 2.760000000000e+03 7.103409090909e+02 1.349647727273e+01 1.917920454545e+01 2.700000000000e+00 8.152376726459e+01 1.147671015723e+01 7.103409090909e+00 1.000000000000e+00 3.551704545455e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.605612274538e+01 1.211476372035e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.303350234080e+01 7.465922581972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.135419410730e+01 1.145283807621e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.193753143255e+01 7.311634564172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.165602999993e+01 4.456455991031e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.920326212120e+02 2.703386764782e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.491715909091e+01 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.263512088526e+01 4.594289934255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.312619061184e+01 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.954083157760e+01 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278613636364e+02 1.800000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841363636364e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.420681818182e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.80229e+01 3.94500e+00 + 44 JET 2.450000000000e+00 1.406250000000e+03 2.760000000000e+03 8.467391304348e+01 1.270108695652e+00 2.286195652174e+00 2.700000000000e+00 6.933375730161e+00 8.188325637674e+00 8.467391304348e-01 1.000000000000e+00 4.233695652174e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.286776933122e+00 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.901780569551e+00 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608967709108e+00 6.624198064672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622965110284e+00 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.710329205866e+00 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.281203849832e+01 2.694104675027e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.347697809373e+00 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.783634769104e+00 3.287476235656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.959580692721e+00 4.676269881006e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.936549413321e+00 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404157995482e-01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.540217391304e-01 3.000000000000e-01 8.467391304348e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.318369565217e+00 5.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.773913043478e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.467391304348e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.81117e+00 3.32000e+00 + 45 JET 2.450000000000e+00 2.756250000000e+03 2.760000000000e+03 1.096808510638e+01 2.851702127660e-01 2.961382978723e-01 2.700000000000e+00 7.000905387053e-01 6.382978723404e+00 1.096808510638e-01 1.000000000000e+00 5.484042553191e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.308514861747e-01 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.540815650269e-01 8.698706800439e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.545492534693e-01 6.879498528236e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.636906500821e-01 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.199094225861e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.827791153061e+00 1.666463320928e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622790222644e-01 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.369588726509e-01 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.674592991739e-01 5.173731728646e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.818851148328e-02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.134551309889e-01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.653364413213e-02 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.387234042553e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290425531915e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.096808510638e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.096808510638e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.29975e-01 3.00850e+00 + 46 JET 2.450000000000e+00 4.900000000000e+03 2.760000000000e+03 1.898947368421e+00 2.468631578947e-02 5.127157894737e-02 2.700000000000e+00 9.994459833795e-02 5.263157894737e+00 1.898947368421e-02 1.000000000000e+00 9.494736842105e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430526346772e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.512586378697e-01 7.965393901120e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.158669155765e-01 6.101639124039e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.861052693544e-02 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.892859294974e-02 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.089144188683e-01 1.100159079406e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.031235680244e-02 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.617980655305e-02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.120700756638e-01 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.329263157895e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.709052631579e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.034001667332e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.595789473684e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.937263157895e-02 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.797894736842e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.898947368421e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.56466e-02 3.45700e+00 + 47 JET 2.450000000000e+00 9.025000000000e+03 2.760000000000e+03 2.259375000000e-01 6.100312500000e-03 6.100312500000e-03 2.700000000000e+00 1.072077388952e-02 4.745017489138e+00 2.259375000000e-03 1.000000000000e+00 1.129687500000e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.067582427870e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.172762361891e-02 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.539155170671e-02 6.812305043082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.711250000000e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.279986910910e-03 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.253124831560e-02 9.972336737195e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.092005279864e-02 4.833218389438e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.957132612226e-03 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.821286097467e-02 8.061017305527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.518750000000e-03 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.259375000000e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.037500000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.570712560047e-02 6.951978135754e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129687500000e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.100312500000e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.807500000000e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.259375000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.59444e-03 4.24650e+00 + 48 JET 2.450000000000e+00 1.822500000000e+04 2.760000000000e+03 1.169791666667e-02 1.006020833333e-03 3.158437500000e-04 2.700000000000e+00 5.169797625472e-04 4.419417382416e+00 1.169791666667e-04 1.000000000000e+00 5.848958333333e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.231063317551e-03 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.190212627130e-04 7.001428425686e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.112113844350e-04 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.112113844350e-04 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245320013265e-03 1.064565639122e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.213125081175e-04 4.456455991031e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.581383547109e-04 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-03 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.509375000000e-04 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.013069300469e-05 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-03 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.358333333333e-05 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.637708333333e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.37536e-04 5.45000e+00 + 49 JET 2.450000000000e+00 3.422500000000e+04 2.760000000000e+03 5.484375000000e-04 2.138906250000e-04 1.480781250000e-05 2.700000000000e+00 3.281805808813e-05 5.983919423477e+00 5.484375000000e-06 1.000000000000e+00 2.742187500000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.032812500000e-05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.915175082716e-05 8.962142600963e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.209052827727e-05 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086046033869e-05 3.803616699932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.158700994145e-05 1.669962574431e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.637066352088e-05 4.808326112069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.771637014162e-06 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.580023803678e-05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072771614248e-05 7.426136276692e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.094807042303e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.902296874889e-05 1.805547008527e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.871875000000e-06 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.484375000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.935937500000e-06 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.484375000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.99983e-05 9.11650e+00 + 50 JET 2.450000000000e+00 5.522500000000e+04 2.760000000000e+03 6.525000000000e-05 7.373250000000e-05 1.761750000000e-06 2.700000000000e+00 3.904507423819e-06 5.983919423477e+00 6.525000000000e-07 1.000000000000e+00 3.262500000000e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.036116595822e-06 1.078332045337e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.626772552223e-06 7.090839160494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.243179467133e-06 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.205063793729e-06 4.911975162804e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542745147051e-05 2.364360378623e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.883228494501e-06 2.886173937932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308258432039e-06 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.376063560260e-05 2.108909670896e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.774809319092e-06 8.850282481367e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.780978911632e-07 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.068280909808e-05 3.169779172119e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.438500000000e-06 1.140000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.045500000000e-06 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.022750000000e-06 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 6.525000000000e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.04041e-05 1.59450e+01 + 51 JET 3.200000000000e+00 6.250000000000e+02 2.760000000000e+03 3.643023255814e+02 8.378953488372e+00 9.836162790698e+00 2.700000000000e+00 4.278224577054e+01 1.174361039344e+01 7.286046511628e+00 2.000000000000e+00 1.821511627907e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.732426029169e+01 1.299038105677e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.103205816862e+01 8.518215775619e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.260157065178e+01 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.583659215976e+01 9.837047321224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.719182778858e+01 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 1.419381890534e+02 3.896164780910e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.293280207436e+00 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.791760168442e+01 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.895072544921e+01 5.201922721456e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.165767441860e+01 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.643023255814e-01 1.000000000000e-01 1.457209302326e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.921744186047e+01 1.900000000000e+01 0.000000000000e+00 0.000000000000e+00 3.643023255814e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.286046511628e+00 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.36067e+01 3.73500e+00 + 52 JET 3.200000000000e+00 1.406250000000e+03 2.760000000000e+03 3.169662921348e+01 7.290224719101e-01 8.558089887640e-01 2.700000000000e+00 2.775851404707e+00 8.757560262989e+00 6.339325842697e-01 2.000000000000e+00 1.584831460674e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.300334656458e+00 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.460111075886e+00 1.407124727947e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.519981695435e+00 7.950314459190e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.903909688777e+00 6.006662967072e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.607191011236e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.411592932205e+01 4.453448102314e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.078617244183e+00 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.205305743310e+00 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.910231487098e+00 6.026607669328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.745008611321e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.300334656458e+00 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.169662921348e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.584831460674e-01 5.000000000000e-01 1.584831460674e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.838404494382e+00 5.800000000000e+00 0.000000000000e+00 0.000000000000e+00 9.508988764045e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.169662921348e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.34093e+00 4.23050e+00 + 53 JET 3.200000000000e+00 2.756250000000e+03 2.760000000000e+03 2.476923076923e+00 5.696923076923e-02 6.687692307692e-02 2.700000000000e+00 1.861066684125e-01 7.513623258889e+00 2.476923076923e-02 1.000000000000e+00 1.238461538462e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.665237108455e-02 1.883480820184e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.101103735559e-01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.452404027642e-01 9.901010049485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.437202466250e-01 5.802370205356e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.075507550741e-02 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 8.911580611102e-01 3.597843103861e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218233263387e-01 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.991551410400e-02 2.822676035254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.912370696406e-01 7.720751258783e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.953846153846e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.087303842409e-02 3.668787265569e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.256584317296e-02 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 5.449230769231e-02 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.907692307692e-02 4.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733846153846e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.476923076923e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.50535e-01 6.07750e+00 + 54 JET 3.200000000000e+00 4.900000000000e+03 2.760000000000e+03 1.949450549451e-01 7.602857142857e-03 5.263516483516e-03 2.700000000000e+00 1.421010114259e-02 7.289285253528e+00 1.949450549451e-03 1.000000000000e+00 9.747252747253e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.024790992489e-03 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.440708973772e-02 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823231377781e-02 9.352539762011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.423365924068e-02 7.301369734509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.119525895818e-03 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 5.052650905304e-02 2.591833327975e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.200891602663e-02 6.160154218849e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.943308443721e-03 2.535744466621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839934349858e-02 9.438220171198e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.986861078383e-03 1.532155344604e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.949450549451e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.607558105461e-03 8.246211251235e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.891900894610e-03 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 8.577582417582e-03 4.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.618043956044e-02 8.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.754505494505e-03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.949450549451e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.79427e-02 9.20400e+00 + 55 JET 3.200000000000e+00 9.025000000000e+03 2.760000000000e+03 4.981318681319e-03 7.471978021978e-04 1.344956043956e-04 2.700000000000e+00 3.631025280686e-04 7.289285253528e+00 4.981318681319e-05 1.000000000000e+00 2.490659340659e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.248746556107e-05 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.951572554462e-04 1.395528573695e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.949022211970e-04 9.935164819972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.989282425302e-04 1.001598722044e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.266078359737e-04 2.541653005428e+00 0.000000000000e+00 0.000000000000e+00 1.076100313891e-03 2.160271973618e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.138018936706e-04 8.307075297600e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.518281092641e-04 3.047950130826e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.227793949560e-04 1.250229978844e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.866997975946e-04 3.747999466382e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.313948522368e-06 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.030885262153e-05 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.894607212320e-04 1.183342722967e+01 0.000000000000e+00 0.000000000000e+00 1.245329670330e-04 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.295142857143e-04 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 8.966373626374e-05 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.981318681319e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.28891e-04 1.26250e+01 + 56 JET 3.200000000000e+00 1.822500000000e+04 2.760000000000e+03 1.656043956044e-04 1.142670329670e-04 4.471318681319e-06 2.700000000000e+00 1.189867294031e-05 7.184998258584e+00 1.656043956044e-06 1.000000000000e+00 8.280219780220e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.746238219267e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.933261280850e-05 2.375094734953e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.002643178651e-05 1.209293492085e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.124130575688e-05 1.282653499586e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.492111973781e-06 4.524102120863e+00 0.000000000000e+00 0.000000000000e+00 6.004455483417e-05 3.625782674127e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.439450549451e-06 5.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.908801978496e-06 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.147297092577e-05 2.504339982910e+01 0.000000000000e+00 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1.192564102564e+00 2.000000000000e+00 3.97720e+00 6.67000e+00 + 58 JET 4.000000000000e+00 1.406250000000e+03 2.760000000000e+03 1.705128205128e+00 1.091282051282e-01 4.603846153846e-02 2.700000000000e+00 2.630096732846e-01 1.542462745579e+01 1.705128205128e-02 1.000000000000e+00 8.525641025641e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.858746170787e-01 1.090091739259e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.774358974359e-01 2.800000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.005817488444e-01 1.762810256380e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.762182464737e-02 3.965791219921e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.464229583063e-02 5.550450432172e+00 3.081615327118e+00 1.807263124174e+02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.291937057339e-01 7.576773719731e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.849160242400e-01 1.084469916595e+01 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.115384615385e-02 3.000000000000e+00 3.239743589744e-02 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.898717948718e-01 1.700000000000e+01 3.239743589744e-02 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.705128205128e-02 1.000000000000e+00 2.34540e-01 1.37550e+01 + 59 JET 4.000000000000e+00 2.756250000000e+03 2.760000000000e+03 1.170128205128e-02 2.106230769231e-03 3.159346153846e-04 2.700000000000e+00 1.849526844349e-03 1.580618975120e+01 1.170128205128e-04 1.000000000000e+00 5.850641025641e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.989217948718e-03 1.700000000000e+01 2.106230769231e-04 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.170128205128e-04 1.000000000000e+00 3.78361e-03 3.23350e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat index b3aa77fc87..1cda967525 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat @@ -1,91 +1,91 @@ -ATLASR04JETS36PB 91 90 - 1 JET 1.500000000000e-01 6.250000000000e+02 7.000000000000e+03 4.836252525253e+06 4.159177171717e+04 1.692688383838e+05 3.500000000000e+00 5.373613916947e+05 1.111111111111e+01 3.385376767677e+04 7.000000000000e-01 4.836252525253e+04 1.000000000000e+00 1.595963333333e+04 3.300000000000e-01 4.741501044466e+05 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.000000000000e+00 2.893519595960e+02 1.900000000000e-01 2.667258529760e+03 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.116923938581e+04 7.334166619324e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.822996288125e+03 3.823610858861e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.641888378147e+03 5.017967716118e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.993178123518e+02 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.341615070042e+03 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.580446613902e+03 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.872077794125e+03 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.045810101010e+02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.956623383867e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.856456125517e+03 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.066033535354e+03 7.000000000000e-01 1.066033535354e+03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.522905050505e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 4 JET 1.500000000000e-01 4.900000000000e+03 7.000000000000e+03 3.920451515152e+04 4.312496666667e+02 1.372158030303e+03 3.500000000000e+00 1.980026017753e+03 5.050505050505e+00 1.058521909091e+02 2.700000000000e-01 3.920451515152e+02 1.000000000000e+00 5.880677272727e+01 1.500000000000e-01 2.352270909091e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.392118034875e+03 6.101639124039e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.609105840116e+02 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.313643796004e+03 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.734731667069e+02 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.254544484848e+03 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.083019870836e+02 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.569160412845e+03 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.399881195151e+02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.728559039220e+03 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.920451515152e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568180606061e+02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.920451515152e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 5 JET 1.500000000000e-01 9.025000000000e+03 7.000000000000e+03 8.766993939394e+03 5.961555878788e+01 3.068447878788e+02 3.500000000000e+00 3.542219773493e+02 4.040404040404e+00 3.506797575758e+01 4.000000000000e-01 8.766993939394e+01 1.000000000000e+00 8.766993939394e+00 1.000000000000e-01 3.506797575758e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.791526892353e+02 6.606057825965e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.389494920201e+02 3.866199684445e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.849947334662e+02 3.250769139758e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.269207359072e+01 8.291561975888e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.104078545455e+02 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.260196363636e+01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.753398787879e+02 2.000000000000e+00 2.016408606061e+02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.766993939394e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 6 JET 1.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.522905050505e+03 9.442011313131e+00 5.330167676768e+01 3.500000000000e+00 4.614863789409e+01 3.030303030303e+00 5.330167676768e+00 3.500000000000e-01 1.522905050505e+01 1.000000000000e+00 1.066033535354e+00 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.861421142521e+01 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.182354368552e+01 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.102868288940e+01 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.066033535354e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.656081395734e+01 3.057368149242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.688983405842e+01 1.109053650641e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.778750940579e+01 5.107837115649e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.515099706773e+01 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.522905050505e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 7 JET 1.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.587498000000e+02 1.785373620000e+00 9.056243000000e+00 3.500000000000e+00 7.762494000000e+00 3.000000000000e+00 8.797493200000e-01 3.400000000000e-01 2.587498000000e+00 1.000000000000e+00 1.552498800000e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.460304583802e+00 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.963547351838e+00 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.281864838627e+00 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.113073030023e+00 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.600656175281e+00 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.716352002359e+00 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.504758566475e+01 5.815496539419e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.797381513927e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.722517000724e-01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.762494000000e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.164374100000e+01 4.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587498000000e-01 1.000000000000e-01 2.587498000000e-01 1.000000000000e-01 1.034999200000e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587498000000e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 8 JET 1.500000000000e-01 5.522500000000e+04 7.000000000000e+03 6.458558000000e+01 5.867712000000e-01 2.260495300000e+00 3.500000000000e+00 1.937567400000e+00 3.000000000000e+00 2.389666460000e-01 3.700000000000e-01 6.458558000000e-01 1.000000000000e+00 3.229279000000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.553380989240e+00 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.747077019023e+00 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.574087196917e+00 2.437211521391e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.448055825419e-01 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.841255483015e+00 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.415972616299e-01 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072990147476e+00 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.277042456766e+00 3.525620512761e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.643278781380e-01 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.137511749677e+00 6.406246951219e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.291711600000e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.583423200000e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.458558000000e-02 1.000000000000e-01 6.458558000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 9 JET 1.500000000000e-01 8.122500000000e+04 7.000000000000e+03 2.108709000000e+01 1.813387870000e-01 7.380481500000e-01 3.500000000000e+00 6.326127000000e-01 3.000000000000e+00 5.904385200000e-02 2.800000000000e-01 2.108709000000e-01 1.000000000000e+00 1.054354500000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.088541239687e+00 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130843934797e-01 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.227948398415e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.508007121884e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.677342829179e-01 2.218107301282e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.049069481757e-01 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245567122771e+00 5.906775770249e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.341403535164e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.095717337913e-01 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404271955841e+00 6.659391864127e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.217418000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.476096300000e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.108709000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 10 JET 1.500000000000e-01 1.260250000000e+05 7.000000000000e+03 6.071452000000e+00 6.253595560000e-02 2.125008200000e-01 3.500000000000e+00 1.214290400000e-01 2.000000000000e+00 1.578577520000e-02 2.600000000000e-01 6.071452000000e-02 1.000000000000e+00 3.035726000000e-03 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.105621220015e-01 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286517613379e-01 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.497933620771e-02 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.124038787046e-01 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.184711275569e-01 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540234454386e-02 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.765279379109e-01 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.537511048430e-01 4.179413834499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.474547218656e-02 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.103847964323e-01 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071452000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.857161600000e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071452000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 11 JET 1.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.354871000000e+00 2.736839420000e-02 4.742048500000e-02 3.500000000000e+00 2.709742000000e-02 2.000000000000e+00 2.845229100000e-03 2.100000000000e-01 1.354871000000e-02 1.000000000000e+00 6.774355000000e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.987197492667e-03 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.468692450762e-02 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.736705271069e-02 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.802538627923e-02 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783141337478e-03 5.744562646538e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.010401485603e-02 6.650375929224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.983502480653e-02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.740398119500e-03 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.050068729607e-01 7.750322573932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.709742000000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.419484000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.354871000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 12 JET 1.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.534889000000e-01 1.138234258000e-02 1.237211150000e-02 3.500000000000e+00 7.069778000000e-03 2.000000000000e+00 6.716289100000e-04 1.900000000000e-01 3.534889000000e-03 1.000000000000e+00 1.767444500000e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130244700000e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.220437144415e-03 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.544319783641e-03 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.010230212274e-02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.180150376233e-03 1.465435088975e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.262207839817e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.459924658064e-02 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.075298982200e-02 5.870902826653e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960190775030e-03 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.258239713385e-02 9.217374897442e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.060466700000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.474422300000e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.534889000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 13 JET 1.500000000000e-01 4.900000000000e+05 7.000000000000e+03 6.560428000000e-02 3.667320000000e-03 2.296149800000e-03 3.500000000000e+00 1.312085600000e-03 2.000000000000e+00 1.115272760000e-04 1.700000000000e-01 6.560428000000e-04 1.000000000000e+00 1.377689880000e-04 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.755379760000e-03 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.198232909660e-03 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.685082702261e-04 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286830920527e-03 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.965251531714e-04 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.988417177238e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.774599092367e-03 7.277877437825e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.871764297280e-03 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.249647038469e-04 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.369699246633e-03 9.709273917240e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.968128400000e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.592299600000e-04 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.560428000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 14 JET 1.500000000000e-01 8.100000000000e+05 7.000000000000e+03 1.028887000000e-02 1.718241290000e-03 3.601104500000e-04 3.500000000000e+00 2.057774000000e-04 2.000000000000e+00 1.131775700000e-05 1.100000000000e-01 1.028887000000e-04 1.000000000000e+00 2.160662700000e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.895544679926e-04 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.311239865139e-04 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039124933752e-04 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.652637232917e-04 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082778309760e-04 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.520248152983e-05 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.345408947584e-04 8.111103500757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.604546901782e-04 7.391041875135e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.018166505795e-04 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.185454650763e-03 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.144435000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.259983000000e-05 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028887000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 15 JET 1.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.161318000000e-03 4.331716140000e-04 4.064613000000e-05 3.500000000000e+00 2.322636000000e-05 2.000000000000e+00 1.393581600000e-06 1.200000000000e-01 1.161318000000e-05 1.000000000000e+00 2.438767800000e-06 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.846413871694e-05 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.333975717564e-05 5.454126877879e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.434592031995e-06 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.600085800000e-05 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.854109994968e-06 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.927054997484e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.725128219441e-05 8.374216381250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.992734819210e-05 8.604649905720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.690458200000e-05 4.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.749701991332e-04 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.129226000000e-06 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.645272000000e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.161318000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 16 JET 1.500000000000e-01 1.822500000000e+06 7.000000000000e+03 4.074800000000e-04 2.387832800000e-04 1.426180000000e-05 3.500000000000e+00 8.149600000000e-06 2.000000000000e+00 3.259840000000e-07 8.000000000000e-02 4.074800000000e-06 1.000000000000e+00 8.557080000000e-07 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.796483620728e-06 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587658420224e-05 6.350393688583e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.712319474830e-06 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.042663212760e-05 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.786102597034e-06 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.259585907816e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.796567936206e-05 9.317188417114e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.975541193184e-05 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.652518982122e-05 8.963676700997e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.763536693750e-05 1.905255888326e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.037400000000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.222440000000e-05 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e-07 1.000000000000e-01 4.074800000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 17 JET 5.500000000000e-01 6.250000000000e+02 7.000000000000e+03 4.792047959184e+06 2.923149255102e+04 1.677216785714e+05 3.500000000000e+00 5.378829341941e+05 1.122448979592e+01 3.354433571429e+04 7.000000000000e-01 4.792047959184e+04 1.000000000000e+00 1.437614387755e+04 3.000000000000e-01 4.675317576678e+05 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.930063679174e+05 8.201219421525e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.698162530795e+05 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.498195010204e+05 7.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.012660142857e+05 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.006330071429e+05 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.060580622449e+05 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.607145188736e+04 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.740529494035e+04 1.030473192276e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.927277571087e+04 6.559535044498e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.160792978071e+04 8.201676657855e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.697610916630e+04 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.511626262626e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 19 JET 5.500000000000e-01 2.756250000000e+03 7.000000000000e+03 1.533194949495e+05 3.296369141414e+03 5.366182323232e+03 3.500000000000e+00 9.292090603000e+03 6.060606060606e+00 4.292945858586e+02 2.800000000000e-01 1.533194949495e+03 1.000000000000e+00 2.913070404040e+02 1.900000000000e-01 2.737300499705e+03 1.785357107136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.092018035509e+04 7.122499561250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.695729764210e+03 5.671639974469e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.017193937875e+03 4.576843890718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.242870850440e+03 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.493595354459e+03 2.930870177951e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.537889222100e+03 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.319665175952e+03 4.121892769105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.542516188971e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983357325650e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.857440491762e+03 2.515949125082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.755545302475e+02 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.533194949495e+02 1.000000000000e-01 7.665974747475e+02 5.000000000000e-01 1.839833939394e+03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.533194949495e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 20 JET 5.500000000000e-01 4.900000000000e+03 7.000000000000e+03 3.817552525253e+04 3.168568595960e+02 1.336143383838e+03 3.500000000000e+00 1.928056830936e+03 5.050505050505e+00 1.145265757576e+02 3.000000000000e-01 3.817552525253e+02 1.000000000000e+00 6.108084040404e+01 1.600000000000e-01 2.290531515152e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.208496204425e+03 5.785110197740e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823156133902e+03 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.399928314911e+03 3.667083309662e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.627584247531e+02 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134237193189e+03 2.971110903349e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.216933807431e+02 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.633426294893e+03 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.562400707217e+02 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.101394332687e+02 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.594375424511e+02 1.465435088975e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.290531515152e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.817552525253e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 21 JET 5.500000000000e-01 9.025000000000e+03 7.000000000000e+03 8.592065656566e+03 4.811556767677e+01 3.007222979798e+02 3.500000000000e+00 3.471541679420e+02 4.040404040404e+00 3.264984949495e+01 3.800000000000e-01 8.592065656566e+01 1.000000000000e+00 9.451272222222e+00 1.100000000000e-01 3.436826262626e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.983398080808e+02 5.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.181385625325e+02 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.455512552758e+02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.486867316405e+01 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.284180899587e+02 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.519372851342e+01 1.107925990308e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.040098544065e+02 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.929136555484e+01 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.577619696970e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.136692407088e+02 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.577619696970e+01 3.000000000000e-01 6.014445959596e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.592065656566e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 22 JET 5.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.481745454545e+03 6.519680000000e+00 5.186109090909e+01 3.500000000000e+00 4.490137741047e+01 3.030303030303e+00 5.186109090909e+00 3.500000000000e-01 1.481745454545e+01 1.000000000000e+00 1.185396363636e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.152293637489e+01 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.417497256293e+01 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.894248078044e+01 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.185396363636e+01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631788034059e+01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.116237315044e+01 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.353325106957e+01 4.962610200288e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299094124411e+01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481745454545e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.335388318117e+01 4.950505024742e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.926269090909e+01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481745454545e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 23 JET 5.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.479865656566e+02 1.337686868687e+00 8.679529797980e+00 3.500000000000e+00 7.514744413835e+00 3.030303030303e+00 9.671476060606e-01 3.900000000000e-01 2.479865656566e+00 1.000000000000e+00 1.735905959596e-01 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071520077764e+01 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.955028035521e+00 3.611094017054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.978960574680e+00 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.627730704404e+00 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.403319407571e+00 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.228432171337e+00 8.986100377806e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.377330423419e+01 5.554052574472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.556227411343e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130783295729e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568600791538e+01 6.325345840347e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.479865656566e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.735905959596e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.479865656566e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 24 JET 5.500000000000e-01 5.522500000000e+04 7.000000000000e+03 6.173322000000e+01 4.444791840000e-01 2.160662700000e+00 3.500000000000e+00 1.851996600000e+00 3.000000000000e+00 1.851996600000e-01 3.000000000000e-01 6.173322000000e-01 1.000000000000e+00 4.321325400000e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.667418072421e+00 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.237776006074e+00 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.389683205386e+00 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.141647377449e+00 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.176175809103e+00 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.890172628969e+00 6.301587101675e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.018166505795e+00 3.269174207656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.754259602530e+00 7.701298591796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173322000000e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.469328800000e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173322000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 25 JET 5.500000000000e-01 8.122500000000e+04 7.000000000000e+03 1.996652000000e+01 1.357723360000e-01 6.988282000000e-01 3.500000000000e+00 5.989956000000e-01 3.000000000000e+00 4.991630000000e-02 2.500000000000e-01 1.996652000000e-01 1.000000000000e+00 1.397656400000e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.397723649406e-01 3.705064102010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.379856453298e-01 2.694438717061e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.388430805287e-01 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.312745429668e-01 2.660826939130e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631217844486e-01 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.142636333652e-01 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.311535940510e+00 6.568675665612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.237691372781e-01 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.187454063551e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.645997088244e+00 8.243785538210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.993304000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.397656400000e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996652000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 26 JET 5.500000000000e-01 1.260250000000e+05 7.000000000000e+03 5.745468000000e+00 5.285830560000e-02 2.010913800000e-01 3.500000000000e+00 1.149093600000e-01 2.000000000000e+00 1.723640400000e-02 3.000000000000e-01 5.745468000000e-02 1.000000000000e+00 4.021827600000e-03 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.911609678012e-01 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.438663351586e-01 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.801034199948e-02 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.740791473176e-01 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.510441785581e-02 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.051542425524e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.863159715556e-01 6.723838189606e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.442161845320e-01 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.368917143261e-02 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.234055126490e-01 9.109884741313e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745468000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.021827600000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745468000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 27 JET 5.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.212253000000e+00 2.133463410000e-02 4.242885500000e-02 3.500000000000e+00 2.424506000000e-02 2.000000000000e+00 2.909407200000e-03 2.400000000000e-01 1.212253000000e-02 1.000000000000e+00 8.485771000000e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.304351764637e-02 3.550704155516e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290993401146e-02 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.574762840721e-02 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290993401146e-02 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.458486970759e-02 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.636759000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.758419200000e-02 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.336667609272e-02 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.115799702037e-01 9.204346799203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.636759000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.849012000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.212253000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 28 JET 5.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.219092000000e-01 1.039074000000e-02 1.126682200000e-02 3.500000000000e+00 6.438184000000e-03 2.000000000000e+00 6.760093200000e-04 2.100000000000e-01 3.219092000000e-03 1.000000000000e+00 8.047730000000e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.002063578423e-02 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.417894448339e-03 2.304343724361e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.931455200000e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.281355085230e-03 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.251123555104e-03 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.149445756145e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.189455904704e-02 6.801470429253e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.627075076774e-02 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.365745069478e-03 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.387702434497e-02 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.438184000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.287636800000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.219092000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 29 JET 5.500000000000e-01 4.900000000000e+05 7.000000000000e+03 6.723420000000e-02 2.823836400000e-03 2.353197000000e-03 3.500000000000e+00 1.344684000000e-03 2.000000000000e+00 9.412788000000e-05 1.400000000000e-01 6.723420000000e-04 1.000000000000e+00 1.680855000000e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.264854658235e-03 3.368605052540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.815240043465e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.396006250247e-04 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.379120785532e-03 2.051219149677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.815240043465e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.689368000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.941942382464e-03 7.350340128185e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.105692632858e-03 6.106553856309e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.636337190064e-04 1.135781669160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.417711099706e-03 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344684000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.344684000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.723420000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 30 JET 5.500000000000e-01 8.100000000000e+05 7.000000000000e+03 7.945860000000e-03 9.455573400000e-04 2.781051000000e-04 3.500000000000e+00 1.589172000000e-04 2.000000000000e+00 1.032961800000e-05 1.300000000000e-01 7.945860000000e-05 1.000000000000e+00 1.986465000000e-05 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.254375504401e-04 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.553515572195e-04 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.559830564637e-05 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.344701981272e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.879399493055e-05 7.399324293474e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.605224423636e-05 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.777310882943e-04 8.529361054616e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.487247762264e-04 6.905794668248e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.429341928234e-04 3.057368149242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.197164520385e-03 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.972930000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.945860000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.945860000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 31 JET 5.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.405806000000e-03 4.301766360000e-04 4.920321000000e-05 3.500000000000e+00 2.811612000000e-05 2.000000000000e+00 1.968128400000e-06 1.400000000000e-01 1.405806000000e-05 1.000000000000e+00 3.514515000000e-06 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.677747402472e-05 5.461455849863e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.064805111263e-05 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.403751094081e-06 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.924335950484e-05 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.061360254811e-05 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.795571381965e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308891452925e-04 9.310612224768e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.133811081819e-04 8.065203035262e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.865499059174e-05 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478169235281e-04 1.762810256380e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.434836000000e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.092773200000e-05 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405806000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 32 JET 5.500000000000e-01 1.822500000000e+06 7.000000000000e+03 2.393945000000e-04 1.594367370000e-04 8.378807500000e-06 3.500000000000e+00 4.787890000000e-06 2.000000000000e+00 3.590917500000e-07 1.500000000000e-01 2.393945000000e-06 1.000000000000e+00 5.984862500000e-07 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.664566612742e-05 6.953236656407e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.214086557429e-05 5.071488933242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.345577488915e-06 9.797958971133e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.146450971916e-06 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.541981840525e-06 1.061838029080e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.633339500000e-05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286781423900e-05 9.552355730394e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.758236068607e-05 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.277549350058e-05 2.204540768505e+01 0.000000000000e+00 0.000000000000e+00 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5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.433917474747e+03 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.290887878788e+02 3.000000000000e-01 1.430295959596e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 36 JET 1.000000000000e+00 4.900000000000e+03 7.000000000000e+03 3.488275757576e+04 3.453393000000e+02 1.220896515152e+03 3.500000000000e+00 1.761755433119e+03 5.050505050505e+00 1.639489606061e+02 4.700000000000e-01 3.488275757576e+02 1.000000000000e+00 6.278896363636e+01 1.800000000000e-01 0.000000000000e+00 0.000000000000e+00 2.441793030303e+02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 - 37 JET 1.000000000000e+00 9.025000000000e+03 7.000000000000e+03 7.768873737374e+03 5.515385858586e+01 2.719105808081e+02 3.500000000000e+00 3.138938883787e+02 4.040404040404e+00 5.438211616162e+01 7.000000000000e-01 7.768873737374e+01 1.000000000000e+00 9.322648484848e+00 1.200000000000e-01 0.000000000000e+00 0.000000000000e+00 3.538890408455e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.467440163339e+02 5.750434766172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.991520818674e+02 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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8.185352771872e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.213746991615e+01 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.933539796335e+00 2.338803112705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.916226454873e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.364582293368e+01 6.468964368429e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.218858585859e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.531315151515e+00 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.109429292929e-01 1.000000000000e-01 2.109429292929e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 40 JET 1.000000000000e+00 5.522500000000e+04 7.000000000000e+03 5.103687000000e+01 5.093500000000e-01 1.786290450000e+00 3.500000000000e+00 1.531106100000e+00 3.000000000000e+00 2.704954110000e-01 5.300000000000e-01 5.103687000000e-01 1.000000000000e+00 3.062212200000e-02 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.194585410000e+00 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.786290450000e+00 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.051842527054e+00 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 8.165899200000e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.103687000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 41 JET 1.000000000000e+00 8.122500000000e+04 7.000000000000e+03 1.619733000000e+01 1.587338340000e-01 5.669065500000e-01 3.500000000000e+00 4.859199000000e-01 3.000000000000e+00 6.316958700000e-02 3.900000000000e-01 1.619733000000e-01 1.000000000000e+00 9.718398000000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.835536323846e-01 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.144586270723e-01 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.313441458570e-01 1.428285685709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.131906818385e-01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.245430848467e-01 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 2.694556195070e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.058069932335e-02 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.085462834273e+00 6.701492371107e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.913134752093e-01 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.805459850696e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 - 42 JET 1.000000000000e+00 1.260250000000e+05 7.000000000000e+03 4.461906000000e+00 4.729620360000e-02 1.561667100000e-01 3.500000000000e+00 8.923812000000e-02 2.000000000000e+00 2.141714880000e-02 4.800000000000e-01 4.461906000000e-02 1.000000000000e+00 2.677143600000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.351891250445e-01 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.052811280280e-01 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.351666000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 44 JET 1.000000000000e+00 3.025000000000e+05 7.000000000000e+03 2.180018000000e-01 8.000666060000e-03 7.630063000000e-03 3.500000000000e+00 4.360036000000e-03 2.000000000000e+00 8.938073800000e-04 4.100000000000e-01 2.180018000000e-03 1.000000000000e+00 6.104050400000e-04 2.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.200662484823e-03 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.886048600000e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.663852906122e-04 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.125360943386e-03 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.597032507431e-03 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 2.947058605252e-03 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.930454595169e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.602387378556e-02 7.350340128185e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.220810080000e-02 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.526012600000e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.398019800000e-02 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.360036000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.270027000000e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.180018000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 45 JET 1.000000000000e+00 4.900000000000e+05 7.000000000000e+03 4.146109000000e-02 2.761308594000e-03 1.451138150000e-03 3.500000000000e+00 8.292218000000e-04 2.000000000000e+00 1.036527250000e-04 2.500000000000e-01 4.146109000000e-04 1.000000000000e+00 2.114515590000e-04 5.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.538536080809e-03 3.710795063056e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.441371102066e-04 1.071214264281e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.123371537159e-04 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 2.802459935369e-03 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.190921844818e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.604919870737e-03 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.292218000000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.292218000000e-04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.146109000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 46 JET 1.000000000000e+00 8.100000000000e+05 7.000000000000e+03 2.750490000000e-03 6.133592700000e-04 9.626715000000e-05 3.500000000000e+00 5.500980000000e-05 2.000000000000e+00 7.151274000000e-06 2.600000000000e-01 2.750490000000e-05 1.000000000000e+00 2.392926300000e-05 8.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.636657112727e-04 5.950420153233e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.691984457422e-04 1.705872210923e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375245000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.200392000000e-05 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.750490000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 47 JET 1.000000000000e+00 1.210000000000e+06 7.000000000000e+03 4.747142000000e-04 2.928986614000e-04 1.661499700000e-05 3.500000000000e+00 9.494284000000e-06 2.000000000000e+00 1.424142600000e-06 3.000000000000e-01 4.747142000000e-06 1.000000000000e+00 5.886456080000e-06 1.240000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.384399306324e-05 7.129340782990e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.213792402224e-05 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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4.900000000000e+03 7.000000000000e+03 2.775437755102e+04 2.026069561224e+02 9.714032142857e+02 3.500000000000e+00 1.416039670970e+03 5.102040816327e+00 1.332210122449e+02 4.800000000000e-01 2.775437755102e+02 1.000000000000e+00 2.775437755102e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.387718877551e+02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.845770443959e+03 6.650375929224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.498736387755e+03 5.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 3.432317182948e+02 5.653980898447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.912727163162e+02 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.938366265134e+01 1.307669683062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.129020598973e+02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.600407053538e+01 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.978638214507e+01 5.050495025243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.478658484848e+01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.982540351455e+01 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971544646465e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.084349555556e+01 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 55 JET 1.650000000000e+00 3.422500000000e+04 7.000000000000e+03 1.553774747475e+02 1.258557545455e+00 5.438211616162e+00 3.500000000000e+00 4.708408325681e+00 3.030303030303e+00 6.836608888889e-01 4.400000000000e-01 1.553774747475e+00 1.000000000000e+00 7.768873737374e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.265870053483e+00 4.676269881006e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.969407647040e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.465828165114e+00 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 3.754866341270e+00 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.094391193589e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071175285931e+01 6.894019147058e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.215098989899e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.864529696970e+00 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553774747475e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 56 JET 1.650000000000e+00 5.522500000000e+04 7.000000000000e+03 3.477985858586e+01 2.294647474747e-01 1.217295050505e+00 3.500000000000e+00 1.053935108662e+00 3.030303030303e+00 2.017231797980e-01 5.800000000000e-01 3.477985858586e-01 1.000000000000e+00 1.738992929293e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.514721738422e+00 4.355169342287e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.280667845607e-01 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.208657944535e+00 6.350393688583e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.117294498902e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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7.000000000000e+03 9.857723232323e+00 1.261788573737e-01 3.450203131313e-01 3.500000000000e+00 2.987188858280e-01 3.030303030303e+00 4.633129919192e-02 4.700000000000e-01 9.857723232323e-02 1.000000000000e+00 5.914633939394e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.899411792654e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.830986398172e-01 2.871846096155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583384807615e-01 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.915537261511e-01 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.113378152644e-01 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.893606796644e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.122223245601e-02 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.149907982348e-01 7.253102784326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.945552954084e-01 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.707407748534e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.987843690193e-01 9.117565464531e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971544646465e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.871950909091e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e-03 1.000000000000e-01 9.857723232323e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 58 JET 1.650000000000e+00 1.260250000000e+05 7.000000000000e+03 2.393945000000e+00 2.444880000000e-02 8.378807500000e-02 3.500000000000e+00 4.787890000000e-02 2.000000000000e+00 9.096991000000e-03 3.800000000000e-01 2.393945000000e-02 1.000000000000e+00 1.436367000000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.723950765850e-02 3.644173431658e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.472511890040e-02 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.951453616068e-02 1.232882800594e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.779400447434e-02 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.557536750211e-01 6.506150935845e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.039671355193e-02 1.687453703069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.548093439684e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.803420912119e-01 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.140269451895e-01 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.870488096919e-03 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.358582601836e-01 9.852283999155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.590917500000e-02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.393945000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 59 JET 1.650000000000e+00 2.025000000000e+05 7.000000000000e+03 3.983117000000e-01 7.886571660000e-03 1.394090950000e-02 3.500000000000e+00 7.966234000000e-03 2.000000000000e+00 1.832233820000e-03 4.600000000000e-01 3.983117000000e-03 1.000000000000e+00 2.788181900000e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.727497634387e-02 4.337049688440e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.280031524011e-02 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.397833248224e-03 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.294359819126e-02 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.888995700300e-02 7.253102784326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.014374777262e-03 1.509966887054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.422257248901e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.126873693287e-02 7.850318464878e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.117804992625e-02 5.316954015223e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.589235331172e-02 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.593246800000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983117000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983117000000e-04 1.000000000000e-01 3.983117000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 60 JET 1.650000000000e+00 3.025000000000e+05 7.000000000000e+03 7.385575000000e-02 3.484972700000e-03 2.584951250000e-03 3.500000000000e+00 1.477115000000e-03 2.000000000000e+00 3.249653000000e-04 4.400000000000e-01 7.385575000000e-04 1.000000000000e+00 4.283633500000e-04 5.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.956075817112e-03 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179370431310e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.588757180686e-03 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.957874003381e-03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.130917013739e-03 8.301204731845e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.107836250000e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.954230000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.573991537512e-03 8.901123524589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.985536657311e-03 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.828946259741e-04 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.033980500000e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.692787500000e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.862690000000e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.385575000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 61 JET 1.650000000000e+00 4.900000000000e+05 7.000000000000e+03 9.687837000000e-03 8.496233049000e-04 3.390742950000e-04 3.500000000000e+00 1.937567400000e-04 2.000000000000e+00 3.972013170000e-05 4.100000000000e-01 9.687837000000e-05 1.000000000000e+00 6.006458940000e-05 6.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.896672145607e-04 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765207910282e-04 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.417208373813e-04 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.149292155060e-04 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.822888679160e-04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.351965335080e-04 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.971983806128e-05 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.015179466916e-03 1.047890738579e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.787674551649e-04 9.070832376359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996611263928e-04 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765207910282e-03 1.822086715829e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.812702200000e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.034445770000e-04 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.937567400000e-05 2.000000000000e-01 9.687837000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 62 JET 1.650000000000e+00 8.100000000000e+05 7.000000000000e+03 4.950882000000e-04 1.940745744000e-04 1.732808700000e-05 3.500000000000e+00 1.485264600000e-05 3.000000000000e+00 1.881335160000e-06 3.800000000000e-01 4.950882000000e-06 1.000000000000e+00 3.366599760000e-06 6.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.986843556746e-05 8.052794545995e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.470857190197e-05 4.990741427884e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.246510435607e-06 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.228996824481e-05 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.941058400000e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.926065392597e-06 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.886835477906e-06 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.692852720340e-05 1.351850583460e+01 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1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.329874323073e-07 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.668271087797e-07 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.095374656899e-05 1.551612064918e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.883427400000e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 64 JET 2.450000000000e+00 6.250000000000e+02 7.000000000000e+03 2.928762500000e+06 2.020846125000e+04 1.025066875000e+05 3.500000000000e+00 3.050794270833e+05 1.041666666667e+01 3.719528375000e+04 1.270000000000e+00 2.928762500000e+04 1.000000000000e+00 5.857525000000e+02 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.803171511610e+05 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.167284250000e+05 7.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.885645206186e+02 6.285484020619e+02 3.500000000000e+00 9.256972048039e+02 5.154639175258e+00 1.023635969072e+02 5.700000000000e-01 1.795852577320e+02 1.000000000000e+00 3.591705154639e+00 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.180497811803e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.257096804124e+03 7.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.967790713901e+02 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.118845240989e+02 3.128897569432e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.645158782438e+01 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.862187965360e+02 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.645158782438e+01 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.575844897959e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 69 JET 2.450000000000e+00 1.822500000000e+04 7.000000000000e+03 5.176659183673e+02 3.157762102041e+00 1.811830714286e+01 3.500000000000e+00 1.584691586839e+01 3.061224489796e+00 3.416595061224e+00 6.600000000000e-01 5.176659183673e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.313061877551e+01 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.123692489780e+01 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.028566839121e+01 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.070663673469e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.764988775510e+00 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.176659183673e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 70 JET 2.450000000000e+00 3.422500000000e+04 7.000000000000e+03 6.101910101010e+01 5.430699989899e-01 2.135668535354e+00 3.500000000000e+00 1.849063666973e+00 3.030303030303e+00 4.942547181818e-01 8.100000000000e-01 6.101910101010e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.383672836704e+00 5.545268253205e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.863837752592e+00 4.693346354149e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.766463619107e-01 1.272792206136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.209656546469e+00 1.982422760160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.616126246962e+00 7.565051222563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765077038900e+00 2.892663132824e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.001935055229e-01 9.836157786453e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.312436197127e+00 7.067354526271e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.909225168395e+00 3.128897569432e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.000645018410e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.026859312467e+00 8.238173341221e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.271337070707e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.763056161616e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.101910101010e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 71 JET 2.450000000000e+00 5.522500000000e+04 7.000000000000e+03 1.028989898990e+01 1.347976767677e-01 3.601464646465e-01 3.500000000000e+00 3.118151209060e-01 3.030303030303e+00 7.305828282828e-02 7.100000000000e-01 1.028989898990e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071040404040e-01 5.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.941294779091e-01 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.069357671315e-01 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.547139739079e-01 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.623531415891e-01 9.352406107521e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.469575757576e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.727894475432e-02 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.159166196464e-01 8.901123524589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.838441370137e-01 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082886598420e+00 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173939393939e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.955080808081e-01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028989898990e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 72 JET 2.450000000000e+00 8.122500000000e+04 7.000000000000e+03 1.903631313131e+00 3.883407878788e-02 6.662709595960e-02 3.500000000000e+00 5.768579736762e-02 3.030303030303e+00 1.066033535354e-02 5.600000000000e-01 1.903631313131e-02 1.000000000000e+00 4.187988888889e-03 2.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.005146175818e-01 5.280151512978e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.501249467124e-02 3.940494892777e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.748840495975e-02 3.019933774108e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.762405359294e-02 4.077683165720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.756789752725e-01 9.228623949430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.397726363732e-02 2.835489375752e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.601201772031e-02 8.411301920630e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.780378754827e-01 9.352539762011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.025269387551e-01 5.385861119635e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.242965383056e-03 4.330127018922e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.383343363094e-01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.713268181818e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.330167676768e-02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.903631313131e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.903631313131e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 73 JET 2.450000000000e+00 1.260250000000e+05 7.000000000000e+03 2.840012121212e-01 8.718837212121e-03 9.940042424242e-03 3.500000000000e+00 8.606097337006e-03 3.030303030303e+00 2.612811151515e-03 9.200000000000e-01 2.840012121212e-03 1.000000000000e+00 3.692015757576e-04 1.300000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.692847347494e-02 5.960704656330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.332916053483e-02 4.693346354149e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.604814932957e-03 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.539118884571e-02 5.419409561936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.713797750438e-02 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.874314527237e-03 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.941829082781e-03 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.431599702617e-02 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.193392310210e-02 7.723179397114e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.412888190918e-03 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.724588716342e-02 1.663580475961e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.988008484848e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.272009696970e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.840012121212e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 74 JET 2.450000000000e+00 2.025000000000e+05 7.000000000000e+03 1.691042000000e-02 1.943679600000e-03 5.918647000000e-04 3.500000000000e+00 5.073126000000e-04 3.000000000000e+00 1.809414940000e-04 1.070000000000e+00 1.691042000000e-04 1.000000000000e+00 2.367458800000e-05 1.400000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.470987854523e-03 8.698706800439e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.023150285382e-03 6.050413209030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.730846442197e-04 2.206241147291e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.023150285382e-03 6.050413209030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.716215650141e-03 1.606237840421e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.664947092762e-04 2.758622844827e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.211324356185e-04 1.307669683062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.454924758307e-03 1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.779615835843e-03 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.895824600183e-03 2.303801206702e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.029250400000e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.469835200000e-04 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.382084000000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.691042000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 75 JET 2.450000000000e+00 3.025000000000e+05 7.000000000000e+03 3.188531000000e-04 2.914317334000e-04 1.115985850000e-05 3.500000000000e+00 1.275412400000e-05 4.000000000000e+00 -2.231971700000e-07 -7.000000000000e-02 3.188531000000e-06 1.000000000000e+00 5.101649600000e-07 1.600000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.652474400000e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.799500304646e-06 2.132486811214e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.609033700000e-06 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.769529909481e-06 2.123087374556e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.321459482026e-05 1.355313616843e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.230064383767e-05 1.326649916142e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.665238114626e-05 8.358827668998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.144017377398e-05 2.240535650241e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.507384100000e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.550824800000e-05 8.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.782796500000e-06 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.188531000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 76 JET 3.200000000000e+00 6.250000000000e+02 7.000000000000e+03 2.070261290323e+06 1.614803806452e+04 7.245914516129e+04 3.500000000000e+00 2.226087408949e+05 1.075268817204e+01 7.929100741935e+04 3.830000000000e+00 2.070261290323e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.090861412531e+05 1.009950493836e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.594370035981e+05 7.701298591796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.990898284213e+05 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.238817759690e+05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.286219198135e+04 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 7.010670182555e+05 3.386369737639e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.832780016449e+04 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.602801340713e+04 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.016338502137e+04 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.488145148521e+04 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140522580645e+03 2.000000000000e-01 1.242156774194e+04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.898365806452e+05 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 6.210783870968e+03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140522580645e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 77 JET 3.200000000000e+00 1.406250000000e+03 7.000000000000e+03 2.893541489362e+05 4.832214287234e+03 1.012739521277e+04 3.500000000000e+00 2.462588501584e+04 8.510638297872e+00 7.725755776596e+03 2.670000000000e+00 2.893541489362e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.432449168239e+04 4.950505024742e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.333857086094e+04 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996962937467e+04 6.901449123191e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 2.604187340426e+03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.880801968085e+04 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.893541489362e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 78 JET 3.200000000000e+00 2.756250000000e+03 7.000000000000e+03 4.557342105263e+04 1.681659236842e+03 1.595069736842e+03 3.500000000000e+00 2.878321329640e+03 6.315789473684e+00 8.112068947368e+02 1.780000000000e+00 4.557342105263e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.592095500740e+02 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 1.578709614758e+02 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.327900321473e+03 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.879040287207e+02 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 1.367202631579e+02 3.000000000000e-01 9.114684210526e+01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.570418421053e+02 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.557342105263e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 79 JET 3.200000000000e+00 4.900000000000e+03 7.000000000000e+03 9.094019791667e+03 1.536889344792e+02 3.182906927083e+02 3.500000000000e+00 4.736468641493e+02 5.208333333333e+00 3.046496630208e+02 3.350000000000e+00 9.094019791667e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.365813854167e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.307736946145e+02 6.936137253544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.875912869589e+02 5.361669516112e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.683331201135e+02 7.349149610669e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.273504947917e+02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 1.477603320800e+03 1.624807680927e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.052598443303e+02 3.356709698499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.501890515356e+02 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.523989221139e+02 4.974685919734e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.637607916667e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.967004952171e+01 8.760707733968e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.865382754420e+02 2.051219149677e+00 0.000000000000e+00 0.000000000000e+00 2.728205937500e+01 3.000000000000e-01 2.728205937500e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.545983364583e+02 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.094019791667e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 80 JET 3.200000000000e+00 9.025000000000e+03 7.000000000000e+03 1.375770103093e+03 4.691376051546e+01 4.815195360825e+01 3.500000000000e+00 5.673278775640e+01 4.123711340206e+00 5.736961329897e+01 4.170000000000e+00 1.375770103093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.629014276389e+00 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.089641188703e+02 7.920227269466e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.040663962455e+01 5.117616632770e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.135385483082e+02 8.252726822087e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.253386214440e+01 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 1.788501134021e+02 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.931229109503e+01 3.584340943605e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830343076179e+01 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.542530264374e+01 6.936137253544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.100021920694e+01 1.526433752247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.266931072200e+00 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.589214778147e+01 5.516339365920e+00 0.000000000000e+00 0.000000000000e+00 2.751540206186e+00 2.000000000000e-01 9.630390721649e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.026694226804e+01 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375770103093e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375770103093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 81 JET 3.200000000000e+00 1.822500000000e+04 7.000000000000e+03 1.218239175258e+02 1.876088329897e+00 4.263837113402e+00 3.500000000000e+00 3.767750026570e+00 3.092783505155e+00 2.948138804124e+00 2.420000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.650076912315e+00 7.921331958705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.130055574260e+00 5.031898250164e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.640700041850e+00 7.092778017110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583710927835e+00 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.646877339865e+01 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.034928793525e+00 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.177311945855e+00 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.874502389315e+00 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.436478350515e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.529363986128e+00 7.822243923581e+00 0.000000000000e+00 0.000000000000e+00 2.436478350515e-01 2.000000000000e-01 2.436478350515e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.629308865979e+00 3.800000000000e+00 0.000000000000e+00 0.000000000000e+00 3.654717525773e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 82 JET 3.200000000000e+00 3.422500000000e+04 7.000000000000e+03 5.789958163265e+00 2.269653205102e-01 2.026485357143e-01 3.500000000000e+00 1.772436172428e-01 3.061224489796e+00 1.511179080612e-01 2.610000000000e+00 5.789958163265e-02 1.000000000000e+00 9.842928877551e-03 1.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.090802400180e-01 8.792468367870e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.170377889135e-01 7.202777242148e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.421374238028e-01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.924453539563e-01 3.323777970924e+00 0.000000000000e+00 0.000000000000e+00 1.169514221256e+00 2.019900987672e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.256412885307e-01 3.897114317030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.064478540661e-02 1.392838827718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.996033067192e-01 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.740919962495e-01 4.733920151418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.898364735695e-02 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.484807856148e-01 1.465435088975e+01 0.000000000000e+00 0.000000000000e+00 5.789958163265e-02 1.000000000000e+00 2.894979081633e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.531874479592e-01 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.315983265306e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.789958163265e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 83 JET 3.200000000000e+00 5.522500000000e+04 7.000000000000e+03 3.004125510204e-01 2.457364272449e-02 1.051443928571e-02 3.500000000000e+00 1.226173677634e-02 4.081632653061e+00 8.922252765306e-03 2.970000000000e+00 3.004125510204e-03 1.000000000000e+00 5.707838469388e-04 1.900000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.038380664995e-02 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207572386983e-03 7.348469228350e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.205775714286e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.346681636580e-02 7.811529939775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 84 JET 3.200000000000e+00 8.122500000000e+04 7.000000000000e+03 9.435837373737e-03 3.708273797980e-03 3.302543080808e-04 3.500000000000e+00 3.812459544944e-04 4.040404040404e+00 6.388061902020e-04 6.770000000000e+00 9.435837373737e-05 1.000000000000e+00 1.981525848485e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.049988602831e-03 2.172556098240e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.581030797120e-03 1.675559608012e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.368937526823e-03 3.570364127088e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737321908395e-03 1.841195263952e+01 0.000000000000e+00 0.000000000000e+00 4.287599233625e-03 4.543952024395e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.132300484848e-03 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.507164314962e-04 2.657066051117e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.341405748892e-03 3.541186241925e+01 0.000000000000e+00 0.000000000000e+00 6.605086161616e-05 7.000000000000e-01 9.435837373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.284068929293e-04 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 1.509733979798e-04 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.435837373737e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 85 JET 4.000000000000e+00 6.250000000000e+02 7.000000000000e+03 9.270170000000e+05 9.640976800000e+03 3.244559500000e+04 3.500000000000e+00 1.030018888889e+05 1.111111111111e+01 4.347709730000e+04 4.690000000000e+00 9.270170000000e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 1.390525500000e+05 1.500000000000e+01 9.270170000000e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.854034000000e+04 2.000000000000e+00 - 86 JET 4.000000000000e+00 1.406250000000e+03 7.000000000000e+03 9.672052747253e+04 1.092930765934e+03 3.385218461538e+03 3.500000000000e+00 8.502903514068e+03 8.791208791209e+00 7.718298092308e+03 7.980000000000e+00 9.672052747253e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.029467428571e+03 5.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.168678580041e+04 1.208304597359e+01 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7.692307692308e+00 5.308109864835e+02 5.370000000000e+00 9.884748351648e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.430824225908e+02 2.459166525472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.460871265176e+02 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.017621695916e+02 8.111103500757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.17048e+03 2.73850e+00 + 4 JET 1.500000000000e-01 4.900000000000e+03 7.000000000000e+03 3.920451515152e+04 4.312496666667e+02 1.372158030303e+03 3.500000000000e+00 1.980026017753e+03 5.050505050505e+00 1.058521909091e+02 2.700000000000e-01 3.920451515152e+02 1.000000000000e+00 5.880677272727e+01 1.500000000000e-01 2.352270909091e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.392118034875e+03 6.101639124039e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.609105840116e+02 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568180606061e+02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.920451515152e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.43485e+02 2.15150e+00 + 5 JET 1.500000000000e-01 9.025000000000e+03 7.000000000000e+03 8.766993939394e+03 5.961555878788e+01 3.068447878788e+02 3.500000000000e+00 3.542219773493e+02 4.040404040404e+00 3.506797575758e+01 4.000000000000e-01 8.766993939394e+01 1.000000000000e+00 8.766993939394e+00 1.000000000000e-01 3.506797575758e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.791526892353e+02 6.606057825965e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.389494920201e+02 3.866199684445e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.849947334662e+02 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737435948993e+02 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.766993939394e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.79110e+02 2.04300e+00 + 6 JET 1.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.522905050505e+03 9.442011313131e+00 5.330167676768e+01 3.500000000000e+00 4.614863789409e+01 3.030303030303e+00 5.330167676768e+00 3.500000000000e-01 1.522905050505e+01 1.000000000000e+00 1.066033535354e+00 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.861421142521e+01 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.587498000000e+02 1.785373620000e+00 9.056243000000e+00 3.500000000000e+00 7.762494000000e+00 3.000000000000e+00 8.797493200000e-01 3.400000000000e-01 2.587498000000e+00 1.000000000000e+00 1.552498800000e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.460304583802e+00 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.963547351838e+00 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.281864838627e+00 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.797381513927e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.722517000724e-01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.762494000000e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.164374100000e+01 4.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587498000000e-01 1.000000000000e-01 2.587498000000e-01 1.000000000000e-01 1.034999200000e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587498000000e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.04957e+00 2.33800e+00 + 8 JET 1.500000000000e-01 5.522500000000e+04 7.000000000000e+03 6.458558000000e+01 5.867712000000e-01 2.260495300000e+00 3.500000000000e+00 1.937567400000e+00 3.000000000000e+00 2.389666460000e-01 3.700000000000e-01 6.458558000000e-01 1.000000000000e+00 3.229279000000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.553380989240e+00 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.747077019023e+00 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.574087196917e+00 2.437211521391e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.448055825419e-01 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.841255483015e+00 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.415972616299e-01 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072990147476e+00 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.277042456766e+00 3.525620512761e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.643278781380e-01 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.137511749677e+00 6.406246951219e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.291711600000e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.583423200000e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.458558000000e-02 1.000000000000e-01 6.458558000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.71733e+00 2.65900e+00 + 9 JET 1.500000000000e-01 8.122500000000e+04 7.000000000000e+03 2.108709000000e+01 1.813387870000e-01 7.380481500000e-01 3.500000000000e+00 6.326127000000e-01 3.000000000000e+00 5.904385200000e-02 2.800000000000e-01 2.108709000000e-01 1.000000000000e+00 1.054354500000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.088541239687e+00 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130843934797e-01 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.227948398415e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.508007121884e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.677342829179e-01 2.218107301282e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.049069481757e-01 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245567122771e+00 5.906775770249e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.341403535164e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.095717337913e-01 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404271955841e+00 6.659391864127e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.217418000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.476096300000e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.108709000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.84429e-01 2.77150e+00 + 10 JET 1.500000000000e-01 1.260250000000e+05 7.000000000000e+03 6.071452000000e+00 6.253595560000e-02 2.125008200000e-01 3.500000000000e+00 1.214290400000e-01 2.000000000000e+00 1.578577520000e-02 2.600000000000e-01 6.071452000000e-02 1.000000000000e+00 3.035726000000e-03 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.105621220015e-01 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286517613379e-01 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.497933620771e-02 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.124038787046e-01 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.184711275569e-01 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540234454386e-02 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.765279379109e-01 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.537511048430e-01 4.179413834499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.474547218656e-02 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.103847964323e-01 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071452000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.857161600000e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071452000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.87213e-01 3.08350e+00 + 11 JET 1.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.354871000000e+00 2.736839420000e-02 4.742048500000e-02 3.500000000000e+00 2.709742000000e-02 2.000000000000e+00 2.845229100000e-03 2.100000000000e-01 1.354871000000e-02 1.000000000000e+00 6.774355000000e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.987197492667e-03 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.468692450762e-02 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.736705271069e-02 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.802538627923e-02 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783141337478e-03 5.744562646538e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.010401485603e-02 6.650375929224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.983502480653e-02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.740398119500e-03 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.050068729607e-01 7.750322573932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.709742000000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.419484000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.354871000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.49275e-02 3.31600e+00 + 12 JET 1.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.534889000000e-01 1.138234258000e-02 1.237211150000e-02 3.500000000000e+00 7.069778000000e-03 2.000000000000e+00 6.716289100000e-04 1.900000000000e-01 3.534889000000e-03 1.000000000000e+00 1.767444500000e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130244700000e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.220437144415e-03 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.544319783641e-03 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.010230212274e-02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.180150376233e-03 1.465435088975e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.262207839817e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.459924658064e-02 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.075298982200e-02 5.870902826653e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960190775030e-03 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.258239713385e-02 9.217374897442e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.060466700000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.474422300000e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.534889000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.35210e-02 3.82500e+00 + 13 JET 1.500000000000e-01 4.900000000000e+05 7.000000000000e+03 6.560428000000e-02 3.667320000000e-03 2.296149800000e-03 3.500000000000e+00 1.312085600000e-03 2.000000000000e+00 1.115272760000e-04 1.700000000000e-01 6.560428000000e-04 1.000000000000e+00 1.377689880000e-04 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.755379760000e-03 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.198232909660e-03 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.685082702261e-04 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286830920527e-03 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.965251531714e-04 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.988417177238e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.774599092367e-03 7.277877437825e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.871764297280e-03 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.249647038469e-04 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.369699246633e-03 9.709273917240e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.968128400000e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.592299600000e-04 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.560428000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.80786e-03 4.28000e+00 + 14 JET 1.500000000000e-01 8.100000000000e+05 7.000000000000e+03 1.028887000000e-02 1.718241290000e-03 3.601104500000e-04 3.500000000000e+00 2.057774000000e-04 2.000000000000e+00 1.131775700000e-05 1.100000000000e-01 1.028887000000e-04 1.000000000000e+00 2.160662700000e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.895544679926e-04 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.311239865139e-04 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039124933752e-04 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.652637232917e-04 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082778309760e-04 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.520248152983e-05 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.345408947584e-04 8.111103500757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.604546901782e-04 7.391041875135e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.018166505795e-04 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.185454650763e-03 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.144435000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.259983000000e-05 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028887000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.30391e-04 5.15500e+00 + 15 JET 1.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.161318000000e-03 4.331716140000e-04 4.064613000000e-05 3.500000000000e+00 2.322636000000e-05 2.000000000000e+00 1.393581600000e-06 1.200000000000e-01 1.161318000000e-05 1.000000000000e+00 2.438767800000e-06 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.846413871694e-05 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.333975717564e-05 5.454126877879e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.434592031995e-06 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.600085800000e-05 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.854109994968e-06 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.927054997484e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.725128219441e-05 8.374216381250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.992734819210e-05 8.604649905720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.690458200000e-05 4.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.749701991332e-04 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.129226000000e-06 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.645272000000e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.161318000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.79371e-05 5.85000e+00 + 16 JET 1.500000000000e-01 1.822500000000e+06 7.000000000000e+03 4.074800000000e-04 2.387832800000e-04 1.426180000000e-05 3.500000000000e+00 8.149600000000e-06 2.000000000000e+00 3.259840000000e-07 8.000000000000e-02 4.074800000000e-06 1.000000000000e+00 8.557080000000e-07 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.796483620728e-06 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587658420224e-05 6.350393688583e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.712319474830e-06 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.042663212760e-05 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.786102597034e-06 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.259585907816e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.796567936206e-05 9.317188417114e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.975541193184e-05 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.652518982122e-05 8.963676700997e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.763536693750e-05 1.905255888326e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.037400000000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.222440000000e-05 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e-07 1.000000000000e-01 4.074800000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.70159e-05 6.63000e+00 + 17 JET 5.500000000000e-01 6.250000000000e+02 7.000000000000e+03 4.792047959184e+06 2.923149255102e+04 1.677216785714e+05 3.500000000000e+00 5.378829341941e+05 1.122448979592e+01 3.354433571429e+04 7.000000000000e-01 4.792047959184e+04 1.000000000000e+00 1.437614387755e+04 3.000000000000e-01 4.675317576678e+05 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.930063679174e+05 8.201219421525e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.698162530795e+05 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.498195010204e+05 7.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.012660142857e+05 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.006330071429e+05 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.060580622449e+05 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.180645104871e+05 4.550549417378e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.389693908163e+05 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.229662346939e+04 1.300000000000e+00 1.868898704082e+05 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.584095918367e+03 2.000000000000e-01 9.584095918367e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.36008e+05 4.92500e+00 + 18 JET 5.500000000000e-01 1.406250000000e+03 7.000000000000e+03 7.511626262626e+05 8.938835252525e+03 2.629069191919e+04 3.500000000000e+00 5.311250892766e+04 7.070707070707e+00 3.229999292929e+03 4.300000000000e-01 7.511626262626e+03 1.000000000000e+00 1.502325252525e+03 2.000000000000e-01 3.607145188736e+04 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.740529494035e+04 1.030473192276e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.927277571087e+04 6.559535044498e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.160792978071e+04 8.201676657855e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.697610916630e+04 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.802790303030e+04 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403720404040e+04 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.381900656505e+04 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403720404040e+04 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245662293926e+03 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.511626262626e+03 1.000000000000e+00 1.276976464646e+04 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.511626262626e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.69142e+04 3.58300e+00 + 19 JET 5.500000000000e-01 2.756250000000e+03 7.000000000000e+03 1.533194949495e+05 3.296369141414e+03 5.366182323232e+03 3.500000000000e+00 9.292090603000e+03 6.060606060606e+00 4.292945858586e+02 2.800000000000e-01 1.533194949495e+03 1.000000000000e+00 2.913070404040e+02 1.900000000000e-01 2.737300499705e+03 1.785357107136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.092018035509e+04 7.122499561250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.695729764210e+03 5.671639974469e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.017193937875e+03 4.576843890718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.242870850440e+03 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.493595354459e+03 2.930870177951e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.537889222100e+03 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.319665175952e+03 4.121892769105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.542516188971e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983357325650e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.857440491762e+03 2.515949125082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.755545302475e+02 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.533194949495e+02 1.000000000000e-01 7.665974747475e+02 5.000000000000e-01 1.839833939394e+03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.533194949495e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.36194e+03 2.84500e+00 + 20 JET 5.500000000000e-01 4.900000000000e+03 7.000000000000e+03 3.817552525253e+04 3.168568595960e+02 1.336143383838e+03 3.500000000000e+00 1.928056830936e+03 5.050505050505e+00 1.145265757576e+02 3.000000000000e-01 3.817552525253e+02 1.000000000000e+00 6.108084040404e+01 1.600000000000e-01 2.290531515152e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.208496204425e+03 5.785110197740e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823156133902e+03 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.399928314911e+03 3.667083309662e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.627584247531e+02 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134237193189e+03 2.971110903349e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.216933807431e+02 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.633426294893e+03 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.562400707217e+02 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.101394332687e+02 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.594375424511e+02 1.465435088975e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.290531515152e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.817552525253e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.31865e+02 2.44100e+00 + 21 JET 5.500000000000e-01 9.025000000000e+03 7.000000000000e+03 8.592065656566e+03 4.811556767677e+01 3.007222979798e+02 3.500000000000e+00 3.471541679420e+02 4.040404040404e+00 3.264984949495e+01 3.800000000000e-01 8.592065656566e+01 1.000000000000e+00 9.451272222222e+00 1.100000000000e-01 3.436826262626e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.983398080808e+02 5.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.181385625325e+02 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.455512552758e+02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.486867316405e+01 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.284180899587e+02 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.519372851342e+01 1.107925990308e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.040098544065e+02 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.929136555484e+01 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.577619696970e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.136692407088e+02 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.577619696970e+01 3.000000000000e-01 6.014445959596e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.592065656566e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.96372e+02 2.28550e+00 + 22 JET 5.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.481745454545e+03 6.519680000000e+00 5.186109090909e+01 3.500000000000e+00 4.490137741047e+01 3.030303030303e+00 5.186109090909e+00 3.500000000000e-01 1.481745454545e+01 1.000000000000e+00 1.185396363636e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.152293637489e+01 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.417497256293e+01 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.894248078044e+01 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.185396363636e+01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631788034059e+01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.116237315044e+01 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.353325106957e+01 4.962610200288e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299094124411e+01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481745454545e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.335388318117e+01 4.950505024742e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.926269090909e+01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481745454545e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.21687e+01 2.17100e+00 + 23 JET 5.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.479865656566e+02 1.337686868687e+00 8.679529797980e+00 3.500000000000e+00 7.514744413835e+00 3.030303030303e+00 9.671476060606e-01 3.900000000000e-01 2.479865656566e+00 1.000000000000e+00 1.735905959596e-01 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071520077764e+01 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.955028035521e+00 3.611094017054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.978960574680e+00 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.627730704404e+00 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.403319407571e+00 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.228432171337e+00 8.986100377806e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.377330423419e+01 5.554052574472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.556227411343e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130783295729e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568600791538e+01 6.325345840347e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.479865656566e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.735905959596e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.479865656566e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.67889e+00 2.29000e+00 + 24 JET 5.500000000000e-01 5.522500000000e+04 7.000000000000e+03 6.173322000000e+01 4.444791840000e-01 2.160662700000e+00 3.500000000000e+00 1.851996600000e+00 3.000000000000e+00 1.851996600000e-01 3.000000000000e-01 6.173322000000e-01 1.000000000000e+00 4.321325400000e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.667418072421e+00 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.237776006074e+00 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.389683205386e+00 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.141647377449e+00 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.176175809103e+00 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.890172628969e+00 6.301587101675e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.018166505795e+00 3.269174207656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.754259602530e+00 7.701298591796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173322000000e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.469328800000e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173322000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.52049e+00 2.46300e+00 + 25 JET 5.500000000000e-01 8.122500000000e+04 7.000000000000e+03 1.996652000000e+01 1.357723360000e-01 6.988282000000e-01 3.500000000000e+00 5.989956000000e-01 3.000000000000e+00 4.991630000000e-02 2.500000000000e-01 1.996652000000e-01 1.000000000000e+00 1.397656400000e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.397723649406e-01 3.705064102010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.379856453298e-01 2.694438717061e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.388430805287e-01 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.312745429668e-01 2.660826939130e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631217844486e-01 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.142636333652e-01 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.311535940510e+00 6.568675665612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.237691372781e-01 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.187454063551e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.645997088244e+00 8.243785538210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.993304000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.397656400000e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996652000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.47781e-01 2.74350e+00 + 26 JET 5.500000000000e-01 1.260250000000e+05 7.000000000000e+03 5.745468000000e+00 5.285830560000e-02 2.010913800000e-01 3.500000000000e+00 1.149093600000e-01 2.000000000000e+00 1.723640400000e-02 3.000000000000e-01 5.745468000000e-02 1.000000000000e+00 4.021827600000e-03 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.911609678012e-01 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.438663351586e-01 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.801034199948e-02 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.740791473176e-01 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.510441785581e-02 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.051542425524e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.863159715556e-01 6.723838189606e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.442161845320e-01 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.368917143261e-02 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.234055126490e-01 9.109884741313e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745468000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.021827600000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745468000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.73743e-01 3.02400e+00 + 27 JET 5.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.212253000000e+00 2.133463410000e-02 4.242885500000e-02 3.500000000000e+00 2.424506000000e-02 2.000000000000e+00 2.909407200000e-03 2.400000000000e-01 1.212253000000e-02 1.000000000000e+00 8.485771000000e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.304351764637e-02 3.550704155516e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290993401146e-02 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.574762840721e-02 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290993401146e-02 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.458486970759e-02 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.636759000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.758419200000e-02 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.336667609272e-02 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.115799702037e-01 9.204346799203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.636759000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.849012000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.212253000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.01983e-02 3.31600e+00 + 28 JET 5.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.219092000000e-01 1.039074000000e-02 1.126682200000e-02 3.500000000000e+00 6.438184000000e-03 2.000000000000e+00 6.760093200000e-04 2.100000000000e-01 3.219092000000e-03 1.000000000000e+00 8.047730000000e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.002063578423e-02 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.417894448339e-03 2.304343724361e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.931455200000e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.281355085230e-03 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.251123555104e-03 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.149445756145e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.189455904704e-02 6.801470429253e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.627075076774e-02 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.365745069478e-03 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.387702434497e-02 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.438184000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.287636800000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.219092000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.20571e-02 3.74550e+00 + 29 JET 5.500000000000e-01 4.900000000000e+05 7.000000000000e+03 6.723420000000e-02 2.823836400000e-03 2.353197000000e-03 3.500000000000e+00 1.344684000000e-03 2.000000000000e+00 9.412788000000e-05 1.400000000000e-01 6.723420000000e-04 1.000000000000e+00 1.680855000000e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.264854658235e-03 3.368605052540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.815240043465e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.396006250247e-04 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.379120785532e-03 2.051219149677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.815240043465e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.689368000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.941942382464e-03 7.350340128185e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.105692632858e-03 6.106553856309e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.636337190064e-04 1.135781669160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.417711099706e-03 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344684000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.344684000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.723420000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.85409e-03 4.24500e+00 + 30 JET 5.500000000000e-01 8.100000000000e+05 7.000000000000e+03 7.945860000000e-03 9.455573400000e-04 2.781051000000e-04 3.500000000000e+00 1.589172000000e-04 2.000000000000e+00 1.032961800000e-05 1.300000000000e-01 7.945860000000e-05 1.000000000000e+00 1.986465000000e-05 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.254375504401e-04 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.553515572195e-04 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.559830564637e-05 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.344701981272e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.879399493055e-05 7.399324293474e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.605224423636e-05 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.777310882943e-04 8.529361054616e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.487247762264e-04 6.905794668248e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.429341928234e-04 3.057368149242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.197164520385e-03 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.972930000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.945860000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.945860000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.98088e-04 5.01000e+00 + 31 JET 5.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.405806000000e-03 4.301766360000e-04 4.920321000000e-05 3.500000000000e+00 2.811612000000e-05 2.000000000000e+00 1.968128400000e-06 1.400000000000e-01 1.405806000000e-05 1.000000000000e+00 3.514515000000e-06 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.677747402472e-05 5.461455849863e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.064805111263e-05 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.403751094081e-06 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.924335950484e-05 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.061360254811e-05 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.795571381965e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308891452925e-04 9.310612224768e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.133811081819e-04 8.065203035262e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.865499059174e-05 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478169235281e-04 1.762810256380e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.434836000000e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.092773200000e-05 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405806000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.00607e-05 5.69500e+00 + 32 JET 5.500000000000e-01 1.822500000000e+06 7.000000000000e+03 2.393945000000e-04 1.594367370000e-04 8.378807500000e-06 3.500000000000e+00 4.787890000000e-06 2.000000000000e+00 3.590917500000e-07 1.500000000000e-01 2.393945000000e-06 1.000000000000e+00 5.984862500000e-07 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.664566612742e-05 6.953236656407e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.214086557429e-05 5.071488933242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.345577488915e-06 9.797958971133e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.146450971916e-06 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.541981840525e-06 1.061838029080e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.633339500000e-05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286781423900e-05 9.552355730394e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.758236068607e-05 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.277549350058e-05 2.204540768505e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.196972500000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.745468000000e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.393945000000e-07 1.000000000000e-01 2.393945000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.51537e-05 6.33000e+00 + 33 JET 1.000000000000e+00 6.250000000000e+02 7.000000000000e+03 4.074800000000e+06 2.770864000000e+04 1.426180000000e+05 3.500000000000e+00 4.573755102041e+05 1.122448979592e+01 4.156296000000e+04 1.020000000000e+00 4.074800000000e+04 1.000000000000e+00 1.018700000000e+04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 3.708068000000e+05 9.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.069652616372e+05 7.533259586660e+00 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4.67500e+00 + 34 JET 1.000000000000e+00 1.406250000000e+03 7.000000000000e+03 6.923002040816e+05 1.045373308163e+04 2.423050714286e+04 3.500000000000e+00 4.945001457726e+04 7.142857142857e+00 4.984561469388e+03 7.200000000000e-01 6.923002040816e+03 1.000000000000e+00 1.384600408163e+03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.297522600789e+04 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.104767736051e+04 1.026255328853e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.664171930688e+04 6.737210105081e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.198097259102e+04 4.619523784980e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.223997569454e+04 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.148050009613e+03 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.846101428571e+03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.499951326531e+04 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.384600408163e+03 2.000000000000e-01 6.923002040816e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.63939e+04 3.81250e+00 + 35 JET 1.000000000000e+00 2.756250000000e+03 7.000000000000e+03 1.430295959596e+05 3.704466535354e+03 5.006035858586e+03 3.500000000000e+00 8.668460361188e+03 6.060606060606e+00 6.579361414141e+02 4.600000000000e-01 1.430295959596e+03 1.000000000000e+00 3.003621515152e+02 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 2.413558213504e+03 1.687453703069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.076315528750e+04 7.525124583686e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.357139857854e+03 5.842944463197e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.427292733122e+03 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.229610744693e+03 1.558845726812e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.716017907821e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540524237320e+03 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.371877518571e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.151479797980e+02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.433917474747e+03 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.290887878788e+02 3.000000000000e-01 1.430295959596e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.73021e+03 2.60800e+00 + 36 JET 1.000000000000e+00 4.900000000000e+03 7.000000000000e+03 3.488275757576e+04 3.453393000000e+02 1.220896515152e+03 3.500000000000e+00 1.761755433119e+03 5.050505050505e+00 1.639489606061e+02 4.700000000000e-01 3.488275757576e+02 1.000000000000e+00 6.278896363636e+01 1.800000000000e-01 0.000000000000e+00 0.000000000000e+00 2.441793030303e+02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.978424422864e+03 5.671639974469e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 4.908439076383e+02 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.484362782410e+03 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.062806264398e+01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.790620606061e+02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.412450751217e+02 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.488275757576e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.232413636364e+02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.976551515152e+01 2.000000000000e-01 3.488275757576e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.92650e+02 2.55900e+00 + 37 JET 1.000000000000e+00 9.025000000000e+03 7.000000000000e+03 7.768873737374e+03 5.515385858586e+01 2.719105808081e+02 3.500000000000e+00 3.138938883787e+02 4.040404040404e+00 5.438211616162e+01 7.000000000000e-01 7.768873737374e+01 1.000000000000e+00 9.322648484848e+00 1.200000000000e-01 0.000000000000e+00 0.000000000000e+00 3.538890408455e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.467440163339e+02 5.750434766172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.991520818674e+02 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.100471298938e+02 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.592107962255e+01 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.264776177536e+02 4.202380277890e+00 0.000000000000e+00 0.000000000000e+00 2.178057476968e+02 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.084933039592e+01 1.169401556353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.729059393939e+02 4.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.084933039592e+01 1.169401556353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.330662121212e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.991520818674e+02 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553774747475e+01 2.000000000000e-01 2.330662121212e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.087642323232e+02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553774747475e+01 2.000000000000e-01 7.768873737374e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.74411e+02 2.24500e+00 + 38 JET 1.000000000000e+00 1.822500000000e+04 7.000000000000e+03 1.317107070707e+03 6.585535353535e+00 4.609874747475e+01 3.500000000000e+00 3.991233547597e+01 3.030303030303e+00 8.297774545455e+00 6.300000000000e-01 1.317107070707e+01 1.000000000000e+00 1.053685656566e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.578517801302e+01 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.940029508495e+01 3.750666607418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.292767676768e+01 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.199941648430e+01 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.951321212121e+01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.359914063612e+01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.070022842544e+01 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.783740756375e+01 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.246816350730e+01 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.317107070707e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.788853326677e+01 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.634214141414e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.239082020202e+01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.317107070707e+00 1.000000000000e-01 1.317107070707e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.96283e+01 2.24950e+00 + 39 JET 1.000000000000e+00 3.422500000000e+04 7.000000000000e+03 2.109429292929e+02 1.222440000000e+00 7.383002525253e+00 3.500000000000e+00 6.392209978574e+00 3.030303030303e+00 1.328940454545e+00 6.300000000000e-01 2.109429292929e+00 1.000000000000e+00 1.265657575758e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.357881032369e+00 4.436214602564e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.646499337354e+00 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.469800534586e+00 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.353594546613e+00 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.105834174138e+00 3.368605052540e+00 0.000000000000e+00 0.000000000000e+00 4.469800534586e+00 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726642290995e+00 8.185352771872e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.213746991615e+01 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.933539796335e+00 2.338803112705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.916226454873e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.364582293368e+01 6.468964368429e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.218858585859e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.531315151515e+00 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.109429292929e-01 1.000000000000e-01 2.109429292929e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.29889e+00 2.51200e+00 + 40 JET 1.000000000000e+00 5.522500000000e+04 7.000000000000e+03 5.103687000000e+01 5.093500000000e-01 1.786290450000e+00 3.500000000000e+00 1.531106100000e+00 3.000000000000e+00 2.704954110000e-01 5.300000000000e-01 5.103687000000e-01 1.000000000000e+00 3.062212200000e-02 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.194585410000e+00 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.786290450000e+00 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.051842527054e+00 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.723829708922e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.990437930000e+00 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 1.001090514261e+00 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.500285791375e-01 4.898979485566e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.167576929907e+00 6.206448259673e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.659090819858e+00 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.940429782968e+00 7.720751258783e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.103687000000e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.165899200000e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.103687000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.36498e+00 2.67450e+00 + 41 JET 1.000000000000e+00 8.122500000000e+04 7.000000000000e+03 1.619733000000e+01 1.587338340000e-01 5.669065500000e-01 3.500000000000e+00 4.859199000000e-01 3.000000000000e+00 6.316958700000e-02 3.900000000000e-01 1.619733000000e-01 1.000000000000e+00 9.718398000000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.835536323846e-01 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.144586270723e-01 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.313441458570e-01 1.428285685709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.131906818385e-01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.245430848467e-01 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 2.694556195070e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.058069932335e-02 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.085462834273e+00 6.701492371107e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.913134752093e-01 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.805459850696e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.368722305256e+00 8.450295852809e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.457759700000e-01 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.239466000000e-02 2.000000000000e-01 1.619733000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.65511e-01 2.87400e+00 + 42 JET 1.000000000000e+00 1.260250000000e+05 7.000000000000e+03 4.461906000000e+00 4.729620360000e-02 1.561667100000e-01 3.500000000000e+00 8.923812000000e-02 2.000000000000e+00 2.141714880000e-02 4.800000000000e-01 4.461906000000e-02 1.000000000000e+00 2.677143600000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.351891250445e-01 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.052811280280e-01 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.501007165266e-02 1.232882800594e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.263594133121e-01 2.831960451701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731972598341e-01 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 6.659310623326e-02 1.492481155660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.593219117694e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.987395182243e-01 6.695334196289e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.764992632078e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.826113732247e-02 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.052911594950e-01 9.083363914322e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.923812000000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.354287200000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.461906000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.45480e-01 3.26050e+00 + 43 JET 1.000000000000e+00 2.025000000000e+05 7.000000000000e+03 9.351666000000e-01 1.813286000000e-02 3.273083100000e-02 3.500000000000e+00 1.870333200000e-02 2.000000000000e+00 4.021216380000e-03 4.300000000000e-01 9.351666000000e-03 1.000000000000e+00 5.610999600000e-04 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.563463342431e-02 3.810511776652e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.715205937501e-02 2.903446228192e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.597329373133e-03 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.715205937501e-02 2.903446228192e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.123225790088e-02 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 1.277965979210e-02 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.339212671332e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.312720898498e-02 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.267834393060e-02 4.563715591489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.258149340000e-02 9.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.870333200000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.122199920000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.351666000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.40120e-02 3.63700e+00 + 44 JET 1.000000000000e+00 3.025000000000e+05 7.000000000000e+03 2.180018000000e-01 8.000666060000e-03 7.630063000000e-03 3.500000000000e+00 4.360036000000e-03 2.000000000000e+00 8.938073800000e-04 4.100000000000e-01 2.180018000000e-03 1.000000000000e+00 6.104050400000e-04 2.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.200662484823e-03 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.886048600000e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.663852906122e-04 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.125360943386e-03 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.597032507431e-03 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 2.947058605252e-03 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.930454595169e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.602387378556e-02 7.350340128185e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.220810080000e-02 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.526012600000e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.398019800000e-02 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.360036000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.270027000000e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.180018000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.37127e-03 3.84000e+00 + 45 JET 1.000000000000e+00 4.900000000000e+05 7.000000000000e+03 4.146109000000e-02 2.761308594000e-03 1.451138150000e-03 3.500000000000e+00 8.292218000000e-04 2.000000000000e+00 1.036527250000e-04 2.500000000000e-01 4.146109000000e-04 1.000000000000e+00 2.114515590000e-04 5.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.538536080809e-03 3.710795063056e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.441371102066e-04 1.071214264281e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.123371537159e-04 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.536050700000e-04 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.159163639138e-03 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 3.911431407745e-04 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.480457034022e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.337746503665e-03 8.050310553016e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.802459935369e-03 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.190921844818e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.604919870737e-03 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.292218000000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.292218000000e-04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.146109000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.79319e-03 4.32500e+00 + 46 JET 1.000000000000e+00 8.100000000000e+05 7.000000000000e+03 2.750490000000e-03 6.133592700000e-04 9.626715000000e-05 3.500000000000e+00 5.500980000000e-05 2.000000000000e+00 7.151274000000e-06 2.600000000000e-01 2.750490000000e-05 1.000000000000e+00 2.392926300000e-05 8.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.636657112727e-04 5.950420153233e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.812544135869e-05 3.567562192871e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.490674626860e-05 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.351666000000e-05 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.697021124802e-04 6.169886546769e+00 0.000000000000e+00 0.000000000000e+00 2.251373094551e-05 8.185352771872e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134056079221e-05 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.788832748027e-04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.188800816811e-04 7.957857751933e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.004117222053e-04 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.691984457422e-04 1.705872210923e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375245000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.200392000000e-05 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.750490000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.30236e-04 4.73500e+00 + 47 JET 1.000000000000e+00 1.210000000000e+06 7.000000000000e+03 4.747142000000e-04 2.928986614000e-04 1.661499700000e-05 3.500000000000e+00 9.494284000000e-06 2.000000000000e+00 1.424142600000e-06 3.000000000000e-01 4.747142000000e-06 1.000000000000e+00 5.886456080000e-06 1.240000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.384399306324e-05 7.129340782990e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.213792402224e-05 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.632417582605e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.133971016616e-05 4.495275297465e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660843742624e-05 7.711679453919e+00 0.000000000000e+00 0.000000000000e+00 4.370207683854e-06 9.205976319761e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.103846837296e-06 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.551315243027e-05 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.891802570929e-05 1.030473192276e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.876049437260e-05 8.165016840154e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.052967033042e-04 2.218107301282e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.848285200000e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.133113720000e-05 6.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.747142000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.48988e-05 5.24500e+00 + 48 JET 1.000000000000e+00 1.822500000000e+06 7.000000000000e+03 1.039074000000e-04 1.080636960000e-04 3.636759000000e-06 3.500000000000e+00 2.078148000000e-06 2.000000000000e+00 2.701592400000e-07 2.600000000000e-01 1.039074000000e-06 1.000000000000e+00 1.756035060000e-06 1.690000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039074000000e-07 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.041305612690e-05 1.002147693706e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.211972150534e-06 7.903163923392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568967333199e-06 1.509966887054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745055086545e-06 5.529014378712e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.084227788666e-05 1.043455796860e+01 0.000000000000e+00 0.000000000000e+00 1.625578056530e-06 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.565522834350e-05 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404672793158e-05 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.716045732364e-05 1.651514456491e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.190397148421e-05 3.070423423569e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039074000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.871203000000e-06 9.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039074000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.80842e-06 5.59000e+00 + 49 JET 1.650000000000e+00 6.250000000000e+02 7.000000000000e+03 3.885762886598e+06 2.137169587629e+04 1.360017010309e+05 3.500000000000e+00 4.406535232224e+05 1.134020618557e+01 4.274339175258e+04 1.100000000000e+00 3.885762886598e+04 1.000000000000e+00 1.165728865979e+04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.596955227350e+05 9.256754290787e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.805633877481e+04 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.476589896907e+05 3.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.573973812702e+05 4.050617236916e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.89567e+05 4.87850e+00 + 50 JET 1.650000000000e+00 1.406250000000e+03 7.000000000000e+03 5.902158762887e+05 6.905525752577e+03 2.065755567010e+04 3.500000000000e+00 4.259289828887e+04 7.216494845361e+00 4.544662247423e+03 7.700000000000e-01 5.902158762887e+03 1.000000000000e+00 8.853238144330e+02 1.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.744821126764e+04 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.082016381713e+04 1.030473192276e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.871541724335e+04 6.559535044498e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286007123234e+04 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.250645019579e+04 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.892498816501e+04 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.328641355223e+04 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.800642141196e+04 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.567778243978e+04 4.350574674684e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.800642141196e+04 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.180431752577e+03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.311942886598e+03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.774014618557e+04 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.902158762887e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.26141e+04 3.83150e+00 + 51 JET 1.650000000000e+00 2.756250000000e+03 7.000000000000e+03 1.133043877551e+05 2.277314244898e+03 3.965653571429e+03 3.500000000000e+00 6.937003331945e+03 6.122448979592e+00 5.778523775510e+02 5.100000000000e-01 1.133043877551e+03 1.000000000000e+00 1.472957040816e+02 1.300000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.158738519436e+03 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.459217871773e+03 7.465922581972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.667412077137e+03 5.884513573780e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.962489563123e+02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.772589117265e+03 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.221797521936e+04 1.078332045337e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.351110156040e+03 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.109866435505e+03 1.862122444954e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.670285365956e+03 4.121892769105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.266087755102e+02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943734344685e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.012171097085e+03 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943734344685e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.798263265306e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.039478979592e+03 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.133043877551e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.91467e+03 3.45500e+00 + 52 JET 1.650000000000e+00 4.900000000000e+03 7.000000000000e+03 2.775437755102e+04 2.026069561224e+02 9.714032142857e+02 3.500000000000e+00 1.416039670970e+03 5.102040816327e+00 1.332210122449e+02 4.800000000000e-01 2.775437755102e+02 1.000000000000e+00 2.775437755102e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.387718877551e+02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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8.603857040816e+02 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.458013145978e+02 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.359964500000e+03 4.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.210798807622e+01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 7.60470e+02 2.74000e+00 + 53 JET 1.650000000000e+00 9.025000000000e+03 7.000000000000e+03 6.070620408163e+03 6.738388653061e+01 2.124717142857e+02 3.500000000000e+00 2.477804248230e+02 4.081632653061e+00 2.549660571429e+01 4.200000000000e-01 6.070620408163e+01 1.000000000000e+00 4.249434285714e+00 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.428248163265e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.772586552019e+02 6.214499175316e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.551105547782e+02 4.202380277890e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 2.490434566328e+02 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.070620408163e+00 1.000000000000e-01 1.214124081633e+01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.396242693878e+02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.070620408163e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.50096e+02 2.47250e+00 + 54 JET 1.650000000000e+00 1.822500000000e+04 7.000000000000e+03 9.857723232323e+02 6.997131313131e+00 3.450203131313e+01 3.500000000000e+00 2.987188858280e+01 3.030303030303e+00 4.830284383838e+00 4.900000000000e-01 9.857723232323e+00 1.000000000000e+00 4.928861616162e-01 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.570049791628e+01 5.650442460551e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.647357595960e+01 3.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.299757497877e+00 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.886178585859e+00 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.387240608106e+01 4.450561762295e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.365853575758e+01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.900406262626e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.978638214507e+01 5.050495025243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.478658484848e+01 1.500000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.28748e+01 2.32050e+00 + 55 JET 1.650000000000e+00 3.422500000000e+04 7.000000000000e+03 1.553774747475e+02 1.258557545455e+00 5.438211616162e+00 3.500000000000e+00 4.708408325681e+00 3.030303030303e+00 6.836608888889e-01 4.400000000000e-01 1.553774747475e+00 1.000000000000e+00 7.768873737374e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.265870053483e+00 4.676269881006e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.288321961526e+00 8.291561975888e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.488209176027e+00 6.106553856309e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.754866341270e+00 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.094391193589e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071175285931e+01 6.894019147058e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.215098989899e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.864529696970e+00 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553774747475e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.80442e+00 2.44850e+00 + 56 JET 1.650000000000e+00 5.522500000000e+04 7.000000000000e+03 3.477985858586e+01 2.294647474747e-01 1.217295050505e+00 3.500000000000e+00 1.053935108662e+00 3.030303030303e+00 2.017231797980e-01 5.800000000000e-01 3.477985858586e-01 1.000000000000e+00 1.738992929293e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.514721738422e+00 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.221263423054e+00 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.521381616162e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.770915857346e-01 1.946792233393e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.934194836747e+00 5.561249859519e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.955971717172e-01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.280667845607e-01 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.208657944535e+00 6.350393688583e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.117294498902e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.767731672586e+00 7.957857751933e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086791515152e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.521381616162e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.477985858586e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.85661e-01 2.83400e+00 + 57 JET 1.650000000000e+00 8.122500000000e+04 7.000000000000e+03 9.857723232323e+00 1.261788573737e-01 3.450203131313e-01 3.500000000000e+00 2.987188858280e-01 3.030303030303e+00 4.633129919192e-02 4.700000000000e-01 9.857723232323e-02 1.000000000000e+00 5.914633939394e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.899411792654e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.830986398172e-01 2.871846096155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583384807615e-01 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.915537261511e-01 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.113378152644e-01 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.893606796644e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.122223245601e-02 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.149907982348e-01 7.253102784326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.945552954084e-01 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.707407748534e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.987843690193e-01 9.117565464531e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971544646465e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.871950909091e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e-03 1.000000000000e-01 9.857723232323e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.03125e-01 3.07500e+00 + 58 JET 1.650000000000e+00 1.260250000000e+05 7.000000000000e+03 2.393945000000e+00 2.444880000000e-02 8.378807500000e-02 3.500000000000e+00 4.787890000000e-02 2.000000000000e+00 9.096991000000e-03 3.800000000000e-01 2.393945000000e-02 1.000000000000e+00 1.436367000000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.723950765850e-02 3.644173431658e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.472511890040e-02 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.951453616068e-02 1.232882800594e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.779400447434e-02 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.557536750211e-01 6.506150935845e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.039671355193e-02 1.687453703069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.548093439684e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.803420912119e-01 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.140269451895e-01 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.870488096919e-03 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.358582601836e-01 9.852283999155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.590917500000e-02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.393945000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.92755e-02 3.31150e+00 + 59 JET 1.650000000000e+00 2.025000000000e+05 7.000000000000e+03 3.983117000000e-01 7.886571660000e-03 1.394090950000e-02 3.500000000000e+00 7.966234000000e-03 2.000000000000e+00 1.832233820000e-03 4.600000000000e-01 3.983117000000e-03 1.000000000000e+00 2.788181900000e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.727497634387e-02 4.337049688440e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.280031524011e-02 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.397833248224e-03 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.294359819126e-02 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.888995700300e-02 7.253102784326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.014374777262e-03 1.509966887054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.422257248901e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.126873693287e-02 7.850318464878e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.117804992625e-02 5.316954015223e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.589235331172e-02 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.593246800000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983117000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983117000000e-04 1.000000000000e-01 3.983117000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.41918e-02 3.56300e+00 + 60 JET 1.650000000000e+00 3.025000000000e+05 7.000000000000e+03 7.385575000000e-02 3.484972700000e-03 2.584951250000e-03 3.500000000000e+00 1.477115000000e-03 2.000000000000e+00 3.249653000000e-04 4.400000000000e-01 7.385575000000e-04 1.000000000000e+00 4.283633500000e-04 5.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.956075817112e-03 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179370431310e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.588757180686e-03 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.957874003381e-03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.130917013739e-03 8.301204731845e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.107836250000e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.954230000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.573991537512e-03 8.901123524589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.985536657311e-03 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.828946259741e-04 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.033980500000e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.692787500000e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.862690000000e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.385575000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.72048e-03 3.68350e+00 + 61 JET 1.650000000000e+00 4.900000000000e+05 7.000000000000e+03 9.687837000000e-03 8.496233049000e-04 3.390742950000e-04 3.500000000000e+00 1.937567400000e-04 2.000000000000e+00 3.972013170000e-05 4.100000000000e-01 9.687837000000e-05 1.000000000000e+00 6.006458940000e-05 6.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.896672145607e-04 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765207910282e-04 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.417208373813e-04 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.149292155060e-04 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.822888679160e-04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.351965335080e-04 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.971983806128e-05 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.015179466916e-03 1.047890738579e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.787674551649e-04 9.070832376359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996611263928e-04 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765207910282e-03 1.822086715829e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.812702200000e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.034445770000e-04 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.937567400000e-05 2.000000000000e-01 9.687837000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.78794e-04 3.91000e+00 + 62 JET 1.650000000000e+00 8.100000000000e+05 7.000000000000e+03 4.950882000000e-04 1.940745744000e-04 1.732808700000e-05 3.500000000000e+00 1.485264600000e-05 3.000000000000e+00 1.881335160000e-06 3.800000000000e-01 4.950882000000e-06 1.000000000000e+00 3.366599760000e-06 6.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.986843556746e-05 8.052794545995e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.470857190197e-05 4.990741427884e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.246510435607e-06 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.228996824481e-05 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.941058400000e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.926065392597e-06 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.886835477906e-06 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.692852720340e-05 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.210200579637e-05 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.650803198896e-05 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.147280780557e-04 2.317326045251e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.445970200000e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.930843980000e-05 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.485264600000e-06 3.000000000000e-01 4.950882000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.01377e-05 4.06750e+00 + 63 JET 1.650000000000e+00 1.210000000000e+06 7.000000000000e+03 7.059591000000e-05 7.271378730000e-05 2.470856850000e-06 3.500000000000e+00 2.117877300000e-06 3.000000000000e+00 1.058938650000e-07 1.500000000000e-01 7.059591000000e-07 1.000000000000e+00 5.435885070000e-07 7.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.059591000000e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.074530903257e-06 8.604649905720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.765485384160e-06 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.547396780993e-06 7.857957749950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.208013694549e-06 5.960704656330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024857143076e-05 1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.329874323073e-07 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.668271087797e-07 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.095374656899e-05 1.551612064918e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.883427400000e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.133862108701e-06 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.181345078205e-05 3.089902911096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.623705930000e-06 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.494823720000e-06 9.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.529795500000e-07 5.000000000000e-01 7.059591000000e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.89584e-06 4.10200e+00 + 64 JET 2.450000000000e+00 6.250000000000e+02 7.000000000000e+03 2.928762500000e+06 2.020846125000e+04 1.025066875000e+05 3.500000000000e+00 3.050794270833e+05 1.041666666667e+01 3.719528375000e+04 1.270000000000e+00 2.928762500000e+04 1.000000000000e+00 5.857525000000e+02 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.803171511610e+05 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.167284250000e+05 7.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.803171511610e+05 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971006488262e+04 4.563715591489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.379069939996e+04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.713246748070e+04 6.282316451756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.890828842262e+04 4.378070351194e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.984378101273e+03 2.080264406271e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.079499920641e+05 2.499499949990e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.952146098609e+03 2.304343724361e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344408875324e+04 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.861124534129e+04 4.309292285283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.320435583321e+04 3.057368149242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.162024944227e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.023204479167e+03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.202620406250e+04 5.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.318863541667e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.64354e+04 3.80550e+00 + 66 JET 2.450000000000e+00 2.756250000000e+03 7.000000000000e+03 8.401649484536e+04 2.386068453608e+03 2.940577319588e+03 3.500000000000e+00 5.196896588373e+03 6.185567010309e+00 4.620907216495e+02 5.500000000000e-01 8.401649484536e+02 1.000000000000e+00 1.680329896907e+01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.946936117359e+03 2.317326045251e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.412831060611e+03 7.632823854905e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.278182077859e+03 6.282316451756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913566739603e+03 2.277608394786e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.527968796333e+03 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.231207195991e+04 1.465435088975e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.617690268628e+03 3.115686120263e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.412824427343e+03 2.871846096155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.182812566190e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.680329896907e+02 2.000000000000e-01 8.401649484536e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344263917526e+03 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.401649484536e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.38607e+03 2.84000e+00 + 67 JET 2.450000000000e+00 4.900000000000e+03 7.000000000000e+03 1.795852577320e+04 1.885645206186e+02 6.285484020619e+02 3.500000000000e+00 9.256972048039e+02 5.154639175258e+00 1.023635969072e+02 5.700000000000e-01 1.795852577320e+02 1.000000000000e+00 3.591705154639e+00 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.180497811803e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.257096804124e+03 7.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.967790713901e+02 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.591705154639e+01 2.000000000000e-01 5.387557731959e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.436682061856e+02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.795852577320e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.51837e+02 2.51600e+00 + 68 JET 2.450000000000e+00 9.025000000000e+03 7.000000000000e+03 3.575844897959e+03 2.144467448980e+01 1.251545714286e+02 3.500000000000e+00 1.459528529779e+02 4.081632653061e+00 2.789159020408e+01 7.800000000000e-01 3.575844897959e+01 1.000000000000e+00 7.151689795918e-01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.072753469388e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.235046090444e+02 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.509497933766e+02 4.221374183841e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.204298836142e+01 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.557920750511e+01 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.413827741189e+02 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.118845240989e+02 3.128897569432e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.645158782438e+01 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.862187965360e+02 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.645158782438e+01 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.290317564877e+00 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.473924922834e+02 4.121892769105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.072753469388e+01 3.000000000000e-01 3.575844897959e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.933429387755e+01 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.575844897959e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.36569e+01 2.33950e+00 + 69 JET 2.450000000000e+00 1.822500000000e+04 7.000000000000e+03 5.176659183673e+02 3.157762102041e+00 1.811830714286e+01 3.500000000000e+00 1.584691586839e+01 3.061224489796e+00 3.416595061224e+00 6.600000000000e-01 5.176659183673e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.313061877551e+01 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.123692489780e+01 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.254981090596e+00 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.228169498973e+00 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.183855824305e+01 6.150406490631e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405346178846e+01 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.415359523424e+00 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.033871200197e+01 5.860674022670e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.346701503244e+00 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.176659183673e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.028566839121e+01 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.070663673469e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.764988775510e+00 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.176659183673e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.25353e+01 2.42150e+00 + 70 JET 2.450000000000e+00 3.422500000000e+04 7.000000000000e+03 6.101910101010e+01 5.430699989899e-01 2.135668535354e+00 3.500000000000e+00 1.849063666973e+00 3.030303030303e+00 4.942547181818e-01 8.100000000000e-01 6.101910101010e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.383672836704e+00 5.545268253205e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.863837752592e+00 4.693346354149e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.766463619107e-01 1.272792206136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.209656546469e+00 1.982422760160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.616126246962e+00 7.565051222563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765077038900e+00 2.892663132824e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.001935055229e-01 9.836157786453e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.312436197127e+00 7.067354526271e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.909225168395e+00 3.128897569432e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.000645018410e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.026859312467e+00 8.238173341221e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.271337070707e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.763056161616e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.101910101010e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.73050e+00 2.83600e+00 + 71 JET 2.450000000000e+00 5.522500000000e+04 7.000000000000e+03 1.028989898990e+01 1.347976767677e-01 3.601464646465e-01 3.500000000000e+00 3.118151209060e-01 3.030303030303e+00 7.305828282828e-02 7.100000000000e-01 1.028989898990e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071040404040e-01 5.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.941294779091e-01 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.069357671315e-01 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.547139739079e-01 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.623531415891e-01 9.352406107521e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.469575757576e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.727894475432e-02 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.159166196464e-01 8.901123524589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.838441370137e-01 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082886598420e+00 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173939393939e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.955080808081e-01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028989898990e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.17289e-01 3.08350e+00 + 72 JET 2.450000000000e+00 8.122500000000e+04 7.000000000000e+03 1.903631313131e+00 3.883407878788e-02 6.662709595960e-02 3.500000000000e+00 5.768579736762e-02 3.030303030303e+00 1.066033535354e-02 5.600000000000e-01 1.903631313131e-02 1.000000000000e+00 4.187988888889e-03 2.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.005146175818e-01 5.280151512978e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.501249467124e-02 3.940494892777e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.748840495975e-02 3.019933774108e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.762405359294e-02 4.077683165720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.756789752725e-01 9.228623949430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.397726363732e-02 2.835489375752e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.601201772031e-02 8.411301920630e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.780378754827e-01 9.352539762011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.025269387551e-01 5.385861119635e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.242965383056e-03 4.330127018922e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.383343363094e-01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.713268181818e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.330167676768e-02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.903631313131e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.903631313131e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.93731e-02 3.64425e+00 + 73 JET 2.450000000000e+00 1.260250000000e+05 7.000000000000e+03 2.840012121212e-01 8.718837212121e-03 9.940042424242e-03 3.500000000000e+00 8.606097337006e-03 3.030303030303e+00 2.612811151515e-03 9.200000000000e-01 2.840012121212e-03 1.000000000000e+00 3.692015757576e-04 1.300000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.692847347494e-02 5.960704656330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.332916053483e-02 4.693346354149e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.604814932957e-03 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.539118884571e-02 5.419409561936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.713797750438e-02 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.874314527237e-03 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.941829082781e-03 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.431599702617e-02 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.193392310210e-02 7.723179397114e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.412888190918e-03 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.724588716342e-02 1.663580475961e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.988008484848e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.272009696970e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.840012121212e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.28937e-02 4.54000e+00 + 74 JET 2.450000000000e+00 2.025000000000e+05 7.000000000000e+03 1.691042000000e-02 1.943679600000e-03 5.918647000000e-04 3.500000000000e+00 5.073126000000e-04 3.000000000000e+00 1.809414940000e-04 1.070000000000e+00 1.691042000000e-04 1.000000000000e+00 2.367458800000e-05 1.400000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.470987854523e-03 8.698706800439e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.023150285382e-03 6.050413209030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.730846442197e-04 2.206241147291e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.023150285382e-03 6.050413209030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.716215650141e-03 1.606237840421e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.664947092762e-04 2.758622844827e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.211324356185e-04 1.307669683062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.454924758307e-03 1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.779615835843e-03 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.895824600183e-03 2.303801206702e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.029250400000e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.469835200000e-04 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.382084000000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.691042000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.04845e-03 6.20000e+00 + 75 JET 2.450000000000e+00 3.025000000000e+05 7.000000000000e+03 3.188531000000e-04 2.914317334000e-04 1.115985850000e-05 3.500000000000e+00 1.275412400000e-05 4.000000000000e+00 -2.231971700000e-07 -7.000000000000e-02 3.188531000000e-06 1.000000000000e+00 5.101649600000e-07 1.600000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.652474400000e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.799500304646e-06 2.132486811214e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.609033700000e-06 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.769529909481e-06 2.123087374556e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.321459482026e-05 1.355313616843e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.230064383767e-05 1.326649916142e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.665238114626e-05 8.358827668998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.144017377398e-05 2.240535650241e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.507384100000e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.550824800000e-05 8.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.782796500000e-06 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.188531000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.04170e-05 9.53950e+00 + 76 JET 3.200000000000e+00 6.250000000000e+02 7.000000000000e+03 2.070261290323e+06 1.614803806452e+04 7.245914516129e+04 3.500000000000e+00 2.226087408949e+05 1.075268817204e+01 7.929100741935e+04 3.830000000000e+00 2.070261290323e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.090861412531e+05 1.009950493836e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.594370035981e+05 7.701298591796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.990898284213e+05 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.238817759690e+05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.286219198135e+04 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 7.010670182555e+05 3.386369737639e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.832780016449e+04 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.602801340713e+04 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.016338502137e+04 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.488145148521e+04 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140522580645e+03 2.000000000000e-01 1.242156774194e+04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.898365806452e+05 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 6.210783870968e+03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140522580645e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.94663e+04 4.32150e+00 + 77 JET 3.200000000000e+00 1.406250000000e+03 7.000000000000e+03 2.893541489362e+05 4.832214287234e+03 1.012739521277e+04 3.500000000000e+00 2.462588501584e+04 8.510638297872e+00 7.725755776596e+03 2.670000000000e+00 2.893541489362e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.432449168239e+04 4.950505024742e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.333857086094e+04 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996962937467e+04 6.901449123191e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.795938272969e+04 9.662685961988e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.092128627681e+03 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 1.033099673386e+05 3.570364127088e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.670614217209e+03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.013565910252e+04 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.433617680042e+04 4.954543369474e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.000157125828e+04 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.893541489362e+02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.604187340426e+03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.880801968085e+04 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.893541489362e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.66443e+03 3.34000e+00 + 78 JET 3.200000000000e+00 2.756250000000e+03 7.000000000000e+03 4.557342105263e+04 1.681659236842e+03 1.595069736842e+03 3.500000000000e+00 2.878321329640e+03 6.315789473684e+00 8.112068947368e+02 1.780000000000e+00 4.557342105263e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.592095500740e+02 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.912618206393e+03 8.585307216402e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.155116104673e+03 6.923149572268e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.266298306464e+03 7.167112389240e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.031704664428e+02 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 1.123733739600e+04 2.465765601188e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.625860139471e+03 3.567562192871e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.929882685020e+02 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.312486277777e+03 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.184032211068e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.578709614758e+02 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.327900321473e+03 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.879040287207e+02 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 1.367202631579e+02 3.000000000000e-01 9.114684210526e+01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.570418421053e+02 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.557342105263e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.19858e+03 2.63000e+00 + 79 JET 3.200000000000e+00 4.900000000000e+03 7.000000000000e+03 9.094019791667e+03 1.536889344792e+02 3.182906927083e+02 3.500000000000e+00 4.736468641493e+02 5.208333333333e+00 3.046496630208e+02 3.350000000000e+00 9.094019791667e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.365813854167e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.307736946145e+02 6.936137253544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.875912869589e+02 5.361669516112e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.683331201135e+02 7.349149610669e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.273504947917e+02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 1.477603320800e+03 1.624807680927e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.052598443303e+02 3.356709698499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.501890515356e+02 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.523989221139e+02 4.974685919734e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.637607916667e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.967004952171e+01 8.760707733968e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.865382754420e+02 2.051219149677e+00 0.000000000000e+00 0.000000000000e+00 2.728205937500e+01 3.000000000000e-01 2.728205937500e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.545983364583e+02 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.094019791667e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.09435e+02 2.30300e+00 + 80 JET 3.200000000000e+00 9.025000000000e+03 7.000000000000e+03 1.375770103093e+03 4.691376051546e+01 4.815195360825e+01 3.500000000000e+00 5.673278775640e+01 4.123711340206e+00 5.736961329897e+01 4.170000000000e+00 1.375770103093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.629014276389e+00 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.089641188703e+02 7.920227269466e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.040663962455e+01 5.117616632770e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.135385483082e+02 8.252726822087e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.253386214440e+01 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 1.788501134021e+02 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.931229109503e+01 3.584340943605e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830343076179e+01 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.542530264374e+01 6.936137253544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.100021920694e+01 1.526433752247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.266931072200e+00 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.589214778147e+01 5.516339365920e+00 0.000000000000e+00 0.000000000000e+00 2.751540206186e+00 2.000000000000e-01 9.630390721649e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.026694226804e+01 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375770103093e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375770103093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.08053e+01 2.96600e+00 + 81 JET 3.200000000000e+00 1.822500000000e+04 7.000000000000e+03 1.218239175258e+02 1.876088329897e+00 4.263837113402e+00 3.500000000000e+00 3.767750026570e+00 3.092783505155e+00 2.948138804124e+00 2.420000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.650076912315e+00 7.921331958705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.130055574260e+00 5.031898250164e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.640700041850e+00 7.092778017110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583710927835e+00 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.646877339865e+01 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.034928793525e+00 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.177311945855e+00 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.874502389315e+00 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.436478350515e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.529363986128e+00 7.822243923581e+00 0.000000000000e+00 0.000000000000e+00 2.436478350515e-01 2.000000000000e-01 2.436478350515e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.629308865979e+00 3.800000000000e+00 0.000000000000e+00 0.000000000000e+00 3.654717525773e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.87783e+00 4.00400e+00 + 82 JET 3.200000000000e+00 3.422500000000e+04 7.000000000000e+03 5.789958163265e+00 2.269653205102e-01 2.026485357143e-01 3.500000000000e+00 1.772436172428e-01 3.061224489796e+00 1.511179080612e-01 2.610000000000e+00 5.789958163265e-02 1.000000000000e+00 9.842928877551e-03 1.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.090802400180e-01 8.792468367870e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.170377889135e-01 7.202777242148e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.421374238028e-01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.924453539563e-01 3.323777970924e+00 0.000000000000e+00 0.000000000000e+00 1.169514221256e+00 2.019900987672e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.256412885307e-01 3.897114317030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.064478540661e-02 1.392838827718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.996033067192e-01 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.740919962495e-01 4.733920151418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.898364735695e-02 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.484807856148e-01 1.465435088975e+01 0.000000000000e+00 0.000000000000e+00 5.789958163265e-02 1.000000000000e+00 2.894979081633e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.531874479592e-01 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.315983265306e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.789958163265e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.71628e-01 6.41850e+00 + 83 JET 3.200000000000e+00 5.522500000000e+04 7.000000000000e+03 3.004125510204e-01 2.457364272449e-02 1.051443928571e-02 3.500000000000e+00 1.226173677634e-02 4.081632653061e+00 8.922252765306e-03 2.970000000000e+00 3.004125510204e-03 1.000000000000e+00 5.707838469388e-04 1.900000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.539285845206e-02 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.093155573554e-02 6.967603605258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.961356709217e-02 1.651514456491e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.315227282749e-02 4.378070351194e+00 0.000000000000e+00 0.000000000000e+00 7.510313775510e-02 2.500000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.038380664995e-02 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207572386983e-03 7.348469228350e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.205775714286e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.346681636580e-02 7.811529939775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.261509500481e-02 1.751427988814e+01 0.000000000000e+00 0.000000000000e+00 3.304538061224e-03 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.905363163265e-02 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 9.012376530612e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.004125510204e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.00863e-02 1.00150e+01 + 84 JET 3.200000000000e+00 8.122500000000e+04 7.000000000000e+03 9.435837373737e-03 3.708273797980e-03 3.302543080808e-04 3.500000000000e+00 3.812459544944e-04 4.040404040404e+00 6.388061902020e-04 6.770000000000e+00 9.435837373737e-05 1.000000000000e+00 1.981525848485e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.049988602831e-03 2.172556098240e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.581030797120e-03 1.675559608012e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.368937526823e-03 3.570364127088e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737321908395e-03 1.841195263952e+01 0.000000000000e+00 0.000000000000e+00 4.287599233625e-03 4.543952024395e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.132300484848e-03 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.507164314962e-04 2.657066051117e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.184507743573e-03 3.374907406137e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.270490709084e-03 2.406241883103e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.752209097657e-04 2.916761903207e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.341405748892e-03 3.541186241925e+01 0.000000000000e+00 0.000000000000e+00 6.605086161616e-05 7.000000000000e-01 9.435837373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.284068929293e-04 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 1.509733979798e-04 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.435837373737e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.52389e-03 1.61500e+01 + 85 JET 4.000000000000e+00 6.250000000000e+02 7.000000000000e+03 9.270170000000e+05 9.640976800000e+03 3.244559500000e+04 3.500000000000e+00 1.030018888889e+05 1.111111111111e+01 4.347709730000e+04 4.690000000000e+00 9.270170000000e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028111588056e+05 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.111663607676e+04 8.750285709621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.755725365164e+04 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.106198676693e+04 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.266292978378e+04 4.602173399602e+00 5.534221613906e+05 5.969924622640e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086818014689e+04 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364862276231e+04 4.708502946797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.685564303367e+04 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.920839185117e+04 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.781051000000e+03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.390525500000e+05 1.500000000000e+01 9.270170000000e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.854034000000e+04 2.000000000000e+00 3.14166e+04 3.38900e+00 + 86 JET 4.000000000000e+00 1.406250000000e+03 7.000000000000e+03 9.672052747253e+04 1.092930765934e+03 3.385218461538e+03 3.500000000000e+00 8.502903514068e+03 8.791208791209e+00 7.718298092308e+03 7.980000000000e+00 9.672052747253e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.029467428571e+03 5.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.168678580041e+04 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.318076063609e+03 7.566207768757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.035731606207e+03 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.337357160082e+03 2.416609194719e+00 6.695932149280e+04 6.922969016253e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.757383328120e+03 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.337558997599e+03 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.175000165125e+03 5.350467269314e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.434259788204e+03 3.550704155516e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.770436923077e+02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.255703208791e+03 4.400000000000e+00 4.836026373626e+02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.672052747253e+02 1.000000000000e+00 3.90896e+03 4.04150e+00 + 87 JET 4.000000000000e+00 2.756250000000e+03 7.000000000000e+03 9.884748351648e+03 1.927525928571e+02 3.459661923077e+02 3.500000000000e+00 7.603652578191e+02 7.692307692308e+00 5.308109864835e+02 5.370000000000e+00 9.884748351648e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.430824225908e+02 2.459166525472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.460871265176e+02 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.017621695916e+02 8.111103500757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.784737781636e+02 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.430824225908e+02 2.459166525472e+00 4.988616167710e+03 5.046781152378e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.008810847958e+02 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.529317628757e+02 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.858746300734e+02 5.927056605095e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.421258969736e+01 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.424177273018e+01 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.312128283444e+02 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.093368115473e+01 6.164414002969e-01 1.976949670330e+01 2.000000000000e-01 6.919323846154e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.884748351648e+01 1.000000000000e+00 3.953899340659e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.884748351648e+01 1.000000000000e+00 3.71568e+02 3.75900e+00 + 88 JET 4.000000000000e+00 4.900000000000e+03 7.000000000000e+03 1.018700000000e+03 2.831875271739e+01 3.565450000000e+01 3.500000000000e+00 6.643695652174e+01 6.521739130435e+00 5.500980000000e+01 5.400000000000e+00 1.018700000000e+01 1.000000000000e+00 2.037400000000e-01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.168300000000e+00 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.072057732436e+02 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.819112477527e+01 8.657222418305e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.533984255451e+01 2.487468592767e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.494995713491e+01 4.412482294582e+00 3.668734588288e+02 3.601388621074e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.240732798775e+01 6.126173356999e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.315082083011e+01 3.254228019055e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.567987690853e+01 8.410707461326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.610396579226e+00 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.173717476003e+01 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.462266484296e+01 4.380353866984e+00 0.000000000000e+00 0.000000000000e+00 1.833660000000e+01 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.139270000000e+01 2.100000000000e+00 4.074800000000e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.018700000000e+01 1.000000000000e+00 7.66572e+01 7.52500e+00 + 89 JET 4.000000000000e+00 9.025000000000e+03 7.000000000000e+03 5.957180434783e+01 2.347118018478e+00 2.085013152174e+00 3.500000000000e+00 3.885117674858e+00 6.521739130435e+00 3.967482169565e+00 6.660000000000e+00 5.957180434783e-01 1.000000000000e+00 1.191436086957e-02 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.574308260870e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.744334565217e+00 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.414811589782e+00 9.089554444526e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086675277084e+00 1.824143634695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.491676077616e+00 2.503996805110e+00 1.643361403815e+01 2.758622844827e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.020434830054e+00 6.748888797424e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.742920735865e+00 2.925747767666e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.863695674887e+00 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.012037140665e+00 3.377499074759e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.574308260870e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.040225517063e+00 1.013940333550e+01 5.957180434783e-01 1.000000000000e+00 1.191436086957e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.991310891304e+00 6.700000000000e+00 4.170026304348e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.957180434783e-01 1.000000000000e+00 6.31759e+00 1.06050e+01 + 90 JET 4.000000000000e+00 1.822500000000e+04 7.000000000000e+03 6.001471739130e-01 9.411902173913e-02 2.100515108696e-02 3.500000000000e+00 3.261669423440e-02 5.434782608696e+00 5.125256865217e-02 8.540000000000e+00 6.001471739130e-03 1.000000000000e+00 1.200294347826e-04 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.639791005608e-02 1.606237840421e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.251605893314e-02 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542681783478e-01 2.570505786805e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.395475509806e-02 5.657738063926e+00 1.617894823872e-01 2.695830113342e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.401991354253e-02 9.001111042532e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.895671244234e-02 4.824935232726e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.311955957701e-02 1.551612064918e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.431651070620e-02 7.384273830242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.800441521739e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.911517337398e-02 1.651514456491e+01 7.801913260870e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660897760870e-02 6.100000000000e+00 3.000735869565e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.001471739130e-03 1.000000000000e+00 5.32781e-02 8.87750e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat b/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat index 3ccd0ef98a..6d72c6c78a 100644 --- a/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat @@ -1,77 +1,77 @@ -CDFR2KT 25 76 - 1 JET 5.000000000000e-02 3.364000000000e+03 1.960000000000e+03 1.233177570093e+01 4.248088360238e-01 7.145284621920e-01 5.800000000000e+00 1.093032151633e+00 8.872405810151e+00 4.575483425440e-01 3.714030339133e+00 1.839876932981e-01 1.493472517323e+00 1.634101223371e-01 1.326439406833e+00 2.240482034430e-01 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.576887876702e-01 2.903446228192e+00 1.010195412065e+00 8.200000000000e+00 1.847918436703e-01 1.500000000000e+00 2.157664047392e-01 1.751427988814e+00 1.297886639203e+00 1.053525913339e+01 - 2 JET 5.000000000000e-02 4.489000000000e+03 1.960000000000e+03 5.839160839161e+00 6.993006993007e-02 3.386713286713e-01 5.800000000000e+00 5.085990844873e-01 8.710140009782e+00 1.984776915072e-01 3.399079028207e+00 9.078098958143e-02 1.554692396424e+00 1.076967019258e-01 1.844386631783e+00 1.121666168865e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.695368951427e-01 2.903446228192e+00 4.145804195804e-01 7.100000000000e+00 8.174825174825e-02 1.400000000000e+00 9.060112407040e-02 1.551612064918e+00 4.951036725512e-01 8.479020979021e+00 - 3 JET 5.000000000000e-02 6.006250000000e+03 1.960000000000e+03 2.564789991063e+00 4.468275245755e-02 1.487578194817e-01 5.800000000000e+00 2.190701588549e-01 8.541446263368e+00 7.773457249691e-02 3.030835770872e+00 4.142594772562e-02 1.615178937456e+00 5.994578317943e-02 2.337258933024e+00 5.142387942095e-02 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.568303712365e-02 2.950847335936e+00 1.590169794459e-01 6.200000000000e+00 3.334226988382e-02 1.300000000000e+00 3.467212845870e-02 1.351850583460e+00 1.764868894655e-01 6.881143878463e+00 - 4 JET 5.000000000000e-02 8.010250000000e+03 1.960000000000e+03 1.129326047359e+00 1.821493624772e-02 6.550091074681e-02 5.800000000000e+00 9.519807476922e-02 8.429635975533e+00 3.073659813177e-02 2.721676189410e+00 1.846330373887e-02 1.634895766555e+00 3.212401401966e-02 2.844529628515e+00 2.429363816733e-02 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.421883656510e-02 2.900000000000e+00 2.304432132964e-02 4.700000000000e+00 4.903047091413e-03 1.000000000000e+00 5.159860161819e-03 1.052378258992e+00 2.218368490113e-02 4.524469067405e+00 - 6 JET 5.000000000000e-02 1.404225000000e+04 1.960000000000e+03 2.181925233645e-01 5.607476635514e-03 1.262990654206e-02 5.800000000000e+00 1.843792149533e-02 8.467200000000e+00 4.844222429907e-03 2.224600000000e+00 3.499790654206e-03 1.607200000000e+00 8.941538317757e-03 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7.707456978967e-04 5.800000000000e+00 1.273940859720e-03 9.586634095448e+00 2.330768991468e-04 1.753945586385e+00 2.027449739154e-04 1.525692393636e+00 9.099577569429e-04 6.847595782463e+00 3.725584248325e-04 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.195427667303e-04 3.157134776977e+00 3.720841300191e-04 2.800000000000e+00 6.644359464627e-05 5.000000000000e-01 9.302103250478e-05 7.000000000000e-01 2.667907242011e-04 2.007648183556e+00 - 10 JET 5.000000000000e-02 4.389025000000e+04 1.960000000000e+03 5.047002881844e-03 5.763688760807e-05 2.908357348703e-04 5.800000000000e+00 5.203537004278e-04 1.037716862347e+01 8.381986153798e-05 1.671579997338e+00 7.711427261494e-05 1.537853597551e+00 4.070292476284e-04 8.117192467073e+00 1.479675609374e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.656273864147e-04 3.303028912983e+00 1.253602305476e-04 2.500000000000e+00 2.005763688761e-05 4.000000000000e-01 3.278595458974e-05 6.538348415311e-01 8.188756654403e-05 1.633045148895e+00 - 11 JET 5.000000000000e-02 5.832225000000e+04 1.960000000000e+03 1.739079074253e-03 2.892960462874e-05 1.001157184185e-04 5.800000000000e+00 1.950111810887e-04 1.129757512788e+01 2.756432810633e-05 1.596883142249e+00 2.653388593413e-05 1.537186576184e+00 1.638403053797e-04 9.491754004398e+00 5.351012536162e-05 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.138702951732e-05 3.556332380417e+00 3.797492767599e-05 2.200000000000e+00 5.178399228544e-06 3.000000000000e-01 1.035679845709e-05 6.000000000000e-01 2.163908388655e-05 1.253616200579e+00 - 12 JET 5.000000000000e-02 7.756225000000e+04 1.960000000000e+03 5.774003868472e-04 1.063829787234e-05 3.320696324952e-05 5.800000000000e+00 7.049384386725e-05 1.231260718898e+01 8.692330341354e-06 1.518221211649e+00 8.787850454995e-06 1.534904961227e+00 6.323431523051e-05 1.104464222100e+01 1.918415611071e-05 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.181646974640e-05 3.810511776652e+00 1.145067698259e-05 2.000000000000e+00 2.290135396518e-06 4.000000000000e-01 3.174853777463e-06 5.545268253205e-01 5.537077844580e-06 9.671179883946e-01 - 13 JET 5.000000000000e-02 1.030410000000e+05 1.960000000000e+03 1.743779069767e-04 5.813953488372e-06 1.000387596899e-05 5.800000000000e+00 2.301834010579e-05 1.334546460066e+01 2.490194907423e-06 1.443753451944e+00 2.617897210367e-06 1.517792090505e+00 2.180516822782e-05 1.264209753433e+01 6.296723898946e-06 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.167290994875e-06 4.155418149838e+00 3.104651162791e-06 1.800000000000e+00 1.034883720930e-06 6.000000000000e-01 9.564513072388e-07 5.545268253205e-01 1.169926687098e-06 6.782945736434e-01 - 14 JET 5.000000000000e-02 1.369000000000e+05 1.960000000000e+03 4.616388349515e-05 2.718446601942e-06 2.635339805825e-06 5.800000000000e+00 6.633695245483e-06 1.459979936506e+01 6.398457825431e-07 1.408207598332e+00 6.868932665536e-07 1.511752274680e+00 6.605466755077e-06 1.453767255925e+01 1.817475728155e-06 4.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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6.981553398058e-08 9.000000000000e-01 4.518804788387e-08 5.825242718447e-01 - 64 JET 1.350000000000e+00 1.369000000000e+05 1.960000000000e+03 1.191974708171e-06 2.140077821012e-07 5.924124513619e-08 5.800000000000e+00 3.784428315691e-07 3.705135531934e+01 3.650228730029e-08 3.573747747114e+00 3.918627901354e-08 3.836523316754e+00 3.768324365412e-07 3.689368997756e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.686711876875e-08 8.504704580407e+00 1.928095194616e-07 1.887697009586e+01 2.653677064125e-08 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134214860937e-07 1.110450359089e+01 4.289883268482e-08 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4.513601010280e+00 1.854501284658e-07 3.247830292180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.624247779680e-08 9.849873095629e+00 1.046919496121e-07 1.833493932360e+01 0.000000000000e+00 0.000000000000e+00 2.378221267284e-08 4.165033013074e+00 2.169788519637e-08 3.800000000000e+00 2.112688821752e-08 3.700000000000e+00 7.719025990147e-09 1.351850583460e+00 1.035039840819e-08 1.812688821752e+00 +CDFR2KT 26 76 + 1 JET 5.000000000000e-02 3.364000000000e+03 1.960000000000e+03 1.233177570093e+01 4.248088360238e-01 7.145284621920e-01 5.800000000000e+00 1.093032151633e+00 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6.993006993007e-02 3.386713286713e-01 5.800000000000e+00 5.085990844873e-01 8.710140009782e+00 1.984776915072e-01 3.399079028207e+00 9.078098958143e-02 1.554692396424e+00 1.076967019258e-01 1.844386631783e+00 1.121666168865e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.695368951427e-01 2.903446228192e+00 4.145804195804e-01 7.100000000000e+00 8.174825174825e-02 1.400000000000e+00 9.060112407040e-02 1.551612064918e+00 4.951036725512e-01 8.479020979021e+00 4.72705e-01 8.09542e+00 + 3 JET 5.000000000000e-02 6.006250000000e+03 1.960000000000e+03 2.564789991063e+00 4.468275245755e-02 1.487578194817e-01 5.800000000000e+00 2.190701588549e-01 8.541446263368e+00 7.773457249691e-02 3.030835770872e+00 4.142594772562e-02 1.615178937456e+00 5.994578317943e-02 2.337258933024e+00 5.142387942095e-02 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.568303712365e-02 2.950847335936e+00 1.590169794459e-01 6.200000000000e+00 3.334226988382e-02 1.300000000000e+00 3.467212845870e-02 1.351850583460e+00 1.764868894655e-01 6.881143878463e+00 2.09192e-01 8.15629e+00 + 4 JET 5.000000000000e-02 8.010250000000e+03 1.960000000000e+03 1.129326047359e+00 1.821493624772e-02 6.550091074681e-02 5.800000000000e+00 9.519807476922e-02 8.429635975533e+00 3.073659813177e-02 2.721676189410e+00 1.846330373887e-02 1.634895766555e+00 3.212401401966e-02 2.844529628515e+00 2.429363816733e-02 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.275045537341e-02 2.900000000000e+00 6.098360655738e-02 5.400000000000e+00 1.242258652095e-02 1.100000000000e+00 1.364569854941e-02 1.208304597359e+00 6.274033596438e-02 5.555555555556e+00 9.39980e-02 8.32337e+00 + 5 JET 5.000000000000e-02 1.060900000000e+04 1.960000000000e+03 4.905498614958e-01 1.015697137581e-02 2.843767313019e-02 5.800000000000e+00 4.120633723851e-02 8.404230363335e+00 1.217459963865e-02 2.483068061894e+00 7.913489765123e-03 1.613994240231e+00 1.676348719476e-02 3.418993715993e+00 1.103730244130e-02 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.425676909094e-03 2.950847335936e+00 9.145794392523e-03 4.200000000000e+00 1.959813084112e-03 9.000000000000e-01 2.074414121401e-03 9.526279441629e-01 7.936937723819e-03 3.644859813084e+00 1.87781e-02 8.60619e+00 + 7 JET 5.000000000000e-02 1.863225000000e+04 1.960000000000e+03 8.865509433962e-02 1.132075471698e-03 5.121509433962e-03 5.800000000000e+00 7.667887198036e-03 8.683718408032e+00 1.819190319819e-03 2.060194165607e+00 1.373488691463e-03 1.555446595033e+00 4.338768912768e-03 4.913563084972e+00 2.259476022770e-03 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.651998366594e-03 3.003331483536e+00 3.267169811321e-03 3.700000000000e+00 7.064150943396e-04 8.000000000000e-01 7.531586742567e-04 8.529361054616e-01 2.665717337131e-03 3.018867924528e+00 7.72028e-03 8.70822e+00 + 8 JET 5.000000000000e-02 2.480625000000e+04 1.960000000000e+03 3.462647338403e-02 5.703422053232e-04 2.001330798479e-03 5.800000000000e+00 3.117240057920e-03 9.033984961245e+00 6.530636905752e-04 1.892625351199e+00 5.353603509948e-04 1.551512642552e+00 1.997159890945e-03 5.787912411224e+00 9.329311060757e-04 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.052706750012e-03 3.050819562019e+00 1.104182509506e-03 3.200000000000e+00 2.070342205323e-04 6.000000000000e-01 2.760456273764e-04 8.000000000000e-01 8.528025560583e-04 2.471482889734e+00 3.07452e-03 8.87909e+00 + 9 JET 5.000000000000e-02 3.312400000000e+04 1.960000000000e+03 1.337509560229e-02 9.560229445507e-05 7.707456978967e-04 5.800000000000e+00 1.273940859720e-03 9.586634095448e+00 2.330768991468e-04 1.753945586385e+00 2.027449739154e-04 1.525692393636e+00 9.099577569429e-04 6.847595782463e+00 3.725584248325e-04 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.195427667303e-04 3.157134776977e+00 3.720841300191e-04 2.800000000000e+00 6.644359464627e-05 5.000000000000e-01 9.302103250478e-05 7.000000000000e-01 2.667907242011e-04 2.007648183556e+00 1.20211e-03 8.98769e+00 + 10 JET 5.000000000000e-02 4.389025000000e+04 1.960000000000e+03 5.047002881844e-03 5.763688760807e-05 2.908357348703e-04 5.800000000000e+00 5.203537004278e-04 1.037716862347e+01 8.381986153798e-05 1.671579997338e+00 7.711427261494e-05 1.537853597551e+00 4.070292476284e-04 8.117192467073e+00 1.479675609374e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.656273864147e-04 3.303028912983e+00 1.253602305476e-04 2.500000000000e+00 2.005763688761e-05 4.000000000000e-01 3.278595458974e-05 6.538348415311e-01 8.188756654403e-05 1.633045148895e+00 4.60994e-04 9.13402e+00 + 11 JET 5.000000000000e-02 5.832225000000e+04 1.960000000000e+03 1.739079074253e-03 2.892960462874e-05 1.001157184185e-04 5.800000000000e+00 1.950111810887e-04 1.129757512788e+01 2.756432810633e-05 1.596883142249e+00 2.653388593413e-05 1.537186576184e+00 1.638403053797e-04 9.491754004398e+00 5.351012536162e-05 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.138702951732e-05 3.556332380417e+00 3.797492767599e-05 2.200000000000e+00 5.178399228544e-06 3.000000000000e-01 1.035679845709e-05 6.000000000000e-01 2.163908388655e-05 1.253616200579e+00 1.63885e-04 9.42366e+00 + 12 JET 5.000000000000e-02 7.756225000000e+04 1.960000000000e+03 5.774003868472e-04 1.063829787234e-05 3.320696324952e-05 5.800000000000e+00 7.049384386725e-05 1.231260718898e+01 8.692330341354e-06 1.518221211649e+00 8.787850454995e-06 1.534904961227e+00 6.323431523051e-05 1.104464222100e+01 1.918415611071e-05 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.181646974640e-05 3.810511776652e+00 1.145067698259e-05 2.000000000000e+00 2.290135396518e-06 4.000000000000e-01 3.174853777463e-06 5.545268253205e-01 5.537077844580e-06 9.671179883946e-01 5.57801e-05 9.66056e+00 + 13 JET 5.000000000000e-02 1.030410000000e+05 1.960000000000e+03 1.743779069767e-04 5.813953488372e-06 1.000387596899e-05 5.800000000000e+00 2.301834010579e-05 1.334546460066e+01 2.490194907423e-06 1.443753451944e+00 2.617897210367e-06 1.517792090505e+00 2.180516822782e-05 1.264209753433e+01 6.296723898946e-06 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.167290994875e-06 4.155418149838e+00 3.104651162791e-06 1.800000000000e+00 1.034883720930e-06 6.000000000000e-01 9.564513072388e-07 5.545268253205e-01 1.169926687098e-06 6.782945736434e-01 1.74260e-05 9.99324e+00 + 14 JET 5.000000000000e-02 1.369000000000e+05 1.960000000000e+03 4.616388349515e-05 2.718446601942e-06 2.635339805825e-06 5.800000000000e+00 6.633695245483e-06 1.459979936506e+01 6.398457825431e-07 1.408207598332e+00 6.868932665536e-07 1.511752274680e+00 6.605466755077e-06 1.453767255925e+01 1.817475728155e-06 4.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.115012950626e-06 4.654836194755e+00 7.269902912621e-07 1.600000000000e+00 4.543689320388e-07 1.000000000000e+00 2.069748987883e-07 4.555216789572e-01 2.205674427373e-07 4.854368932039e-01 4.81309e-06 1.04261e+01 + 15 JET 5.000000000000e-02 1.819022500000e+05 1.960000000000e+03 1.283098249027e-05 1.167315175097e-06 7.278210116732e-07 5.800000000000e+00 2.069057956107e-06 1.648830681301e+01 1.734181523905e-07 1.381967912073e+00 1.913579612585e-07 1.524930109874e+00 2.143807159724e-06 1.708398263718e+01 5.649675057585e-07 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.593410813919e-07 5.254283966441e+00 1.756809338521e-07 1.400000000000e+00 2.258754863813e-07 1.800000000000e+00 5.716176710650e-08 4.555216789572e-01 2.441369286439e-08 1.945525291829e-01 1.40289e-06 1.09336e+01 + 16 JET 5.000000000000e-02 2.420640000000e+05 1.960000000000e+03 2.467594936709e-06 4.868549172347e-07 1.394936708861e-07 5.800000000000e+00 4.745434615514e-07 1.973101761187e+01 3.489290158466e-08 1.450810118520e+00 3.977790780651e-08 1.653923535113e+00 5.087385051043e-07 2.115281152802e+01 1.251095338072e-07 5.201922721456e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.443438762908e-07 6.001666435249e+00 3.126582278481e-08 1.300000000000e+00 7.455696202532e-08 3.100000000000e+00 1.020381937408e-08 4.242640687119e-01 2.341833779103e-09 9.737098344693e-02 2.85817e-07 1.15828e+01 + 17 JET 5.000000000000e-02 3.763822500000e+05 1.960000000000e+03 2.193318713450e-07 9.259259259259e-08 1.204093567251e-08 5.800000000000e+00 5.415936043715e-08 2.608802995705e+01 3.405229249043e-09 1.640265356581e+00 4.053844344098e-09 1.952696853073e+00 6.015905006642e-08 2.897802129960e+01 1.455883100412e-08 7.012845356915e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.525947804389e-08 7.350340128185e+00 2.283625730994e-09 1.100000000000e+00 1.473976608187e-08 7.100000000000e+00 8.807821309517e-10 4.242640687119e-01 1.214048767142e-09 5.847953216374e-01 2.87851e-08 1.31240e+01 + 18 JET 4.000000000000e-01 3.364000000000e+03 1.960000000000e+03 1.177272727273e+01 1.683501683502e-01 6.835016835017e-01 5.800000000000e+00 1.005641787859e+00 8.533588885545e+00 4.209663298014e-01 3.572199998600e+00 1.692774659519e-01 1.436440211077e+00 1.503451177862e-01 1.275785713786e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.780620420807e-01 2.359555042799e+00 6.245791245791e-01 5.300000000000e+00 7.070707070707e-02 6.000000000000e-01 1.885521885522e-01 1.600000000000e+00 1.388747179993e+00 1.178451178451e+01 9.31769e-01 7.91464e+00 + 19 JET 4.000000000000e-01 4.489000000000e+03 1.960000000000e+03 5.314074394464e+00 1.038062283737e-01 3.080622837370e-01 5.800000000000e+00 4.432747380717e-01 8.345693765649e+00 1.729852636377e-01 3.256856103668e+00 7.912110069794e-02 1.489641570144e+00 9.386416293979e-02 1.767214533524e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.063322895310e-03 1.584680497766e+00 7.826416421554e-03 4.048665418073e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.875824379553e-03 2.004993765576e+00 5.799256505576e-03 3.000000000000e+00 9.665427509294e-04 5.000000000000e-01 1.841511267527e-03 9.526279441629e-01 8.443774961651e-03 4.368029739777e+00 1.67245e-02 8.62583e+00 + 24 JET 4.000000000000e-01 1.863225000000e+04 1.960000000000e+03 8.018577464789e-02 3.755868544601e-04 4.634553990610e-03 5.800000000000e+00 6.881364491844e-03 8.611813376984e+00 1.632589440532e-03 2.043134846260e+00 1.232605027602e-03 1.542566808926e+00 3.893725815669e-03 4.872876608329e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.602112389207e-03 2.004993765576e+00 2.157464788732e-03 2.700000000000e+00 3.995305164319e-04 5.000000000000e-01 6.815480053970e-04 8.529361054616e-01 2.851109788622e-03 3.568075117371e+00 7.00056e-03 8.73043e+00 + 25 JET 4.000000000000e-01 2.480625000000e+04 1.960000000000e+03 3.167445497630e-02 1.895734597156e-04 1.830710900474e-03 5.800000000000e+00 2.854309952371e-03 9.042933933188e+00 5.979796733348e-04 1.894500166271e+00 4.902042670942e-04 1.553049554908e+00 1.828705280082e-03 5.793645857316e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.159021638163e-04 1.951281630109e+00 7.575355450237e-04 2.400000000000e+00 1.262559241706e-04 4.000000000000e-01 2.525118483412e-04 8.000000000000e-01 8.676354978549e-04 2.748815165877e+00 2.80872e-03 8.86745e+00 + 26 JET 4.000000000000e-01 3.312400000000e+04 1.960000000000e+03 1.179484240688e-02 9.551098376313e-05 6.813753581662e-04 5.800000000000e+00 1.140597783687e-03 9.708990890407e+00 2.086807975166e-04 1.776331666666e+00 1.815237074288e-04 1.545165216894e+00 8.147127026334e-04 6.934993493148e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.409741694462e-04 2.051219149677e+00 2.584527220630e-04 2.200000000000e+00 4.699140401146e-05 4.000000000000e-01 8.223495702006e-05 7.000000000000e-01 2.580712254689e-04 2.196752626552e+00 1.06191e-03 9.00314e+00 + 27 JET 4.000000000000e-01 4.389025000000e+04 1.960000000000e+03 4.373342939481e-03 1.921229586936e-05 2.523919308357e-04 5.800000000000e+00 4.598691979401e-04 1.056785507849e+01 7.407686822489e-05 1.702296243314e+00 6.815071876690e-05 1.566112543849e+00 3.597172721001e-04 8.266350557531e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.138328530259e-05 2.100000000000e+00 8.703170028818e-05 2.000000000000e+00 1.740634005764e-05 4.000000000000e-01 3.046109510086e-05 7.000000000000e-01 7.106334797786e-05 1.633045148895e+00 3.99359e-04 9.13167e+00 + 28 JET 4.000000000000e-01 5.832225000000e+04 1.960000000000e+03 1.523778957529e-03 9.652509652510e-06 8.789575289575e-05 5.800000000000e+00 1.769354037488e-04 1.167548269323e+01 2.500936354177e-05 1.650299403139e+00 2.407443406358e-05 1.588605967507e+00 1.486537870333e-04 9.809256265385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.411432445878e-05 2.251110836898e+00 2.727799227799e-05 1.800000000000e+00 4.546332046332e-06 3.000000000000e-01 9.092664092664e-06 6.000000000000e-01 1.755340558429e-05 1.158301158301e+00 1.42647e-04 9.36139e+00 + 29 JET 4.000000000000e-01 7.756225000000e+04 1.960000000000e+03 4.763719689622e-04 5.819592628516e-06 2.739670223084e-05 5.800000000000e+00 6.132254166402e-05 1.298224650012e+01 7.561451614398e-06 1.600791912617e+00 7.644544489282e-06 1.618383032536e+00 5.500748317288e-05 1.164532138629e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.913130497294e-07 4.150602365922e+00 9.826001955034e-08 1.400000000000e+00 5.614858260020e-08 8.000000000000e-01 3.197112077139e-08 4.555216789572e-01 2.744310000010e-08 3.910068426197e-01 7.80382e-07 1.08265e+01 + 33 JET 4.000000000000e-01 2.420640000000e+05 1.960000000000e+03 1.182722820764e-06 1.273261508325e-07 6.589618021548e-08 5.800000000000e+00 2.628495801311e-07 2.313529494085e+01 1.932717500964e-08 1.701124628003e+00 2.203297951099e-08 1.939282075924e+00 2.817902116405e-07 2.480239707629e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.851677845504e-08 5.150485414017e+00 1.476983349657e-08 1.300000000000e+00 1.590597453477e-08 1.400000000000e+00 5.175368732521e-09 4.555216789572e-01 8.902182473636e-09 7.835455435847e-01 1.34356e-07 1.13599e+01 + 34 JET 4.000000000000e-01 3.763822500000e+05 1.960000000000e+03 9.357701375246e-08 2.357563850688e-08 5.110609037328e-09 5.800000000000e+00 2.759985698368e-08 3.132291461470e+01 1.735320349273e-09 1.969404811104e+00 2.065857558659e-09 2.344529537029e+00 3.065732617050e-08 3.479281832951e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.432318271120e-09 7.300000000000e+00 1.057367387033e-09 1.200000000000e+00 3.172102161100e-09 3.600000000000e+00 4.013781395134e-10 4.555216789572e-01 1.211783187497e-09 1.375245579568e+00 1.21007e-08 1.29313e+01 + 35 JET 9.000000000000e-01 3.364000000000e+03 1.960000000000e+03 1.049024807528e+01 1.710863986313e-01 6.102651839179e-01 5.800000000000e+00 9.085822938775e-01 8.635225215795e+00 3.803367741813e-01 3.614745439170e+00 1.529396552263e-01 1.453548430566e+00 1.358345622076e-01 1.290980513989e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.319576685424e-01 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.106204285772e-01 3.902563260218e+00 6.628742514970e-01 6.300000000000e+00 2.104362703165e-01 2.000000000000e+00 1.737692712989e-01 1.651514456491e+00 1.125086988433e+00 1.069289991446e+01 8.45827e-01 8.06298e+00 + 36 JET 9.000000000000e-01 4.489000000000e+03 1.960000000000e+03 4.794400699913e+00 1.224846894138e-01 2.780752405949e-01 5.800000000000e+00 4.000325101979e-01 8.343743780222e+00 1.561102478821e-01 3.256095133745e+00 7.140269860517e-02 1.489293512878e+00 8.470754927694e-02 1.766801620867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.079272737200e-01 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.798219860774e-01 3.750666607418e+00 2.684864391951e-01 5.600000000000e+00 9.109361329834e-02 1.900000000000e+00 6.960142314300e-02 1.451723114096e+00 4.320413579099e-01 9.011373578303e+00 3.90049e-01 8.13551e+00 + 37 JET 9.000000000000e-01 6.006250000000e+03 1.960000000000e+03 2.147142857143e+00 1.785714285714e-02 1.242857142857e-01 5.800000000000e+00 1.753261682667e-01 8.181887852446e+00 6.221251132044e-02 2.903250528287e+00 3.315400289804e-02 1.547186801909e+00 4.797579242893e-02 2.238870313350e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.928571428571e-02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.720235800565e-02 3.602776706930e+00 1.050000000000e-01 4.900000000000e+00 3.857142857143e-02 1.800000000000e+00 2.785714285714e-02 1.300000000000e+00 1.626275510204e-01 7.589285714286e+00 1.77489e-01 8.26627e+00 + 38 JET 9.000000000000e-01 8.010250000000e+03 1.960000000000e+03 9.101633393829e-01 9.074410163339e-03 5.263157894737e-02 5.800000000000e+00 7.492763001254e-02 8.257024827382e+00 2.419188054217e-02 2.665945235747e+00 1.453192824234e-02 1.601418492306e+00 2.528387514997e-02 2.786283041527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.087114337568e-02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.131329003263e-02 3.450724561596e+00 3.992740471869e-02 4.400000000000e+00 1.633393829401e-02 1.800000000000e+00 1.088929219601e-02 1.200000000000e+00 5.764144386876e-02 6.352087114338e+00 7.66528e-02 8.42187e+00 + 39 JET 9.000000000000e-01 1.060900000000e+04 1.960000000000e+03 3.831209751610e-01 4.599816007360e-03 2.214351425943e-02 5.800000000000e+00 3.228465574864e-02 8.456245975609e+00 9.538648289372e-03 2.498436310975e+00 6.200121388092e-03 1.623983602134e+00 1.313398495229e-02 3.440154612804e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.162833486661e-03 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.279263723095e-02 3.350746185553e+00 1.488960441582e-02 3.900000000000e+00 6.490340386385e-03 1.700000000000e+00 4.199632014719e-03 1.100000000000e+00 2.001999036874e-02 5.243790248390e+00 3.26623e-02 8.52532e+00 + 40 JET 9.000000000000e-01 1.404225000000e+04 1.960000000000e+03 1.616544186047e-01 2.790697674419e-03 9.333953488372e-03 5.800000000000e+00 1.420425356931e-02 8.826342535841e+00 3.731904583603e-03 2.318958050505e+00 2.696177760841e-03 1.675370573933e+00 6.888405376782e-03 4.280367502914e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.023255813953e-03 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.231470336540e-03 3.250769139758e+00 5.632558139535e-03 3.500000000000e+00 2.735813953488e-03 1.700000000000e+00 1.609302325581e-03 1.000000000000e+00 7.036019469984e-03 4.372093023256e+00 1.39842e-02 8.65069e+00 + 41 JET 9.000000000000e-01 1.863225000000e+04 1.960000000000e+03 6.451268796992e-02 4.699248120301e-04 3.723120300752e-03 5.800000000000e+00 6.014407792475e-03 9.369443471733e+00 1.426905763339e-03 2.222881013460e+00 1.077313851321e-03 1.678275165162e+00 3.403170245564e-03 5.301571217102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.668984962406e-03 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.056140351355e-03 3.203123475609e+00 2.054135338346e-03 3.200000000000e+00 1.091259398496e-03 1.700000000000e+00 5.777255639098e-04 9.000000000000e-01 2.292561761547e-03 3.571428571429e+00 5.66685e-03 8.78409e+00 + 42 JET 9.000000000000e-01 2.480625000000e+04 1.960000000000e+03 2.399488636364e-02 2.840909090909e-04 1.384090909091e-03 5.800000000000e+00 2.383696627100e-03 9.988823961183e+00 4.993858950807e-04 2.092664703195e+00 4.093802977115e-04 1.715498390410e+00 1.527191748910e-03 6.399660662098e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.564669063024e-04 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.757517265331e-04 3.250769139758e+00 6.681818181818e-04 2.800000000000e+00 3.818181818182e-04 1.600000000000e+00 1.909090909091e-04 8.000000000000e-01 7.005423553719e-04 2.935606060606e+00 2.13744e-03 8.90789e+00 + 43 JET 9.000000000000e-01 3.312400000000e+04 1.960000000000e+03 8.595586832061e-03 5.725190839695e-05 4.953244274809e-04 5.800000000000e+00 9.249500884757e-04 1.083070047735e+01 1.692264572900e-04 1.981556728938e+00 1.472038361359e-04 1.723682908049e+00 6.606786346255e-04 7.736214626676e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.520046150441e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.861562820678e-04 3.350746185553e+00 2.220419847328e-04 2.600000000000e+00 1.366412213740e-04 1.600000000000e+00 6.832061068702e-05 8.000000000000e-01 1.955742672338e-04 2.290076335878e+00 7.73616e-04 9.00015e+00 + 44 JET 9.000000000000e-01 4.389025000000e+04 1.960000000000e+03 2.940806142035e-03 1.919385796545e-05 1.692130518234e-04 5.800000000000e+00 3.458796329164e-04 1.185547952299e+01 5.571514705483e-05 1.909709974708e+00 5.125793529044e-05 1.756933176732e+00 2.705527540982e-04 9.273551637183e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.484009774341e-05 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.051098002790e-04 3.602776706930e+00 6.710172744722e-05 2.300000000000e+00 4.959692898273e-05 1.700000000000e+00 2.042226487524e-05 7.000000000000e-01 5.319756411154e-05 1.823416506718e+00 2.67556e-04 9.09805e+00 + 45 JET 9.000000000000e-01 5.832225000000e+04 1.960000000000e+03 9.272131147541e-04 1.060752169720e-05 5.324590163934e-05 5.800000000000e+00 1.204833091406e-04 1.312407474567e+01 1.703000538711e-05 1.855054158239e+00 1.639336967171e-05 1.785706339239e+00 1.012250787496e-04 1.102630322093e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.399201575633e-05 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.674425512743e-05 4.002499219238e+00 1.927868852459e-05 2.100000000000e+00 1.652459016393e-05 1.800000000000e+00 6.426229508197e-06 7.000000000000e-01 1.239388526171e-05 1.350048216008e+00 8.52835e-05 9.19783e+00 + 46 JET 9.000000000000e-01 7.756225000000e+04 1.960000000000e+03 2.477342691191e-04 4.840271055179e-06 1.420522749274e-05 5.800000000000e+00 3.640337045376e-05 1.486351054496e+01 4.488762481426e-06 1.832763495381e+00 4.538089541662e-06 1.852903753572e+00 3.265451387587e-05 1.333285092244e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.042196107034e-05 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.127153794869e-05 4.602173399602e+00 4.898354307841e-06 2.000000000000e+00 5.143272023233e-06 2.100000000000e+00 1.469506292352e-06 6.000000000000e-01 2.133842631683e-06 8.712487899322e-01 2.30153e-05 9.29032e+00 + 47 JET 9.000000000000e-01 1.030410000000e+05 1.960000000000e+03 6.090000000000e-05 1.650485436893e-06 3.480000000000e-06 5.800000000000e+00 1.038895452478e-05 1.731492420796e+01 1.123909088672e-06 1.873181814454e+00 1.181545452194e-06 1.969242420323e+00 9.841409071322e-06 1.640234845220e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.941224234906e-06 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.272476126727e-06 5.454126877879e+00 1.080000000000e-06 1.800000000000e+00 1.440000000000e-06 2.400000000000e+00 3.600000000000e-07 6.000000000000e-01 2.912621359223e-07 4.854368932039e-01 5.80240e-06 9.52775e+00 + 48 JET 9.000000000000e-01 1.369000000000e+05 1.960000000000e+03 1.109459591042e-05 6.815968841285e-07 6.268743914314e-07 5.800000000000e+00 2.238733505980e-06 2.071332712289e+01 2.159345793002e-07 1.997881197669e+00 2.318121218958e-07 2.144784226910e+00 2.229206980422e-06 2.062518530535e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.218930867900e-07 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.139945654159e-07 6.606057825965e+00 1.837390457644e-07 1.700000000000e+00 3.242453748783e-07 3.000000000000e+00 6.484907497566e-08 6.000000000000e-01 1.052403034334e-08 9.737098344693e-02 1.05123e-06 9.47515e+00 + 49 JET 9.000000000000e-01 1.819022500000e+05 1.960000000000e+03 1.578512195122e-06 1.951219512195e-07 8.657560975610e-08 5.800000000000e+00 3.809096341172e-07 2.551845588040e+01 3.192595199248e-08 2.138830117143e+00 3.522863668136e-08 2.360088405124e+00 3.946708203209e-07 2.644036541365e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.031896360470e-07 6.913031173082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.195824430678e-07 8.011242100948e+00 2.388292682927e-08 1.600000000000e+00 5.672195121951e-08 3.800000000000e+00 7.463414634146e-09 5.000000000000e-01 4.368828078525e-09 2.926829268293e-01 1.53378e-07 9.71664e+00 + 50 JET 9.000000000000e-01 2.420640000000e+05 1.960000000000e+03 2.340757575758e-07 7.038123167155e-08 1.230303030303e-08 5.800000000000e+00 6.979198427640e-08 3.290193544459e+01 5.131763549736e-09 2.419259959161e+00 5.850210446699e-09 2.757956353444e+00 7.482111255514e-08 3.527281020457e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.961949214411e-08 9.249189153650e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.030250451603e-08 9.571180700415e+00 3.181818181818e-09 1.500000000000e+00 1.060606060606e-08 5.000000000000e+00 1.060606060606e-09 5.000000000000e-01 1.451464794573e-09 6.842619745846e-01 2.34537e-08 1.00197e+01 + 51 JET 1.350000000000e+00 3.364000000000e+03 1.960000000000e+03 9.378448275862e+00 2.586206896552e-01 5.500000000000e-01 5.800000000000e+00 7.721845914116e-01 8.143037509431e+00 3.232400615211e-01 3.408713376041e+00 1.299801305588e-01 1.370699558620e+00 1.154428791147e-01 1.217397634300e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.374479728983e-01 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 2.463692959042e-01 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.847986751629e-01 3.003331483536e+00 6.353448275862e-01 6.700000000000e+00 1.232758620690e-01 1.300000000000e+00 1.706896551724e-01 1.800000000000e+00 1.021848989298e+00 1.077586206897e+01 7.56011e-01 8.06115e+00 + 52 JET 1.350000000000e+00 4.489000000000e+03 1.960000000000e+03 3.838834951456e+00 1.323918799647e-01 2.252427184466e-01 5.800000000000e+00 3.226104554048e-01 8.307219226673e+00 1.258967630848e-01 3.241841649433e+00 5.758346266094e-02 1.482774163519e+00 6.831330042385e-02 1.759067485914e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.518525032059e-02 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 1.008961635477e-01 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.145960130461e-01 2.950847335936e+00 2.485436893204e-01 6.400000000000e+00 4.271844660194e-02 1.100000000000e+00 6.025677922013e-02 1.551612064918e+00 3.461897702637e-01 8.914386584289e+00 3.15285e-01 8.21303e+00 + 53 JET 1.350000000000e+00 6.006250000000e+03 1.960000000000e+03 1.618505850585e+00 5.400540054005e-02 9.501350135014e-02 5.800000000000e+00 1.407400838684e-01 8.591331493284e+00 4.994002975975e-02 3.048536981488e+00 2.661380896288e-02 1.624612184492e+00 3.851174708746e-02 2.350909396383e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.095409540954e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 4.256074441641e-02 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.750675067507e-02 2.900000000000e+00 9.992799279928e-02 6.100000000000e+00 1.474347434743e-02 9.000000000000e-01 2.214552710978e-02 1.351850583460e+00 1.194340856228e-01 7.290729072907e+00 1.34805e-01 8.32896e+00 + 54 JET 1.350000000000e+00 8.010250000000e+03 1.960000000000e+03 6.517138939671e-01 3.382084095064e-02 3.827787934186e-02 5.800000000000e+00 5.889228136185e-02 8.923567286685e+00 1.901454824239e-02 2.881151769692e+00 1.142193349283e-02 1.730691861655e+00 1.987284382278e-02 3.011203759296e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.683553662814e-02 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 1.714635305847e-02 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.881474621478e-02 2.850877058030e+00 3.827787934186e-02 5.800000000000e+00 5.279707495430e-03 8.000000000000e-01 8.262731687794e-03 1.251998402555e+00 3.921172157255e-02 5.941499085923e+00 5.51306e-02 8.45933e+00 + 55 JET 1.350000000000e+00 1.060900000000e+04 1.960000000000e+03 2.726148148148e-01 4.629629629630e-03 1.600370370370e-02 5.800000000000e+00 2.599026078940e-02 9.419289145153e+00 7.678940687778e-03 2.782971792886e+00 4.991311447056e-03 1.808931665376e+00 1.057331063933e-02 3.831938084051e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.174074074074e-03 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 7.168765842438e-03 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.142152834342e-03 2.950847335936e+00 1.545185185185e-02 5.600000000000e+00 1.655555555556e-03 6.000000000000e-01 3.179140878979e-03 1.152171862180e+00 1.328532235940e-02 4.814814814815e+00 2.33403e-02 8.56164e+00 + 56 JET 1.350000000000e+00 1.404225000000e+04 1.960000000000e+03 1.053539325843e-01 2.808988764045e-03 6.191011235955e-03 5.800000000000e+00 1.065375149013e-02 9.980882974968e+00 2.799075912338e-03 2.622292170507e+00 2.022239866183e-03 1.894519453582e+00 5.166576243479e-03 4.840266164944e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.936363476024e-03 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 2.773227416613e-03 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.256492790920e-03 3.050819562019e+00 5.764044943820e-03 5.400000000000e+00 4.269662921348e-04 4.000000000000e-01 1.123325107913e-03 1.052378258992e+00 4.197702310314e-03 3.932584269663e+00 9.06539e-03 8.60470e+00 + 57 JET 1.350000000000e+00 1.863225000000e+04 1.960000000000e+03 3.821246458924e-02 3.777148253069e-04 2.245514636449e-03 5.800000000000e+00 4.145205987885e-03 1.070676375895e+01 9.834415155124e-04 2.540157475433e+00 7.424983442119e-04 1.917818893952e+00 2.345508014497e-03 6.058275578909e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.142443255650e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 1.005865199863e-03 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278793063572e-03 3.303028912983e+00 2.013220018886e-03 5.200000000000e+00 1.161473087819e-04 3.000000000000e-01 4.074363420084e-04 1.052378258992e+00 1.242999212648e-03 3.210576015109e+00 3.33084e-03 8.71663e+00 + 58 JET 1.350000000000e+00 2.480625000000e+04 1.960000000000e+03 1.306679352997e-02 1.902949571836e-04 7.670789724072e-04 5.800000000000e+00 1.558312628407e-03 1.178263721191e+01 3.264674446845e-04 2.468469671679e+00 2.676273819797e-04 2.023571068063e+00 9.983829994421e-04 7.548924693624e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364414843007e-04 3.300000000000e+00 0.000000000000e+00 0.000000000000e+00 3.436085569725e-04 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.897007978761e-04 3.702701716315e+00 6.612749762131e-04 5.000000000000e+00 1.322549952426e-05 1.000000000000e-01 1.259898042233e-04 9.526279441629e-01 3.397606918697e-04 2.568981921979e+00 1.14160e-03 8.73668e+00 + 59 JET 1.350000000000e+00 3.312400000000e+04 1.960000000000e+03 3.969473684211e-03 3.827751196172e-05 2.325550239234e-04 5.800000000000e+00 5.297765963357e-04 1.321280532627e+01 9.692654519426e-05 2.417380423103e+00 8.431281671008e-05 2.102789820096e+00 3.784118545255e-04 9.437718090195e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.503855797615e-04 3.750666607418e+00 0.000000000000e+00 0.000000000000e+00 1.041716681873e-04 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.704302826348e-04 4.250588194591e+00 1.924593301435e-04 4.800000000000e+00 4.009569377990e-06 1.000000000000e-01 3.819627833533e-05 9.526279441629e-01 8.057507840938e-05 2.009569377990e+00 3.46357e-04 8.72552e+00 + 60 JET 1.350000000000e+00 4.389025000000e+04 1.960000000000e+03 1.099134615385e-03 1.923076923077e-05 6.413461538462e-05 5.800000000000e+00 1.672144035384e-04 1.512199823304e+01 2.693530984832e-05 2.435888890631e+00 2.478048506046e-05 2.241017779381e+00 1.307978646235e-04 1.182867645290e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.757378553643e-05 4.302324952860e+00 8.983311697434e-06 8.124038404636e-01 2.872872733708e-05 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.584681999066e-05 5.050495025243e+00 5.197115384615e-05 4.700000000000e+00 2.211538461538e-06 2.000000000000e-01 9.951923076923e-06 9.000000000000e-01 1.701183431953e-05 1.538461538462e+00 9.56612e-05 8.70332e+00 + 61 JET 1.350000000000e+00 5.832225000000e+04 1.960000000000e+03 2.648310810811e-04 8.687258687259e-06 1.528378378378e-05 5.800000000000e+00 4.604601883267e-05 1.747387381343e+01 6.508486149400e-06 2.469887051567e+00 6.265178255965e-06 2.377554825341e+00 3.868595505625e-05 1.468082397006e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344435512795e-05 5.101960407530e+00 6.598369959411e-06 2.503996805110e+00 6.846281908296e-06 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.620715223883e-05 6.150406490631e+00 1.212162162162e-05 4.600000000000e+00 1.054054054054e-06 4.000000000000e-01 2.371621621622e-06 9.000000000000e-01 3.052280079307e-06 1.158301158301e+00 2.27906e-05 8.60571e+00 + 62 JET 1.350000000000e+00 7.756225000000e+04 1.960000000000e+03 5.149912875121e-05 2.226524685382e-06 2.908422071636e-06 5.800000000000e+00 1.010654729516e-05 2.015456246312e+01 1.246200276232e-06 2.485183176347e+00 1.259894784762e-06 2.512492881582e+00 9.065764646877e-06 1.807902486530e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.035649423562e-06 6.053717865907e+00 2.782042408697e-06 5.547972602672e+00 1.302810723602e-06 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.790112034101e-06 7.558273612406e+00 2.206389157793e-06 4.400000000000e+00 4.011616650532e-07 8.000000000000e-01 4.513068731849e-07 9.000000000000e-01 4.368895190560e-07 8.712487899322e-01 4.33301e-06 8.41376e+00 + 63 JET 1.350000000000e+00 1.030410000000e+05 1.960000000000e+03 8.230475728155e-06 5.922330097087e-07 4.499223300971e-07 5.800000000000e+00 1.871266017276e-06 2.412270335161e+01 2.024393194834e-07 2.609668323753e+00 2.128208230466e-07 2.743497468561e+00 1.772641733425e-06 2.285132647594e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.586320014766e-07 7.201388754956e+00 8.282782663380e-07 1.067742946593e+01 2.015400866865e-07 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.133641836743e-07 9.196058938480e+00 3.335631067961e-07 4.300000000000e+00 1.241165048544e-07 1.600000000000e+00 6.981553398058e-08 9.000000000000e-01 4.518804788387e-08 5.825242718447e-01 6.76214e-07 8.21598e+00 + 64 JET 1.350000000000e+00 1.369000000000e+05 1.960000000000e+03 1.191974708171e-06 2.140077821012e-07 5.924124513619e-08 5.800000000000e+00 3.784428315691e-07 3.705135531934e+01 3.650228730029e-08 3.573747747114e+00 3.918627901354e-08 3.836523316754e+00 3.768324365412e-07 3.689368997756e+01 0.000000000000e+00 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b/nnpdfcpp/data/commondata/DATA_CMS1JET276TEV_SF.dat index a93b3e5c01..08fd25af2e 100644 --- a/nnpdfcpp/data/commondata/DATA_CMS1JET276TEV_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_CMS1JET276TEV_SF.dat @@ -1,82 +1,82 @@ -CMS1JET276TEV 106 81 - 1 JET 2.500000000000e-01 6.241000000000e+03 2.760000000000e+03 4.968430826370e+03 0.000000000000e+00 1.838319405757e+02 3.700000000000e+00 6.458960074280e+01 1.300000000000e+00 1.155147160226e+02 2.324973820900e+00 0.000000000000e+00 0.000000000000e+00 2.981058495822e+01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.458960074280e+01 1.300000000000e+00 2.981058495822e+01 6.000000000000e-01 3.477901578459e+01 7.000000000000e-01 4.968430826370e+01 1.000000000000e+00 2.235793871866e+02 4.500000000000e+00 9.936861652739e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.981058495822e+01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 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1.141642371234e-01 3.700000000000e+00 3.702623906706e-02 1.200000000000e+00 5.697267106204e-02 1.846452866861e+00 6.171039844509e-03 2.000000000000e-01 2.159863945578e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.553935860058e-02 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.085519922255e-03 1.000000000000e-01 8.022351797862e-02 2.600000000000e+00 6.171039844509e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.256559766764e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.085519922255e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.553935860058e-02 1.800000000000e+00 3.085519922255e-03 1.000000000000e-01 1.155524490029e-06 3.744991181858e-05 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2.293513579474e-03 1.864939519216e-04 2.502104844433e-02 7.237269933030e-05 9.709917117050e-03 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 6.612610837438e-05 3.700000000000e+00 1.787192118227e-05 1.000000000000e+00 1.257448729101e-05 7.035890077382e-01 1.429753694581e-05 8.000000000000e-01 2.323349753695e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 5.897733990148e-05 3.300000000000e+00 1.072315270936e-05 6.000000000000e-01 1.072315270936e-05 6.000000000000e-01 2.859507389163e-05 1.600000000000e+00 3.753103448276e-05 2.100000000000e+00 8.935960591133e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.787192118227e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.574384236453e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.144630541872e-05 1.200000000000e+00 7.506206896552e-05 4.200000000000e+00 3.574384236453e-06 2.000000000000e-01 0.000000000000e+00 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8.014400134203e-02 -1.138690545251e-02 -2.540022915810e-01 -7.820851561776e-02 -1.744560211807e+00 2.165554720413e-02 4.830600059191e-01 -8.286470681614e-01 -1.848423657355e+01 -6.211848187414e-01 -1.385647471244e+01 -1.343353228986e-03 -2.996554243718e-02 -1.287948893846e-04 -2.872966424817e-03 -3.774915584906e-05 -8.420524901080e-04 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 73 JET 2.250000000000e+00 3.422500000000e+04 2.760000000000e+03 5.961013645224e-01 0.000000000000e+00 2.205575048733e-02 3.700000000000e+00 1.788304093567e-02 3.000000000000e+00 1.565456721113e-02 2.626158593627e+00 5.961013645224e-04 1.000000000000e-01 1.192202729045e-02 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.503625730994e-02 4.200000000000e+00 1.192202729045e-03 2.000000000000e-01 2.384405458090e-03 4.000000000000e-01 2.980506822612e-03 5.000000000000e-01 4.172709551657e-02 7.000000000000e+00 4.113099415205e-02 6.900000000000e+00 5.961013645224e-03 1.000000000000e+00 5.961013645224e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086354775828e-02 3.500000000000e+00 5.961013645224e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.430643274854e-02 2.400000000000e+00 5.961013645224e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.145964912281e-02 3.600000000000e+00 2.205575048733e-02 3.700000000000e+00 4.768810916179e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.000000000000e-01 1.630346849047e-03 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 3.493600390816e-03 4.500000000000e+00 7.763556424035e-05 1.000000000000e-01 7.763556424035e-05 1.000000000000e-01 1.552711284807e-04 2.000000000000e-01 5.822667318026e-03 7.500000000000e+00 6.521387396190e-03 8.400000000000e+00 9.316267708842e-04 1.200000000000e+00 7.763556424035e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.785617977528e-03 2.300000000000e+00 7.763556424035e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.707982413288e-03 2.200000000000e+00 7.763556424035e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.561973619932e-03 3.300000000000e+00 3.260693698095e-03 4.200000000000e+00 7.763556424035e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.760000000000e+03 2.990205680705e-02 0.000000000000e+00 1.106376101861e-03 3.700000000000e+00 1.883829578844e-03 6.300000000000e+00 9.390135894763e-04 3.140297657567e+00 3.588246816846e-04 1.200000000000e+00 6.279431929481e-04 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.422066601371e-03 8.100000000000e+00 1.495102840353e-04 5.000000000000e-01 1.196082272282e-04 4.000000000000e-01 8.970617042116e-05 3.000000000000e-01 2.750989226249e-03 9.200000000000e+00 3.498540646425e-03 1.170000000000e+01 8.073555337904e-04 2.700000000000e+00 2.990205680705e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913731635651e-03 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.093143976494e-03 7.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.824025465230e-03 6.100000000000e+00 2.511772771792e-03 8.400000000000e+00 6.877473065622e-04 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2.923297858267e-08 4.396382464331e-08 4.174628864383e-07 6.278274067270e-07 1.491199289030e-07 2.242632370346e-07 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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9.871497584541e-01 3.400000000000e+00 5.806763285024e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.161352657005e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.806763285024e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.903381642512e-02 1.000000000000e-01 4.645410628019e-01 1.600000000000e+00 2.903381642512e-02 1.000000000000e-01 8.157040662263e-04 2.809496534257e-03 -4.776698416749e-03 -1.645218922241e-02 -3.285776251881e-02 -1.131706629184e-01 9.488381963680e-02 3.268045035743e-01 1.073412551960e-01 3.697111451841e-01 -2.238882672016e-01 -7.711293063350e-01 -4.486128296209e-01 -1.545139030475e+00 7.774905702524e-02 2.677879335146e-01 -4.410069718687e-02 -1.518942482143e-01 1.175230363352e-02 4.047798422861e-02 -4.401158657498e-03 -1.515873281368e-02 1.053887417747e-03 3.629861821525e-03 -2.877682544905e-04 -9.911485637195e-04 5.166993985236e-05 1.779646846828e-04 -2.007396242896e-05 -6.913993715132e-05 7.948909126567e-06 2.737810630947e-05 -9.592549395200e-08 -3.303923003006e-07 -1.363911731384e-06 -4.697666029893e-06 -4.864323356675e-07 -1.675399226010e-06 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.370441533236e-01 3.700000000000e+00 1.281319747695e-01 2.000000000000e+00 1.150981278248e-01 1.796555903112e+00 1.281319747695e-02 2.000000000000e-01 3.843959243086e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.609898107715e-02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.406598738476e-03 1.000000000000e-01 1.729781659389e-01 2.700000000000e+00 1.281319747695e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.921979621543e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.281319747695e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.969238233867e-02 1.400000000000e+00 6.406598738476e-03 1.000000000000e-01 1.333214007170e-07 2.081001263843e-06 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1.490696541646e-03 2.000000000000e-01 2.981393083293e-03 4.000000000000e-01 1.788835849976e-02 2.400000000000e+00 2.236044812470e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.236044812470e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.490696541646e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.490696541646e-03 2.000000000000e-01 1.490696541646e-02 2.000000000000e+00 1.490696541646e-03 2.000000000000e-01 -2.248470239416e-09 -3.016670632284e-07 -3.787241508543e-11 -5.081170315671e-09 -9.360956821108e-07 -1.255917158132e-04 3.017066425878e-06 4.047861307233e-04 2.261165554046e-05 3.033703360643e-03 3.940651784490e-05 5.286993931224e-03 -1.789119829861e-03 -2.400381002944e-01 6.436050503064e-05 8.634957314593e-03 1.358045562858e-02 1.822028192751e+00 2.288129197531e-03 3.069879259268e-01 -4.939815901791e-02 -6.627527150946e+00 -4.190932064738e-02 -5.622783641947e+00 1.542078299442e-02 2.068936576105e+00 -4.962124255647e-03 -6.657457258426e-01 1.999692358303e-03 2.682896622400e-01 -1.006279603918e-03 -1.350079745682e-01 1.709466380571e-05 2.293513579474e-03 1.864939519216e-04 2.502104844433e-02 7.237269933030e-05 9.709917117050e-03 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.949317738791e+00 1.284990253411e-03 4.000000000000e-01 2.248732943470e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.103703703704e-03 1.900000000000e+00 6.424951267057e-04 2.000000000000e-01 6.424951267057e-04 2.000000000000e-01 1.284990253411e-03 4.000000000000e-01 7.067446393762e-03 2.200000000000e+00 6.424951267057e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.424951267057e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.424951267057e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.637426900585e-04 3.000000000000e-01 6.424951267057e-03 2.000000000000e+00 3.212475633528e-04 1.000000000000e-01 -8.699408581027e-10 -2.708007646885e-07 2.866242847370e-09 8.922224397458e-07 -3.813018472769e-08 -1.186940823137e-05 -1.165217650605e-06 -3.627164167234e-04 1.607184775007e-06 5.002947752296e-04 1.046954895784e-04 3.259028286028e-02 -4.895033378025e-05 -1.523757356145e-02 -1.420425921852e-03 -4.421592827124e-01 3.116906198957e-04 9.702505340199e-02 9.830948692654e-03 3.060240703478e+00 2.266718077793e-03 7.055985278566e-01 -3.464909068569e-02 -1.078579097194e+01 -2.690876281852e-02 -8.376332115231e+00 5.700591198671e-03 1.774516556382e+00 -4.253243248190e-03 -1.323976812088e+00 2.195470840552e-03 6.834202313125e-01 -4.473377107502e-05 -1.392501490381e-02 -4.506041762972e-04 -1.402669553644e-01 -1.781133491160e-04 -5.544426462167e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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8.74000e+00 + 14 JET 2.500000000000e-01 1.432622500000e+05 2.760000000000e+03 1.124878048780e-01 0.000000000000e+00 4.162048780488e-03 3.700000000000e+00 1.574829268293e-03 1.400000000000e+00 2.200364365696e-03 1.956091478611e+00 4.499512195122e-04 4.000000000000e-01 1.012390243902e-03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.362243902439e-03 2.100000000000e+00 3.374634146341e-04 3.000000000000e-01 3.374634146341e-04 3.000000000000e-01 6.749268292683e-04 6.000000000000e-01 2.474731707317e-03 2.200000000000e+00 2.249756097561e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.249756097561e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.249756097561e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.499512195122e-04 4.000000000000e-01 2.699707317073e-03 2.400000000000e+00 2.249756097561e-04 2.000000000000e-01 -6.961746377816e-12 -6.188889884876e-09 2.112928130415e-10 1.878361954619e-07 2.178178619962e-08 1.936368677764e-05 -1.677208077143e-07 -1.491013251580e-04 -4.950679582732e-07 -4.401081155508e-04 6.633528500719e-06 5.897109031428e-03 5.614741967247e-05 4.991422824309e-02 -1.210291904513e-04 -1.075931658391e-01 -7.104648065089e-04 -6.315927377898e-01 6.938377484211e-04 6.168115283015e-01 4.563373101866e-03 4.056771404521e+00 -4.115552615282e-04 -3.658665594679e-01 -1.725058558157e-02 -1.533551623686e+01 -1.494979501655e-02 -1.329014734776e+01 6.205013898995e-03 5.516165868577e+00 -5.758841938925e-03 -5.119525574500e+00 1.413618976133e-04 1.256686427178e-01 1.206761381131e-03 1.072793075160e+00 5.225017581404e-04 4.644963591448e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.589653489507e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.768960468521e-04 6.000000000000e-01 2.146032210835e-03 2.700000000000e+00 1.589653489507e-04 2.000000000000e-01 2.720654874729e-12 3.422953357681e-09 -1.412589749931e-12 -1.777229766430e-09 1.292433351157e-09 1.626056696869e-06 2.812271409316e-09 3.538219401749e-06 -4.135969595817e-08 -5.203611507939e-05 -1.504664708443e-06 -1.893072570061e-03 9.030290191507e-06 1.136133157460e-02 4.932012438775e-05 6.205141524653e-02 -1.382816592881e-04 -1.739771091007e-01 -6.286048783031e-04 -7.908703153893e-01 5.507952449983e-04 6.929752284180e-01 4.132026433809e-03 5.198650474564e+00 2.432528210396e-05 3.060450879959e-02 -1.817487689748e-02 -2.286646368840e+01 -7.166791435709e-03 -9.016797035348e+00 5.285128563827e-03 6.649409570970e+00 -2.357803794739e-04 -2.966437415830e-01 -1.741303533298e-03 -2.190796352528e+00 -7.278553330112e-04 -9.157408678251e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-2.703504967257e-07 -2.181551683586e-03 -6.832148373047e-07 -5.513096874704e-03 8.441571643179e-06 6.811796188034e-02 2.044362802039e-05 1.649667067997e-01 -5.919672805052e-05 -4.776788772556e-01 -1.985858565104e-04 -1.602457975309e+00 2.484719794621e-04 2.005006359095e+00 1.761513705814e-03 1.421426347323e+01 -1.395897753034e-03 -1.126398186846e+01 -4.820813065770e-03 -3.890080834790e+01 -1.509497416605e-03 -1.218065685266e+01 -4.440210164085e-03 -3.582959186779e+01 -2.032098378005e-03 -1.639770479966e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.017595307918e-02 0.000000000000e+00 3.765102639296e-04 3.700000000000e+00 6.105571847507e-05 6.000000000000e-01 2.093636712621e-04 2.057435501452e+00 6.105571847507e-05 6.000000000000e-01 1.119354838710e-04 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.645747800587e-04 2.600000000000e+00 4.070381231672e-05 4.000000000000e-01 5.087976539589e-05 5.000000000000e-01 1.221114369501e-04 1.200000000000e+00 1.628152492669e-04 1.600000000000e+00 3.052785923754e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.035190615836e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.017595307918e-04 1.000000000000e+00 3.358064516129e-04 3.300000000000e+00 2.035190615836e-05 2.000000000000e-01 -8.964182907752e-18 -8.809182626926e-14 7.833309260670e-16 7.697862991033e-12 4.182495836604e-13 4.110176023867e-09 -1.125050154435e-11 -1.105596837644e-07 -3.155228497487e-11 -3.100671232400e-07 5.202588086760e-09 5.112629791312e-05 9.985498908608e-09 9.812838985116e-05 -3.423524834139e-07 -3.364328439312e-03 -3.499621065495e-07 -3.439108885689e-03 8.633220131392e-06 8.483942549869e-02 1.361506450693e-05 1.337964552410e-01 -6.656609759665e-05 -6.541509879095e-01 -1.795461576962e-04 -1.764416131827e+00 3.694727577016e-04 3.630841797586e+00 1.271901468080e-03 1.249908935491e+01 -7.648373742703e-04 -7.516125205365e+00 1.497449155802e-03 1.471556663195e+01 -5.490172028737e-03 -5.395241100287e+01 2.144500228026e-03 2.107419532440e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.112958435208e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.121271393643e-05 1.100000000000e+00 1.836381418093e-04 3.300000000000e+00 1.112958435208e-05 2.000000000000e-01 1.731606719203e-18 3.111718577127e-14 -6.147000074372e-19 -1.104623475579e-14 2.950563071301e-14 5.302198137794e-10 -2.387501799187e-13 -4.290370104866e-09 -4.346294210517e-12 -7.810344165649e-08 -6.617144658184e-11 -1.189109035675e-06 5.847860981854e-09 1.050867812644e-04 1.502491998901e-09 2.699996606110e-05 -2.940132830583e-07 -5.283454866909e-03 -2.462266392092e-07 -4.424722998092e-03 5.973958107281e-06 1.073527621212e-01 1.521688937247e-05 2.734493740483e-01 -5.095812865571e-05 -9.157238409572e-01 -2.243905180970e-04 -4.032325215363e+00 3.620358107900e-04 6.505828058572e+00 1.112528512425e-03 1.999227423470e+01 -1.442149024855e-03 -2.591559539391e+01 -1.921215717376e-04 -3.452448279467e+00 4.874029869950e-03 8.758691638004e+01 0.000000000000e+00 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1.820055484282e-09 -1.357357606989e-08 -6.405371758225e-10 4.581579965183e-09 2.162047994275e-10 1.282948351151e-10 6.054234413547e-12 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.187333657115e+00 3.900000000000e+00 1.121709567751e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.486838271005e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608547838757e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.121709567751e-01 2.000000000000e-01 7.851966974259e-01 1.400000000000e+00 5.608547838757e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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6.840504062847e-08 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.718615984405e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.928265107212e-01 1.600000000000e+00 2.455165692008e-02 1.000000000000e-01 2.455165692008e-02 1.000000000000e-01 4.910331384016e-02 2.000000000000e-01 7.856530214425e-01 3.200000000000e+00 7.365497076023e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.473099415205e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.455165692008e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.455165692008e-02 1.000000000000e-01 3.191715399610e-01 1.300000000000e+00 2.455165692008e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-3.009720252455e-04 -1.225872560150e-03 1.018116160082e-04 4.146832791758e-04 -3.323779337421e-05 -1.353790234297e-04 1.173791121535e-05 4.780903893193e-05 -3.980091252829e-06 -1.621109021597e-05 -1.121984843528e-07 -4.569894598888e-07 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.760000000000e+03 1.106008793356e+01 0.000000000000e+00 4.092232535418e-01 3.700000000000e+00 6.636052760137e-02 6.000000000000e-01 1.352927447478e-01 1.223251981001e+00 0.000000000000e+00 0.000000000000e+00 8.848070346849e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.101416707377e-01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.649829018075e-01 3.300000000000e+00 3.318026380068e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.636052760137e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.212017586712e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.212017586712e-02 2.000000000000e-01 1.990815828041e-01 1.800000000000e+00 2.212017586712e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -2.516431301251e-04 -2.275236251617e-03 -3.452109259084e-04 -3.121231295647e-03 -4.018688140253e-03 -3.633504692181e-02 -7.773743258016e-03 -7.028645074717e-02 3.946962372878e-02 3.568653700212e-01 5.063675785922e-02 4.578332302907e-01 -2.045946727488e-01 -1.849846709880e+00 -2.067983896599e-01 -1.869771659160e+00 6.353043005717e-02 5.744116180523e-01 -2.649697880266e-02 -2.395729488032e-01 8.496839739175e-03 7.682434163468e-02 -2.661089844354e-03 -2.406029554502e-02 7.567183894570e-04 6.841884024817e-03 -2.598357597611e-04 -2.349310071692e-03 8.578224369584e-05 7.756018235220e-04 -3.051898752642e-05 -2.759380188453e-04 1.048130817295e-05 9.476695154603e-05 3.005324637670e-07 2.717270111886e-06 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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5.047479197259e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.047479197259e-03 1.000000000000e-01 8.580714635340e-02 1.700000000000e+00 1.009495839452e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -2.085023928456e-06 -4.130822232191e-05 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1.053974484789e-03 1.000000000000e-01 1.053974484789e-03 1.000000000000e-01 2.107948969578e-03 2.000000000000e-01 2.951128557409e-02 2.800000000000e+00 3.161923454367e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.269872423945e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.053974484789e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.053974484789e-03 1.000000000000e-01 2.107948969578e-02 2.000000000000e+00 1.053974484789e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-1.169122447228e-01 4.627786914621e-04 4.390795964617e-02 -1.706889806407e-04 -1.619479248351e-02 -5.315729727490e-06 -5.043508931390e-04 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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7.261296660118e-03 1.500000000000e+00 4.279742628753e-03 8.840864440079e-01 1.452259332024e-03 3.000000000000e-01 3.872691552063e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.681728880157e-03 2.000000000000e+00 4.840864440079e-04 1.000000000000e-01 4.840864440079e-04 1.000000000000e-01 1.452259332024e-03 3.000000000000e-01 1.258624754420e-02 2.600000000000e+00 1.936345776031e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.936345776031e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.840864440079e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.840864440079e-04 1.000000000000e-01 1.016581532417e-02 2.100000000000e+00 4.840864440079e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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9.000000000000e-01 1.490649606299e-03 2.500000000000e+00 1.788779527559e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.192519685039e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.962598425197e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.577559055118e-04 6.000000000000e-01 1.788779527559e-03 3.000000000000e+00 1.192519685039e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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5.000000000000e-01 3.087149187592e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.335302806499e-04 2.700000000000e+00 1.234859675037e-04 4.000000000000e-01 1.234859675037e-04 4.000000000000e-01 3.087149187592e-04 1.000000000000e+00 6.483013293944e-04 2.100000000000e+00 1.234859675037e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.087149187592e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.087149187592e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.161004431315e-04 7.000000000000e-01 1.018759231905e-03 3.300000000000e+00 6.174298375185e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.546582156658e+00 2.835930313234e-03 9.186243167749e+00 -2.612717754432e-03 -8.463205357658e+00 -1.036161747295e-02 -3.356370827363e+01 -3.592291145696e-03 -1.163627323271e+01 3.237225730878e-03 1.048613310911e+01 2.434031006014e-04 7.884397086467e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-3.857470722553e-05 -2.283576881749e+00 1.507081056822e-05 8.921740974363e-01 3.458485252696e-04 2.047382219326e+01 2.280771719245e-04 1.350189786319e+01 -2.845108331986e-03 -1.684270362704e+02 1.615684076181e-03 9.564657958402e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.00593e-04 5.95500e+00 + 67 JET 2.250000000000e+00 6.241000000000e+03 2.760000000000e+03 1.635585156993e+03 0.000000000000e+00 6.051665080875e+01 3.700000000000e+00 3.434728829686e+01 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-8.551426934674e-01 -1.468511780382e-01 -7.200690421713e-02 6.029364090574e-02 2.956434182961e-02 -5.680863358001e-05 -2.785550576814e-05 1.887287022569e-06 9.254110023481e-07 1.094106730769e-06 5.364835312746e-07 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.08496e+01 5.32000e+00 + 70 JET 2.250000000000e+00 1.525225000000e+04 2.760000000000e+03 5.546112988894e+01 0.000000000000e+00 2.052061805891e+00 3.700000000000e+00 1.164683727668e+00 2.100000000000e+00 1.098628022124e+00 1.980897295680e+00 0.000000000000e+00 0.000000000000e+00 5.546112988894e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.552911636890e+00 2.800000000000e+00 2.773056494447e-01 5.000000000000e-01 3.882279092226e-01 7.000000000000e-01 4.991501690005e-01 9.000000000000e-01 3.383128923225e+00 6.100000000000e+00 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1.658707482993e-01 3.700000000000e+00 1.479387755102e-01 3.300000000000e+00 1.061807839721e-01 2.368524316220e+00 0.000000000000e+00 0.000000000000e+00 6.724489795918e-02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 1.479387755102e-01 3.300000000000e+00 8.965986394558e-03 2.000000000000e-01 4.482993197279e-03 1.000000000000e-01 1.344897959184e-02 3.000000000000e-01 2.555306122449e-01 5.700000000000e+00 2.331156462585e-01 5.200000000000e+00 2.689795918367e-02 6.000000000000e-01 4.482993197279e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210408163265e-01 2.700000000000e+00 8.965986394558e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.621088435374e-02 1.700000000000e+00 8.965986394558e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.479387755102e-01 3.300000000000e+00 1.210408163265e-01 2.700000000000e+00 1.793197278912e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 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1.493361702989e-03 2.505214367670e-01 1.430532795260e-03 2.399814663074e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.11761e-02 5.23000e+00 + 74 JET 2.250000000000e+00 4.326400000000e+04 2.760000000000e+03 7.763556424035e-02 0.000000000000e+00 2.872515876893e-03 3.700000000000e+00 2.717244748412e-03 3.500000000000e+00 2.199410554025e-03 2.832993584250e+00 2.329066927211e-04 3.000000000000e-01 1.630346849047e-03 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 3.493600390816e-03 4.500000000000e+00 7.763556424035e-05 1.000000000000e-01 7.763556424035e-05 1.000000000000e-01 1.552711284807e-04 2.000000000000e-01 5.822667318026e-03 7.500000000000e+00 6.521387396190e-03 8.400000000000e+00 9.316267708842e-04 1.200000000000e+00 7.763556424035e-05 1.000000000000e-01 0.000000000000e+00 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8.160888436199e-02 -5.406767451059e-05 -6.964292079233e-02 5.092218603487e-05 6.559131312193e-02 6.071398716525e-03 7.820383320367e+00 4.762546925990e-03 6.134491289644e+00 -8.097224505692e-03 -1.042978766873e+01 -2.025068049648e-02 -2.608428327228e+01 -8.107021810452e-03 -1.044240727787e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.62675e-03 4.67150e+00 + 75 JET 2.250000000000e+00 5.405625000000e+04 2.760000000000e+03 2.990205680705e-02 0.000000000000e+00 1.106376101861e-03 3.700000000000e+00 1.883829578844e-03 6.300000000000e+00 9.390135894763e-04 3.140297657567e+00 3.588246816846e-04 1.200000000000e+00 6.279431929481e-04 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.422066601371e-03 8.100000000000e+00 1.495102840353e-04 5.000000000000e-01 1.196082272282e-04 4.000000000000e-01 8.970617042116e-05 3.000000000000e-01 2.750989226249e-03 9.200000000000e+00 3.498540646425e-03 1.170000000000e+01 8.073555337904e-04 2.700000000000e+00 2.990205680705e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913731635651e-03 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.093143976494e-03 7.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.824025465230e-03 6.100000000000e+00 2.511772771792e-03 8.400000000000e+00 6.877473065622e-04 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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8.190250000000e+03 2.760000000000e+03 1.193973634652e+02 0.000000000000e+00 4.417702448211e+00 3.700000000000e+00 4.895291902072e+00 4.100000000000e+00 5.284064108157e+00 4.425612052731e+00 0.000000000000e+00 0.000000000000e+00 1.193973634652e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.029755178908e+00 1.700000000000e+00 8.357815442561e-01 7.000000000000e-01 9.551789077213e-01 8.000000000000e-01 1.313370998117e+00 1.100000000000e+00 9.551789077213e+00 8.000000000000e+00 8.238418079096e+00 6.900000000000e+00 0.000000000000e+00 0.000000000000e+00 1.552165725047e+00 1.300000000000e+00 2.387947269303e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.802900188324e+01 1.510000000000e+01 2.387947269303e-01 2.000000000000e-01 1.313370998117e+00 1.100000000000e+00 5.253483992467e+00 4.400000000000e+00 2.387947269303e-01 2.000000000000e-01 7.163841807910e+00 6.000000000000e+00 1.432768361582e+00 1.200000000000e+00 1.074576271186e+00 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.168546747145e-01 9.787039790755e-02 -1.134425137028e-02 -9.501257851133e-03 3.568913090742e-04 2.989105443508e-04 1.975086241262e-06 1.654212609007e-06 5.38243e+00 4.50800e+00 + 78 JET 2.750000000000e+00 1.113025000000e+04 2.760000000000e+03 2.609433962264e+01 0.000000000000e+00 9.654905660377e-01 3.700000000000e+00 1.409094339623e+00 5.400000000000e+00 1.181630473478e+00 4.528301886792e+00 0.000000000000e+00 0.000000000000e+00 3.392264150943e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 8.089245283019e-01 3.100000000000e+00 1.304716981132e-01 5.000000000000e-01 1.565660377358e-01 6.000000000000e-01 3.131320754717e-01 1.200000000000e+00 2.035358490566e+00 7.800000000000e+00 2.009264150943e+00 7.700000000000e+00 0.000000000000e+00 0.000000000000e+00 4.696981132075e-01 1.800000000000e+00 2.609433962264e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.026943396226e+00 1.160000000000e+01 0.000000000000e+00 0.000000000000e+00 4.436037735849e-01 1.700000000000e+00 9.133018867925e-01 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 1.356905660377e+00 5.200000000000e+00 5.479811320755e-01 2.100000000000e+00 2.087547169811e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.198979688238e-01 3.200000000000e+00 3.746811525744e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.009088332546e-01 1.070000000000e+01 3.746811525744e-03 1.000000000000e-01 9.741709966934e-02 2.600000000000e+00 1.985810108644e-01 5.300000000000e+00 3.746811525744e-03 1.000000000000e-01 1.873405762872e-01 5.000000000000e+00 1.423788379783e-01 3.800000000000e+00 5.994898441190e-02 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.100000000000e+00 5.737340274491e-03 1.500000000000e+00 9.562233790819e-03 2.500000000000e+00 6.961306199716e-02 1.820000000000e+01 7.994027449124e-02 2.090000000000e+01 0.000000000000e+00 0.000000000000e+00 2.371433980123e-02 6.200000000000e+00 3.824893516327e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.584344533838e-02 1.460000000000e+01 3.824893516327e-04 1.000000000000e-01 2.409682915286e-02 6.300000000000e+00 4.169133932797e-02 1.090000000000e+01 3.824893516327e-04 1.000000000000e-01 2.409682915286e-02 6.300000000000e+00 2.868670137246e-02 7.500000000000e+00 2.333185044960e-02 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.19522e-03 1.62600e+01 diff --git a/nnpdfcpp/data/commondata/DATA_CMSJETS11_SF.dat b/nnpdfcpp/data/commondata/DATA_CMSJETS11_SF.dat index ef446f1342..e7977e373a 100644 --- a/nnpdfcpp/data/commondata/DATA_CMSJETS11_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_CMSJETS11_SF.dat @@ -1,134 +1,134 @@ -CMSJETS11 24 133 - 1 JET 2.500000000000e-01 1.525225000000e+04 7.000000000000e+03 2.641002685765e+03 3.169203222919e+01 5.810205908684e+01 2.200000000000e+00 2.641002685765e+01 1.000000000000e+00 4.492305374176e+01 1.700984780662e+00 8.715308863026e+01 3.300000000000e+00 7.001148185917e+01 2.650943228362e+00 3.834004643315e+01 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 7.529173967043e+01 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 2.441511151570e+00 2.000000000000e-01 9.196268644252e+00 7.533259586660e-01 3.784342284934e+01 3.100000000000e+00 1.232902696618e+01 1.009950493836e+00 2.685662266727e+01 2.200000000000e+00 4.316022729045e+00 3.535533905933e-01 4.316022729045e+00 3.535533905933e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 3 JET 2.500000000000e-01 2.673225000000e+04 7.000000000000e+03 5.898844946931e+02 9.452330410706e+00 1.299695431472e+01 2.200000000000e+00 5.907706506691e+00 1.000000000000e+00 6.282134939575e+00 1.063379660526e+00 1.566099455907e+01 2.650943228362e+00 1.625156264826e+01 2.750908940696e+00 9.756662700509e+00 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 1.388939366298e+01 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.181541301338e+00 2.000000000000e-01 3.862664347615e+00 6.538348415311e-01 1.654157821874e+01 2.800000000000e+00 5.627846304187e+00 9.526279441629e-01 1.211800071719e+01 2.051219149677e+00 2.506427599285e+00 4.242640687119e-01 2.506427599285e+00 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 4 JET 2.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.906303171642e+02 2.614365671642e+00 6.390671641791e+00 2.200000000000e+00 2.904850746269e+00 1.000000000000e+00 2.438773947427e+00 8.395522388060e-01 7.700594415224e+00 2.650943228362e+00 8.133582089552e+00 2.800000000000e+00 5.087636900341e+00 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 6.390671641791e+00 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.809701492537e-01 2.000000000000e-01 1.742910447761e+00 6.000000000000e-01 7.262126865672e+00 2.500000000000e+00 2.477652082470e+00 8.529361054616e-01 5.519216417910e+00 1.900000000000e+00 1.437827762715e+00 4.949747468306e-01 1.437827762715e+00 4.949747468306e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 5 JET 2.500000000000e-01 4.326400000000e+04 7.000000000000e+03 1.515867294118e+02 1.514352941176e+00 3.331576470588e+00 2.200000000000e+00 1.514352941176e+00 1.000000000000e+00 1.073695417572e+00 7.090126669797e-01 3.711709642325e+00 2.451020195755e+00 4.240188235294e+00 2.800000000000e+00 2.725835294118e+00 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 3.028705882353e+00 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.511270253027e-01 1.658312395178e-01 8.397493288853e-01 5.545268253205e-01 3.483011764706e+00 2.300000000000e+00 1.140801381170e+00 7.533259586660e-01 2.725835294118e+00 1.800000000000e+00 8.566473870525e-01 5.656854249492e-01 8.566473870525e-01 5.656854249492e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 6 JET 2.500000000000e-01 5.405625000000e+04 7.000000000000e+03 8.106928909953e+01 8.904265402844e-01 1.780853080569e+00 2.200000000000e+00 8.094786729858e-01 1.000000000000e+00 4.603670178118e-01 5.687203791469e-01 1.984048575521e+00 2.451020195755e+00 2.307724177779e+00 2.850877058030e+00 1.538009478673e+00 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 1.538009478673e+00 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.094786729858e-02 1.000000000000e-01 4.047393364929e-01 5.000000000000e-01 1.699905213270e+00 2.100000000000e+00 5.292653598745e-01 6.538348415311e-01 1.376113744076e+00 1.700000000000e+00 5.151490730047e-01 6.363961030679e-01 5.151490730047e-01 6.363961030679e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 7 JET 2.500000000000e-01 6.682225000000e+04 7.000000000000e+03 4.387971374046e+01 5.698664122137e-01 9.643893129771e-01 2.200000000000e+00 4.383587786260e-01 1.000000000000e+00 2.091406386574e-01 4.770992366412e-01 1.010129300545e+00 2.304343724361e+00 1.271240458015e+00 2.900000000000e+00 8.767175572519e-01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.677538340277e-01 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.383587786260e-02 1.000000000000e-01 1.996819268253e-01 4.555216789572e-01 8.328816793893e-01 1.900000000000e+00 2.630152671756e-01 6.000000000000e-01 7.013740458015e-01 1.600000000000e+00 3.099664649591e-01 7.071067811865e-01 3.099664649591e-01 7.071067811865e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 8 JET 2.500000000000e-01 8.179600000000e+04 7.000000000000e+03 2.397361151079e+01 3.833860911271e-01 5.271558752998e-01 2.200000000000e+00 2.396163069544e-01 1.000000000000e+00 8.207207225069e-02 3.425145529277e-01 5.653878654113e-01 2.359555042799e+00 7.070711410233e-01 2.950847335936e+00 5.031942446043e-01 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 3.957297949463e-01 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.396163069544e-02 1.000000000000e-01 9.584652278177e-02 4.000000000000e-01 4.196707065762e-01 1.751427988814e+00 1.328736699905e-01 5.545268253205e-01 3.594244604317e-01 1.500000000000e+00 1.863777470834e-01 7.778174593052e-01 1.863777470834e-01 7.778174593052e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 9 JET 2.500000000000e-01 9.922500000000e+04 7.000000000000e+03 1.343345857418e+01 9.394026974952e-02 2.952408477842e-01 2.200000000000e+00 1.342003853565e-01 1.000000000000e+00 3.878623854233e-02 2.890173410405e-01 3.020999417918e-01 2.251110836898e+00 4.026011560694e-01 3.000000000000e+00 2.952408477842e-01 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 2.082269370358e-01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.342003853565e-02 1.000000000000e-01 5.368015414258e-02 4.000000000000e-01 2.147206165703e-01 1.600000000000e+00 6.710019267823e-02 5.000000000000e-01 1.878805394990e-01 1.400000000000e+00 1.138728030281e-01 8.485281374239e-01 1.138728030281e-01 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 10 JET 2.500000000000e-01 1.197160000000e+05 7.000000000000e+03 7.574088050314e+00 6.053217223029e-02 1.664634736333e-01 2.200000000000e+00 7.566521528786e-02 1.000000000000e+00 1.902118973065e-02 2.513861839723e-01 1.740299951621e-01 2.300000000000e+00 2.308409189646e-01 3.050819562019e+00 1.740299951621e-01 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134978229318e-01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.566521528786e-03 1.000000000000e-01 3.026608611514e-02 4.000000000000e-01 1.134978229318e-01 1.500000000000e+00 3.783260764393e-02 5.000000000000e-01 1.022880654345e-01 1.351850583460e+00 7.490474156198e-02 9.899494936612e-01 7.490474156198e-02 9.899494936612e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 11 JET 2.500000000000e-01 1.432622500000e+05 7.000000000000e+03 4.357839398350e+00 2.616011644833e-02 9.592042697720e-02 2.200000000000e+00 4.360019408054e-02 1.000000000000e+00 1.099239466774e-02 2.521180214802e-01 9.611840536528e-02 2.204540768505e+00 1.373752103242e-01 3.150793550838e+00 1.046404657933e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 6.104027171276e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.360019408054e-03 1.000000000000e-01 1.308005822416e-02 3.000000000000e-01 6.104027171276e-02 1.400000000000e+00 1.744007763222e-02 4.000000000000e-01 5.668025230471e-02 1.300000000000e+00 4.624498934310e-02 1.060660171780e+00 4.624498934310e-02 1.060660171780e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 12 JET 2.500000000000e-01 1.701562500000e+05 7.000000000000e+03 2.557299270073e+00 1.532846715328e-02 5.620437956204e-02 2.200000000000e+00 2.554744525547e-02 1.000000000000e+00 4.123177141827e-03 1.613929338372e-01 5.875912408759e-02 2.300000000000e+00 8.049472575133e-02 3.150793550838e+00 6.386861313869e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.453632877451e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.554744525547e-03 1.000000000000e-01 7.664233576642e-03 3.000000000000e-01 3.321167883212e-02 1.300000000000e+00 1.021897810219e-02 4.000000000000e-01 3.065693430657e-02 1.200000000000e+00 3.071011202963e-02 1.202081528017e+00 3.071011202963e-02 1.202081528017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 13 JET 2.500000000000e-01 2.016010000000e+05 7.000000000000e+03 1.488408787025e+00 1.038555392875e-02 3.264031234749e-02 2.200000000000e+00 1.483650561249e-02 1.000000000000e+00 2.401518902716e-03 1.618655339363e-01 3.339861856598e-02 2.251110836898e+00 4.823005458693e-02 3.250769139758e+00 3.933073408600e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 2.005673876875e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.554523227384e-04 1.000000000000e-01 2.566356968215e-03 3.000000000000e-01 9.409975550122e-03 1.100000000000e+00 3.054575768433e-03 3.570714214271e-01 9.409975550122e-03 1.100000000000e+00 1.209792276780e-02 1.414213562373e+00 1.209792276780e-02 1.414213562373e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 15 JET 2.500000000000e-01 2.782562500000e+05 7.000000000000e+03 5.072870588235e-01 2.025098039216e-03 1.113803921569e-02 2.200000000000e+00 5.062745098039e-03 1.000000000000e+00 4.963475586313e-04 9.803921568627e-02 1.164431372549e-02 2.300000000000e+00 1.747013885890e-02 3.450724561596e+00 1.468196078431e-02 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 6.581568627451e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.062745098039e-04 1.000000000000e-01 1.315339760336e-03 2.598076211353e-01 5.327922871997e-03 1.052378258992e+00 1.518823529412e-03 3.000000000000e-01 5.327922871997e-03 1.052378258992e+00 7.875783058533e-03 1.555634918610e+00 7.875783058533e-03 1.555634918610e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 16 JET 2.500000000000e-01 3.249000000000e+05 7.000000000000e+03 3.028135493373e-01 1.511045655376e-03 6.648600883652e-03 2.200000000000e+00 3.022091310751e-03 1.000000000000e+00 2.569668971690e-04 8.502949472600e-02 6.803062499727e-03 2.251110836898e+00 1.073055217543e-02 3.550704155516e+00 9.219855289048e-03 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 3.783653493435e-03 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3.237516757913e-04 4.350574674684e+00 3.017972965925e-04 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 9.674059405941e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.234047124966e-05 1.658312395178e-01 4.865566998958e-05 6.538348415311e-01 1.488316831683e-05 2.000000000000e-01 5.605938520132e-05 7.533259586660e-01 2.236657221682e-04 3.005619736427e+00 2.236657221682e-04 3.005619736427e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 24 JET 2.500000000000e-01 9.990002500000e+05 7.000000000000e+03 4.174406553461e-03 1.209722497522e-04 9.177205153617e-05 2.200000000000e+00 4.171456888008e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.044531472023e-04 2.503996805110e+00 1.878082361250e-04 4.502221673796e+00 1.775076221981e-04 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 5.639186427930e-05 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.917578663333e-06 1.658312395178e-01 2.502874132805e-05 6.000000000000e-01 8.342913776016e-06 2.000000000000e-01 3.142466759192e-05 7.533259586660e-01 1.342259840833e-04 3.217724351153e+00 1.342259840833e-04 3.217724351153e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 25 JET 2.500000000000e-01 1.137422250000e+06 7.000000000000e+03 2.307679516669e-03 8.752428146680e-05 5.067195242815e-05 2.200000000000e+00 2.303270564916e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.105839507150e-05 2.650943228362e+00 1.072134719188e-04 4.654836194755e+00 1.028185243014e-04 4.464022849404e+00 0.000000000000e+00 0.000000000000e+00 3.113677657047e-05 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.819542127248e-06 1.658312395178e-01 1.381962338949e-05 6.000000000000e-01 4.606541129832e-06 2.000000000000e-01 1.612289395441e-05 7.000000000000e-01 7.983748453697e-05 3.466266002487e+00 7.983748453697e-05 3.466266002487e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 26 JET 2.500000000000e-01 1.291632250000e+06 7.000000000000e+03 1.458371765736e-03 6.849503968254e-05 3.206150793651e-05 2.200000000000e+00 1.457341269841e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.934821428571e-05 2.700000000000e+00 7.007372081973e-05 4.808326112069e+00 6.796196597074e-05 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 2.115656006554e-05 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.457341269841e-06 1.000000000000e-01 8.081348277736e-06 5.545268253205e-01 2.416727091782e-06 1.658312395178e-01 1.020138888889e-05 7.000000000000e-01 5.410594135719e-05 3.712647303475e+00 5.410594135719e-05 3.712647303475e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 27 JET 2.500000000000e-01 1.464100000000e+06 7.000000000000e+03 7.976516348082e-04 5.020615384615e-05 1.753230769231e-05 2.200000000000e+00 7.969230769231e-06 1.000000000000e+00 6.850179945186e-07 8.595785645504e-02 2.271929717014e-05 2.850877058030e+00 3.990985677067e-05 5.007993610220e+00 3.875332943131e-05 4.862869523234e+00 0.000000000000e+00 0.000000000000e+00 1.156911650926e-05 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.969230769231e-07 1.000000000000e-01 3.984615384615e-06 5.000000000000e-01 1.321547416465e-06 1.658312395178e-01 5.210560737125e-06 6.538348415311e-01 3.156660492903e-05 3.961060464068e+00 3.156660492903e-05 3.961060464068e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 28 JET 2.500000000000e-01 1.657656250000e+06 7.000000000000e+03 3.358888238386e-04 3.088897715988e-05 7.386494538232e-06 2.200000000000e+00 3.357497517378e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.007249255214e-05 3.000000000000e+00 1.751700123725e-05 5.217278984298e+00 1.684781414915e-05 5.017967716118e+00 0.000000000000e+00 0.000000000000e+00 5.058580071995e-06 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.357497517378e-07 1.000000000000e-01 1.678748758689e-06 5.000000000000e-01 5.567779749847e-07 1.658312395178e-01 2.195248857216e-06 6.538348415311e-01 1.424861187349e-05 4.243819034785e+00 1.424861187349e-05 4.243819034785e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 29 JET 2.500000000000e-01 1.872792250000e+06 7.000000000000e+03 1.780377232903e-04 2.244590163934e-05 3.919125683060e-06 2.200000000000e+00 1.781420765027e-06 1.000000000000e+00 1.532792486182e-07 8.604325919368e-02 5.706110672397e-06 3.203123475609e+00 9.672310948901e-06 5.429548784199e+00 9.393933539212e-06 5.273281710662e+00 0.000000000000e+00 0.000000000000e+00 2.764073951712e-06 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.781420765027e-07 1.000000000000e-01 8.907103825137e-07 5.000000000000e-01 2.954152135672e-07 1.658312395178e-01 1.164754963602e-06 6.538348415311e-01 8.063758070095e-06 4.526588119103e+00 8.063758070095e-06 4.526588119103e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 30 JET 2.500000000000e-01 2.112662250000e+06 7.000000000000e+03 9.441535899234e-05 1.576871769384e-05 2.077316103380e-06 2.200000000000e+00 9.442345924453e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.258293500059e-06 3.450724561596e+00 5.314623376051e-06 5.628498911788e+00 5.220686638507e-06 5.529014378712e+00 0.000000000000e+00 0.000000000000e+00 1.516665332620e-06 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.442345924453e-08 1.000000000000e-01 4.301193268802e-07 4.555216789572e-01 1.565835928608e-07 1.658312395178e-01 5.665407554672e-07 6.000000000000e-01 4.607922857976e-06 4.880061475023e+00 4.607922857976e-06 4.880061475023e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 31 JET 2.500000000000e-01 2.379306250000e+06 7.000000000000e+03 4.303357713624e-05 9.351178518150e-06 9.480457483839e-07 2.200000000000e+00 4.309298856290e-07 1.000000000000e+00 3.711548763846e-08 8.612883180353e-02 1.638667199009e-06 3.802630668366e+00 2.543125335841e-06 5.901482864501e+00 2.450150007240e-06 5.685727745856e+00 0.000000000000e+00 0.000000000000e+00 7.168865442408e-07 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.309298856290e-08 1.000000000000e-01 1.723719542516e-07 4.000000000000e-01 4.309298856290e-08 1.000000000000e-01 2.585579313774e-07 6.000000000000e-01 2.240576418018e-06 5.199399003731e+00 2.240576418018e-06 5.199399003731e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 32 JET 2.500000000000e-01 2.842596000000e+06 7.000000000000e+03 1.615864067860e-05 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1.000000000000e-01 7.664233576642e-03 3.000000000000e-01 3.321167883212e-02 1.300000000000e+00 1.021897810219e-02 4.000000000000e-01 3.065693430657e-02 1.200000000000e+00 3.071011202963e-02 1.202081528017e+00 3.071011202963e-02 1.202081528017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.565435 + 13 JET 2.500000000000e-01 2.016010000000e+05 7.000000000000e+03 1.488408787025e+00 1.038555392875e-02 3.264031234749e-02 2.200000000000e+00 1.483650561249e-02 1.000000000000e+00 2.401518902716e-03 1.618655339363e-01 3.339861856598e-02 2.251110836898e+00 4.823005458693e-02 3.250769139758e+00 3.933073408600e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 2.005673876875e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.483650561249e-03 1.000000000000e-01 4.450951683748e-03 3.000000000000e-01 1.780380673499e-02 1.200000000000e+00 5.934602244998e-03 4.000000000000e-01 1.709420429980e-02 1.152171862180e+00 1.942251024071e-02 1.309102746159e+00 1.942251024071e-02 1.309102746159e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.526004 + 14 JET 2.500000000000e-01 2.376562500000e+05 7.000000000000e+03 8.554523227384e-01 6.843618581907e-03 1.881995110024e-02 2.200000000000e+00 8.554523227384e-03 1.000000000000e+00 1.387390895140e-03 1.621821413377e-01 1.925717994166e-02 2.251110836898e+00 2.866403607338e-02 3.350746185553e+00 2.353271442960e-02 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 1.112088019560e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.500000000000e-01 2.379306250000e+06 7.000000000000e+03 4.303357713624e-05 9.351178518150e-06 9.480457483839e-07 2.200000000000e+00 4.309298856290e-07 1.000000000000e+00 3.711548763846e-08 8.612883180353e-02 1.638667199009e-06 3.802630668366e+00 2.543125335841e-06 5.901482864501e+00 2.450150007240e-06 5.685727745856e+00 0.000000000000e+00 0.000000000000e+00 7.168865442408e-07 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.309298856290e-08 1.000000000000e-01 1.723719542516e-07 4.000000000000e-01 4.309298856290e-08 1.000000000000e-01 2.585579313774e-07 6.000000000000e-01 2.240576418018e-06 5.199399003731e+00 2.240576418018e-06 5.199399003731e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.459166525472e+00 1.003164885408e-03 1.915150124664e+01 2.383599763819e-04 4.550549417378e+00 1.360884868125e-05 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 1.360884868125e-05 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 1.154749102399e-04 2.204540768505e+00 4.536282893751e-06 8.660254037844e-02 4.989911183126e-05 9.526279441629e-01 9.952291769345e-05 1.900000000000e+00 3.945957756876e-05 7.533259586660e-01 1.050225418460e-04 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 2.40553 + 130 JET 2.250000000000e+00 3.249000000000e+05 7.000000000000e+03 1.642065153011e-03 1.016209279368e-04 3.548667324778e-05 2.200000000000e+00 1.613030602172e-05 1.000000000000e+00 3.184660616331e-06 1.974333662389e-01 5.888666409767e-05 3.650684867254e+00 1.331190091539e-04 8.252726822087e+00 1.121578351093e-04 6.953236656407e+00 1.032339585390e-04 6.400000000000e+00 3.992861690067e-05 2.475378758897e+00 3.236086741805e-04 2.006215342380e+01 7.907141164588e-05 4.902040391510e+00 4.190776435687e-06 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 4.190776435687e-06 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 3.716976945316e-05 2.304343724361e+00 1.396925478562e-06 8.660254037844e-02 1.469540816221e-05 9.110433579144e-01 2.903455083909e-05 1.800000000000e+00 1.215137824739e-05 7.533259586660e-01 3.234116301038e-05 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 2.83688 + 131 JET 2.250000000000e+00 3.782250000000e+05 7.000000000000e+03 3.261751976285e-04 4.185009881423e-05 7.028260869565e-06 2.200000000000e+00 3.194664031621e-06 1.000000000000e+00 6.313565279883e-07 1.976284584980e-01 1.438308564366e-05 4.502221673796e+00 2.861454349281e-05 8.956980518009e+00 2.397701239160e-05 7.505331438384e+00 2.332104743083e-05 7.300000000000e+00 7.908003485687e-06 2.475378758897e+00 6.718884299238e-05 2.103158339260e+01 1.661839541351e-05 5.201922721456e+00 8.299980623819e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 8.299980623819e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 7.680493241264e-06 2.404163056034e+00 5.533320415880e-07 1.732050807569e-01 2.910477446776e-06 9.110433579144e-01 5.430928853755e-06 1.700000000000e+00 2.088782650860e-06 6.538348415311e-01 6.405281466510e-06 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 + 132 JET 2.250000000000e+00 4.382440000000e+05 7.000000000000e+03 9.262206231454e-05 2.275882294758e-05 1.994797230465e-06 2.200000000000e+00 9.067260138477e-07 1.000000000000e+00 1.793721095643e-07 1.978239366963e-01 5.169928781594e-06 5.701754116059e+00 8.803651236334e-06 9.709273917240e+00 7.396767164887e-06 8.157665107125e+00 7.435153313551e-06 8.200000000000e+00 2.299225472356e-06 2.535744466621e+00 1.989571559317e-05 2.194236769357e+01 5.079284573070e-06 5.601785429664e+00 2.355743286793e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 2.355743286793e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 2.360972468115e-06 2.603843313258e+00 1.570495524529e-07 1.732050807569e-01 7.733793549720e-07 8.529361054616e-01 1.541434223541e-06 1.700000000000e+00 5.440356083086e-07 6.000000000000e-01 1.727545076981e-06 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 + 133 JET 2.250000000000e+00 6.328202500000e+05 7.000000000000e+03 8.112404561230e-06 3.416162617749e-06 1.727714427367e-07 2.200000000000e+00 7.853247397124e-08 1.000000000000e+00 1.291337382355e-08 1.644335543062e-01 6.798730942288e-07 8.657222418305e+00 9.476351289754e-07 1.206679327742e+01 7.708993415101e-07 9.816312953446e+00 8.560039662866e-07 1.090000000000e+01 2.064000156262e-07 2.628212320190e+00 1.939302957440e-06 2.469428071437e+01 5.184333031523e-07 6.601514977640e+00 1.923644894680e-08 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 1.923644894680e-08 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 2.358590515578e-07 3.003331483536e+00 2.720444699246e-08 3.464101615138e-01 5.916055124080e-08 7.533259586660e-01 1.177987109569e-07 1.500000000000e+00 3.577324439605e-08 4.555216789572e-01 1.496244584585e-07 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 diff --git a/nnpdfcpp/data/commondata/DATA_POSF2DW.dat b/nnpdfcpp/data/commondata/DATA_POSF2DW.dat index 6ba6e09287..c737685223 100644 --- a/nnpdfcpp/data/commondata/DATA_POSF2DW.dat +++ b/nnpdfcpp/data/commondata/DATA_POSF2DW.dat @@ -1,21 +1,21 @@ POSF2DW 0 20 - 1 DIS_F2d 5.000000000000000e-07 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 2 DIS_F2d 1.940766723678214e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 3 DIS_F2d 7.533150951473337e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 4 DIS_F2d 2.924017738212866e-05 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 5 DIS_F2d 1.134967265153673e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 6 DIS_F2d 4.405413401348635e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 7 DIS_F2d 1.709975946676696e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 8 DIS_F2d 6.637328831200572e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 9 DIS_F2d 2.576301385940815e-02 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 10 DIS_F2d 1.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 11 DIS_F2d 1.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 12 DIS_F2d 2.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 13 DIS_F2d 3.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 14 DIS_F2d 4.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 15 DIS_F2d 5.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 16 DIS_F2d 5.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 17 DIS_F2d 6.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 18 DIS_F2d 7.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 19 DIS_F2d 8.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 20 DIS_F2d 9.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 + 1 DIS_F2d 5.000000000000e-07 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 DIS_F2d 1.940766723678e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 3 DIS_F2d 7.533150951473e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 DIS_F2d 2.924017738213e-05 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 DIS_F2d 1.134967265154e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 DIS_F2d 4.405413401349e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 DIS_F2d 1.709975946677e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 DIS_F2d 6.637328831201e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 DIS_F2d 2.576301385941e-02 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 DIS_F2d 1.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 DIS_F2d 1.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 DIS_F2d 2.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 DIS_F2d 3.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 DIS_F2d 4.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 DIS_F2d 5.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 DIS_F2d 5.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 DIS_F2d 6.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 DIS_F2d 7.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 DIS_F2d 8.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 DIS_F2d 9.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_POSF2S.dat b/nnpdfcpp/data/commondata/DATA_POSF2S.dat index e4daf973d9..4b749fb9e8 100644 --- a/nnpdfcpp/data/commondata/DATA_POSF2S.dat +++ b/nnpdfcpp/data/commondata/DATA_POSF2S.dat @@ -1,21 +1,21 @@ POSF2S 0 20 - 1 DIS_F2S 5.000000000000000e-07 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 2 DIS_F2S 1.940766723678214e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 3 DIS_F2S 7.533150951473337e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 4 DIS_F2S 2.924017738212866e-05 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 5 DIS_F2S 1.134967265153673e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 6 DIS_F2S 4.405413401348635e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 7 DIS_F2S 1.709975946676696e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 8 DIS_F2S 6.637328831200572e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 9 DIS_F2S 2.576301385940815e-02 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 10 DIS_F2S 1.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 11 DIS_F2S 1.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 12 DIS_F2S 2.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 13 DIS_F2S 3.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 14 DIS_F2S 4.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 15 DIS_F2S 5.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 16 DIS_F2S 5.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 17 DIS_F2S 6.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 18 DIS_F2S 7.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 19 DIS_F2S 8.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 20 DIS_F2S 9.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 + 1 DIS_F2S 5.000000000000e-07 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 DIS_F2S 1.940766723678e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 3 DIS_F2S 7.533150951473e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 DIS_F2S 2.924017738213e-05 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 DIS_F2S 1.134967265154e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 DIS_F2S 4.405413401349e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 DIS_F2S 1.709975946677e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 DIS_F2S 6.637328831201e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 DIS_F2S 2.576301385941e-02 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 DIS_F2S 1.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 DIS_F2S 1.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 DIS_F2S 2.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 DIS_F2S 3.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 DIS_F2S 4.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 DIS_F2S 5.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 DIS_F2S 5.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 DIS_F2S 6.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 DIS_F2S 7.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 DIS_F2S 8.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 DIS_F2S 9.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_POSF2U.dat b/nnpdfcpp/data/commondata/DATA_POSF2U.dat index 57090ca639..9ad2510810 100644 --- a/nnpdfcpp/data/commondata/DATA_POSF2U.dat +++ b/nnpdfcpp/data/commondata/DATA_POSF2U.dat @@ -1,21 +1,21 @@ POSF2U 0 20 - 1 DIS_F2U 5.000000000000000e-07 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 2 DIS_F2U 1.940766723678214e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 3 DIS_F2U 7.533150951473337e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 4 DIS_F2U 2.924017738212866e-05 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 5 DIS_F2U 1.134967265153673e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 6 DIS_F2U 4.405413401348635e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 7 DIS_F2U 1.709975946676696e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 8 DIS_F2U 6.637328831200572e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 9 DIS_F2U 2.576301385940815e-02 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 10 DIS_F2U 1.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 11 DIS_F2U 1.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 12 DIS_F2U 2.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 13 DIS_F2U 3.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 14 DIS_F2U 4.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 15 DIS_F2U 5.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 16 DIS_F2U 5.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 17 DIS_F2U 6.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 18 DIS_F2U 7.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 19 DIS_F2U 8.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 20 DIS_F2U 9.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 + 1 DIS_F2U 5.000000000000e-07 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 DIS_F2U 1.940766723678e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 3 DIS_F2U 7.533150951473e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 DIS_F2U 2.924017738213e-05 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 DIS_F2U 1.134967265154e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 DIS_F2U 4.405413401349e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 DIS_F2U 1.709975946677e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 DIS_F2U 6.637328831201e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 DIS_F2U 2.576301385941e-02 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 DIS_F2U 1.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 DIS_F2U 1.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 DIS_F2U 2.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 DIS_F2U 3.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 DIS_F2U 4.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 DIS_F2U 5.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 DIS_F2U 5.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 DIS_F2U 6.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 DIS_F2U 7.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 DIS_F2U 8.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 DIS_F2U 9.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_POSFLL.dat b/nnpdfcpp/data/commondata/DATA_POSFLL.dat index 4460686730..8201faf114 100644 --- a/nnpdfcpp/data/commondata/DATA_POSFLL.dat +++ b/nnpdfcpp/data/commondata/DATA_POSFLL.dat @@ -1,21 +1,21 @@ POSFLL 0 20 - 1 DIS_FLL 5.000000000000000e-07 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 2 DIS_FLL 1.940766723678214e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 3 DIS_FLL 7.533150951473337e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 4 DIS_FLL 2.924017738212866e-05 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 5 DIS_FLL 1.134967265153673e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 6 DIS_FLL 4.405413401348635e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 7 DIS_FLL 1.709975946676696e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 8 DIS_FLL 6.637328831200572e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 9 DIS_FLL 2.576301385940815e-02 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 10 DIS_FLL 1.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 11 DIS_FLL 1.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 12 DIS_FLL 2.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 13 DIS_FLL 3.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 14 DIS_FLL 4.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 15 DIS_FLL 5.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 16 DIS_FLL 5.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 17 DIS_FLL 6.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 18 DIS_FLL 7.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 19 DIS_FLL 8.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 20 DIS_FLL 9.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 + 1 DIS_FLL 5.000000000000e-07 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 DIS_FLL 1.940766723678e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 3 DIS_FLL 7.533150951473e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 DIS_FLL 2.924017738213e-05 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 DIS_FLL 1.134967265154e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 DIS_FLL 4.405413401349e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 DIS_FLL 1.709975946677e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 DIS_FLL 6.637328831201e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 DIS_FLL 2.576301385941e-02 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 DIS_FLL 1.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 DIS_FLL 1.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 DIS_FLL 2.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 DIS_FLL 3.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 DIS_FLL 4.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 DIS_FLL 5.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 DIS_FLL 5.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 DIS_FLL 6.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 DIS_FLL 7.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 DIS_FLL 8.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 DIS_FLL 9.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 From c3708a22281279d029b9f4ccc5308e7244c5218e Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sun, 24 Mar 2019 15:44:58 +0100 Subject: [PATCH 191/429] Added missing systype default files --- .../systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat | 3 ++- .../systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat | 3 ++- .../data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat | 3 ++- .../commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat | 3 ++- 4 files changed, 8 insertions(+), 4 deletions(-) diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat index 6fea947c3d..f19f892885 100644 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat @@ -1,4 +1,4 @@ -90 +91 1 MULT CORR 2 MULT CORR 3 MULT UNCORR @@ -89,3 +89,4 @@ 88 MULT CORR 89 MULT CORR 90 MULT CORR +91 MULT SKIP \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat index 3df2200260..38afd7dfe9 100644 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat @@ -1,4 +1,4 @@ -91 +92 1 MULT ATLASLUMI10 2 MULT CORR 3 MULT UNCORR @@ -90,3 +90,4 @@ 89 MULT CORR 90 MULT CORR 91 MULT CORR +92 MULT SKIP diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat index ea30499eae..69e99d14fc 100644 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat @@ -1,4 +1,4 @@ -25 +26 1 MULT CDFLUMI 2 MULT CORR 3 MULT CORR @@ -24,3 +24,4 @@ 23 MULT CORR 24 MULT CORR 25 MULT CORR +26 MULT SKIP diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat index 2790c86312..df25e510de 100644 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat @@ -1,4 +1,4 @@ -106 +107 1 MULT CMS2P76LUMI 2 MULT UNCORR 3 MULT CORR @@ -105,3 +105,4 @@ 104 ADD CORR 105 ADD CORR 106 ADD CORR +107 ADD SKIP From e1095d77b533c16b8c0ecfc043093066a0a1c76d Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sun, 24 Mar 2019 15:47:43 +0100 Subject: [PATCH 192/429] Added missing CMS single top 5 TeV data --- nnpdfcpp/data/commondata/DATA_CMSTTBARTOT5TEV.dat | 2 ++ .../commondata/systypes/SYSTYPE_CMSTTBARTOT5TEV_DEFAULT.dat | 3 +++ 2 files changed, 5 insertions(+) create mode 100644 nnpdfcpp/data/commondata/DATA_CMSTTBARTOT5TEV.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT5TEV_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT5TEV.dat b/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT5TEV.dat new file mode 100644 index 0000000000..c021ba9985 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT5TEV.dat @@ -0,0 +1,2 @@ +CMSTTBARTOT5TEV 2 1 + 1 INC 0.000000000000e+00 2.975625000000e+04 5.020000000000e+03 6.950000000000e+01 6.100000000000e+00 5.600000000000e+00 8.057553956835e+00 1.600000000000e+00 2.302158273381e+00 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT5TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT5TEV_DEFAULT.dat new file mode 100644 index 0000000000..3e83182de3 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT5TEV_DEFAULT.dat @@ -0,0 +1,3 @@ +2 +1 MULT UNCORR +2 MULT CMSLUMI5 From da73c1d490f9806fa5b9724a82922d0462870024 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sun, 24 Mar 2019 16:05:51 +0100 Subject: [PATCH 193/429] Added missing files for ATLAS and CMS jets --- .../data/commondata/DATA_ATLAS1JET11_SF.dat | 282 +++++++++--------- .../data/commondata/DATA_CMSJETS11_SF.dat | 268 ++++++++--------- .../SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat | 4 +- .../systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat | 4 +- 4 files changed, 281 insertions(+), 277 deletions(-) diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat index 308818a162..57e27ff47b 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat @@ -1,141 +1,141 @@ -ATLAS1JET11 405 140 - 1 JET 2.500000000000e-01 1.166400000000e+04 7.000000000000e+03 5.344908800000e+03 4.855532411012e+01 6.992744183040e+01 1.308300000000e+00 0.000000000000e+00 0.000000000000e+00 2.242189241600e+01 4.195000000000e-01 2.773473176320e+01 5.189000000000e-01 3.138637345536e+02 5.872200000000e+00 1.615177990272e+02 3.021900000000e+00 2.447968230400e+00 4.580000000000e-02 2.357104780800e+00 4.410000000000e-02 4.382825216000e+00 8.200000000000e-02 4.185063590400e+00 7.830000000000e-02 6.376476198400e+00 1.193000000000e-01 1.494970991360e+01 2.797000000000e-01 2.291896893440e+01 4.288000000000e-01 2.924734095360e+01 5.472000000000e-01 1.484815664640e+01 2.778000000000e-01 -2.886250752000e-01 -5.400000000000e-03 -9.353590400000e-01 -1.750000000000e-02 8.605303168000e-01 1.610000000000e-02 1.443125376000e+00 2.700000000000e-02 4.917316096000e+00 9.200000000000e-02 3.217635097600e+00 6.020000000000e-02 3.377982361600e+00 6.320000000000e-02 -2.832801664000e-01 -5.300000000000e-03 -4.329376128000e-01 -8.100000000000e-03 -6.948381440000e-02 -1.300000000000e-03 1.068981760000e-02 2.000000000000e-04 5.344908800000e-03 1.000000000000e-04 1.068981760000e-02 2.000000000000e-04 5.344908800000e-03 1.000000000000e-04 3.206945280000e-02 6.000000000000e-04 8.017363200000e-02 1.500000000000e-03 -2.137963520000e-02 -4.000000000000e-04 -5.344908800000e-03 -1.000000000000e-04 -0.000000000000e+00 -0.000000000000e+00 -1.603472640000e-02 -3.000000000000e-04 5.344908800000e-03 1.000000000000e-04 5.344908800000e-03 1.000000000000e-04 -0.000000000000e+00 -0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -2.832801664000e-01 -5.300000000000e-03 -5.451806976000e-01 -1.020000000000e-02 -1.496574464000e-01 -2.800000000000e-03 -2.832801664000e-01 -5.300000000000e-03 -1.068981760000e-01 -2.000000000000e-03 -3.206945280000e-01 -6.000000000000e-03 -2.672454400000e-01 -5.000000000000e-03 -4.650070656000e-01 -8.700000000000e-03 3.893766060800e+01 7.285000000000e-01 1.803372229120e+01 3.374000000000e-01 5.403702796800e+00 1.011000000000e-01 2.651074764800e+01 4.960000000000e-01 3.916214677760e+01 7.327000000000e-01 5.972401093120e+01 1.117400000000e+00 -7.000761546240e+01 -1.309800000000e+00 -4.761779249920e+01 -8.909000000000e-01 -1.433504540160e+02 -2.682000000000e+00 0.000000000000e+00 0.000000000000e+00 5.201130753280e+01 9.731000000000e-01 2.506762227200e+00 4.690000000000e-02 2.178050336000e+01 4.075000000000e-01 1.009599823232e+02 1.888900000000e+00 -1.389676288000e+00 -2.600000000000e-02 4.671450291200e+00 8.740000000000e-02 1.636397278208e+02 3.061600000000e+00 2.677799308800e+00 5.010000000000e-02 7.942534476800e+00 1.486000000000e-01 2.672454400000e+01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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4.000000000000e-01 2.147206165703e-01 1.600000000000e+00 6.710019267823e-02 5.000000000000e-01 1.878805394990e-01 1.400000000000e+00 1.138728030281e-01 8.485281374239e-01 1.138728030281e-01 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.82005 - 10 JET 2.500000000000e-01 1.197160000000e+05 7.000000000000e+03 7.574088050314e+00 6.053217223029e-02 1.664634736333e-01 2.200000000000e+00 7.566521528786e-02 1.000000000000e+00 1.902118973065e-02 2.513861839723e-01 1.740299951621e-01 2.300000000000e+00 2.308409189646e-01 3.050819562019e+00 1.740299951621e-01 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134978229318e-01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.566521528786e-03 1.000000000000e-01 3.026608611514e-02 4.000000000000e-01 1.134978229318e-01 1.500000000000e+00 3.783260764393e-02 5.000000000000e-01 1.022880654345e-01 1.351850583460e+00 7.490474156198e-02 9.899494936612e-01 7.490474156198e-02 9.899494936612e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.563694 - 11 JET 2.500000000000e-01 1.432622500000e+05 7.000000000000e+03 4.357839398350e+00 2.616011644833e-02 9.592042697720e-02 2.200000000000e+00 4.360019408054e-02 1.000000000000e+00 1.099239466774e-02 2.521180214802e-01 9.611840536528e-02 2.204540768505e+00 1.373752103242e-01 3.150793550838e+00 1.046404657933e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 6.104027171276e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.360019408054e-03 1.000000000000e-01 1.308005822416e-02 3.000000000000e-01 6.104027171276e-02 1.400000000000e+00 1.744007763222e-02 4.000000000000e-01 5.668025230471e-02 1.300000000000e+00 4.624498934310e-02 1.060660171780e+00 4.624498934310e-02 1.060660171780e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.56568 - 12 JET 2.500000000000e-01 1.701562500000e+05 7.000000000000e+03 2.557299270073e+00 1.532846715328e-02 5.620437956204e-02 2.200000000000e+00 2.554744525547e-02 1.000000000000e+00 4.123177141827e-03 1.613929338372e-01 5.875912408759e-02 2.300000000000e+00 8.049472575133e-02 3.150793550838e+00 6.386861313869e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.453632877451e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.554744525547e-03 1.000000000000e-01 7.664233576642e-03 3.000000000000e-01 3.321167883212e-02 1.300000000000e+00 1.021897810219e-02 4.000000000000e-01 3.065693430657e-02 1.200000000000e+00 3.071011202963e-02 1.202081528017e+00 3.071011202963e-02 1.202081528017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.565435 - 13 JET 2.500000000000e-01 2.016010000000e+05 7.000000000000e+03 1.488408787025e+00 1.038555392875e-02 3.264031234749e-02 2.200000000000e+00 1.483650561249e-02 1.000000000000e+00 2.401518902716e-03 1.618655339363e-01 3.339861856598e-02 2.251110836898e+00 4.823005458693e-02 3.250769139758e+00 3.933073408600e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 2.005673876875e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.483650561249e-03 1.000000000000e-01 4.450951683748e-03 3.000000000000e-01 1.780380673499e-02 1.200000000000e+00 5.934602244998e-03 4.000000000000e-01 1.709420429980e-02 1.152171862180e+00 1.942251024071e-02 1.309102746159e+00 1.942251024071e-02 1.309102746159e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.526004 - 14 JET 2.500000000000e-01 2.376562500000e+05 7.000000000000e+03 8.554523227384e-01 6.843618581907e-03 1.881995110024e-02 2.200000000000e+00 8.554523227384e-03 1.000000000000e+00 1.387390895140e-03 1.621821413377e-01 1.925717994166e-02 2.251110836898e+00 2.866403607338e-02 3.350746185553e+00 2.353271442960e-02 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 1.112088019560e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.554523227384e-04 1.000000000000e-01 2.566356968215e-03 3.000000000000e-01 9.409975550122e-03 1.100000000000e+00 3.054575768433e-03 3.570714214271e-01 9.409975550122e-03 1.100000000000e+00 1.209792276780e-02 1.414213562373e+00 1.209792276780e-02 1.414213562373e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.533456 - 15 JET 2.500000000000e-01 2.782562500000e+05 7.000000000000e+03 5.072870588235e-01 2.025098039216e-03 1.113803921569e-02 2.200000000000e+00 5.062745098039e-03 1.000000000000e+00 4.963475586313e-04 9.803921568627e-02 1.164431372549e-02 2.300000000000e+00 1.747013885890e-02 3.450724561596e+00 1.468196078431e-02 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 6.581568627451e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.062745098039e-04 1.000000000000e-01 1.315339760336e-03 2.598076211353e-01 5.327922871997e-03 1.052378258992e+00 1.518823529412e-03 3.000000000000e-01 5.327922871997e-03 1.052378258992e+00 7.875783058533e-03 1.555634918610e+00 7.875783058533e-03 1.555634918610e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.520825 - 16 JET 2.500000000000e-01 3.249000000000e+05 7.000000000000e+03 3.028135493373e-01 1.511045655376e-03 6.648600883652e-03 2.200000000000e+00 3.022091310751e-03 1.000000000000e+00 2.569668971690e-04 8.502949472600e-02 6.803062499727e-03 2.251110836898e+00 1.073055217543e-02 3.550704155516e+00 9.219855289048e-03 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 3.783653493435e-03 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.022091310751e-04 1.000000000000e-01 6.044182621502e-04 2.000000000000e-01 3.022091310751e-03 1.000000000000e+00 9.066273932253e-04 3.000000000000e-01 3.022091310751e-03 1.000000000000e+00 5.128659022073e-03 1.697056274848e+00 5.128659022073e-03 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.501532 - 17 JET 2.500000000000e-01 3.782250000000e+05 7.000000000000e+03 1.783767522498e-01 8.903638151426e-04 3.917600786627e-03 2.200000000000e+00 1.780727630285e-03 1.000000000000e+00 1.750961288383e-04 9.832841691249e-02 4.095673549656e-03 2.300000000000e+00 6.410619469027e-03 3.600000000000e+00 5.610705133301e-03 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 2.229468148502e-03 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.780727630285e-04 1.000000000000e-01 3.561455260570e-04 2.000000000000e-01 1.602654867257e-03 9.000000000000e-01 5.342182890855e-04 3.000000000000e-01 1.780727630285e-03 1.000000000000e+00 3.337973824223e-03 1.874499933316e+00 3.337973824223e-03 1.874499933316e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.513811 - 18 JET 2.500000000000e-01 4.382440000000e+05 7.000000000000e+03 1.059941341884e-01 7.403249630724e-04 2.326735598227e-03 2.200000000000e+00 1.057607090103e-03 1.000000000000e+00 9.019346206324e-05 8.528068968829e-02 2.432496307238e-03 2.300000000000e+00 3.913146233383e-03 3.700000000000e+00 3.493306797187e-03 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 1.269128508124e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.057607090103e-04 1.000000000000e-01 2.115214180207e-04 2.000000000000e-01 9.020712725414e-04 8.529361054616e-01 2.747743821756e-04 2.598076211353e-01 1.007506067977e-03 9.526279441629e-01 2.132003164024e-03 2.015874500062e+00 2.132003164024e-03 2.015874500062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.559343 - 19 JET 2.500000000000e-01 5.062322500000e+05 7.000000000000e+03 6.297490389354e-02 5.040512567767e-04 1.386140956136e-03 2.200000000000e+00 6.300640709709e-04 1.000000000000e+00 5.378526283614e-05 8.536475148195e-02 1.418344058103e-03 2.251110836898e+00 2.394243469690e-03 3.800000000000e+00 2.174177565078e-03 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 7.560768851651e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.260128141942e-04 2.000000000000e-01 5.040512567767e-04 8.000000000000e-01 1.636954474418e-04 2.598076211353e-01 5.670576638738e-04 9.000000000000e-01 1.381119989213e-03 2.192031021678e+00 1.381119989213e-03 2.192031021678e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.585769 - 20 JET 2.500000000000e-01 5.829322500000e+05 7.000000000000e+03 3.714251043715e-02 4.080750246792e-04 8.161500493583e-04 2.200000000000e+00 3.709772951629e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.721912110409e-04 2.351063589102e+00 1.446811451135e-03 3.900000000000e+00 1.336548357813e-03 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 4.644629809281e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.419545903258e-05 2.000000000000e-01 2.794668265219e-04 7.533259586660e-01 9.638272855149e-05 2.598076211353e-01 3.164199293509e-04 8.529361054616e-01 8.789696194173e-04 2.369335349840e+00 8.789696194173e-04 2.369335349840e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.648053 - 21 JET 2.500000000000e-01 6.691240000000e+05 7.000000000000e+03 2.192471582530e-02 2.845355731225e-04 4.815217391304e-04 2.200000000000e+00 2.188735177866e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.364634124109e-04 2.451020195755e+00 8.865728438507e-04 4.050617236916e+00 8.220878838910e-04 3.755995207665e+00 0.000000000000e+00 0.000000000000e+00 2.845355731225e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.377470355731e-05 2.000000000000e-01 1.532114624506e-04 7.000000000000e-01 4.377470355731e-05 2.000000000000e-01 1.866851258495e-04 8.529361054616e-01 5.650053573842e-04 2.581424025611e+00 5.650053573842e-04 2.581424025611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.691973 - 22 JET 2.500000000000e-01 7.665002500000e+05 7.000000000000e+03 1.296320576436e-02 2.201088031652e-04 2.848466864491e-04 2.200000000000e+00 1.294757665678e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.107418397626e-04 2.400000000000e+00 5.374024230457e-04 4.150602365922e+00 5.052873696958e-04 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 1.683184965381e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.589515331355e-05 2.000000000000e-01 9.063303659743e-05 7.000000000000e-01 2.589515331355e-05 2.000000000000e-01 1.035806132542e-04 8.000000000000e-01 3.616930509476e-04 2.793519285776e+00 3.616930509476e-04 2.793519285776e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.631477 - 23 JET 2.500000000000e-01 8.760960000000e+05 7.000000000000e+03 7.458008529275e-03 1.637148514851e-04 1.637148514851e-04 2.200000000000e+00 7.441584158416e-05 1.000000000000e+00 0.000000000000e+00 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6.720491053487e+00 1.374219933547e-07 6.720491053487e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 - 34 JET 7.500000000000e-01 1.525225000000e+04 7.000000000000e+03 2.513356977529e+03 3.024215246637e+01 5.544394618834e+01 2.200000000000e+00 2.520179372197e+01 1.000000000000e+00 4.294476060247e+01 1.704035874439e+00 8.192521329793e+01 3.250769139758e+00 6.562152206507e+01 2.603843313258e+00 3.406905954728e+01 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 7.184721554317e+01 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.182539358416e+00 8.660254037844e-02 2.520179372197e+00 1.000000000000e-01 1.898516541571e+01 7.533259586660e-01 8.316591928251e+01 3.300000000000e+00 3.910340719660e+01 1.551612064918e+00 6.048430493274e+01 2.400000000000e+00 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1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.419545903258e-05 2.000000000000e-01 2.794668265219e-04 7.533259586660e-01 9.638272855149e-05 2.598076211353e-01 3.164199293509e-04 8.529361054616e-01 8.789696194173e-04 2.369335349840e+00 8.789696194173e-04 2.369335349840e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.648053 0 0.648053 + 21 JET 2.500000000000e-01 6.691240000000e+05 7.000000000000e+03 2.192471582530e-02 2.845355731225e-04 4.815217391304e-04 2.200000000000e+00 2.188735177866e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.364634124109e-04 2.451020195755e+00 8.865728438507e-04 4.050617236916e+00 8.220878838910e-04 3.755995207665e+00 0.000000000000e+00 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3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 1.683184965381e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.589515331355e-05 2.000000000000e-01 9.063303659743e-05 7.000000000000e-01 2.589515331355e-05 2.000000000000e-01 1.035806132542e-04 8.000000000000e-01 3.616930509476e-04 2.793519285776e+00 3.616930509476e-04 2.793519285776e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.631477 0 0.631477 + 23 JET 2.500000000000e-01 8.760960000000e+05 7.000000000000e+03 7.458008529275e-03 1.637148514851e-04 1.637148514851e-04 2.200000000000e+00 7.441584158416e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.863370295763e-04 2.503996805110e+00 3.237516757913e-04 4.350574674684e+00 3.017972965925e-04 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 9.674059405941e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.234047124966e-05 1.658312395178e-01 4.865566998958e-05 6.538348415311e-01 1.488316831683e-05 2.000000000000e-01 5.605938520132e-05 7.533259586660e-01 2.236657221682e-04 3.005619736427e+00 2.236657221682e-04 3.005619736427e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.605142 0 0.605142 + 24 JET 2.500000000000e-01 9.990002500000e+05 7.000000000000e+03 4.174406553461e-03 1.209722497522e-04 9.177205153617e-05 2.200000000000e+00 4.171456888008e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.044531472023e-04 2.503996805110e+00 1.878082361250e-04 4.502221673796e+00 1.775076221981e-04 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 5.639186427930e-05 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.917578663333e-06 1.658312395178e-01 2.502874132805e-05 6.000000000000e-01 8.342913776016e-06 2.000000000000e-01 3.142466759192e-05 7.533259586660e-01 1.342259840833e-04 3.217724351153e+00 1.342259840833e-04 3.217724351153e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.684683 0 0.684683 + 25 JET 2.500000000000e-01 1.137422250000e+06 7.000000000000e+03 2.307679516669e-03 8.752428146680e-05 5.067195242815e-05 2.200000000000e+00 2.303270564916e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.105839507150e-05 2.650943228362e+00 1.072134719188e-04 4.654836194755e+00 1.028185243014e-04 4.464022849404e+00 0.000000000000e+00 0.000000000000e+00 3.113677657047e-05 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.819542127248e-06 1.658312395178e-01 1.381962338949e-05 6.000000000000e-01 4.606541129832e-06 2.000000000000e-01 1.612289395441e-05 7.000000000000e-01 7.983748453697e-05 3.466266002487e+00 7.983748453697e-05 3.466266002487e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.665805 0 0.665805 + 26 JET 2.500000000000e-01 1.291632250000e+06 7.000000000000e+03 1.458371765736e-03 6.849503968254e-05 3.206150793651e-05 2.200000000000e+00 1.457341269841e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.934821428571e-05 2.700000000000e+00 7.007372081973e-05 4.808326112069e+00 6.796196597074e-05 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 2.115656006554e-05 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.457341269841e-06 1.000000000000e-01 8.081348277736e-06 5.545268253205e-01 2.416727091782e-06 1.658312395178e-01 1.020138888889e-05 7.000000000000e-01 5.410594135719e-05 3.712647303475e+00 5.410594135719e-05 3.712647303475e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.674 0 0.674 + 27 JET 2.500000000000e-01 1.464100000000e+06 7.000000000000e+03 7.976516348082e-04 5.020615384615e-05 1.753230769231e-05 2.200000000000e+00 7.969230769231e-06 1.000000000000e+00 6.850179945186e-07 8.595785645504e-02 2.271929717014e-05 2.850877058030e+00 3.990985677067e-05 5.007993610220e+00 3.875332943131e-05 4.862869523234e+00 0.000000000000e+00 0.000000000000e+00 1.156911650926e-05 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.969230769231e-07 1.000000000000e-01 3.984615384615e-06 5.000000000000e-01 1.321547416465e-06 1.658312395178e-01 5.210560737125e-06 6.538348415311e-01 3.156660492903e-05 3.961060464068e+00 3.156660492903e-05 3.961060464068e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.670024 0 0.670024 + 28 JET 2.500000000000e-01 1.657656250000e+06 7.000000000000e+03 3.358888238386e-04 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2.200000000000e+00 2.726554787759e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.682840849631e-04 2.451020195755e+00 1.145153010859e-03 4.200000000000e+00 1.051315826837e-03 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 3.817176702863e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.726554787759e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.453109575518e-05 2.000000000000e-01 2.053984499344e-04 7.533259586660e-01 8.179664363277e-05 3.000000000000e-01 2.453899308983e-04 9.000000000000e-01 7.038394036265e-04 2.581424025611e+00 0.000000000000e+00 0.000000000000e+00 7.038394036265e-04 2.581424025611e+00 0.000000000000e+00 0.000000000000e+00 0 0.777965 0 0.777965 + 54 JET 7.500000000000e-01 6.691240000000e+05 7.000000000000e+03 1.533469382916e-02 2.450592885375e-04 3.369565217391e-04 2.200000000000e+00 1.531620553360e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.682265550250e-04 2.404163056034e+00 6.739130434783e-04 4.400000000000e+00 6.211566416094e-04 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 2.144268774704e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.531620553360e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.063241106719e-05 2.000000000000e-01 1.072134387352e-04 7.000000000000e-01 4.594861660079e-05 3.000000000000e-01 1.378458498024e-04 9.000000000000e-01 4.278611554301e-04 2.793519285776e+00 0.000000000000e+00 0.000000000000e+00 4.278611554301e-04 2.793519285776e+00 0.000000000000e+00 0.000000000000e+00 0 0.65255 0 0.65255 + 55 JET 7.500000000000e-01 7.665002500000e+05 7.000000000000e+03 8.266354244921e-03 1.730890207715e-04 1.813313550940e-04 2.200000000000e+00 8.242334322453e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.060583580613e-04 2.500000000000e+00 3.750714964887e-04 4.550549417378e+00 3.469621377719e-04 4.209513035970e+00 0.000000000000e+00 0.000000000000e+00 1.153926805143e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.242334322453e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.648466864491e-05 2.000000000000e-01 5.769634025717e-05 7.000000000000e-01 2.472700296736e-05 3.000000000000e-01 6.593867457962e-05 8.000000000000e-01 2.507485543117e-04 3.042203149035e+00 0.000000000000e+00 0.000000000000e+00 2.507485543117e-04 3.042203149035e+00 0.000000000000e+00 0.000000000000e+00 0 0.830437 0 0.830437 + 56 JET 7.500000000000e-01 8.760960000000e+05 7.000000000000e+03 4.345299602524e-03 1.213148514851e-04 9.531881188119e-05 2.200000000000e+00 4.332673267327e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.126495049505e-04 2.600000000000e+00 2.037278072457e-04 4.702127178203e+00 1.910310970887e-04 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 6.499009900990e-05 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.332673267327e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.184925783463e-06 1.658312395178e-01 2.599603960396e-05 6.000000000000e-01 1.299801980198e-05 3.000000000000e-01 3.466138613861e-05 8.000000000000e-01 1.440573140197e-04 3.324906013709e+00 0.000000000000e+00 0.000000000000e+00 1.440573140197e-04 3.324906013709e+00 0.000000000000e+00 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3.574038332195e+00 0.000000000000e+00 0.000000000000e+00 0 0.806299 0 0.806299 + 58 JET 7.500000000000e-01 1.137422250000e+06 7.000000000000e+03 1.417687657719e-03 6.645711452652e-05 3.110758552305e-05 2.200000000000e+00 1.413981160139e-05 1.000000000000e+00 1.214222712100e-06 8.587262308224e-02 4.031086449926e-05 2.850877058030e+00 7.288177944192e-05 5.154367080447e+00 6.813570135172e-05 4.818713521263e+00 0.000000000000e+00 0.000000000000e+00 2.193950227639e-05 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.344822484406e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 1.413981160139e-06 1.000000000000e-01 8.483886960833e-06 6.000000000000e-01 3.673630815458e-06 2.598076211353e-01 1.131184928111e-05 8.000000000000e-01 5.453230583779e-05 3.856650100800e+00 0.000000000000e+00 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2.275882294758e-05 1.994797230465e-06 2.200000000000e+00 9.067260138477e-07 1.000000000000e+00 1.793721095643e-07 1.978239366963e-01 5.169928781594e-06 5.701754116059e+00 8.803651236334e-06 9.709273917240e+00 7.396767164887e-06 8.157665107125e+00 7.435153313551e-06 8.200000000000e+00 2.299225472356e-06 2.535744466621e+00 1.989571559317e-05 2.194236769357e+01 5.079284573070e-06 5.601785429664e+00 2.355743286793e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 2.355743286793e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 2.360972468115e-06 2.603843313258e+00 1.570495524529e-07 1.732050807569e-01 7.733793549720e-07 8.529361054616e-01 1.541434223541e-06 1.700000000000e+00 5.440356083086e-07 6.000000000000e-01 1.727545076981e-06 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 0 0 + 133 JET 2.250000000000e+00 6.328202500000e+05 7.000000000000e+03 8.112404561230e-06 3.416162617749e-06 1.727714427367e-07 2.200000000000e+00 7.853247397124e-08 1.000000000000e+00 1.291337382355e-08 1.644335543062e-01 6.798730942288e-07 8.657222418305e+00 9.476351289754e-07 1.206679327742e+01 7.708993415101e-07 9.816312953446e+00 8.560039662866e-07 1.090000000000e+01 2.064000156262e-07 2.628212320190e+00 1.939302957440e-06 2.469428071437e+01 5.184333031523e-07 6.601514977640e+00 1.923644894680e-08 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 1.923644894680e-08 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 2.358590515578e-07 3.003331483536e+00 2.720444699246e-08 3.464101615138e-01 5.916055124080e-08 7.533259586660e-01 1.177987109569e-07 1.500000000000e+00 3.577324439605e-08 4.555216789572e-01 1.496244584585e-07 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 0 0 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat index 49b5f4e61c..fe484c6cb5 100644 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat @@ -1,4 +1,4 @@ -404 +406 1 MULT CORR 2 MULT CORR 3 MULT CORR @@ -403,3 +403,5 @@ 402 MULT CORR 403 MULT ATLASLUMI11 404 MULT ATLAS1JET11_NP_err +405 MULT SKIP +406 MULT SKIP diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat index 30ade53597..3d4de24b73 100644 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat @@ -1,4 +1,4 @@ -24 +26 1 MULT CMSLUMI11 2 MULT UNCORR 3 MULT CORR @@ -23,3 +23,5 @@ 22 MULT CORR 23 MULT CORR 24 MULT CORR +25 MULT SKIP +26 MULT SKIP From 688f33a3f5ec05fe31f9f3a8abc24a0e51cce3c6 Mon Sep 17 00:00:00 2001 From: Zahari Date: Mon, 25 Mar 2019 12:15:14 +0000 Subject: [PATCH 194/429] Parse and document experiment metadata Improve a bit the documentation of the plotting format and add some undocumented keys. --- doc/validphys2/plotting_format.md | 23 ++++++++++++++++++-- validphys2/src/validphys/plotoptions/core.py | 3 +++ 2 files changed, 24 insertions(+), 2 deletions(-) diff --git a/doc/validphys2/plotting_format.md b/doc/validphys2/plotting_format.md index a60f4a69af..1c965556f4 100644 --- a/doc/validphys2/plotting_format.md +++ b/doc/validphys2/plotting_format.md @@ -1,8 +1,10 @@ %NNPDF plottng format %Zahari Kassabov -A "plotting file" determines how the predictions for given dataset -should be represented on a plot. The plotting files should be +A *plotting file* defines a set of options that are used for analysis +and representation purposes, particularly to determine how datasets +should be represented in plots and how should they be grouped +together according to various criteria. The plotting files should be considered part of the implementation of the dataset, and should be read by various tools that want to sensibly represent the data. @@ -276,11 +278,28 @@ unique value of the key `Boson` (which is defined explicitly as an `extra_label`), but only one plots with the three bosons split across different lines will be produced in absolute value plots. +## Metadata keys + +Plotting files are also used to define metada related to the various +datasets. These keys include: + + - `experiment` (string): The experiment which produced the experimental data. + - `process_description` (string): A description of the physical process + associated to the dataset. This would typically be defined in the + `PLOTTINTYPE` files. + - `data_reference` (string): a LaTex key corresponding to the + reference of the experimental paper. + - `theory_reference` (string): a LaTeX key corresponding to the + codes used to compute the theory predictions. + # Example A complete example (all keys are optional) looks like this: ```yaml + +dataset_label: "Some hypothetical dataset" +experiment: ATLAS x: k3 x_scale: log kinematics_override: dummy_transform #defined in transforms.py diff --git a/validphys2/src/validphys/plotoptions/core.py b/validphys2/src/validphys/plotoptions/core.py index 8f0a629303..e4916e42bd 100644 --- a/validphys2/src/validphys/plotoptions/core.py +++ b/validphys2/src/validphys/plotoptions/core.py @@ -254,6 +254,9 @@ def parse_theory_reference(self, ref:str): def parse_data_reference(self, ref:str): return ref + def parse_experiment(self, exp:str): + return exp + def kitable(commondata, info): if isinstance(commondata, (DataSetSpec, CommonDataSpec)): From ff4cc6af035392a3b40b283aaaea786088976716 Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 26 Mar 2019 15:38:40 +0000 Subject: [PATCH 195/429] Add the required 'experiment' key in PlotInfo --- validphys2/src/validphys/plotoptions/core.py | 25 ++++++++++++++++---- 1 file changed, 21 insertions(+), 4 deletions(-) diff --git a/validphys2/src/validphys/plotoptions/core.py b/validphys2/src/validphys/plotoptions/core.py index e4916e42bd..0959ad4002 100644 --- a/validphys2/src/validphys/plotoptions/core.py +++ b/validphys2/src/validphys/plotoptions/core.py @@ -64,11 +64,28 @@ def get_info(data, *, normalize=False, cuts=None, use_plotfiles=True): class PlotInfo: - def __init__(self, kinlabels,dataset_label,* ,x=None ,extra_labels=None, func_labels=None, - figure_by=None, line_by=None, kinematics_override=None, - result_transform=None, y_label=None, x_label=None, - x_scale=None, y_scale=None, process_description='-', **kwargs): + def __init__( + self, + kinlabels, + dataset_label, + *, + experiment, + x=None, + extra_labels=None, + func_labels=None, + figure_by=None, + line_by=None, + kinematics_override=None, + result_transform=None, + y_label=None, + x_label=None, + x_scale=None, + y_scale=None, + process_description='-', + **kwargs, + ): self.kinlabels = kinlabels + self.experiment = experiment if x is None: x = 'idat' self.x = x From 42fd5300ad478071efcdaf3b2ee7127f99822e7a Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Wed, 27 Mar 2019 00:24:09 +0100 Subject: [PATCH 196/429] Added experiment name to metadata --- nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml | 4 +++- nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml | 4 +++- nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml | 4 +++- .../data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml | 3 +++ nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml | 4 +++- nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml | 4 +++- nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml | 4 +++- nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml | 2 ++ 13 files changed, 33 insertions(+), 6 deletions(-) diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml index 8c55f53236..975f732275 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml @@ -15,3 +15,5 @@ normalize: y_scale: linear figure_by: - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml index fae8c9bf90..b497b20341 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml @@ -3,3 +3,5 @@ x: k2 y_label: '$d\sigma_{\gamma}}/dp_T ^\gamma$ (fb)' figure_by: - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml index 41f1c5c483..9031ec150d 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml @@ -3,3 +3,5 @@ x: k2 y_label: '$d\sigma_{\gamma}}/dp_T ^\gamma$ (fb)' figure_by: - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml index 16b1894239..aad116209d 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml @@ -8,4 +8,6 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml index 1c2581b48b..ffe9f71fdf 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml @@ -8,4 +8,6 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml index 1c2581b48b..ffe9f71fdf 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml @@ -8,4 +8,6 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml index b02c45a2bf..a03729344c 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml @@ -3,3 +3,6 @@ x: k1 y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_t$ (fb)' figure_by: - k2 + +experiment: "ATLAS" + diff --git a/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml index aad6530f21..1f52e31546 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml @@ -8,4 +8,6 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 + +experiment: "CDF" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml index 5f28e20727..718d992aef 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml @@ -8,4 +8,6 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 + +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml index 8804df0dc8..55cab95a02 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml @@ -15,3 +15,5 @@ normalize: line_by: - k1 + +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml index d67250dfc3..fd3c1eb16f 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml @@ -1 +1,3 @@ dataset_label: "CMS $\\sigma_{tt}^{\\rm tot}$" + +experiment: "CMS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml index e9c0ad4412..02f7ff8b8f 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml @@ -1,4 +1,6 @@ dataset_label: "D0 $Z$ rapidity" x: k1 y_label: '$1/\sigma\;d\sigma_{Z/\gamma^{*}}/dy$' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' + +experiment: "D0" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml index ae0a3d4806..aab7e3c317 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml @@ -10,3 +10,5 @@ normalize: figure_by: - two_Q2_bins y_scale: linear + +experiment: "F2BOTTOM" \ No newline at end of file From 14c9598e8a4bb06d2df84d0507301caaa3902999 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Wed, 27 Mar 2019 00:38:18 +0100 Subject: [PATCH 197/429] Added PLOTTING file for ATLASDY2D8TEV --- nnpdfcpp/data/commondata/PLOTTING_ATLASDY2D8TEV.yaml | 3 +++ 1 file changed, 3 insertions(+) create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASDY2D8TEV.yaml diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASDY2D8TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASDY2D8TEV.yaml new file mode 100644 index 0000000000..5d8e0ed6bb --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASDY2D8TEV.yaml @@ -0,0 +1,3 @@ +dataset_label: "ATLAS DY 2D 8 TeV" + +experiment: "ATLAS" From 9427d17ff211d52fcb5cf05e041993708d1d248a Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Wed, 27 Mar 2019 11:06:02 +0000 Subject: [PATCH 198/429] Fix line locations in shift_diag_cov_comparison --- validphys2/src/validphys/theorycovariance/tests.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 3842216c98..7fbc51db4e 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -604,7 +604,9 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): ax.plot(fnorm.values*100, '.-', label="NNLO-NLO Shift", color = "black") ticklocs, ticklabels, startlocs = matrix_plot_labels(matrix) plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=20) - ax.vlines(startlocs, -70, 70, linestyles='dashed') + # Shift startlocs elements 0.5 to left so lines are between indexes + startlocs_lines = [x-0.5 for x in startlocs] + ax.vlines(startlocs_lines, -70, 70, linestyles='dashed') ax.margins(x=0, y=0) ax.set_ylabel("% of central theory", fontsize=20) ax.legend(fontsize=20) From e6af52ff1e353892638099565d1f0ca4967a64ad Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Tue, 12 Mar 2019 16:49:37 -0400 Subject: [PATCH 199/429] Added DATA ans SYSTYPE files for data sets affected by the symmetrising fix --- .../data/commondata/DATA_ATLAS1JET11_SF.dat | 141 ++++++ .../data/commondata/DATA_ATLASPHT12_SF.dat | 50 +++ .../data/commondata/DATA_ATLASPHT15_SF.dat | 54 +++ .../DATA_ATLASR04JETS2P76TEV_SF.dat | 60 +++ .../commondata/DATA_ATLASR04JETS36PB_SF.dat | 91 ++++ .../commondata/DATA_ATLASR06JETS36PB_SF.dat | 91 ++++ .../DATA_ATLASTOPDIFF8TEVTPTNORM_SF.dat | 9 + .../DATA_ATLASTOPDIFF8TEVTPT_SF.dat | 9 + .../DATA_ATLASTOPDIFF8TEVTRAPNORM_SF.dat | 11 + .../DATA_ATLASTOPDIFF8TEVTRAP_SF.dat | 11 + .../DATA_ATLASTOPDIFF8TEVTTMNORM_SF.dat | 8 + .../DATA_ATLASTOPDIFF8TEVTTM_SF.dat | 8 + .../DATA_ATLASTOPDIFF8TEVTTPTNORM_SF.dat | 7 + .../DATA_ATLASTOPDIFF8TEVTTPT_SF.dat | 7 + .../DATA_ATLASTOPDIFF8TEVTTRAPNORM_SF.dat | 11 + .../DATA_ATLASTOPDIFF8TEVTTRAP_SF.dat | 11 + nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat | 77 ++++ .../data/commondata/DATA_CMS1JET276TEV_SF.dat | 82 ++++ .../data/commondata/DATA_CMSJETS11_SF.dat | 134 ++++++ .../commondata/DATA_CMSTOPDIFF8TEVTPT_SF.dat | 9 + .../commondata/DATA_CMSTOPDIFF8TEVTRAP_SF.dat | 11 + .../commondata/DATA_CMSTOPDIFF8TEVTTM_SF.dat | 8 + .../commondata/DATA_CMSTOPDIFF8TEVTTPT_SF.dat | 7 + .../DATA_CMSTOPDIFF8TEVTTRAP_SF.dat | 11 + .../data/commondata/DATA_CMSTTBARTOT_SF.dat | 5 + nnpdfcpp/data/commondata/DATA_D0ZRAP_SF.dat | 29 ++ .../data/commondata/DATA_ZEUSHERAF2B_SF.dat | 18 + .../SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat | 405 ++++++++++++++++++ .../SYSTYPE_ATLASPHT12_SF_DEFAULT.dat | 31 ++ .../SYSTYPE_ATLASPHT15_SF_DEFAULT.dat | 3 + ...SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat | 91 ++++ .../SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat | 92 ++++ .../SYSTYPE_ATLASR06JETS36PB_SF_DEFAULT.dat | 92 ++++ ...YPE_ATLASTOPDIFF8TEVTPTNORM_SF_DEFAULT.dat | 65 +++ ...SYSTYPE_ATLASTOPDIFF8TEVTPT_SF_DEFAULT.dat | 66 +++ ...PE_ATLASTOPDIFF8TEVTRAPNORM_SF_DEFAULT.dat | 57 +++ ...YSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat | 58 +++ ...YPE_ATLASTOPDIFF8TEVTTMNORM_SF_DEFAULT.dat | 64 +++ ...SYSTYPE_ATLASTOPDIFF8TEVTTM_SF_DEFAULT.dat | 65 +++ ...PE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat | 57 +++ ...YSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat | 58 +++ ...E_ATLASTOPDIFF8TEVTTRAPNORM_SF_DEFAULT.dat | 57 +++ ...STYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat | 58 +++ .../systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat | 26 ++ .../SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat | 107 +++++ .../systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat | 25 ++ .../SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat | 22 + .../SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat | 24 ++ .../SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat | 21 + .../SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat | 20 + ...SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat | 24 ++ .../SYSTYPE_CMSTTBARTOT_SF_DEFAULT.dat | 3 + .../systypes/SYSTYPE_D0ZRAP_SF_DEFAULT.dat | 2 + .../SYSTYPE_ZEUSHERAF2B_SF_DEFAULT.dat | 3 + 54 files changed, 2566 insertions(+) create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASPHT12_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASPHT15_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASR04JETS2P76TEV_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASR06JETS36PB_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTPTNORM_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTPT_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTRAPNORM_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTRAP_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTMNORM_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTM_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM_SF.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT_SF.dat create mode 100644 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.486363636364e+00 1.000000000000e-01 4.459090909091e+00 3.000000000000e-01 6.837272727273e+01 4.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.486363636364e+00 1.000000000000e-01 2.972727272727e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 JET 1.500000000000e-01 1.406250000000e+03 2.760000000000e+03 2.137362637363e+02 6.198351648352e+00 5.770879120879e+00 2.700000000000e+00 1.830669568077e+01 8.565086411055e+00 2.137362637363e+00 1.000000000000e+00 1.068681318681e+00 5.000000000000e-01 8.814515649423e+00 4.124015033920e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.896359868568e+01 8.872429205128e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.307945439936e+01 6.119436248544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.320490822366e+01 1.085679510721e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.331818613900e+00 1.558845726812e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.315174205877e+00 2.954657340539e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.551454092160e+00 4.000937390162e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.011810405990e+01 4.733920151418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.720727680545e+00 4.080134801695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.137362637363e-01 1.000000000000e-01 7.480769230769e+00 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.137362637363e-01 1.000000000000e-01 2.137362637363e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 3 JET 1.500000000000e-01 2.756250000000e+03 2.760000000000e+03 3.566666666667e+01 9.273333333333e-01 9.630000000000e-01 2.700000000000e+00 2.301075268817e+00 6.451612903226e+00 3.566666666667e-01 1.000000000000e+00 1.783333333333e-01 5.000000000000e-01 4.874081964842e-01 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.591852763951e+00 7.266876908274e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.370268586811e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.822406124697e+00 5.109549882328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.459721244317e-01 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.045343696802e+00 2.930870177951e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.771323889789e-01 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.449993668569e+00 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.266471820493e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.088823940164e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.683149263864e+00 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.133333333333e-02 2.000000000000e-01 3.566666666667e-02 1.000000000000e-01 4.993333333333e-01 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.566666666667e-02 1.000000000000e-01 3.566666666667e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 JET 1.500000000000e-01 4.900000000000e+03 2.760000000000e+03 7.700000000000e+00 8.470000000000e-02 2.079000000000e-01 2.700000000000e+00 4.494585847334e-01 5.837124477058e+00 7.700000000000e-02 1.000000000000e+00 3.850000000000e-02 5.000000000000e-01 5.800609881728e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.160149125752e-01 6.701492371107e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.887285550732e-01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.964999957841e-01 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.335235170054e-02 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.387000000000e-01 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.194741289987e-01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.503923051381e-01 4.550549417378e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.266833329082e-02 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.471837697819e-01 4.508880127038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.540000000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.080000000000e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 7.700000000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 JET 1.500000000000e-01 9.025000000000e+03 2.760000000000e+03 1.420618556701e+00 2.415051546392e-02 3.835670103093e-02 2.700000000000e+00 7.322776065469e-02 5.154639175258e+00 1.420618556701e-02 1.000000000000e+00 7.103092783505e-03 5.000000000000e-01 6.471225501062e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.117400256722e-01 7.865589615534e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.187034385229e-02 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.477677467784e-02 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.197969828088e-02 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.976222203269e-02 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.222484974576e-02 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.398136259113e-02 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.575542196478e-02 1.109053650641e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551546391753e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841237113402e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.846804123711e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 1.420618556701e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 JET 1.500000000000e-01 1.822500000000e+04 2.760000000000e+03 2.027551020408e-01 6.488163265306e-03 5.474387755102e-03 2.700000000000e+00 8.275718450646e-03 4.081632653061e+00 2.027551020408e-03 1.000000000000e+00 1.013775510204e-03 5.000000000000e-01 1.755910691143e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.145656037665e-02 5.650442460551e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.912646120462e-03 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.507416643181e-03 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.419285714286e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.494496271465e-03 3.203123475609e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.027551020408e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.176329117656e-02 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660838679533e-03 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.362312988998e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.362312988998e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.054813632386e-03 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.082653061224e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.635816326531e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.027551020408e-04 1.000000000000e-01 2.027551020408e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 JET 1.500000000000e-01 3.422500000000e+04 2.760000000000e+03 2.577777777778e-02 2.216888888889e-03 6.960000000000e-04 2.700000000000e+00 7.811447811448e-04 3.030303030303e+00 2.577777777778e-04 1.000000000000e+00 1.288888888889e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.148413742280e-03 4.455053310568e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.227831572477e-03 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.991111111111e-04 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.970043022509e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.741921157560e-04 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.941906915672e-04 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830585253511e-03 7.101408311032e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.348927527365e-04 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.733333333333e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.733333333333e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.469785505473e-03 5.701754116059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.546666666667e-04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.866666666667e-04 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.155555555556e-05 2.000000000000e-01 2.577777777778e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 JET 1.500000000000e-01 5.522500000000e+04 2.760000000000e+03 4.273737373737e-03 8.120101010101e-04 1.153909090909e-04 2.700000000000e+00 1.295071931436e-04 3.030303030303e+00 4.273737373737e-05 1.000000000000e+00 2.136868686869e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.500318995315e-04 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587200029359e-04 6.053717865907e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.004782832878e-04 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.485143253203e-05 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.261114654378e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.794318398503e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.931406902912e-04 6.859118019104e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.647884634825e-04 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.526029478847e-05 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.014348498633e-04 7.053190767305e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.564242424242e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 4.273737373737e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 JET 1.500000000000e-01 8.122500000000e+04 2.760000000000e+03 1.208080808081e-03 4.711515151515e-04 3.261818181818e-05 2.700000000000e+00 3.660850933578e-05 3.030303030303e+00 1.208080808081e-05 1.000000000000e+00 6.040404040404e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.951190311762e-05 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.835342491120e-05 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.301703073169e-05 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.295353535354e-05 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.332091859414e-05 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.248484848485e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.699859546391e-05 7.201388754956e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.677979797980e-05 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.125452789692e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.604622316354e-05 7.950314459190e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.248484848485e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.208080808081e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.208080808081e-06 1.000000000000e-01 1.208080808081e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 JET 1.500000000000e-01 1.260250000000e+05 2.760000000000e+03 4.315151515152e-04 1.984969696970e-04 1.165090909091e-05 2.700000000000e+00 1.307621671258e-05 3.030303030303e+00 4.315151515152e-06 1.000000000000e+00 2.157575757576e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.620768841126e-05 3.755995207665e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.035636363636e-05 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.541171638804e-06 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.037432785392e-05 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.493333333333e-06 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551555825602e-05 8.230431337421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.376469553180e-05 5.507267925206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.067702701430e-05 9.426558226628e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.589090909091e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.315151515152e-07 1.000000000000e-01 4.315151515152e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 JET 1.500000000000e-01 2.025000000000e+05 2.760000000000e+03 7.110101010101e-05 8.176616161616e-05 1.919727272727e-06 2.700000000000e+00 2.154576063667e-06 3.030303030303e+00 7.110101010101e-07 1.000000000000e+00 3.555050505051e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.821111111111e-07 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.977070707071e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.354935867537e-06 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.496647959744e-06 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635323232323e-06 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.977070707071e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.805206156588e-06 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.302986747707e-06 7.458384543586e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.064461864994e-07 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.192058321098e-06 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.555050505051e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.110101010101e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.133030303030e-07 3.000000000000e-01 7.110101010101e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 JET 5.500000000000e-01 6.250000000000e+02 2.760000000000e+03 1.481818181818e+03 2.074545454545e+01 4.000909090909e+01 2.700000000000e+00 1.706880678736e+02 1.151882666631e+01 1.481818181818e+01 1.000000000000e+00 7.409090909091e+00 5.000000000000e-01 1.687630880752e+02 1.138892005416e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.127253676525e+02 7.607233399864e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.603293719192e+02 1.081977356510e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024144354616e+02 6.911403620105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.157574167487e+01 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960261198652e+00 1.322875655532e-01 3.201378931978e+01 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.523366899269e+01 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.891251175846e+01 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.234864224506e+01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481818181818e+00 1.000000000000e-01 2.963636363636e+00 2.000000000000e-01 8.446363636364e+01 5.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.963636363636e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 JET 5.500000000000e-01 1.406250000000e+03 2.760000000000e+03 2.073626373626e+02 4.769340659341e+00 5.598791208791e+00 2.700000000000e+00 1.776078907435e+01 8.565086411055e+00 2.073626373626e+00 1.000000000000e+00 1.036813186813e+00 5.000000000000e-01 7.966612375408e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299762899736e+01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.306014272467e+01 6.298214032565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.831465270663e+01 8.832185460009e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.479944885800e+00 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.932550540877e-01 1.414213562373e-01 5.704357330871e+00 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.661474296427e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.876972146348e+00 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.795813117518e-01 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.167521881102e+00 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.147252747253e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.073626373626e-01 1.000000000000e-01 5.391428571429e+00 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.073626373626e-01 1.000000000000e-01 2.073626373626e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 JET 5.500000000000e-01 2.756250000000e+03 2.760000000000e+03 3.298924731183e+01 6.927741935484e-01 8.907096774194e-01 2.700000000000e+00 2.319303149286e+00 7.030482167001e+00 3.298924731183e-01 1.000000000000e+00 1.649462365591e-01 5.000000000000e-01 4.789125283920e-01 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.532394811183e+00 7.676424949154e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913945039698e+00 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.622521053795e+00 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608172043011e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364067216315e-02 1.322875655532e-01 9.896774193548e-01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.285295769230e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.502641203567e+00 4.554942370656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.298924731183e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.589883102233e-01 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.570857867131e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.597849462366e-02 2.000000000000e-01 3.298924731183e-02 1.000000000000e-01 1.979354838710e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.597849462366e-02 2.000000000000e-01 3.298924731183e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 JET 5.500000000000e-01 4.900000000000e+03 2.760000000000e+03 7.358947368421e+00 6.623052631579e-02 1.986915789474e-01 2.700000000000e+00 4.295509180959e-01 5.837124477058e+00 7.358947368421e-02 1.000000000000e+00 3.679473684211e-02 5.000000000000e-01 5.543686081088e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.562547368421e-01 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.569468780713e-01 4.850515436528e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.871875763387e-01 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839736842105e-01 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207684210526e-01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.478772093160e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.313161233843e-01 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943578947368e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.811536186467e-02 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.402067780556e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.471789473684e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.094842105263e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943578947368e-02 4.000000000000e-01 7.358947368421e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 JET 5.500000000000e-01 9.025000000000e+03 2.760000000000e+03 1.398969072165e+00 1.818659793814e-02 3.777216494845e-02 2.700000000000e+00 7.211180784355e-02 5.154639175258e+00 1.398969072165e-02 1.000000000000e+00 6.994845360825e-03 5.000000000000e-01 6.372607405618e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.822383026600e-02 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.018819547454e-02 4.302324952860e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.827456938232e-02 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.259072164948e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.196907216495e-02 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.611852801009e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.210800132131e-02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.611852801009e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.196907216495e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.946441422743e-02 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.797938144330e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.538865979381e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.398969072165e-03 1.000000000000e-01 1.398969072165e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 JET 5.500000000000e-01 1.822500000000e+04 2.760000000000e+03 1.897959183673e-01 4.934693877551e-03 5.124489795918e-03 2.700000000000e+00 7.746772178259e-03 4.081632653061e+00 1.897959183673e-03 1.000000000000e+00 9.489795918367e-04 5.000000000000e-01 1.643680868407e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.186907558435e-02 6.253598963797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.697271689494e-03 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.648277671823e-03 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.808048955248e-03 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.124489795918e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.518367346939e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.110387228853e-02 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.606122448980e-03 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.897959183673e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.897959183673e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129365457654e-02 5.950420153233e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.138775510204e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.518367346939e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.693877551020e-04 3.000000000000e-01 1.897959183673e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 JET 5.500000000000e-01 3.422500000000e+04 2.760000000000e+03 2.149494949495e-02 1.590626262626e-03 5.803636363636e-04 2.700000000000e+00 6.513621059076e-04 3.030303030303e+00 2.149494949495e-04 1.000000000000e+00 1.074747474747e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086452223165e-03 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.952717426083e-04 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.547758003034e-04 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.095337909452e-04 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.500145552795e-04 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.535046433933e-04 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.387173863589e-03 6.453487429290e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.357383415000e-04 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.149494949495e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.590916708399e-03 7.401351227985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.448484848485e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.448484848485e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.149494949495e-05 1.000000000000e-01 2.149494949495e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 JET 5.500000000000e-01 5.522500000000e+04 2.760000000000e+03 3.376767676768e-03 6.078181818182e-04 9.117272727273e-05 2.700000000000e+00 1.023262932354e-04 3.030303030303e+00 3.376767676768e-05 1.000000000000e+00 1.688383838384e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.743128555435e-04 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.354079627944e-04 4.009987531153e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.792573935578e-05 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.129770708092e-05 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.304034035002e-05 2.459166525472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207848358827e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.548732704590e-04 7.547847375245e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.335745322679e-04 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.599735694019e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.105295457711e-04 9.196058938480e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.376767676768e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.363737373737e-05 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.753535353535e-06 2.000000000000e-01 3.376767676768e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 JET 5.500000000000e-01 8.122500000000e+04 2.760000000000e+03 9.828282828283e-04 3.145050505051e-04 2.653636363636e-05 2.700000000000e+00 2.579255334809e-05 2.624319405407e+00 9.828282828283e-06 1.000000000000e+00 4.914141414141e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.246682618698e-05 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900176220066e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.676579455786e-05 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900176220066e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.511542604871e-07 8.660254037844e-02 1.732539777230e-05 1.762810256380e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.914141414141e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.893279892573e-05 8.031189202105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.280383606107e-05 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.965656565657e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016977974136e-04 1.034746345729e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.965656565657e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.081111111111e-05 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.828282828283e-07 1.000000000000e-01 9.828282828283e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 21 JET 5.500000000000e-01 1.260250000000e+05 2.760000000000e+03 3.630303030303e-04 1.597333333333e-04 9.801818181818e-06 2.700000000000e+00 9.527074689933e-06 2.624319405407e+00 3.630303030303e-06 1.000000000000e+00 1.815151515152e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.625447658619e-05 4.477443466980e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.215474031106e-05 3.348133808557e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.777664779449e-06 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.409170290042e-05 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.194505932352e-06 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.237869083502e-06 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.354054239034e-05 9.239047569961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.178408700305e-05 6.000624967451e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.431803943034e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.545133594730e-05 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.260606060606e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.541212121212e-06 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.630303030303e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 22 JET 5.500000000000e-01 2.025000000000e+05 2.760000000000e+03 8.889898989899e-05 6.934121212121e-05 2.400272727273e-06 2.700000000000e+00 2.332993443130e-06 2.624319405407e+00 8.889898989899e-07 1.000000000000e+00 4.444949494949e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.003678679055e-06 5.628498911788e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.103581610689e-06 4.616004766029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.936998627982e-06 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.732434439682e-06 4.198511641046e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.904597321200e-06 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.240518166898e-07 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.778888888889e-06 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.647094646317e-06 7.477131803038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.948445937365e-07 3.316624790355e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.379367452863e-05 1.551612064918e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.444949494949e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.333939393939e-07 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.889898989899e-08 1.000000000000e-01 8.889898989899e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 23 JET 1.000000000000e+00 6.250000000000e+02 2.760000000000e+03 1.285393258427e+03 2.056629213483e+01 3.470561797753e+01 2.700000000000e+00 1.362514128907e+02 1.059997880006e+01 1.285393258427e+01 1.000000000000e+00 6.426966292135e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.283254512822e+02 9.983361157446e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.133530916168e+01 7.105631569396e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.204623352981e+02 9.371632728612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.680869794857e+02 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.887875825406e+01 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.631018608089e+01 7.492663077972e+00 0.000000000000e+00 0.000000000000e+00 2.508164252634e+01 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.206636088800e+01 4.050617236916e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.463677409677e+01 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.279012756300e+01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.856179775281e+00 3.000000000000e-01 1.285393258427e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.221123595506e+02 9.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542471910112e+01 1.200000000000e+00 2.570786516854e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 24 JET 1.000000000000e+00 1.406250000000e+03 2.760000000000e+03 1.738043478261e+02 4.692717391304e+00 4.692717391304e+00 2.700000000000e+00 1.472468287555e+01 8.471987645717e+00 1.738043478261e+00 1.000000000000e+00 8.690217391304e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.256956521739e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.927583464538e+01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086346693428e+01 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.914457509554e+00 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.391412311461e+00 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.448088554261e+01 8.331716509820e+00 0.000000000000e+00 0.000000000000e+00 4.620548625186e+00 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.393538460444e+00 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.998777463003e+00 4.602173399602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.740807860717e+00 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.476086956522e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.216630434783e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.211630434783e+00 5.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.738043478261e-01 1.000000000000e-01 1.738043478261e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 25 JET 1.000000000000e+00 2.756250000000e+03 2.760000000000e+03 2.861702127660e+01 6.868085106383e-01 7.726595744681e-01 2.700000000000e+00 1.876671985965e+00 6.557887237201e+00 2.861702127660e-01 1.000000000000e+00 1.430851063830e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.087328185698e-01 1.428285685709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.283810423844e+00 7.980601481092e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737114478922e+00 6.070214164261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.628272667665e-01 1.267872233311e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.311588997471e-01 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.043012821595e+00 7.139152610780e+00 0.000000000000e+00 0.000000000000e+00 8.053543655697e-01 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.760671787592e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.293476699241e+00 4.519955751996e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478306740617e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.083796661100e-01 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478306740617e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430851063830e-01 5.000000000000e-01 2.861702127660e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.116063829787e+00 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430851063830e-01 5.000000000000e-01 2.861702127660e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 26 JET 1.000000000000e+00 4.900000000000e+03 2.760000000000e+03 6.184375000000e+00 6.802812500000e-02 1.669781250000e-01 2.700000000000e+00 3.572293578481e-01 5.776321097088e+00 6.184375000000e-02 1.000000000000e+00 3.092187500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.329062500000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.069840346986e-01 6.580843410992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.331966549452e-01 5.387717513010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960310306757e-01 3.169779172119e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.653380829906e-01 2.673480877059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.885835288161e-01 6.283311228962e+00 0.000000000000e+00 0.000000000000e+00 2.155456535338e-01 3.485326383569e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.831989317551e-02 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.138075218802e-01 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.817116883301e-02 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.355825856529e-03 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.024210000867e-02 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.363370681522e-01 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.092187500000e-02 5.000000000000e-01 6.184375000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.421250000000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.184375000000e-03 1.000000000000e-01 6.184375000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 27 JET 1.000000000000e+00 9.025000000000e+03 2.760000000000e+03 1.182653061224e+00 1.892244897959e-02 3.193163265306e-02 2.700000000000e+00 5.497184776254e-02 4.648180397523e+00 1.182653061224e-02 1.000000000000e+00 5.913265306122e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.387241080729e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.331256692070e-02 6.198991853519e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.757147517048e-02 4.022437072224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.261957818929e-02 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.064387755102e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.842744067531e-02 4.094813793080e+00 0.000000000000e+00 0.000000000000e+00 3.261957818929e-02 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362619579864e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.883327531604e-02 4.974685919734e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362619579864e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024207594884e-03 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.222916096266e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.807961077258e-02 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.913265306122e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.311428571429e-02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.547959183673e-03 3.000000000000e-01 1.182653061224e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 28 JET 1.000000000000e+00 1.822500000000e+04 2.760000000000e+03 1.523232323232e-01 4.722020202020e-03 4.112727272727e-03 2.700000000000e+00 6.154474033262e-03 4.040404040404e+00 1.523232323232e-03 1.000000000000e+00 7.616161616162e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.319157887785e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.656620184961e-03 6.339558344238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.637868267234e-03 4.357751713900e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.921398831935e-03 2.574393132371e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.603016580364e-03 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.651889853169e-03 3.710458192730e+00 0.000000000000e+00 0.000000000000e+00 4.313733698147e-03 2.831960451701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.451073676563e-03 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.179923601360e-03 6.026607669328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.139300149399e-03 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523232323232e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.525995042351e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.398170618715e-03 6.169886546769e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.132525252525e-03 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.569696969697e-03 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523232323232e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 29 JET 1.000000000000e+00 3.422500000000e+04 2.760000000000e+03 1.731313131313e-02 1.575494949495e-03 4.674545454545e-04 2.700000000000e+00 5.246403428222e-04 3.030303030303e+00 1.731313131313e-04 1.000000000000e+00 8.656565656566e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.801052174235e-04 5.661051139144e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.825458746385e-04 4.519955751996e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.178768247092e-04 2.991237202229e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.378279509097e-04 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.565957237353e-04 4.370068649346e+00 0.000000000000e+00 0.000000000000e+00 4.945619525868e-04 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.211919191919e-04 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.246785891515e-03 7.201388754956e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.760357446056e-04 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731313131313e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.419676767677e-03 8.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.462626262626e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.328282828283e-04 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731313131313e-05 1.000000000000e-01 1.731313131313e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 30 JET 1.000000000000e+00 5.522500000000e+04 2.760000000000e+03 2.305050505051e-03 5.071111111111e-04 6.223636363636e-05 2.700000000000e+00 6.985001530456e-05 3.030303030303e+00 2.305050505051e-05 1.000000000000e+00 1.152525252525e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129945068023e-04 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.013307507982e-05 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.570406244797e-05 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.771839100263e-05 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.047911046887e-04 4.546152219185e+00 0.000000000000e+00 0.000000000000e+00 5.081577811847e-05 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278212338769e-05 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.776085914072e-04 7.705193054038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.013307507982e-05 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.822493824036e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.201383573132e-04 9.550261776517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.220202020202e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.915151515152e-06 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.305050505051e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 31 JET 1.000000000000e+00 8.122500000000e+04 2.760000000000e+03 6.577777777778e-04 2.762666666667e-04 1.776000000000e-05 2.700000000000e+00 1.993265993266e-05 3.030303030303e+00 6.577777777778e-06 1.000000000000e+00 3.288888888889e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.329908640722e-05 5.062361109206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.142326783986e-05 3.256915718897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.551111111111e-06 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.273619141369e-05 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.478767711435e-05 5.288667128871e+00 0.000000000000e+00 0.000000000000e+00 1.283509694472e-05 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.877542813639e-06 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.185909532214e-05 9.404254356407e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.521876379796e-05 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.315555555556e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.893333333333e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.946666666667e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.907555555556e-05 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.577777777778e-07 1.000000000000e-01 6.577777777778e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 32 JET 1.000000000000e+00 1.260250000000e+05 2.760000000000e+03 5.297979797980e-05 6.569494949495e-05 1.430454545455e-06 2.700000000000e+00 1.390359119329e-06 2.624319405407e+00 5.297979797980e-07 1.000000000000e+00 2.648989898990e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.413344652657e-07 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.940617425934e-06 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.148623124317e-06 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.454918381901e-07 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.519048723356e-06 4.754734482597e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.597460924943e-06 6.790250363573e+00 0.000000000000e+00 0.000000000000e+00 1.298545548155e-06 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622439205405e-07 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.827777777778e-06 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.979837346303e-06 7.511990415329e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.059595959596e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.297979797980e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.982211420612e-06 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112575757576e-06 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112575757576e-06 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.059595959596e-07 2.000000000000e-01 5.297979797980e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 33 JET 1.650000000000e+00 6.250000000000e+02 2.760000000000e+03 1.063146067416e+03 1.275775280899e+01 2.870494382022e+01 2.700000000000e+00 1.162766576970e+02 1.093703501906e+01 1.063146067416e+01 1.000000000000e+00 5.315730337079e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210808556769e+02 1.138892005416e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.982804120740e+01 7.508661665037e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.150299971606e+02 1.081977356510e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.191897698130e+02 1.121104366239e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.428038468507e+01 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635932744258e+02 1.538765739156e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286999927189e+01 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.581407146444e+01 4.309292285283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.784157303371e+01 4.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.932337251704e+01 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.063146067416e+00 1.000000000000e-01 6.378876404494e+00 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.275775280899e+02 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.378876404494e+00 6.000000000000e-01 2.126292134831e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 34 JET 1.650000000000e+00 1.406250000000e+03 2.760000000000e+03 1.380434782609e+02 2.898913043478e+00 3.727173913043e+00 2.700000000000e+00 1.071551760899e+01 7.762422204938e+00 1.380434782609e+00 1.000000000000e+00 6.902173913043e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.612023442956e+00 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.667985694181e+01 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.330707831487e+00 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.171337754922e+00 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.982346204304e+00 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.305852989122e+01 1.670381692907e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.935449851845e+00 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.625486582231e+00 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.904934230656e+00 5.001999600160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.969565217391e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.289192110734e-01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.380434782609e-01 1.000000000000e-01 1.380434782609e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.592391304348e+00 5.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.521739130435e-01 4.000000000000e-01 1.380434782609e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 35 JET 1.650000000000e+00 2.756250000000e+03 2.760000000000e+03 2.135106382979e+01 4.056702127660e-01 5.764787234043e-01 2.700000000000e+00 1.259546557739e+00 5.899221545962e+00 2.135106382979e-01 1.000000000000e+00 1.067553191489e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.469137250661e-01 1.624807680927e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.712449825614e+00 8.020442631177e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308003183776e+00 6.126173356999e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.623854710684e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.890348977307e-01 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.395985141956e+00 1.122185367932e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.892128695719e-01 3.228002478314e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.365235312620e-01 2.044504830026e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.895475261318e-01 4.634652090503e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540673379917e-02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.755884082422e-01 2.695830113342e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.547169102326e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.270212765957e-02 2.000000000000e-01 2.135106382979e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.629680851064e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.135106382979e-02 1.000000000000e-01 2.135106382979e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 36 JET 1.650000000000e+00 4.900000000000e+03 2.760000000000e+03 4.359375000000e+00 3.923437500000e-02 1.177031250000e-01 2.700000000000e+00 2.068531061671e-01 4.745017489138e+00 4.359375000000e-02 1.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.284030351059e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.855557008511e-01 6.550381668269e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.068491616587e-01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.229175950507e-01 7.407428703673e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286385010510e-01 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.667187500000e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.049833566748e-01 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.051562500000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.305724888170e-02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.307812500000e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.667187500000e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.359375000000e-03 1.000000000000e-01 4.359375000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 37 JET 1.650000000000e+00 9.025000000000e+03 2.760000000000e+03 7.395876288660e-01 9.614639175258e-03 1.996886597938e-02 2.700000000000e+00 3.049845892231e-02 4.123711340206e+00 7.395876288660e-03 1.000000000000e+00 3.697938144330e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.368981984370e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.146780691123e-02 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.439480079000e-02 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.875051546392e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.395876288660e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.719907790898e-02 6.381810088055e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.516772255834e-02 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.998119676020e-03 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.220836382203e-02 5.707013229352e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.035422680412e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.405016749226e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.640856059091e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551561091885e-02 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.218762886598e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.331257731959e-02 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.218762886598e-03 3.000000000000e-01 7.395876288660e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 38 JET 1.650000000000e+00 1.822500000000e+04 2.760000000000e+03 8.371428571429e-02 2.344000000000e-03 2.260285714286e-03 2.700000000000e+00 3.050201938139e-03 3.643585932930e+00 8.371428571429e-04 1.000000000000e+00 4.185714285714e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.249869808824e-05 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.925853950345e-03 7.078665128398e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.896762871609e-03 4.654836194755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.645324446252e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.645324446252e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.692295863369e-03 5.605131577403e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.470280769798e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.454728419829e-04 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.665886509521e-03 6.768123816834e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.841714285714e-03 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.388244376534e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371428571429e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.749379883154e-03 6.867859928682e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.348571428571e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.925428571429e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371428571429e-05 1.000000000000e-01 8.371428571429e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 39 JET 1.650000000000e+00 3.422500000000e+04 2.760000000000e+03 9.238383838384e-03 7.760242424242e-04 2.494363636364e-04 2.700000000000e+00 3.332083685718e-04 3.606782034618e+00 9.238383838384e-05 1.000000000000e+00 4.619191919192e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.914008977875e-04 6.401562309312e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.758216120868e-04 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.238383838384e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.221058112171e-04 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.729292310428e-04 7.284057934970e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.774592903881e-04 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.040377232973e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.808893880668e-04 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.328383410261e-04 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.238383838384e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.057386145607e-04 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016222222222e-04 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.124828282828e-04 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.847676767677e-05 2.000000000000e-01 9.238383838384e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 40 JET 1.650000000000e+00 5.522500000000e+04 2.760000000000e+03 9.152525252525e-04 2.196606060606e-04 2.471181818182e-05 2.700000000000e+00 3.301116365219e-05 3.606782034618e+00 9.152525252525e-06 1.000000000000e+00 4.576262626263e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.720694372124e-05 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.486604847220e-05 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.968856888781e-05 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.020333333333e-05 3.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783145172866e-05 8.503822669835e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.565973747713e-05 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.322020202020e-06 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.881722930247e-05 9.704122835167e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.713994781455e-05 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.517774607344e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098303030303e-04 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098303030303e-05 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.111858585859e-05 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.152525252525e-07 1.000000000000e-01 9.152525252525e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 41 JET 1.650000000000e+00 8.122500000000e+04 2.760000000000e+03 9.035353535354e-05 6.957222222222e-05 2.439545454545e-06 2.700000000000e+00 3.258855080773e-06 3.606782034618e+00 9.035353535354e-07 1.000000000000e+00 4.517676767677e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.783332106543e-06 6.400781202322e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.170723498195e-06 4.616004766029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.533123846517e-06 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.348953219990e-06 4.813262926540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.236191002575e-06 1.022227958921e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.632685584512e-06 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.131818181818e-07 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.181525789393e-05 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173699118594e-06 6.832825184358e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.710606060606e-07 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.413534785787e-05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.324747474747e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.228282828283e-07 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.035353535354e-08 1.000000000000e-01 9.035353535354e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 42 JET 1.650000000000e+00 1.260250000000e+05 2.760000000000e+03 2.403030303030e-05 2.931696969697e-05 6.488181818182e-07 2.700000000000e+00 8.667206525611e-07 3.606782034618e+00 2.403030303030e-07 1.000000000000e+00 1.201515151515e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403030303030e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733183003123e-06 7.212489168103e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.345696969697e-06 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.864427568284e-07 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.501990057530e-06 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.057779342075e-06 1.272468074256e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.995268590530e-07 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.189264796443e-07 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.364242424242e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.187021629079e-06 9.101098834756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.177239615774e-07 4.898979485566e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.448852213693e-06 1.851350858157e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.806060606061e-08 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.170303030303e-07 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403030303030e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 43 JET 2.450000000000e+00 6.250000000000e+02 2.760000000000e+03 7.103409090909e+02 1.349647727273e+01 1.917920454545e+01 2.700000000000e+00 8.152376726459e+01 1.147671015723e+01 7.103409090909e+00 1.000000000000e+00 3.551704545455e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.605612274538e+01 1.211476372035e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.303350234080e+01 7.465922581972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.135419410730e+01 1.145283807621e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.193753143255e+01 7.311634564172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.165602999993e+01 4.456455991031e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.920326212120e+02 2.703386764782e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.491715909091e+01 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.263512088526e+01 4.594289934255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.312619061184e+01 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.954083157760e+01 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278613636364e+02 1.800000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841363636364e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.420681818182e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 44 JET 2.450000000000e+00 1.406250000000e+03 2.760000000000e+03 8.467391304348e+01 1.270108695652e+00 2.286195652174e+00 2.700000000000e+00 6.933375730161e+00 8.188325637674e+00 8.467391304348e-01 1.000000000000e+00 4.233695652174e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.286776933122e+00 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.901780569551e+00 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608967709108e+00 6.624198064672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622965110284e+00 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.710329205866e+00 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.281203849832e+01 2.694104675027e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.347697809373e+00 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.783634769104e+00 3.287476235656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.959580692721e+00 4.676269881006e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.936549413321e+00 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404157995482e-01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.540217391304e-01 3.000000000000e-01 8.467391304348e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.318369565217e+00 5.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.773913043478e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.467391304348e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 45 JET 2.450000000000e+00 2.756250000000e+03 2.760000000000e+03 1.096808510638e+01 2.851702127660e-01 2.961382978723e-01 2.700000000000e+00 7.000905387053e-01 6.382978723404e+00 1.096808510638e-01 1.000000000000e+00 5.484042553191e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.308514861747e-01 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.540815650269e-01 8.698706800439e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.545492534693e-01 6.879498528236e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.636906500821e-01 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.199094225861e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.827791153061e+00 1.666463320928e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622790222644e-01 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.369588726509e-01 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.674592991739e-01 5.173731728646e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.818851148328e-02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.134551309889e-01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.653364413213e-02 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.387234042553e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290425531915e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.096808510638e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.096808510638e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 46 JET 2.450000000000e+00 4.900000000000e+03 2.760000000000e+03 1.898947368421e+00 2.468631578947e-02 5.127157894737e-02 2.700000000000e+00 9.994459833795e-02 5.263157894737e+00 1.898947368421e-02 1.000000000000e+00 9.494736842105e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430526346772e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.512586378697e-01 7.965393901120e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.158669155765e-01 6.101639124039e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.861052693544e-02 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.892859294974e-02 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.089144188683e-01 1.100159079406e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.031235680244e-02 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.617980655305e-02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.120700756638e-01 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.329263157895e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.709052631579e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.034001667332e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.595789473684e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.937263157895e-02 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.797894736842e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.898947368421e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 47 JET 2.450000000000e+00 9.025000000000e+03 2.760000000000e+03 2.259375000000e-01 6.100312500000e-03 6.100312500000e-03 2.700000000000e+00 1.072077388952e-02 4.745017489138e+00 2.259375000000e-03 1.000000000000e+00 1.129687500000e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.067582427870e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.172762361891e-02 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.539155170671e-02 6.812305043082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.711250000000e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.279986910910e-03 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.253124831560e-02 9.972336737195e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.092005279864e-02 4.833218389438e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.957132612226e-03 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.821286097467e-02 8.061017305527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.518750000000e-03 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.259375000000e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.037500000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.570712560047e-02 6.951978135754e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129687500000e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.100312500000e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.807500000000e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.259375000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 48 JET 2.450000000000e+00 1.822500000000e+04 2.760000000000e+03 1.169791666667e-02 1.006020833333e-03 3.158437500000e-04 2.700000000000e+00 5.169797625472e-04 4.419417382416e+00 1.169791666667e-04 1.000000000000e+00 5.848958333333e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.231063317551e-03 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.190212627130e-04 7.001428425686e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.112113844350e-04 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.112113844350e-04 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245320013265e-03 1.064565639122e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.213125081175e-04 4.456455991031e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.581383547109e-04 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-03 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.509375000000e-04 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.013069300469e-05 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-03 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.358333333333e-05 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.637708333333e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 49 JET 2.450000000000e+00 3.422500000000e+04 2.760000000000e+03 5.484375000000e-04 2.138906250000e-04 1.480781250000e-05 2.700000000000e+00 3.281805808813e-05 5.983919423477e+00 5.484375000000e-06 1.000000000000e+00 2.742187500000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.032812500000e-05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.915175082716e-05 8.962142600963e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.209052827727e-05 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086046033869e-05 3.803616699932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.158700994145e-05 1.669962574431e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.637066352088e-05 4.808326112069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.771637014162e-06 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.580023803678e-05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072771614248e-05 7.426136276692e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.094807042303e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.902296874889e-05 1.805547008527e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.871875000000e-06 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.484375000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.935937500000e-06 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.484375000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 50 JET 2.450000000000e+00 5.522500000000e+04 2.760000000000e+03 6.525000000000e-05 7.373250000000e-05 1.761750000000e-06 2.700000000000e+00 3.904507423819e-06 5.983919423477e+00 6.525000000000e-07 1.000000000000e+00 3.262500000000e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.036116595822e-06 1.078332045337e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.626772552223e-06 7.090839160494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.243179467133e-06 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.205063793729e-06 4.911975162804e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542745147051e-05 2.364360378623e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.883228494501e-06 2.886173937932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308258432039e-06 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.376063560260e-05 2.108909670896e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.774809319092e-06 8.850282481367e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.780978911632e-07 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.068280909808e-05 3.169779172119e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.438500000000e-06 1.140000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.045500000000e-06 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.022750000000e-06 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 6.525000000000e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 51 JET 3.200000000000e+00 6.250000000000e+02 2.760000000000e+03 3.643023255814e+02 8.378953488372e+00 9.836162790698e+00 2.700000000000e+00 4.278224577054e+01 1.174361039344e+01 7.286046511628e+00 2.000000000000e+00 1.821511627907e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.732426029169e+01 1.299038105677e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.103205816862e+01 8.518215775619e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.260157065178e+01 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.583659215976e+01 9.837047321224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.719182778858e+01 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 1.419381890534e+02 3.896164780910e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.293280207436e+00 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.791760168442e+01 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.895072544921e+01 5.201922721456e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.165767441860e+01 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.643023255814e-01 1.000000000000e-01 1.457209302326e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.921744186047e+01 1.900000000000e+01 0.000000000000e+00 0.000000000000e+00 3.643023255814e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.286046511628e+00 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 52 JET 3.200000000000e+00 1.406250000000e+03 2.760000000000e+03 3.169662921348e+01 7.290224719101e-01 8.558089887640e-01 2.700000000000e+00 2.775851404707e+00 8.757560262989e+00 6.339325842697e-01 2.000000000000e+00 1.584831460674e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.300334656458e+00 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.460111075886e+00 1.407124727947e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.519981695435e+00 7.950314459190e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.903909688777e+00 6.006662967072e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.607191011236e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.411592932205e+01 4.453448102314e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.078617244183e+00 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.205305743310e+00 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.910231487098e+00 6.026607669328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.745008611321e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.300334656458e+00 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.169662921348e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.584831460674e-01 5.000000000000e-01 1.584831460674e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.838404494382e+00 5.800000000000e+00 0.000000000000e+00 0.000000000000e+00 9.508988764045e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.169662921348e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 53 JET 3.200000000000e+00 2.756250000000e+03 2.760000000000e+03 2.476923076923e+00 5.696923076923e-02 6.687692307692e-02 2.700000000000e+00 1.861066684125e-01 7.513623258889e+00 2.476923076923e-02 1.000000000000e+00 1.238461538462e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.665237108455e-02 1.883480820184e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.101103735559e-01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.452404027642e-01 9.901010049485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.437202466250e-01 5.802370205356e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.075507550741e-02 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 8.911580611102e-01 3.597843103861e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218233263387e-01 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.991551410400e-02 2.822676035254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.912370696406e-01 7.720751258783e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.953846153846e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.087303842409e-02 3.668787265569e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.256584317296e-02 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 5.449230769231e-02 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.907692307692e-02 4.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733846153846e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.476923076923e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 54 JET 3.200000000000e+00 4.900000000000e+03 2.760000000000e+03 1.949450549451e-01 7.602857142857e-03 5.263516483516e-03 2.700000000000e+00 1.421010114259e-02 7.289285253528e+00 1.949450549451e-03 1.000000000000e+00 9.747252747253e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.024790992489e-03 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.440708973772e-02 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823231377781e-02 9.352539762011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.423365924068e-02 7.301369734509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.119525895818e-03 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 5.052650905304e-02 2.591833327975e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.200891602663e-02 6.160154218849e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.943308443721e-03 2.535744466621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839934349858e-02 9.438220171198e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.986861078383e-03 1.532155344604e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.949450549451e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.607558105461e-03 8.246211251235e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.891900894610e-03 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 8.577582417582e-03 4.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.618043956044e-02 8.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.754505494505e-03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.949450549451e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 55 JET 3.200000000000e+00 9.025000000000e+03 2.760000000000e+03 4.981318681319e-03 7.471978021978e-04 1.344956043956e-04 2.700000000000e+00 3.631025280686e-04 7.289285253528e+00 4.981318681319e-05 1.000000000000e+00 2.490659340659e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.248746556107e-05 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.951572554462e-04 1.395528573695e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.949022211970e-04 9.935164819972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.989282425302e-04 1.001598722044e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.266078359737e-04 2.541653005428e+00 0.000000000000e+00 0.000000000000e+00 1.076100313891e-03 2.160271973618e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.138018936706e-04 8.307075297600e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.518281092641e-04 3.047950130826e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.227793949560e-04 1.250229978844e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.866997975946e-04 3.747999466382e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.313948522368e-06 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.030885262153e-05 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.894607212320e-04 1.183342722967e+01 0.000000000000e+00 0.000000000000e+00 1.245329670330e-04 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.295142857143e-04 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 8.966373626374e-05 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.981318681319e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 56 JET 3.200000000000e+00 1.822500000000e+04 2.760000000000e+03 1.656043956044e-04 1.142670329670e-04 4.471318681319e-06 2.700000000000e+00 1.189867294031e-05 7.184998258584e+00 1.656043956044e-06 1.000000000000e+00 8.280219780220e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.746238219267e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.933261280850e-05 2.375094734953e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.002643178651e-05 1.209293492085e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.124130575688e-05 1.282653499586e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.492111973781e-06 4.524102120863e+00 0.000000000000e+00 0.000000000000e+00 6.004455483417e-05 3.625782674127e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.439450549451e-06 5.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.908801978496e-06 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.147297092577e-05 2.504339982910e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.298003156125e-06 5.010738468529e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.025999467570e-07 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.941132373727e-05 2.379847684202e+01 0.000000000000e+00 0.000000000000e+00 4.388516483516e-05 2.650000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.968131868132e-05 3.000000000000e+01 0.000000000000e+00 0.000000000000e+00 3.312087912088e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.656043956044e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 57 JET 4.000000000000e+00 6.250000000000e+02 2.760000000000e+03 5.962820512821e+01 3.458435897436e+00 1.609961538462e+00 2.700000000000e+00 9.012899621300e+00 1.511516169558e+01 1.192564102564e+00 2.000000000000e+00 2.981410256410e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.166566058831e+01 1.956399754651e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.797399610157e+00 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.102718827993e+01 1.849324200891e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.105250064093e+00 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.187581483443e+00 7.022819946432e+00 5.891963696049e+01 9.881168959187e+01 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.341615070042e+03 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.580446613902e+03 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.872077794125e+03 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.045810101010e+02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.956623383867e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.856456125517e+03 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.066033535354e+03 7.000000000000e-01 1.066033535354e+03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.522905050505e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 JET 1.500000000000e-01 4.900000000000e+03 7.000000000000e+03 3.920451515152e+04 4.312496666667e+02 1.372158030303e+03 3.500000000000e+00 1.980026017753e+03 5.050505050505e+00 1.058521909091e+02 2.700000000000e-01 3.920451515152e+02 1.000000000000e+00 5.880677272727e+01 1.500000000000e-01 2.352270909091e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.392118034875e+03 6.101639124039e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.609105840116e+02 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.313643796004e+03 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.734731667069e+02 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.254544484848e+03 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.083019870836e+02 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.569160412845e+03 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.399881195151e+02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.728559039220e+03 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.920451515152e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568180606061e+02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.920451515152e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 JET 1.500000000000e-01 9.025000000000e+03 7.000000000000e+03 8.766993939394e+03 5.961555878788e+01 3.068447878788e+02 3.500000000000e+00 3.542219773493e+02 4.040404040404e+00 3.506797575758e+01 4.000000000000e-01 8.766993939394e+01 1.000000000000e+00 8.766993939394e+00 1.000000000000e-01 3.506797575758e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.791526892353e+02 6.606057825965e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.389494920201e+02 3.866199684445e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.849947334662e+02 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737435948993e+02 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.554492026620e+02 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.223459054784e+02 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.012516265147e+02 4.576843890718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.269207359072e+01 8.291561975888e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.104078545455e+02 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.260196363636e+01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.753398787879e+02 2.000000000000e+00 2.016408606061e+02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.766993939394e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 JET 1.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.522905050505e+03 9.442011313131e+00 5.330167676768e+01 3.500000000000e+00 4.614863789409e+01 3.030303030303e+00 5.330167676768e+00 3.500000000000e-01 1.522905050505e+01 1.000000000000e+00 1.066033535354e+00 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.861421142521e+01 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.182354368552e+01 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.102868288940e+01 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.066033535354e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.656081395734e+01 3.057368149242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.688983405842e+01 1.109053650641e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.778750940579e+01 5.107837115649e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.515099706773e+01 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.840133173867e+01 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218324040404e+01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.522905050505e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 JET 1.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.587498000000e+02 1.785373620000e+00 9.056243000000e+00 3.500000000000e+00 7.762494000000e+00 3.000000000000e+00 8.797493200000e-01 3.400000000000e-01 2.587498000000e+00 1.000000000000e+00 1.552498800000e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.460304583802e+00 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.963547351838e+00 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.281864838627e+00 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.113073030023e+00 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.600656175281e+00 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.716352002359e+00 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.504758566475e+01 5.815496539419e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.797381513927e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.722517000724e-01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.762494000000e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.164374100000e+01 4.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587498000000e-01 1.000000000000e-01 2.587498000000e-01 1.000000000000e-01 1.034999200000e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587498000000e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 JET 1.500000000000e-01 5.522500000000e+04 7.000000000000e+03 6.458558000000e+01 5.867712000000e-01 2.260495300000e+00 3.500000000000e+00 1.937567400000e+00 3.000000000000e+00 2.389666460000e-01 3.700000000000e-01 6.458558000000e-01 1.000000000000e+00 3.229279000000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.553380989240e+00 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.747077019023e+00 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.574087196917e+00 2.437211521391e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.448055825419e-01 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.841255483015e+00 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.415972616299e-01 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072990147476e+00 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.277042456766e+00 3.525620512761e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.643278781380e-01 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.137511749677e+00 6.406246951219e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.291711600000e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.583423200000e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.458558000000e-02 1.000000000000e-01 6.458558000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 JET 1.500000000000e-01 8.122500000000e+04 7.000000000000e+03 2.108709000000e+01 1.813387870000e-01 7.380481500000e-01 3.500000000000e+00 6.326127000000e-01 3.000000000000e+00 5.904385200000e-02 2.800000000000e-01 2.108709000000e-01 1.000000000000e+00 1.054354500000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.088541239687e+00 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130843934797e-01 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.227948398415e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.508007121884e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.677342829179e-01 2.218107301282e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.049069481757e-01 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245567122771e+00 5.906775770249e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.341403535164e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.095717337913e-01 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404271955841e+00 6.659391864127e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.217418000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.476096300000e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.108709000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 JET 1.500000000000e-01 1.260250000000e+05 7.000000000000e+03 6.071452000000e+00 6.253595560000e-02 2.125008200000e-01 3.500000000000e+00 1.214290400000e-01 2.000000000000e+00 1.578577520000e-02 2.600000000000e-01 6.071452000000e-02 1.000000000000e+00 3.035726000000e-03 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.105621220015e-01 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286517613379e-01 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.497933620771e-02 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.124038787046e-01 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.184711275569e-01 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540234454386e-02 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.765279379109e-01 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.537511048430e-01 4.179413834499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.474547218656e-02 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.103847964323e-01 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071452000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.857161600000e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071452000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 JET 1.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.354871000000e+00 2.736839420000e-02 4.742048500000e-02 3.500000000000e+00 2.709742000000e-02 2.000000000000e+00 2.845229100000e-03 2.100000000000e-01 1.354871000000e-02 1.000000000000e+00 6.774355000000e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.987197492667e-03 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.468692450762e-02 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.736705271069e-02 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.802538627923e-02 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783141337478e-03 5.744562646538e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.010401485603e-02 6.650375929224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.983502480653e-02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.740398119500e-03 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.050068729607e-01 7.750322573932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.709742000000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.419484000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.354871000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 JET 1.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.534889000000e-01 1.138234258000e-02 1.237211150000e-02 3.500000000000e+00 7.069778000000e-03 2.000000000000e+00 6.716289100000e-04 1.900000000000e-01 3.534889000000e-03 1.000000000000e+00 1.767444500000e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130244700000e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.220437144415e-03 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.544319783641e-03 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.010230212274e-02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.180150376233e-03 1.465435088975e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.262207839817e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.459924658064e-02 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.075298982200e-02 5.870902826653e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960190775030e-03 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.258239713385e-02 9.217374897442e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.060466700000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.474422300000e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.534889000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 JET 1.500000000000e-01 4.900000000000e+05 7.000000000000e+03 6.560428000000e-02 3.667320000000e-03 2.296149800000e-03 3.500000000000e+00 1.312085600000e-03 2.000000000000e+00 1.115272760000e-04 1.700000000000e-01 6.560428000000e-04 1.000000000000e+00 1.377689880000e-04 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.755379760000e-03 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.198232909660e-03 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.685082702261e-04 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286830920527e-03 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.965251531714e-04 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.988417177238e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.774599092367e-03 7.277877437825e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.871764297280e-03 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.249647038469e-04 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.369699246633e-03 9.709273917240e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.968128400000e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.592299600000e-04 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.560428000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 JET 1.500000000000e-01 8.100000000000e+05 7.000000000000e+03 1.028887000000e-02 1.718241290000e-03 3.601104500000e-04 3.500000000000e+00 2.057774000000e-04 2.000000000000e+00 1.131775700000e-05 1.100000000000e-01 1.028887000000e-04 1.000000000000e+00 2.160662700000e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.895544679926e-04 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.311239865139e-04 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039124933752e-04 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.652637232917e-04 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082778309760e-04 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.520248152983e-05 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.345408947584e-04 8.111103500757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.604546901782e-04 7.391041875135e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.018166505795e-04 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.185454650763e-03 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.144435000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.259983000000e-05 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028887000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 JET 1.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.161318000000e-03 4.331716140000e-04 4.064613000000e-05 3.500000000000e+00 2.322636000000e-05 2.000000000000e+00 1.393581600000e-06 1.200000000000e-01 1.161318000000e-05 1.000000000000e+00 2.438767800000e-06 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.846413871694e-05 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.333975717564e-05 5.454126877879e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.434592031995e-06 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.600085800000e-05 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.854109994968e-06 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.927054997484e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.725128219441e-05 8.374216381250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.992734819210e-05 8.604649905720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.690458200000e-05 4.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.749701991332e-04 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.129226000000e-06 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.645272000000e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.161318000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 JET 1.500000000000e-01 1.822500000000e+06 7.000000000000e+03 4.074800000000e-04 2.387832800000e-04 1.426180000000e-05 3.500000000000e+00 8.149600000000e-06 2.000000000000e+00 3.259840000000e-07 8.000000000000e-02 4.074800000000e-06 1.000000000000e+00 8.557080000000e-07 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.796483620728e-06 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587658420224e-05 6.350393688583e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.712319474830e-06 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.042663212760e-05 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.786102597034e-06 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.259585907816e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.796567936206e-05 9.317188417114e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.975541193184e-05 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.652518982122e-05 8.963676700997e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.763536693750e-05 1.905255888326e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.037400000000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.222440000000e-05 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e-07 1.000000000000e-01 4.074800000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 JET 5.500000000000e-01 6.250000000000e+02 7.000000000000e+03 4.792047959184e+06 2.923149255102e+04 1.677216785714e+05 3.500000000000e+00 5.378829341941e+05 1.122448979592e+01 3.354433571429e+04 7.000000000000e-01 4.792047959184e+04 1.000000000000e+00 1.437614387755e+04 3.000000000000e-01 4.675317576678e+05 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.930063679174e+05 8.201219421525e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.698162530795e+05 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.498195010204e+05 7.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.012660142857e+05 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.006330071429e+05 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.060580622449e+05 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.180645104871e+05 4.550549417378e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.389693908163e+05 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.229662346939e+04 1.300000000000e+00 1.868898704082e+05 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.584095918367e+03 2.000000000000e-01 9.584095918367e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 JET 5.500000000000e-01 1.406250000000e+03 7.000000000000e+03 7.511626262626e+05 8.938835252525e+03 2.629069191919e+04 3.500000000000e+00 5.311250892766e+04 7.070707070707e+00 3.229999292929e+03 4.300000000000e-01 7.511626262626e+03 1.000000000000e+00 1.502325252525e+03 2.000000000000e-01 3.607145188736e+04 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.740529494035e+04 1.030473192276e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.927277571087e+04 6.559535044498e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.160792978071e+04 8.201676657855e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.697610916630e+04 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.802790303030e+04 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403720404040e+04 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.381900656505e+04 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403720404040e+04 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245662293926e+03 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.511626262626e+03 1.000000000000e+00 1.276976464646e+04 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.511626262626e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 JET 5.500000000000e-01 2.756250000000e+03 7.000000000000e+03 1.533194949495e+05 3.296369141414e+03 5.366182323232e+03 3.500000000000e+00 9.292090603000e+03 6.060606060606e+00 4.292945858586e+02 2.800000000000e-01 1.533194949495e+03 1.000000000000e+00 2.913070404040e+02 1.900000000000e-01 2.737300499705e+03 1.785357107136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.092018035509e+04 7.122499561250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.695729764210e+03 5.671639974469e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.017193937875e+03 4.576843890718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.242870850440e+03 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.493595354459e+03 2.930870177951e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.537889222100e+03 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.319665175952e+03 4.121892769105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.542516188971e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983357325650e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.857440491762e+03 2.515949125082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.755545302475e+02 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.533194949495e+02 1.000000000000e-01 7.665974747475e+02 5.000000000000e-01 1.839833939394e+03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.533194949495e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 JET 5.500000000000e-01 4.900000000000e+03 7.000000000000e+03 3.817552525253e+04 3.168568595960e+02 1.336143383838e+03 3.500000000000e+00 1.928056830936e+03 5.050505050505e+00 1.145265757576e+02 3.000000000000e-01 3.817552525253e+02 1.000000000000e+00 6.108084040404e+01 1.600000000000e-01 2.290531515152e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.208496204425e+03 5.785110197740e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823156133902e+03 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.399928314911e+03 3.667083309662e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.627584247531e+02 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134237193189e+03 2.971110903349e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.216933807431e+02 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.633426294893e+03 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.562400707217e+02 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.101394332687e+02 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.594375424511e+02 1.465435088975e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.290531515152e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.817552525253e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 21 JET 5.500000000000e-01 9.025000000000e+03 7.000000000000e+03 8.592065656566e+03 4.811556767677e+01 3.007222979798e+02 3.500000000000e+00 3.471541679420e+02 4.040404040404e+00 3.264984949495e+01 3.800000000000e-01 8.592065656566e+01 1.000000000000e+00 9.451272222222e+00 1.100000000000e-01 3.436826262626e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.983398080808e+02 5.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.181385625325e+02 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.455512552758e+02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.486867316405e+01 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.284180899587e+02 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.519372851342e+01 1.107925990308e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.040098544065e+02 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.929136555484e+01 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.577619696970e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.136692407088e+02 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.577619696970e+01 3.000000000000e-01 6.014445959596e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.592065656566e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 22 JET 5.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.481745454545e+03 6.519680000000e+00 5.186109090909e+01 3.500000000000e+00 4.490137741047e+01 3.030303030303e+00 5.186109090909e+00 3.500000000000e-01 1.481745454545e+01 1.000000000000e+00 1.185396363636e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.152293637489e+01 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.417497256293e+01 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.894248078044e+01 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.185396363636e+01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631788034059e+01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.116237315044e+01 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.353325106957e+01 4.962610200288e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299094124411e+01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481745454545e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.335388318117e+01 4.950505024742e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.926269090909e+01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481745454545e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 23 JET 5.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.479865656566e+02 1.337686868687e+00 8.679529797980e+00 3.500000000000e+00 7.514744413835e+00 3.030303030303e+00 9.671476060606e-01 3.900000000000e-01 2.479865656566e+00 1.000000000000e+00 1.735905959596e-01 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071520077764e+01 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.955028035521e+00 3.611094017054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.978960574680e+00 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.627730704404e+00 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.403319407571e+00 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.228432171337e+00 8.986100377806e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.377330423419e+01 5.554052574472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.556227411343e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130783295729e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568600791538e+01 6.325345840347e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.479865656566e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.735905959596e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.479865656566e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 24 JET 5.500000000000e-01 5.522500000000e+04 7.000000000000e+03 6.173322000000e+01 4.444791840000e-01 2.160662700000e+00 3.500000000000e+00 1.851996600000e+00 3.000000000000e+00 1.851996600000e-01 3.000000000000e-01 6.173322000000e-01 1.000000000000e+00 4.321325400000e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.667418072421e+00 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.237776006074e+00 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.389683205386e+00 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.141647377449e+00 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.176175809103e+00 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.890172628969e+00 6.301587101675e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.018166505795e+00 3.269174207656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.754259602530e+00 7.701298591796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173322000000e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.469328800000e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173322000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 25 JET 5.500000000000e-01 8.122500000000e+04 7.000000000000e+03 1.996652000000e+01 1.357723360000e-01 6.988282000000e-01 3.500000000000e+00 5.989956000000e-01 3.000000000000e+00 4.991630000000e-02 2.500000000000e-01 1.996652000000e-01 1.000000000000e+00 1.397656400000e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.397723649406e-01 3.705064102010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.379856453298e-01 2.694438717061e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.388430805287e-01 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.312745429668e-01 2.660826939130e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631217844486e-01 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.142636333652e-01 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.311535940510e+00 6.568675665612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.237691372781e-01 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.187454063551e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.645997088244e+00 8.243785538210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.993304000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.397656400000e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996652000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 26 JET 5.500000000000e-01 1.260250000000e+05 7.000000000000e+03 5.745468000000e+00 5.285830560000e-02 2.010913800000e-01 3.500000000000e+00 1.149093600000e-01 2.000000000000e+00 1.723640400000e-02 3.000000000000e-01 5.745468000000e-02 1.000000000000e+00 4.021827600000e-03 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.911609678012e-01 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.438663351586e-01 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.801034199948e-02 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.740791473176e-01 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.510441785581e-02 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.051542425524e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.863159715556e-01 6.723838189606e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.442161845320e-01 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.368917143261e-02 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.234055126490e-01 9.109884741313e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745468000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.021827600000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745468000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 27 JET 5.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.212253000000e+00 2.133463410000e-02 4.242885500000e-02 3.500000000000e+00 2.424506000000e-02 2.000000000000e+00 2.909407200000e-03 2.400000000000e-01 1.212253000000e-02 1.000000000000e+00 8.485771000000e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.304351764637e-02 3.550704155516e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290993401146e-02 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.574762840721e-02 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290993401146e-02 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.458486970759e-02 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.636759000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.758419200000e-02 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.336667609272e-02 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.115799702037e-01 9.204346799203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.636759000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.849012000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.212253000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 28 JET 5.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.219092000000e-01 1.039074000000e-02 1.126682200000e-02 3.500000000000e+00 6.438184000000e-03 2.000000000000e+00 6.760093200000e-04 2.100000000000e-01 3.219092000000e-03 1.000000000000e+00 8.047730000000e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.002063578423e-02 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.417894448339e-03 2.304343724361e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.931455200000e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.281355085230e-03 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.251123555104e-03 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.149445756145e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.189455904704e-02 6.801470429253e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.627075076774e-02 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.365745069478e-03 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.387702434497e-02 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.438184000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.287636800000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.219092000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 29 JET 5.500000000000e-01 4.900000000000e+05 7.000000000000e+03 6.723420000000e-02 2.823836400000e-03 2.353197000000e-03 3.500000000000e+00 1.344684000000e-03 2.000000000000e+00 9.412788000000e-05 1.400000000000e-01 6.723420000000e-04 1.000000000000e+00 1.680855000000e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.264854658235e-03 3.368605052540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.815240043465e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.396006250247e-04 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.379120785532e-03 2.051219149677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.815240043465e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.689368000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.941942382464e-03 7.350340128185e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.105692632858e-03 6.106553856309e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.636337190064e-04 1.135781669160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.417711099706e-03 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344684000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.344684000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.723420000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 30 JET 5.500000000000e-01 8.100000000000e+05 7.000000000000e+03 7.945860000000e-03 9.455573400000e-04 2.781051000000e-04 3.500000000000e+00 1.589172000000e-04 2.000000000000e+00 1.032961800000e-05 1.300000000000e-01 7.945860000000e-05 1.000000000000e+00 1.986465000000e-05 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.254375504401e-04 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.553515572195e-04 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.559830564637e-05 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.344701981272e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.879399493055e-05 7.399324293474e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.605224423636e-05 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.777310882943e-04 8.529361054616e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.487247762264e-04 6.905794668248e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.429341928234e-04 3.057368149242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.197164520385e-03 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.972930000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.945860000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.945860000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 31 JET 5.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.405806000000e-03 4.301766360000e-04 4.920321000000e-05 3.500000000000e+00 2.811612000000e-05 2.000000000000e+00 1.968128400000e-06 1.400000000000e-01 1.405806000000e-05 1.000000000000e+00 3.514515000000e-06 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.677747402472e-05 5.461455849863e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.064805111263e-05 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.403751094081e-06 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.924335950484e-05 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.061360254811e-05 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.795571381965e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308891452925e-04 9.310612224768e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.133811081819e-04 8.065203035262e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.865499059174e-05 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478169235281e-04 1.762810256380e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.434836000000e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.092773200000e-05 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405806000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 32 JET 5.500000000000e-01 1.822500000000e+06 7.000000000000e+03 2.393945000000e-04 1.594367370000e-04 8.378807500000e-06 3.500000000000e+00 4.787890000000e-06 2.000000000000e+00 3.590917500000e-07 1.500000000000e-01 2.393945000000e-06 1.000000000000e+00 5.984862500000e-07 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.664566612742e-05 6.953236656407e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.214086557429e-05 5.071488933242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.345577488915e-06 9.797958971133e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.146450971916e-06 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.541981840525e-06 1.061838029080e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.633339500000e-05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286781423900e-05 9.552355730394e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.758236068607e-05 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.277549350058e-05 2.204540768505e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.196972500000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.745468000000e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.393945000000e-07 1.000000000000e-01 2.393945000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 33 JET 1.000000000000e+00 6.250000000000e+02 7.000000000000e+03 4.074800000000e+06 2.770864000000e+04 1.426180000000e+05 3.500000000000e+00 4.573755102041e+05 1.122448979592e+01 4.156296000000e+04 1.020000000000e+00 4.074800000000e+04 1.000000000000e+00 1.018700000000e+04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 3.708068000000e+05 9.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.069652616372e+05 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.709858688502e+05 9.104394543296e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.297240000000e+05 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.549495944746e+05 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.957740672659e+05 7.258615570479e+00 0.000000000000e+00 0.000000000000e+00 7.543884476820e+04 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.630938381855e+05 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733945905116e+05 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.083276211062e+05 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.830312000000e+05 9.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.889760000000e+04 1.200000000000e+00 8.149600000000e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 34 JET 1.000000000000e+00 1.406250000000e+03 7.000000000000e+03 6.923002040816e+05 1.045373308163e+04 2.423050714286e+04 3.500000000000e+00 4.945001457726e+04 7.142857142857e+00 4.984561469388e+03 7.200000000000e-01 6.923002040816e+03 1.000000000000e+00 1.384600408163e+03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.297522600789e+04 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.104767736051e+04 1.026255328853e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.664171930688e+04 6.737210105081e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.148050009613e+03 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.846101428571e+03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.499951326531e+04 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.384600408163e+03 2.000000000000e-01 6.923002040816e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 35 JET 1.000000000000e+00 2.756250000000e+03 7.000000000000e+03 1.430295959596e+05 3.704466535354e+03 5.006035858586e+03 3.500000000000e+00 8.668460361188e+03 6.060606060606e+00 6.579361414141e+02 4.600000000000e-01 1.430295959596e+03 1.000000000000e+00 3.003621515152e+02 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 2.413558213504e+03 1.687453703069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.076315528750e+04 7.525124583686e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.357139857854e+03 5.842944463197e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.427292733122e+03 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.229610744693e+03 1.558845726812e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.517649732921e+03 6.654321903846e+00 0.000000000000e+00 0.000000000000e+00 4.192011773623e+03 2.930870177951e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.413558213504e+03 1.687453703069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.146529433785e+03 4.297382924525e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.860591919192e+02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.716017907821e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540524237320e+03 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.371877518571e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.151479797980e+02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.433917474747e+03 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.290887878788e+02 3.000000000000e-01 1.430295959596e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 36 JET 1.000000000000e+00 4.900000000000e+03 7.000000000000e+03 3.488275757576e+04 3.453393000000e+02 1.220896515152e+03 3.500000000000e+00 1.761755433119e+03 5.050505050505e+00 1.639489606061e+02 4.700000000000e-01 3.488275757576e+02 1.000000000000e+00 6.278896363636e+01 1.800000000000e-01 0.000000000000e+00 0.000000000000e+00 2.441793030303e+02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.978424422864e+03 5.671639974469e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.623735225365e+03 4.654836194755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371861818182e+02 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.852495359968e+02 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.797985373237e+03 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 9.767172121212e+02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.908439076383e+02 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.484362782410e+03 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.062806264398e+01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.790620606061e+02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.412450751217e+02 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.488275757576e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.232413636364e+02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.976551515152e+01 2.000000000000e-01 3.488275757576e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 37 JET 1.000000000000e+00 9.025000000000e+03 7.000000000000e+03 7.768873737374e+03 5.515385858586e+01 2.719105808081e+02 3.500000000000e+00 3.138938883787e+02 4.040404040404e+00 5.438211616162e+01 7.000000000000e-01 7.768873737374e+01 1.000000000000e+00 9.322648484848e+00 1.200000000000e-01 0.000000000000e+00 0.000000000000e+00 3.538890408455e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.467440163339e+02 5.750434766172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.991520818674e+02 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.100471298938e+02 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.592107962255e+01 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.264776177536e+02 4.202380277890e+00 0.000000000000e+00 0.000000000000e+00 2.178057476968e+02 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.084933039592e+01 1.169401556353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.729059393939e+02 4.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.084933039592e+01 1.169401556353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.330662121212e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.991520818674e+02 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553774747475e+01 2.000000000000e-01 2.330662121212e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.087642323232e+02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553774747475e+01 2.000000000000e-01 7.768873737374e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 38 JET 1.000000000000e+00 1.822500000000e+04 7.000000000000e+03 1.317107070707e+03 6.585535353535e+00 4.609874747475e+01 3.500000000000e+00 3.991233547597e+01 3.030303030303e+00 8.297774545455e+00 6.300000000000e-01 1.317107070707e+01 1.000000000000e+00 1.053685656566e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.359914063612e+01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.070022842544e+01 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.783740756375e+01 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.246816350730e+01 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 39 JET 1.000000000000e+00 3.422500000000e+04 7.000000000000e+03 2.109429292929e+02 1.222440000000e+00 7.383002525253e+00 3.500000000000e+00 6.392209978574e+00 3.030303030303e+00 1.328940454545e+00 6.300000000000e-01 2.109429292929e+00 1.000000000000e+00 1.265657575758e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.357881032369e+00 4.436214602564e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.646499337354e+00 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.469800534586e+00 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.353594546613e+00 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.105834174138e+00 3.368605052540e+00 0.000000000000e+00 0.000000000000e+00 4.469800534586e+00 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726642290995e+00 8.185352771872e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.213746991615e+01 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.933539796335e+00 2.338803112705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.916226454873e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.364582293368e+01 6.468964368429e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.218858585859e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.531315151515e+00 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.109429292929e-01 1.000000000000e-01 2.109429292929e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 40 JET 1.000000000000e+00 5.522500000000e+04 7.000000000000e+03 5.103687000000e+01 5.093500000000e-01 1.786290450000e+00 3.500000000000e+00 1.531106100000e+00 3.000000000000e+00 2.704954110000e-01 5.300000000000e-01 5.103687000000e-01 1.000000000000e+00 3.062212200000e-02 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.194585410000e+00 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.786290450000e+00 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.051842527054e+00 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.723829708922e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.990437930000e+00 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 1.001090514261e+00 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.500285791375e-01 4.898979485566e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.167576929907e+00 6.206448259673e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.659090819858e+00 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.940429782968e+00 7.720751258783e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.103687000000e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.165899200000e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.103687000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 41 JET 1.000000000000e+00 8.122500000000e+04 7.000000000000e+03 1.619733000000e+01 1.587338340000e-01 5.669065500000e-01 3.500000000000e+00 4.859199000000e-01 3.000000000000e+00 6.316958700000e-02 3.900000000000e-01 1.619733000000e-01 1.000000000000e+00 9.718398000000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.835536323846e-01 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.144586270723e-01 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.313441458570e-01 1.428285685709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.131906818385e-01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.245430848467e-01 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 2.694556195070e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.058069932335e-02 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.085462834273e+00 6.701492371107e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.913134752093e-01 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.805459850696e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.368722305256e+00 8.450295852809e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.457759700000e-01 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.239466000000e-02 2.000000000000e-01 1.619733000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 42 JET 1.000000000000e+00 1.260250000000e+05 7.000000000000e+03 4.461906000000e+00 4.729620360000e-02 1.561667100000e-01 3.500000000000e+00 8.923812000000e-02 2.000000000000e+00 2.141714880000e-02 4.800000000000e-01 4.461906000000e-02 1.000000000000e+00 2.677143600000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.351891250445e-01 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.052811280280e-01 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.501007165266e-02 1.232882800594e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.263594133121e-01 2.831960451701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731972598341e-01 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 6.659310623326e-02 1.492481155660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.593219117694e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.987395182243e-01 6.695334196289e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.764992632078e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.826113732247e-02 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.052911594950e-01 9.083363914322e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.923812000000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.354287200000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.461906000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 43 JET 1.000000000000e+00 2.025000000000e+05 7.000000000000e+03 9.351666000000e-01 1.813286000000e-02 3.273083100000e-02 3.500000000000e+00 1.870333200000e-02 2.000000000000e+00 4.021216380000e-03 4.300000000000e-01 9.351666000000e-03 1.000000000000e+00 5.610999600000e-04 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.563463342431e-02 3.810511776652e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.715205937501e-02 2.903446228192e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.597329373133e-03 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.715205937501e-02 2.903446228192e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.123225790088e-02 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 1.277965979210e-02 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.339212671332e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.312720898498e-02 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.267834393060e-02 4.563715591489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 44 JET 1.000000000000e+00 3.025000000000e+05 7.000000000000e+03 2.180018000000e-01 8.000666060000e-03 7.630063000000e-03 3.500000000000e+00 4.360036000000e-03 2.000000000000e+00 8.938073800000e-04 4.100000000000e-01 2.180018000000e-03 1.000000000000e+00 6.104050400000e-04 2.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.200662484823e-03 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.886048600000e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.663852906122e-04 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.125360943386e-03 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.597032507431e-03 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 2.947058605252e-03 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.930454595169e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.602387378556e-02 7.350340128185e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.220810080000e-02 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.526012600000e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.398019800000e-02 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.360036000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.270027000000e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.180018000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 45 JET 1.000000000000e+00 4.900000000000e+05 7.000000000000e+03 4.146109000000e-02 2.761308594000e-03 1.451138150000e-03 3.500000000000e+00 8.292218000000e-04 2.000000000000e+00 1.036527250000e-04 2.500000000000e-01 4.146109000000e-04 1.000000000000e+00 2.114515590000e-04 5.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.538536080809e-03 3.710795063056e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.441371102066e-04 1.071214264281e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.123371537159e-04 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.536050700000e-04 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.159163639138e-03 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 3.911431407745e-04 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.480457034022e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.337746503665e-03 8.050310553016e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.802459935369e-03 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.190921844818e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.604919870737e-03 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.292218000000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.292218000000e-04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.146109000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 46 JET 1.000000000000e+00 8.100000000000e+05 7.000000000000e+03 2.750490000000e-03 6.133592700000e-04 9.626715000000e-05 3.500000000000e+00 5.500980000000e-05 2.000000000000e+00 7.151274000000e-06 2.600000000000e-01 2.750490000000e-05 1.000000000000e+00 2.392926300000e-05 8.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.636657112727e-04 5.950420153233e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.812544135869e-05 3.567562192871e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.490674626860e-05 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.351666000000e-05 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.697021124802e-04 6.169886546769e+00 0.000000000000e+00 0.000000000000e+00 2.251373094551e-05 8.185352771872e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134056079221e-05 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.788832748027e-04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.188800816811e-04 7.957857751933e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.004117222053e-04 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.691984457422e-04 1.705872210923e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375245000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.200392000000e-05 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.750490000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 47 JET 1.000000000000e+00 1.210000000000e+06 7.000000000000e+03 4.747142000000e-04 2.928986614000e-04 1.661499700000e-05 3.500000000000e+00 9.494284000000e-06 2.000000000000e+00 1.424142600000e-06 3.000000000000e-01 4.747142000000e-06 1.000000000000e+00 5.886456080000e-06 1.240000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.384399306324e-05 7.129340782990e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.213792402224e-05 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.632417582605e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.133971016616e-05 4.495275297465e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660843742624e-05 7.711679453919e+00 0.000000000000e+00 0.000000000000e+00 4.370207683854e-06 9.205976319761e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.103846837296e-06 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.551315243027e-05 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.891802570929e-05 1.030473192276e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.876049437260e-05 8.165016840154e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.052967033042e-04 2.218107301282e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.848285200000e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.133113720000e-05 6.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.747142000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 48 JET 1.000000000000e+00 1.822500000000e+06 7.000000000000e+03 1.039074000000e-04 1.080636960000e-04 3.636759000000e-06 3.500000000000e+00 2.078148000000e-06 2.000000000000e+00 2.701592400000e-07 2.600000000000e-01 1.039074000000e-06 1.000000000000e+00 1.756035060000e-06 1.690000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039074000000e-07 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.109866435505e+03 1.862122444954e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.670285365956e+03 4.121892769105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.266087755102e+02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943734344685e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.012171097085e+03 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943734344685e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.798263265306e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.039478979592e+03 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.133043877551e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 52 JET 1.650000000000e+00 4.900000000000e+03 7.000000000000e+03 2.775437755102e+04 2.026069561224e+02 9.714032142857e+02 3.500000000000e+00 1.416039670970e+03 5.102040816327e+00 1.332210122449e+02 4.800000000000e-01 2.775437755102e+02 1.000000000000e+00 2.775437755102e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.387718877551e+02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.845770443959e+03 6.650375929224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.498736387755e+03 5.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.110175102041e+02 4.000000000000e-01 0.000000000000e+00 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1.000000000000e-01 1.110175102041e+02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.665262653061e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.775437755102e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 53 JET 1.650000000000e+00 9.025000000000e+03 7.000000000000e+03 6.070620408163e+03 6.738388653061e+01 2.124717142857e+02 3.500000000000e+00 2.477804248230e+02 4.081632653061e+00 2.549660571429e+01 4.200000000000e-01 6.070620408163e+01 1.000000000000e+00 4.249434285714e+00 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.428248163265e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 54 JET 1.650000000000e+00 1.822500000000e+04 7.000000000000e+03 9.857723232323e+02 6.997131313131e+00 3.450203131313e+01 3.500000000000e+00 2.987188858280e+01 3.030303030303e+00 4.830284383838e+00 4.900000000000e-01 9.857723232323e+00 1.000000000000e+00 4.928861616162e-01 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.570049791628e+01 5.650442460551e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.647357595960e+01 3.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.299757497877e+00 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.886178585859e+00 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.387240608106e+01 4.450561762295e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.365853575758e+01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.900406262626e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.978638214507e+01 5.050495025243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.478658484848e+01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.982540351455e+01 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971544646465e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.084349555556e+01 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 55 JET 1.650000000000e+00 3.422500000000e+04 7.000000000000e+03 1.553774747475e+02 1.258557545455e+00 5.438211616162e+00 3.500000000000e+00 4.708408325681e+00 3.030303030303e+00 6.836608888889e-01 4.400000000000e-01 1.553774747475e+00 1.000000000000e+00 7.768873737374e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.265870053483e+00 4.676269881006e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.969407647040e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.465828165114e+00 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.318979530746e+00 1.492481155660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.163973743118e+00 5.254283966441e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.511496553577e+00 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.288321961526e+00 8.291561975888e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.488209176027e+00 6.106553856309e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.754866341270e+00 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.094391193589e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071175285931e+01 6.894019147058e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.215098989899e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.864529696970e+00 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553774747475e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 56 JET 1.650000000000e+00 5.522500000000e+04 7.000000000000e+03 3.477985858586e+01 2.294647474747e-01 1.217295050505e+00 3.500000000000e+00 1.053935108662e+00 3.030303030303e+00 2.017231797980e-01 5.800000000000e-01 3.477985858586e-01 1.000000000000e+00 1.738992929293e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.514721738422e+00 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.221263423054e+00 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.521381616162e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.770915857346e-01 1.946792233393e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.934194836747e+00 5.561249859519e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.955971717172e-01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.280667845607e-01 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.208657944535e+00 6.350393688583e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.117294498902e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.767731672586e+00 7.957857751933e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086791515152e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.521381616162e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.477985858586e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 57 JET 1.650000000000e+00 8.122500000000e+04 7.000000000000e+03 9.857723232323e+00 1.261788573737e-01 3.450203131313e-01 3.500000000000e+00 2.987188858280e-01 3.030303030303e+00 4.633129919192e-02 4.700000000000e-01 9.857723232323e-02 1.000000000000e+00 5.914633939394e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.899411792654e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.830986398172e-01 2.871846096155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583384807615e-01 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.915537261511e-01 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.113378152644e-01 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.893606796644e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.122223245601e-02 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.149907982348e-01 7.253102784326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.945552954084e-01 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.707407748534e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.987843690193e-01 9.117565464531e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971544646465e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.871950909091e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e-03 1.000000000000e-01 9.857723232323e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 58 JET 1.650000000000e+00 1.260250000000e+05 7.000000000000e+03 2.393945000000e+00 2.444880000000e-02 8.378807500000e-02 3.500000000000e+00 4.787890000000e-02 2.000000000000e+00 9.096991000000e-03 3.800000000000e-01 2.393945000000e-02 1.000000000000e+00 1.436367000000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.723950765850e-02 3.644173431658e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.472511890040e-02 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.951453616068e-02 1.232882800594e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.779400447434e-02 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.557536750211e-01 6.506150935845e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.039671355193e-02 1.687453703069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.548093439684e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.803420912119e-01 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.140269451895e-01 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.870488096919e-03 4.123105625618e-01 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 59 JET 1.650000000000e+00 2.025000000000e+05 7.000000000000e+03 3.983117000000e-01 7.886571660000e-03 1.394090950000e-02 3.500000000000e+00 7.966234000000e-03 2.000000000000e+00 1.832233820000e-03 4.600000000000e-01 3.983117000000e-03 1.000000000000e+00 2.788181900000e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.727497634387e-02 4.337049688440e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.280031524011e-02 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.397833248224e-03 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.294359819126e-02 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.888995700300e-02 7.253102784326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.014374777262e-03 1.509966887054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.422257248901e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.126873693287e-02 7.850318464878e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.117804992625e-02 5.316954015223e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.589235331172e-02 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.593246800000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983117000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983117000000e-04 1.000000000000e-01 3.983117000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 60 JET 1.650000000000e+00 3.025000000000e+05 7.000000000000e+03 7.385575000000e-02 3.484972700000e-03 2.584951250000e-03 3.500000000000e+00 1.477115000000e-03 2.000000000000e+00 3.249653000000e-04 4.400000000000e-01 7.385575000000e-04 1.000000000000e+00 4.283633500000e-04 5.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.956075817112e-03 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179370431310e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.588757180686e-03 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.957874003381e-03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.130917013739e-03 8.301204731845e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.107836250000e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.954230000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.573991537512e-03 8.901123524589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.985536657311e-03 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.828946259741e-04 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.033980500000e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.692787500000e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.862690000000e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.385575000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 61 JET 1.650000000000e+00 4.900000000000e+05 7.000000000000e+03 9.687837000000e-03 8.496233049000e-04 3.390742950000e-04 3.500000000000e+00 1.937567400000e-04 2.000000000000e+00 3.972013170000e-05 4.100000000000e-01 9.687837000000e-05 1.000000000000e+00 6.006458940000e-05 6.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.896672145607e-04 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765207910282e-04 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.417208373813e-04 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.149292155060e-04 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.822888679160e-04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.351965335080e-04 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.971983806128e-05 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.015179466916e-03 1.047890738579e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.787674551649e-04 9.070832376359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996611263928e-04 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765207910282e-03 1.822086715829e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.812702200000e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.034445770000e-04 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.937567400000e-05 2.000000000000e-01 9.687837000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 62 JET 1.650000000000e+00 8.100000000000e+05 7.000000000000e+03 4.950882000000e-04 1.940745744000e-04 1.732808700000e-05 3.500000000000e+00 1.485264600000e-05 3.000000000000e+00 1.881335160000e-06 3.800000000000e-01 4.950882000000e-06 1.000000000000e+00 3.366599760000e-06 6.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.986843556746e-05 8.052794545995e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.470857190197e-05 4.990741427884e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.246510435607e-06 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.228996824481e-05 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.941058400000e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.926065392597e-06 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.886835477906e-06 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.692852720340e-05 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.210200579637e-05 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.650803198896e-05 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.147280780557e-04 2.317326045251e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.445970200000e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.930843980000e-05 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.485264600000e-06 3.000000000000e-01 4.950882000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 63 JET 1.650000000000e+00 1.210000000000e+06 7.000000000000e+03 7.059591000000e-05 7.271378730000e-05 2.470856850000e-06 3.500000000000e+00 2.117877300000e-06 3.000000000000e+00 1.058938650000e-07 1.500000000000e-01 7.059591000000e-07 1.000000000000e+00 5.435885070000e-07 7.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.059591000000e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.074530903257e-06 8.604649905720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.765485384160e-06 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.547396780993e-06 7.857957749950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.208013694549e-06 5.960704656330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024857143076e-05 1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.329874323073e-07 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.668271087797e-07 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.095374656899e-05 1.551612064918e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.883427400000e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.133862108701e-06 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 + 64 JET 2.450000000000e+00 6.250000000000e+02 7.000000000000e+03 2.928762500000e+06 2.020846125000e+04 1.025066875000e+05 3.500000000000e+00 3.050794270833e+05 1.041666666667e+01 3.719528375000e+04 1.270000000000e+00 2.928762500000e+04 1.000000000000e+00 5.857525000000e+02 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.803171511610e+05 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.167284250000e+05 7.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.803171511610e+05 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 1.971006488262e+04 4.563715591489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.379069939996e+04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.713246748070e+04 6.282316451756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.890828842262e+04 4.378070351194e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.984378101273e+03 2.080264406271e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.079499920641e+05 2.499499949990e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.952146098609e+03 2.304343724361e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344408875324e+04 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.861124534129e+04 4.309292285283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.318863541667e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 66 JET 2.450000000000e+00 2.756250000000e+03 7.000000000000e+03 8.401649484536e+04 2.386068453608e+03 2.940577319588e+03 3.500000000000e+00 5.196896588373e+03 6.185567010309e+00 4.620907216495e+02 5.500000000000e-01 8.401649484536e+02 1.000000000000e+00 1.680329896907e+01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.946936117359e+03 2.317326045251e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.412831060611e+03 7.632823854905e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.665032272884e+03 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.643837127929e+03 4.337049688440e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.393255948014e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.182812566190e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.412824427343e+03 2.871846096155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.182812566190e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.680329896907e+02 2.000000000000e-01 8.401649484536e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344263917526e+03 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.401649484536e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 67 JET 2.450000000000e+00 4.900000000000e+03 7.000000000000e+03 1.795852577320e+04 1.885645206186e+02 6.285484020619e+02 3.500000000000e+00 9.256972048039e+02 5.154639175258e+00 1.023635969072e+02 5.700000000000e-01 1.795852577320e+02 1.000000000000e+00 3.591705154639e+00 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.180497811803e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.257096804124e+03 7.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.967790713901e+02 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.526988569294e+02 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.436682061856e+02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.795852577320e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 68 JET 2.450000000000e+00 9.025000000000e+03 7.000000000000e+03 3.575844897959e+03 2.144467448980e+01 1.251545714286e+02 3.500000000000e+00 1.459528529779e+02 4.081632653061e+00 2.789159020408e+01 7.800000000000e-01 3.575844897959e+01 1.000000000000e+00 7.151689795918e-01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.072753469388e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 1.118845240989e+02 3.128897569432e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.645158782438e+01 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.862187965360e+02 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.645158782438e+01 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 + 69 JET 2.450000000000e+00 1.822500000000e+04 7.000000000000e+03 5.176659183673e+02 3.157762102041e+00 1.811830714286e+01 3.500000000000e+00 1.584691586839e+01 3.061224489796e+00 3.416595061224e+00 6.600000000000e-01 5.176659183673e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.313061877551e+01 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.123692489780e+01 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.254981090596e+00 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.228169498973e+00 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.183855824305e+01 6.150406490631e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405346178846e+01 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.415359523424e+00 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.033871200197e+01 5.860674022670e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.346701503244e+00 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.176659183673e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.028566839121e+01 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.070663673469e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.764988775510e+00 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.176659183673e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 70 JET 2.450000000000e+00 3.422500000000e+04 7.000000000000e+03 6.101910101010e+01 5.430699989899e-01 2.135668535354e+00 3.500000000000e+00 1.849063666973e+00 3.030303030303e+00 4.942547181818e-01 8.100000000000e-01 6.101910101010e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.383672836704e+00 5.545268253205e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.863837752592e+00 4.693346354149e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.766463619107e-01 1.272792206136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.209656546469e+00 1.982422760160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.616126246962e+00 7.565051222563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765077038900e+00 2.892663132824e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.001935055229e-01 9.836157786453e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.312436197127e+00 7.067354526271e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.909225168395e+00 3.128897569432e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.000645018410e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.026859312467e+00 8.238173341221e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.271337070707e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.763056161616e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.101910101010e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 71 JET 2.450000000000e+00 5.522500000000e+04 7.000000000000e+03 1.028989898990e+01 1.347976767677e-01 3.601464646465e-01 3.500000000000e+00 3.118151209060e-01 3.030303030303e+00 7.305828282828e-02 7.100000000000e-01 1.028989898990e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071040404040e-01 5.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.941294779091e-01 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.069357671315e-01 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.547139739079e-01 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.623531415891e-01 9.352406107521e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.469575757576e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.727894475432e-02 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.159166196464e-01 8.901123524589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.838441370137e-01 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082886598420e+00 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173939393939e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.955080808081e-01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028989898990e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 72 JET 2.450000000000e+00 8.122500000000e+04 7.000000000000e+03 1.903631313131e+00 3.883407878788e-02 6.662709595960e-02 3.500000000000e+00 5.768579736762e-02 3.030303030303e+00 1.066033535354e-02 5.600000000000e-01 1.903631313131e-02 1.000000000000e+00 4.187988888889e-03 2.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.005146175818e-01 5.280151512978e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.501249467124e-02 3.940494892777e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.748840495975e-02 3.019933774108e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.762405359294e-02 4.077683165720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.756789752725e-01 9.228623949430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.397726363732e-02 2.835489375752e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.601201772031e-02 8.411301920630e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.780378754827e-01 9.352539762011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.025269387551e-01 5.385861119635e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.242965383056e-03 4.330127018922e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.383343363094e-01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.713268181818e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.330167676768e-02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.903631313131e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.903631313131e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 73 JET 2.450000000000e+00 1.260250000000e+05 7.000000000000e+03 2.840012121212e-01 8.718837212121e-03 9.940042424242e-03 3.500000000000e+00 8.606097337006e-03 3.030303030303e+00 2.612811151515e-03 9.200000000000e-01 2.840012121212e-03 1.000000000000e+00 3.692015757576e-04 1.300000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.692847347494e-02 5.960704656330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.332916053483e-02 4.693346354149e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.604814932957e-03 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.539118884571e-02 5.419409561936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.713797750438e-02 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.874314527237e-03 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.941829082781e-03 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.431599702617e-02 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.193392310210e-02 7.723179397114e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.412888190918e-03 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.724588716342e-02 1.663580475961e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.988008484848e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.272009696970e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.840012121212e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 74 JET 2.450000000000e+00 2.025000000000e+05 7.000000000000e+03 1.691042000000e-02 1.943679600000e-03 5.918647000000e-04 3.500000000000e+00 5.073126000000e-04 3.000000000000e+00 1.809414940000e-04 1.070000000000e+00 1.691042000000e-04 1.000000000000e+00 2.367458800000e-05 1.400000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.470987854523e-03 8.698706800439e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.023150285382e-03 6.050413209030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.730846442197e-04 2.206241147291e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.023150285382e-03 6.050413209030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.716215650141e-03 1.606237840421e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.664947092762e-04 2.758622844827e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.211324356185e-04 1.307669683062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.454924758307e-03 1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.779615835843e-03 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.895824600183e-03 2.303801206702e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.029250400000e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.469835200000e-04 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.382084000000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.691042000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 75 JET 2.450000000000e+00 3.025000000000e+05 7.000000000000e+03 3.188531000000e-04 2.914317334000e-04 1.115985850000e-05 3.500000000000e+00 1.275412400000e-05 4.000000000000e+00 -2.231971700000e-07 -7.000000000000e-02 3.188531000000e-06 1.000000000000e+00 5.101649600000e-07 1.600000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.652474400000e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.799500304646e-06 2.132486811214e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.609033700000e-06 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.769529909481e-06 2.123087374556e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.321459482026e-05 1.355313616843e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.230064383767e-05 1.326649916142e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.665238114626e-05 8.358827668998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.144017377398e-05 2.240535650241e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.507384100000e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.550824800000e-05 8.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.782796500000e-06 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.188531000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 76 JET 3.200000000000e+00 6.250000000000e+02 7.000000000000e+03 2.070261290323e+06 1.614803806452e+04 7.245914516129e+04 3.500000000000e+00 2.226087408949e+05 1.075268817204e+01 7.929100741935e+04 3.830000000000e+00 2.070261290323e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.090861412531e+05 1.009950493836e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.594370035981e+05 7.701298591796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.990898284213e+05 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.238817759690e+05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.286219198135e+04 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 7.010670182555e+05 3.386369737639e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.832780016449e+04 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.602801340713e+04 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.016338502137e+04 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.488145148521e+04 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140522580645e+03 2.000000000000e-01 1.242156774194e+04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.898365806452e+05 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 6.210783870968e+03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140522580645e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 77 JET 3.200000000000e+00 1.406250000000e+03 7.000000000000e+03 2.893541489362e+05 4.832214287234e+03 1.012739521277e+04 3.500000000000e+00 2.462588501584e+04 8.510638297872e+00 7.725755776596e+03 2.670000000000e+00 2.893541489362e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.432449168239e+04 4.950505024742e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.333857086094e+04 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996962937467e+04 6.901449123191e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.795938272969e+04 9.662685961988e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.092128627681e+03 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 1.033099673386e+05 3.570364127088e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.670614217209e+03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.013565910252e+04 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.433617680042e+04 4.954543369474e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.000157125828e+04 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.893541489362e+02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.604187340426e+03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.880801968085e+04 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.893541489362e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 78 JET 3.200000000000e+00 2.756250000000e+03 7.000000000000e+03 4.557342105263e+04 1.681659236842e+03 1.595069736842e+03 3.500000000000e+00 2.878321329640e+03 6.315789473684e+00 8.112068947368e+02 1.780000000000e+00 4.557342105263e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.592095500740e+02 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.912618206393e+03 8.585307216402e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.155116104673e+03 6.923149572268e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.266298306464e+03 7.167112389240e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.031704664428e+02 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 1.123733739600e+04 2.465765601188e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.625860139471e+03 3.567562192871e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.929882685020e+02 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.312486277777e+03 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.184032211068e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.578709614758e+02 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.327900321473e+03 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.879040287207e+02 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 1.367202631579e+02 3.000000000000e-01 9.114684210526e+01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.570418421053e+02 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.557342105263e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 79 JET 3.200000000000e+00 4.900000000000e+03 7.000000000000e+03 9.094019791667e+03 1.536889344792e+02 3.182906927083e+02 3.500000000000e+00 4.736468641493e+02 5.208333333333e+00 3.046496630208e+02 3.350000000000e+00 9.094019791667e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.365813854167e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.307736946145e+02 6.936137253544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.875912869589e+02 5.361669516112e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.683331201135e+02 7.349149610669e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.273504947917e+02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 1.477603320800e+03 1.624807680927e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.052598443303e+02 3.356709698499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.501890515356e+02 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.523989221139e+02 4.974685919734e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.637607916667e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.967004952171e+01 8.760707733968e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.865382754420e+02 2.051219149677e+00 0.000000000000e+00 0.000000000000e+00 2.728205937500e+01 3.000000000000e-01 2.728205937500e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.545983364583e+02 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.094019791667e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 80 JET 3.200000000000e+00 9.025000000000e+03 7.000000000000e+03 1.375770103093e+03 4.691376051546e+01 4.815195360825e+01 3.500000000000e+00 5.673278775640e+01 4.123711340206e+00 5.736961329897e+01 4.170000000000e+00 1.375770103093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.629014276389e+00 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.089641188703e+02 7.920227269466e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.040663962455e+01 5.117616632770e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.135385483082e+02 8.252726822087e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.253386214440e+01 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 1.788501134021e+02 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.931229109503e+01 3.584340943605e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830343076179e+01 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.542530264374e+01 6.936137253544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.100021920694e+01 1.526433752247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.266931072200e+00 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.589214778147e+01 5.516339365920e+00 0.000000000000e+00 0.000000000000e+00 2.751540206186e+00 2.000000000000e-01 9.630390721649e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.026694226804e+01 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375770103093e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375770103093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 81 JET 3.200000000000e+00 1.822500000000e+04 7.000000000000e+03 1.218239175258e+02 1.876088329897e+00 4.263837113402e+00 3.500000000000e+00 3.767750026570e+00 3.092783505155e+00 2.948138804124e+00 2.420000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.650076912315e+00 7.921331958705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.130055574260e+00 5.031898250164e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.640700041850e+00 7.092778017110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583710927835e+00 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.646877339865e+01 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.034928793525e+00 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.177311945855e+00 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.874502389315e+00 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.436478350515e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.529363986128e+00 7.822243923581e+00 0.000000000000e+00 0.000000000000e+00 2.436478350515e-01 2.000000000000e-01 2.436478350515e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.629308865979e+00 3.800000000000e+00 0.000000000000e+00 0.000000000000e+00 3.654717525773e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 82 JET 3.200000000000e+00 3.422500000000e+04 7.000000000000e+03 5.789958163265e+00 2.269653205102e-01 2.026485357143e-01 3.500000000000e+00 1.772436172428e-01 3.061224489796e+00 1.511179080612e-01 2.610000000000e+00 5.789958163265e-02 1.000000000000e+00 9.842928877551e-03 1.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.090802400180e-01 8.792468367870e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.170377889135e-01 7.202777242148e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.421374238028e-01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.924453539563e-01 3.323777970924e+00 0.000000000000e+00 0.000000000000e+00 1.169514221256e+00 2.019900987672e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.256412885307e-01 3.897114317030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.064478540661e-02 1.392838827718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.996033067192e-01 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.740919962495e-01 4.733920151418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.898364735695e-02 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.484807856148e-01 1.465435088975e+01 0.000000000000e+00 0.000000000000e+00 5.789958163265e-02 1.000000000000e+00 2.894979081633e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.531874479592e-01 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.315983265306e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.789958163265e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 83 JET 3.200000000000e+00 5.522500000000e+04 7.000000000000e+03 3.004125510204e-01 2.457364272449e-02 1.051443928571e-02 3.500000000000e+00 1.226173677634e-02 4.081632653061e+00 8.922252765306e-03 2.970000000000e+00 3.004125510204e-03 1.000000000000e+00 5.707838469388e-04 1.900000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.539285845206e-02 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.093155573554e-02 6.967603605258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.961356709217e-02 1.651514456491e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.315227282749e-02 4.378070351194e+00 0.000000000000e+00 0.000000000000e+00 7.510313775510e-02 2.500000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.038380664995e-02 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207572386983e-03 7.348469228350e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.205775714286e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.346681636580e-02 7.811529939775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.261509500481e-02 1.751427988814e+01 0.000000000000e+00 0.000000000000e+00 3.304538061224e-03 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.905363163265e-02 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 9.012376530612e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.004125510204e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 84 JET 3.200000000000e+00 8.122500000000e+04 7.000000000000e+03 9.435837373737e-03 3.708273797980e-03 3.302543080808e-04 3.500000000000e+00 3.812459544944e-04 4.040404040404e+00 6.388061902020e-04 6.770000000000e+00 9.435837373737e-05 1.000000000000e+00 1.981525848485e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.049988602831e-03 2.172556098240e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.581030797120e-03 1.675559608012e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.368937526823e-03 3.570364127088e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737321908395e-03 1.841195263952e+01 0.000000000000e+00 0.000000000000e+00 4.287599233625e-03 4.543952024395e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.132300484848e-03 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.507164314962e-04 2.657066051117e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.184507743573e-03 3.374907406137e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.270490709084e-03 2.406241883103e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.752209097657e-04 2.916761903207e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.341405748892e-03 3.541186241925e+01 0.000000000000e+00 0.000000000000e+00 6.605086161616e-05 7.000000000000e-01 9.435837373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.284068929293e-04 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 1.509733979798e-04 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.435837373737e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 85 JET 4.000000000000e+00 6.250000000000e+02 7.000000000000e+03 9.270170000000e+05 9.640976800000e+03 3.244559500000e+04 3.500000000000e+00 1.030018888889e+05 1.111111111111e+01 4.347709730000e+04 4.690000000000e+00 9.270170000000e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028111588056e+05 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.111663607676e+04 8.750285709621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.755725365164e+04 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.106198676693e+04 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.266292978378e+04 4.602173399602e+00 5.534221613906e+05 5.969924622640e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086818014689e+04 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364862276231e+04 4.708502946797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.685564303367e+04 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.854034000000e+04 2.000000000000e+00 + 86 JET 4.000000000000e+00 1.406250000000e+03 7.000000000000e+03 9.672052747253e+04 1.092930765934e+03 3.385218461538e+03 3.500000000000e+00 8.502903514068e+03 8.791208791209e+00 7.718298092308e+03 7.980000000000e+00 9.672052747253e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.029467428571e+03 5.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.168678580041e+04 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.318076063609e+03 7.566207768757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.035731606207e+03 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.337357160082e+03 2.416609194719e+00 6.695932149280e+04 6.922969016253e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.757383328120e+03 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.337558997599e+03 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.175000165125e+03 5.350467269314e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.434259788204e+03 3.550704155516e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.770436923077e+02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.255703208791e+03 4.400000000000e+00 4.836026373626e+02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.672052747253e+02 1.000000000000e+00 + 87 JET 4.000000000000e+00 2.756250000000e+03 7.000000000000e+03 9.884748351648e+03 1.927525928571e+02 3.459661923077e+02 3.500000000000e+00 7.603652578191e+02 7.692307692308e+00 5.308109864835e+02 5.370000000000e+00 9.884748351648e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.430824225908e+02 2.459166525472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.460871265176e+02 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.017621695916e+02 8.111103500757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.784737781636e+02 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.430824225908e+02 2.459166525472e+00 4.988616167710e+03 5.046781152378e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.008810847958e+02 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.529317628757e+02 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.858746300734e+02 5.927056605095e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.421258969736e+01 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.424177273018e+01 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.312128283444e+02 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.093368115473e+01 6.164414002969e-01 1.976949670330e+01 2.000000000000e-01 6.919323846154e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.884748351648e+01 1.000000000000e+00 3.953899340659e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.884748351648e+01 1.000000000000e+00 + 88 JET 4.000000000000e+00 4.900000000000e+03 7.000000000000e+03 1.018700000000e+03 2.831875271739e+01 3.565450000000e+01 3.500000000000e+00 6.643695652174e+01 6.521739130435e+00 5.500980000000e+01 5.400000000000e+00 1.018700000000e+01 1.000000000000e+00 2.037400000000e-01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.168300000000e+00 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.072057732436e+02 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.819112477527e+01 8.657222418305e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.533984255451e+01 2.487468592767e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.494995713491e+01 4.412482294582e+00 3.668734588288e+02 3.601388621074e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 1.890638135593e+02 1.000000000000e-01 1.890638135593e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 JET 1.500000000000e-01 4.900000000000e+03 7.000000000000e+03 4.957066964286e+04 4.758784285714e+02 1.734973437500e+03 3.500000000000e+00 1.770381058673e+03 3.571428571429e+00 1.387978750000e+02 2.800000000000e-01 4.957066964286e+02 1.000000000000e+00 7.435600446429e+01 1.500000000000e-01 5.452773660714e+02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.191827665075e+03 6.438944012802e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.825189733241e+02 9.733961166966e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.698473730471e+03 3.426368339802e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540053894094e+02 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.472799570622e+03 2.971110903349e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.566634326436e+02 1.526433752247e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.220365590601e+01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.982826785714e+02 4.000000000000e-01 6.444187053571e+02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.957066964286e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 JET 1.500000000000e-01 9.025000000000e+03 7.000000000000e+03 1.075294444444e+04 9.032473333333e+01 3.763530555556e+02 3.500000000000e+00 2.986929012346e+02 2.777777777778e+00 5.161413333333e+01 4.800000000000e-01 1.075294444444e+02 1.000000000000e+00 1.075294444444e+01 1.000000000000e-01 4.898199307067e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.724460223554e+02 6.253598963797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.500604122358e+02 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.419185447869e+02 4.109744517607e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.799898248950e+02 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.225883333333e+01 3.000000000000e-01 5.376472222222e+01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.075294444444e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 JET 1.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.872467619048e+03 1.142205247619e+01 6.553636666667e+01 3.500000000000e+00 3.566604988662e+01 1.904761904762e+00 6.928130190476e+00 3.700000000000e-01 1.872467619048e+01 1.000000000000e+00 1.310727333333e+00 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.120985103805e+01 4.337049688440e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.076667048612e+01 1.109053650641e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.665905648014e+01 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.007628344677e+01 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.262511232502e+01 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.744935238095e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.872467619048e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 JET 1.500000000000e-01 3.422500000000e+04 7.000000000000e+03 3.144256730769e+02 2.106652009615e+00 1.100489855769e+01 3.500000000000e+00 6.046647559172e+00 1.923076923077e+00 1.414915528846e+00 4.500000000000e-01 3.144256730769e+00 1.000000000000e+00 1.886554038462e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.809177563158e+01 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.358595457678e+01 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.351087275976e+00 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.183161506386e+00 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.335246088665e+00 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.450705584380e+00 7.794228634060e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.842746374262e+01 5.860674022670e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783226323866e+00 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.207574710888e+00 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.432770192308e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.449089653065e+01 4.608687448721e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.144256730769e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.515405384615e+00 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.144256730769e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 JET 1.500000000000e-01 5.522500000000e+04 7.000000000000e+03 7.694646601942e+01 6.925181941748e-01 2.693126310680e+00 3.500000000000e+00 7.470530681497e-01 9.708737864078e-01 2.000608116505e-01 2.600000000000e-01 7.694646601942e-01 1.000000000000e+00 3.847323300971e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.310421204424e+00 6.901449123191e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.770072776699e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.995639145638e-01 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.073809919750e+00 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.859495372837e+00 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.998255658255e-01 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.509581545363e+00 5.860674022670e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.150030767831e+00 2.794190401530e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.538929320388e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.586390218130e+00 5.960494945892e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.694646601942e-02 1.000000000000e-01 7.694646601942e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.694646601942e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 JET 1.500000000000e-01 8.122500000000e+04 7.000000000000e+03 2.536762745098e+01 2.105513078431e-01 8.878669607843e-01 3.500000000000e+00 2.487022299116e-01 9.803921568627e-01 6.088230588235e-02 2.400000000000e-01 2.536762745098e-01 1.000000000000e+00 1.268381372549e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.152483449956e+00 4.543126676640e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.985631327582e-01 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.052032382375e-01 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.124009574314e-01 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.445183539038e-01 2.146508793367e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.242754864798e-01 4.898979485566e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.500554668181e+00 5.915234568468e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.648873141020e-01 3.803616699932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.262023531146e-01 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.705678222346e+00 6.723838189606e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.073525490196e-02 2.000000000000e-01 7.610288235294e-02 3.000000000000e-01 1.775733921569e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.536762745098e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 JET 1.500000000000e-01 1.260250000000e+05 7.000000000000e+03 7.150874509804e+00 6.650313294118e-02 2.502806078431e-01 3.500000000000e+00 7.010661284121e-02 9.803921568627e-01 1.930736117647e-02 2.700000000000e-01 7.150874509804e-02 1.000000000000e+00 3.575437254902e-03 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.752693784084e-01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.901043546863e-01 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.965351740187e-02 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.861975677630e-01 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.358666156863e-01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.092274984468e-02 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.505050941176e-01 6.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.971487372525e-01 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.092274984468e-02 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.934103411765e-01 6.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430174901961e-02 2.000000000000e-01 1.430174901961e-02 2.000000000000e-01 2.860349803922e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.150874509804e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 JET 1.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.597960784314e+00 2.556737254902e-02 5.592862745098e-02 3.500000000000e+00 1.566628219915e-02 9.803921568627e-01 3.355717647059e-03 2.100000000000e-01 1.597960784314e-02 1.000000000000e+00 7.989803921569e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.721426561266e-02 2.954657340539e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.324180942225e-02 2.080264406271e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.756907416812e-02 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.677478545383e-02 1.675559608012e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.047852960738e-02 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.063184447520e-01 6.653382598348e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.426497378276e-02 5.273281710662e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.246614261698e-01 7.801281945937e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.793882352941e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.278368627451e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.597960784314e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 JET 1.500000000000e-01 3.025000000000e+05 7.000000000000e+03 4.135316831683e-01 1.232324415842e-02 1.447360891089e-02 3.500000000000e+00 4.094373100676e-03 9.900990099010e-01 1.323301386139e-03 3.200000000000e-01 4.135316831683e-03 1.000000000000e+00 2.067658415842e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.181825511549e-02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.116474546130e-03 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.527161033266e-03 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.223068453717e-02 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.469491391743e-03 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.067658415842e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.915545005090e-02 7.050354601011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.446136907434e-02 5.915234568468e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.894721782178e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.806289024339e-02 9.204346799203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.240595049505e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.654126732673e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.135316831683e-04 1.000000000000e-01 4.135316831683e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 JET 1.500000000000e-01 4.900000000000e+05 7.000000000000e+03 7.675551485149e-02 4.037340081188e-03 2.686443019802e-03 3.500000000000e+00 7.599555925890e-04 9.900990099010e-01 1.074577207921e-04 1.400000000000e-01 7.675551485149e-04 1.000000000000e+00 1.611865811881e-04 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.499862428319e-03 3.256915718897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.684264712871e-03 4.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.907996336634e-04 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.495144589854e-03 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071145141639e-03 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.740720079039e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.034955742144e-03 7.862569554541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.840468348423e-03 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.675551485149e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.845130821011e-03 1.022093439955e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.535110297030e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.605330891089e-04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.675551485149e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 JET 1.500000000000e-01 8.100000000000e+05 7.000000000000e+03 1.190164356436e-02 1.701935029703e-03 4.165575247525e-04 3.500000000000e+00 1.178380550926e-04 9.900990099010e-01 2.023279405941e-05 1.700000000000e-01 1.190164356436e-04 1.000000000000e+00 2.499345148515e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.536110296183e-04 2.971110903349e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.054171509960e-04 5.927056605095e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.155577915604e-05 5.172040216394e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.625789575207e-04 2.206241147291e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.403183081963e-04 1.178982612255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.582365654206e-05 4.690415759823e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.765151676733e-04 8.204876598706e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.886272723232e-04 7.466424847275e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.618361584158e-04 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.438081063495e-03 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.950821782178e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.331150495050e-05 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.190164356436e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 JET 1.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.553265346535e-03 5.281102178218e-04 5.436428712871e-05 3.500000000000e+00 1.537886481717e-05 9.900990099010e-01 1.553265346535e-06 1.000000000000e-01 1.553265346535e-05 1.000000000000e+00 3.261857227723e-06 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.651825600451e-05 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.009622475248e-04 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.380668995668e-06 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.583448909823e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.465347597229e-05 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.589946757100e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.283748202799e-04 8.264835146571e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.335988798061e-04 8.601162712099e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.769432642309e-05 5.001999600160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.430004083728e-04 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.087285742574e-05 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.019244950495e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553265346535e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 JET 1.500000000000e-01 1.822500000000e+06 7.000000000000e+03 4.024369306931e-04 2.370353521782e-04 1.408529257426e-05 3.500000000000e+00 3.984524066268e-06 9.900990099010e-01 5.231680099010e-07 1.300000000000e-01 4.024369306931e-06 1.000000000000e+00 8.451175544554e-07 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.227842485829e-06 2.044504830026e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.938340825811e-05 7.301369734509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.909151805321e-06 1.716828471339e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.921926034674e-05 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.636765078468e-06 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.669464601782e-06 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.824844937532e-05 9.504209593648e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.984532095076e-05 9.901010049485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622379500784e-05 9.001111042532e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.667453318827e-05 1.905255888326e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.414621584158e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.853612475248e-06 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.024369306931e-07 1.000000000000e-01 4.024369306931e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 JET 5.500000000000e-01 6.250000000000e+02 7.000000000000e+03 6.335040625000e+06 3.040819500000e+04 2.217264218750e+05 3.500000000000e+00 1.187820117187e+06 1.875000000000e+01 4.497878843750e+04 7.100000000000e-01 6.335040625000e+04 1.000000000000e+00 1.900512187500e+04 3.000000000000e-01 7.299055553894e+05 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.986780981947e+05 9.450264546562e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.564028365146e+05 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.164806750853e+05 8.152760268768e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.946134464519e+05 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362770167916e+05 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.756106730622e+05 4.350574674684e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.946134464519e+05 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.869373775133e+05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.701536562500e+04 9.000000000000e-01 1.710460968750e+05 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.267008125000e+05 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 JET 5.500000000000e-01 1.406250000000e+03 7.000000000000e+03 9.795192307692e+05 1.008904807692e+04 3.428317307692e+04 3.500000000000e+00 1.054866863905e+05 1.076923076923e+01 4.603740384615e+03 4.700000000000e-01 9.795192307692e+03 1.000000000000e+00 1.959038461538e+03 2.000000000000e-01 7.964280464616e+04 8.130805618141e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.366964740747e+04 9.562818622143e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.464786720651e+04 9.662685961988e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.367261005922e+04 7.521303078590e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.715848446894e+04 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.498734166899e+04 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.287961701790e+04 3.356709698499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.657353862906e+04 4.754734482597e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.287961701790e+04 3.356709698499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.624348881700e+03 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.856634615385e+03 7.000000000000e-01 2.742653846154e+04 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.795192307692e+02 1.000000000000e-01 9.795192307692e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 JET 5.500000000000e-01 2.756250000000e+03 7.000000000000e+03 1.959038461538e+05 3.996438461538e+03 6.856634615385e+03 3.500000000000e+00 1.172074293228e+04 5.982905982906e+00 6.073019230769e+02 3.100000000000e-01 1.959038461538e+03 1.000000000000e+00 3.722173076923e+02 1.900000000000e-01 3.813840861842e+03 1.946792233393e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.594511696834e+04 8.139256722822e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.311824581068e+04 6.696267617113e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.526379993084e+03 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.242785660659e+03 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.053238645257e+03 3.089902911096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.689811368310e+03 1.883480820184e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.496447149258e+03 4.337049688440e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.540997523036e+02 2.828427124746e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.786308298732e+02 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.237451864346e+03 2.673480877059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.523829974379e+02 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.795192307692e+02 5.000000000000e-01 3.134461538462e+03 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.959038461538e+02 1.000000000000e-01 1.959038461538e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 JET 5.500000000000e-01 4.900000000000e+03 7.000000000000e+03 4.838825000000e+04 3.919448250000e+02 1.693588750000e+03 3.500000000000e+00 2.160189732143e+03 4.464285714286e+00 1.451647500000e+02 3.000000000000e-01 4.838825000000e+02 1.000000000000e+00 7.742120000000e+01 1.600000000000e-01 5.092274229069e+02 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.895522313732e+03 5.983936831217e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.822606240971e+03 3.766629793330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.282745036698e+03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.669745227676e+03 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.427863386031e+03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.808830311708e+02 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.160062536427e+03 4.464022849404e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.604856695119e+02 3.316624790355e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.127208550510e+02 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.772303818175e+02 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.451647500000e+02 3.000000000000e-01 5.806590000000e+02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.838825000000e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 21 JET 5.500000000000e-01 9.025000000000e+03 7.000000000000e+03 1.065862037037e+04 5.009551574074e+01 3.730517129630e+02 3.500000000000e+00 2.960727880658e+02 2.777777777778e+00 4.689792962963e+01 4.400000000000e-01 1.065862037037e+02 1.000000000000e+00 1.172448240741e+01 1.100000000000e-01 5.329310185185e+01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.985932822725e+02 5.616048432840e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.123903258161e+02 2.930870177951e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.913139587887e+02 2.733130073743e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.532964563230e+02 2.376446927663e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.083179819214e+02 2.892663132824e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.314082973269e+02 1.232882800594e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.242264484505e+02 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.282360937564e+02 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.197586111111e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.075441658863e+02 3.823610858861e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.197586111111e+01 3.000000000000e-01 4.263448148148e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.065862037037e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 22 JET 5.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.823958095238e+03 8.390207238095e+00 6.383853333333e+01 3.500000000000e+00 3.474205895692e+01 1.904761904762e+00 6.748644952381e+00 3.700000000000e-01 1.823958095238e+01 1.000000000000e+00 1.459166476190e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.670418722776e+01 5.301886456725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.652880993449e+01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.020989980997e+01 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.512833096902e+00 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.385092668326e+01 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.276770666667e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.219111345191e+01 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.748069961324e+01 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823958095238e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.211891286251e+01 5.050495025243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823958095238e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.459166476190e+01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823958095238e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 23 JET 5.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.967943269231e+02 1.454292201923e+00 1.038780144231e+01 3.500000000000e+00 5.707583210059e+00 1.923076923077e+00 1.246536173077e+00 4.200000000000e-01 2.967943269231e+00 1.000000000000e+00 2.077560288462e-01 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.081570000840e+01 3.644173431658e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.728059235717e+00 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.358606331156e+00 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.141849637318e+00 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.053159663642e+00 2.376446927663e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.460888555775e+00 8.291561975888e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.712878718878e+01 5.771265025971e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.418374053015e+00 2.499499949990e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.139860241118e+00 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.945531524046e+01 6.555150646629e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.935886538462e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.483971634615e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.967943269231e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 24 JET 5.500000000000e-01 5.522500000000e+04 7.000000000000e+03 7.388047572816e+01 4.580589495146e-01 2.585816650485e+00 3.500000000000e+00 7.172861721180e-01 9.708737864078e-01 2.438055699029e-01 3.300000000000e-01 7.388047572816e-01 1.000000000000e+00 5.171633300971e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.355791084209e+00 3.188651752701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.238468688395e+00 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.031023149168e+00 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.655318397257e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.293963330172e+00 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.228003473539e-01 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.655642529142e+00 6.301587101675e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.341847931894e+00 3.169779172119e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.801734551460e+00 7.852865718959e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.477609514563e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.910438058252e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.388047572816e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 25 JET 5.500000000000e-01 8.122500000000e+04 7.000000000000e+03 2.386953921569e+01 1.408302813725e-01 8.354338725490e-01 3.500000000000e+00 2.340150903499e-01 9.803921568627e-01 6.444775588235e-02 2.700000000000e-01 2.386953921569e-01 1.000000000000e+00 1.670867745098e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.007834585733e+00 4.222262426709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.480041381396e-01 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.465196180223e-01 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.691990385993e-01 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.585188752649e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583326109942e-01 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.623479651354e+00 6.801470429253e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.714016560304e-01 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.201488201224e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.017611543063e+00 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.386953921569e-02 1.000000000000e-01 2.386953921569e-02 1.000000000000e-01 1.670867745098e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.386953921569e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 26 JET 5.500000000000e-01 1.260250000000e+05 7.000000000000e+03 6.781346078431e+00 4.746942254902e-02 2.373471127451e-01 3.500000000000e+00 6.648378508266e-02 9.803921568627e-01 1.898776901961e-02 2.800000000000e-01 6.781346078431e-02 1.000000000000e+00 4.746942254902e-03 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.632306818590e-01 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.005662637194e-01 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.140770049519e-02 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.070255107958e-01 3.052867504495e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.057107235640e-01 1.558845726812e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.034403823529e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.700578462910e-01 6.931630399841e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.834205161672e-01 4.179413834499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.604425379758e-02 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.236165821949e-01 9.196058938480e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.356269215686e-02 2.000000000000e-01 1.356269215686e-02 2.000000000000e-01 2.712538431373e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.781346078431e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 27 JET 5.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.438164705882e+00 2.114102117647e-02 5.033576470588e-02 3.500000000000e+00 1.409965397924e-02 9.803921568627e-01 3.307778823529e-03 2.300000000000e-01 1.438164705882e-02 1.000000000000e+00 1.006715294118e-03 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.643636065543e-02 4.619523784980e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.531360080336e-02 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.081165094655e-02 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.730286075047e-02 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.736461510361e-03 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.494065846195e-02 6.601514977640e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.340985451885e-02 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.383032981750e-01 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.438164705882e-03 1.000000000000e-01 2.876329411765e-03 2.000000000000e-01 1.150531764706e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.438164705882e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 28 JET 5.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.711699009901e-01 1.009582130693e-02 1.299094653465e-02 3.500000000000e+00 3.674949514753e-03 9.900990099010e-01 7.794567920792e-04 2.100000000000e-01 3.711699009901e-03 1.000000000000e+00 9.279247524752e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.213419066975e-02 3.269174207656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.806763005272e-03 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.165842098151e-03 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.355445864492e-03 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.340466598891e-03 1.169401556353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.325341641375e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.524501105813e-02 6.801470429253e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.911705161172e-02 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.928655380265e-03 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.906111341944e-02 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.113509702970e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.855849504950e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.711699009901e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 29 JET 5.500000000000e-01 4.900000000000e+05 7.000000000000e+03 7.564603960396e-02 3.373813366337e-03 2.647611386139e-03 3.500000000000e+00 7.489706891481e-04 9.900990099010e-01 1.361628712871e-04 1.800000000000e-01 7.564603960396e-04 1.000000000000e+00 1.891150990099e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.818654137511e-03 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.452123841340e-04 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.025841584158e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.354767777345e-03 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.667911840082e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.445841096686e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.523197040998e-03 7.301369734509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.625555842029e-03 6.114736298484e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.591738512673e-04 1.135781669160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.470872074376e-03 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.269381188119e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.025841584158e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.564603960396e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 30 JET 5.500000000000e-01 8.100000000000e+05 7.000000000000e+03 9.168300000000e-03 1.091027700000e-03 3.208905000000e-04 3.500000000000e+00 9.077524752475e-05 9.900990099010e-01 1.283562000000e-05 1.400000000000e-01 9.168300000000e-05 1.000000000000e+00 2.292075000000e-05 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.600623341168e-04 5.017967716118e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404725984594e-04 1.532155344604e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.783922491986e-05 7.399324293474e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.997276988805e-04 3.269174207656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.737297042628e-05 7.348469228350e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.521152428009e-05 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.845729535037e-04 8.557452892070e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.380208046851e-04 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.797082899046e-04 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.381343677367e-03 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.667320000000e-05 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.251470000000e-05 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.168300000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 31 JET 5.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.623868316832e-03 4.676740752475e-04 5.683539108911e-05 3.500000000000e+00 1.607790412705e-05 9.900990099010e-01 1.948641980198e-06 1.200000000000e-01 1.623868316832e-05 1.000000000000e+00 4.059670792079e-06 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.165870017061e-05 5.644466316668e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.006350001901e-05 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.077152383175e-05 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.886382658202e-05 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.223302156525e-05 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.077152383175e-05 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.646505582810e-04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.342100393835e-04 8.264835146571e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.040290145388e-04 6.406246951219e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.931970581697e-04 1.805547008527e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.743209900990e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.273415643564e-05 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.623868316832e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 32 JET 5.500000000000e-01 1.822500000000e+06 7.000000000000e+03 2.370242574257e-04 1.391332391089e-04 8.295849009901e-06 3.500000000000e+00 2.346774825997e-06 9.900990099010e-01 3.081315346535e-07 1.300000000000e-01 2.370242574257e-06 1.000000000000e+00 5.925606435644e-07 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.619545315442e-05 6.832825184358e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.419257850246e-06 2.286372673035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.997560696903e-06 3.796050579220e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.108543993675e-06 1.311487704860e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.483755241750e-05 1.047890738579e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.223832017315e-05 9.382297160078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.730926800601e-05 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.225296386196e-05 2.204540768505e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.110727722772e-07 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.266436633663e-06 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.370242574257e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 33 JET 1.000000000000e+00 6.250000000000e+02 7.000000000000e+03 5.506137974684e+06 3.028375886076e+04 1.927148291139e+05 3.500000000000e+00 1.010620261176e+06 1.835443037975e+01 5.340953835443e+04 9.700000000000e-01 5.506137974684e+04 1.000000000000e+00 1.376534493671e+04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 5.794539895570e+05 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.550732265504e+05 8.264835146571e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.607365569620e+05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.517718261773e+05 8.204876598706e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.203831294469e+05 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.312577949367e+05 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 9.911048354430e+04 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.065168783748e+05 3.750666607418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.175272961830e+05 3.950632860695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 3.499803026429e+03 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.504798596841e+04 8.684900690278e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.238943259368e+04 7.150524456290e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.568152518812e+03 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.882420484970e+03 1.663580475961e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.002112673101e+02 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.684596712559e+03 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.244134572595e+02 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.732660683761e+02 1.000000000000e-01 5.197982051282e+02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.584110598291e+03 3.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.930642735043e+02 4.000000000000e-01 1.732660683761e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 36 JET 1.000000000000e+00 4.900000000000e+03 7.000000000000e+03 4.441899099099e+04 4.042128180180e+02 1.554664684685e+03 3.500000000000e+00 1.600684360036e+03 3.603603603604e+00 2.265368540541e+02 5.100000000000e-01 4.441899099099e+02 1.000000000000e+00 7.995418378378e+01 1.800000000000e-01 0.000000000000e+00 0.000000000000e+00 4.886089009009e+02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.873448700023e+03 6.468964368429e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.995418378378e+02 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.883798198198e+01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.662848648649e+02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.883798198198e+01 2.000000000000e-01 4.441899099099e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 37 JET 1.000000000000e+00 9.025000000000e+03 7.000000000000e+03 9.806177570093e+03 5.981768317757e+01 3.432162149533e+02 3.500000000000e+00 2.749395580400e+02 2.803738317757e+00 6.962386074766e+01 7.100000000000e-01 9.806177570093e+01 1.000000000000e+00 1.176741308411e+01 1.200000000000e-01 0.000000000000e+00 0.000000000000e+00 4.903088785047e+01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.442870253188e+02 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.759702989104e+02 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086451899548e+02 1.107925990308e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 2.941853271028e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.274803084112e+02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.961235514019e+01 2.000000000000e-01 9.806177570093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 38 JET 1.000000000000e+00 1.822500000000e+04 7.000000000000e+03 1.610516190476e+03 8.857839047619e+00 5.636806666667e+01 3.500000000000e+00 3.067649886621e+01 1.904761904762e+00 9.824148761905e+00 6.100000000000e-01 1.610516190476e+01 1.000000000000e+00 1.288412952381e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 39 JET 1.000000000000e+00 3.422500000000e+04 7.000000000000e+03 2.546750000000e+02 1.629920000000e+00 8.913625000000e+00 3.500000000000e+00 4.897596153846e+00 1.923076923077e+00 1.731790000000e+00 6.800000000000e-01 2.546750000000e+00 1.000000000000e+00 1.528050000000e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.942683349288e+00 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.377053863413e+00 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.370865704355e+00 2.108909670896e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.554062395058e+00 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.149600000000e+00 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 5.800499179421e+00 2.277608394786e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.160989033984e+00 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.490827947444e+01 5.853844890326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.206968442102e+00 2.437211521391e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.780978966692e-01 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.687017642120e+01 6.624198064672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.093500000000e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e+00 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.546750000000e-01 1.000000000000e-01 2.546750000000e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 40 JET 1.000000000000e+00 5.522500000000e+04 7.000000000000e+03 6.102309708738e+01 5.858217320388e-01 2.135808398058e+00 3.500000000000e+00 5.924572532755e-01 9.708737864078e-01 3.173201048544e-01 5.200000000000e-01 6.102309708738e-01 1.000000000000e+00 3.661385825243e-02 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.945814054829e+00 3.188651752701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.899573638587e+00 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.149358329523e+00 1.883480820184e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.414104122425e+00 2.317326045251e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.044729097962e+00 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 1.159438844660e+00 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.492206349630e-01 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.880968227771e+00 6.359834903518e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.926581420134e+00 3.157134776977e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.790507458491e+00 7.850318464878e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.220461941748e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.153464563107e-01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.102309708738e-02 1.000000000000e-01 6.102309708738e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 41 JET 1.000000000000e+00 8.122500000000e+04 7.000000000000e+03 1.947514705882e+01 1.577486911765e-01 6.816301470588e-01 3.500000000000e+00 1.909328143022e-01 9.803921568627e-01 9.348070588235e-02 4.800000000000e-01 1.947514705882e-01 1.000000000000e+00 1.168508823529e-02 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.369216442320e-01 4.297382924525e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.968071461247e-01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.216348690994e-01 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.357435616548e-01 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.446538377203e-01 3.823610858861e+00 0.000000000000e+00 0.000000000000e+00 3.505526470588e-01 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.118762023300e-01 5.744562646538e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.326885089393e+00 6.813222438758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.400555882353e-01 3.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.059791628614e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.680514490911e+00 8.629020801922e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.895029411765e-02 2.000000000000e-01 1.947514705882e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.310775000000e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.947514705882e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 42 JET 1.000000000000e+00 1.260250000000e+05 7.000000000000e+03 5.233321568627e+00 5.861320156863e-02 1.831662549020e-01 3.500000000000e+00 5.130707420223e-02 9.803921568627e-01 2.459661137255e-02 4.700000000000e-01 5.233321568627e-02 1.000000000000e+00 3.139992941176e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.105070668852e-01 4.022437072224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.624016977096e-01 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.233321568627e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.617045554960e-01 3.089902911096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.937742875418e-01 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 8.319993816360e-02 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.569996470588e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.577847087152e-01 6.836665854055e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.284001645726e-01 4.364344166080e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.009895285705e-02 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.782981070561e-01 9.139474820798e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.233321568627e-03 1.000000000000e-01 5.233321568627e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.326650196078e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.233321568627e-03 1.000000000000e-01 5.233321568627e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 43 JET 1.000000000000e+00 2.025000000000e+05 7.000000000000e+03 1.098598039216e+00 2.153252156863e-02 3.845093137255e-02 3.500000000000e+00 1.077056901192e-02 9.803921568627e-01 3.845093137255e-03 3.500000000000e-01 1.098598039216e-02 1.000000000000e+00 6.591588235294e-04 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.172752104993e-02 4.708502946797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.405653921569e-02 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.109093728746e-03 8.291561975888e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.177192935254e-02 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.010635236960e-02 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 1.321746307328e-02 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.854241431526e-03 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.309393076697e-02 6.653382598348e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.904166749369e-02 4.464022849404e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 44 JET 1.000000000000e+00 3.025000000000e+05 7.000000000000e+03 2.541706930693e-01 8.463884079208e-03 8.895974257426e-03 3.500000000000e+00 2.516541515538e-03 9.900990099010e-01 9.404315643564e-04 3.700000000000e-01 2.541706930693e-03 1.000000000000e+00 7.116779405941e-04 2.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.456668051034e-03 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.812560396040e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.315605216973e-03 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.229775018820e-03 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.042719585821e-02 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 2.818889350345e-03 1.109053650641e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016682772277e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830028990099e-02 7.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.397938811881e-02 5.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.320709662573e-03 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.795877623762e-02 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.625120792079e-04 3.000000000000e-01 7.625120792079e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.083413861386e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.083413861386e-04 2.000000000000e-01 2.541706930693e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 45 JET 1.000000000000e+00 4.900000000000e+05 7.000000000000e+03 4.760657425743e-02 3.108709299010e-03 1.666230099010e-03 3.500000000000e+00 4.713522203706e-04 9.900990099010e-01 1.237770930693e-04 2.600000000000e-01 4.760657425743e-04 1.000000000000e+00 2.427935287129e-04 5.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.225580378240e-03 2.574393132371e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.060536604150e-04 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523410376238e-03 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.095770955634e-03 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 4.736794330982e-04 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.699894713938e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.813877919730e-03 8.011242100948e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.160015242146e-03 6.637770710110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.407067437309e-04 1.135781669160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.435697518641e-03 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.428197227723e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.094951207921e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.760657425743e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 46 JET 1.000000000000e+00 8.100000000000e+05 7.000000000000e+03 2.995583168317e-03 6.590282970297e-04 1.048454108911e-04 3.500000000000e+00 2.965923929027e-05 9.900990099010e-01 7.488957920792e-06 2.500000000000e-01 2.995583168317e-05 1.000000000000e+00 2.606157356436e-05 8.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.775499100388e-04 5.927056605095e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.160321327501e-05 1.722643317695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.305744430766e-05 4.358898943541e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.180503039341e-04 3.940812099048e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.663762640804e-04 5.554052574472e+00 0.000000000000e+00 0.000000000000e+00 2.201295073334e-05 7.348469228350e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405053050254e-05 4.690415759823e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.827297348371e-04 9.438220171198e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.386099989921e-04 7.965393901120e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.155048858581e-04 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.983393672931e-04 1.663580475961e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.497791584158e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.290724653465e-05 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.995583168317e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 47 JET 1.000000000000e+00 1.210000000000e+06 7.000000000000e+03 4.579106930693e-04 2.861941831683e-04 1.602687425743e-05 3.500000000000e+00 4.533769238310e-06 9.900990099010e-01 1.282149940594e-06 2.800000000000e-01 4.579106930693e-06 1.000000000000e+00 5.678092594059e-06 1.240000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.232327328934e-05 7.058859681280e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.058160178374e-05 2.310844001658e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.539237629080e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.037959821120e-05 4.450561762295e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.162237222732e-05 6.905794668248e+00 0.000000000000e+00 0.000000000000e+00 4.905204661828e-06 1.071214264281e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.993979654384e-06 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.494928316832e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.579106930693e-05 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.848629731179e-05 8.404760555780e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.009482791206e-04 2.204540768505e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.747464158416e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.373732079208e-05 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.579106930693e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 48 JET 1.000000000000e+00 1.822500000000e+06 7.000000000000e+03 1.018700000000e-04 1.161318000000e-04 3.565450000000e-06 3.500000000000e+00 2.017227722772e-06 1.980198019802e+00 1.731790000000e-07 1.700000000000e-01 1.018700000000e-06 1.000000000000e+00 1.721603000000e-06 1.690000000000e+00 0.000000000000e+00 0.000000000000e+00 1.689322836968e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.002100010613e-05 9.837047321224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.974795872236e-06 2.920188350090e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.144115464871e-06 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.222265969213e-06 5.126402247191e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.266671056710e-06 9.096565285865e+00 0.000000000000e+00 0.000000000000e+00 1.230899893330e-06 1.208304597359e+00 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0.000000000000e+00 + 54 JET 1.650000000000e+00 1.822500000000e+04 7.000000000000e+03 1.224399038462e+03 9.917632211538e+00 4.285396634615e+01 3.500000000000e+00 2.354613535503e+01 1.923076923077e+00 6.489314903846e+00 5.300000000000e-01 1.224399038462e+01 1.000000000000e+00 6.121995192308e-01 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.858820693749e+01 5.601785429664e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.499190216534e+01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.346838942308e+01 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.577403057136e+00 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.821692328632e+01 4.754734482597e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.183437500000e+01 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.795192307692e+00 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.614021824665e+01 5.401851534428e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.081478365385e+01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.224399038462e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.555682175174e+01 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.448798076923e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.224399038462e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.224399038462e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 55 JET 1.650000000000e+00 3.422500000000e+04 7.000000000000e+03 1.839594174757e+02 1.361299689320e+00 6.438579611650e+00 3.500000000000e+00 3.572027523801e+00 1.941747572816e+00 9.014011456311e-01 4.900000000000e-01 1.839594174757e+00 1.000000000000e+00 9.197970873786e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.885588954947e+00 3.742993454443e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.890518816929e+00 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.935948914884e+00 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.745559639887e+00 1.492481155660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.805226776410e+00 5.330103188495e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.664740749469e+00 2.535744466621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.665823375030e+00 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.141734606443e+01 6.206448259673e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.894841737261e+00 2.660826939130e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.065095486620e-01 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.283866731574e+01 6.979075870056e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.518782524272e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839594174757e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839594174757e-01 1.000000000000e-01 1.839594174757e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 56 JET 1.650000000000e+00 5.522500000000e+04 7.000000000000e+03 4.074800000000e+01 2.893108000000e-01 1.426180000000e+00 3.500000000000e+00 7.912233009709e-01 1.941747572816e+00 2.322636000000e-01 5.700000000000e-01 4.074800000000e-01 1.000000000000e+00 2.037400000000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.339580816505e+00 3.287476235656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.309019590429e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.375996278112e-01 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.683545940842e-01 2.376446927663e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.284796717561e+00 5.607138307550e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.742120000000e-01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.331910885004e-01 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.669149522186e+00 6.550381668269e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.367792067945e+00 3.356709698499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.281352721602e+00 8.052794545995e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.222440000000e-01 3.000000000000e-01 8.149600000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.482280000000e-01 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e-02 1.000000000000e-01 4.074800000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 57 JET 1.650000000000e+00 8.122500000000e+04 7.000000000000e+03 1.138547058824e+01 1.457340235294e-01 3.984914705882e-01 3.500000000000e+00 1.116222606690e-01 9.803921568627e-01 4.781897647059e-02 4.200000000000e-01 1.138547058824e-01 1.000000000000e+00 6.831282352941e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.186328678071e-01 4.555216789572e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.078291011534e-01 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.972021352690e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.301786470588e-01 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.786303989777e-01 5.960494945892e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.282779754756e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.664200100421e-02 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.426786671943e-01 7.401351227985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.443251921793e-01 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.972021352690e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.053925037203e+00 9.256754290787e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.415641176471e-02 3.000000000000e-01 1.138547058824e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.108376470588e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.138547058824e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 58 JET 1.650000000000e+00 1.260250000000e+05 7.000000000000e+03 2.846367647059e+00 2.590194558824e-02 9.962286764706e-02 3.500000000000e+00 2.790556516724e-02 9.803921568627e-01 1.138547058824e-02 4.000000000000e-01 2.846367647059e-02 1.000000000000e+00 1.707820588235e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.246159780418e-01 4.378070351194e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.588288437270e-02 3.368605052540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.788859342264e-02 9.797958971133e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.788980711583e-02 3.439113257804e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.809403473219e-01 6.356886030125e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.099686871852e-02 1.791647286717e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016356541640e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.120114032871e-01 7.448489779814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.343232227056e-01 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.335064767002e-02 4.690415759823e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.945268521396e-01 1.034746345729e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.692735294118e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.838825000000e-02 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.846367647059e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 59 JET 1.650000000000e+00 2.025000000000e+05 7.000000000000e+03 4.594137254902e-01 8.591036666667e-03 1.607948039216e-02 3.500000000000e+00 4.504056132257e-03 9.803921568627e-01 2.159244509804e-03 4.700000000000e-01 4.594137254902e-03 1.000000000000e+00 3.215896078431e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.530114474791e-02 5.507267925206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.723107719186e-02 3.750666607418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.991588430417e-03 2.174856317093e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.222420416990e-02 2.660826939130e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.284968767497e-02 7.150349641801e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.038931948944e-03 1.532155344604e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.640435119839e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631693831855e-02 7.905061669589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.549953111193e-02 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.293235676092e-02 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.378241176471e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.972378431373e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.594137254902e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 60 JET 1.650000000000e+00 3.025000000000e+05 7.000000000000e+03 8.613562376238e-02 3.600469073267e-03 3.014746831683e-03 3.500000000000e+00 8.528279580433e-04 9.900990099010e-01 3.789967445545e-04 4.400000000000e-01 8.613562376238e-04 1.000000000000e+00 4.995866178218e-04 5.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.379108314771e-03 3.923009049187e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.594672609704e-03 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.790295320377e-03 2.078460969083e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.586938306996e-03 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.244615334642e-03 8.410707461326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.250450759629e-03 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.923664395426e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.623246020058e-03 8.850282481367e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.644841438268e-03 6.553434214212e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.346818347339e-04 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.164424932398e-02 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.168137425743e-04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.636576851485e-03 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.722712475248e-04 2.000000000000e-01 8.613562376238e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 61 JET 1.650000000000e+00 4.900000000000e+05 7.000000000000e+03 1.159905940594e-02 9.522827772277e-04 4.059670792079e-04 3.500000000000e+00 1.148421723360e-04 9.900990099010e-01 4.059670792079e-05 3.500000000000e-01 1.159905940594e-04 1.000000000000e+00 7.191416831683e-05 6.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.350420479132e-04 3.750666607418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.452200384738e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.476509618575e-05 8.170067319184e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.308708418015e-04 4.576843890718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210310577525e-03 1.043455796860e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.452200384738e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.837544679059e-05 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.336410987528e-03 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.099817772982e-03 9.481956549152e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.113449205967e-04 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.159886886015e-03 1.862122444954e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.959435643564e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.131746039604e-04 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.319811881188e-05 2.000000000000e-01 1.159905940594e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 62 JET 1.650000000000e+00 8.100000000000e+05 7.000000000000e+03 6.909004950495e-04 2.425060737624e-04 2.418151732673e-05 3.500000000000e+00 6.840598960886e-06 9.900990099010e-01 2.832692029703e-06 4.100000000000e-01 6.909004950495e-06 1.000000000000e+00 4.698123366337e-06 6.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.678323666805e-05 8.218728612139e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.728632486335e-05 2.501999200639e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.968921176336e-06 5.744562646538e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.640199911419e-05 5.268775948928e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.348182444862e-05 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.461768379538e-06 1.224744871392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.017954694061e-06 7.262919523167e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.441604604920e-05 1.366565036872e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.662457162643e-05 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.842270281036e-05 5.561249859519e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.683870646669e-04 2.437211521391e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.599905445545e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.556331831683e-05 3.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.072701485149e-06 3.000000000000e-01 6.909004950495e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 63 JET 1.650000000000e+00 1.210000000000e+06 7.000000000000e+03 6.808143564356e-05 7.080469306931e-05 2.382850247525e-06 3.500000000000e+00 6.740736202333e-07 9.900990099010e-01 1.429710148515e-07 2.100000000000e-01 6.808143564356e-07 1.000000000000e+00 5.242270544554e-07 7.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.808143564356e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.642302736136e-06 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.855453331626e-06 2.725344014982e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.633954455446e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.222146954778e-06 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.021221534653e-05 1.500000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.359058519372e-07 1.227802915781e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.387008658276e-07 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.093549781609e-05 1.606237840421e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.531400990099e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.850586633663e-06 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299449858944e-05 3.377499074759e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.293547277228e-06 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.106107673267e-06 7.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.404071782178e-07 5.000000000000e-01 6.808143564356e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 64 JET 2.450000000000e+00 6.250000000000e+02 7.000000000000e+03 4.117245833333e+06 2.223312750000e+04 1.441036041667e+05 3.500000000000e+00 5.432477141204e+05 1.319444444444e+01 5.846489083333e+04 1.420000000000e+00 4.117245833333e+04 1.000000000000e+00 8.234491666667e+02 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.974887068876e+05 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.956414035081e+05 9.609370426828e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.793478423120e+05 1.407124727947e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286739982036e+05 5.554052574472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.997076447057e+05 4.850515436528e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.665800003855e+05 2.104756517985e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.856864742904e+04 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.832405687180e+05 4.450561762295e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.935981353226e+05 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.214936389868e+05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.646898333333e+04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.999317916667e+05 1.700000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.058622916667e+04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.234491666667e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 65 JET 2.450000000000e+00 1.406250000000e+03 7.000000000000e+03 5.800696694215e+05 5.916710628099e+03 2.030243842975e+04 3.500000000000e+00 3.835171368076e+04 6.611570247934e+00 5.742689727273e+03 9.900000000000e-01 5.800696694215e+03 1.000000000000e+00 1.160139338843e+02 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.915470128222e+04 8.473930610997e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.743275626344e+04 9.901010049485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.078496343175e+04 1.047890738579e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.191437679676e+04 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.715624080341e+04 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.206698286455e+05 2.080264406271e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.537731762131e+04 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.030243842975e+04 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.843524949394e+04 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.030243842975e+04 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.619367228683e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900348347107e+03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.466536454545e+04 7.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.160139338843e+03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.800696694215e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 66 JET 2.450000000000e+00 2.756250000000e+03 7.000000000000e+03 1.082368750000e+05 2.511095500000e+03 3.788290625000e+03 3.500000000000e+00 5.798404017857e+03 5.357142857143e+00 6.385975625000e+02 5.900000000000e-01 1.082368750000e+03 1.000000000000e+00 2.164737500000e+01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.599375651009e+03 2.401561991705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.477373066867e+03 8.756140702387e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.866371330021e+03 7.267736924243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.138556905792e+03 3.823610858861e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.001650723663e+03 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.372305284328e+04 1.267872233311e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.601215040582e+03 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.145029857802e+03 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.107817284462e+03 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.061401131478e+02 2.828427124746e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.749435335050e+02 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.130928179246e+03 2.892663132824e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.651251151034e+02 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.164737500000e+02 2.000000000000e-01 3.247106250000e+02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.597685000000e+03 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.164737500000e+02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.082368750000e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 67 JET 2.450000000000e+00 4.900000000000e+03 7.000000000000e+03 2.282642592593e+04 1.985899055556e+02 7.989249074074e+02 3.500000000000e+00 8.454231824417e+02 3.703703703704e+00 1.255453425926e+02 5.500000000000e-01 2.282642592593e+02 1.000000000000e+00 4.565285185185e+00 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.946948283087e+02 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.473675189199e+03 6.456004956628e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.447493420507e+02 4.138840417315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.890398610883e+02 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.543916282906e+02 3.742993454443e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.776506101701e+03 7.782673062644e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.193041085020e+02 3.151190251318e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.221346188465e+02 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112832159996e+03 4.875192303899e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.135600351517e+02 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.372191767535e+02 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.221346188465e+02 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.565285185185e+01 2.000000000000e-01 6.847927777778e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.423963888889e+02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.282642592593e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 68 JET 2.450000000000e+00 9.025000000000e+03 7.000000000000e+03 4.579299047619e+03 2.655993447619e+01 1.602754666667e+02 3.500000000000e+00 1.308371156463e+02 2.857142857143e+00 3.663439238095e+01 8.000000000000e-01 4.579299047619e+01 1.000000000000e+00 9.158598095238e-01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635136820073e+01 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.796373625843e+02 6.106553856309e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.558307946806e+02 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.994105267124e+01 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.144824761905e+02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.634888242703e+02 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.442842590659e+02 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.988210534247e+01 1.307669683062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.451850107542e+02 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.533188091922e+01 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.189736792029e+01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.924395600428e+02 4.202380277890e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.579299047619e+00 1.000000000000e-01 9.158598095238e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.053238780952e+02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.579299047619e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 69 JET 2.450000000000e+00 1.822500000000e+04 7.000000000000e+03 6.329786407767e+02 3.671276116505e+00 2.215425242718e+01 3.500000000000e+00 1.843627109058e+01 2.912621359223e+00 4.367552621359e+00 6.900000000000e-01 6.329786407767e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.862207239244e+01 6.101639124039e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.970384325276e+01 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.685500935437e+00 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.731354057023e+00 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.323439268810e+01 5.250476168882e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.804544285213e+01 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.545340873689e+00 8.760707733968e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.735646671680e+01 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.202659417476e+01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.705358781996e+01 5.853844890326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.265957281553e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.228722330097e+00 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.329786407767e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 70 JET 2.450000000000e+00 3.422500000000e+04 7.000000000000e+03 7.300683333333e+01 5.183485166667e-01 2.555239166667e+00 3.500000000000e+00 1.431506535948e+00 1.960784313725e+00 5.767539833333e-01 7.900000000000e-01 7.300683333333e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.146077836563e+00 4.309292285283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.272612546002e+00 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.690319508487e-01 7.794228634060e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.314123000000e+00 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.857423944605e+00 6.653382598348e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971184500000e+00 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.887450881779e-01 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.330498833123e+00 7.301369734509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.227306752944e+00 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.803880637118e-01 3.840572873934e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.073624467661e+00 8.319254774317e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.920273333333e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.606150333333e+00 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.300683333333e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 71 JET 2.450000000000e+00 5.522500000000e+04 7.000000000000e+03 1.208457843137e+01 1.510572303922e-01 4.229602450980e-01 3.500000000000e+00 2.369525182622e-01 1.960784313725e+00 8.942588039216e-02 7.400000000000e-01 1.208457843137e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.312749580642e-01 4.396305266926e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.881930381827e-01 4.039801975345e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.633654440331e-01 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.927023171212e-01 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.185869546331e-01 7.601315675592e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900298823529e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.027189166667e+00 8.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.170660532350e-01 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.329303627451e+00 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.042289215686e-02 5.000000000000e-01 1.208457843137e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.933532549020e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.208457843137e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 72 JET 2.450000000000e+00 8.122500000000e+04 7.000000000000e+03 2.257119607843e+00 4.062815294118e-02 7.899918627451e-02 3.500000000000e+00 4.425724721261e-02 1.960784313725e+00 1.602554921569e-02 7.100000000000e-01 2.257119607843e-02 1.000000000000e+00 4.965663137255e-03 2.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.493925045954e-01 6.618723441873e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.600058001760e-02 4.253234063627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.174145915089e-02 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.959500306362e-02 4.412482294582e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.015893404930e-01 8.931265307895e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.974280446967e-02 3.089902911096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.593232997597e-02 1.148912529308e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.212898297223e-01 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.290117127050e-01 5.715767664977e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.563778335818e-02 6.928203230276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.951566882222e-01 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.128559803922e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.837103333333e-02 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.257119607843e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 73 JET 2.450000000000e+00 1.260250000000e+05 7.000000000000e+03 3.267908910891e-01 9.444256752475e-03 1.143768118812e-02 3.500000000000e+00 6.471106754240e-03 1.980198019802e+00 2.745043485149e-03 8.400000000000e-01 3.267908910891e-03 1.000000000000e+00 4.248281584158e-04 1.300000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.206927548991e-02 6.753332510694e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.619099642650e-02 4.954543369474e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.834384399532e-03 1.785357107136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.585525283363e-02 4.851803788283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.395599533596e-02 1.039074107078e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.286581938214e-03 2.535744466621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.014474345072e-03 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.821497766415e-02 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.404690278018e-02 7.358498488143e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.373455942884e-03 7.262919523167e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.112476124207e-02 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.803726732673e-04 3.000000000000e-01 6.535817821782e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.882236039604e-03 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.267908910891e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 74 JET 2.450000000000e+00 2.025000000000e+05 7.000000000000e+03 2.108002970297e-02 2.466363475248e-03 7.378010396040e-04 3.500000000000e+00 4.174263307519e-04 1.980198019802e+00 1.222641722772e-04 5.800000000000e-01 2.108002970297e-04 1.000000000000e+00 2.951204158416e-05 1.400000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.190371304079e-03 1.039074107078e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.277517629978e-03 6.060321773635e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.513524514520e-04 3.089902911096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.032867678460e-03 4.899744891318e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.060236636563e-03 1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.929077133532e-04 2.338268590218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210955512196e-04 5.744562646538e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.176026716939e-03 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.428781707769e-03 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.554213452407e-03 2.160439770047e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.318803267327e-04 1.100000000000e+00 6.324008910891e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.324008910891e-04 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.054001485149e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.108002970297e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 75 JET 2.450000000000e+00 3.025000000000e+05 7.000000000000e+03 5.880218811881e-04 3.757459820792e-04 2.058076584158e-05 3.500000000000e+00 1.164399764729e-05 1.980198019802e+00 4.704175049505e-07 8.000000000000e-02 5.880218811881e-06 1.000000000000e+00 9.408350099010e-07 1.600000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.162366220579e-05 1.976739740077e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.278355639352e-06 1.067707825203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.678567145824e-05 4.555216789572e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.723782156811e-06 9.733961166966e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.253730890253e-05 1.063520098541e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.018253858570e-06 1.023474474523e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.486390450917e-05 1.103086578651e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.432842644683e-05 7.538567503180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344437160295e-04 2.286372673035e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.292196930693e-06 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.056262574257e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.704175049505e-06 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.880218811881e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 76 JET 3.200000000000e+00 6.250000000000e+02 7.000000000000e+03 3.009795454545e+06 1.835975227273e+04 1.053428409091e+05 3.500000000000e+00 3.420222107438e+05 1.136363636364e+01 1.315280613636e+05 4.370000000000e+00 3.009795454545e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.935818268128e+05 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.140588514407e+05 1.043455796860e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.534714092368e+05 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.473898073687e+05 8.219489035214e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.521287111483e+05 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 9.597189551406e+05 3.188651752701e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.775383164574e+04 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.417163076698e+05 4.708502946797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.507303640443e+05 5.007993610220e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.502329901134e+04 3.157134776977e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.203918181818e+04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.815672727273e+05 1.600000000000e+01 0.000000000000e+00 0.000000000000e+00 3.009795454545e+03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.019590909091e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 77 JET 3.200000000000e+00 1.406250000000e+03 7.000000000000e+03 3.773619130435e+05 5.358539165217e+03 1.320766695652e+04 3.500000000000e+00 2.953267145558e+04 7.826086956522e+00 1.128312120000e+04 2.990000000000e+00 3.773619130435e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.185971675373e+04 8.442748367682e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.971274730588e+04 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.954340537708e+04 1.047890738579e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.304234006331e+04 8.756140702387e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.116092116429e+04 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 1.224392582563e+05 3.244610916582e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.056613356522e+04 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.339900512777e+04 3.550704155516e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.981329731479e+04 5.250476168882e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.377629425426e+04 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.773619130435e+02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.018895304348e+03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660410556522e+04 9.700000000000e+00 0.000000000000e+00 0.000000000000e+00 3.773619130435e+02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.773619130435e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 78 JET 3.200000000000e+00 2.756250000000e+03 7.000000000000e+03 6.000049541284e+04 1.920015853211e+03 2.100017339450e+03 3.500000000000e+00 3.302779564010e+03 5.504587155963e+00 1.098009066055e+03 1.830000000000e+00 6.000049541284e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.355997921819e+03 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.465975976327e+03 9.109884741313e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.539762145219e+03 7.566207768757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.479891897992e+03 7.466424847275e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.322735382681e+03 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 1.307336308601e+04 2.178875856950e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.193713625226e+03 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.350677654431e+03 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.104264668519e+03 5.173731728646e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.307680480335e+02 2.179449471770e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.558858598015e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.894296507038e+03 3.157134776977e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.545605430858e+02 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 1.200009908257e+02 2.000000000000e-01 2.400019816514e+02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.800064403670e+02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.000049541284e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 79 JET 3.200000000000e+00 4.900000000000e+03 7.000000000000e+03 1.203036190476e+04 1.636129219048e+02 4.210626666667e+02 3.500000000000e+00 5.728743764172e+02 4.761904761905e+00 4.174535580952e+02 3.470000000000e+00 1.203036190476e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.386104447851e+02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.515890329725e+02 7.078665128398e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.064196526553e+02 4.209513035970e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.756309512173e+02 5.616048432840e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.704163793476e+02 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 1.836355046318e+03 1.526433752247e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.172212069062e+02 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.107889691630e+02 1.752141546794e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.343948740502e+02 5.273281710662e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.251159415747e+01 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.096018130664e+02 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.740045326660e+02 2.277608394786e+00 0.000000000000e+00 0.000000000000e+00 3.609108571429e+01 3.000000000000e-01 6.015180952381e+01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.766983238095e+02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.203036190476e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 80 JET 3.200000000000e+00 9.025000000000e+03 7.000000000000e+03 1.760471844660e+03 4.137108834951e+01 6.161651456311e+01 3.500000000000e+00 6.836783862758e+01 3.883495145631e+00 7.253144000000e+01 4.120000000000e+00 1.760471844660e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.802359223301e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.188383696018e+02 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.694424227300e+01 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.073887825243e+02 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.954406930952e+01 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 1.936519029126e+02 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.518502120747e+01 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.798818048800e+01 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082761745997e+02 6.150406490631e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.143070919776e+01 1.785357107136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.041887378641e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.067284557710e+01 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 5.281415533981e+00 3.000000000000e-01 3.520943689320e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.985604271845e+01 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.760471844660e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 81 JET 3.200000000000e+00 1.822500000000e+04 7.000000000000e+03 1.508075490196e+02 2.050982666667e+00 5.278264215686e+00 3.500000000000e+00 4.435516147636e+00 2.941176470588e+00 3.951157784314e+00 2.620000000000e+00 1.508075490196e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.214047603347e+01 8.050310553016e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.197804977971e+00 4.109744517607e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.455331916828e+01 9.650259063880e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.225166319944e+00 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 1.888108104658e+01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.433259248371e+00 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.763545825333e+00 1.169401556353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.229127783624e+01 8.150306742694e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.858876106050e+00 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.016150980392e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.260371327853e+01 8.357481678113e+00 0.000000000000e+00 0.000000000000e+00 3.016150980392e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.619381176471e+00 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.508075490196e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.508075490196e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 82 JET 3.200000000000e+00 3.422500000000e+04 7.000000000000e+03 7.292278217822e+00 2.304359916832e-01 2.552297376238e-01 3.500000000000e+00 2.166023233016e-01 2.970297029703e+00 1.866823223762e-01 2.560000000000e+00 7.292278217822e-02 1.000000000000e+00 1.239687297030e-02 1.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.828347314778e-01 6.621178142899e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.509965239585e-01 4.813262926540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.211719935525e-01 8.518215775619e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.224742503862e-01 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 1.400800902079e+00 1.920937271230e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.242399802851e-01 4.446346815083e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.202673333739e-01 1.649242250247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.527601497277e-01 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.809473856888e-01 5.223983154644e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.669336340264e-02 6.403124237433e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.041545659472e+00 1.428285685709e+01 0.000000000000e+00 0.000000000000e+00 4.375366930693e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.427370762376e-01 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 7.292278217822e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.292278217822e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 83 JET 3.200000000000e+00 5.522500000000e+04 7.000000000000e+03 3.782301980198e-01 2.602223762376e-02 1.323805693069e-02 3.500000000000e+00 1.123456033722e-02 2.970297029703e+00 1.270853465347e-02 3.360000000000e+00 3.782301980198e-03 1.000000000000e+00 7.186373762376e-04 1.900000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.030093686226e-02 8.011242100948e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.677364913230e-02 7.078665128398e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.701103888672e-02 7.141428428543e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.065687527570e-02 5.461455849863e+00 0.000000000000e+00 0.000000000000e+00 8.846059644479e-02 2.338803112705e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.424653132598e-02 3.766629793330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.763342953641e-03 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.917217736350e-02 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.071068502462e-02 8.119575112036e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.419002447537e-02 1.961504524593e+01 0.000000000000e+00 0.000000000000e+00 3.782301980198e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.307204207921e-02 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 1.512920792079e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.782301980198e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 84 JET 3.200000000000e+00 8.122500000000e+04 7.000000000000e+03 1.099389108911e-02 3.935813009901e-03 3.847861881188e-04 3.500000000000e+00 3.265512204686e-04 2.970297029703e+00 3.880843554455e-04 3.530000000000e+00 1.099389108911e-04 1.000000000000e+00 2.308717128713e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.298524680195e-03 1.181132930707e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.168653433046e-04 7.430174964293e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.002721822537e-03 9.120718173477e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.095576387155e-04 8.273300429696e+00 0.000000000000e+00 0.000000000000e+00 4.033424762677e-03 3.668787265569e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.233361898146e-04 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.250393381078e-04 2.046948949046e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.503977863592e-03 2.277608394786e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.170113663030e-03 1.064330775652e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.545269803491e-04 2.315167380558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.292206916600e-03 2.994578434438e+01 0.000000000000e+00 0.000000000000e+00 3.298167326733e-05 3.000000000000e-01 7.695723762376e-05 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.088839306931e-03 1.900000000000e+01 0.000000000000e+00 0.000000000000e+00 1.429205841584e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.099389108911e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 85 JET 4.000000000000e+00 6.250000000000e+02 7.000000000000e+03 1.292636134454e+06 1.047035268908e+04 4.524226470588e+04 3.500000000000e+00 1.520748393475e+05 1.176470588235e+01 6.476107033613e+04 5.010000000000e+00 1.292636134454e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.747450912562e+05 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.421899747899e+05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.076281073055e+05 1.606237840421e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072829596017e+04 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.982628486356e+04 5.401851534428e+00 6.794644428189e+05 5.256424640381e+01 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.585272268908e+04 2.000000000000e+00 + 86 JET 4.000000000000e+00 1.406250000000e+03 7.000000000000e+03 1.313837383178e+05 1.129900149533e+03 4.598430841121e+03 3.500000000000e+00 1.227885404839e+04 9.345794392523e+00 1.211358067290e+04 9.220000000000e+00 1.313837383178e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245774897994e+04 9.481956549152e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.587515750276e+04 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.587515750276e+04 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.814656194644e+03 2.903446228192e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.319209174712e+03 3.287476235656e+00 7.187783265805e+04 5.470831746636e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.147961693723e+03 3.157134776977e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.197136158980e+03 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.902707286756e+03 6.014981296729e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.258633100374e+03 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.182453644860e+03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.145791775701e+03 6.200000000000e+00 9.196861682243e+02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.313837383178e+03 1.000000000000e+00 + 87 JET 4.000000000000e+00 2.756250000000e+03 7.000000000000e+03 1.288355882353e+04 2.679780235294e+02 4.509245588235e+02 3.500000000000e+00 1.010475201845e+03 7.843137254902e+00 7.266327176471e+02 5.640000000000e+00 1.288355882353e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.157786286967e+02 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.484407396122e+03 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.237358345564e+03 9.604165762834e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.454647631112e+02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.553504135569e+02 2.758169682960e+00 4.351420800608e+03 3.377499074759e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.254500082326e+02 4.854636958620e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.286570351286e+02 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.760820000000e+02 6.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.730135294118e+01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.810242462629e+01 6.062177826491e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.523945694345e+02 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.062405477265e+02 8.246211251235e-01 5.153423529412e+01 4.000000000000e-01 6.441779411765e+01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.932533823529e+02 1.500000000000e+00 3.865067647059e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.288355882353e+02 1.000000000000e+00 + 88 JET 4.000000000000e+00 4.900000000000e+03 7.000000000000e+03 1.293749000000e+03 2.885060270000e+01 4.528121500000e+01 3.500000000000e+00 9.056243000000e+01 7.000000000000e+00 6.818057230000e+01 5.270000000000e+00 1.293749000000e+01 1.000000000000e+00 2.587498000000e-01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.619771681307e+01 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.301536571398e+02 1.006019383511e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.712177235061e+01 6.734055241829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.747503776568e+01 2.123676058160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.975204451927e+01 6.164414002969e+00 2.818918461053e+02 2.178875856950e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.221854786759e+01 5.582114294781e+00 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0.000000000000e+00 0.000000000000e+00 8.606975510204e-03 1.000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTPTNORM_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTPTNORM_SF.dat new file mode 100644 index 0000000000..d19b6ba268 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTPTNORM_SF.dat @@ -0,0 +1,9 @@ +ATLASTOPDIFF8TEVTPTNORM 64 8 + 1 HQP_PTQ 3.000000000000e+01 3.003289000000e+04 8.000000000000e+03 3.866870286400e-03 0.000000000000e+00 1.558557738822e-05 4.030540523440e-01 -7.580084108003e-06 -1.960263351647e-01 -7.788523314473e-06 -2.014167204384e-01 -3.011336011061e-06 -7.787527866274e-02 -1.393801482693e-06 -3.604469194623e-02 -8.063970182957e-07 -2.085399712351e-02 0.000000000000e+00 0.000000000000e+00 -3.347575860274e-07 -8.657067892988e-03 1.920977470387e-07 4.974937185533e-03 5.599165790909e-06 1.450068963877e-01 9.112691600000e-06 2.360000000000e-01 8.110405678315e-06 2.100428527706e-01 1.357177685869e-05 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3.490000000000e-01 5.425421065894e-06 1.244296990272e-01 0.000000000000e+00 0.000000000000e+00 6.344137646721e-05 1.455000687285e+00 4.050653670000e-05 9.290000000000e-01 2.528933400000e-05 5.800000000000e-01 2.398126500000e-06 5.500000000000e-02 6.161008075795e-05 1.413000707714e+00 1.138020030000e-05 2.610000000000e-01 1.051891367489e-06 2.412467616363e-02 1.220864400000e-04 2.800000000000e+00 1.086423731955e-05 2.491666109253e-01 1.127547384737e-05 2.585981438448e-01 1.078015614842e-05 2.472382454233e-01 2.470764832408e-05 5.666592891677e-01 6.078160620000e-05 1.394000000000e+00 5.517975289190e-05 1.265523903370e+00 1.430760161130e-06 3.281386901906e-02 0.000000000000e+00 0.000000000000e+00 4.833369531319e-06 1.108512516844e-01 1.237150452802e-04 2.837351361746e+00 3.562307910000e-05 8.170000000000e-01 1.749767415733e-05 4.013016321920e-01 1.656887400000e-06 3.800000000000e-02 1.414894635000e-04 3.245000000000e+00 3.021861923415e-04 6.930510370817e+00 1.249205895000e-04 2.865000000000e+00 3.761570421000e-04 8.627000000000e+00 4.344423858556e-05 9.963749294317e-01 2.502772020000e-05 5.740000000000e-01 2.616138000000e-06 6.000000000000e-02 2.505250958005e-05 5.745685337712e-01 6.113042460000e-05 1.402000000000e+00 7.740697788062e-06 1.775295750009e-01 8.248509687129e-05 1.891760225293e+00 2.621483231953e-04 6.012259059621e+00 3.268372683134e-05 7.495872197416e-01 2.104365532203e-05 4.826271853097e-01 1.356031530000e-05 3.110000000000e-01 2.298250720730e-05 5.270939195248e-01 5.873302641898e-05 1.347016703683e+00 1.220864400000e-04 2.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM_SF.dat new file mode 100644 index 0000000000..553e4f8a9b --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM_SF.dat @@ -0,0 +1,7 @@ +ATLASTOPDIFF8TEVTTPTNORM 56 6 + 1 HQP_PTQQ 1.000000000000e+01 3.003289000000e+04 8.000000000000e+03 1.536633638400e-02 5.928227200000e-05 2.115224026671e-06 1.366565036872e-02 9.906176000000e-06 6.400000000000e-02 1.238272000000e-06 8.000000000000e-03 9.000855961317e-05 5.815107479660e-01 1.269417546941e-05 8.201219421525e-02 4.333952000000e-06 2.800000000000e-02 2.695464590622e-05 1.741436188897e-01 8.310906318161e-06 5.369357503464e-02 8.042812565962e-07 5.196152422707e-03 2.852833725473e-04 1.843106345277e+00 1.001452480000e-04 6.470000000000e-01 4.356007877811e-06 2.814249455894e-02 1.435407765207e-06 9.273618495496e-03 1.547840000000e-07 1.000000000000e-03 1.638372371880e-05 1.058489489792e-01 6.191360000000e-07 4.000000000000e-03 4.021406282981e-07 2.598076211353e-03 0.000000000000e+00 0.000000000000e+00 2.244368000000e-05 1.450000000000e-01 0.000000000000e+00 0.000000000000e+00 1.238272000000e-06 8.000000000000e-03 8.048768000000e-06 5.200000000000e-02 6.504612289329e-06 4.202380277890e-02 5.572224000000e-06 3.600000000000e-02 5.361875043975e-07 3.464101615138e-03 0.000000000000e+00 0.000000000000e+00 2.341898288376e-04 1.513010574980e+00 1.432233004607e-05 9.253107586103e-02 2.940896000000e-06 1.900000000000e-02 5.805431801626e-06 3.750666607418e-02 7.739200000000e-07 5.000000000000e-03 8.361201879049e-06 5.401851534428e-02 2.680937521987e-07 1.732050807569e-03 0.000000000000e+00 0.000000000000e+00 4.879306290017e-05 3.152332469775e-01 2.126069662402e-05 1.373571985736e-01 1.083488000000e-05 7.000000000000e-02 6.803822067219e-05 4.395688228253e-01 1.547840000000e-07 1.000000000000e-03 3.792208000000e-05 2.450000000000e-01 2.270468006753e-04 1.466862212343e+00 6.500928000000e-06 4.200000000000e-02 4.666737600000e-04 3.015000000000e+00 1.662704396536e-04 1.074209476778e+00 3.405248000000e-06 2.200000000000e-02 4.643520000000e-07 3.000000000000e-03 6.979025015835e-06 4.508880127038e-02 1.320208621478e-06 8.529361054616e-03 2.969947620569e-05 1.918769136712e-01 3.193355602538e-05 2.063104456880e-01 1.191836800000e-05 7.700000000000e-02 1.450431798409e-04 9.370683006057e-01 2.710930298205e-06 1.751427988814e-02 1.439491200000e-05 9.300000000000e-02 1.012031721115e-06 6.538348415311e-03 2.044754053395e-04 1.321037092591e+00 + 2 HQP_PTQQ 3.250000000000e+01 3.003289000000e+04 8.000000000000e+03 1.165863734750e-02 2.109464500000e-05 7.620118160624e-07 6.538348415311e-03 5.827250000000e-07 5.000000000000e-03 1.048905000000e-06 9.000000000000e-03 3.275080396154e-05 2.810142345149e-01 8.173120621216e-06 7.012845356915e-02 8.158150000000e-07 7.000000000000e-03 8.289455145513e-06 7.112664760833e-02 9.539619387979e-07 8.185352771872e-03 2.018618613681e-07 1.732050807569e-03 4.138168158046e-06 3.550704155516e-02 3.271418150000e-04 2.807000000000e+00 2.854757820727e-07 2.449489742783e-03 3.027927920522e-07 2.598076211353e-03 1.165450000000e-07 1.000000000000e-03 1.094949423651e-05 9.395078498874e-02 2.330900000000e-07 2.000000000000e-03 4.037237227362e-07 3.464101615138e-03 0.000000000000e+00 0.000000000000e+00 5.361070000000e-06 4.600000000000e-02 1.864720000000e-06 1.600000000000e-02 1.165450000000e-06 1.000000000000e-02 9.323600000000e-07 8.000000000000e-03 6.992700000000e-07 6.000000000000e-03 1.281995000000e-06 1.100000000000e-02 2.018618613681e-07 1.732050807569e-03 0.000000000000e+00 0.000000000000e+00 8.185707970741e-05 7.023645776945e-01 3.743979782237e-06 3.212475680842e-02 1.664595552409e-06 1.428285685709e-02 5.046546534203e-07 4.330127018922e-03 1.165450000000e-07 1.000000000000e-03 1.575514262493e-06 1.351850583460e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.239099088730e-06 3.637306695895e-02 1.317061633130e-05 1.130088492110e-01 5.827250000000e-07 5.000000000000e-03 1.771790670824e-05 1.520263135118e-01 1.165450000000e-07 1.000000000000e-03 3.834330500000e-05 3.290000000000e-01 5.642968813193e-05 4.841879800243e-01 3.612895000000e-06 3.100000000000e-02 8.612675500000e-05 7.390000000000e-01 6.218336537052e-05 5.335566980181e-01 1.515085000000e-06 1.300000000000e-02 0.000000000000e+00 0.000000000000e+00 1.226494241943e-06 1.052378258992e-02 4.661800000000e-07 4.000000000000e-03 8.742428795230e-06 7.501333214836e-02 1.474501528907e-05 1.265177853110e-01 5.477615000000e-06 4.700000000000e-02 4.661829136159e-05 4.000024999922e-01 2.008500160922e-06 1.723368793961e-02 5.244525000000e-06 4.500000000000e-02 4.456227275460e-06 3.823610858861e-02 6.864500500000e-05 5.890000000000e-01 + 3 HQP_PTQQ 6.000000000000e+01 3.003289000000e+04 8.000000000000e+03 5.853003229900e-03 1.984749580000e-05 3.024358163807e-07 5.196152422707e-03 3.317616600000e-06 5.700000000000e-02 2.328152000000e-07 4.000000000000e-03 1.367117314472e-05 2.348845461072e-01 4.032477551743e-07 6.928203230276e-03 9.312608000000e-07 1.600000000000e-02 6.040589906975e-06 1.037834283496e-01 2.268268622855e-06 3.897114317030e-02 5.230251891697e-07 8.986100377806e-03 8.149878890913e-05 1.400231409446e+00 9.254404200000e-05 1.590000000000e+00 1.687910200000e-06 2.900000000000e-02 9.652008298644e-08 1.658312395178e-03 1.930401659729e-07 3.316624790355e-03 2.128023580829e-06 3.656159186906e-02 0.000000000000e+00 0.000000000000e+00 7.911221848032e-07 1.359227721907e-02 0.000000000000e+00 0.000000000000e+00 4.714507800000e-06 8.100000000000e-02 5.820380000000e-07 1.000000000000e-02 1.105872200000e-06 1.900000000000e-02 2.037133000000e-06 3.500000000000e-02 2.211744400000e-06 3.800000000000e-02 8.730570000000e-07 1.500000000000e-02 5.040596939679e-08 8.660254037844e-04 0.000000000000e+00 0.000000000000e+00 3.935127883312e-05 6.760946679275e-01 3.769342079281e-06 6.476109943477e-02 9.652008298644e-08 1.658312395178e-03 2.172140550538e-06 3.731956591387e-02 9.652008298644e-08 1.658312395178e-03 2.099173122094e-06 3.606591188366e-02 9.652008298644e-08 1.658312395178e-03 0.000000000000e+00 0.000000000000e+00 1.436570127808e-05 2.468172400786e-01 2.562289672177e-06 4.402272140611e-02 3.143005200000e-06 5.400000000000e-02 1.596503816089e-05 2.742954611363e-01 5.820380000000e-08 1.000000000000e-03 1.146614860000e-05 1.970000000000e-01 5.781348618338e-05 9.932940148818e-01 1.338687400000e-06 2.300000000000e-02 9.405734080000e-05 1.616000000000e+00 2.437667631808e-05 4.188158903385e-01 1.862521600000e-06 3.200000000000e-02 1.746114000000e-07 3.000000000000e-03 2.299418448973e-06 3.950632860695e-02 1.164076000000e-07 2.000000000000e-03 6.547022044952e-06 1.124844433688e-01 2.382093178318e-06 4.092676385936e-02 9.030971830409e-07 1.551612064918e-02 2.704095868413e-05 4.645909491155e-01 6.234874079538e-07 1.071214264281e-02 4.772711600000e-06 8.200000000000e-02 2.801501927237e-06 4.813262926540e-02 3.693308588142e-05 6.345476735439e-01 + 4 HQP_PTQQ 9.750000000000e+01 3.003289000000e+04 8.000000000000e+03 2.684057888000e-03 1.399731050000e-05 4.452323606839e-07 1.663580475961e-02 2.315120099864e-06 8.650289012513e-02 6.690875000000e-07 2.500000000000e-02 2.204209429003e-05 8.235878823781e-01 3.987941116760e-06 1.490067112583e-01 1.150830500000e-06 4.300000000000e-02 6.954429943512e-06 2.598475514605e-01 1.483383737228e-06 5.542562584220e-02 2.943985000000e-07 1.100000000000e-02 4.427301580666e-05 1.654231165829e+00 4.316952550000e-05 1.613000000000e+00 1.017013000000e-06 3.800000000000e-02 2.086008380477e-07 7.794228634060e-03 6.953361268255e-08 2.598076211353e-03 5.533948247600e-06 2.067722176696e-01 1.070540000000e-07 4.000000000000e-03 3.060298268007e-07 1.143459662603e-02 0.000000000000e+00 0.000000000000e+00 5.218882500000e-06 1.950000000000e-01 1.873445000000e-07 7.000000000000e-03 2.676350000000e-08 1.000000000000e-03 1.739627500000e-06 6.500000000000e-02 1.606255996398e-06 6.001666435249e-02 1.043776500000e-06 3.900000000000e-02 9.271148357674e-08 3.464101615138e-03 0.000000000000e+00 0.000000000000e+00 5.823978663301e-05 2.176090071665e+00 3.789351523095e-06 1.415865459710e-01 5.303969335707e-07 1.981792118261e-02 6.048491788427e-07 2.259977875998e-02 1.070540000000e-07 4.000000000000e-03 1.686525263957e-06 6.301587101675e-02 4.635574178837e-08 1.732050807569e-03 0.000000000000e+00 0.000000000000e+00 9.201614744991e-06 3.438120853024e-01 3.414103791993e-06 1.275656693629e-01 2.060789500000e-06 7.700000000000e-02 1.696957862596e-05 6.340567797918e-01 2.676350000000e-08 1.000000000000e-03 2.756640500000e-06 1.030000000000e-01 3.960574824760e-05 1.479841883446e+00 2.301661000000e-06 8.600000000000e-02 3.950292600000e-05 1.476000000000e+00 4.090310456521e-05 1.528316721102e+00 4.817430000000e-07 1.800000000000e-02 5.352700000000e-08 2.000000000000e-03 2.074948109356e-06 7.752902682222e-02 2.408715000000e-07 9.000000000000e-03 7.423145125421e-06 2.773607758858e-01 7.103213909308e-06 2.654067632899e-01 3.051273758512e-06 1.140087715924e-01 3.605075240209e-05 1.347011878196e+00 1.911296197473e-07 7.141428428543e-03 3.559545500000e-06 1.330000000000e-01 7.226145000000e-07 2.700000000000e-02 5.184820816988e-05 1.937273083486e+00 + 5 HQP_PTQQ 1.550000000000e+02 3.003289000000e+04 8.000000000000e+03 1.029768947500e-03 8.182641200000e-06 2.586320222110e-07 2.515949125082e-02 3.855572752427e-07 3.750666607418e-02 8.840542000000e-07 8.600000000000e-02 1.236144396999e-05 1.202510187067e+00 3.058530354224e-06 2.975310908124e-01 4.523068000000e-07 4.400000000000e-02 2.940137968513e-06 2.860139856720e-01 4.095141417910e-07 3.983716857408e-02 3.560992537313e-07 3.464101615138e-02 1.277209909435e-05 1.242458349403e+00 6.593399580000e-05 6.414000000000e+00 6.231736940298e-08 6.062177826491e-03 1.691471455224e-07 1.645448267190e-02 4.682626203176e-08 4.555216789572e-03 3.044527140626e-06 2.961688707478e-01 1.027970000000e-07 1.000000000000e-02 3.078336793249e-07 2.994578434438e-02 0.000000000000e+00 0.000000000000e+00 2.292373100000e-06 2.230000000000e-01 3.186707000000e-07 3.100000000000e-02 5.345444000000e-07 5.200000000000e-02 5.139850000000e-07 5.000000000000e-02 3.395414631679e-07 3.303028912983e-02 6.579008000000e-07 6.400000000000e-02 1.157322574627e-07 1.125833024920e-02 0.000000000000e+00 0.000000000000e+00 3.040411178489e-05 2.957684736411e+00 1.249512229261e-06 1.215514294445e-01 6.786159351564e-07 6.601514977640e-02 2.937818843283e-07 2.857883832489e-02 9.251730000000e-08 9.000000000000e-03 7.614441013100e-07 7.407259952236e-02 8.902481343283e-09 8.660254037844e-04 0.000000000000e+00 0.000000000000e+00 2.314645149254e-06 2.251666049840e-01 5.181384356524e-06 5.040404249661e-01 5.345444000000e-07 5.200000000000e-02 6.504059286664e-06 6.327090563600e-01 1.027970000000e-08 1.000000000000e-03 3.896006300000e-06 3.790000000000e-01 2.062511781354e-05 2.006392969984e+00 9.148933000000e-07 8.900000000000e-02 1.729045540000e-05 1.682000000000e+00 2.328381096212e-05 2.265028255894e+00 4.523068000000e-07 4.400000000000e-02 1.027970000000e-08 1.000000000000e-03 4.758457473918e-07 4.628984769904e-02 2.055940000000e-07 2.000000000000e-02 3.135443312839e-06 3.050131144721e-01 5.660025130602e-06 5.506021703553e-01 2.220462790694e-06 2.160046295800e-01 1.742923286573e-05 1.695500147449e+00 7.711145504855e-07 7.501333214836e-02 2.035380600000e-06 1.980000000000e-01 1.799182449229e-06 1.750228556503e-01 2.495486207683e-05 2.427586610195e+00 + 6 HQP_PTQQ 2.450000000000e+02 3.003289000000e+04 8.000000000000e+03 2.980070190250e-04 4.550393050000e-06 1.185085245858e-07 4.065402809071e-02 2.434154025381e-07 8.350299395830e-02 3.177404500000e-07 1.090000000000e-01 3.281272720693e-06 1.125631711529e+00 6.951401106476e-07 2.384659304806e-01 5.538595000000e-08 1.900000000000e-02 4.905952072909e-07 1.682973558913e-01 2.623868874453e-07 9.001111042532e-02 2.373036912104e-07 8.140638795574e-02 2.428883963780e-06 8.332220592375e-01 2.621504465000e-05 8.993000000000e+00 7.168593380076e-08 2.459166525472e-02 1.146915670216e-07 3.934463114581e-02 5.023706202837e-08 1.723368793961e-02 9.650928899969e-07 3.310724996130e-01 5.538595000000e-08 1.900000000000e-02 3.079898971028e-07 1.056550992617e-01 0.000000000000e+00 0.000000000000e+00 3.877016500000e-07 1.330000000000e-01 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2.800000000000e+00 + 2 HQP_PTQQ 3.250000000000e+01 3.003289000000e+04 8.000000000000e+03 3.082566552400e+00 1.252836320000e-02 8.666769648501e-03 2.794758486882e-01 1.277644960000e-02 4.120000000000e-01 7.318548800000e-03 2.360000000000e-01 1.296069665389e-03 4.179413834499e-02 2.143786271022e-03 6.913031173082e-02 8.062808000000e-04 2.600000000000e-02 1.917347884262e-03 6.182839153657e-02 1.101101764259e-02 3.550704155516e-01 1.181670186034e-03 3.810511776652e-02 1.106642459898e-02 3.568571142628e-01 6.388224800000e-03 2.060000000000e-01 2.112834784038e-03 6.813222438758e-02 3.632733558083e-03 1.171441419790e-01 9.303240000000e-05 3.000000000000e-03 1.497828060442e-02 4.830020703889e-01 7.504613600000e-03 2.420000000000e-01 1.074245623667e-04 3.464101615138e-03 0.000000000000e+00 0.000000000000e+00 1.352070880000e-02 4.360000000000e-01 1.184612560000e-02 3.820000000000e-01 6.791365200000e-03 2.190000000000e-01 9.923456000000e-04 3.200000000000e-02 2.874701160000e-02 9.270000000000e-01 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1.992031010247e-03 2.797262054224e-01 1.681074673317e-03 2.360609031585e-01 2.556568240000e-03 3.590000000000e-01 1.015523914029e-02 1.426025245218e+00 7.121360000000e-06 1.000000000000e-03 1.623670080000e-03 2.280000000000e-01 5.043736840852e-02 7.082547211279e+00 6.587258000000e-03 9.250000000000e-01 2.550159016000e-02 3.581000000000e+00 1.693896987188e-02 2.378614460143e+00 1.794582720000e-03 2.520000000000e-01 7.121360000000e-06 1.000000000000e-03 1.018553659402e-03 1.430279692927e-01 9.435802000000e-03 1.325000000000e+00 4.358272320000e-03 6.120000000000e-01 3.475748986527e-03 4.880737649167e-01 2.944581587157e-02 4.134858492137e+00 1.996288946576e-02 2.803241159801e+00 1.356801307289e-04 1.905255888326e-02 1.053961280000e-03 1.480000000000e-01 8.128339146196e-04 1.141402645870e-01 2.755967976130e-02 3.870002325581e+00 1.993980800000e-02 2.800000000000e+00 + 5 HQP_PTQQ 1.550000000000e+02 3.003289000000e+04 8.000000000000e+03 2.721593650000e-01 2.398831790000e-03 6.777787122934e-04 2.477922516948e-01 1.012049900000e-03 3.700000000000e-01 3.856730700000e-04 1.410000000000e-01 3.944412982548e-03 1.442056170889e+00 8.150324368195e-04 2.979714751449e-01 2.106157900000e-04 7.700000000000e-02 1.144908188604e-03 4.185722757183e-01 1.058859547876e-03 3.871133554916e-01 2.013491310278e-04 7.361215932168e-02 2.459466734837e-03 8.991678096996e-01 2.401840587000e-02 8.781000000000e+00 1.983919445288e-04 7.253102784326e-02 2.816265658895e-04 1.029611577246e-01 8.205810000000e-06 3.000000000000e-03 2.364461351707e-03 8.644343526260e-01 6.947585800000e-04 2.540000000000e-01 8.317874668110e-05 3.040970239907e-02 0.000000000000e+00 0.000000000000e+00 1.929741708379e-03 7.055031892203e-01 9.163154500000e-04 3.350000000000e-01 7.686108700000e-04 2.810000000000e-01 2.461743000000e-04 9.000000000000e-02 2.643644822667e-03 9.665023279848e-01 8.479337000000e-05 3.100000000000e-02 7.157580195809e-05 2.616772821626e-02 7.658756000000e-03 2.800000000000e+00 1.206065377433e-02 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1.234827805856e-04 2.950847335936e-02 2.510793000000e-05 6.000000000000e-03 2.174410521644e-05 5.196152422707e-03 0.000000000000e+00 0.000000000000e+00 4.540447094598e-04 1.085023041230e-01 4.784984194410e-05 1.143459662603e-02 1.087205260822e-05 2.598076211353e-03 1.220026100076e-04 2.915475947423e-02 3.788153015974e-04 9.052485846440e-02 3.624017536074e-05 8.660254037844e-03 4.163679153625e-05 9.949874371066e-03 0.000000000000e+00 0.000000000000e+00 7.248035072147e-05 1.732050807569e-02 8.398030224791e-05 2.006863224039e-02 2.929258500000e-04 7.000000000000e-02 8.335240332969e-05 1.991858428704e-02 4.184655000000e-05 1.000000000000e-02 2.117435430000e-03 5.060000000000e-01 4.146891232102e-03 9.909756556041e-01 2.510793000000e-05 6.000000000000e-03 2.071404225000e-03 4.950000000000e-01 2.525656836652e-04 6.035519861619e-02 1.339089600000e-04 3.200000000000e-02 5.440051500000e-05 1.300000000000e-02 1.372030895396e-05 3.278719262151e-03 1.234827805856e-04 2.950847335936e-02 5.073624550503e-05 1.212435565298e-02 7.400453224930e-05 1.768473918383e-02 2.320503452211e-05 5.545268253205e-03 1.605920989884e-04 3.837642505497e-02 1.449607014429e-05 3.464101615138e-03 5.440051500000e-04 1.300000000000e-01 5.472146477575e-05 1.307669683062e-02 2.093164263681e-04 5.001999600160e-02 + 7 HQP_YQQ 4.500000000000e-01 3.003289000000e+04 8.000000000000e+03 3.853255160400e-01 2.665012173745e-03 6.004323146765e-05 1.564448784716e-02 1.343293000000e-04 3.500000000000e-02 1.093824300000e-03 2.850000000000e-01 1.043111846163e-03 2.717866810570e-01 6.647576358433e-05 1.732050807569e-02 1.420052600000e-04 3.700000000000e-02 3.195161570203e-04 8.325112611851e-02 2.827304697314e-04 7.366647812947e-02 2.958171479503e-04 7.707626093682e-02 1.384202484913e-04 3.606591188366e-02 7.522440800000e-04 1.960000000000e-01 1.628317010435e-05 4.242640687119e-03 2.704823042151e-04 7.047517293345e-02 6.364569806444e-06 1.658312395178e-03 1.994272907530e-05 5.196152422707e-03 6.908364000000e-05 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2.300000000000e-02 3.914739600000e-04 1.020000000000e-01 2.315863973534e-04 6.034069936618e-02 1.113014200000e-04 2.900000000000e-02 7.675960000000e-06 2.000000000000e-03 2.545827922578e-05 6.633249580711e-03 8.827354000000e-05 2.300000000000e-02 1.329515271687e-05 3.464101615138e-03 1.145622565160e-04 2.984962311320e-02 3.837980000000e-06 1.000000000000e-03 2.034853418318e-04 5.301886456725e-02 4.039006710448e-05 1.052378258992e-02 4.643955800000e-04 1.210000000000e-01 4.320924632982e-05 1.125833024920e-02 2.579739304473e-04 6.721606950722e-02 + 8 HQP_YQQ 7.500000000000e-01 3.003289000000e+04 8.000000000000e+03 3.194153740800e-01 2.660156075499e-03 1.138400822937e-05 3.570714214271e-03 2.550528000000e-05 8.000000000000e-03 6.567609600000e-04 2.060000000000e-01 2.384255602888e-04 7.478469094674e-02 6.770619061582e-05 2.123676058160e-02 3.825792000000e-05 1.200000000000e-02 1.244914225639e-04 3.904804732634e-02 9.663596429653e-05 3.031088913246e-02 2.153601490037e-04 6.754998149519e-02 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4.330127018922e-03 2.495279428937e-05 1.125833024920e-02 8.312921208682e-05 3.750666607418e-02 5.483033677221e-05 2.473863375371e-02 9.138389462035e-06 4.123105625618e-03 0.000000000000e+00 0.000000000000e+00 5.374448000787e-05 2.424871130596e-02 6.276714665744e-05 2.831960451701e-02 1.773108000000e-05 8.000000000000e-03 3.919619065595e-05 1.768473918383e-02 2.881300500000e-05 1.300000000000e-02 6.316697250000e-04 2.850000000000e-01 1.310361601885e-03 5.912156966793e-01 2.881300500000e-05 1.300000000000e-02 7.136759700000e-04 3.220000000000e-01 1.243350501166e-04 5.609812831102e-02 1.551469500000e-04 7.000000000000e-02 2.881300500000e-05 1.300000000000e-02 1.880665035864e-05 8.485281374239e-03 6.983371564173e-05 3.150793550838e-02 5.459465108960e-05 2.463229587351e-02 9.210006456028e-05 4.155418149838e-02 4.432770000000e-06 2.000000000000e-03 1.008576947044e-04 4.550549417378e-02 1.273216248135e-05 5.744562646538e-03 3.568379850000e-04 1.610000000000e-01 1.582815484760e-05 7.141428428543e-03 1.480629785094e-04 6.680381725620e-02 + 10 HQP_YQQ 1.900000000000e+00 3.003289000000e+04 8.000000000000e+03 6.228474934500e-02 9.088793617869e-04 3.554546414877e-05 5.685727745856e-02 1.625442000000e-05 2.600000000000e-02 5.864094600000e-04 9.380000000000e-01 4.300227880029e-04 6.878493657771e-01 2.563006392303e-05 4.099695110615e-02 4.001088000000e-05 6.400000000000e-02 1.056088673021e-04 1.689282392023e-01 9.402679422305e-05 1.504019614234e-01 2.111511096567e-04 3.377499074759e-01 4.930130416357e-05 7.886063656857e-02 1.275346800000e-03 2.040000000000e+00 4.594042507487e-06 7.348469228350e-03 1.206626687364e-04 1.930077718642e-01 5.304743356733e-06 8.485281374239e-03 4.067450380562e-05 6.506150935845e-02 4.095102107552e-05 6.550381668269e-02 1.624239305052e-05 2.598076211353e-02 0.000000000000e+00 0.000000000000e+00 2.313129000000e-05 3.700000000000e-02 6.814353000000e-05 1.090000000000e-01 3.257135700000e-04 5.210000000000e-01 0.000000000000e+00 0.000000000000e+00 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6.337077882942e-06 1.013656746636e-02 3.901556696606e-05 6.240793218814e-02 6.579153161743e-06 1.052378258992e-02 6.355476498107e-05 1.016599724572e-01 8.127210000000e-06 1.300000000000e-02 1.456646100000e-04 2.330000000000e-01 2.319877749571e-05 3.710795063056e-02 9.006083237390e-05 1.440581479820e-01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAP_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAP_SF.dat new file mode 100644 index 0000000000..ae64f8b65f --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAP_SF.dat @@ -0,0 +1,11 @@ +ATLASTOPDIFF8TEVTTRAP 57 10 + 1 HQP_YQQ -1.900000000000e+00 3.003289000000e+04 8.000000000000e+03 1.652091845000e+01 3.000819248883e-01 3.396338255758e-02 2.050384110356e-01 6.112263600000e-02 3.690000000000e-01 2.118586760000e-01 1.279000000000e+00 1.974644618177e-01 1.192101505745e+00 1.254609788328e-02 7.574133613820e-02 5.797540000000e-03 3.500000000000e-02 6.083646586221e-02 3.672723784877e-01 3.041180534071e-02 1.835973856023e-01 6.900036966453e-02 4.165582192203e-01 1.470784407922e-02 8.879189152169e-02 9.989989640000e-01 6.031000000000e+00 1.115455846477e-02 6.734055241829e-02 5.412904027692e-02 3.267793598133e-01 1.524914741510e-03 9.205976319761e-03 9.078772202541e-02 5.480894087647e-01 5.284043600000e-02 3.190000000000e-01 5.020816919456e-03 3.031088913246e-02 0.000000000000e+00 0.000000000000e+00 9.267789201427e-02 5.595004468273e-01 3.892634000000e-02 2.350000000000e-01 1.351655040000e-01 8.160000000000e-01 8.447844000000e-03 5.100000000000e-02 1.468434527129e-01 8.865002820079e-01 1.292023200000e-02 7.800000000000e-02 7.205037995772e-03 4.349712634186e-02 4.638032000000e-01 2.800000000000e+00 3.489561549462e-01 2.106663416400e+00 3.000443428267e-02 1.811380688867e-01 7.868961762232e-03 4.750526286634e-02 1.047082355377e-01 6.321281515642e-01 2.544291840000e-01 1.536000000000e+00 9.245339396997e-02 5.581451424137e-01 6.839211887432e-03 4.128861828640e-02 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6.793406919305e-01 1.484417834231e-01 2.527765811937e-01 2.102337100000e-01 3.580000000000e-01 3.047801550000e-01 5.190000000000e-01 4.413195014134e-01 7.515083166539e-01 2.779970939319e-02 4.733920151418e-02 5.872450000000e-03 1.000000000000e-02 1.497566864030e-01 2.550156857921e-01 1.652849536798e-01 2.814582562299e-01 2.135990170631e-02 3.637306695895e-02 1.579023074208e-02 2.688865931950e-02 2.154014660000e+00 3.668000000000e+00 4.365407276622e-02 7.433707016018e-02 9.832452617817e-02 1.674335689162e-01 1.525707264736e-03 2.598076211353e-03 3.835285360872e-01 6.530980018343e-01 1.497474750000e-01 2.550000000000e-01 1.038527466201e-02 1.768473918383e-02 0.000000000000e+00 0.000000000000e+00 3.162317051299e-01 5.385004642524e-01 1.726500300000e-01 2.940000000000e-01 1.632541100000e-01 2.780000000000e-01 3.171123000000e-02 5.400000000000e-02 5.352739785655e-01 9.115002742731e-01 5.226480500000e-02 8.900000000000e-02 1.118851994140e-02 1.905255888326e-02 1.644286000000e+00 2.800000000000e+00 1.150798354285e+00 1.959656283638e+00 1.106964613368e-01 1.885013262553e-01 2.140022626874e-02 3.644173431658e-02 3.846965753690e-01 6.550870171206e-01 7.833848300000e-01 1.334000000000e+00 3.228089290391e-01 5.497006003271e-01 1.373450433921e-02 2.338803112705e-02 0.000000000000e+00 0.000000000000e+00 1.779991808859e-02 3.031088913246e-02 1.335988828226e-01 2.275010988984e-01 1.703010500000e-01 2.900000000000e-01 5.341072370085e-01 9.095134688392e-01 8.221430000000e-03 1.400000000000e-02 4.874133500000e-02 8.300000000000e-02 4.389463493186e+00 7.474671547968e+00 5.749128550000e-01 9.790000000000e-01 2.371882555000e+00 4.039000000000e+00 7.318279139225e-01 1.246205440527e+00 9.983165000000e-02 1.700000000000e-01 4.110715000000e-03 7.000000000000e-03 3.630841378790e-02 6.182839153657e-02 7.528480900000e-01 1.282000000000e+00 2.357967840079e-01 4.015305094261e-01 2.080190562207e-01 3.542287396584e-01 2.485465605872e+00 4.232416803671e+00 1.037727051620e+00 1.767110918986e+00 1.861436969931e-02 3.169779172119e-02 1.127510400000e-01 1.920000000000e-01 6.931481375167e-02 1.180338934374e-01 1.399410995761e+00 2.383010490955e+00 1.644286000000e+00 2.800000000000e+00 + 3 HQP_YQQ -7.500000000000e-01 3.003289000000e+04 8.000000000000e+03 8.459878638750e+01 8.195103843123e-01 2.241957281200e-01 2.654067632899e-01 3.260638500000e-01 3.860000000000e-01 1.106589750000e-01 1.310000000000e-01 3.661480950910e-01 4.334524195341e-01 1.941030272639e-02 2.297825058615e-02 3.463372500000e-02 4.100000000000e-02 1.383306504799e-01 1.637582059013e-01 2.743324909544e-01 3.247595264192e-01 9.510193019754e-03 1.125833024920e-02 1.682572611187e-02 1.991858428704e-02 3.070575375000e+00 3.635000000000e+00 5.873572834583e-02 6.953236656407e-02 1.038771353287e-01 1.229715414232e-01 2.926213236847e-03 3.464101615138e-03 5.284934724836e-01 6.256396726551e-01 2.018892750000e-01 2.390000000000e-01 1.243640625660e-02 1.472243186434e-02 0.000000000000e+00 0.000000000000e+00 4.324992000000e-01 5.120000000000e-01 2.855170500000e-01 3.380000000000e-01 1.571188500000e-01 1.860000000000e-01 4.054680000000e-02 4.800000000000e-02 7.851721146987e-01 9.295002689618e-01 5.659657500000e-02 6.700000000000e-02 2.492654515848e-02 2.950847335936e-02 2.365230000000e+00 2.800000000000e+00 1.585131976949e+00 1.876506528099e+00 1.364871460285e-01 1.615758335891e-01 2.461326301927e-02 2.913760456867e-02 5.523106365124e-01 6.538348415311e-01 1.057595700000e+00 1.252000000000e+00 4.350481369340e-01 5.150174754317e-01 1.817140722902e-02 2.151162476430e-02 0.000000000000e+00 0.000000000000e+00 3.145679229611e-02 3.723909236273e-02 1.420394475022e-01 1.681487436765e-01 2.255415750000e-01 2.670000000000e-01 7.565363655199e-01 8.956007760157e-01 0.000000000000e+00 0.000000000000e+00 2.449702500000e-02 2.900000000000e-02 5.582844721626e+00 6.609067710351e+00 8.607747750000e-01 1.019000000000e+00 3.609509925000e+00 4.273000000000e+00 9.796117979538e-01 1.159681313982e+00 1.875289500000e-01 2.220000000000e-01 2.111812500000e-02 2.500000000000e-02 5.110935297998e-02 6.050413209030e-02 1.109968650000e+00 1.314000000000e+00 2.998797544976e-01 3.550028168902e-01 2.306099250000e-01 2.730000000000e-01 3.570574411602e+00 4.226907468824e+00 1.431952894615e+00 1.695170492900e+00 1.755727942108e-02 2.078460969083e-02 1.436032500000e-01 1.700000000000e-01 1.163353785658e-01 1.377198242810e-01 1.914596139900e+00 2.266531877120e+00 2.365230000000e+00 2.800000000000e+00 + 4 HQP_YQQ -4.500000000000e-01 3.003289000000e+04 8.000000000000e+03 1.020433727500e+02 8.427346701442e-01 2.821723430667e-01 2.774828823549e-01 4.372670000000e-01 4.300000000000e-01 5.287880000000e-02 5.200000000000e-02 2.400487169964e-01 2.360593145800e-01 3.189890656809e-02 3.136877428272e-02 6.813230000000e-02 6.700000000000e-02 1.299962577870e-01 1.278358322224e-01 3.949275525689e-01 3.883641976290e-01 8.806612331084e-03 8.660254037844e-03 2.775131092485e-02 2.729010809799e-02 3.951673400000e+00 3.886000000000e+00 7.863076918224e-02 7.732399368889e-02 6.647096576798e-02 6.536627570850e-02 1.016900000000e-03 1.000000000000e-03 6.178173836863e-01 6.075497921981e-01 2.389715000000e-01 2.350000000000e-01 1.089317785348e-02 1.071214264281e-02 0.000000000000e+00 0.000000000000e+00 5.145514000000e-01 5.060000000000e-01 4.077769000000e-01 4.010000000000e-01 1.718561000000e-01 1.690000000000e-01 5.389570000000e-02 5.300000000000e-02 9.736820155091e-01 9.575002610966e-01 9.253790000000e-02 9.100000000000e-02 4.257642627476e-02 4.186884283092e-02 2.847320000000e+00 2.800000000000e+00 1.889981010748e+00 1.858571158175e+00 1.896893325561e-01 1.865368596283e-01 2.952514469448e-02 2.903446228192e-02 6.699966635853e-01 6.588618975172e-01 1.237567300000e+00 1.217000000000e+00 5.110048978534e-01 5.025124376570e-01 1.118590000000e-02 1.100000000000e-02 0.000000000000e+00 0.000000000000e+00 3.962975548988e-02 3.897114317030e-02 1.706968957918e-01 1.678600607649e-01 2.908334000000e-01 2.860000000000e-01 9.116511335750e-01 8.965002788622e-01 1.016900000000e-03 1.000000000000e-03 8.338580000000e-02 8.200000000000e-02 6.249361804368e+00 6.145502806931e+00 1.031136600000e+00 1.014000000000e+00 3.891676300000e+00 3.827000000000e+00 1.155787599687e+00 1.136579407697e+00 2.145659000000e-01 2.110000000000e-01 9.152100000000e-03 9.000000000000e-03 7.704821195594e-02 7.576773719731e-02 1.358578400000e+00 1.336000000000e+00 3.911097740249e-01 3.846098672681e-01 2.888510670249e-01 2.840506116874e-01 4.301392611172e+00 4.229907179833e+00 1.697279822126e+00 1.669072496928e+00 1.577834308815e-02 1.551612064918e-02 1.454167000000e-01 1.430000000000e-01 1.344184486673e-01 1.321845301085e-01 2.289045965789e+00 2.251003998219e+00 2.847320000000e+00 2.800000000000e+00 + 5 HQP_YQQ -1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 1.107734945400e+02 9.721701421764e-01 3.232600824888e-01 2.915523109152e-01 4.601333250000e-01 4.150000000000e-01 4.102393500000e-02 3.700000000000e-02 1.510838889017e-01 1.362644487752e-01 2.987472399736e-02 2.694438717061e-02 6.874281000000e-02 6.200000000000e-02 1.518012744192e-01 1.369114677447e-01 4.646649210178e-01 4.190871031182e-01 5.761259979438e-03 5.196152422707e-03 2.097862909508e-02 1.892088792842e-02 3.910578885000e+00 3.527000000000e+00 8.368713516540e-02 7.547847375245e-02 6.947878537536e-02 6.266378539476e-02 4.435020000000e-03 4.000000000000e-03 6.741583715217e-01 6.080318659413e-01 2.583399150000e-01 2.330000000000e-01 9.326073061009e-03 8.411301920630e-03 0.000000000000e+00 0.000000000000e+00 5.615849547628e-01 5.065004935832e-01 4.545895500000e-01 4.100000000000e-01 1.541169450000e-01 1.390000000000e-01 5.322024000000e-02 4.800000000000e-02 1.067732216355e+00 9.630010384210e-01 9.978795000000e-02 9.000000000000e-02 3.030371634913e-02 2.733130073743e-02 3.104514000000e+00 2.800000000000e+00 1.995230654505e+00 1.799523478591e+00 2.128484744647e-01 1.919707008895e-01 3.440715270077e-02 3.103224129837e-02 7.539949771661e-01 6.800374989660e-01 1.337158530000e+00 1.206000000000e+00 5.804464796342e-01 5.235119387368e-01 1.296579822614e-02 1.169401556353e-02 0.000000000000e+00 0.000000000000e+00 2.592566990747e-02 2.338268590218e-02 2.011802262942e-01 1.814469619476e-01 3.902817600000e-01 3.520000000000e-01 9.844475430534e-01 8.878855500570e-01 8.870040000000e-03 8.000000000000e-03 1.518994350000e-01 1.370000000000e-01 6.664745280713e+00 6.011017114432e+00 1.105428735000e+00 9.970000000000e-01 3.606780015000e+00 3.253000000000e+00 1.257923838051e+00 1.134537240464e+00 3.015813600000e-01 2.720000000000e-01 7.761285000000e-03 7.000000000000e-03 8.007637093756e-02 7.222188034107e-02 1.489057965000e+00 1.343000000000e+00 4.270333573966e-01 3.851467252879e-01 3.293296324946e-01 2.970265139680e-01 4.684387494462e+00 4.224907661713e+00 1.874846266603e+00 1.690947293679e+00 3.139950310626e-02 2.831960451701e-02 1.707482700000e-01 1.540000000000e-01 1.536606029847e-01 1.385884194296e-01 2.513606763551e+00 2.267053373875e+00 3.104514000000e+00 2.800000000000e+00 + 6 HQP_YQQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 1.107734945400e+02 9.721701421764e-01 3.232600824888e-01 2.915523109152e-01 4.601333250000e-01 4.150000000000e-01 4.102393500000e-02 3.700000000000e-02 1.510838889017e-01 1.362644487752e-01 2.987472399736e-02 2.694438717061e-02 6.874281000000e-02 6.200000000000e-02 1.518012744192e-01 1.369114677447e-01 4.646649210178e-01 4.190871031182e-01 5.761259979438e-03 5.196152422707e-03 2.097862909508e-02 1.892088792842e-02 3.910578885000e+00 3.527000000000e+00 8.368713516540e-02 7.547847375245e-02 6.947878537536e-02 6.266378539476e-02 4.435020000000e-03 4.000000000000e-03 6.741583715217e-01 6.080318659413e-01 2.583399150000e-01 2.330000000000e-01 9.326073061009e-03 8.411301920630e-03 0.000000000000e+00 0.000000000000e+00 5.615849547628e-01 5.065004935832e-01 4.545895500000e-01 4.100000000000e-01 1.541169450000e-01 1.390000000000e-01 5.322024000000e-02 4.800000000000e-02 1.067732216355e+00 9.630010384210e-01 9.978795000000e-02 9.000000000000e-02 3.030371634913e-02 2.733130073743e-02 3.104514000000e+00 2.800000000000e+00 1.995230654505e+00 1.799523478591e+00 2.128484744647e-01 1.919707008895e-01 3.440715270077e-02 3.103224129837e-02 7.539949771661e-01 6.800374989660e-01 1.337158530000e+00 1.206000000000e+00 5.804464796342e-01 5.235119387368e-01 1.296579822614e-02 1.169401556353e-02 0.000000000000e+00 0.000000000000e+00 2.592566990747e-02 2.338268590218e-02 2.011802262942e-01 1.814469619476e-01 3.902817600000e-01 3.520000000000e-01 9.844475430534e-01 8.878855500570e-01 8.870040000000e-03 8.000000000000e-03 1.518994350000e-01 1.370000000000e-01 6.664745280713e+00 6.011017114432e+00 1.105428735000e+00 9.970000000000e-01 3.606780015000e+00 3.253000000000e+00 1.257923838051e+00 1.134537240464e+00 3.015813600000e-01 2.720000000000e-01 7.761285000000e-03 7.000000000000e-03 8.007637093756e-02 7.222188034107e-02 1.489057965000e+00 1.343000000000e+00 4.270333573966e-01 3.851467252879e-01 3.293296324946e-01 2.970265139680e-01 4.684387494462e+00 4.224907661713e+00 1.874846266603e+00 1.690947293679e+00 3.139950310626e-02 2.831960451701e-02 1.707482700000e-01 1.540000000000e-01 1.536606029847e-01 1.385884194296e-01 2.513606763551e+00 2.267053373875e+00 3.104514000000e+00 2.800000000000e+00 + 7 HQP_YQQ 4.500000000000e-01 3.003289000000e+04 8.000000000000e+03 1.020433727500e+02 8.427346701442e-01 2.821723430667e-01 2.774828823549e-01 4.372670000000e-01 4.300000000000e-01 5.287880000000e-02 5.200000000000e-02 2.400487169964e-01 2.360593145800e-01 3.189890656809e-02 3.136877428272e-02 6.813230000000e-02 6.700000000000e-02 1.299962577870e-01 1.278358322224e-01 3.949275525689e-01 3.883641976290e-01 8.806612331084e-03 8.660254037844e-03 2.775131092485e-02 2.729010809799e-02 3.951673400000e+00 3.886000000000e+00 7.863076918224e-02 7.732399368889e-02 6.647096576798e-02 6.536627570850e-02 1.016900000000e-03 1.000000000000e-03 6.178173836863e-01 6.075497921981e-01 2.389715000000e-01 2.350000000000e-01 1.089317785348e-02 1.071214264281e-02 0.000000000000e+00 0.000000000000e+00 5.145514000000e-01 5.060000000000e-01 4.077769000000e-01 4.010000000000e-01 1.718561000000e-01 1.690000000000e-01 5.389570000000e-02 5.300000000000e-02 9.736820155091e-01 9.575002610966e-01 9.253790000000e-02 9.100000000000e-02 4.257642627476e-02 4.186884283092e-02 2.847320000000e+00 2.800000000000e+00 1.889981010748e+00 1.858571158175e+00 1.896893325561e-01 1.865368596283e-01 2.952514469448e-02 2.903446228192e-02 6.699966635853e-01 6.588618975172e-01 1.237567300000e+00 1.217000000000e+00 5.110048978534e-01 5.025124376570e-01 1.118590000000e-02 1.100000000000e-02 0.000000000000e+00 0.000000000000e+00 3.962975548988e-02 3.897114317030e-02 1.706968957918e-01 1.678600607649e-01 2.908334000000e-01 2.860000000000e-01 9.116511335750e-01 8.965002788622e-01 1.016900000000e-03 1.000000000000e-03 8.338580000000e-02 8.200000000000e-02 6.249361804368e+00 6.145502806931e+00 1.031136600000e+00 1.014000000000e+00 3.891676300000e+00 3.827000000000e+00 1.155787599687e+00 1.136579407697e+00 2.145659000000e-01 2.110000000000e-01 9.152100000000e-03 9.000000000000e-03 7.704821195594e-02 7.576773719731e-02 1.358578400000e+00 1.336000000000e+00 3.911097740249e-01 3.846098672681e-01 2.888510670249e-01 2.840506116874e-01 4.301392611172e+00 4.229907179833e+00 1.697279822126e+00 1.669072496928e+00 1.577834308815e-02 1.551612064918e-02 1.454167000000e-01 1.430000000000e-01 1.344184486673e-01 1.321845301085e-01 2.289045965789e+00 2.251003998219e+00 2.847320000000e+00 2.800000000000e+00 + 8 HQP_YQQ 7.500000000000e-01 3.003289000000e+04 8.000000000000e+03 8.459878638750e+01 8.195103843123e-01 2.241957281200e-01 2.654067632899e-01 3.260638500000e-01 3.860000000000e-01 1.106589750000e-01 1.310000000000e-01 3.661480950910e-01 4.334524195341e-01 1.941030272639e-02 2.297825058615e-02 3.463372500000e-02 4.100000000000e-02 1.383306504799e-01 1.637582059013e-01 2.743324909544e-01 3.247595264192e-01 9.510193019754e-03 1.125833024920e-02 1.682572611187e-02 1.991858428704e-02 3.070575375000e+00 3.635000000000e+00 5.873572834583e-02 6.953236656407e-02 1.038771353287e-01 1.229715414232e-01 2.926213236847e-03 3.464101615138e-03 5.284934724836e-01 6.256396726551e-01 2.018892750000e-01 2.390000000000e-01 1.243640625660e-02 1.472243186434e-02 0.000000000000e+00 0.000000000000e+00 4.324992000000e-01 5.120000000000e-01 2.855170500000e-01 3.380000000000e-01 1.571188500000e-01 1.860000000000e-01 4.054680000000e-02 4.800000000000e-02 7.851721146987e-01 9.295002689618e-01 5.659657500000e-02 6.700000000000e-02 2.492654515848e-02 2.950847335936e-02 2.365230000000e+00 2.800000000000e+00 1.585131976949e+00 1.876506528099e+00 1.364871460285e-01 1.615758335891e-01 2.461326301927e-02 2.913760456867e-02 5.523106365124e-01 6.538348415311e-01 1.057595700000e+00 1.252000000000e+00 4.350481369340e-01 5.150174754317e-01 1.817140722902e-02 2.151162476430e-02 0.000000000000e+00 0.000000000000e+00 3.145679229611e-02 3.723909236273e-02 1.420394475022e-01 1.681487436765e-01 2.255415750000e-01 2.670000000000e-01 7.565363655199e-01 8.956007760157e-01 0.000000000000e+00 0.000000000000e+00 2.449702500000e-02 2.900000000000e-02 5.582844721626e+00 6.609067710351e+00 8.607747750000e-01 1.019000000000e+00 3.609509925000e+00 4.273000000000e+00 9.796117979538e-01 1.159681313982e+00 1.875289500000e-01 2.220000000000e-01 2.111812500000e-02 2.500000000000e-02 5.110935297998e-02 6.050413209030e-02 1.109968650000e+00 1.314000000000e+00 2.998797544976e-01 3.550028168902e-01 2.306099250000e-01 2.730000000000e-01 3.570574411602e+00 4.226907468824e+00 1.431952894615e+00 1.695170492900e+00 1.755727942108e-02 2.078460969083e-02 1.436032500000e-01 1.700000000000e-01 1.163353785658e-01 1.377198242810e-01 1.914596139900e+00 2.266531877120e+00 2.365230000000e+00 2.800000000000e+00 + 9 HQP_YQQ 1.100000000000e+00 3.003289000000e+04 8.000000000000e+03 5.851309180000e+01 6.793406919305e-01 1.484417834231e-01 2.527765811937e-01 2.102337100000e-01 3.580000000000e-01 3.047801550000e-01 5.190000000000e-01 4.413195014134e-01 7.515083166539e-01 2.779970939319e-02 4.733920151418e-02 5.872450000000e-03 1.000000000000e-02 1.497566864030e-01 2.550156857921e-01 1.652849536798e-01 2.814582562299e-01 2.135990170631e-02 3.637306695895e-02 1.579023074208e-02 2.688865931950e-02 2.154014660000e+00 3.668000000000e+00 4.365407276622e-02 7.433707016018e-02 9.832452617817e-02 1.674335689162e-01 1.525707264736e-03 2.598076211353e-03 3.835285360872e-01 6.530980018343e-01 1.497474750000e-01 2.550000000000e-01 1.038527466201e-02 1.768473918383e-02 0.000000000000e+00 0.000000000000e+00 3.162317051299e-01 5.385004642524e-01 1.726500300000e-01 2.940000000000e-01 1.632541100000e-01 2.780000000000e-01 3.171123000000e-02 5.400000000000e-02 5.352739785655e-01 9.115002742731e-01 5.226480500000e-02 8.900000000000e-02 1.118851994140e-02 1.905255888326e-02 1.644286000000e+00 2.800000000000e+00 1.150798354285e+00 1.959656283638e+00 1.106964613368e-01 1.885013262553e-01 2.140022626874e-02 3.644173431658e-02 3.846965753690e-01 6.550870171206e-01 7.833848300000e-01 1.334000000000e+00 3.228089290391e-01 5.497006003271e-01 1.373450433921e-02 2.338803112705e-02 0.000000000000e+00 0.000000000000e+00 1.779991808859e-02 3.031088913246e-02 1.335988828226e-01 2.275010988984e-01 1.703010500000e-01 2.900000000000e-01 5.341072370085e-01 9.095134688392e-01 8.221430000000e-03 1.400000000000e-02 4.874133500000e-02 8.300000000000e-02 4.389463493186e+00 7.474671547968e+00 5.749128550000e-01 9.790000000000e-01 2.371882555000e+00 4.039000000000e+00 7.318279139225e-01 1.246205440527e+00 9.983165000000e-02 1.700000000000e-01 4.110715000000e-03 7.000000000000e-03 3.630841378790e-02 6.182839153657e-02 7.528480900000e-01 1.282000000000e+00 2.357967840079e-01 4.015305094261e-01 2.080190562207e-01 3.542287396584e-01 2.485465605872e+00 4.232416803671e+00 1.037727051620e+00 1.767110918986e+00 1.861436969931e-02 3.169779172119e-02 1.127510400000e-01 1.920000000000e-01 6.931481375167e-02 1.180338934374e-01 1.399410995761e+00 2.383010490955e+00 1.644286000000e+00 2.800000000000e+00 + 10 HQP_YQQ 1.900000000000e+00 3.003289000000e+04 8.000000000000e+03 1.652091845000e+01 3.000819248883e-01 3.396338255758e-02 2.050384110356e-01 6.112263600000e-02 3.690000000000e-01 2.118586760000e-01 1.279000000000e+00 1.974644618177e-01 1.192101505745e+00 1.254609788328e-02 7.574133613820e-02 5.797540000000e-03 3.500000000000e-02 6.083646586221e-02 3.672723784877e-01 3.041180534071e-02 1.835973856023e-01 6.900036966453e-02 4.165582192203e-01 1.470784407922e-02 8.879189152169e-02 9.989989640000e-01 6.031000000000e+00 1.115455846477e-02 6.734055241829e-02 5.412904027692e-02 3.267793598133e-01 1.524914741510e-03 9.205976319761e-03 9.078772202541e-02 5.480894087647e-01 5.284043600000e-02 3.190000000000e-01 5.020816919456e-03 3.031088913246e-02 0.000000000000e+00 0.000000000000e+00 9.267789201427e-02 5.595004468273e-01 3.892634000000e-02 2.350000000000e-01 1.351655040000e-01 8.160000000000e-01 8.447844000000e-03 5.100000000000e-02 1.468434527129e-01 8.865002820079e-01 1.292023200000e-02 7.800000000000e-02 7.205037995772e-03 4.349712634186e-02 4.638032000000e-01 2.800000000000e+00 3.489561549462e-01 2.106663416400e+00 3.000443428267e-02 1.811380688867e-01 7.868961762232e-03 4.750526286634e-02 1.047082355377e-01 6.321281515642e-01 2.544291840000e-01 1.536000000000e+00 9.245339396997e-02 5.581451424137e-01 6.839211887432e-03 4.128861828640e-02 0.000000000000e+00 0.000000000000e+00 9.611278102959e-03 5.802370205356e-02 4.499270370724e-02 2.716229003600e-01 3.064414000000e-02 1.850000000000e-01 1.501574280530e-01 9.065068946235e-01 6.625760000000e-04 4.000000000000e-03 3.909198400000e-01 2.360000000000e+00 1.553508207209e+00 9.378596310216e+00 1.552084280000e-01 9.370000000000e-01 5.524227400000e-01 3.335000000000e+00 2.204822442835e-01 1.331060855108e+00 5.482816400000e-02 3.310000000000e-01 1.209201200000e-02 7.300000000000e-02 1.259112333768e-02 7.601315675592e-02 2.111961000000e-01 1.275000000000e+00 6.459579758385e-02 3.899676268615e-01 6.195085600000e-02 3.740000000000e-01 7.025684181039e-01 4.241435959672e+00 3.007409377210e-01 1.815586062405e+00 6.464361886755e-03 3.902563260218e-02 4.853369200000e-02 2.930000000000e-01 1.538439550430e-02 9.287626176801e-02 4.070479789357e-01 2.457366273066e+00 4.638032000000e-01 2.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat b/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat new file mode 100644 index 0000000000..3ccd0ef98a --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat @@ -0,0 +1,77 @@ +CDFR2KT 25 76 + 1 JET 5.000000000000e-02 3.364000000000e+03 1.960000000000e+03 1.233177570093e+01 4.248088360238e-01 7.145284621920e-01 5.800000000000e+00 1.093032151633e+00 8.872405810151e+00 4.575483425440e-01 3.714030339133e+00 1.839876932981e-01 1.493472517323e+00 1.634101223371e-01 1.326439406833e+00 2.240482034430e-01 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.576887876702e-01 2.903446228192e+00 1.010195412065e+00 8.200000000000e+00 1.847918436703e-01 1.500000000000e+00 2.157664047392e-01 1.751427988814e+00 1.297886639203e+00 1.053525913339e+01 + 2 JET 5.000000000000e-02 4.489000000000e+03 1.960000000000e+03 5.839160839161e+00 6.993006993007e-02 3.386713286713e-01 5.800000000000e+00 5.085990844873e-01 8.710140009782e+00 1.984776915072e-01 3.399079028207e+00 9.078098958143e-02 1.554692396424e+00 1.076967019258e-01 1.844386631783e+00 1.121666168865e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.695368951427e-01 2.903446228192e+00 4.145804195804e-01 7.100000000000e+00 8.174825174825e-02 1.400000000000e+00 9.060112407040e-02 1.551612064918e+00 4.951036725512e-01 8.479020979021e+00 + 3 JET 5.000000000000e-02 6.006250000000e+03 1.960000000000e+03 2.564789991063e+00 4.468275245755e-02 1.487578194817e-01 5.800000000000e+00 2.190701588549e-01 8.541446263368e+00 7.773457249691e-02 3.030835770872e+00 4.142594772562e-02 1.615178937456e+00 5.994578317943e-02 2.337258933024e+00 5.142387942095e-02 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.568303712365e-02 2.950847335936e+00 1.590169794459e-01 6.200000000000e+00 3.334226988382e-02 1.300000000000e+00 3.467212845870e-02 1.351850583460e+00 1.764868894655e-01 6.881143878463e+00 + 4 JET 5.000000000000e-02 8.010250000000e+03 1.960000000000e+03 1.129326047359e+00 1.821493624772e-02 6.550091074681e-02 5.800000000000e+00 9.519807476922e-02 8.429635975533e+00 3.073659813177e-02 2.721676189410e+00 1.846330373887e-02 1.634895766555e+00 3.212401401966e-02 2.844529628515e+00 2.429363816733e-02 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.275045537341e-02 2.900000000000e+00 6.098360655738e-02 5.400000000000e+00 1.242258652095e-02 1.100000000000e+00 1.364569854941e-02 1.208304597359e+00 6.274033596438e-02 5.555555555556e+00 + 5 JET 5.000000000000e-02 1.060900000000e+04 1.960000000000e+03 4.905498614958e-01 1.015697137581e-02 2.843767313019e-02 5.800000000000e+00 4.120633723851e-02 8.404230363335e+00 1.217459963865e-02 2.483068061894e+00 7.913489765123e-03 1.613994240231e+00 1.676348719476e-02 3.418993715993e+00 1.103730244130e-02 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.421883656510e-02 2.900000000000e+00 2.304432132964e-02 4.700000000000e+00 4.903047091413e-03 1.000000000000e+00 5.159860161819e-03 1.052378258992e+00 2.218368490113e-02 4.524469067405e+00 + 6 JET 5.000000000000e-02 1.404225000000e+04 1.960000000000e+03 2.181925233645e-01 5.607476635514e-03 1.262990654206e-02 5.800000000000e+00 1.843792149533e-02 8.467200000000e+00 4.844222429907e-03 2.224600000000e+00 3.499790654206e-03 1.607200000000e+00 8.941538317757e-03 4.106200000000e+00 5.235233570617e-03 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.425676909094e-03 2.950847335936e+00 9.145794392523e-03 4.200000000000e+00 1.959813084112e-03 9.000000000000e-01 2.074414121401e-03 9.526279441629e-01 7.936937723819e-03 3.644859813084e+00 + 7 JET 5.000000000000e-02 1.863225000000e+04 1.960000000000e+03 8.865509433962e-02 1.132075471698e-03 5.121509433962e-03 5.800000000000e+00 7.667887198036e-03 8.683718408032e+00 1.819190319819e-03 2.060194165607e+00 1.373488691463e-03 1.555446595033e+00 4.338768912768e-03 4.913563084972e+00 2.259476022770e-03 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.651998366594e-03 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.443438762908e-07 6.001666435249e+00 3.126582278481e-08 1.300000000000e+00 7.455696202532e-08 3.100000000000e+00 1.020381937408e-08 4.242640687119e-01 2.341833779103e-09 9.737098344693e-02 + 17 JET 5.000000000000e-02 3.763822500000e+05 1.960000000000e+03 2.193318713450e-07 9.259259259259e-08 1.204093567251e-08 5.800000000000e+00 5.415936043715e-08 2.608802995705e+01 3.405229249043e-09 1.640265356581e+00 4.053844344098e-09 1.952696853073e+00 6.015905006642e-08 2.897802129960e+01 1.455883100412e-08 7.012845356915e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.525947804389e-08 7.350340128185e+00 2.283625730994e-09 1.100000000000e+00 1.473976608187e-08 7.100000000000e+00 8.807821309517e-10 4.242640687119e-01 1.214048767142e-09 5.847953216374e-01 + 18 JET 4.000000000000e-01 3.364000000000e+03 1.960000000000e+03 1.177272727273e+01 1.683501683502e-01 6.835016835017e-01 5.800000000000e+00 1.005641787859e+00 8.533588885545e+00 4.209663298014e-01 3.572199998600e+00 1.692774659519e-01 1.436440211077e+00 1.503451177862e-01 1.275785713786e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.780620420807e-01 2.359555042799e+00 6.245791245791e-01 5.300000000000e+00 7.070707070707e-02 6.000000000000e-01 1.885521885522e-01 1.600000000000e+00 1.388747179993e+00 1.178451178451e+01 + 19 JET 4.000000000000e-01 4.489000000000e+03 1.960000000000e+03 5.314074394464e+00 1.038062283737e-01 3.080622837370e-01 5.800000000000e+00 4.432747380717e-01 8.345693765649e+00 1.729852636377e-01 3.256856103668e+00 7.912110069794e-02 1.489641570144e+00 9.386416293979e-02 1.767214533524e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.200368871854e-01 2.259977875998e+00 2.496366782007e-01 4.700000000000e+00 3.186851211073e-02 6.000000000000e-01 7.710709273831e-02 1.451723114096e+00 5.191957711234e-01 9.775086505190e+00 + 20 JET 4.000000000000e-01 6.006250000000e+03 1.960000000000e+03 2.385022143490e+00 1.771479185120e-02 1.381930912312e-01 5.800000000000e+00 1.961386080592e-01 8.231988420030e+00 6.959757060164e-02 2.921028149043e+00 3.708961442721e-02 1.556660769082e+00 5.367085381819e-02 2.252579701143e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.384712565487e-02 2.259977875998e+00 9.768821966342e-02 4.100000000000e+00 1.191319751993e-02 5.000000000000e-01 3.097431355182e-02 1.300000000000e+00 1.920462310564e-01 8.060230292294e+00 + 21 JET 4.000000000000e-01 8.010250000000e+03 1.960000000000e+03 1.030424187726e+00 9.025270758123e-03 5.967509025271e-02 5.800000000000e+00 8.403786381739e-02 8.167890623656e+00 2.713330132221e-02 2.637166479387e+00 1.629882336369e-02 1.584131253243e+00 2.835806839578e-02 2.756205244081e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.222835142467e-02 2.160439770047e+00 3.806859205776e-02 3.700000000000e+00 5.144404332130e-03 5.000000000000e-01 1.185447583832e-02 1.152171862180e+00 6.778727730063e-02 6.588447653430e+00 + 22 JET 4.000000000000e-01 1.060900000000e+04 1.960000000000e+03 4.506651376147e-01 3.669724770642e-03 2.607339449541e-02 5.800000000000e+00 3.682872233355e-02 8.192511702769e+00 1.088121341673e-02 2.420514821273e+00 7.072788720874e-03 1.573334633827e+00 1.498259385842e-02 3.332862715444e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.461749484519e-03 2.104756517985e+00 1.483486238532e-02 3.300000000000e+00 2.247706422018e-03 5.000000000000e-01 4.730874742260e-03 1.052378258992e+00 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1.609302325581e-03 1.000000000000e+00 7.036019469984e-03 4.372093023256e+00 + 41 JET 9.000000000000e-01 1.863225000000e+04 1.960000000000e+03 6.451268796992e-02 4.699248120301e-04 3.723120300752e-03 5.800000000000e+00 6.014407792475e-03 9.369443471733e+00 1.426905763339e-03 2.222881013460e+00 1.077313851321e-03 1.678275165162e+00 3.403170245564e-03 5.301571217102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.668984962406e-03 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.056140351355e-03 3.203123475609e+00 2.054135338346e-03 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6.218930867900e-07 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.139945654159e-07 6.606057825965e+00 1.837390457644e-07 1.700000000000e+00 3.242453748783e-07 3.000000000000e+00 6.484907497566e-08 6.000000000000e-01 1.052403034334e-08 9.737098344693e-02 + 49 JET 9.000000000000e-01 1.819022500000e+05 1.960000000000e+03 1.578512195122e-06 1.951219512195e-07 8.657560975610e-08 5.800000000000e+00 3.809096341172e-07 2.551845588040e+01 3.192595199248e-08 2.138830117143e+00 3.522863668136e-08 2.360088405124e+00 3.946708203209e-07 2.644036541365e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.518525032059e-02 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 1.008961635477e-01 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.145960130461e-01 2.950847335936e+00 2.485436893204e-01 6.400000000000e+00 4.271844660194e-02 1.100000000000e+00 6.025677922013e-02 1.551612064918e+00 3.461897702637e-01 8.914386584289e+00 + 53 JET 1.350000000000e+00 6.006250000000e+03 1.960000000000e+03 1.618505850585e+00 5.400540054005e-02 9.501350135014e-02 5.800000000000e+00 1.407400838684e-01 8.591331493284e+00 4.994002975975e-02 3.048536981488e+00 2.661380896288e-02 1.624612184492e+00 3.851174708746e-02 2.350909396383e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.095409540954e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 4.256074441641e-02 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.750675067507e-02 2.900000000000e+00 9.992799279928e-02 6.100000000000e+00 1.474347434743e-02 9.000000000000e-01 2.214552710978e-02 1.351850583460e+00 1.194340856228e-01 7.290729072907e+00 + 54 JET 1.350000000000e+00 8.010250000000e+03 1.960000000000e+03 6.517138939671e-01 3.382084095064e-02 3.827787934186e-02 5.800000000000e+00 5.889228136185e-02 8.923567286685e+00 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5.800000000000e+00 2.599026078940e-02 9.419289145153e+00 7.678940687778e-03 2.782971792886e+00 4.991311447056e-03 1.808931665376e+00 1.057331063933e-02 3.831938084051e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.174074074074e-03 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 7.168765842438e-03 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.142152834342e-03 2.950847335936e+00 1.545185185185e-02 5.600000000000e+00 1.655555555556e-03 6.000000000000e-01 3.179140878979e-03 1.152171862180e+00 1.328532235940e-02 4.814814814815e+00 + 56 JET 1.350000000000e+00 1.404225000000e+04 1.960000000000e+03 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1.350000000000e+00 1.863225000000e+04 1.960000000000e+03 3.821246458924e-02 3.777148253069e-04 2.245514636449e-03 5.800000000000e+00 4.145205987885e-03 1.070676375895e+01 9.834415155124e-04 2.540157475433e+00 7.424983442119e-04 1.917818893952e+00 2.345508014497e-03 6.058275578909e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.142443255650e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 1.005865199863e-03 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278793063572e-03 3.303028912983e+00 2.013220018886e-03 5.200000000000e+00 1.161473087819e-04 3.000000000000e-01 4.074363420084e-04 1.052378258992e+00 1.242999212648e-03 3.210576015109e+00 + 58 JET 1.350000000000e+00 2.480625000000e+04 1.960000000000e+03 1.306679352997e-02 1.902949571836e-04 7.670789724072e-04 5.800000000000e+00 1.558312628407e-03 1.178263721191e+01 3.264674446845e-04 2.468469671679e+00 2.676273819797e-04 2.023571068063e+00 9.983829994421e-04 7.548924693624e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364414843007e-04 3.300000000000e+00 0.000000000000e+00 0.000000000000e+00 3.436085569725e-04 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.897007978761e-04 3.702701716315e+00 6.612749762131e-04 5.000000000000e+00 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2.370441533236e-01 3.700000000000e+00 1.281319747695e-01 2.000000000000e+00 1.150981278248e-01 1.796555903112e+00 1.281319747695e-02 2.000000000000e-01 3.843959243086e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.609898107715e-02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.406598738476e-03 1.000000000000e-01 1.729781659389e-01 2.700000000000e+00 1.281319747695e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.921979621543e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.281319747695e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.969238233867e-02 1.400000000000e+00 6.406598738476e-03 1.000000000000e-01 1.333214007170e-07 2.081001263843e-06 3.591701069653e-05 5.606252578427e-04 7.307016432779e-04 1.140545355041e-02 -4.389487808960e-03 -6.851510431889e-02 -4.242392378786e-03 -6.621910551861e-02 2.777154684507e-02 4.334834750658e-01 4.308383451019e-02 6.724915398780e-01 -1.489456501336e-01 -2.324878710432e+00 -1.550144343286e-01 -2.419605794844e+00 4.303720575773e-02 6.717637160457e-01 -2.629657153477e-02 -4.104607235169e-01 6.820774345163e-03 1.064648282746e-01 -2.150697567675e-03 -3.357003701134e-02 3.981610833496e-04 6.214859078942e-03 -1.579174309838e-04 -2.464918397892e-03 6.447685929338e-05 1.006413261161e-03 -8.410838894671e-07 -1.312839969851e-05 -1.122274309008e-05 -1.751747463545e-04 -4.079523362717e-06 -6.367689829263e-05 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.553935860058e-02 1.800000000000e+00 3.085519922255e-03 1.000000000000e-01 1.155524490029e-06 3.744991181858e-05 6.552311951683e-06 2.123568188435e-04 2.425861772747e-04 7.862084296556e-03 -3.987032052801e-04 -1.292175112546e-02 -1.282398196861e-03 -4.156181872660e-02 -3.787782863307e-03 -1.227599548455e-01 2.409949388238e-02 7.810513135425e-01 1.854229269819e-02 6.009454861871e-01 -1.064835589564e-01 -3.451073454052e+00 -9.628040732970e-02 -3.120394933615e+00 3.485859490100e-02 1.129747847343e+00 -1.593609667195e-02 -5.164801094626e-01 4.782294167732e-03 1.549915180660e-01 -9.907120101490e-04 -3.210843018719e-02 3.905123733146e-04 1.265629077609e-02 -1.663358500016e-04 -5.390853217374e-03 2.338121869599e-06 7.577724106510e-05 2.940761679995e-05 9.530846515639e-04 1.090609979477e-05 3.534606831124e-04 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.236044812470e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.236044812470e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.490696541646e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.490696541646e-03 2.000000000000e-01 1.490696541646e-02 2.000000000000e+00 1.490696541646e-03 2.000000000000e-01 -2.248470239416e-09 -3.016670632284e-07 -3.787241508543e-11 -5.081170315671e-09 -9.360956821108e-07 -1.255917158132e-04 3.017066425878e-06 4.047861307233e-04 2.261165554046e-05 3.033703360643e-03 3.940651784490e-05 5.286993931224e-03 -1.789119829861e-03 -2.400381002944e-01 6.436050503064e-05 8.634957314593e-03 1.358045562858e-02 1.822028192751e+00 2.288129197531e-03 3.069879259268e-01 -4.939815901791e-02 -6.627527150946e+00 -4.190932064738e-02 -5.622783641947e+00 1.542078299442e-02 2.068936576105e+00 -4.962124255647e-03 -6.657457258426e-01 1.999692358303e-03 2.682896622400e-01 -1.006279603918e-03 -1.350079745682e-01 1.709466380571e-05 2.293513579474e-03 1.864939519216e-04 2.502104844433e-02 7.237269933030e-05 9.709917117050e-03 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.900000000000e+00 6.424951267057e-04 2.000000000000e-01 6.424951267057e-04 2.000000000000e-01 1.284990253411e-03 4.000000000000e-01 7.067446393762e-03 2.200000000000e+00 6.424951267057e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.424951267057e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.424951267057e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.637426900585e-04 3.000000000000e-01 6.424951267057e-03 2.000000000000e+00 3.212475633528e-04 1.000000000000e-01 -8.699408581027e-10 -2.708007646885e-07 2.866242847370e-09 8.922224397458e-07 -3.813018472769e-08 -1.186940823137e-05 -1.165217650605e-06 -3.627164167234e-04 1.607184775007e-06 5.002947752296e-04 1.046954895784e-04 3.259028286028e-02 -4.895033378025e-05 -1.523757356145e-02 -1.420425921852e-03 -4.421592827124e-01 3.116906198957e-04 9.702505340199e-02 9.830948692654e-03 3.060240703478e+00 2.266718077793e-03 7.055985278566e-01 -3.464909068569e-02 -1.078579097194e+01 -2.690876281852e-02 -8.376332115231e+00 5.700591198671e-03 1.774516556382e+00 -4.253243248190e-03 -1.323976812088e+00 2.195470840552e-03 6.834202313125e-01 -4.473377107502e-05 -1.392501490381e-02 -4.506041762972e-04 -1.402669553644e-01 -1.781133491160e-04 -5.544426462167e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.200364365696e-03 1.956091478611e+00 4.499512195122e-04 4.000000000000e-01 1.012390243902e-03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.362243902439e-03 2.100000000000e+00 3.374634146341e-04 3.000000000000e-01 3.374634146341e-04 3.000000000000e-01 6.749268292683e-04 6.000000000000e-01 2.474731707317e-03 2.200000000000e+00 2.249756097561e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.249756097561e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.249756097561e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.499512195122e-04 4.000000000000e-01 2.699707317073e-03 2.400000000000e+00 2.249756097561e-04 2.000000000000e-01 -6.961746377816e-12 -6.188889884876e-09 2.112928130415e-10 1.878361954619e-07 2.178178619962e-08 1.936368677764e-05 -1.677208077143e-07 -1.491013251580e-04 -4.950679582732e-07 -4.401081155508e-04 6.633528500719e-06 5.897109031428e-03 5.614741967247e-05 4.991422824309e-02 -1.210291904513e-04 -1.075931658391e-01 -7.104648065089e-04 -6.315927377898e-01 6.938377484211e-04 6.168115283015e-01 4.563373101866e-03 4.056771404521e+00 -4.115552615282e-04 -3.658665594679e-01 -1.725058558157e-02 -1.533551623686e+01 -1.494979501655e-02 -1.329014734776e+01 6.205013898995e-03 5.516165868577e+00 -5.758841938925e-03 -5.119525574500e+00 1.413618976133e-04 1.256686427178e-01 1.206761381131e-03 1.072793075160e+00 5.225017581404e-04 4.644963591448e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 + 15 JET 2.500000000000e-01 1.701562500000e+05 2.760000000000e+03 7.948267447535e-02 0.000000000000e+00 2.940858955588e-03 3.700000000000e+00 7.948267447535e-04 1.000000000000e+00 1.591375148378e-03 2.002166080699e+00 3.974133723768e-04 5.000000000000e-01 7.948267447535e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.907584187408e-03 2.400000000000e+00 3.179306979014e-04 4.000000000000e-01 3.179306979014e-04 4.000000000000e-01 6.358613958028e-04 8.000000000000e-01 1.669136163982e-03 2.100000000000e+00 2.384480234261e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.948267447535e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.589653489507e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.768960468521e-04 6.000000000000e-01 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2.760000000000e+03 4.534829359514e+03 0.000000000000e+00 1.677886863020e+02 3.700000000000e+00 5.441795231417e+01 1.200000000000e+00 1.420763177048e+02 3.133002511036e+00 0.000000000000e+00 0.000000000000e+00 2.720897615708e+01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.709209911173e+01 1.700000000000e+00 2.720897615708e+01 6.000000000000e-01 3.627863487611e+01 8.000000000000e-01 4.988312295465e+01 1.100000000000e+00 2.448807854137e+02 5.400000000000e+00 1.360448807854e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.895278167368e+01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.534829359514e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.267414679757e+01 5.000000000000e-01 3.174380551660e+01 7.000000000000e-01 4.534829359514e+00 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2.175404213621e-03 1.000000000000e-01 2.175404213621e-03 1.000000000000e-01 2.175404213621e-03 1.000000000000e-01 5.656050955414e-02 2.600000000000e+00 4.350808427242e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.087702106810e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.175404213621e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.698187163155e-02 1.700000000000e+00 2.175404213621e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.561081352290e-02 -2.043335581108e-04 -9.392900723065e-03 7.300951366902e-05 3.356135526992e-03 2.196277379182e-06 1.009595074530e-04 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.034322359950e-02 9.813542688911e-01 1.053974484789e-03 1.000000000000e-01 7.377821393523e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.002551521099e-02 1.900000000000e+00 1.053974484789e-03 1.000000000000e-01 1.053974484789e-03 1.000000000000e-01 2.107948969578e-03 2.000000000000e-01 2.951128557409e-02 2.800000000000e+00 3.161923454367e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.269872423945e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.053974484789e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.053974484789e-03 1.000000000000e-01 2.107948969578e-02 2.000000000000e+00 1.053974484789e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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7.500000000000e-01 9.922500000000e+04 2.760000000000e+03 4.840864440079e-01 0.000000000000e+00 1.791119842829e-02 3.700000000000e+00 7.261296660118e-03 1.500000000000e+00 4.279742628753e-03 8.840864440079e-01 1.452259332024e-03 3.000000000000e-01 3.872691552063e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.681728880157e-03 2.000000000000e+00 4.840864440079e-04 1.000000000000e-01 4.840864440079e-04 1.000000000000e-01 1.452259332024e-03 3.000000000000e-01 1.258624754420e-02 2.600000000000e+00 1.936345776031e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.936345776031e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.840864440079e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.840864440079e-04 1.000000000000e-01 1.016581532417e-02 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1.699640762985e-09 7.804081571917e-07 -1.166224378733e-07 -5.354843435744e-05 -1.216054050484e-06 -5.583641680360e-04 8.524107810343e-06 3.913934881329e-03 8.624764614940e-05 3.960152525136e-02 -1.470892269153e-04 -6.753758501189e-02 -1.115307960604e-03 -5.121055279397e-01 6.796230163929e-04 3.120561458392e-01 7.809071960613e-03 3.585618555922e+00 -9.518389214616e-04 -4.370469777018e-01 -2.884978601053e-02 -1.324668649175e+01 -1.770594129788e-02 -8.129871512000e+00 7.715478586255e-03 3.542644161333e+00 -5.086745034480e-03 -2.335633155498e+00 2.131531597015e-03 9.787154331960e-01 -9.316910077016e-04 -4.277958485273e-01 -3.252502217767e-05 -1.493421031849e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 3.435317265125e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.145105755042e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.580423020167e-04 4.000000000000e-01 3.091785538613e-03 2.700000000000e+00 2.290211510084e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 34 JET 7.500000000000e-01 1.701562500000e+05 2.760000000000e+03 5.962598425197e-02 0.000000000000e+00 2.206161417323e-03 3.700000000000e+00 3.577559055118e-04 6.000000000000e-01 4.694959389919e-04 7.874015748032e-01 2.385039370079e-04 4.000000000000e-01 6.558858267717e-04 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 1.609901574803e-03 2.700000000000e+00 1.788779527559e-04 3.000000000000e-01 1.788779527559e-04 3.000000000000e-01 5.366338582677e-04 9.000000000000e-01 1.490649606299e-03 2.500000000000e+00 1.788779527559e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.192519685039e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.962598425197e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.577559055118e-04 6.000000000000e-01 1.788779527559e-03 3.000000000000e+00 1.192519685039e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.087149187592e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.335302806499e-04 2.700000000000e+00 1.234859675037e-04 4.000000000000e-01 1.234859675037e-04 4.000000000000e-01 3.087149187592e-04 1.000000000000e+00 6.483013293944e-04 2.100000000000e+00 1.234859675037e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.087149187592e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.087149187592e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.161004431315e-04 7.000000000000e-01 1.018759231905e-03 3.300000000000e+00 6.174298375185e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 5.909064039409e-04 3.700000000000e+00 2.235862068966e-04 1.400000000000e+00 1.101409886190e-04 6.896551724138e-01 1.117931034483e-04 7.000000000000e-01 1.756748768473e-04 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 4.631428571429e-04 2.900000000000e+00 9.582266009852e-05 6.000000000000e-01 7.985221674877e-05 5.000000000000e-01 1.916453201970e-04 1.200000000000e+00 3.034384236453e-04 1.900000000000e+00 6.388177339901e-05 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.597044334975e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.597044334975e-04 1.000000000000e+00 5.749359605911e-04 3.600000000000e+00 3.194088669951e-05 2.000000000000e-01 0.000000000000e+00 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-2.831713871891e-03 1.082643752328e-05 6.779046320871e-02 2.674629974052e-05 1.674737460619e-01 -1.178688244794e-04 -7.380435339085e-01 -3.563850597292e-04 -2.231528905769e+00 5.966301694703e-04 3.735839740977e+00 2.404973745697e-03 1.505890408317e+01 -1.493716096988e-03 -9.353003321670e+00 -7.829060018068e-03 -4.902218333337e+01 -3.408411459665e-03 -2.134199649328e+01 -3.555934514381e-04 -2.226572197469e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-3.361740119904e-12 -1.881017762791e-07 -5.567068538032e-12 -3.114980466429e-07 2.237420954908e-09 1.251919663303e-04 -1.047622440182e-09 -5.861834491647e-05 -1.345015262828e-07 -7.525857176242e-03 -5.999338962174e-08 -3.356851734623e-03 3.875037681740e-06 2.168226707258e-01 4.844851270716e-06 2.710873230307e-01 -4.238766613484e-05 -2.371746478879e+00 -7.515956474469e-05 -4.205455248945e+00 2.687967287572e-04 1.504016977335e+01 5.076013538412e-04 2.840217057050e+01 -8.307589060404e-04 -4.648402919686e+01 -1.739228323074e-03 -9.731624850718e+01 1.439633595428e-03 8.055281694373e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.760000000000e+03 1.118363370677e+00 0.000000000000e+00 4.137944471505e-02 3.700000000000e+00 1.901217730151e-02 1.700000000000e+00 2.234786519464e-02 1.998265123893e+00 4.473453482708e-03 4.000000000000e-01 8.946906965416e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.348563078422e-02 2.100000000000e+00 2.236726741354e-03 2.000000000000e-01 2.236726741354e-03 2.000000000000e-01 2.236726741354e-03 2.000000000000e-01 3.131417437896e-02 2.800000000000e+00 8.946906965416e-03 8.000000000000e-01 1.118363370677e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.591816853385e-03 5.000000000000e-01 5.591816853385e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.710180224062e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.946906965416e-03 8.000000000000e-01 2.348563078422e-02 2.100000000000e+00 3.355090112031e-03 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3.700000000000e+00 5.382891445723e-03 1.800000000000e+00 9.908642047185e-03 3.313378295805e+00 5.980990495248e-04 2.000000000000e-01 3.588594297149e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 8.971485742871e-03 3.000000000000e+00 2.990495247624e-04 1.000000000000e-01 2.990495247624e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.196198099050e-02 4.000000000000e+00 1.106483241621e-02 3.700000000000e+00 8.971485742871e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.775287643822e-03 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.990495247624e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.289544772386e-03 1.100000000000e+00 9.569584792396e-03 3.200000000000e+00 5.980990495248e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-1.684270362704e+02 1.615684076181e-03 9.564657958402e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 67 JET 2.250000000000e+00 6.241000000000e+03 2.760000000000e+03 1.635585156993e+03 0.000000000000e+00 6.051665080875e+01 3.700000000000e+00 3.434728829686e+01 2.100000000000e+00 2.964993578706e+01 1.812802938464e+00 0.000000000000e+00 0.000000000000e+00 9.813510941960e+00 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.944053282588e+01 1.800000000000e+00 1.144909609895e+01 7.000000000000e-01 1.308468125595e+01 8.000000000000e-01 1.799143672693e+01 1.100000000000e+00 9.322835394862e+01 5.700000000000e+00 5.560989533777e+01 3.400000000000e+00 6.542340627973e+00 4.000000000000e-01 3.271170313987e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.743196955281e+01 2.900000000000e+00 2.126260704091e+01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.144909609895e+01 7.000000000000e-01 4.906755470980e+00 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.196574690771e+01 4.400000000000e+00 1.144909609895e+01 7.000000000000e-01 4.906755470980e+00 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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JET 2.250000000000e+00 1.113025000000e+04 2.760000000000e+03 2.039404132629e+02 0.000000000000e+00 7.545795290726e+00 3.700000000000e+00 4.078808265257e+00 2.000000000000e+00 3.824557251673e+00 1.875330735328e+00 0.000000000000e+00 0.000000000000e+00 2.039404132629e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.486689091783e+00 2.200000000000e+00 1.019702066314e+00 5.000000000000e-01 1.019702066314e+00 5.000000000000e-01 2.243344545891e+00 1.100000000000e+00 1.223642479577e+01 6.000000000000e+00 8.361556943777e+00 4.100000000000e+00 1.223642479577e+00 6.000000000000e-01 4.078808265257e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.526093224411e+00 3.200000000000e+00 1.835463719366e+00 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.447284959154e+00 1.200000000000e+00 6.118212397886e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.157616530514e+00 4.000000000000e+00 2.855165785680e+00 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7.209946885563e-01 1.300000000000e+00 2.218445195558e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.218445195558e+00 4.000000000000e+00 1.109222597779e+00 2.000000000000e+00 3.327667793337e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.569607198877e-04 4.633167777185e-04 -1.038266422533e-05 -1.872061432235e-05 -5.433649211212e-06 -9.797220543635e-06 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 71 JET 2.250000000000e+00 2.044900000000e+04 2.760000000000e+03 1.866279069767e+01 0.000000000000e+00 6.905232558140e-01 3.700000000000e+00 4.479069767442e-01 2.400000000000e+00 4.011247316745e-01 2.149328780312e+00 0.000000000000e+00 0.000000000000e+00 2.612790697674e-01 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 5.038953488372e-01 2.700000000000e+00 1.306395348837e-01 7.000000000000e-01 1.493023255814e-01 8.000000000000e-01 2.052906976744e-01 1.100000000000e+00 1.101104651163e+00 5.900000000000e+00 9.518023255814e-01 5.100000000000e+00 1.866279069767e-01 1.000000000000e+00 1.866279069767e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.785465116279e-01 3.100000000000e+00 7.465116279070e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.172674418605e-01 1.700000000000e+00 1.866279069767e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.345348837209e-01 3.400000000000e+00 4.105813953488e-01 2.200000000000e+00 1.679651162791e-01 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.539915788021e-01 3.085761901914e+00 1.653430053362e+01 -1.018174704087e+00 -5.455640158970e+00 -4.650754188952e-01 -2.491992898753e+00 1.629857726216e-01 8.733194047013e-01 -9.972365170608e-04 -5.343448004189e-03 1.761932487947e-05 9.440884359095e-05 1.595406456305e-05 8.548595342194e-05 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 72 JET 2.250000000000e+00 2.673225000000e+04 2.760000000000e+03 4.482993197279e+00 0.000000000000e+00 1.658707482993e-01 3.700000000000e+00 1.479387755102e-01 3.300000000000e+00 1.061807839721e-01 2.368524316220e+00 0.000000000000e+00 0.000000000000e+00 6.724489795918e-02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 1.479387755102e-01 3.300000000000e+00 8.965986394558e-03 2.000000000000e-01 4.482993197279e-03 1.000000000000e-01 1.344897959184e-02 3.000000000000e-01 2.555306122449e-01 5.700000000000e+00 2.331156462585e-01 5.200000000000e+00 2.689795918367e-02 6.000000000000e-01 4.482993197279e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210408163265e-01 2.700000000000e+00 8.965986394558e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.621088435374e-02 1.700000000000e+00 8.965986394558e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.479387755102e-01 3.300000000000e+00 1.210408163265e-01 2.700000000000e+00 1.793197278912e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.592850128190e-03 8.014400134203e-02 -1.138690545251e-02 -2.540022915810e-01 -7.820851561776e-02 -1.744560211807e+00 2.165554720413e-02 4.830600059191e-01 -8.286470681614e-01 -1.848423657355e+01 -6.211848187414e-01 -1.385647471244e+01 -1.343353228986e-03 -2.996554243718e-02 -1.287948893846e-04 -2.872966424817e-03 -3.774915584906e-05 -8.420524901080e-04 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 73 JET 2.250000000000e+00 3.422500000000e+04 2.760000000000e+03 5.961013645224e-01 0.000000000000e+00 2.205575048733e-02 3.700000000000e+00 1.788304093567e-02 3.000000000000e+00 1.565456721113e-02 2.626158593627e+00 5.961013645224e-04 1.000000000000e-01 1.192202729045e-02 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.503625730994e-02 4.200000000000e+00 1.192202729045e-03 2.000000000000e-01 2.384405458090e-03 4.000000000000e-01 2.980506822612e-03 5.000000000000e-01 4.172709551657e-02 7.000000000000e+00 4.113099415205e-02 6.900000000000e+00 5.961013645224e-03 1.000000000000e+00 5.961013645224e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086354775828e-02 3.500000000000e+00 5.961013645224e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.430643274854e-02 2.400000000000e+00 5.961013645224e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.145964912281e-02 3.600000000000e+00 2.205575048733e-02 3.700000000000e+00 4.768810916179e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 2.872515876893e-03 3.700000000000e+00 2.717244748412e-03 3.500000000000e+00 2.199410554025e-03 2.832993584250e+00 2.329066927211e-04 3.000000000000e-01 1.630346849047e-03 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 3.493600390816e-03 4.500000000000e+00 7.763556424035e-05 1.000000000000e-01 7.763556424035e-05 1.000000000000e-01 1.552711284807e-04 2.000000000000e-01 5.822667318026e-03 7.500000000000e+00 6.521387396190e-03 8.400000000000e+00 9.316267708842e-04 1.200000000000e+00 7.763556424035e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.785617977528e-03 2.300000000000e+00 7.763556424035e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.707982413288e-03 2.200000000000e+00 7.763556424035e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.561973619932e-03 3.300000000000e+00 3.260693698095e-03 4.200000000000e+00 7.763556424035e-04 1.000000000000e+00 0.000000000000e+00 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1.307848526500e-02 4.373774469558e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 76 JET 2.750000000000e+00 6.241000000000e+03 2.760000000000e+03 3.935119887165e+02 0.000000000000e+00 1.455994358251e+01 3.700000000000e+00 1.455994358251e+01 3.700000000000e+00 1.720773202527e+01 4.372860934021e+00 0.000000000000e+00 0.000000000000e+00 3.148095909732e+00 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.657263751763e+00 2.200000000000e+00 3.541607898449e+00 9.000000000000e-01 4.328631875882e+00 1.100000000000e+00 5.509167842031e+00 1.400000000000e+00 3.226798307475e+01 8.200000000000e+00 2.321720733427e+01 5.900000000000e+00 0.000000000000e+00 0.000000000000e+00 5.115655853315e+00 1.300000000000e+00 7.870239774330e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.548519040903e+01 1.410000000000e+01 7.870239774330e-01 2.000000000000e-01 4.328631875882e+00 1.100000000000e+00 1.770803949224e+01 4.500000000000e+00 7.870239774330e-01 2.000000000000e-01 2.675881523272e+01 6.800000000000e+00 4.328631875882e+00 1.100000000000e+00 3.148095909732e+00 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 1.388939366298e+01 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.181541301338e+00 2.000000000000e-01 3.862664347615e+00 6.538348415311e-01 1.654157821874e+01 2.800000000000e+00 5.627846304187e+00 9.526279441629e-01 1.211800071719e+01 2.051219149677e+00 2.506427599285e+00 4.242640687119e-01 2.506427599285e+00 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 JET 2.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.906303171642e+02 2.614365671642e+00 6.390671641791e+00 2.200000000000e+00 2.904850746269e+00 1.000000000000e+00 2.438773947427e+00 8.395522388060e-01 7.700594415224e+00 2.650943228362e+00 8.133582089552e+00 2.800000000000e+00 5.087636900341e+00 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 6.390671641791e+00 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.809701492537e-01 2.000000000000e-01 1.742910447761e+00 6.000000000000e-01 7.262126865672e+00 2.500000000000e+00 2.477652082470e+00 8.529361054616e-01 5.519216417910e+00 1.900000000000e+00 1.437827762715e+00 4.949747468306e-01 1.437827762715e+00 4.949747468306e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 JET 2.500000000000e-01 4.326400000000e+04 7.000000000000e+03 1.515867294118e+02 1.514352941176e+00 3.331576470588e+00 2.200000000000e+00 1.514352941176e+00 1.000000000000e+00 1.073695417572e+00 7.090126669797e-01 3.711709642325e+00 2.451020195755e+00 4.240188235294e+00 2.800000000000e+00 2.725835294118e+00 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 3.028705882353e+00 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.511270253027e-01 1.658312395178e-01 8.397493288853e-01 5.545268253205e-01 3.483011764706e+00 2.300000000000e+00 1.140801381170e+00 7.533259586660e-01 2.725835294118e+00 1.800000000000e+00 8.566473870525e-01 5.656854249492e-01 8.566473870525e-01 5.656854249492e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 JET 2.500000000000e-01 5.405625000000e+04 7.000000000000e+03 8.106928909953e+01 8.904265402844e-01 1.780853080569e+00 2.200000000000e+00 8.094786729858e-01 1.000000000000e+00 4.603670178118e-01 5.687203791469e-01 1.984048575521e+00 2.451020195755e+00 2.307724177779e+00 2.850877058030e+00 1.538009478673e+00 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 1.538009478673e+00 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.094786729858e-02 1.000000000000e-01 4.047393364929e-01 5.000000000000e-01 1.699905213270e+00 2.100000000000e+00 5.292653598745e-01 6.538348415311e-01 1.376113744076e+00 1.700000000000e+00 5.151490730047e-01 6.363961030679e-01 5.151490730047e-01 6.363961030679e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 JET 2.500000000000e-01 6.682225000000e+04 7.000000000000e+03 4.387971374046e+01 5.698664122137e-01 9.643893129771e-01 2.200000000000e+00 4.383587786260e-01 1.000000000000e+00 2.091406386574e-01 4.770992366412e-01 1.010129300545e+00 2.304343724361e+00 1.271240458015e+00 2.900000000000e+00 8.767175572519e-01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.677538340277e-01 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.383587786260e-02 1.000000000000e-01 1.996819268253e-01 4.555216789572e-01 8.328816793893e-01 1.900000000000e+00 2.630152671756e-01 6.000000000000e-01 7.013740458015e-01 1.600000000000e+00 3.099664649591e-01 7.071067811865e-01 3.099664649591e-01 7.071067811865e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 JET 2.500000000000e-01 8.179600000000e+04 7.000000000000e+03 2.397361151079e+01 3.833860911271e-01 5.271558752998e-01 2.200000000000e+00 2.396163069544e-01 1.000000000000e+00 8.207207225069e-02 3.425145529277e-01 5.653878654113e-01 2.359555042799e+00 7.070711410233e-01 2.950847335936e+00 5.031942446043e-01 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 3.957297949463e-01 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.396163069544e-02 1.000000000000e-01 9.584652278177e-02 4.000000000000e-01 4.196707065762e-01 1.751427988814e+00 1.328736699905e-01 5.545268253205e-01 3.594244604317e-01 1.500000000000e+00 1.863777470834e-01 7.778174593052e-01 1.863777470834e-01 7.778174593052e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 JET 2.500000000000e-01 9.922500000000e+04 7.000000000000e+03 1.343345857418e+01 9.394026974952e-02 2.952408477842e-01 2.200000000000e+00 1.342003853565e-01 1.000000000000e+00 3.878623854233e-02 2.890173410405e-01 3.020999417918e-01 2.251110836898e+00 4.026011560694e-01 3.000000000000e+00 2.952408477842e-01 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 2.082269370358e-01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.342003853565e-02 1.000000000000e-01 5.368015414258e-02 4.000000000000e-01 2.147206165703e-01 1.600000000000e+00 6.710019267823e-02 5.000000000000e-01 1.878805394990e-01 1.400000000000e+00 1.138728030281e-01 8.485281374239e-01 1.138728030281e-01 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 JET 2.500000000000e-01 1.197160000000e+05 7.000000000000e+03 7.574088050314e+00 6.053217223029e-02 1.664634736333e-01 2.200000000000e+00 7.566521528786e-02 1.000000000000e+00 1.902118973065e-02 2.513861839723e-01 1.740299951621e-01 2.300000000000e+00 2.308409189646e-01 3.050819562019e+00 1.740299951621e-01 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134978229318e-01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.566521528786e-03 1.000000000000e-01 3.026608611514e-02 4.000000000000e-01 1.134978229318e-01 1.500000000000e+00 3.783260764393e-02 5.000000000000e-01 1.022880654345e-01 1.351850583460e+00 7.490474156198e-02 9.899494936612e-01 7.490474156198e-02 9.899494936612e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 JET 2.500000000000e-01 1.432622500000e+05 7.000000000000e+03 4.357839398350e+00 2.616011644833e-02 9.592042697720e-02 2.200000000000e+00 4.360019408054e-02 1.000000000000e+00 1.099239466774e-02 2.521180214802e-01 9.611840536528e-02 2.204540768505e+00 1.373752103242e-01 3.150793550838e+00 1.046404657933e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 6.104027171276e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.360019408054e-03 1.000000000000e-01 1.308005822416e-02 3.000000000000e-01 6.104027171276e-02 1.400000000000e+00 1.744007763222e-02 4.000000000000e-01 5.668025230471e-02 1.300000000000e+00 4.624498934310e-02 1.060660171780e+00 4.624498934310e-02 1.060660171780e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 JET 2.500000000000e-01 1.701562500000e+05 7.000000000000e+03 2.557299270073e+00 1.532846715328e-02 5.620437956204e-02 2.200000000000e+00 2.554744525547e-02 1.000000000000e+00 4.123177141827e-03 1.613929338372e-01 5.875912408759e-02 2.300000000000e+00 8.049472575133e-02 3.150793550838e+00 6.386861313869e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.453632877451e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.554744525547e-03 1.000000000000e-01 7.664233576642e-03 3.000000000000e-01 3.321167883212e-02 1.300000000000e+00 1.021897810219e-02 4.000000000000e-01 3.065693430657e-02 1.200000000000e+00 3.071011202963e-02 1.202081528017e+00 3.071011202963e-02 1.202081528017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 JET 2.500000000000e-01 2.016010000000e+05 7.000000000000e+03 1.488408787025e+00 1.038555392875e-02 3.264031234749e-02 2.200000000000e+00 1.483650561249e-02 1.000000000000e+00 2.401518902716e-03 1.618655339363e-01 3.339861856598e-02 2.251110836898e+00 4.823005458693e-02 3.250769139758e+00 3.933073408600e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 2.005673876875e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.483650561249e-03 1.000000000000e-01 4.450951683748e-03 3.000000000000e-01 1.780380673499e-02 1.200000000000e+00 5.934602244998e-03 4.000000000000e-01 1.709420429980e-02 1.152171862180e+00 1.942251024071e-02 1.309102746159e+00 1.942251024071e-02 1.309102746159e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 JET 2.500000000000e-01 2.376562500000e+05 7.000000000000e+03 8.554523227384e-01 6.843618581907e-03 1.881995110024e-02 2.200000000000e+00 8.554523227384e-03 1.000000000000e+00 1.387390895140e-03 1.621821413377e-01 1.925717994166e-02 2.251110836898e+00 2.866403607338e-02 3.350746185553e+00 2.353271442960e-02 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 1.112088019560e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.554523227384e-04 1.000000000000e-01 2.566356968215e-03 3.000000000000e-01 9.409975550122e-03 1.100000000000e+00 3.054575768433e-03 3.570714214271e-01 9.409975550122e-03 1.100000000000e+00 1.209792276780e-02 1.414213562373e+00 1.209792276780e-02 1.414213562373e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 JET 2.500000000000e-01 2.782562500000e+05 7.000000000000e+03 5.072870588235e-01 2.025098039216e-03 1.113803921569e-02 2.200000000000e+00 5.062745098039e-03 1.000000000000e+00 4.963475586313e-04 9.803921568627e-02 1.164431372549e-02 2.300000000000e+00 1.747013885890e-02 3.450724561596e+00 1.468196078431e-02 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 6.581568627451e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.062745098039e-04 1.000000000000e-01 1.315339760336e-03 2.598076211353e-01 5.327922871997e-03 1.052378258992e+00 1.518823529412e-03 3.000000000000e-01 5.327922871997e-03 1.052378258992e+00 7.875783058533e-03 1.555634918610e+00 7.875783058533e-03 1.555634918610e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 JET 2.500000000000e-01 3.249000000000e+05 7.000000000000e+03 3.028135493373e-01 1.511045655376e-03 6.648600883652e-03 2.200000000000e+00 3.022091310751e-03 1.000000000000e+00 2.569668971690e-04 8.502949472600e-02 6.803062499727e-03 2.251110836898e+00 1.073055217543e-02 3.550704155516e+00 9.219855289048e-03 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 3.783653493435e-03 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.022091310751e-04 1.000000000000e-01 6.044182621502e-04 2.000000000000e-01 3.022091310751e-03 1.000000000000e+00 9.066273932253e-04 3.000000000000e-01 3.022091310751e-03 1.000000000000e+00 5.128659022073e-03 1.697056274848e+00 5.128659022073e-03 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 JET 2.500000000000e-01 3.782250000000e+05 7.000000000000e+03 1.783767522498e-01 8.903638151426e-04 3.917600786627e-03 2.200000000000e+00 1.780727630285e-03 1.000000000000e+00 1.750961288383e-04 9.832841691249e-02 4.095673549656e-03 2.300000000000e+00 6.410619469027e-03 3.600000000000e+00 5.610705133301e-03 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 2.229468148502e-03 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.780727630285e-04 1.000000000000e-01 3.561455260570e-04 2.000000000000e-01 1.602654867257e-03 9.000000000000e-01 5.342182890855e-04 3.000000000000e-01 1.780727630285e-03 1.000000000000e+00 3.337973824223e-03 1.874499933316e+00 3.337973824223e-03 1.874499933316e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 JET 2.500000000000e-01 4.382440000000e+05 7.000000000000e+03 1.059941341884e-01 7.403249630724e-04 2.326735598227e-03 2.200000000000e+00 1.057607090103e-03 1.000000000000e+00 9.019346206324e-05 8.528068968829e-02 2.432496307238e-03 2.300000000000e+00 3.913146233383e-03 3.700000000000e+00 3.493306797187e-03 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 1.269128508124e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.057607090103e-04 1.000000000000e-01 2.115214180207e-04 2.000000000000e-01 9.020712725414e-04 8.529361054616e-01 2.747743821756e-04 2.598076211353e-01 1.007506067977e-03 9.526279441629e-01 2.132003164024e-03 2.015874500062e+00 2.132003164024e-03 2.015874500062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 JET 2.500000000000e-01 5.062322500000e+05 7.000000000000e+03 6.297490389354e-02 5.040512567767e-04 1.386140956136e-03 2.200000000000e+00 6.300640709709e-04 1.000000000000e+00 5.378526283614e-05 8.536475148195e-02 1.418344058103e-03 2.251110836898e+00 2.394243469690e-03 3.800000000000e+00 2.174177565078e-03 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 7.560768851651e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.260128141942e-04 2.000000000000e-01 5.040512567767e-04 8.000000000000e-01 1.636954474418e-04 2.598076211353e-01 5.670576638738e-04 9.000000000000e-01 1.381119989213e-03 2.192031021678e+00 1.381119989213e-03 2.192031021678e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 JET 2.500000000000e-01 5.829322500000e+05 7.000000000000e+03 3.714251043715e-02 4.080750246792e-04 8.161500493583e-04 2.200000000000e+00 3.709772951629e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.721912110409e-04 2.351063589102e+00 1.446811451135e-03 3.900000000000e+00 1.336548357813e-03 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 4.644629809281e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.419545903258e-05 2.000000000000e-01 2.794668265219e-04 7.533259586660e-01 9.638272855149e-05 2.598076211353e-01 3.164199293509e-04 8.529361054616e-01 8.789696194173e-04 2.369335349840e+00 8.789696194173e-04 2.369335349840e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 21 JET 2.500000000000e-01 6.691240000000e+05 7.000000000000e+03 2.192471582530e-02 2.845355731225e-04 4.815217391304e-04 2.200000000000e+00 2.188735177866e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.364634124109e-04 2.451020195755e+00 8.865728438507e-04 4.050617236916e+00 8.220878838910e-04 3.755995207665e+00 0.000000000000e+00 0.000000000000e+00 2.845355731225e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.377470355731e-05 2.000000000000e-01 1.532114624506e-04 7.000000000000e-01 4.377470355731e-05 2.000000000000e-01 1.866851258495e-04 8.529361054616e-01 5.650053573842e-04 2.581424025611e+00 5.650053573842e-04 2.581424025611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 22 JET 2.500000000000e-01 7.665002500000e+05 7.000000000000e+03 1.296320576436e-02 2.201088031652e-04 2.848466864491e-04 2.200000000000e+00 1.294757665678e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.107418397626e-04 2.400000000000e+00 5.374024230457e-04 4.150602365922e+00 5.052873696958e-04 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 1.683184965381e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.589515331355e-05 2.000000000000e-01 9.063303659743e-05 7.000000000000e-01 2.589515331355e-05 2.000000000000e-01 1.035806132542e-04 8.000000000000e-01 3.616930509476e-04 2.793519285776e+00 3.616930509476e-04 2.793519285776e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 23 JET 2.500000000000e-01 8.760960000000e+05 7.000000000000e+03 7.458008529275e-03 1.637148514851e-04 1.637148514851e-04 2.200000000000e+00 7.441584158416e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.863370295763e-04 2.503996805110e+00 3.237516757913e-04 4.350574674684e+00 3.017972965925e-04 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 9.674059405941e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.234047124966e-05 1.658312395178e-01 4.865566998958e-05 6.538348415311e-01 1.488316831683e-05 2.000000000000e-01 5.605938520132e-05 7.533259586660e-01 2.236657221682e-04 3.005619736427e+00 2.236657221682e-04 3.005619736427e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 24 JET 2.500000000000e-01 9.990002500000e+05 7.000000000000e+03 4.174406553461e-03 1.209722497522e-04 9.177205153617e-05 2.200000000000e+00 4.171456888008e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.044531472023e-04 2.503996805110e+00 1.878082361250e-04 4.502221673796e+00 1.775076221981e-04 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 5.639186427930e-05 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.917578663333e-06 1.658312395178e-01 2.502874132805e-05 6.000000000000e-01 8.342913776016e-06 2.000000000000e-01 3.142466759192e-05 7.533259586660e-01 1.342259840833e-04 3.217724351153e+00 1.342259840833e-04 3.217724351153e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 25 JET 2.500000000000e-01 1.137422250000e+06 7.000000000000e+03 2.307679516669e-03 8.752428146680e-05 5.067195242815e-05 2.200000000000e+00 2.303270564916e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.105839507150e-05 2.650943228362e+00 1.072134719188e-04 4.654836194755e+00 1.028185243014e-04 4.464022849404e+00 0.000000000000e+00 0.000000000000e+00 3.113677657047e-05 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.819542127248e-06 1.658312395178e-01 1.381962338949e-05 6.000000000000e-01 4.606541129832e-06 2.000000000000e-01 1.612289395441e-05 7.000000000000e-01 7.983748453697e-05 3.466266002487e+00 7.983748453697e-05 3.466266002487e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 26 JET 2.500000000000e-01 1.291632250000e+06 7.000000000000e+03 1.458371765736e-03 6.849503968254e-05 3.206150793651e-05 2.200000000000e+00 1.457341269841e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.934821428571e-05 2.700000000000e+00 7.007372081973e-05 4.808326112069e+00 6.796196597074e-05 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 2.115656006554e-05 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.457341269841e-06 1.000000000000e-01 8.081348277736e-06 5.545268253205e-01 2.416727091782e-06 1.658312395178e-01 1.020138888889e-05 7.000000000000e-01 5.410594135719e-05 3.712647303475e+00 5.410594135719e-05 3.712647303475e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 27 JET 2.500000000000e-01 1.464100000000e+06 7.000000000000e+03 7.976516348082e-04 5.020615384615e-05 1.753230769231e-05 2.200000000000e+00 7.969230769231e-06 1.000000000000e+00 6.850179945186e-07 8.595785645504e-02 2.271929717014e-05 2.850877058030e+00 3.990985677067e-05 5.007993610220e+00 3.875332943131e-05 4.862869523234e+00 0.000000000000e+00 0.000000000000e+00 1.156911650926e-05 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.969230769231e-07 1.000000000000e-01 3.984615384615e-06 5.000000000000e-01 1.321547416465e-06 1.658312395178e-01 5.210560737125e-06 6.538348415311e-01 3.156660492903e-05 3.961060464068e+00 3.156660492903e-05 3.961060464068e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 28 JET 2.500000000000e-01 1.657656250000e+06 7.000000000000e+03 3.358888238386e-04 3.088897715988e-05 7.386494538232e-06 2.200000000000e+00 3.357497517378e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.007249255214e-05 3.000000000000e+00 1.751700123725e-05 5.217278984298e+00 1.684781414915e-05 5.017967716118e+00 0.000000000000e+00 0.000000000000e+00 5.058580071995e-06 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.357497517378e-07 1.000000000000e-01 1.678748758689e-06 5.000000000000e-01 5.567779749847e-07 1.658312395178e-01 2.195248857216e-06 6.538348415311e-01 1.424861187349e-05 4.243819034785e+00 1.424861187349e-05 4.243819034785e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 29 JET 2.500000000000e-01 1.872792250000e+06 7.000000000000e+03 1.780377232903e-04 2.244590163934e-05 3.919125683060e-06 2.200000000000e+00 1.781420765027e-06 1.000000000000e+00 1.532792486182e-07 8.604325919368e-02 5.706110672397e-06 3.203123475609e+00 9.672310948901e-06 5.429548784199e+00 9.393933539212e-06 5.273281710662e+00 0.000000000000e+00 0.000000000000e+00 2.764073951712e-06 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.781420765027e-07 1.000000000000e-01 8.907103825137e-07 5.000000000000e-01 2.954152135672e-07 1.658312395178e-01 1.164754963602e-06 6.538348415311e-01 8.063758070095e-06 4.526588119103e+00 8.063758070095e-06 4.526588119103e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 30 JET 2.500000000000e-01 2.112662250000e+06 7.000000000000e+03 9.441535899234e-05 1.576871769384e-05 2.077316103380e-06 2.200000000000e+00 9.442345924453e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.258293500059e-06 3.450724561596e+00 5.314623376051e-06 5.628498911788e+00 5.220686638507e-06 5.529014378712e+00 0.000000000000e+00 0.000000000000e+00 1.516665332620e-06 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.442345924453e-08 1.000000000000e-01 4.301193268802e-07 4.555216789572e-01 1.565835928608e-07 1.658312395178e-01 5.665407554672e-07 6.000000000000e-01 4.607922857976e-06 4.880061475023e+00 4.607922857976e-06 4.880061475023e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 31 JET 2.500000000000e-01 2.379306250000e+06 7.000000000000e+03 4.303357713624e-05 9.351178518150e-06 9.480457483839e-07 2.200000000000e+00 4.309298856290e-07 1.000000000000e+00 3.711548763846e-08 8.612883180353e-02 1.638667199009e-06 3.802630668366e+00 2.543125335841e-06 5.901482864501e+00 2.450150007240e-06 5.685727745856e+00 0.000000000000e+00 0.000000000000e+00 7.168865442408e-07 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.309298856290e-08 1.000000000000e-01 1.723719542516e-07 4.000000000000e-01 4.309298856290e-08 1.000000000000e-01 2.585579313774e-07 6.000000000000e-01 2.240576418018e-06 5.199399003731e+00 2.240576418018e-06 5.199399003731e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 32 JET 2.500000000000e-01 2.842596000000e+06 7.000000000000e+03 1.615864067860e-05 4.581502487562e-06 3.561592039801e-07 2.200000000000e+00 1.618905472637e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.976336863836e-07 4.309292285283e+00 1.022701168927e-06 6.317238320659e+00 9.874991634588e-07 6.099795078525e+00 0.000000000000e+00 0.000000000000e+00 2.853823171275e-07 1.762810256380e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.618905472637e-08 1.000000000000e-01 6.475621890547e-08 4.000000000000e-01 1.618905472637e-08 1.000000000000e-01 8.977265122352e-08 5.545268253205e-01 9.332782945496e-07 5.764872071434e+00 9.332782945496e-07 5.764872071434e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 33 JET 2.500000000000e-01 3.802500000000e+06 7.000000000000e+03 2.041402650286e-06 1.482495019920e-06 4.498605577689e-08 2.200000000000e+00 2.044820717131e-08 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.155414180429e-07 5.650442460551e+00 1.447460110418e-07 7.078665128398e+00 1.384903799078e-07 6.772739475279e+00 0.000000000000e+00 0.000000000000e+00 3.927972328521e-08 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.044820717131e-09 1.000000000000e-01 7.301470400298e-09 3.570714214271e-01 2.044820717131e-09 1.000000000000e-01 1.022410358566e-08 5.000000000000e-01 1.374219933547e-07 6.720491053487e+00 1.374219933547e-07 6.720491053487e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 34 JET 7.500000000000e-01 1.525225000000e+04 7.000000000000e+03 2.513356977529e+03 3.024215246637e+01 5.544394618834e+01 2.200000000000e+00 2.520179372197e+01 1.000000000000e+00 4.294476060247e+01 1.704035874439e+00 8.192521329793e+01 3.250769139758e+00 6.562152206507e+01 2.603843313258e+00 3.406905954728e+01 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 7.184721554317e+01 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.182539358416e+00 8.660254037844e-02 2.520179372197e+00 1.000000000000e-01 1.898516541571e+01 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1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.705128205128e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.410256410256e-05 2.000000000000e-01 3.764102564103e-04 8.000000000000e-01 1.680066816202e-04 3.570714214271e-01 4.234615384615e-04 9.000000000000e-01 1.114802658194e-03 2.369335349840e+00 0.000000000000e+00 0.000000000000e+00 1.114802658194e-03 2.369335349840e+00 0.000000000000e+00 0.000000000000e+00 + 53 JET 7.500000000000e-01 5.829322500000e+05 7.000000000000e+03 2.735299140108e-02 3.271865745311e-04 5.998420533070e-04 2.200000000000e+00 2.726554787759e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.682840849631e-04 2.451020195755e+00 1.145153010859e-03 4.200000000000e+00 1.051315826837e-03 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 3.817176702863e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.726554787759e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.453109575518e-05 2.000000000000e-01 2.053984499344e-04 7.533259586660e-01 8.179664363277e-05 3.000000000000e-01 2.453899308983e-04 9.000000000000e-01 7.038394036265e-04 2.581424025611e+00 0.000000000000e+00 0.000000000000e+00 7.038394036265e-04 2.581424025611e+00 0.000000000000e+00 0.000000000000e+00 + 54 JET 7.500000000000e-01 6.691240000000e+05 7.000000000000e+03 1.533469382916e-02 2.450592885375e-04 3.369565217391e-04 2.200000000000e+00 1.531620553360e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.682265550250e-04 2.404163056034e+00 6.739130434783e-04 4.400000000000e+00 6.211566416094e-04 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 2.144268774704e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.531620553360e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.063241106719e-05 2.000000000000e-01 1.072134387352e-04 7.000000000000e-01 4.594861660079e-05 3.000000000000e-01 1.378458498024e-04 9.000000000000e-01 4.278611554301e-04 2.793519285776e+00 0.000000000000e+00 0.000000000000e+00 4.278611554301e-04 2.793519285776e+00 0.000000000000e+00 0.000000000000e+00 + 55 JET 7.500000000000e-01 7.665002500000e+05 7.000000000000e+03 8.266354244921e-03 1.730890207715e-04 1.813313550940e-04 2.200000000000e+00 8.242334322453e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.060583580613e-04 2.500000000000e+00 3.750714964887e-04 4.550549417378e+00 3.469621377719e-04 4.209513035970e+00 0.000000000000e+00 0.000000000000e+00 1.153926805143e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.242334322453e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.648466864491e-05 2.000000000000e-01 5.769634025717e-05 7.000000000000e-01 2.472700296736e-05 3.000000000000e-01 6.593867457962e-05 8.000000000000e-01 2.507485543117e-04 3.042203149035e+00 0.000000000000e+00 0.000000000000e+00 2.507485543117e-04 3.042203149035e+00 0.000000000000e+00 0.000000000000e+00 + 56 JET 7.500000000000e-01 8.760960000000e+05 7.000000000000e+03 4.345299602524e-03 1.213148514851e-04 9.531881188119e-05 2.200000000000e+00 4.332673267327e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.126495049505e-04 2.600000000000e+00 2.037278072457e-04 4.702127178203e+00 1.910310970887e-04 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 6.499009900990e-05 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.332673267327e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.184925783463e-06 1.658312395178e-01 2.599603960396e-05 6.000000000000e-01 1.299801980198e-05 3.000000000000e-01 3.466138613861e-05 8.000000000000e-01 1.440573140197e-04 3.324906013709e+00 0.000000000000e+00 0.000000000000e+00 1.440573140197e-04 3.324906013709e+00 0.000000000000e+00 0.000000000000e+00 + 57 JET 7.500000000000e-01 9.990002500000e+05 7.000000000000e+03 2.380853006485e-03 8.786124876115e-05 5.224182358771e-05 2.200000000000e+00 2.374628344896e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.420285427094e-05 2.703701166919e+00 1.164052406151e-04 4.902040391510e+00 1.096965211974e-04 4.619523784980e+00 0.000000000000e+00 0.000000000000e+00 3.561942517344e-05 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.374628344896e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.374628344896e-06 1.000000000000e-01 1.424777006938e-05 6.000000000000e-01 6.169465413679e-06 2.598076211353e-01 1.899702675917e-05 8.000000000000e-01 8.487012729375e-05 3.574038332195e+00 0.000000000000e+00 0.000000000000e+00 8.487012729375e-05 3.574038332195e+00 0.000000000000e+00 0.000000000000e+00 + 58 JET 7.500000000000e-01 1.137422250000e+06 7.000000000000e+03 1.417687657719e-03 6.645711452652e-05 3.110758552305e-05 2.200000000000e+00 1.413981160139e-05 1.000000000000e+00 1.214222712100e-06 8.587262308224e-02 4.031086449926e-05 2.850877058030e+00 7.288177944192e-05 5.154367080447e+00 6.813570135172e-05 4.818713521263e+00 0.000000000000e+00 0.000000000000e+00 2.193950227639e-05 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.344822484406e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 1.413981160139e-06 1.000000000000e-01 8.483886960833e-06 6.000000000000e-01 3.673630815458e-06 2.598076211353e-01 1.131184928111e-05 8.000000000000e-01 5.453230583779e-05 3.856650100800e+00 0.000000000000e+00 0.000000000000e+00 5.453230583779e-05 3.856650100800e+00 0.000000000000e+00 0.000000000000e+00 + 59 JET 7.500000000000e-01 1.291632250000e+06 7.000000000000e+03 7.625544352411e-04 4.784375000000e-05 1.670734126984e-05 2.200000000000e+00 7.594246031746e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.204948499683e-05 2.903446228192e+00 4.030677828249e-05 5.307541803886e+00 3.821347331846e-05 5.031898250164e+00 0.000000000000e+00 0.000000000000e+00 1.215079365079e-05 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.259363232647e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 7.594246031746e-07 1.000000000000e-01 4.211213142687e-06 5.545268253205e-01 1.518849206349e-06 2.000000000000e-01 5.315972222222e-06 7.000000000000e-01 3.143481261361e-05 4.139293417964e+00 0.000000000000e+00 0.000000000000e+00 3.143481261361e-05 4.139293417964e+00 0.000000000000e+00 0.000000000000e+00 + 60 JET 7.500000000000e-01 1.464100000000e+06 7.000000000000e+03 3.208805368601e-04 3.002401985112e-05 7.026898263027e-06 2.200000000000e+00 3.194044665012e-06 1.000000000000e+00 2.745532328261e-07 8.595785645504e-02 1.006377533161e-05 3.150793550838e+00 1.776288044460e-05 5.561249859519e+00 1.689148408446e-05 5.288430769141e+00 0.000000000000e+00 0.000000000000e+00 5.275010938947e-06 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.296723858741e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 3.194044665012e-07 1.000000000000e-01 1.597022332506e-06 5.000000000000e-01 6.388089330025e-07 2.000000000000e-01 2.235831265509e-06 7.000000000000e-01 1.434967001310e-05 4.492632858358e+00 0.000000000000e+00 0.000000000000e+00 1.434967001310e-05 4.492632858358e+00 0.000000000000e+00 0.000000000000e+00 + 61 JET 7.500000000000e-01 1.657656250000e+06 7.000000000000e+03 1.288572321594e-04 1.796226415094e-05 2.822641509434e-06 2.200000000000e+00 1.283018867925e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.299070577691e-06 3.350746185553e+00 7.461391786425e-06 5.815496539419e+00 7.039963226869e-06 5.487030162119e+00 0.000000000000e+00 0.000000000000e+00 2.181132075472e-06 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.127646091926e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 1.283018867925e-07 1.000000000000e-01 6.415094339623e-07 5.000000000000e-01 2.566037735849e-07 2.000000000000e-01 8.981132075472e-07 7.000000000000e-01 6.174507473623e-06 4.812483766206e+00 0.000000000000e+00 0.000000000000e+00 6.174507473623e-06 4.812483766206e+00 0.000000000000e+00 0.000000000000e+00 + 62 JET 7.500000000000e-01 1.872792250000e+06 7.000000000000e+03 7.117160314925e-05 1.466172876304e-05 1.558251366120e-06 2.200000000000e+00 7.082960755092e-07 1.000000000000e+00 6.094410281090e-08 8.604325919368e-02 2.656582438577e-06 3.750666607418e+00 4.339144546651e-06 6.126173356999e+00 4.081776991534e-06 5.762811813690e+00 0.000000000000e+00 0.000000000000e+00 1.274932935917e-06 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.174576161473e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 7.082960755092e-08 1.000000000000e-01 3.541480377546e-07 5.000000000000e-01 1.416592151018e-07 2.000000000000e-01 4.958072528564e-07 7.000000000000e-01 3.658882298814e-06 5.165752607317e+00 0.000000000000e+00 0.000000000000e+00 3.658882298814e-06 5.165752607317e+00 0.000000000000e+00 0.000000000000e+00 + 63 JET 7.500000000000e-01 2.550409000000e+06 7.000000000000e+03 1.529846825353e-05 3.167061163600e-06 3.349776230731e-07 2.200000000000e+00 1.522625559423e-07 1.000000000000e+00 1.311419607073e-08 8.612883180353e-02 6.776539093061e-07 4.450561762295e+00 1.058525959805e-06 6.951978135754e+00 9.802622672452e-07 6.437973283573e+00 0.000000000000e+00 0.000000000000e+00 2.971071283637e-07 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.045251118846e-08 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.522625559423e-08 1.000000000000e-01 6.090502237693e-08 4.000000000000e-01 3.045251118846e-08 2.000000000000e-01 9.135753356539e-08 6.000000000000e-01 9.485602845431e-07 6.229767250869e+00 0.000000000000e+00 0.000000000000e+00 9.485602845431e-07 6.229767250869e+00 0.000000000000e+00 0.000000000000e+00 + 64 JET 1.250000000000e+00 1.525225000000e+04 7.000000000000e+03 2.126392439244e+03 2.745094509451e+01 4.645544554455e+01 2.200000000000e+00 2.111611161116e+01 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9.451052150046e+00 1.000000000000e+00 1.383502602020e+01 1.463860933211e+00 3.412863787389e+01 3.611094017054e+00 2.555282072669e+01 2.703701166919e+00 1.466436654218e+01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 2.659761837089e+01 2.814249455894e+00 1.417657822507e+01 1.500000000000e+00 1.890210430009e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.890210430009e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.061143613374e+00 8.529361054616e-01 2.983824542194e+01 3.157134776977e+00 1.800667275975e+01 1.905255888326e+00 2.272187041979e+01 2.404163056034e+00 2.673161225858e+00 2.828427124746e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.673161225858e+00 2.828427124746e-01 + 66 JET 1.250000000000e+00 2.673225000000e+04 7.000000000000e+03 4.430604079740e+02 7.939360222531e+00 9.703662494205e+00 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5.833769157544e+01 7.557448833889e-01 1.278952879581e+00 2.200000000000e+00 5.813422179914e-01 1.000000000000e+00 3.618294116856e-01 6.224034664742e-01 1.541105216146e+00 2.650943228362e+00 1.745963386002e+00 3.003331483536e+00 1.162684435983e+00 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.162684435983e+00 2.000000000000e+00 9.020175992819e-01 1.551612064918e+00 1.162684435983e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.510371387219e-01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 3.223698545676e-01 5.545268253205e-01 1.250561565308e+00 2.151162476430e+00 7.278395282630e-01 1.251998402555e+00 1.076268414162e+00 1.851350858157e+00 3.288568196254e-01 5.656854249492e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.288568196254e-01 5.656854249492e-01 + 70 JET 1.250000000000e+00 6.682225000000e+04 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1.250000000000e+00 9.922500000000e+04 7.000000000000e+03 8.789524637681e+00 7.894782608696e-02 1.929835748792e-01 2.200000000000e+00 8.771980676329e-02 1.000000000000e+00 3.390137459451e-02 3.864734299517e-01 2.150030179446e-01 2.451020195755e+00 2.897410579804e-01 3.303028912983e+00 2.105275362319e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.491236714976e-01 1.700000000000e+00 1.403516908213e-01 1.600000000000e+00 1.754396135266e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.279027432162e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 3.508792270531e-02 4.000000000000e-01 1.448705289902e-01 1.651514456491e+00 8.771980676329e-02 1.000000000000e+00 1.361071105062e-01 1.551612064918e+00 8.063545126870e-02 9.192388155425e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.063545126870e-02 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1.000000000000e-01 3.306021600000e-01 2.100000000000e+00 1.731725600000e-01 1.100000000000e+00 2.361444000000e-01 1.500000000000e+00 2.046584800000e-01 1.300000000000e+00 1.259436800000e-01 8.000000000000e-01 1.202591174949e-04 7.638913996792e-04 4.166500000000e-01 2.646579804560e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT_SF.dat b/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT_SF.dat new file mode 100644 index 0000000000..de6fae9c8e --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT_SF.dat @@ -0,0 +1,5 @@ +CMSTTBARTOT 2 4 + 1 INC 0.000000000000e+00 3.003289000000e+04 5.020000000000e+03 6.950000000000e+01 6.100000000000e+00 5.600000000000e+00 8.057553956835e+00 1.600000000000e+00 2.302158273381e+00 + 2 INC 0.000000000000e+00 3.003289000000e+04 7.000000000000e+03 1.738500000000e+02 2.100000000000e+00 4.264680527308e+00 2.456613206975e+00 3.800000000000e+00 2.188940092166e+00 + 3 INC 0.000000000000e+00 3.003289000000e+04 8.000000000000e+03 2.453000000000e+02 1.400000000000e+00 5.927056605095e+00 2.420194612125e+00 6.400000000000e+00 2.613311555737e+00 + 4 INC 0.000000000000e+00 3.003289000000e+04 1.300000000000e+04 7.920000000000e+02 8.000000000000e+00 3.700000000000e+01 4.671717171717e+00 2.100000000000e+01 2.651515151515e+00 diff --git a/nnpdfcpp/data/commondata/DATA_D0ZRAP_SF.dat b/nnpdfcpp/data/commondata/DATA_D0ZRAP_SF.dat new file mode 100644 index 0000000000..9700b1f241 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_D0ZRAP_SF.dat @@ -0,0 +1,29 @@ +D0ZRAP 1 28 + 1 EWK_RAP 5.000000000000e-02 8.315178393760e+03 1.960000000000e+03 2.715000000000e-01 9.000000000000e-03 5.545268253205e-03 2.046224447677e+00 + 2 EWK_RAP 1.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.765000000000e-01 9.000000000000e-03 6.538348415311e-03 2.368966817142e+00 + 3 EWK_RAP 2.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.745000000000e-01 9.000000000000e-03 5.545268253205e-03 2.023820530367e+00 + 4 EWK_RAP 3.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.665000000000e-01 1.000000000000e-02 5.545268253205e-03 2.084687313235e+00 + 5 EWK_RAP 4.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.785000000000e-01 1.000000000000e-02 6.538348415311e-03 2.351923890400e+00 + 6 EWK_RAP 5.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.685000000000e-01 1.000000000000e-02 6.538348415311e-03 2.430612793796e+00 + 7 EWK_RAP 6.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.600000000000e-01 1.000000000000e-02 6.000000000000e-03 2.307692307692e+00 + 8 EWK_RAP 7.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.770000000000e-01 1.000000000000e-02 6.164414002969e-03 2.233483334409e+00 + 9 EWK_RAP 8.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.345000000000e-01 9.000000000000e-03 6.538348415311e-03 2.782275921409e+00 + 10 EWK_RAP 9.500000000000e-01 8.315178393760e+03 1.960000000000e+03 2.435000000000e-01 9.000000000000e-03 5.545268253205e-03 2.272650923445e+00 + 11 EWK_RAP 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4.000000000000e-03 2.000000000000e-03 4.081632653061e+00 + 25 EWK_RAP 2.450000000000e+00 8.315178393760e+03 1.960000000000e+03 3.900000000000e-02 3.000000000000e-03 2.000000000000e-03 5.128205128205e+00 + 26 EWK_RAP 2.550000000000e+00 8.315178393760e+03 1.960000000000e+03 1.800000000000e-02 3.000000000000e-03 1.000000000000e-03 5.555555555556e+00 + 27 EWK_RAP 2.650000000000e+00 8.315178393760e+03 1.960000000000e+03 1.400000000000e-02 3.000000000000e-03 1.000000000000e-03 7.142857142857e+00 + 28 EWK_RAP 2.750000000000e+00 8.315178393760e+03 1.960000000000e+03 5.000000000000e-03 2.000000000000e-03 4.000000000000e-04 8.000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ZEUSHERAF2B_SF.dat b/nnpdfcpp/data/commondata/DATA_ZEUSHERAF2B_SF.dat new file mode 100644 index 0000000000..a8a129c464 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ZEUSHERAF2B_SF.dat @@ -0,0 +1,18 @@ +ZEUSHERAF2B 2 17 + 1 DIS_NCE_BT 1.500000000000e-04 6.500000000000e+00 0.000000000000e+00 4.342655500000e-03 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0000000000..bc40eee982 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAPNORM_SF_DEFAULT.dat @@ -0,0 +1,57 @@ +56 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat new file mode 100644 index 0000000000..c846c70374 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat @@ -0,0 +1,58 @@ +57 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT 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MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT CORR +58 MULT CORR +59 MULT CORR +60 MULT CORR +61 MULT CORR +62 MULT CORR +63 MULT CORR +64 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat new file mode 100644 index 0000000000..bc40eee982 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat @@ -0,0 +1,57 @@ +56 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat new file mode 100644 index 0000000000..c846c70374 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat @@ -0,0 +1,58 @@ +57 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAPNORM_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAPNORM_SF_DEFAULT.dat new file mode 100644 index 0000000000..bc40eee982 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAPNORM_SF_DEFAULT.dat @@ -0,0 +1,57 @@ +56 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat new file mode 100644 index 0000000000..c846c70374 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat @@ -0,0 +1,58 @@ +57 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat new file mode 100644 index 0000000000..ea30499eae --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat @@ -0,0 +1,26 @@ +25 +1 MULT CDFLUMI +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat new file mode 100644 index 0000000000..2790c86312 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat @@ -0,0 +1,107 @@ +106 +1 MULT CMS2P76LUMI +2 MULT UNCORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 ADD CORR +27 ADD CORR +28 ADD CORR +29 ADD CORR +30 ADD CORR +31 ADD CORR +32 ADD CORR +33 ADD CORR +34 ADD CORR +35 ADD CORR +36 ADD CORR +37 ADD CORR +38 ADD CORR +39 ADD CORR +40 ADD CORR +41 ADD CORR +42 ADD CORR +43 ADD CORR +44 ADD CORR +45 ADD CORR +46 ADD CORR +47 ADD CORR +48 ADD CORR +49 ADD CORR +50 ADD CORR +51 ADD CORR +52 ADD CORR +53 ADD CORR +54 ADD CORR +55 ADD CORR +56 ADD CORR +57 ADD CORR +58 ADD CORR +59 ADD CORR +60 ADD CORR +61 ADD CORR +62 ADD CORR +63 ADD CORR +64 ADD CORR +65 ADD CORR +66 ADD CORR +67 ADD CORR +68 ADD CORR +69 ADD CORR +70 ADD CORR +71 ADD CORR +72 ADD CORR +73 ADD CORR +74 ADD CORR +75 ADD CORR +76 ADD CORR +77 ADD CORR +78 ADD CORR +79 ADD CORR +80 ADD CORR +81 ADD CORR +82 ADD CORR +83 ADD CORR +84 ADD CORR +85 ADD CORR +86 ADD CORR +87 ADD CORR +88 ADD CORR +89 ADD CORR +90 ADD CORR +91 ADD CORR +92 ADD CORR +93 ADD CORR +94 ADD CORR +95 ADD CORR +96 ADD CORR +97 ADD CORR +98 ADD CORR +99 ADD CORR +100 ADD CORR +101 ADD CORR +102 ADD CORR +103 ADD CORR +104 ADD CORR +105 ADD CORR +106 ADD CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat new file mode 100644 index 0000000000..30ade53597 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat @@ -0,0 +1,25 @@ +24 +1 MULT CMSLUMI11 +2 MULT UNCORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat new file mode 100644 index 0000000000..745d01fcd3 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat @@ -0,0 +1,22 @@ +21 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat new file mode 100644 index 0000000000..19ad7c70d6 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat @@ -0,0 +1,24 @@ +23 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat new file mode 100644 index 0000000000..ef871341e3 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat @@ -0,0 +1,21 @@ +20 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat new file mode 100644 index 0000000000..4a7a136ee2 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat @@ -0,0 +1,20 @@ +19 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat new file mode 100644 index 0000000000..19ad7c70d6 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat @@ -0,0 +1,24 @@ +23 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT_SF_DEFAULT.dat new file mode 100644 index 0000000000..d7238f5e57 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT_SF_DEFAULT.dat @@ -0,0 +1,3 @@ +2 +1 MULT UNCORR +2 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_D0ZRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_D0ZRAP_SF_DEFAULT.dat new file mode 100644 index 0000000000..33f059a80f --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_D0ZRAP_SF_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERAF2B_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERAF2B_SF_DEFAULT.dat new file mode 100644 index 0000000000..b702ace561 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERAF2B_SF_DEFAULT.dat @@ -0,0 +1,3 @@ +2 +1 MULT CORR +2 MULT CORR From 6740a7926fca8a51361292546052f7fe7050ee24 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Tue, 12 Mar 2019 16:55:45 -0400 Subject: [PATCH 200/429] Added PLOTTING files for data sets affected by the symmetrising fix --- .../commondata/PLOTTING_ATLAS1JET11_SF.yaml | 17 +++++++++++++++++ .../data/commondata/PLOTTING_ATLASPHT12_SF.yaml | 5 +++++ .../data/commondata/PLOTTING_ATLASPHT15_SF.yaml | 5 +++++ .../PLOTTING_ATLASR04JETS2P76TEV_SF.yaml | 11 +++++++++++ .../PLOTTING_ATLASR04JETS36PB_SF.yaml | 11 +++++++++++ .../PLOTTING_ATLASR06JETS36PB_SF.yaml | 11 +++++++++++ .../PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml | 5 +++++ .../data/commondata/PLOTTING_CDFR2KT_SF.yaml | 11 +++++++++++ .../commondata/PLOTTING_CMS1JET276TEV_SF.yaml | 11 +++++++++++ .../data/commondata/PLOTTING_CMSJETS11_SF.yaml | 17 +++++++++++++++++ .../commondata/PLOTTING_CMSTTBARTOT_SF.yaml | 1 + .../data/commondata/PLOTTING_D0ZRAP_SF.yaml | 4 ++++ .../commondata/PLOTTING_ZEUSHERAF2B_SF.yaml | 12 ++++++++++++ 13 files changed, 121 insertions(+) create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml new file mode 100644 index 0000000000..8c55f53236 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml @@ -0,0 +1,17 @@ +dataset_label: "ATLAS jets 2011 7 TeV" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +line_by: + - k1 + +normalize: + line_by: [] + y_scale: linear + figure_by: + - k1 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml new file mode 100644 index 0000000000..fae8c9bf90 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml @@ -0,0 +1,5 @@ +dataset_label: "ATLAS direct photon production 8 TeV" +x: k2 +y_label: '$d\sigma_{\gamma}}/dp_T ^\gamma$ (fb)' +figure_by: + - k1 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml new file mode 100644 index 0000000000..41f1c5c483 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml @@ -0,0 +1,5 @@ +dataset_label: "ATLAS direct photon production 13 TeV" +x: k2 +y_label: '$d\sigma_{\gamma}}/dp_T ^\gamma$ (fb)' +figure_by: + - k1 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml new file mode 100644 index 0000000000..16b1894239 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml @@ -0,0 +1,11 @@ +dataset_label: "ATLAS jets 2.76 TeV" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +line_by: + - k1 \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml new file mode 100644 index 0000000000..1c2581b48b --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml @@ -0,0 +1,11 @@ +dataset_label: "ATLAS jets 2010 7 TeV" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +line_by: + - k1 \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml new file mode 100644 index 0000000000..1c2581b48b --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml @@ -0,0 +1,11 @@ +dataset_label: "ATLAS jets 2010 7 TeV" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +line_by: + - k1 \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml new file mode 100644 index 0000000000..b02c45a2bf --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml @@ -0,0 +1,5 @@ +dataset_label: "ATLAS $t\\bar{t}$ rapidity $y_t$" +x: k1 +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_t$ (fb)' +figure_by: + - k2 diff --git a/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml new file mode 100644 index 0000000000..aad6530f21 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml @@ -0,0 +1,11 @@ +dataset_label: "CDF Run II $k_t$ jets" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +line_by: + - k1 \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml new file mode 100644 index 0000000000..5f28e20727 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml @@ -0,0 +1,11 @@ +dataset_label: "CMS jets 2.76 TeV" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +line_by: + - k1 \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml new file mode 100644 index 0000000000..8804df0dc8 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml @@ -0,0 +1,17 @@ +dataset_label: "CMS jets 7 TeV 2011" +x: k2 + +y_label: '$10^{3*qbin} d\sigma/dp_T$' +y_scale: log +x_scale: linear +result_transform: qbinjets +kinematics_override: jet_sqrt_scale + +normalize: + y_scale: linear + line_by: [] + figure_by: + - k1 + +line_by: + - k1 diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml new file mode 100644 index 0000000000..d67250dfc3 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml @@ -0,0 +1 @@ +dataset_label: "CMS $\\sigma_{tt}^{\\rm tot}$" diff --git a/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml new file mode 100644 index 0000000000..e9c0ad4412 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml @@ -0,0 +1,4 @@ +dataset_label: "D0 $Z$ rapidity" +x: k1 +y_label: '$1/\sigma\;d\sigma_{Z/\gamma^{*}}/dy$' +#x_label: 'Boson rapidity $|y|$' \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml new file mode 100644 index 0000000000..ae0a3d4806 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml @@ -0,0 +1,12 @@ +dataset_label: "HERA ZEUS $F_2^b$" +x: k1 +y_label: '$10^{qbin} F_{2,b}(x,Q^2)$' +result_transform: qbinexp +x_scale: log +y_scale: log +line_by: + - k2 +normalize: + figure_by: + - two_Q2_bins + y_scale: linear From 65a0c0030dafe4d091aa56b0b1ff3134d3326d2a Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Tue, 12 Mar 2019 23:24:10 -0400 Subject: [PATCH 201/429] Added missing systype files --- .../systypes/SYSTYPE_ATLAS1JET11_SF_10.dat | 407 ++++++++++++++++++ .../SYSTYPE_ATLASR04JETS2P76TEV_SF_10.dat | 92 ++++ .../SYSTYPE_ATLASR04JETS36PB_SF_10.dat | 93 ++++ .../systypes/SYSTYPE_CDFR2KT_SF_10.dat | 27 ++ .../systypes/SYSTYPE_CMS1JET276TEV_SF_10.dat | 109 +++++ .../systypes/SYSTYPE_CMSJETS11_SF_10.dat | 27 ++ 6 files changed, 755 insertions(+) create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_10.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_10.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_10.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_10.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_10.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_10.dat diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_10.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_10.dat new file mode 100644 index 0000000000..bbd192fac3 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_10.dat @@ -0,0 +1,407 @@ +406 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT CORR +58 MULT CORR +59 MULT CORR +60 MULT CORR +61 MULT CORR +62 MULT CORR +63 MULT CORR +64 MULT CORR +65 MULT CORR +66 MULT CORR +67 MULT CORR +68 MULT CORR +69 MULT CORR +70 MULT CORR +71 MULT CORR +72 MULT CORR +73 MULT CORR +74 MULT CORR +75 MULT CORR +76 MULT CORR +77 MULT CORR +78 MULT CORR +79 MULT CORR +80 MULT CORR +81 MULT CORR +82 MULT CORR +83 MULT CORR +84 MULT CORR +85 MULT CORR +86 MULT CORR +87 MULT CORR +88 MULT CORR +89 MULT CORR +90 MULT CORR +91 MULT CORR +92 MULT CORR +93 MULT CORR +94 MULT CORR +95 MULT CORR +96 MULT CORR +97 MULT CORR +98 MULT CORR +99 MULT CORR +100 MULT CORR +101 MULT CORR +102 MULT CORR +103 MULT CORR +104 MULT CORR +105 MULT CORR +106 MULT CORR +107 MULT CORR +108 MULT CORR +109 MULT CORR +110 MULT CORR +111 MULT CORR +112 MULT CORR +113 MULT CORR +114 MULT CORR +115 MULT CORR +116 MULT CORR +117 MULT CORR +118 MULT CORR +119 MULT CORR +120 MULT CORR +121 MULT CORR +122 MULT CORR +123 MULT CORR +124 MULT CORR +125 MULT CORR +126 MULT CORR +127 MULT CORR +128 MULT CORR +129 MULT CORR +130 MULT CORR +131 MULT CORR +132 MULT CORR +133 MULT CORR +134 MULT CORR +135 MULT CORR +136 MULT CORR +137 MULT CORR +138 MULT CORR +139 MULT CORR +140 MULT CORR +141 MULT CORR +142 MULT CORR +143 MULT CORR +144 MULT CORR +145 MULT CORR +146 MULT CORR +147 MULT CORR +148 MULT CORR +149 MULT CORR +150 MULT CORR +151 MULT CORR +152 MULT CORR +153 MULT CORR +154 MULT CORR +155 MULT CORR +156 MULT CORR +157 MULT CORR +158 MULT CORR +159 MULT CORR +160 MULT CORR +161 MULT CORR +162 MULT CORR +163 MULT CORR +164 MULT CORR +165 MULT CORR +166 MULT CORR +167 MULT CORR +168 MULT CORR +169 MULT CORR +170 MULT CORR +171 MULT CORR +172 MULT CORR +173 MULT CORR +174 MULT CORR +175 MULT CORR +176 MULT CORR +177 MULT CORR +178 MULT CORR +179 MULT CORR +180 MULT CORR +181 MULT CORR +182 MULT CORR +183 MULT CORR +184 MULT CORR +185 MULT CORR +186 MULT CORR +187 MULT CORR +188 MULT CORR +189 MULT CORR +190 MULT CORR +191 MULT CORR +192 MULT CORR +193 MULT CORR +194 MULT CORR +195 MULT CORR +196 MULT CORR +197 MULT CORR +198 MULT CORR +199 MULT CORR +200 MULT CORR +201 MULT CORR +202 MULT CORR +203 MULT CORR +204 MULT CORR +205 MULT CORR +206 MULT CORR +207 MULT CORR +208 MULT CORR +209 MULT CORR +210 MULT CORR +211 MULT CORR +212 MULT CORR +213 MULT CORR +214 MULT CORR +215 MULT CORR +216 MULT CORR +217 MULT CORR +218 MULT CORR +219 MULT CORR +220 MULT CORR +221 MULT CORR +222 MULT CORR +223 MULT CORR +224 MULT CORR +225 MULT CORR +226 MULT CORR +227 MULT CORR +228 MULT CORR +229 MULT CORR +230 MULT CORR +231 MULT CORR +232 MULT CORR +233 MULT CORR +234 MULT CORR +235 MULT CORR +236 MULT CORR +237 MULT CORR +238 MULT CORR +239 MULT CORR +240 MULT CORR +241 MULT CORR +242 MULT CORR +243 MULT CORR +244 MULT CORR +245 MULT CORR +246 MULT CORR +247 MULT CORR +248 MULT CORR +249 MULT CORR +250 MULT CORR +251 MULT CORR +252 MULT CORR +253 MULT CORR +254 MULT CORR +255 MULT CORR +256 MULT CORR +257 MULT CORR +258 MULT CORR +259 MULT CORR +260 MULT CORR +261 MULT CORR +262 MULT CORR +263 MULT CORR +264 MULT CORR +265 MULT CORR +266 MULT CORR +267 MULT CORR +268 MULT CORR +269 MULT CORR +270 MULT CORR +271 MULT CORR +272 MULT CORR +273 MULT CORR +274 MULT CORR +275 MULT CORR +276 MULT CORR +277 MULT CORR +278 MULT CORR +279 MULT CORR +280 MULT CORR +281 MULT CORR +282 MULT CORR +283 MULT CORR +284 MULT CORR +285 MULT CORR +286 MULT CORR +287 MULT CORR +288 MULT CORR +289 MULT CORR +290 MULT CORR +291 MULT CORR +292 MULT CORR +293 MULT CORR +294 MULT CORR +295 MULT CORR +296 MULT CORR +297 MULT CORR +298 MULT CORR +299 MULT CORR +300 MULT CORR +301 MULT CORR +302 MULT CORR +303 MULT CORR +304 MULT CORR +305 MULT CORR +306 MULT CORR +307 MULT CORR +308 MULT CORR +309 MULT CORR +310 MULT CORR +311 MULT CORR +312 MULT CORR +313 MULT CORR +314 MULT CORR +315 MULT CORR +316 MULT CORR +317 MULT CORR +318 MULT CORR +319 MULT CORR +320 MULT CORR +321 MULT CORR +322 MULT CORR +323 MULT CORR +324 MULT CORR +325 MULT CORR +326 MULT CORR +327 MULT CORR +328 MULT CORR +329 MULT CORR +330 MULT CORR +331 MULT CORR +332 MULT CORR +333 MULT CORR +334 MULT CORR +335 MULT CORR +336 MULT CORR +337 MULT CORR +338 MULT CORR +339 MULT CORR +340 MULT CORR +341 MULT CORR +342 MULT CORR +343 MULT CORR +344 MULT CORR +345 MULT CORR +346 MULT CORR +347 MULT CORR +348 MULT CORR +349 MULT CORR +350 MULT CORR +351 MULT CORR +352 MULT CORR +353 MULT CORR +354 MULT CORR +355 MULT CORR +356 MULT CORR +357 MULT CORR +358 MULT CORR +359 MULT CORR +360 MULT CORR +361 MULT CORR +362 MULT CORR +363 MULT CORR +364 MULT CORR +365 MULT CORR +366 MULT CORR +367 MULT CORR +368 MULT CORR +369 MULT CORR +370 MULT CORR +371 MULT CORR +372 MULT CORR +373 MULT CORR +374 MULT CORR +375 MULT CORR +376 MULT CORR +377 MULT CORR +378 MULT CORR +379 MULT CORR +380 MULT CORR +381 MULT CORR +382 MULT CORR +383 MULT CORR +384 MULT CORR +385 MULT CORR +386 MULT CORR +387 MULT CORR +388 MULT CORR +389 MULT CORR +390 MULT CORR +391 MULT CORR +392 MULT CORR +393 MULT CORR +394 MULT CORR +395 MULT CORR +396 MULT CORR +397 MULT CORR +398 MULT CORR +399 MULT CORR +400 MULT CORR +401 MULT CORR +402 MULT CORR +403 MULT ATLASLUMI11 +404 MULT ATLAS1JET11_NP_err +405 MULT THEORYCORR +406 MULT SKIP \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_10.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_10.dat new file mode 100644 index 0000000000..d1a84d9d62 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_10.dat @@ -0,0 +1,92 @@ +91 +1 MULT CORR +2 MULT CORR +3 MULT UNCORR +4 MULT UNCORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT CORR +58 MULT CORR +59 MULT CORR +60 MULT CORR +61 MULT CORR +62 MULT CORR +63 MULT CORR +64 MULT CORR +65 MULT CORR +66 MULT CORR +67 MULT CORR +68 MULT CORR +69 MULT CORR +70 MULT CORR +71 MULT CORR +72 MULT CORR +73 MULT CORR +74 MULT CORR +75 MULT CORR +76 MULT CORR +77 MULT CORR +78 MULT CORR +79 MULT CORR +80 MULT CORR +81 MULT CORR +82 MULT CORR +83 MULT CORR +84 MULT CORR +85 MULT CORR +86 MULT CORR +87 MULT CORR +88 MULT CORR +89 MULT CORR +90 MULT CORR +91 MULT THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_10.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_10.dat new file mode 100644 index 0000000000..c96509a35c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_10.dat @@ -0,0 +1,93 @@ +92 +1 MULT ATLASLUMI10 +2 MULT CORR +3 MULT UNCORR +4 MULT UNCORR +5 MULT UNCORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT CORR +27 MULT CORR +28 MULT CORR +29 MULT CORR +30 MULT CORR +31 MULT CORR +32 MULT CORR +33 MULT CORR +34 MULT CORR +35 MULT CORR +36 MULT CORR +37 MULT CORR +38 MULT CORR +39 MULT CORR +40 MULT CORR +41 MULT CORR +42 MULT CORR +43 MULT CORR +44 MULT CORR +45 MULT CORR +46 MULT CORR +47 MULT CORR +48 MULT CORR +49 MULT CORR +50 MULT CORR +51 MULT CORR +52 MULT CORR +53 MULT CORR +54 MULT CORR +55 MULT CORR +56 MULT CORR +57 MULT CORR +58 MULT CORR +59 MULT CORR +60 MULT CORR +61 MULT CORR +62 MULT CORR +63 MULT CORR +64 MULT CORR +65 MULT CORR +66 MULT CORR +67 MULT CORR +68 MULT CORR +69 MULT CORR +70 MULT CORR +71 MULT CORR +72 MULT CORR +73 MULT CORR +74 MULT CORR +75 MULT CORR +76 MULT CORR +77 MULT CORR +78 MULT CORR +79 MULT CORR +80 MULT CORR +81 MULT CORR +82 MULT CORR +83 MULT CORR +84 MULT CORR +85 MULT CORR +86 MULT CORR +87 MULT CORR +88 MULT CORR +89 MULT CORR +90 MULT CORR +91 MULT CORR +92 MULT THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_10.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_10.dat new file mode 100644 index 0000000000..49c29a624c --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_10.dat @@ -0,0 +1,27 @@ +26 +1 MULT CDFLUMI +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 MULT THEORYCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_10.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_10.dat new file mode 100644 index 0000000000..559840b8e8 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_10.dat @@ -0,0 +1,109 @@ +107 +1 MULT CMS2P76LUMI +2 MULT UNCORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT CORR +26 ADD CORR +27 ADD CORR +28 ADD CORR +29 ADD CORR +30 ADD CORR +31 ADD CORR +32 ADD CORR +33 ADD CORR +34 ADD CORR +35 ADD CORR +36 ADD CORR +37 ADD CORR +38 ADD CORR +39 ADD CORR +40 ADD CORR +41 ADD CORR +42 ADD CORR +43 ADD CORR +44 ADD CORR +45 ADD CORR +46 ADD CORR +47 ADD CORR +48 ADD CORR +49 ADD CORR +50 ADD CORR +51 ADD CORR +52 ADD CORR +53 ADD CORR +54 ADD CORR +55 ADD CORR +56 ADD CORR +57 ADD CORR +58 ADD CORR +59 ADD CORR +60 ADD CORR +61 ADD CORR +62 ADD CORR +63 ADD CORR +64 ADD CORR +65 ADD CORR +66 ADD CORR +67 ADD CORR +68 ADD CORR +69 ADD CORR +70 ADD CORR +71 ADD CORR +72 ADD CORR +73 ADD CORR +74 ADD CORR +75 ADD CORR +76 ADD CORR +77 ADD CORR +78 ADD CORR +79 ADD CORR +80 ADD CORR +81 ADD CORR +82 ADD CORR +83 ADD CORR +84 ADD CORR +85 ADD CORR +86 ADD CORR +87 ADD CORR +88 ADD CORR +89 ADD CORR +90 ADD CORR +91 ADD CORR +92 ADD CORR +93 ADD CORR +94 ADD CORR +95 ADD CORR +96 ADD CORR +97 ADD CORR +98 ADD CORR +99 ADD CORR +100 ADD CORR +101 ADD CORR +102 ADD CORR +103 ADD CORR +104 ADD CORR +105 ADD CORR +106 ADD CORR +107 MULT THEORYCORR + diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_10.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_10.dat new file mode 100644 index 0000000000..b8fe26f6a9 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_10.dat @@ -0,0 +1,27 @@ +26 +1 MULT CMSLUMI11 +2 MULT UNCORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT CORR +20 MULT CORR +21 MULT CORR +22 MULT CORR +23 MULT CORR +24 MULT CORR +25 MULT THEORYCORR +26 MULT SKIP From 9d105ec93b79f8cdf2cea68e58abf80ff70c4433 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Fri, 15 Mar 2019 16:46:16 -0400 Subject: [PATCH 202/429] More on renaming data sets --- nnpdfcpp/data/commondata/31systematics/postprocess_jets.sh | 2 +- nnpdfcpp/data/commondata/31systematics/process_jets.sh | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/nnpdfcpp/data/commondata/31systematics/postprocess_jets.sh b/nnpdfcpp/data/commondata/31systematics/postprocess_jets.sh index 1aa9467841..4950ac76f7 100755 --- a/nnpdfcpp/data/commondata/31systematics/postprocess_jets.sh +++ b/nnpdfcpp/data/commondata/31systematics/postprocess_jets.sh @@ -1,6 +1,6 @@ #!/bin/bash # This script takes the results of process_jets and adds extra C-factor errors -SETS=(ATLAS1JET11 CMSJETS11) +SETS=(ATLAS1JET11 CMSJETS11 ATLAS1JET11_SF CMSJETS11_SF) DIRECTORY=. for s in "${SETS[@]}"; do diff --git a/nnpdfcpp/data/commondata/31systematics/process_jets.sh b/nnpdfcpp/data/commondata/31systematics/process_jets.sh index 1cf4634eb8..4869414f42 100755 --- a/nnpdfcpp/data/commondata/31systematics/process_jets.sh +++ b/nnpdfcpp/data/commondata/31systematics/process_jets.sh @@ -1,7 +1,7 @@ #!/bin/bash # This script takes scale variation errors for jet data and appends them to datafiles as an additional systematic -SETS=(ATLAS1JET11 ATLASR04JETS2P76TEV ATLASR04JETS36PB CMS1JET276TEV CMSJETS11 CDFR2KT) +SETS=(ATLAS1JET11 ATLASR04JETS2P76TEV ATLASR04JETS36PB CMS1JET276TEV CMSJETS11 CDFR2KT ATLAS1JET11_SF) DIRECTORY=. for s in "${SETS[@]}"; do From 794558a70b0f7defcbdf7a8cab60df11a9a7b051 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sun, 24 Mar 2019 15:38:51 +0100 Subject: [PATCH 203/429] Updated asymmetric data sets --- .../data/NNLOCFAC/CF_QCD_ATLAS1JET11_SF.dat | 149 +++++++++ .../data/NNLOCFAC/CF_QCD_CMSJETS11_SF.dat | 142 +++++++++ nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat | 2 + .../THSYS-ATLAS1JET11_SF-00-05.dat | 40 +++ .../THSYS-ATLAS1JET11_SF-05-10.dat | 38 +++ .../THSYS-ATLAS1JET11_SF-10-15.dat | 35 +++ .../THSYS-ATLAS1JET11_SF-15-20.dat | 32 ++ .../THSYS-ATLAS1JET11_SF-20-25.dat | 28 ++ .../THSYS-ATLAS1JET11_SF-25-30.dat | 21 ++ .../THSYS-ATLASR04JETS2P76TEV_SF-1.dat | 20 ++ .../THSYS-ATLASR04JETS2P76TEV_SF-2.dat | 20 ++ .../THSYS-ATLASR04JETS2P76TEV_SF-3.dat | 19 ++ .../THSYS-ATLASR04JETS2P76TEV_SF-4.dat | 19 ++ .../THSYS-ATLASR04JETS2P76TEV_SF-5.dat | 17 ++ .../THSYS-ATLASR04JETS2P76TEV_SF-6.dat | 15 + .../THSYS-ATLASR04JETS2P76TEV_SF-7.dat | 12 + .../THSYS-ATLASR04JETS36PB_SF-1.dat | 25 ++ .../THSYS-ATLASR04JETS36PB_SF-2.dat | 25 ++ .../THSYS-ATLASR04JETS36PB_SF-3.dat | 25 ++ .../THSYS-ATLASR04JETS36PB_SF-4.dat | 24 ++ .../THSYS-ATLASR04JETS36PB_SF-5.dat | 21 ++ .../THSYS-ATLASR04JETS36PB_SF-6.dat | 18 ++ .../THSYS-ATLASR04JETS36PB_SF-7.dat | 15 + .../31systematics/THSYS-CDFR2KT_SF-all.dat | 85 ++++++ .../THSYS-CMS1JET276TEV_SF-00-05.dat | 28 ++ .../THSYS-CMS1JET276TEV_SF-05-10.dat | 27 ++ .../THSYS-CMS1JET276TEV_SF-10-15.dat | 25 ++ .../THSYS-CMS1JET276TEV_SF-15-20.dat | 22 ++ .../THSYS-CMS1JET276TEV_SF-20-25.dat | 18 ++ .../THSYS-CMS1JET276TEV_SF-25-30.dat | 15 + .../THSYS-CMSJETS11_SF-00_05.dat | 42 +++ .../THSYS-CMSJETS11_SF-05_10.dat | 39 +++ .../THSYS-CMSJETS11_SF-10_15.dat | 36 +++ .../THSYS-CMSJETS11_SF-15_20.dat | 33 ++ .../THSYS-CMSJETS11_SF-20_25.dat | 28 ++ .../commondata/31systematics/process_jets.sh | 2 +- .../data/commondata/DATA_ATLAS1JET11_SF.dat | 282 +++++++++--------- .../DATA_ATLASR04JETS2P76TEV_SF.dat | 120 ++++---- .../commondata/DATA_ATLASR04JETS36PB_SF.dat | 182 +++++------ nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat | 154 +++++----- .../data/commondata/DATA_CMS1JET276TEV_SF.dat | 164 +++++----- .../data/commondata/DATA_CMSJETS11_SF.dat | 268 ++++++++--------- nnpdfcpp/data/commondata/DATA_POSF2DW.dat | 40 +-- nnpdfcpp/data/commondata/DATA_POSF2S.dat | 40 +-- nnpdfcpp/data/commondata/DATA_POSF2U.dat | 40 +-- nnpdfcpp/data/commondata/DATA_POSFLL.dat | 40 +-- 46 files changed, 1826 insertions(+), 666 deletions(-) create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS1JET11_SF.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_CMSJETS11_SF.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-00-05.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-05-10.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-10-15.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-15-20.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-20-25.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-25-30.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-1.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-2.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-3.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-4.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-5.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-6.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-7.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-1.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-2.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-3.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-4.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-5.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-6.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-7.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CDFR2KT_SF-all.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-00-05.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-05-10.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-10-15.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-15-20.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-20-25.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-25-30.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-00_05.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-05_10.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-10_15.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-15_20.dat create mode 100644 nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-20_25.dat diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS1JET11_SF.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS1JET11_SF.dat new file mode 100644 index 0000000000..d9b55b3137 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS1JET11_SF.dat @@ -0,0 +1,149 @@ +******************************************************************************************* +SetName: ATLAS1JET11 +Author: J. Curry, N. Glover, J. Pires +Date: March 2017 +CodesUsed: Private pp->jj code +TheoryInput: NNPDF3.0 NNLO, alphas(MZ)=0.118, R=0.6 +PDFset: NNPDF30_nnlo_as_0118 +Warnings: Uses average pt as central scale, errors quoted are MC statistical uncertainties. +******************************************************************************************** +9.618090E-01 4.011770E-03 +9.578620E-01 3.953720E-03 +9.649250E-01 4.329370E-03 +9.670370E-01 4.161400E-03 +9.605180E-01 4.105260E-03 +9.710980E-01 4.301840E-03 +9.745430E-01 4.308180E-03 +9.746740E-01 4.564520E-03 +9.804710E-01 4.488400E-03 +9.762350E-01 4.569990E-03 +9.804000E-01 4.876720E-03 +9.851340E-01 4.912330E-03 +9.866520E-01 4.910980E-03 +9.878810E-01 4.947880E-03 +9.873040E-01 5.061210E-03 +9.923360E-01 5.193680E-03 +9.952990E-01 5.420080E-03 +9.896220E-01 5.495780E-03 +9.956420E-01 5.465330E-03 +9.980980E-01 5.965300E-03 +1.000870E+00 6.167030E-03 +1.000690E+00 6.544100E-03 +1.010940E+00 7.076790E-03 +1.020940E+00 7.295720E-03 +1.023200E+00 8.165660E-03 +1.035940E+00 1.010180E-02 +1.019800E+00 1.093240E-02 +1.034320E+00 8.578970E-03 +1.042420E+00 6.973830E-03 +1.065520E+00 6.863710E-03 +1.087220E+00 5.929240E-03 +9.497920E-01 4.321770E-03 +9.649890E-01 4.302580E-03 +9.665990E-01 4.592950E-03 +9.637460E-01 4.491810E-03 +9.688400E-01 4.375740E-03 +9.680730E-01 4.608810E-03 +9.753700E-01 4.548710E-03 +9.732140E-01 4.798200E-03 +9.771700E-01 4.808010E-03 +9.868400E-01 4.797220E-03 +9.816200E-01 5.105870E-03 +9.773390E-01 5.167130E-03 +9.872970E-01 5.159930E-03 +9.886760E-01 5.204360E-03 +9.924410E-01 5.460390E-03 +9.824600E-01 5.680090E-03 +9.960800E-01 5.971140E-03 +9.879670E-01 5.998180E-03 +1.001050E+00 6.290450E-03 +9.866840E-01 6.428390E-03 +1.010440E+00 6.837530E-03 +1.000800E+00 7.831680E-03 +1.007410E+00 7.962530E-03 +1.005940E+00 9.085460E-03 +1.016220E+00 1.013640E-02 +1.014210E+00 1.109600E-02 +1.020070E+00 7.231710E-03 +1.041330E+00 8.494000E-03 +1.056170E+00 6.818350E-03 +9.547930E-01 4.533940E-03 +9.651890E-01 4.488020E-03 +9.751720E-01 4.795580E-03 +9.699980E-01 4.667780E-03 +9.686780E-01 4.533780E-03 +9.658220E-01 4.782100E-03 +9.857440E-01 4.800440E-03 +9.714430E-01 5.058900E-03 +9.813470E-01 5.044540E-03 +9.838800E-01 5.103660E-03 +9.804880E-01 5.486290E-03 +9.836910E-01 5.679160E-03 +9.826400E-01 5.577880E-03 +9.906190E-01 5.726290E-03 +9.836060E-01 5.860720E-03 +9.889930E-01 6.156340E-03 +9.874300E-01 6.577780E-03 +9.881950E-01 6.890890E-03 +9.847570E-01 7.274080E-03 +9.926840E-01 8.299030E-03 +9.896600E-01 8.649960E-03 +9.896110E-01 9.451120E-03 +1.009860E+00 1.126750E-02 +1.000390E+00 1.243670E-02 +1.004970E+00 9.287420E-03 +1.020140E+00 9.031050E-03 +9.589990E-01 4.924230E-03 +9.562610E-01 4.817750E-03 +9.660880E-01 5.160470E-03 +9.590130E-01 5.030780E-03 +9.680000E-01 4.968680E-03 +9.747630E-01 5.281710E-03 +9.748600E-01 5.299310E-03 +9.730460E-01 5.679830E-03 +9.734550E-01 5.947510E-03 +9.723850E-01 6.056970E-03 +9.739290E-01 6.597970E-03 +9.757130E-01 6.889690E-03 +9.742370E-01 6.885540E-03 +9.797390E-01 7.392260E-03 +9.828570E-01 8.157450E-03 +9.781730E-01 9.078030E-03 +9.819810E-01 9.412450E-03 +9.752670E-01 1.207660E-02 +9.697190E-01 1.262280E-02 +9.708240E-01 1.481820E-02 +9.917940E-01 1.668480E-02 +9.880970E-01 1.285600E-02 +1.013630E+00 1.921140E-02 +9.562720E-01 5.563180E-03 +9.559610E-01 5.494600E-03 +9.614180E-01 5.888630E-03 +9.675850E-01 6.112960E-03 +9.628830E-01 5.988560E-03 +9.589270E-01 6.831590E-03 +9.621070E-01 6.889090E-03 +9.791680E-01 7.481880E-03 +9.565890E-01 8.393600E-03 +9.685840E-01 8.772810E-03 +9.705100E-01 1.035000E-02 +9.417430E-01 1.128480E-02 +9.641650E-01 1.347100E-02 +9.379140E-01 1.461010E-02 +9.457560E-01 1.760620E-02 +9.500790E-01 2.173250E-02 +9.599240E-01 2.726160E-02 +9.499720E-01 2.757790E-02 +1.019050E+00 3.796460E-02 +9.381290E-01 7.115450E-03 +9.423670E-01 7.198700E-03 +9.608040E-01 8.186510E-03 +9.265390E-01 8.366690E-03 +9.490620E-01 9.261000E-03 +9.397050E-01 1.077320E-02 +9.369260E-01 1.212630E-02 +9.315500E-01 1.477460E-02 +9.217920E-01 1.871280E-02 +9.119350E-01 2.296890E-02 +9.068350E-01 2.193610E-02 +9.116110E-01 3.433390E-02 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMSJETS11_SF.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMSJETS11_SF.dat new file mode 100644 index 0000000000..3315a49860 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMSJETS11_SF.dat @@ -0,0 +1,142 @@ +******************************************************************************************* +SetName: CMSJETS11 +Author: J. Curry, N. Glover, J. Pires +Date: March 2017 +CodesUsed: Private pp->jj code +TheoryInput: MMHT2014 NNLO, alphas(MZ)=0.118 +PDFset: MMHT2014nnlo68cl +Warnings: Uses pt_jet as central scale rather than pt_leading. 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b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat @@ -25,6 +25,7 @@ NRM LHCBWZMU8TEV LHCBWZMU8TEV NRM LHCBWZMU7TEV_PI LHCBWZMU7TEV NRM LHCBWZMU8TEV_PI LHCBWZMU8TEV QCD ATLAS1JET11 ATLAS1JET11 +QCD ATLAS1JET11_SF ATLAS1JET11_SF QCD ATLASLOMASSDY11 ATLASLOMASSDY11 QCD ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT QCD ATLASR04JETS2P76TEV ATLASR04JETS2P76TEV @@ -64,6 +65,7 @@ QCD CDFZRAP CDFZRAP QCD CMSDY2D11 CMSDY2D11 QCD CMSDY2D12 CMSDY2D12 QCD CMSJETS11 CMSJETS11 +QCD CMSJETS11_SF CMSJETS11_SF QCD CMSTOPDIFF8TEVTPT CMSTOPDIFF8TEVTPT QCD CMSTOPDIFF8TEVTRAP CMSTOPDIFF8TEVTRAP QCD CMSTOPDIFF8TEVTTM CMSTOPDIFF8TEVTTM diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-00-05.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-00-05.dat new file mode 100644 index 0000000000..8e6751554b --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-00-05.dat @@ -0,0 +1,40 @@ +******************************************************************************************* +SetName = ATLAS1JET11_SF +APPLgridName = ATLAS1JET11-R06-y-00-05.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.29 -6.34 5.39e+03 +1 2.34 -6.55 2.5e+03 +2 2.49 -6.78 1.22e+03 +3 2.53 -6.94 617 +4 2.59 -7.1 314 +5 2.75 -7.31 166 +6 2.71 -7.36 90.3 +7 2.93 -7.61 50.7 +8 2.9 -7.66 29 +9 2.95 -7.76 16.6 +10 3.1 -7.94 9.74 +11 3.19 -8.07 5.82 +12 3.28 -8.2 3.48 +13 3.34 -8.31 2.08 +14 3.39 -8.39 1.25 +15 3.57 -8.61 0.752 +16 3.45 -8.56 0.45 +17 3.71 -8.83 0.273 +18 3.73 -8.92 0.165 +19 3.88 -9.11 0.1 +20 4.01 -9.31 0.0609 +21 4.05 -9.42 0.0369 +22 4.14 -9.59 0.0224 +23 4.34 -9.85 0.0135 +24 4.53 -10 0.008 +25 4.49 -10.1 0.00471 +26 5.01 -10.4 0.00277 +27 5.33 -10.7 0.00148 +28 5.94 -11.1 0.000588 +29 6.68 -11.7 0.000142 +30 8.07 -12.7 1.35e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-05-10.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-05-10.dat new file mode 100644 index 0000000000..3c6fc351cb --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-05-10.dat @@ -0,0 +1,38 @@ +******************************************************************************************* +SetName = ATLAS1JET11_SF +APPLgridName = ATLAS1JET11-R06-y-05-10.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.36 -6.44 5.02e+03 +1 2.34 -6.59 2.31e+03 +2 2.58 -6.89 1.12e+03 +3 2.53 -6.98 564 +4 2.65 -7.17 286 +5 2.65 -7.27 150 +6 2.84 -7.49 81.5 +7 2.81 -7.55 45.1 +8 2.94 -7.73 25.8 +9 3.1 -7.92 14.7 +10 2.99 -7.91 8.52 +11 3.26 -8.19 5.09 +12 3.13 -8.15 2.99 +13 3.29 -8.35 1.78 +14 3.4 -8.52 1.06 +15 3.51 -8.68 0.628 +16 3.44 -8.7 0.371 +17 3.62 -8.93 0.221 +18 3.68 -9.06 0.131 +19 3.85 -9.3 0.0781 +20 3.71 -9.27 0.0458 +21 3.93 -9.56 0.0272 +22 3.91 -9.65 0.0159 +23 3.94 -9.77 0.0092 +24 4.06 -10 0.00524 +25 4.32 -10.3 0.00298 +26 4.28 -10.4 0.00117 +27 4.81 -10.9 0.000291 +28 5.57 -11.6 2.15e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-10-15.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-10-15.dat new file mode 100644 index 0000000000..4e953023cb --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-10-15.dat @@ -0,0 +1,35 @@ +******************************************************************************************* +SetName = ATLAS1JET11_SF +APPLgridName = ATLAS1JET11-R06-y-10-15.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.47 -6.61 4.34e+03 +1 2.26 -6.63 1.96e+03 +2 2.39 -6.85 936 +3 2.73 -7.2 472 +4 2.75 -7.32 236 +5 2.73 -7.43 122 +6 2.86 -7.61 65.3 +7 3.04 -7.84 35.9 +8 2.93 -7.86 20.1 +9 3.02 -8.01 11.2 +10 3.14 -8.22 6.42 +11 2.99 -8.19 3.69 +12 3.18 -8.43 2.14 +13 3.19 -8.54 1.23 +14 3.19 -8.66 0.7 +15 3.09 -8.68 0.396 +16 3.26 -8.93 0.225 +17 3.17 -8.97 0.126 +18 3.13 -9.04 0.0698 +19 3.22 -9.23 0.0386 +20 3.08 -9.23 0.0209 +21 3.12 -9.38 0.0113 +22 3.28 -9.64 0.00603 +23 3.2 -9.67 0.0031 +24 3.1 -9.75 0.00114 +25 3.08 -10 4.32e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-15-20.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-15-20.dat new file mode 100644 index 0000000000..ab73244c3c --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-15-20.dat @@ -0,0 +1,32 @@ +******************************************************************************************* +SetName = ATLAS1JET11_SF +APPLgridName = ATLAS1JET11-R06-y-15-20.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.13 -6.53 3.38e+03 +1 2.65 -7.02 1.54e+03 +2 2.56 -7.11 714 +3 2.6 -7.26 349 +4 2.52 -7.34 170 +5 2.83 -7.7 86.3 +6 2.84 -7.84 44.7 +7 2.6 -7.8 23.4 +8 2.86 -8.13 12.7 +9 2.71 -8.15 6.72 +10 2.63 -8.24 3.6 +11 2.61 -8.35 1.95 +12 2.72 -8.59 1.04 +13 2.23 -8.33 0.539 +14 2.35 -8.56 0.279 +15 2.2 -8.56 0.14 +16 2.22 -8.71 0.0695 +17 1.91 -8.49 0.0331 +18 1.99 -8.66 0.0156 +19 1.77 -8.41 0.00704 +20 1.83 -8.58 0.00313 +21 1.54 -8.35 0.00067 +22 0.905 -8.07 5.71e-06 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-20-25.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-20-25.dat new file mode 100644 index 0000000000..2cb9a78e1d --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-20-25.dat @@ -0,0 +1,28 @@ +******************************************************************************************* +SetName = ATLAS1JET11_SF +APPLgridName = ATLAS1JET11-R06-y-20-25.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.32 -6.86 2.4e+03 +1 2.43 -7.11 1.04e+03 +2 2.47 -7.34 467 +3 2.3 -7.41 216 +4 2.25 -7.56 99.3 +5 2.17 -7.71 46.3 +6 2.24 -7.94 22.1 +7 1.46 -7.47 10.3 +8 1.71 -7.92 4.98 +9 1.67 -7.95 2.3 +10 1.64 -7.92 1.05 +11 1.49 -7.8 0.474 +12 1.29 -7.56 0.205 +13 1.34 -7.73 0.0857 +14 0.24 -6.7 0.0324 +15 0.655 -7.13 0.0125 +16 0.185 -7.17 0.00436 +17 0 -9.64 0.000892 +18 0 -15.6 2.36e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-25-30.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-25-30.dat new file mode 100644 index 0000000000..f7621819a0 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLAS1JET11_SF-25-30.dat @@ -0,0 +1,21 @@ +******************************************************************************************* +SetName = ATLAS1JET11_SF +APPLgridName = ATLAS1JET11-R06-y-25-30.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.2 -7.21 1.41e+03 +1 1.84 -7.25 552 +2 1.67 -7.41 221 +3 1.44 -7.41 89.4 +4 1.44 -7.32 34.4 +5 1.31 -7.19 13 +6 0.959 -6.68 4.83 +7 0.985 -6.95 1.79 +8 0.465 -6.79 0.623 +9 0 -8.7 0.202 +10 0 -12.1 0.0384 +11 0.612 -18.7 0.00166 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-1.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-1.dat new file mode 100644 index 0000000000..e7b77db29e --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-1.dat @@ -0,0 +1,20 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta1.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.28 -5.68 1.77e+03 +1 1.18 -4.69 246 +2 0.92 -4.77 40 +3 0.561 -5.12 8.69 +4 0.437 -5.77 1.64 +5 0.56 -6.52 0.224 +6 0.808 -7.28 0.0282 +7 1.28 -7.95 0.00547 +8 1.93 -8.58 0.00136 +9 2.58 -9.3 0.000279 +10 3.54 -10.5 3.61e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-2.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-2.dat new file mode 100644 index 0000000000..0c6c33a937 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-2.dat @@ -0,0 +1,20 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta2.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.12 -8.39 1.66e+03 +1 1.22 -5.43 235 +2 0.947 -5.37 38 +3 0.621 -5.45 8.19 +4 0.318 -5.54 1.53 +5 0.463 -6.35 0.207 +6 0.771 -7.24 0.0257 +7 1.18 -7.97 0.00487 +8 1.84 -8.64 0.00117 +9 2.4 -9.34 0.000229 +10 3.18 -10.4 2.67e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-3.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-3.dat new file mode 100644 index 0000000000..92cf754ba5 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-3.dat @@ -0,0 +1,19 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta3.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.28 -7.28 1.57e+03 +1 1.22 -5.03 217 +2 0.9 -5.16 34.4 +3 0.544 -5.19 7.26 +4 0.393 -5.88 1.33 +5 0.635 -6.74 0.175 +6 1 -7.67 0.0204 +7 1.27 -8.27 0.00353 +8 1.63 -8.86 0.000758 +9 1.95 -9.43 0.000125 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-4.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-4.dat new file mode 100644 index 0000000000..e75da04c5a --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-4.dat @@ -0,0 +1,19 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta4.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.48 -8.23 1.29e+03 +1 1.35 -5.96 169 +2 0.968 -6.05 25.7 +3 0.514 -5.71 5.17 +4 0.464 -6.15 0.883 +5 0.644 -6.89 0.0999 +6 0.826 -7.64 0.00875 +7 0.915 -8.09 0.00108 +8 0.976 -8.45 0.000161 +9 0.755 -8.42 1.68e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-5.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-5.dat new file mode 100644 index 0000000000..d71846c9a7 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-5.dat @@ -0,0 +1,17 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta5.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.52 -6.37 881 +1 1.15 -5.49 104 +2 0.577 -5.44 13.7 +3 0.544 -6.37 2.24 +4 0.373 -8.12 0.266 +5 0 -10.9 0.0151 +6 0.133 -18.1 0.000346 +7 1.99 -29.9 7.18e-06 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-6.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-6.dat new file mode 100644 index 0000000000..5281d3f72d --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-6.dat @@ -0,0 +1,15 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta6.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.31 -6.16 465 +1 0.971 -7.49 41.4 +2 0.655 -11.5 3.22 +3 0.908 -17.5 0.267 +4 1.45 -23.8 0.0112 +5 6.56 -50.1 7.55e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-7.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-7.dat new file mode 100644 index 0000000000..7b727f5f80 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS2P76TEV_SF-7.dat @@ -0,0 +1,12 @@ +******************************************************************************************* +SetName = ATLASR04JETS2P76TEV +APPLgridName = atlas-incljets-eta7.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.44 -11.9 101 +1 2.21 -25.3 3.04 +2 8.87 -55.8 0.0304 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-1.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-1.dat new file mode 100644 index 0000000000..4ee653e1b7 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-1.dat @@ -0,0 +1,25 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta1.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.18 -5.49 5.97e+06 +1 0.713 -5.74 9.55e+05 +2 0.857 -4.62 1.83e+05 +3 0.843 -3.46 4.61e+04 +4 0.756 -3.33 1.03e+04 +5 0.561 -3.81 1.75e+03 +6 0.306 -4.37 291 +7 0.388 -4.93 72.9 +8 0.393 -5.15 23.1 +9 0.527 -5.64 6.56 +10 0.642 -5.99 1.44 +11 1.07 -6.58 0.374 +12 1.5 -7.06 0.0776 +13 2.31 -8 0.0107 +14 2.89 -8.81 0.00186 +15 3.51 -9.75 0.000276 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-2.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-2.dat new file mode 100644 index 0000000000..ef40df96c7 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-2.dat @@ -0,0 +1,25 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta2.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.7 -8.15 5.65e+06 +1 0.576 -6.59 9.22e+05 +2 0.87 -4.82 1.78e+05 +3 0.912 -3.97 4.42e+04 +4 0.811 -3.76 9.77e+03 +5 0.572 -3.77 1.67e+03 +6 0.31 -4.27 274 +7 0.266 -4.66 67.8 +8 0.357 -5.13 21.5 +9 0.488 -5.56 6.06 +10 0.632 -6 1.31 +11 0.941 -6.55 0.334 +12 1.41 -7.08 0.0674 +13 2.08 -7.94 0.00869 +14 2.63 -8.76 0.00138 +15 3.09 -9.57 0.000181 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-3.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-3.dat new file mode 100644 index 0000000000..38641251aa --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-3.dat @@ -0,0 +1,25 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta3.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.28 -8.07 5.39e+06 +1 0.655 -6.97 8.64e+05 +2 0.956 -4.26 1.68e+05 +3 0.898 -4.22 4.06e+04 +4 0.82 -3.67 8.95e+03 +5 0.569 -3.93 1.49e+03 +6 0.344 -4.68 243 +7 0.359 -4.99 59 +8 0.438 -5.31 18.3 +9 0.641 -5.88 5.03 +10 0.854 -6.42 1.05 +11 0.97 -6.71 0.247 +12 1.34 -7.31 0.045 +13 1.58 -7.89 0.0046 +14 1.93 -8.56 0.000545 +15 2.12 -9.06 4.76e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-4.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-4.dat new file mode 100644 index 0000000000..1420becab2 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-4.dat @@ -0,0 +1,24 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta4.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 0.187 -9.57 4.67e+06 +1 0.693 -6.97 7.45e+05 +2 0.99 -5.92 1.35e+05 +3 1.02 -4.46 3.26e+04 +4 0.855 -4.09 6.99e+03 +5 0.551 -4.09 1.11e+03 +6 0.287 -4.61 169 +7 0.438 -5.23 38.7 +8 0.54 -5.61 11.1 +9 0.643 -5.98 2.7 +10 0.746 -6.38 0.453 +11 0.757 -6.61 0.0828 +12 0.85 -6.97 0.0107 +13 0.845 -7.29 0.000596 +14 0.714 -7.49 3.56e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-5.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-5.dat new file mode 100644 index 0000000000..29cfbc260d --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-5.dat @@ -0,0 +1,21 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta5.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 0.176 -9.5 3.6e+06 +1 0.821 -6.79 5.4e+05 +2 1.06 -4.62 9.38e+04 +3 0.932 -4.1 2.1e+04 +4 0.629 -4.05 4.19e+03 +5 0.393 -4.45 576 +6 0.492 -5.18 68.7 +7 0.357 -5.81 11.2 +8 0.0585 -7.23 2.17 +9 0 -9.08 0.307 +10 0 -12.4 0.0195 +11 0.779 -18.3 0.000959 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-6.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-6.dat new file mode 100644 index 0000000000..9f7e0871df --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-6.dat @@ -0,0 +1,18 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta6.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 0.533 -8.11 2.47e+06 +1 1 -5.68 3.38e+05 +2 0.96 -4.3 5.17e+04 +3 0.646 -3.96 1.03e+04 +4 0.482 -5.45 1.56e+03 +5 0.358 -7.65 137 +6 0.537 -12.3 6.96 +7 1.33 -18.7 0.416 +8 3.4 -28.9 0.0232 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-7.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-7.dat new file mode 100644 index 0000000000..117313cac4 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-ATLASR04JETS36PB_SF-7.dat @@ -0,0 +1,15 @@ +******************************************************************************************* +SetName = ATLASR04JETS36PB +APPLgridName = atlas-incljets-eta7.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) 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b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-00-05.dat new file mode 100644 index 0000000000..bbc96db3a7 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-00-05.dat @@ -0,0 +1,28 @@ +******************************************************************************************* +SetName = CMS1JET276TEV +APPLgridName = CMS1JET276TEV-R07_y_00-05.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.52 -8.14 4.54e+03 +1 3.32 -8.8 2.16e+03 +2 3.17 -8.83 891 +3 3.7 -9.33 353 +4 3.85 -9.57 143 +5 3.97 -9.76 61.6 +6 4.49 -10.3 28.1 +7 4.65 -10.5 12.9 +8 4.85 -10.7 6.05 +9 4.85 -10.9 2.85 +10 5.15 -11.2 1.37 +11 5.46 -11.6 0.664 +12 5.58 -11.9 0.316 +13 6.19 -12.2 0.151 +14 7.01 -12.7 0.0725 +15 7.76 -13.2 0.0337 +16 7.27 -13.2 0.0149 +17 8.51 -13.8 0.00667 +18 9.3 -14.3 0.00285 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-05-10.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-05-10.dat new file mode 100644 index 0000000000..cb9b8d9889 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-05-10.dat @@ -0,0 +1,27 @@ +******************************************************************************************* +SetName = CMS1JET276TEV +APPLgridName = CMS1JET276TEV-R07_y_05-10.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.24 -8.01 4.09e+03 +1 3.04 -8.68 1.93e+03 +2 3.23 -8.93 796 +3 3.67 -9.38 311 +4 3.65 -9.51 124 +5 4.21 -10 53.5 +6 4.34 -10.3 23.7 +7 4.52 -10.5 10.7 +8 4.75 -10.9 4.91 +9 4.73 -11 2.24 +10 5.15 -11.5 1.05 +11 5.27 -11.8 0.483 +12 5.21 -11.9 0.217 +13 5.86 -12.4 0.0983 +14 5.48 -12.4 0.0429 +15 6.67 -13.1 0.0185 +16 6.71 -13.3 0.00748 +17 7.28 -13.7 0.00297 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-10-15.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-10-15.dat new file mode 100644 index 0000000000..9fe37de0bb --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-10-15.dat @@ -0,0 +1,25 @@ +******************************************************************************************* +SetName = CMS1JET276TEV +APPLgridName = CMS1JET276TEV-R07_y_10-15.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.09 -8.68 3.42e+03 +1 2.67 -8.54 1.54e+03 +2 3.08 -8.98 624 +3 3.63 -9.53 238 +4 3.66 -9.76 92 +5 3.9 -10.1 37.5 +6 4 -10.4 15.7 +7 4.17 -10.7 6.65 +8 4.38 -11.1 2.8 +9 4.22 -11.2 1.16 +10 4.16 -11.3 0.474 +11 4.31 -11.6 0.191 +12 4.39 -11.9 0.0735 +13 4.28 -12 0.0271 +14 4.59 -12.5 0.00978 +15 4.67 -12.8 0.00325 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-15-20.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-15-20.dat new file mode 100644 index 0000000000..bcac356e18 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-15-20.dat @@ -0,0 +1,22 @@ +******************************************************************************************* +SetName = CMS1JET276TEV +APPLgridName = CMS1JET276TEV-R07_y_15-20.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 2.99 -8.86 2.44e+03 +1 2.25 -8.59 1.05e+03 +2 3.25 -9.47 411 +3 2.97 -9.54 141 +4 3.56 -10.3 50.1 +5 3.01 -10.1 17.5 +6 3.05 -10.4 6.29 +7 3.04 -10.6 2.19 +8 2.77 -10.7 0.728 +9 2.15 -10.1 0.227 +10 2.59 -10.7 0.0694 +11 2.61 -10.9 0.0197 +12 1.81 -10.1 0.0048 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-20-25.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-20-25.dat new file mode 100644 index 0000000000..c55b612860 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-20-25.dat @@ -0,0 +1,18 @@ +******************************************************************************************* +SetName = CMS1JET276TEV +APPLgridName = CMS1JET276TEV-R07_y_20-25.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.69 -8.58 1.34e+03 +1 1.76 -8.89 533 +2 1.62 -9.02 173 +3 1.66 -9.07 47.5 +4 1.75 -9.4 12.5 +5 1.27 -8.97 3.09 +6 1.28 -9.18 0.746 +7 0.353 -8.99 0.157 +8 0 -11.2 0.029 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-25-30.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-25-30.dat new file mode 100644 index 0000000000..720a787b08 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMS1JET276TEV_SF-25-30.dat @@ -0,0 +1,15 @@ +******************************************************************************************* +SetName = CMS1JET276TEV +APPLgridName = CMS1JET276TEV-R07_y_25-30.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 1.29 -8.48 415 +1 0.906 -8.11 123 +2 0.349 -9.63 26.1 +3 0.0444 -11.1 4.12 +4 0 -17.1 0.502 +5 1.82 -30.7 0.044 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-00_05.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-00_05.dat new file mode 100644 index 0000000000..4abcad7f64 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-00_05.dat @@ -0,0 +1,42 @@ +******************************************************************************************* +SetName = CMSJETS11 +APPLgridName = CMSJETS2011-R07-y_00_05.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.87 -7.46 2.8e+03 +1 3.77 -7.59 1.27e+03 +2 3.81 -7.79 611 +3 3.81 -7.92 307 +4 3.92 -8.12 159 +5 4 -8.29 84.3 +6 3.92 -8.34 45.3 +7 4.02 -8.51 24.9 +8 4.21 -8.73 14 +9 4 -8.66 7.83 +10 4.2 -8.88 4.5 +11 4.27 -9.01 2.62 +12 4.2 -9.03 1.51 +13 4.3 -9.19 0.881 +14 4.49 -9.41 0.522 +15 4.53 -9.52 0.308 +16 4.52 -9.58 0.181 +17 4.67 -9.74 0.107 +18 5.01 -9.97 0.0633 +19 5.17 -10.1 0.0372 +20 5.25 -10.2 0.0218 +21 5.56 -10.5 0.0127 +22 5.69 -10.6 0.00731 +23 6.3 -11 0.00421 +24 6.41 -11.1 0.00236 +25 6.56 -11.3 0.0013 +26 7.07 -11.6 0.000715 +27 7.4 -11.9 0.00038 +28 7.72 -12.2 0.000198 +29 8.34 -12.6 0.000101 +30 8.51 -12.8 4.9e-05 +31 9.3 -13.3 1.67e-05 +32 10.4 -14 2.29e-06 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-05_10.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-05_10.dat new file mode 100644 index 0000000000..603dd39a9e --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-05_10.dat @@ -0,0 +1,39 @@ +******************************************************************************************* +SetName = CMSJETS11 +APPLgridName = CMSJETS2011-R07-y_05_10.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.77 -7.46 2.58e+03 +1 3.89 -7.72 1.17e+03 +2 3.71 -7.76 557 +3 3.9 -8.02 280 +4 3.9 -8.15 144 +5 3.98 -8.31 75.6 +6 3.96 -8.41 40.5 +7 4.02 -8.55 22.1 +8 4.06 -8.67 12.3 +9 4.13 -8.82 6.88 +10 4.18 -8.95 3.9 +11 4.24 -9.08 2.25 +12 4.25 -9.18 1.29 +13 4.36 -9.36 0.741 +14 4.3 -9.39 0.429 +15 4.36 -9.54 0.249 +16 4.5 -9.76 0.144 +17 4.51 -9.84 0.083 +18 4.81 -10.1 0.0479 +19 4.59 -10.1 0.0271 +20 5.06 -10.4 0.0155 +21 4.99 -10.4 0.00862 +22 5.42 -10.7 0.00478 +23 5.39 -10.8 0.00258 +24 5.57 -11 0.00137 +25 5.99 -11.3 0.000714 +26 6.16 -11.5 0.000361 +27 6.27 -11.7 0.000176 +28 6.78 -12 8.39e-05 +29 7.01 -12.4 1.53e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-10_15.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-10_15.dat new file mode 100644 index 0000000000..fd5e114a88 --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-10_15.dat @@ -0,0 +1,36 @@ +******************************************************************************************* +SetName = CMSJETS11 +APPLgridName = CMSJETS2011-R07-y_10_15.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.73 -7.53 2.2e+03 +1 3.76 -7.72 981 +2 3.97 -8.02 466 +3 3.88 -8.1 230 +4 3.89 -8.24 116 +5 4.01 -8.46 60.5 +6 3.96 -8.54 31.9 +7 4.01 -8.7 17.1 +8 4.06 -8.85 9.32 +9 4.04 -8.94 5.09 +10 4.04 -9.08 2.8 +11 4.13 -9.25 1.57 +12 4.08 -9.34 0.863 +13 4.05 -9.44 0.475 +14 3.95 -9.5 0.262 +15 3.99 -9.65 0.143 +16 3.87 -9.67 0.0771 +17 3.82 -9.76 0.0412 +18 4.09 -10.1 0.022 +19 3.95 -10.1 0.0113 +20 3.87 -10.2 0.00575 +21 3.84 -10.3 0.00284 +22 3.82 -10.4 0.00136 +23 3.82 -10.5 0.000634 +24 3.73 -10.6 0.000282 +25 3.86 -10.9 0.000122 +26 3.67 -10.9 1.18e-05 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-15_20.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-15_20.dat new file mode 100644 index 0000000000..b570bf45cf --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-15_20.dat @@ -0,0 +1,33 @@ +******************************************************************************************* +SetName = CMSJETS11 +APPLgridName = CMSJETS2011-R07-y_15_20.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.75 -7.68 1.7e+03 +1 3.78 -7.89 745 +2 4.02 -8.22 347 +3 3.85 -8.27 166 +4 3.78 -8.39 81.7 +5 3.81 -8.57 40.9 +6 3.76 -8.7 20.7 +7 3.66 -8.78 10.6 +8 3.58 -8.88 5.42 +9 3.66 -9.12 2.78 +10 3.4 -9.07 1.41 +11 3.36 -9.19 0.716 +12 3.29 -9.3 0.356 +13 3.29 -9.45 0.174 +14 2.66 -9.08 0.0823 +15 2.75 -9.27 0.0388 +16 2.77 -9.45 0.0176 +17 2.56 -9.38 0.00774 +18 2.27 -9.17 0.00325 +19 2.37 -9.36 0.00132 +20 1.95 -8.91 0.0005 +21 2.11 -9.24 0.000183 +22 1.95 -9.21 6.04e-05 +23 0.957 -8.44 5.41e-06 diff --git a/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-20_25.dat b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-20_25.dat new file mode 100644 index 0000000000..572ce947ab --- /dev/null +++ b/nnpdfcpp/data/commondata/31systematics/THSYS-CMSJETS11_SF-20_25.dat @@ -0,0 +1,28 @@ +******************************************************************************************* +SetName = CMSJETS11 +APPLgridName = CMSJETS2011-R07-y_20_25.root +Author = Juan Rojo +Date = 17/06/2016 +CodeUsed = applgrids +TheorySettings = scales of NLO calculation varied +(muR,muF) = (1,1) (1,0.5) (0.5,1.0) (0.5,0.5) (1,2.0) (2.0,1.0) (2.0,2.0) +******************************************************************************************* +0 3.81 -7.98 1.17e+03 +1 3.52 -8.04 485 +2 3.4 -8.17 212 +3 3.55 -8.48 96.3 +4 3.41 -8.63 43.8 +5 2.96 -8.51 19.7 +6 3.06 -8.8 8.98 +7 2.65 -8.7 3.98 +8 2.39 -8.71 1.75 +9 2.14 -8.69 0.743 +10 1.95 -8.55 0.307 +11 1.98 -8.66 0.125 +12 1.76 -8.44 0.0471 +13 1.11 -7.64 0.0165 +14 1.17 -7.95 0.00576 +15 0.351 -7.07 0.00177 +16 0 -8.79 0.000492 +17 0 -11.6 0.000119 +18 0 -17.6 6.03e-06 diff --git a/nnpdfcpp/data/commondata/31systematics/process_jets.sh b/nnpdfcpp/data/commondata/31systematics/process_jets.sh index 4869414f42..64ce1ff37c 100755 --- a/nnpdfcpp/data/commondata/31systematics/process_jets.sh +++ b/nnpdfcpp/data/commondata/31systematics/process_jets.sh @@ -1,7 +1,7 @@ #!/bin/bash # This script takes scale variation errors for jet data and appends them to datafiles as an additional systematic -SETS=(ATLAS1JET11 ATLASR04JETS2P76TEV ATLASR04JETS36PB CMS1JET276TEV CMSJETS11 CDFR2KT ATLAS1JET11_SF) +SETS=(ATLAS1JET11 ATLASR04JETS2P76TEV ATLASR04JETS36PB CMS1JET276TEV CMSJETS11 CDFR2KT ATLAS1JET11_SF ATLASR04JETS2P76TEV_SF ATLASR04JETS36PB_SF CMS1JET276TEV_SF CMSJETS11_SF CDFR2KT_SF) DIRECTORY=. for s in "${SETS[@]}"; do diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat index 23c65bc55b..308818a162 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat @@ -1,141 +1,141 @@ -ATLAS1JET11 404 140 - 1 JET 2.500000000000e-01 1.166400000000e+04 7.000000000000e+03 5.344908800000e+03 4.855532411012e+01 6.992744183040e+01 1.308300000000e+00 0.000000000000e+00 0.000000000000e+00 2.242189241600e+01 4.195000000000e-01 2.773473176320e+01 5.189000000000e-01 3.138637345536e+02 5.872200000000e+00 1.615177990272e+02 3.021900000000e+00 2.447968230400e+00 4.580000000000e-02 2.357104780800e+00 4.410000000000e-02 4.382825216000e+00 8.200000000000e-02 4.185063590400e+00 7.830000000000e-02 6.376476198400e+00 1.193000000000e-01 1.494970991360e+01 2.797000000000e-01 2.291896893440e+01 4.288000000000e-01 2.924734095360e+01 5.472000000000e-01 1.484815664640e+01 2.778000000000e-01 -2.886250752000e-01 -5.400000000000e-03 -9.353590400000e-01 -1.750000000000e-02 8.605303168000e-01 1.610000000000e-02 1.443125376000e+00 2.700000000000e-02 4.917316096000e+00 9.200000000000e-02 3.217635097600e+00 6.020000000000e-02 3.377982361600e+00 6.320000000000e-02 -2.832801664000e-01 -5.300000000000e-03 -4.329376128000e-01 -8.100000000000e-03 -6.948381440000e-02 -1.300000000000e-03 1.068981760000e-02 2.000000000000e-04 5.344908800000e-03 1.000000000000e-04 1.068981760000e-02 2.000000000000e-04 5.344908800000e-03 1.000000000000e-04 3.206945280000e-02 6.000000000000e-04 8.017363200000e-02 1.500000000000e-03 -2.137963520000e-02 -4.000000000000e-04 -5.344908800000e-03 -1.000000000000e-04 -0.000000000000e+00 -0.000000000000e+00 -1.603472640000e-02 -3.000000000000e-04 5.344908800000e-03 1.000000000000e-04 5.344908800000e-03 1.000000000000e-04 -0.000000000000e+00 -0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -2.832801664000e-01 -5.300000000000e-03 -5.451806976000e-01 -1.020000000000e-02 -1.496574464000e-01 -2.800000000000e-03 -2.832801664000e-01 -5.300000000000e-03 -1.068981760000e-01 -2.000000000000e-03 -3.206945280000e-01 -6.000000000000e-03 -2.672454400000e-01 -5.000000000000e-03 -4.650070656000e-01 -8.700000000000e-03 3.893766060800e+01 7.285000000000e-01 1.803372229120e+01 3.374000000000e-01 5.403702796800e+00 1.011000000000e-01 2.651074764800e+01 4.960000000000e-01 3.916214677760e+01 7.327000000000e-01 5.972401093120e+01 1.117400000000e+00 -7.000761546240e+01 -1.309800000000e+00 -4.761779249920e+01 -8.909000000000e-01 -1.433504540160e+02 -2.682000000000e+00 0.000000000000e+00 0.000000000000e+00 5.201130753280e+01 9.731000000000e-01 2.506762227200e+00 4.690000000000e-02 2.178050336000e+01 4.075000000000e-01 1.009599823232e+02 1.888900000000e+00 -1.389676288000e+00 -2.600000000000e-02 4.671450291200e+00 8.740000000000e-02 1.636397278208e+02 3.061600000000e+00 2.677799308800e+00 5.010000000000e-02 7.942534476800e+00 1.486000000000e-01 2.672454400000e+01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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a/nnpdfcpp/data/commondata/DATA_ATLASR04JETS2P76TEV_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASR04JETS2P76TEV_SF.dat index 794d1435a5..b6d2afeda2 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLASR04JETS2P76TEV_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLASR04JETS2P76TEV_SF.dat @@ -1,60 +1,60 @@ -ATLASR04JETS2P76TEV 90 59 - 1 JET 1.500000000000e-01 6.250000000000e+02 2.760000000000e+03 1.486363636364e+03 2.526818181818e+01 4.013181818182e+01 2.700000000000e+00 1.593446193276e+02 1.072043310461e+01 1.486363636364e+01 1.000000000000e+00 7.431818181818e+00 5.000000000000e-01 1.717184272109e+02 1.155292170838e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.648457017089e+02 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.500000000000e-01 4.900000000000e+03 2.760000000000e+03 7.700000000000e+00 8.470000000000e-02 2.079000000000e-01 2.700000000000e+00 4.494585847334e-01 5.837124477058e+00 7.700000000000e-02 1.000000000000e+00 3.850000000000e-02 5.000000000000e-01 5.800609881728e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.160149125752e-01 6.701492371107e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.887285550732e-01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.964999957841e-01 3.850649295898e+00 0.000000000000e+00 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4.976222203269e-02 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.222484974576e-02 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.398136259113e-02 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.575542196478e-02 1.109053650641e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551546391753e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841237113402e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.846804123711e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 1.420618556701e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 6 JET 1.500000000000e-01 1.822500000000e+04 2.760000000000e+03 2.027551020408e-01 6.488163265306e-03 5.474387755102e-03 2.700000000000e+00 8.275718450646e-03 4.081632653061e+00 2.027551020408e-03 1.000000000000e+00 1.013775510204e-03 5.000000000000e-01 1.755910691143e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.145656037665e-02 5.650442460551e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.912646120462e-03 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.507416643181e-03 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.419285714286e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.494496271465e-03 3.203123475609e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.027551020408e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.176329117656e-02 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660838679533e-03 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.362312988998e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.362312988998e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.054813632386e-03 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.082653061224e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.635816326531e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.027551020408e-04 1.000000000000e-01 2.027551020408e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 7 JET 1.500000000000e-01 3.422500000000e+04 2.760000000000e+03 2.577777777778e-02 2.216888888889e-03 6.960000000000e-04 2.700000000000e+00 7.811447811448e-04 3.030303030303e+00 2.577777777778e-04 1.000000000000e+00 1.288888888889e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.148413742280e-03 4.455053310568e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.227831572477e-03 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.991111111111e-04 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.970043022509e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.741921157560e-04 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.941906915672e-04 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830585253511e-03 7.101408311032e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.348927527365e-04 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.733333333333e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.733333333333e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.469785505473e-03 5.701754116059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.546666666667e-04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.866666666667e-04 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.155555555556e-05 2.000000000000e-01 2.577777777778e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 8 JET 1.500000000000e-01 5.522500000000e+04 2.760000000000e+03 4.273737373737e-03 8.120101010101e-04 1.153909090909e-04 2.700000000000e+00 1.295071931436e-04 3.030303030303e+00 4.273737373737e-05 1.000000000000e+00 2.136868686869e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.500318995315e-04 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587200029359e-04 6.053717865907e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.004782832878e-04 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.485143253203e-05 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.261114654378e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.794318398503e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.931406902912e-04 6.859118019104e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.647884634825e-04 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.526029478847e-05 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.014348498633e-04 7.053190767305e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.564242424242e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 4.273737373737e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 9 JET 1.500000000000e-01 8.122500000000e+04 2.760000000000e+03 1.208080808081e-03 4.711515151515e-04 3.261818181818e-05 2.700000000000e+00 3.660850933578e-05 3.030303030303e+00 1.208080808081e-05 1.000000000000e+00 6.040404040404e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.951190311762e-05 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.835342491120e-05 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.301703073169e-05 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.295353535354e-05 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.332091859414e-05 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.248484848485e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.699859546391e-05 7.201388754956e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.677979797980e-05 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.125452789692e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.604622316354e-05 7.950314459190e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.248484848485e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.208080808081e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.208080808081e-06 1.000000000000e-01 1.208080808081e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 10 JET 1.500000000000e-01 1.260250000000e+05 2.760000000000e+03 4.315151515152e-04 1.984969696970e-04 1.165090909091e-05 2.700000000000e+00 1.307621671258e-05 3.030303030303e+00 4.315151515152e-06 1.000000000000e+00 2.157575757576e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.620768841126e-05 3.755995207665e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.035636363636e-05 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.541171638804e-06 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.037432785392e-05 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.493333333333e-06 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551555825602e-05 8.230431337421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.376469553180e-05 5.507267925206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.067702701430e-05 9.426558226628e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.589090909091e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.315151515152e-07 1.000000000000e-01 4.315151515152e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 11 JET 1.500000000000e-01 2.025000000000e+05 2.760000000000e+03 7.110101010101e-05 8.176616161616e-05 1.919727272727e-06 2.700000000000e+00 2.154576063667e-06 3.030303030303e+00 7.110101010101e-07 1.000000000000e+00 3.555050505051e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.821111111111e-07 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.977070707071e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.354935867537e-06 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.496647959744e-06 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635323232323e-06 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.977070707071e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.805206156588e-06 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.302986747707e-06 7.458384543586e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.064461864994e-07 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.192058321098e-06 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.555050505051e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.110101010101e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.133030303030e-07 3.000000000000e-01 7.110101010101e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 12 JET 5.500000000000e-01 6.250000000000e+02 2.760000000000e+03 1.481818181818e+03 2.074545454545e+01 4.000909090909e+01 2.700000000000e+00 1.706880678736e+02 1.151882666631e+01 1.481818181818e+01 1.000000000000e+00 7.409090909091e+00 5.000000000000e-01 1.687630880752e+02 1.138892005416e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.127253676525e+02 7.607233399864e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.603293719192e+02 1.081977356510e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024144354616e+02 6.911403620105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.157574167487e+01 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960261198652e+00 1.322875655532e-01 3.201378931978e+01 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.523366899269e+01 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.891251175846e+01 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.234864224506e+01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481818181818e+00 1.000000000000e-01 2.963636363636e+00 2.000000000000e-01 8.446363636364e+01 5.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.963636363636e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 13 JET 5.500000000000e-01 1.406250000000e+03 2.760000000000e+03 2.073626373626e+02 4.769340659341e+00 5.598791208791e+00 2.700000000000e+00 1.776078907435e+01 8.565086411055e+00 2.073626373626e+00 1.000000000000e+00 1.036813186813e+00 5.000000000000e-01 7.966612375408e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299762899736e+01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.306014272467e+01 6.298214032565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.831465270663e+01 8.832185460009e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.479944885800e+00 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.932550540877e-01 1.414213562373e-01 5.704357330871e+00 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.661474296427e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.876972146348e+00 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.795813117518e-01 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.167521881102e+00 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.147252747253e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.073626373626e-01 1.000000000000e-01 5.391428571429e+00 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.073626373626e-01 1.000000000000e-01 2.073626373626e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 14 JET 5.500000000000e-01 2.756250000000e+03 2.760000000000e+03 3.298924731183e+01 6.927741935484e-01 8.907096774194e-01 2.700000000000e+00 2.319303149286e+00 7.030482167001e+00 3.298924731183e-01 1.000000000000e+00 1.649462365591e-01 5.000000000000e-01 4.789125283920e-01 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.532394811183e+00 7.676424949154e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913945039698e+00 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.622521053795e+00 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608172043011e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364067216315e-02 1.322875655532e-01 9.896774193548e-01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.285295769230e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.502641203567e+00 4.554942370656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.298924731183e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.589883102233e-01 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.570857867131e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.597849462366e-02 2.000000000000e-01 3.298924731183e-02 1.000000000000e-01 1.979354838710e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.597849462366e-02 2.000000000000e-01 3.298924731183e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 15 JET 5.500000000000e-01 4.900000000000e+03 2.760000000000e+03 7.358947368421e+00 6.623052631579e-02 1.986915789474e-01 2.700000000000e+00 4.295509180959e-01 5.837124477058e+00 7.358947368421e-02 1.000000000000e+00 3.679473684211e-02 5.000000000000e-01 5.543686081088e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.562547368421e-01 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.569468780713e-01 4.850515436528e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.871875763387e-01 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839736842105e-01 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207684210526e-01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.478772093160e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.313161233843e-01 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943578947368e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.811536186467e-02 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.402067780556e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.471789473684e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.094842105263e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943578947368e-02 4.000000000000e-01 7.358947368421e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 16 JET 5.500000000000e-01 9.025000000000e+03 2.760000000000e+03 1.398969072165e+00 1.818659793814e-02 3.777216494845e-02 2.700000000000e+00 7.211180784355e-02 5.154639175258e+00 1.398969072165e-02 1.000000000000e+00 6.994845360825e-03 5.000000000000e-01 6.372607405618e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.822383026600e-02 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.018819547454e-02 4.302324952860e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.827456938232e-02 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.259072164948e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.196907216495e-02 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.611852801009e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.210800132131e-02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.611852801009e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.196907216495e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.946441422743e-02 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.797938144330e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.538865979381e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.398969072165e-03 1.000000000000e-01 1.398969072165e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 17 JET 5.500000000000e-01 1.822500000000e+04 2.760000000000e+03 1.897959183673e-01 4.934693877551e-03 5.124489795918e-03 2.700000000000e+00 7.746772178259e-03 4.081632653061e+00 1.897959183673e-03 1.000000000000e+00 9.489795918367e-04 5.000000000000e-01 1.643680868407e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.186907558435e-02 6.253598963797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.697271689494e-03 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.648277671823e-03 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.808048955248e-03 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.124489795918e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.518367346939e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.110387228853e-02 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.606122448980e-03 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.897959183673e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.897959183673e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129365457654e-02 5.950420153233e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.138775510204e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.518367346939e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.693877551020e-04 3.000000000000e-01 1.897959183673e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 18 JET 5.500000000000e-01 3.422500000000e+04 2.760000000000e+03 2.149494949495e-02 1.590626262626e-03 5.803636363636e-04 2.700000000000e+00 6.513621059076e-04 3.030303030303e+00 2.149494949495e-04 1.000000000000e+00 1.074747474747e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086452223165e-03 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.952717426083e-04 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.547758003034e-04 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.095337909452e-04 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.500145552795e-04 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.535046433933e-04 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.387173863589e-03 6.453487429290e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.357383415000e-04 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.149494949495e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.590916708399e-03 7.401351227985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.448484848485e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.448484848485e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.149494949495e-05 1.000000000000e-01 2.149494949495e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 19 JET 5.500000000000e-01 5.522500000000e+04 2.760000000000e+03 3.376767676768e-03 6.078181818182e-04 9.117272727273e-05 2.700000000000e+00 1.023262932354e-04 3.030303030303e+00 3.376767676768e-05 1.000000000000e+00 1.688383838384e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.743128555435e-04 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.354079627944e-04 4.009987531153e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.792573935578e-05 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.129770708092e-05 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.304034035002e-05 2.459166525472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207848358827e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.548732704590e-04 7.547847375245e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.335745322679e-04 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.599735694019e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.105295457711e-04 9.196058938480e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.376767676768e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.363737373737e-05 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.753535353535e-06 2.000000000000e-01 3.376767676768e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 20 JET 5.500000000000e-01 8.122500000000e+04 2.760000000000e+03 9.828282828283e-04 3.145050505051e-04 2.653636363636e-05 2.700000000000e+00 2.579255334809e-05 2.624319405407e+00 9.828282828283e-06 1.000000000000e+00 4.914141414141e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.246682618698e-05 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900176220066e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.676579455786e-05 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900176220066e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.511542604871e-07 8.660254037844e-02 1.732539777230e-05 1.762810256380e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.914141414141e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.893279892573e-05 8.031189202105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.280383606107e-05 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.965656565657e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016977974136e-04 1.034746345729e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.965656565657e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.081111111111e-05 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.828282828283e-07 1.000000000000e-01 9.828282828283e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 21 JET 5.500000000000e-01 1.260250000000e+05 2.760000000000e+03 3.630303030303e-04 1.597333333333e-04 9.801818181818e-06 2.700000000000e+00 9.527074689933e-06 2.624319405407e+00 3.630303030303e-06 1.000000000000e+00 1.815151515152e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.625447658619e-05 4.477443466980e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.215474031106e-05 3.348133808557e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.777664779449e-06 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.409170290042e-05 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.194505932352e-06 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.237869083502e-06 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.354054239034e-05 9.239047569961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.178408700305e-05 6.000624967451e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.431803943034e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.545133594730e-05 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.260606060606e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.541212121212e-06 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.630303030303e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 22 JET 5.500000000000e-01 2.025000000000e+05 2.760000000000e+03 8.889898989899e-05 6.934121212121e-05 2.400272727273e-06 2.700000000000e+00 2.332993443130e-06 2.624319405407e+00 8.889898989899e-07 1.000000000000e+00 4.444949494949e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.003678679055e-06 5.628498911788e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.103581610689e-06 4.616004766029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.936998627982e-06 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.732434439682e-06 4.198511641046e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.904597321200e-06 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.240518166898e-07 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.778888888889e-06 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.647094646317e-06 7.477131803038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.948445937365e-07 3.316624790355e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.379367452863e-05 1.551612064918e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.444949494949e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.333939393939e-07 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.889898989899e-08 1.000000000000e-01 8.889898989899e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 23 JET 1.000000000000e+00 6.250000000000e+02 2.760000000000e+03 1.285393258427e+03 2.056629213483e+01 3.470561797753e+01 2.700000000000e+00 1.362514128907e+02 1.059997880006e+01 1.285393258427e+01 1.000000000000e+00 6.426966292135e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.283254512822e+02 9.983361157446e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.133530916168e+01 7.105631569396e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.204623352981e+02 9.371632728612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.680869794857e+02 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.887875825406e+01 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.631018608089e+01 7.492663077972e+00 0.000000000000e+00 0.000000000000e+00 2.508164252634e+01 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.206636088800e+01 4.050617236916e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.463677409677e+01 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.279012756300e+01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.856179775281e+00 3.000000000000e-01 1.285393258427e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.221123595506e+02 9.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542471910112e+01 1.200000000000e+00 2.570786516854e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 24 JET 1.000000000000e+00 1.406250000000e+03 2.760000000000e+03 1.738043478261e+02 4.692717391304e+00 4.692717391304e+00 2.700000000000e+00 1.472468287555e+01 8.471987645717e+00 1.738043478261e+00 1.000000000000e+00 8.690217391304e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.256956521739e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.927583464538e+01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086346693428e+01 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.914457509554e+00 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.391412311461e+00 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.448088554261e+01 8.331716509820e+00 0.000000000000e+00 0.000000000000e+00 4.620548625186e+00 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.393538460444e+00 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.998777463003e+00 4.602173399602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.740807860717e+00 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.476086956522e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.216630434783e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.211630434783e+00 5.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.738043478261e-01 1.000000000000e-01 1.738043478261e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 25 JET 1.000000000000e+00 2.756250000000e+03 2.760000000000e+03 2.861702127660e+01 6.868085106383e-01 7.726595744681e-01 2.700000000000e+00 1.876671985965e+00 6.557887237201e+00 2.861702127660e-01 1.000000000000e+00 1.430851063830e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.087328185698e-01 1.428285685709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.283810423844e+00 7.980601481092e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737114478922e+00 6.070214164261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.628272667665e-01 1.267872233311e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.311588997471e-01 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.043012821595e+00 7.139152610780e+00 0.000000000000e+00 0.000000000000e+00 8.053543655697e-01 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.760671787592e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.293476699241e+00 4.519955751996e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478306740617e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.083796661100e-01 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478306740617e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430851063830e-01 5.000000000000e-01 2.861702127660e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.116063829787e+00 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430851063830e-01 5.000000000000e-01 2.861702127660e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 26 JET 1.000000000000e+00 4.900000000000e+03 2.760000000000e+03 6.184375000000e+00 6.802812500000e-02 1.669781250000e-01 2.700000000000e+00 3.572293578481e-01 5.776321097088e+00 6.184375000000e-02 1.000000000000e+00 3.092187500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.329062500000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.069840346986e-01 6.580843410992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.331966549452e-01 5.387717513010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960310306757e-01 3.169779172119e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.653380829906e-01 2.673480877059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.885835288161e-01 6.283311228962e+00 0.000000000000e+00 0.000000000000e+00 2.155456535338e-01 3.485326383569e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.831989317551e-02 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.138075218802e-01 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.817116883301e-02 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.355825856529e-03 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.024210000867e-02 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.363370681522e-01 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.092187500000e-02 5.000000000000e-01 6.184375000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.421250000000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.184375000000e-03 1.000000000000e-01 6.184375000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 27 JET 1.000000000000e+00 9.025000000000e+03 2.760000000000e+03 1.182653061224e+00 1.892244897959e-02 3.193163265306e-02 2.700000000000e+00 5.497184776254e-02 4.648180397523e+00 1.182653061224e-02 1.000000000000e+00 5.913265306122e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.387241080729e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.331256692070e-02 6.198991853519e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.757147517048e-02 4.022437072224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.261957818929e-02 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.064387755102e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.842744067531e-02 4.094813793080e+00 0.000000000000e+00 0.000000000000e+00 3.261957818929e-02 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362619579864e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.883327531604e-02 4.974685919734e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362619579864e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024207594884e-03 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.222916096266e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.807961077258e-02 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.913265306122e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.311428571429e-02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.547959183673e-03 3.000000000000e-01 1.182653061224e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 28 JET 1.000000000000e+00 1.822500000000e+04 2.760000000000e+03 1.523232323232e-01 4.722020202020e-03 4.112727272727e-03 2.700000000000e+00 6.154474033262e-03 4.040404040404e+00 1.523232323232e-03 1.000000000000e+00 7.616161616162e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.319157887785e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.656620184961e-03 6.339558344238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.637868267234e-03 4.357751713900e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.921398831935e-03 2.574393132371e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.603016580364e-03 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.651889853169e-03 3.710458192730e+00 0.000000000000e+00 0.000000000000e+00 4.313733698147e-03 2.831960451701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.451073676563e-03 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.179923601360e-03 6.026607669328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.139300149399e-03 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523232323232e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.525995042351e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.398170618715e-03 6.169886546769e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.132525252525e-03 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.569696969697e-03 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523232323232e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 29 JET 1.000000000000e+00 3.422500000000e+04 2.760000000000e+03 1.731313131313e-02 1.575494949495e-03 4.674545454545e-04 2.700000000000e+00 5.246403428222e-04 3.030303030303e+00 1.731313131313e-04 1.000000000000e+00 8.656565656566e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.801052174235e-04 5.661051139144e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.825458746385e-04 4.519955751996e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.178768247092e-04 2.991237202229e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.378279509097e-04 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.565957237353e-04 4.370068649346e+00 0.000000000000e+00 0.000000000000e+00 4.945619525868e-04 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.211919191919e-04 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.246785891515e-03 7.201388754956e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.760357446056e-04 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731313131313e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.419676767677e-03 8.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.462626262626e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.328282828283e-04 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731313131313e-05 1.000000000000e-01 1.731313131313e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 30 JET 1.000000000000e+00 5.522500000000e+04 2.760000000000e+03 2.305050505051e-03 5.071111111111e-04 6.223636363636e-05 2.700000000000e+00 6.985001530456e-05 3.030303030303e+00 2.305050505051e-05 1.000000000000e+00 1.152525252525e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129945068023e-04 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.013307507982e-05 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.570406244797e-05 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.771839100263e-05 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.047911046887e-04 4.546152219185e+00 0.000000000000e+00 0.000000000000e+00 5.081577811847e-05 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278212338769e-05 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.776085914072e-04 7.705193054038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.013307507982e-05 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.822493824036e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.201383573132e-04 9.550261776517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.220202020202e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.915151515152e-06 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.305050505051e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 31 JET 1.000000000000e+00 8.122500000000e+04 2.760000000000e+03 6.577777777778e-04 2.762666666667e-04 1.776000000000e-05 2.700000000000e+00 1.993265993266e-05 3.030303030303e+00 6.577777777778e-06 1.000000000000e+00 3.288888888889e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.329908640722e-05 5.062361109206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.142326783986e-05 3.256915718897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.551111111111e-06 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.273619141369e-05 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.478767711435e-05 5.288667128871e+00 0.000000000000e+00 0.000000000000e+00 1.283509694472e-05 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.877542813639e-06 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.185909532214e-05 9.404254356407e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.521876379796e-05 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.315555555556e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.893333333333e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.946666666667e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.907555555556e-05 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.577777777778e-07 1.000000000000e-01 6.577777777778e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 32 JET 1.000000000000e+00 1.260250000000e+05 2.760000000000e+03 5.297979797980e-05 6.569494949495e-05 1.430454545455e-06 2.700000000000e+00 1.390359119329e-06 2.624319405407e+00 5.297979797980e-07 1.000000000000e+00 2.648989898990e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.413344652657e-07 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.940617425934e-06 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.148623124317e-06 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.454918381901e-07 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.519048723356e-06 4.754734482597e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.597460924943e-06 6.790250363573e+00 0.000000000000e+00 0.000000000000e+00 1.298545548155e-06 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622439205405e-07 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.827777777778e-06 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.979837346303e-06 7.511990415329e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.059595959596e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.297979797980e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.982211420612e-06 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112575757576e-06 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112575757576e-06 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.059595959596e-07 2.000000000000e-01 5.297979797980e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 33 JET 1.650000000000e+00 6.250000000000e+02 2.760000000000e+03 1.063146067416e+03 1.275775280899e+01 2.870494382022e+01 2.700000000000e+00 1.162766576970e+02 1.093703501906e+01 1.063146067416e+01 1.000000000000e+00 5.315730337079e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210808556769e+02 1.138892005416e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.982804120740e+01 7.508661665037e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.150299971606e+02 1.081977356510e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.191897698130e+02 1.121104366239e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.428038468507e+01 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635932744258e+02 1.538765739156e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286999927189e+01 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.581407146444e+01 4.309292285283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.784157303371e+01 4.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.932337251704e+01 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.063146067416e+00 1.000000000000e-01 6.378876404494e+00 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.275775280899e+02 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.378876404494e+00 6.000000000000e-01 2.126292134831e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 34 JET 1.650000000000e+00 1.406250000000e+03 2.760000000000e+03 1.380434782609e+02 2.898913043478e+00 3.727173913043e+00 2.700000000000e+00 1.071551760899e+01 7.762422204938e+00 1.380434782609e+00 1.000000000000e+00 6.902173913043e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.612023442956e+00 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.667985694181e+01 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.330707831487e+00 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.171337754922e+00 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.982346204304e+00 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.305852989122e+01 1.670381692907e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.935449851845e+00 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.625486582231e+00 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.904934230656e+00 5.001999600160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.969565217391e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.289192110734e-01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.380434782609e-01 1.000000000000e-01 1.380434782609e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.592391304348e+00 5.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.521739130435e-01 4.000000000000e-01 1.380434782609e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 35 JET 1.650000000000e+00 2.756250000000e+03 2.760000000000e+03 2.135106382979e+01 4.056702127660e-01 5.764787234043e-01 2.700000000000e+00 1.259546557739e+00 5.899221545962e+00 2.135106382979e-01 1.000000000000e+00 1.067553191489e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.469137250661e-01 1.624807680927e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.712449825614e+00 8.020442631177e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308003183776e+00 6.126173356999e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.623854710684e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.890348977307e-01 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.395985141956e+00 1.122185367932e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.892128695719e-01 3.228002478314e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.365235312620e-01 2.044504830026e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.895475261318e-01 4.634652090503e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540673379917e-02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.755884082422e-01 2.695830113342e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.547169102326e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.270212765957e-02 2.000000000000e-01 2.135106382979e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.629680851064e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.135106382979e-02 1.000000000000e-01 2.135106382979e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 36 JET 1.650000000000e+00 4.900000000000e+03 2.760000000000e+03 4.359375000000e+00 3.923437500000e-02 1.177031250000e-01 2.700000000000e+00 2.068531061671e-01 4.745017489138e+00 4.359375000000e-02 1.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.284030351059e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.855557008511e-01 6.550381668269e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.068491616587e-01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.229175950507e-01 7.407428703673e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286385010510e-01 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.667187500000e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.049833566748e-01 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.051562500000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.305724888170e-02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.307812500000e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.667187500000e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.359375000000e-03 1.000000000000e-01 4.359375000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 37 JET 1.650000000000e+00 9.025000000000e+03 2.760000000000e+03 7.395876288660e-01 9.614639175258e-03 1.996886597938e-02 2.700000000000e+00 3.049845892231e-02 4.123711340206e+00 7.395876288660e-03 1.000000000000e+00 3.697938144330e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.368981984370e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.146780691123e-02 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.439480079000e-02 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.875051546392e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.395876288660e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.719907790898e-02 6.381810088055e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.516772255834e-02 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.998119676020e-03 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.220836382203e-02 5.707013229352e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.035422680412e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.405016749226e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.640856059091e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551561091885e-02 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.218762886598e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.331257731959e-02 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.218762886598e-03 3.000000000000e-01 7.395876288660e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 38 JET 1.650000000000e+00 1.822500000000e+04 2.760000000000e+03 8.371428571429e-02 2.344000000000e-03 2.260285714286e-03 2.700000000000e+00 3.050201938139e-03 3.643585932930e+00 8.371428571429e-04 1.000000000000e+00 4.185714285714e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.249869808824e-05 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.925853950345e-03 7.078665128398e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.896762871609e-03 4.654836194755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.645324446252e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.645324446252e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.692295863369e-03 5.605131577403e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.470280769798e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.454728419829e-04 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.665886509521e-03 6.768123816834e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.841714285714e-03 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.388244376534e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371428571429e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.749379883154e-03 6.867859928682e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.348571428571e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.925428571429e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371428571429e-05 1.000000000000e-01 8.371428571429e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 39 JET 1.650000000000e+00 3.422500000000e+04 2.760000000000e+03 9.238383838384e-03 7.760242424242e-04 2.494363636364e-04 2.700000000000e+00 3.332083685718e-04 3.606782034618e+00 9.238383838384e-05 1.000000000000e+00 4.619191919192e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.914008977875e-04 6.401562309312e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.758216120868e-04 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.238383838384e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.221058112171e-04 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.729292310428e-04 7.284057934970e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.774592903881e-04 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.040377232973e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.808893880668e-04 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.328383410261e-04 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.238383838384e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.057386145607e-04 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016222222222e-04 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.124828282828e-04 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.847676767677e-05 2.000000000000e-01 9.238383838384e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 40 JET 1.650000000000e+00 5.522500000000e+04 2.760000000000e+03 9.152525252525e-04 2.196606060606e-04 2.471181818182e-05 2.700000000000e+00 3.301116365219e-05 3.606782034618e+00 9.152525252525e-06 1.000000000000e+00 4.576262626263e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.720694372124e-05 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.486604847220e-05 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.968856888781e-05 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.020333333333e-05 3.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783145172866e-05 8.503822669835e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.565973747713e-05 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.322020202020e-06 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.881722930247e-05 9.704122835167e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.713994781455e-05 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.517774607344e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098303030303e-04 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098303030303e-05 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.111858585859e-05 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.152525252525e-07 1.000000000000e-01 9.152525252525e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 41 JET 1.650000000000e+00 8.122500000000e+04 2.760000000000e+03 9.035353535354e-05 6.957222222222e-05 2.439545454545e-06 2.700000000000e+00 3.258855080773e-06 3.606782034618e+00 9.035353535354e-07 1.000000000000e+00 4.517676767677e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.783332106543e-06 6.400781202322e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.170723498195e-06 4.616004766029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.533123846517e-06 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.348953219990e-06 4.813262926540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.236191002575e-06 1.022227958921e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.632685584512e-06 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.131818181818e-07 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.181525789393e-05 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173699118594e-06 6.832825184358e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.710606060606e-07 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.413534785787e-05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.324747474747e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.228282828283e-07 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.035353535354e-08 1.000000000000e-01 9.035353535354e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 42 JET 1.650000000000e+00 1.260250000000e+05 2.760000000000e+03 2.403030303030e-05 2.931696969697e-05 6.488181818182e-07 2.700000000000e+00 8.667206525611e-07 3.606782034618e+00 2.403030303030e-07 1.000000000000e+00 1.201515151515e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403030303030e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733183003123e-06 7.212489168103e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.345696969697e-06 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.864427568284e-07 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.501990057530e-06 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.057779342075e-06 1.272468074256e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.995268590530e-07 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.189264796443e-07 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.364242424242e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.187021629079e-06 9.101098834756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.177239615774e-07 4.898979485566e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.448852213693e-06 1.851350858157e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.806060606061e-08 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.170303030303e-07 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403030303030e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 43 JET 2.450000000000e+00 6.250000000000e+02 2.760000000000e+03 7.103409090909e+02 1.349647727273e+01 1.917920454545e+01 2.700000000000e+00 8.152376726459e+01 1.147671015723e+01 7.103409090909e+00 1.000000000000e+00 3.551704545455e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.605612274538e+01 1.211476372035e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.303350234080e+01 7.465922581972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.135419410730e+01 1.145283807621e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.193753143255e+01 7.311634564172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.165602999993e+01 4.456455991031e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.920326212120e+02 2.703386764782e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.491715909091e+01 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.263512088526e+01 4.594289934255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.312619061184e+01 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.954083157760e+01 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278613636364e+02 1.800000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841363636364e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.420681818182e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 44 JET 2.450000000000e+00 1.406250000000e+03 2.760000000000e+03 8.467391304348e+01 1.270108695652e+00 2.286195652174e+00 2.700000000000e+00 6.933375730161e+00 8.188325637674e+00 8.467391304348e-01 1.000000000000e+00 4.233695652174e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.286776933122e+00 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.901780569551e+00 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608967709108e+00 6.624198064672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622965110284e+00 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.710329205866e+00 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.281203849832e+01 2.694104675027e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.347697809373e+00 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.783634769104e+00 3.287476235656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.959580692721e+00 4.676269881006e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.936549413321e+00 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404157995482e-01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.540217391304e-01 3.000000000000e-01 8.467391304348e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.318369565217e+00 5.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.773913043478e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.467391304348e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 45 JET 2.450000000000e+00 2.756250000000e+03 2.760000000000e+03 1.096808510638e+01 2.851702127660e-01 2.961382978723e-01 2.700000000000e+00 7.000905387053e-01 6.382978723404e+00 1.096808510638e-01 1.000000000000e+00 5.484042553191e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.308514861747e-01 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.540815650269e-01 8.698706800439e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.545492534693e-01 6.879498528236e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.636906500821e-01 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.199094225861e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.827791153061e+00 1.666463320928e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622790222644e-01 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.369588726509e-01 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.674592991739e-01 5.173731728646e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.818851148328e-02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.134551309889e-01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.653364413213e-02 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.387234042553e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290425531915e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.096808510638e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.096808510638e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 46 JET 2.450000000000e+00 4.900000000000e+03 2.760000000000e+03 1.898947368421e+00 2.468631578947e-02 5.127157894737e-02 2.700000000000e+00 9.994459833795e-02 5.263157894737e+00 1.898947368421e-02 1.000000000000e+00 9.494736842105e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430526346772e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.512586378697e-01 7.965393901120e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.158669155765e-01 6.101639124039e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.861052693544e-02 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.892859294974e-02 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.089144188683e-01 1.100159079406e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.031235680244e-02 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.617980655305e-02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.120700756638e-01 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.329263157895e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.709052631579e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.034001667332e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.595789473684e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.937263157895e-02 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.797894736842e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.898947368421e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 47 JET 2.450000000000e+00 9.025000000000e+03 2.760000000000e+03 2.259375000000e-01 6.100312500000e-03 6.100312500000e-03 2.700000000000e+00 1.072077388952e-02 4.745017489138e+00 2.259375000000e-03 1.000000000000e+00 1.129687500000e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.067582427870e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.172762361891e-02 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.539155170671e-02 6.812305043082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.711250000000e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.279986910910e-03 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.253124831560e-02 9.972336737195e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.092005279864e-02 4.833218389438e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.957132612226e-03 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.821286097467e-02 8.061017305527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.518750000000e-03 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.259375000000e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.037500000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.570712560047e-02 6.951978135754e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129687500000e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.100312500000e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.807500000000e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.259375000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 48 JET 2.450000000000e+00 1.822500000000e+04 2.760000000000e+03 1.169791666667e-02 1.006020833333e-03 3.158437500000e-04 2.700000000000e+00 5.169797625472e-04 4.419417382416e+00 1.169791666667e-04 1.000000000000e+00 5.848958333333e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.231063317551e-03 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.190212627130e-04 7.001428425686e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.112113844350e-04 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.112113844350e-04 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245320013265e-03 1.064565639122e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.213125081175e-04 4.456455991031e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.581383547109e-04 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-03 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.509375000000e-04 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.013069300469e-05 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-03 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.358333333333e-05 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.637708333333e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 49 JET 2.450000000000e+00 3.422500000000e+04 2.760000000000e+03 5.484375000000e-04 2.138906250000e-04 1.480781250000e-05 2.700000000000e+00 3.281805808813e-05 5.983919423477e+00 5.484375000000e-06 1.000000000000e+00 2.742187500000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.032812500000e-05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.915175082716e-05 8.962142600963e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.209052827727e-05 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086046033869e-05 3.803616699932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.158700994145e-05 1.669962574431e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.637066352088e-05 4.808326112069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.771637014162e-06 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.580023803678e-05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072771614248e-05 7.426136276692e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.094807042303e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.902296874889e-05 1.805547008527e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.871875000000e-06 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.484375000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.935937500000e-06 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.484375000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 50 JET 2.450000000000e+00 5.522500000000e+04 2.760000000000e+03 6.525000000000e-05 7.373250000000e-05 1.761750000000e-06 2.700000000000e+00 3.904507423819e-06 5.983919423477e+00 6.525000000000e-07 1.000000000000e+00 3.262500000000e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.036116595822e-06 1.078332045337e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.626772552223e-06 7.090839160494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.243179467133e-06 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.205063793729e-06 4.911975162804e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542745147051e-05 2.364360378623e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.883228494501e-06 2.886173937932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308258432039e-06 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.376063560260e-05 2.108909670896e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.774809319092e-06 8.850282481367e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.780978911632e-07 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.068280909808e-05 3.169779172119e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.438500000000e-06 1.140000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.045500000000e-06 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.022750000000e-06 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 6.525000000000e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 51 JET 3.200000000000e+00 6.250000000000e+02 2.760000000000e+03 3.643023255814e+02 8.378953488372e+00 9.836162790698e+00 2.700000000000e+00 4.278224577054e+01 1.174361039344e+01 7.286046511628e+00 2.000000000000e+00 1.821511627907e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.732426029169e+01 1.299038105677e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.103205816862e+01 8.518215775619e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.260157065178e+01 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.583659215976e+01 9.837047321224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.719182778858e+01 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 1.419381890534e+02 3.896164780910e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.293280207436e+00 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.791760168442e+01 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.895072544921e+01 5.201922721456e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.165767441860e+01 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.643023255814e-01 1.000000000000e-01 1.457209302326e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.921744186047e+01 1.900000000000e+01 0.000000000000e+00 0.000000000000e+00 3.643023255814e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.286046511628e+00 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 52 JET 3.200000000000e+00 1.406250000000e+03 2.760000000000e+03 3.169662921348e+01 7.290224719101e-01 8.558089887640e-01 2.700000000000e+00 2.775851404707e+00 8.757560262989e+00 6.339325842697e-01 2.000000000000e+00 1.584831460674e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.300334656458e+00 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.460111075886e+00 1.407124727947e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.519981695435e+00 7.950314459190e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.903909688777e+00 6.006662967072e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.607191011236e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.411592932205e+01 4.453448102314e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.078617244183e+00 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.205305743310e+00 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.910231487098e+00 6.026607669328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.745008611321e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.300334656458e+00 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.169662921348e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.584831460674e-01 5.000000000000e-01 1.584831460674e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.838404494382e+00 5.800000000000e+00 0.000000000000e+00 0.000000000000e+00 9.508988764045e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.169662921348e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 53 JET 3.200000000000e+00 2.756250000000e+03 2.760000000000e+03 2.476923076923e+00 5.696923076923e-02 6.687692307692e-02 2.700000000000e+00 1.861066684125e-01 7.513623258889e+00 2.476923076923e-02 1.000000000000e+00 1.238461538462e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.665237108455e-02 1.883480820184e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.101103735559e-01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.452404027642e-01 9.901010049485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.437202466250e-01 5.802370205356e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.075507550741e-02 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 8.911580611102e-01 3.597843103861e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218233263387e-01 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.991551410400e-02 2.822676035254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.912370696406e-01 7.720751258783e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.953846153846e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.087303842409e-02 3.668787265569e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.256584317296e-02 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 5.449230769231e-02 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.907692307692e-02 4.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733846153846e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.476923076923e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 54 JET 3.200000000000e+00 4.900000000000e+03 2.760000000000e+03 1.949450549451e-01 7.602857142857e-03 5.263516483516e-03 2.700000000000e+00 1.421010114259e-02 7.289285253528e+00 1.949450549451e-03 1.000000000000e+00 9.747252747253e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.024790992489e-03 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.440708973772e-02 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823231377781e-02 9.352539762011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.423365924068e-02 7.301369734509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.119525895818e-03 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 5.052650905304e-02 2.591833327975e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.200891602663e-02 6.160154218849e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.943308443721e-03 2.535744466621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839934349858e-02 9.438220171198e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.986861078383e-03 1.532155344604e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.949450549451e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.607558105461e-03 8.246211251235e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.891900894610e-03 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 8.577582417582e-03 4.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.618043956044e-02 8.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.754505494505e-03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.949450549451e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 55 JET 3.200000000000e+00 9.025000000000e+03 2.760000000000e+03 4.981318681319e-03 7.471978021978e-04 1.344956043956e-04 2.700000000000e+00 3.631025280686e-04 7.289285253528e+00 4.981318681319e-05 1.000000000000e+00 2.490659340659e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.248746556107e-05 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.951572554462e-04 1.395528573695e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.949022211970e-04 9.935164819972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.989282425302e-04 1.001598722044e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.266078359737e-04 2.541653005428e+00 0.000000000000e+00 0.000000000000e+00 1.076100313891e-03 2.160271973618e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.138018936706e-04 8.307075297600e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.518281092641e-04 3.047950130826e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.227793949560e-04 1.250229978844e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.866997975946e-04 3.747999466382e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.313948522368e-06 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.030885262153e-05 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.894607212320e-04 1.183342722967e+01 0.000000000000e+00 0.000000000000e+00 1.245329670330e-04 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.295142857143e-04 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 8.966373626374e-05 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.981318681319e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 56 JET 3.200000000000e+00 1.822500000000e+04 2.760000000000e+03 1.656043956044e-04 1.142670329670e-04 4.471318681319e-06 2.700000000000e+00 1.189867294031e-05 7.184998258584e+00 1.656043956044e-06 1.000000000000e+00 8.280219780220e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.746238219267e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.933261280850e-05 2.375094734953e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.002643178651e-05 1.209293492085e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.124130575688e-05 1.282653499586e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.492111973781e-06 4.524102120863e+00 0.000000000000e+00 0.000000000000e+00 6.004455483417e-05 3.625782674127e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.439450549451e-06 5.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.908801978496e-06 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.720727680545e+00 4.080134801695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.137362637363e-01 1.000000000000e-01 7.480769230769e+00 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.137362637363e-01 1.000000000000e-01 2.137362637363e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.27316e+00 2.93500e+00 + 3 JET 1.500000000000e-01 2.756250000000e+03 2.760000000000e+03 3.566666666667e+01 9.273333333333e-01 9.630000000000e-01 2.700000000000e+00 2.301075268817e+00 6.451612903226e+00 3.566666666667e-01 1.000000000000e+00 1.783333333333e-01 5.000000000000e-01 4.874081964842e-01 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.591852763951e+00 7.266876908274e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.370268586811e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.822406124697e+00 5.109549882328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.459721244317e-01 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.045343696802e+00 2.930870177951e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.771323889789e-01 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.449993668569e+00 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.266471820493e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.088823940164e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.683149263864e+00 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.133333333333e-02 2.000000000000e-01 3.566666666667e-02 1.000000000000e-01 4.993333333333e-01 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.566666666667e-02 1.000000000000e-01 3.566666666667e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.01472e+00 2.84500e+00 + 4 JET 1.500000000000e-01 4.900000000000e+03 2.760000000000e+03 7.700000000000e+00 8.470000000000e-02 2.079000000000e-01 2.700000000000e+00 4.494585847334e-01 5.837124477058e+00 7.700000000000e-02 1.000000000000e+00 3.850000000000e-02 5.000000000000e-01 5.800609881728e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.160149125752e-01 6.701492371107e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.887285550732e-01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.964999957841e-01 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.335235170054e-02 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.387000000000e-01 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.194741289987e-01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.503923051381e-01 4.550549417378e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.266833329082e-02 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.471837697819e-01 4.508880127038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.540000000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.080000000000e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.700000000000e-03 1.000000000000e-01 7.700000000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.18719e-01 2.84050e+00 + 5 JET 1.500000000000e-01 9.025000000000e+03 2.760000000000e+03 1.420618556701e+00 2.415051546392e-02 3.835670103093e-02 2.700000000000e+00 7.322776065469e-02 5.154639175258e+00 1.420618556701e-02 1.000000000000e+00 7.103092783505e-03 5.000000000000e-01 6.471225501062e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.117400256722e-01 7.865589615534e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.187034385229e-02 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.477677467784e-02 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.197969828088e-02 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.976222203269e-02 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.222484974576e-02 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.398136259113e-02 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.575542196478e-02 1.109053650641e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551546391753e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841237113402e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.846804123711e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.420618556701e-03 1.000000000000e-01 1.420618556701e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.40889e-02 3.10350e+00 + 6 JET 1.500000000000e-01 1.822500000000e+04 2.760000000000e+03 2.027551020408e-01 6.488163265306e-03 5.474387755102e-03 2.700000000000e+00 8.275718450646e-03 4.081632653061e+00 2.027551020408e-03 1.000000000000e+00 1.013775510204e-03 5.000000000000e-01 1.755910691143e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.145656037665e-02 5.650442460551e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.912646120462e-03 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.507416643181e-03 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.419285714286e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.494496271465e-03 3.203123475609e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.027551020408e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.176329117656e-02 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660838679533e-03 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.362312988998e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.362312988998e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.054813632386e-03 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.082653061224e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.635816326531e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.027551020408e-04 1.000000000000e-01 2.027551020408e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.17753e-03 3.54000e+00 + 7 JET 1.500000000000e-01 3.422500000000e+04 2.760000000000e+03 2.577777777778e-02 2.216888888889e-03 6.960000000000e-04 2.700000000000e+00 7.811447811448e-04 3.030303030303e+00 2.577777777778e-04 1.000000000000e+00 1.288888888889e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.148413742280e-03 4.455053310568e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.227831572477e-03 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.991111111111e-04 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.970043022509e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.741921157560e-04 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.941906915672e-04 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830585253511e-03 7.101408311032e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.348927527365e-04 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.733333333333e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.733333333333e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.469785505473e-03 5.701754116059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.546666666667e-04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.866666666667e-04 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.155555555556e-05 2.000000000000e-01 2.577777777778e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.04245e-03 4.04400e+00 + 8 JET 1.500000000000e-01 5.522500000000e+04 2.760000000000e+03 4.273737373737e-03 8.120101010101e-04 1.153909090909e-04 2.700000000000e+00 1.295071931436e-04 3.030303030303e+00 4.273737373737e-05 1.000000000000e+00 2.136868686869e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.500318995315e-04 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587200029359e-04 6.053717865907e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.004782832878e-04 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.485143253203e-05 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.261114654378e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.794318398503e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.931406902912e-04 6.859118019104e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.647884634825e-04 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.526029478847e-05 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.014348498633e-04 7.053190767305e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.564242424242e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.273737373737e-06 1.000000000000e-01 4.273737373737e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.97233e-04 4.61500e+00 + 9 JET 1.500000000000e-01 8.122500000000e+04 2.760000000000e+03 1.208080808081e-03 4.711515151515e-04 3.261818181818e-05 2.700000000000e+00 3.660850933578e-05 3.030303030303e+00 1.208080808081e-05 1.000000000000e+00 6.040404040404e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.951190311762e-05 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.835342491120e-05 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.301703073169e-05 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.295353535354e-05 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.332091859414e-05 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.248484848485e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.699859546391e-05 7.201388754956e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.677979797980e-05 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.125452789692e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.604622316354e-05 7.950314459190e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.248484848485e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.208080808081e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.208080808081e-06 1.000000000000e-01 1.208080808081e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.34846e-05 5.25500e+00 + 10 JET 1.500000000000e-01 1.260250000000e+05 2.760000000000e+03 4.315151515152e-04 1.984969696970e-04 1.165090909091e-05 2.700000000000e+00 1.307621671258e-05 3.030303030303e+00 4.315151515152e-06 1.000000000000e+00 2.157575757576e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.620768841126e-05 3.755995207665e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.035636363636e-05 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.541171638804e-06 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.037432785392e-05 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.493333333333e-06 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551555825602e-05 8.230431337421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.376469553180e-05 5.507267925206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.067702701430e-05 9.426558226628e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.726060606061e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.589090909091e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.315151515152e-07 1.000000000000e-01 4.315151515152e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.56320e-05 5.94000e+00 + 11 JET 1.500000000000e-01 2.025000000000e+05 2.760000000000e+03 7.110101010101e-05 8.176616161616e-05 1.919727272727e-06 2.700000000000e+00 2.154576063667e-06 3.030303030303e+00 7.110101010101e-07 1.000000000000e+00 3.555050505051e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.821111111111e-07 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.977070707071e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.354935867537e-06 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.496647959744e-06 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635323232323e-06 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.977070707071e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.805206156588e-06 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.302986747707e-06 7.458384543586e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.064461864994e-07 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.192058321098e-06 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.555050505051e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.110101010101e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.133030303030e-07 3.000000000000e-01 7.110101010101e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.99129e-06 7.02000e+00 + 12 JET 5.500000000000e-01 6.250000000000e+02 2.760000000000e+03 1.481818181818e+03 2.074545454545e+01 4.000909090909e+01 2.700000000000e+00 1.706880678736e+02 1.151882666631e+01 1.481818181818e+01 1.000000000000e+00 7.409090909091e+00 5.000000000000e-01 1.687630880752e+02 1.138892005416e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.127253676525e+02 7.607233399864e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.603293719192e+02 1.081977356510e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024144354616e+02 6.911403620105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.157574167487e+01 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960261198652e+00 1.322875655532e-01 3.201378931978e+01 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.523366899269e+01 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.891251175846e+01 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.234864224506e+01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481818181818e+00 1.000000000000e-01 2.963636363636e+00 2.000000000000e-01 8.446363636364e+01 5.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.963636363636e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.04605e+01 4.75500e+00 + 13 JET 5.500000000000e-01 1.406250000000e+03 2.760000000000e+03 2.073626373626e+02 4.769340659341e+00 5.598791208791e+00 2.700000000000e+00 1.776078907435e+01 8.565086411055e+00 2.073626373626e+00 1.000000000000e+00 1.036813186813e+00 5.000000000000e-01 7.966612375408e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299762899736e+01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.306014272467e+01 6.298214032565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.831465270663e+01 8.832185460009e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.479944885800e+00 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.932550540877e-01 1.414213562373e-01 5.704357330871e+00 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.661474296427e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.876972146348e+00 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.795813117518e-01 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.167521881102e+00 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.147252747253e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.073626373626e-01 1.000000000000e-01 5.391428571429e+00 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.073626373626e-01 1.000000000000e-01 2.073626373626e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.89481e+00 3.32500e+00 + 14 JET 5.500000000000e-01 2.756250000000e+03 2.760000000000e+03 3.298924731183e+01 6.927741935484e-01 8.907096774194e-01 2.700000000000e+00 2.319303149286e+00 7.030482167001e+00 3.298924731183e-01 1.000000000000e+00 1.649462365591e-01 5.000000000000e-01 4.789125283920e-01 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.532394811183e+00 7.676424949154e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913945039698e+00 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.622521053795e+00 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608172043011e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364067216315e-02 1.322875655532e-01 9.896774193548e-01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.285295769230e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.502641203567e+00 4.554942370656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.298924731183e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.589883102233e-01 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.570857867131e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.597849462366e-02 2.000000000000e-01 3.298924731183e-02 1.000000000000e-01 1.979354838710e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.597849462366e-02 2.000000000000e-01 3.298924731183e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.04197e+00 3.15850e+00 + 15 JET 5.500000000000e-01 4.900000000000e+03 2.760000000000e+03 7.358947368421e+00 6.623052631579e-02 1.986915789474e-01 2.700000000000e+00 4.295509180959e-01 5.837124477058e+00 7.358947368421e-02 1.000000000000e+00 3.679473684211e-02 5.000000000000e-01 5.543686081088e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.562547368421e-01 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.569468780713e-01 4.850515436528e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.871875763387e-01 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839736842105e-01 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207684210526e-01 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.478772093160e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.313161233843e-01 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943578947368e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.811536186467e-02 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.402067780556e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.471789473684e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.094842105263e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943578947368e-02 4.000000000000e-01 7.358947368421e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.23381e-01 3.03550e+00 + 16 JET 5.500000000000e-01 9.025000000000e+03 2.760000000000e+03 1.398969072165e+00 1.818659793814e-02 3.777216494845e-02 2.700000000000e+00 7.211180784355e-02 5.154639175258e+00 1.398969072165e-02 1.000000000000e+00 6.994845360825e-03 5.000000000000e-01 6.372607405618e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.822383026600e-02 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.018819547454e-02 4.302324952860e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.827456938232e-02 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.259072164948e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.196907216495e-02 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.611852801009e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.210800132131e-02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.611852801009e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.196907216495e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.946441422743e-02 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.797938144330e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.538865979381e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.398969072165e-03 1.000000000000e-01 1.398969072165e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.09758e-02 2.92900e+00 + 17 JET 5.500000000000e-01 1.822500000000e+04 2.760000000000e+03 1.897959183673e-01 4.934693877551e-03 5.124489795918e-03 2.700000000000e+00 7.746772178259e-03 4.081632653061e+00 1.897959183673e-03 1.000000000000e+00 9.489795918367e-04 5.000000000000e-01 1.643680868407e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.186907558435e-02 6.253598963797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.697271689494e-03 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.648277671823e-03 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.808048955248e-03 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.124489795918e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.518367346939e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.110387228853e-02 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.606122448980e-03 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.897959183673e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.897959183673e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129365457654e-02 5.950420153233e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.138775510204e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.518367346939e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.693877551020e-04 3.000000000000e-01 1.897959183673e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.46540e-03 3.40650e+00 + 18 JET 5.500000000000e-01 3.422500000000e+04 2.760000000000e+03 2.149494949495e-02 1.590626262626e-03 5.803636363636e-04 2.700000000000e+00 6.513621059076e-04 3.030303030303e+00 2.149494949495e-04 1.000000000000e+00 1.074747474747e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086452223165e-03 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.952717426083e-04 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.547758003034e-04 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.095337909452e-04 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.500145552795e-04 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.535046433933e-04 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.387173863589e-03 6.453487429290e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.357383415000e-04 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.149494949495e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.590916708399e-03 7.401351227985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.448484848485e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.448484848485e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.149494949495e-05 1.000000000000e-01 2.149494949495e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.60980e-04 4.00550e+00 + 19 JET 5.500000000000e-01 5.522500000000e+04 2.760000000000e+03 3.376767676768e-03 6.078181818182e-04 9.117272727273e-05 2.700000000000e+00 1.023262932354e-04 3.030303030303e+00 3.376767676768e-05 1.000000000000e+00 1.688383838384e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.743128555435e-04 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.354079627944e-04 4.009987531153e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.792573935578e-05 2.603843313258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.129770708092e-05 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.304034035002e-05 2.459166525472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207848358827e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.548732704590e-04 7.547847375245e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.335745322679e-04 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.599735694019e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.105295457711e-04 9.196058938480e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.376767676768e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.363737373737e-05 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.753535353535e-06 2.000000000000e-01 3.376767676768e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.54487e-04 4.57500e+00 + 20 JET 5.500000000000e-01 8.122500000000e+04 2.760000000000e+03 9.828282828283e-04 3.145050505051e-04 2.653636363636e-05 2.700000000000e+00 2.579255334809e-05 2.624319405407e+00 9.828282828283e-06 1.000000000000e+00 4.914141414141e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.246682618698e-05 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900176220066e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.676579455786e-05 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.900176220066e-05 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.511542604871e-07 8.660254037844e-02 1.732539777230e-05 1.762810256380e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.914141414141e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.893279892573e-05 8.031189202105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.280383606107e-05 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.965656565657e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016977974136e-04 1.034746345729e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.965656565657e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.081111111111e-05 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.828282828283e-07 1.000000000000e-01 9.828282828283e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.15002e-05 5.24000e+00 + 21 JET 5.500000000000e-01 1.260250000000e+05 2.760000000000e+03 3.630303030303e-04 1.597333333333e-04 9.801818181818e-06 2.700000000000e+00 9.527074689933e-06 2.624319405407e+00 3.630303030303e-06 1.000000000000e+00 1.815151515152e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.625447658619e-05 4.477443466980e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.215474031106e-05 3.348133808557e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.777664779449e-06 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.409170290042e-05 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.194505932352e-06 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.237869083502e-06 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.354054239034e-05 9.239047569961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.178408700305e-05 6.000624967451e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.431803943034e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.545133594730e-05 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.260606060606e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.541212121212e-06 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.630303030303e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.13099e-05 5.87000e+00 + 22 JET 5.500000000000e-01 2.025000000000e+05 2.760000000000e+03 8.889898989899e-05 6.934121212121e-05 2.400272727273e-06 2.700000000000e+00 2.332993443130e-06 2.624319405407e+00 8.889898989899e-07 1.000000000000e+00 4.444949494949e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.003678679055e-06 5.628498911788e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.103581610689e-06 4.616004766029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.936998627982e-06 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.732434439682e-06 4.198511641046e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.904597321200e-06 2.142428528563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.240518166898e-07 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.778888888889e-06 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.647094646317e-06 7.477131803038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.948445937365e-07 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1.000000000000e-01 8.889898989899e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.03624e-06 6.79000e+00 + 23 JET 1.000000000000e+00 6.250000000000e+02 2.760000000000e+03 1.285393258427e+03 2.056629213483e+01 3.470561797753e+01 2.700000000000e+00 1.362514128907e+02 1.059997880006e+01 1.285393258427e+01 1.000000000000e+00 6.426966292135e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.283254512822e+02 9.983361157446e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.133530916168e+01 7.105631569396e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.204623352981e+02 9.371632728612e+00 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1.000000000000e+00 8.690217391304e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.256956521739e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.927583464538e+01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086346693428e+01 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.914457509554e+00 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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5.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.738043478261e-01 1.000000000000e-01 1.738043478261e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.43139e+00 3.12500e+00 + 25 JET 1.000000000000e+00 2.756250000000e+03 2.760000000000e+03 2.861702127660e+01 6.868085106383e-01 7.726595744681e-01 2.700000000000e+00 1.876671985965e+00 6.557887237201e+00 2.861702127660e-01 1.000000000000e+00 1.430851063830e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.087328185698e-01 1.428285685709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.283810423844e+00 7.980601481092e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.760671787592e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.293476699241e+00 4.519955751996e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478306740617e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.083796661100e-01 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478306740617e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430851063830e-01 5.000000000000e-01 2.861702127660e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.116063829787e+00 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430851063830e-01 5.000000000000e-01 2.861702127660e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.67096e-01 3.03000e+00 + 26 JET 1.000000000000e+00 4.900000000000e+03 2.760000000000e+03 6.184375000000e+00 6.802812500000e-02 1.669781250000e-01 2.700000000000e+00 3.572293578481e-01 5.776321097088e+00 6.184375000000e-02 1.000000000000e+00 3.092187500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.329062500000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.069840346986e-01 6.580843410992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.331966549452e-01 5.387717513010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960310306757e-01 3.169779172119e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.653380829906e-01 2.673480877059e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.885835288161e-01 6.283311228962e+00 0.000000000000e+00 0.000000000000e+00 2.155456535338e-01 3.485326383569e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.831989317551e-02 1.589811309558e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.138075218802e-01 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.817116883301e-02 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.355825856529e-03 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.024210000867e-02 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.363370681522e-01 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.092187500000e-02 5.000000000000e-01 6.184375000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.421250000000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.184375000000e-03 1.000000000000e-01 6.184375000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.77306e-01 2.86700e+00 + 27 JET 1.000000000000e+00 9.025000000000e+03 2.760000000000e+03 1.182653061224e+00 1.892244897959e-02 3.193163265306e-02 2.700000000000e+00 5.497184776254e-02 4.648180397523e+00 1.182653061224e-02 1.000000000000e+00 5.913265306122e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.387241080729e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.331256692070e-02 6.198991853519e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.757147517048e-02 4.022437072224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.261957818929e-02 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.064387755102e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.842744067531e-02 4.094813793080e+00 0.000000000000e+00 0.000000000000e+00 3.261957818929e-02 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362619579864e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.883327531604e-02 4.974685919734e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.362619579864e-02 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024207594884e-03 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.222916096266e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.807961077258e-02 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.913265306122e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.311428571429e-02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.547959183673e-03 3.000000000000e-01 1.182653061224e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.70939e-02 3.13650e+00 + 28 JET 1.000000000000e+00 1.822500000000e+04 2.760000000000e+03 1.523232323232e-01 4.722020202020e-03 4.112727272727e-03 2.700000000000e+00 6.154474033262e-03 4.040404040404e+00 1.523232323232e-03 1.000000000000e+00 7.616161616162e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.319157887785e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.656620184961e-03 6.339558344238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.637868267234e-03 4.357751713900e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.921398831935e-03 2.574393132371e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.603016580364e-03 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.651889853169e-03 3.710458192730e+00 0.000000000000e+00 0.000000000000e+00 4.313733698147e-03 2.831960451701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.451073676563e-03 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.179923601360e-03 6.026607669328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.139300149399e-03 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523232323232e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.525995042351e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.398170618715e-03 6.169886546769e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.132525252525e-03 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.569696969697e-03 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.523232323232e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.61692e-03 3.68750e+00 + 29 JET 1.000000000000e+00 3.422500000000e+04 2.760000000000e+03 1.731313131313e-02 1.575494949495e-03 4.674545454545e-04 2.700000000000e+00 5.246403428222e-04 3.030303030303e+00 1.731313131313e-04 1.000000000000e+00 8.656565656566e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.801052174235e-04 5.661051139144e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.825458746385e-04 4.519955751996e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.178768247092e-04 2.991237202229e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.378279509097e-04 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.565957237353e-04 4.370068649346e+00 0.000000000000e+00 0.000000000000e+00 4.945619525868e-04 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.211919191919e-04 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.246785891515e-03 7.201388754956e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.760357446056e-04 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731313131313e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.419676767677e-03 8.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.462626262626e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.328282828283e-04 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731313131313e-05 1.000000000000e-01 1.731313131313e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.50524e-04 4.33500e+00 + 30 JET 1.000000000000e+00 5.522500000000e+04 2.760000000000e+03 2.305050505051e-03 5.071111111111e-04 6.223636363636e-05 2.700000000000e+00 6.985001530456e-05 3.030303030303e+00 2.305050505051e-05 1.000000000000e+00 1.152525252525e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129945068023e-04 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.013307507982e-05 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.570406244797e-05 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.771839100263e-05 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.047911046887e-04 4.546152219185e+00 0.000000000000e+00 0.000000000000e+00 5.081577811847e-05 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278212338769e-05 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.776085914072e-04 7.705193054038e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.013307507982e-05 3.910242959203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.822493824036e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.201383573132e-04 9.550261776517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.220202020202e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.915151515152e-06 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.305050505051e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.09951e-04 4.77000e+00 + 31 JET 1.000000000000e+00 8.122500000000e+04 2.760000000000e+03 6.577777777778e-04 2.762666666667e-04 1.776000000000e-05 2.700000000000e+00 1.993265993266e-05 3.030303030303e+00 6.577777777778e-06 1.000000000000e+00 3.288888888889e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.329908640722e-05 5.062361109206e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.142326783986e-05 3.256915718897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.551111111111e-06 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.273619141369e-05 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.478767711435e-05 5.288667128871e+00 0.000000000000e+00 0.000000000000e+00 1.283509694472e-05 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.877542813639e-06 5.894913061276e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.185909532214e-05 9.404254356407e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.521876379796e-05 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.315555555556e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.893333333333e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.946666666667e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.907555555556e-05 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.577777777778e-07 1.000000000000e-01 6.577777777778e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.45004e-05 5.24500e+00 + 32 JET 1.000000000000e+00 1.260250000000e+05 2.760000000000e+03 5.297979797980e-05 6.569494949495e-05 1.430454545455e-06 2.700000000000e+00 1.390359119329e-06 2.624319405407e+00 5.297979797980e-07 1.000000000000e+00 2.648989898990e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.413344652657e-07 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.940617425934e-06 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.148623124317e-06 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.454918381901e-07 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.519048723356e-06 4.754734482597e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.597460924943e-06 6.790250363573e+00 0.000000000000e+00 0.000000000000e+00 1.298545548155e-06 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622439205405e-07 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.827777777778e-06 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.979837346303e-06 7.511990415329e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.059595959596e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.297979797980e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.982211420612e-06 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112575757576e-06 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.112575757576e-06 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.059595959596e-07 2.000000000000e-01 5.297979797980e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.01455e-06 5.69000e+00 + 33 JET 1.650000000000e+00 6.250000000000e+02 2.760000000000e+03 1.063146067416e+03 1.275775280899e+01 2.870494382022e+01 2.700000000000e+00 1.162766576970e+02 1.093703501906e+01 1.063146067416e+01 1.000000000000e+00 5.315730337079e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210808556769e+02 1.138892005416e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.982804120740e+01 7.508661665037e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.150299971606e+02 1.081977356510e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.191897698130e+02 1.121104366239e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.428038468507e+01 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.635932744258e+02 1.538765739156e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286999927189e+01 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.581407146444e+01 4.309292285283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.784157303371e+01 4.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.932337251704e+01 2.758169682960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.063146067416e+00 1.000000000000e-01 6.378876404494e+00 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.275775280899e+02 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.378876404494e+00 6.000000000000e-01 2.126292134831e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.16157e+01 4.85500e+00 + 34 JET 1.650000000000e+00 1.406250000000e+03 2.760000000000e+03 1.380434782609e+02 2.898913043478e+00 3.727173913043e+00 2.700000000000e+00 1.071551760899e+01 7.762422204938e+00 1.380434782609e+00 1.000000000000e+00 6.902173913043e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.612023442956e+00 4.065402809071e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.667985694181e+01 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.330707831487e+00 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.171337754922e+00 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.982346204304e+00 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.305852989122e+01 1.670381692907e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.935449851845e+00 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.625486582231e+00 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.904934230656e+00 5.001999600160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.969565217391e+00 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.289192110734e-01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.380434782609e-01 1.000000000000e-01 1.380434782609e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.592391304348e+00 5.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.521739130435e-01 4.000000000000e-01 1.380434782609e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.04549e+00 3.65500e+00 + 35 JET 1.650000000000e+00 2.756250000000e+03 2.760000000000e+03 2.135106382979e+01 4.056702127660e-01 5.764787234043e-01 2.700000000000e+00 1.259546557739e+00 5.899221545962e+00 2.135106382979e-01 1.000000000000e+00 1.067553191489e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.469137250661e-01 1.624807680927e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.712449825614e+00 8.020442631177e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308003183776e+00 6.126173356999e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.623854710684e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.890348977307e-01 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.395985141956e+00 1.122185367932e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.892128695719e-01 3.228002478314e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.365235312620e-01 2.044504830026e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.895475261318e-01 4.634652090503e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540673379917e-02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.755884082422e-01 2.695830113342e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.547169102326e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.270212765957e-02 2.000000000000e-01 2.135106382979e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.629680851064e-01 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.135106382979e-02 1.000000000000e-01 2.135106382979e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.49209e-01 3.50900e+00 + 36 JET 1.650000000000e+00 4.900000000000e+03 2.760000000000e+03 4.359375000000e+00 3.923437500000e-02 1.177031250000e-01 2.700000000000e+00 2.068531061671e-01 4.745017489138e+00 4.359375000000e-02 1.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.284030351059e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.855557008511e-01 6.550381668269e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.068491616587e-01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.229175950507e-01 7.407428703673e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286385010510e-01 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.667187500000e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.049833566748e-01 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179687500000e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.051562500000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.305724888170e-02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.307812500000e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.667187500000e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.359375000000e-03 1.000000000000e-01 4.359375000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.35664e-01 3.11200e+00 + 37 JET 1.650000000000e+00 9.025000000000e+03 2.760000000000e+03 7.395876288660e-01 9.614639175258e-03 1.996886597938e-02 2.700000000000e+00 3.049845892231e-02 4.123711340206e+00 7.395876288660e-03 1.000000000000e+00 3.697938144330e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.368981984370e-03 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.146780691123e-02 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.439480079000e-02 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.875051546392e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.395876288660e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.719907790898e-02 6.381810088055e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.516772255834e-02 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.998119676020e-03 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.220836382203e-02 5.707013229352e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.035422680412e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.405016749226e-04 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.640856059091e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.551561091885e-02 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.218762886598e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.331257731959e-02 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.218762886598e-03 3.000000000000e-01 7.395876288660e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.44582e-02 3.30700e+00 + 38 JET 1.650000000000e+00 1.822500000000e+04 2.760000000000e+03 8.371428571429e-02 2.344000000000e-03 2.260285714286e-03 2.700000000000e+00 3.050201938139e-03 3.643585932930e+00 8.371428571429e-04 1.000000000000e+00 4.185714285714e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.249869808824e-05 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.925853950345e-03 7.078665128398e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.896762871609e-03 4.654836194755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.645324446252e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.645324446252e-04 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.692295863369e-03 5.605131577403e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.470280769798e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.454728419829e-04 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.665886509521e-03 6.768123816834e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.841714285714e-03 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.388244376534e-04 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371428571429e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.749379883154e-03 6.867859928682e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.348571428571e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.925428571429e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.371428571429e-05 1.000000000000e-01 8.371428571429e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.15352e-03 3.76700e+00 + 39 JET 1.650000000000e+00 3.422500000000e+04 2.760000000000e+03 9.238383838384e-03 7.760242424242e-04 2.494363636364e-04 2.700000000000e+00 3.332083685718e-04 3.606782034618e+00 9.238383838384e-05 1.000000000000e+00 4.619191919192e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.914008977875e-04 6.401562309312e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.758216120868e-04 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.238383838384e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.221058112171e-04 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.729292310428e-04 7.284057934970e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.774592903881e-04 3.003331483536e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.040377232973e-05 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.808893880668e-04 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.328383410261e-04 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.238383838384e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.057386145607e-04 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.016222222222e-04 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.124828282828e-04 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.847676767677e-05 2.000000000000e-01 9.238383838384e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.91061e-04 4.23300e+00 + 40 JET 1.650000000000e+00 5.522500000000e+04 2.760000000000e+03 9.152525252525e-04 2.196606060606e-04 2.471181818182e-05 2.700000000000e+00 3.301116365219e-05 3.606782034618e+00 9.152525252525e-06 1.000000000000e+00 4.576262626263e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.720694372124e-05 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.486604847220e-05 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.968856888781e-05 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.020333333333e-05 3.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783145172866e-05 8.503822669835e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.565973747713e-05 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.322020202020e-06 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.881722930247e-05 9.704122835167e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.713994781455e-05 5.150485414017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.517774607344e-06 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098303030303e-04 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.098303030303e-05 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.111858585859e-05 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.152525252525e-07 1.000000000000e-01 9.152525252525e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.12092e-05 4.50250e+00 + 41 JET 1.650000000000e+00 8.122500000000e+04 2.760000000000e+03 9.035353535354e-05 6.957222222222e-05 2.439545454545e-06 2.700000000000e+00 3.258855080773e-06 3.606782034618e+00 9.035353535354e-07 1.000000000000e+00 4.517676767677e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.783332106543e-06 6.400781202322e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.170723498195e-06 4.616004766029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.533123846517e-06 2.803569153775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.348953219990e-06 4.813262926540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.236191002575e-06 1.022227958921e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.632685584512e-06 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.131818181818e-07 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.181525789393e-05 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173699118594e-06 6.832825184358e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.710606060606e-07 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.413534785787e-05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.324747474747e-07 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.228282828283e-07 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.035353535354e-08 1.000000000000e-01 9.035353535354e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.25836e-06 4.71300e+00 + 42 JET 1.650000000000e+00 1.260250000000e+05 2.760000000000e+03 2.403030303030e-05 2.931696969697e-05 6.488181818182e-07 2.700000000000e+00 8.667206525611e-07 3.606782034618e+00 2.403030303030e-07 1.000000000000e+00 1.201515151515e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403030303030e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733183003123e-06 7.212489168103e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.345696969697e-06 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.864427568284e-07 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.501990057530e-06 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.057779342075e-06 1.272468074256e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.995268590530e-07 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.189264796443e-07 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.364242424242e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.187021629079e-06 9.101098834756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.177239615774e-07 4.898979485566e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.448852213693e-06 1.851350858157e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.806060606061e-08 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.170303030303e-07 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403030303030e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.10239e-06 4.58750e+00 + 43 JET 2.450000000000e+00 6.250000000000e+02 2.760000000000e+03 7.103409090909e+02 1.349647727273e+01 1.917920454545e+01 2.700000000000e+00 8.152376726459e+01 1.147671015723e+01 7.103409090909e+00 1.000000000000e+00 3.551704545455e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.605612274538e+01 1.211476372035e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.303350234080e+01 7.465922581972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.135419410730e+01 1.145283807621e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.193753143255e+01 7.311634564172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.165602999993e+01 4.456455991031e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.920326212120e+02 2.703386764782e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.491715909091e+01 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.263512088526e+01 4.594289934255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.312619061184e+01 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.954083157760e+01 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278613636364e+02 1.800000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.841363636364e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.420681818182e+01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.80229e+01 3.94500e+00 + 44 JET 2.450000000000e+00 1.406250000000e+03 2.760000000000e+03 8.467391304348e+01 1.270108695652e+00 2.286195652174e+00 2.700000000000e+00 6.933375730161e+00 8.188325637674e+00 8.467391304348e-01 1.000000000000e+00 4.233695652174e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.286776933122e+00 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.901780569551e+00 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.608967709108e+00 6.624198064672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622965110284e+00 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.710329205866e+00 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.281203849832e+01 2.694104675027e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.347697809373e+00 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.783634769104e+00 3.287476235656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.959580692721e+00 4.676269881006e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.936549413321e+00 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404157995482e-01 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.540217391304e-01 3.000000000000e-01 8.467391304348e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.318369565217e+00 5.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.773913043478e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.467391304348e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.81117e+00 3.32000e+00 + 45 JET 2.450000000000e+00 2.756250000000e+03 2.760000000000e+03 1.096808510638e+01 2.851702127660e-01 2.961382978723e-01 2.700000000000e+00 7.000905387053e-01 6.382978723404e+00 1.096808510638e-01 1.000000000000e+00 5.484042553191e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.308514861747e-01 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.540815650269e-01 8.698706800439e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.545492534693e-01 6.879498528236e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.636906500821e-01 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.199094225861e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.827791153061e+00 1.666463320928e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.622790222644e-01 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.369588726509e-01 2.160439770047e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.674592991739e-01 5.173731728646e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.818851148328e-02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.134551309889e-01 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.653364413213e-02 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.387234042553e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290425531915e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.096808510638e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.096808510638e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.29975e-01 3.00850e+00 + 46 JET 2.450000000000e+00 4.900000000000e+03 2.760000000000e+03 1.898947368421e+00 2.468631578947e-02 5.127157894737e-02 2.700000000000e+00 9.994459833795e-02 5.263157894737e+00 1.898947368421e-02 1.000000000000e+00 9.494736842105e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.430526346772e-02 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.512586378697e-01 7.965393901120e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.158669155765e-01 6.101639124039e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.861052693544e-02 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.892859294974e-02 3.103224129837e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.089144188683e-01 1.100159079406e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.031235680244e-02 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.617980655305e-02 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.120700756638e-01 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.329263157895e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.709052631579e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.034001667332e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.595789473684e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.937263157895e-02 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.797894736842e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.898947368421e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.56466e-02 3.45700e+00 + 47 JET 2.450000000000e+00 9.025000000000e+03 2.760000000000e+03 2.259375000000e-01 6.100312500000e-03 6.100312500000e-03 2.700000000000e+00 1.072077388952e-02 4.745017489138e+00 2.259375000000e-03 1.000000000000e+00 1.129687500000e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.067582427870e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.172762361891e-02 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.539155170671e-02 6.812305043082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.711250000000e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.279986910910e-03 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.253124831560e-02 9.972336737195e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.092005279864e-02 4.833218389438e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.957132612226e-03 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.821286097467e-02 8.061017305527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.518750000000e-03 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.259375000000e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.037500000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.570712560047e-02 6.951978135754e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.129687500000e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.100312500000e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.807500000000e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.259375000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.59444e-03 4.24650e+00 + 48 JET 2.450000000000e+00 1.822500000000e+04 2.760000000000e+03 1.169791666667e-02 1.006020833333e-03 3.158437500000e-04 2.700000000000e+00 5.169797625472e-04 4.419417382416e+00 1.169791666667e-04 1.000000000000e+00 5.848958333333e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.231063317551e-03 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.190212627130e-04 7.001428425686e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.112113844350e-04 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.112113844350e-04 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245320013265e-03 1.064565639122e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.213125081175e-04 4.456455991031e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.581383547109e-04 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-03 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.509375000000e-04 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.013069300469e-05 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-03 1.000000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.358333333333e-05 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.637708333333e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.169791666667e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.37536e-04 5.45000e+00 + 49 JET 2.450000000000e+00 3.422500000000e+04 2.760000000000e+03 5.484375000000e-04 2.138906250000e-04 1.480781250000e-05 2.700000000000e+00 3.281805808813e-05 5.983919423477e+00 5.484375000000e-06 1.000000000000e+00 2.742187500000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.032812500000e-05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.915175082716e-05 8.962142600963e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.209052827727e-05 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086046033869e-05 3.803616699932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.158700994145e-05 1.669962574431e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.637066352088e-05 4.808326112069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.771637014162e-06 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.580023803678e-05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072771614248e-05 7.426136276692e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.094807042303e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.902296874889e-05 1.805547008527e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.871875000000e-06 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.484375000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.935937500000e-06 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.484375000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.99983e-05 9.11650e+00 + 50 JET 2.450000000000e+00 5.522500000000e+04 2.760000000000e+03 6.525000000000e-05 7.373250000000e-05 1.761750000000e-06 2.700000000000e+00 3.904507423819e-06 5.983919423477e+00 6.525000000000e-07 1.000000000000e+00 3.262500000000e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.036116595822e-06 1.078332045337e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.626772552223e-06 7.090839160494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.243179467133e-06 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.205063793729e-06 4.911975162804e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542745147051e-05 2.364360378623e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.883228494501e-06 2.886173937932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308258432039e-06 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.376063560260e-05 2.108909670896e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.774809319092e-06 8.850282481367e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.780978911632e-07 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.068280909808e-05 3.169779172119e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.438500000000e-06 1.140000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.045500000000e-06 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.022750000000e-06 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 6.525000000000e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.04041e-05 1.59450e+01 + 51 JET 3.200000000000e+00 6.250000000000e+02 2.760000000000e+03 3.643023255814e+02 8.378953488372e+00 9.836162790698e+00 2.700000000000e+00 4.278224577054e+01 1.174361039344e+01 7.286046511628e+00 2.000000000000e+00 1.821511627907e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.732426029169e+01 1.299038105677e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.103205816862e+01 8.518215775619e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.260157065178e+01 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.583659215976e+01 9.837047321224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.719182778858e+01 4.719110085599e+00 0.000000000000e+00 0.000000000000e+00 1.419381890534e+02 3.896164780910e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.293280207436e+00 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.791760168442e+01 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.895072544921e+01 5.201922721456e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.165767441860e+01 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.643023255814e-01 1.000000000000e-01 1.457209302326e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.921744186047e+01 1.900000000000e+01 0.000000000000e+00 0.000000000000e+00 3.643023255814e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.286046511628e+00 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.36067e+01 3.73500e+00 + 52 JET 3.200000000000e+00 1.406250000000e+03 2.760000000000e+03 3.169662921348e+01 7.290224719101e-01 8.558089887640e-01 2.700000000000e+00 2.775851404707e+00 8.757560262989e+00 6.339325842697e-01 2.000000000000e+00 1.584831460674e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.300334656458e+00 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.460111075886e+00 1.407124727947e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.519981695435e+00 7.950314459190e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.903909688777e+00 6.006662967072e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.607191011236e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.411592932205e+01 4.453448102314e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.078617244183e+00 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.205305743310e+00 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.910231487098e+00 6.026607669328e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.745008611321e-02 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.300334656458e+00 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.169662921348e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.584831460674e-01 5.000000000000e-01 1.584831460674e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.838404494382e+00 5.800000000000e+00 0.000000000000e+00 0.000000000000e+00 9.508988764045e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.169662921348e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.34093e+00 4.23050e+00 + 53 JET 3.200000000000e+00 2.756250000000e+03 2.760000000000e+03 2.476923076923e+00 5.696923076923e-02 6.687692307692e-02 2.700000000000e+00 1.861066684125e-01 7.513623258889e+00 2.476923076923e-02 1.000000000000e+00 1.238461538462e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.665237108455e-02 1.883480820184e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.101103735559e-01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.452404027642e-01 9.901010049485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.437202466250e-01 5.802370205356e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.075507550741e-02 2.856571371417e+00 0.000000000000e+00 0.000000000000e+00 8.911580611102e-01 3.597843103861e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218233263387e-01 4.918333050943e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.991551410400e-02 2.822676035254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.912370696406e-01 7.720751258783e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.953846153846e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.087303842409e-02 3.668787265569e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.256584317296e-02 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 5.449230769231e-02 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.907692307692e-02 4.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733846153846e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.476923076923e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.50535e-01 6.07750e+00 + 54 JET 3.200000000000e+00 4.900000000000e+03 2.760000000000e+03 1.949450549451e-01 7.602857142857e-03 5.263516483516e-03 2.700000000000e+00 1.421010114259e-02 7.289285253528e+00 1.949450549451e-03 1.000000000000e+00 9.747252747253e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.024790992489e-03 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.440708973772e-02 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823231377781e-02 9.352539762011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.423365924068e-02 7.301369734509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.119525895818e-03 4.165033013074e+00 0.000000000000e+00 0.000000000000e+00 5.052650905304e-02 2.591833327975e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.200891602663e-02 6.160154218849e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.943308443721e-03 2.535744466621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.839934349858e-02 9.438220171198e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.986861078383e-03 1.532155344604e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.949450549451e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.607558105461e-03 8.246211251235e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.891900894610e-03 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 8.577582417582e-03 4.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.618043956044e-02 8.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.754505494505e-03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.949450549451e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.79427e-02 9.20400e+00 + 55 JET 3.200000000000e+00 9.025000000000e+03 2.760000000000e+03 4.981318681319e-03 7.471978021978e-04 1.344956043956e-04 2.700000000000e+00 3.631025280686e-04 7.289285253528e+00 4.981318681319e-05 1.000000000000e+00 2.490659340659e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.248746556107e-05 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.951572554462e-04 1.395528573695e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.949022211970e-04 9.935164819972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.989282425302e-04 1.001598722044e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.266078359737e-04 2.541653005428e+00 0.000000000000e+00 0.000000000000e+00 1.076100313891e-03 2.160271973618e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.138018936706e-04 8.307075297600e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.518281092641e-04 3.047950130826e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.227793949560e-04 1.250229978844e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.866997975946e-04 3.747999466382e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.313948522368e-06 8.660254037844e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.030885262153e-05 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.894607212320e-04 1.183342722967e+01 0.000000000000e+00 0.000000000000e+00 1.245329670330e-04 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.295142857143e-04 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 8.966373626374e-05 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.981318681319e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.28891e-04 1.26250e+01 + 56 JET 3.200000000000e+00 1.822500000000e+04 2.760000000000e+03 1.656043956044e-04 1.142670329670e-04 4.471318681319e-06 2.700000000000e+00 1.189867294031e-05 7.184998258584e+00 1.656043956044e-06 1.000000000000e+00 8.280219780220e-07 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.746238219267e-07 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.933261280850e-05 2.375094734953e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.002643178651e-05 1.209293492085e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.124130575688e-05 1.282653499586e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.492111973781e-06 4.524102120863e+00 0.000000000000e+00 0.000000000000e+00 6.004455483417e-05 3.625782674127e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.439450549451e-06 5.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.908801978496e-06 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.147297092577e-05 2.504339982910e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.298003156125e-06 5.010738468529e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.025999467570e-07 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.941132373727e-05 2.379847684202e+01 0.000000000000e+00 0.000000000000e+00 4.388516483516e-05 2.650000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.968131868132e-05 3.000000000000e+01 0.000000000000e+00 0.000000000000e+00 3.312087912088e-07 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.656043956044e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.69157e-05 2.83300e+01 + 57 JET 4.000000000000e+00 6.250000000000e+02 2.760000000000e+03 5.962820512821e+01 3.458435897436e+00 1.609961538462e+00 2.700000000000e+00 9.012899621300e+00 1.511516169558e+01 1.192564102564e+00 2.000000000000e+00 2.981410256410e-01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.166566058831e+01 1.956399754651e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.797399610157e+00 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.102718827993e+01 1.849324200891e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.105250064093e+00 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.187581483443e+00 7.022819946432e+00 5.891963696049e+01 9.881168959187e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.279950526226e+00 3.823610858861e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.360204199565e+00 7.312318373813e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.801736850439e+00 8.052794545995e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.192564102564e+00 2.000000000000e+00 3.97720e+00 6.67000e+00 + 58 JET 4.000000000000e+00 1.406250000000e+03 2.760000000000e+03 1.705128205128e+00 1.091282051282e-01 4.603846153846e-02 2.700000000000e+00 2.630096732846e-01 1.542462745579e+01 1.705128205128e-02 1.000000000000e+00 8.525641025641e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.858746170787e-01 1.090091739259e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.774358974359e-01 2.800000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.005817488444e-01 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.115384615385e-02 3.000000000000e+00 3.239743589744e-02 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.898717948718e-01 1.700000000000e+01 3.239743589744e-02 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.705128205128e-02 1.000000000000e+00 2.34540e-01 1.37550e+01 + 59 JET 4.000000000000e+00 2.756250000000e+03 2.760000000000e+03 1.170128205128e-02 2.106230769231e-03 3.159346153846e-04 2.700000000000e+00 1.849526844349e-03 1.580618975120e+01 1.170128205128e-04 1.000000000000e+00 5.850641025641e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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9.120246761931e-05 7.794228634060e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.366825792399e-04 7.150349641801e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.810135422857e-04 2.401561991705e+00 1.766893589744e-03 1.510000000000e+01 2.340256410256e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.989217948718e-03 1.700000000000e+01 2.106230769231e-04 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.170128205128e-04 1.000000000000e+00 3.78361e-03 3.23350e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat index b3aa77fc87..1cda967525 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLASR04JETS36PB_SF.dat @@ -1,91 +1,91 @@ -ATLASR04JETS36PB 91 90 - 1 JET 1.500000000000e-01 6.250000000000e+02 7.000000000000e+03 4.836252525253e+06 4.159177171717e+04 1.692688383838e+05 3.500000000000e+00 5.373613916947e+05 1.111111111111e+01 3.385376767677e+04 7.000000000000e-01 4.836252525253e+04 1.000000000000e+00 1.595963333333e+04 3.300000000000e-01 4.741501044466e+05 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.728559039220e+03 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.920451515152e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568180606061e+02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.920451515152e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 5 JET 1.500000000000e-01 9.025000000000e+03 7.000000000000e+03 8.766993939394e+03 5.961555878788e+01 3.068447878788e+02 3.500000000000e+00 3.542219773493e+02 4.040404040404e+00 3.506797575758e+01 4.000000000000e-01 8.766993939394e+01 1.000000000000e+00 8.766993939394e+00 1.000000000000e-01 3.506797575758e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.791526892353e+02 6.606057825965e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.389494920201e+02 3.866199684445e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.849947334662e+02 3.250769139758e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.753398787879e+02 2.000000000000e+00 2.016408606061e+02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.766993939394e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 6 JET 1.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.522905050505e+03 9.442011313131e+00 5.330167676768e+01 3.500000000000e+00 4.614863789409e+01 3.030303030303e+00 5.330167676768e+00 3.500000000000e-01 1.522905050505e+01 1.000000000000e+00 1.066033535354e+00 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.522905050505e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 7 JET 1.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.587498000000e+02 1.785373620000e+00 9.056243000000e+00 3.500000000000e+00 7.762494000000e+00 3.000000000000e+00 8.797493200000e-01 3.400000000000e-01 2.587498000000e+00 1.000000000000e+00 1.552498800000e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.460304583802e+00 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.963547351838e+00 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.504758566475e+01 5.815496539419e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.797381513927e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.722517000724e-01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.762494000000e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.164374100000e+01 4.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587498000000e-01 1.000000000000e-01 2.587498000000e-01 1.000000000000e-01 1.034999200000e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587498000000e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 8 JET 1.500000000000e-01 5.522500000000e+04 7.000000000000e+03 6.458558000000e+01 5.867712000000e-01 2.260495300000e+00 3.500000000000e+00 1.937567400000e+00 3.000000000000e+00 2.389666460000e-01 3.700000000000e-01 6.458558000000e-01 1.000000000000e+00 3.229279000000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.553380989240e+00 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.747077019023e+00 5.801723881744e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.574087196917e+00 2.437211521391e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.448055825419e-01 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.841255483015e+00 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.415972616299e-01 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072990147476e+00 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.277042456766e+00 3.525620512761e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.643278781380e-01 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.137511749677e+00 6.406246951219e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.291711600000e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.583423200000e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.458558000000e-02 1.000000000000e-01 6.458558000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 9 JET 1.500000000000e-01 8.122500000000e+04 7.000000000000e+03 2.108709000000e+01 1.813387870000e-01 7.380481500000e-01 3.500000000000e+00 6.326127000000e-01 3.000000000000e+00 5.904385200000e-02 2.800000000000e-01 2.108709000000e-01 1.000000000000e+00 1.054354500000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.088541239687e+00 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130843934797e-01 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.227948398415e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.508007121884e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.677342829179e-01 2.218107301282e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.049069481757e-01 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245567122771e+00 5.906775770249e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.341403535164e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.095717337913e-01 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404271955841e+00 6.659391864127e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.217418000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.476096300000e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.108709000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 10 JET 1.500000000000e-01 1.260250000000e+05 7.000000000000e+03 6.071452000000e+00 6.253595560000e-02 2.125008200000e-01 3.500000000000e+00 1.214290400000e-01 2.000000000000e+00 1.578577520000e-02 2.600000000000e-01 6.071452000000e-02 1.000000000000e+00 3.035726000000e-03 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.105621220015e-01 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286517613379e-01 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.497933620771e-02 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.124038787046e-01 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.184711275569e-01 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540234454386e-02 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.765279379109e-01 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.537511048430e-01 4.179413834499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.474547218656e-02 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.103847964323e-01 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071452000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.857161600000e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071452000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 11 JET 1.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.354871000000e+00 2.736839420000e-02 4.742048500000e-02 3.500000000000e+00 2.709742000000e-02 2.000000000000e+00 2.845229100000e-03 2.100000000000e-01 1.354871000000e-02 1.000000000000e+00 6.774355000000e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.987197492667e-03 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.468692450762e-02 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.736705271069e-02 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.802538627923e-02 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783141337478e-03 5.744562646538e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.010401485603e-02 6.650375929224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.983502480653e-02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.740398119500e-03 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.050068729607e-01 7.750322573932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.709742000000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.419484000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.354871000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 12 JET 1.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.534889000000e-01 1.138234258000e-02 1.237211150000e-02 3.500000000000e+00 7.069778000000e-03 2.000000000000e+00 6.716289100000e-04 1.900000000000e-01 3.534889000000e-03 1.000000000000e+00 1.767444500000e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130244700000e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.220437144415e-03 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.544319783641e-03 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.010230212274e-02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.180150376233e-03 1.465435088975e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.262207839817e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.459924658064e-02 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.075298982200e-02 5.870902826653e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960190775030e-03 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.258239713385e-02 9.217374897442e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.060466700000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.474422300000e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.534889000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 13 JET 1.500000000000e-01 4.900000000000e+05 7.000000000000e+03 6.560428000000e-02 3.667320000000e-03 2.296149800000e-03 3.500000000000e+00 1.312085600000e-03 2.000000000000e+00 1.115272760000e-04 1.700000000000e-01 6.560428000000e-04 1.000000000000e+00 1.377689880000e-04 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.755379760000e-03 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.198232909660e-03 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.685082702261e-04 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286830920527e-03 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.965251531714e-04 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.988417177238e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.774599092367e-03 7.277877437825e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.871764297280e-03 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.249647038469e-04 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.369699246633e-03 9.709273917240e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.968128400000e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.592299600000e-04 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.560428000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 14 JET 1.500000000000e-01 8.100000000000e+05 7.000000000000e+03 1.028887000000e-02 1.718241290000e-03 3.601104500000e-04 3.500000000000e+00 2.057774000000e-04 2.000000000000e+00 1.131775700000e-05 1.100000000000e-01 1.028887000000e-04 1.000000000000e+00 2.160662700000e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.895544679926e-04 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.311239865139e-04 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039124933752e-04 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.652637232917e-04 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082778309760e-04 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.520248152983e-05 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.345408947584e-04 8.111103500757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.604546901782e-04 7.391041875135e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.018166505795e-04 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.185454650763e-03 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.144435000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.259983000000e-05 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028887000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 15 JET 1.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.161318000000e-03 4.331716140000e-04 4.064613000000e-05 3.500000000000e+00 2.322636000000e-05 2.000000000000e+00 1.393581600000e-06 1.200000000000e-01 1.161318000000e-05 1.000000000000e+00 2.438767800000e-06 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.846413871694e-05 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.333975717564e-05 5.454126877879e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.434592031995e-06 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.600085800000e-05 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.854109994968e-06 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.927054997484e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.725128219441e-05 8.374216381250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.992734819210e-05 8.604649905720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.690458200000e-05 4.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.749701991332e-04 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.129226000000e-06 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.645272000000e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.161318000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 16 JET 1.500000000000e-01 1.822500000000e+06 7.000000000000e+03 4.074800000000e-04 2.387832800000e-04 1.426180000000e-05 3.500000000000e+00 8.149600000000e-06 2.000000000000e+00 3.259840000000e-07 8.000000000000e-02 4.074800000000e-06 1.000000000000e+00 8.557080000000e-07 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.796483620728e-06 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587658420224e-05 6.350393688583e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.712319474830e-06 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.042663212760e-05 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.786102597034e-06 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.259585907816e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.796567936206e-05 9.317188417114e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.975541193184e-05 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.652518982122e-05 8.963676700997e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.763536693750e-05 1.905255888326e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.037400000000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.222440000000e-05 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e-07 1.000000000000e-01 4.074800000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 17 JET 5.500000000000e-01 6.250000000000e+02 7.000000000000e+03 4.792047959184e+06 2.923149255102e+04 1.677216785714e+05 3.500000000000e+00 5.378829341941e+05 1.122448979592e+01 3.354433571429e+04 7.000000000000e-01 4.792047959184e+04 1.000000000000e+00 1.437614387755e+04 3.000000000000e-01 4.675317576678e+05 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.930063679174e+05 8.201219421525e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.698162530795e+05 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.498195010204e+05 7.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.012660142857e+05 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.006330071429e+05 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.060580622449e+05 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.180645104871e+05 4.550549417378e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.389693908163e+05 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.229662346939e+04 1.300000000000e+00 1.868898704082e+05 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.584095918367e+03 2.000000000000e-01 9.584095918367e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 18 JET 5.500000000000e-01 1.406250000000e+03 7.000000000000e+03 7.511626262626e+05 8.938835252525e+03 2.629069191919e+04 3.500000000000e+00 5.311250892766e+04 7.070707070707e+00 3.229999292929e+03 4.300000000000e-01 7.511626262626e+03 1.000000000000e+00 1.502325252525e+03 2.000000000000e-01 3.607145188736e+04 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.740529494035e+04 1.030473192276e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.927277571087e+04 6.559535044498e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.160792978071e+04 8.201676657855e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.697610916630e+04 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.755545302475e+02 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.533194949495e+02 1.000000000000e-01 7.665974747475e+02 5.000000000000e-01 1.839833939394e+03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.533194949495e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 20 JET 5.500000000000e-01 4.900000000000e+03 7.000000000000e+03 3.817552525253e+04 3.168568595960e+02 1.336143383838e+03 3.500000000000e+00 1.928056830936e+03 5.050505050505e+00 1.145265757576e+02 3.000000000000e-01 3.817552525253e+02 1.000000000000e+00 6.108084040404e+01 1.600000000000e-01 2.290531515152e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.208496204425e+03 5.785110197740e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823156133902e+03 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.399928314911e+03 3.667083309662e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.562400707217e+02 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.101394332687e+02 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.594375424511e+02 1.465435088975e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.290531515152e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.817552525253e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 21 JET 5.500000000000e-01 9.025000000000e+03 7.000000000000e+03 8.592065656566e+03 4.811556767677e+01 3.007222979798e+02 3.500000000000e+00 3.471541679420e+02 4.040404040404e+00 3.264984949495e+01 3.800000000000e-01 8.592065656566e+01 1.000000000000e+00 9.451272222222e+00 1.100000000000e-01 3.436826262626e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.519372851342e+01 1.107925990308e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.040098544065e+02 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.929136555484e+01 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.577619696970e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.136692407088e+02 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.577619696970e+01 3.000000000000e-01 6.014445959596e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.592065656566e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 22 JET 5.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.481745454545e+03 6.519680000000e+00 5.186109090909e+01 3.500000000000e+00 4.490137741047e+01 3.030303030303e+00 5.186109090909e+00 3.500000000000e-01 1.481745454545e+01 1.000000000000e+00 1.185396363636e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.152293637489e+01 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.417497256293e+01 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.926269090909e+01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481745454545e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 23 JET 5.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.479865656566e+02 1.337686868687e+00 8.679529797980e+00 3.500000000000e+00 7.514744413835e+00 3.030303030303e+00 9.671476060606e-01 3.900000000000e-01 2.479865656566e+00 1.000000000000e+00 1.735905959596e-01 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071520077764e+01 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.955028035521e+00 3.611094017054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.978960574680e+00 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.627730704404e+00 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130783295729e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568600791538e+01 6.325345840347e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.479865656566e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.735905959596e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.479865656566e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 24 JET 5.500000000000e-01 5.522500000000e+04 7.000000000000e+03 6.173322000000e+01 4.444791840000e-01 2.160662700000e+00 3.500000000000e+00 1.851996600000e+00 3.000000000000e+00 1.851996600000e-01 3.000000000000e-01 6.173322000000e-01 1.000000000000e+00 4.321325400000e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.667418072421e+00 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.237776006074e+00 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.389683205386e+00 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.141647377449e+00 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.176175809103e+00 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.890172628969e+00 6.301587101675e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.018166505795e+00 3.269174207656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.754259602530e+00 7.701298591796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173322000000e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.469328800000e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173322000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 25 JET 5.500000000000e-01 8.122500000000e+04 7.000000000000e+03 1.996652000000e+01 1.357723360000e-01 6.988282000000e-01 3.500000000000e+00 5.989956000000e-01 3.000000000000e+00 4.991630000000e-02 2.500000000000e-01 1.996652000000e-01 1.000000000000e+00 1.397656400000e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.397723649406e-01 3.705064102010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.379856453298e-01 2.694438717061e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.388430805287e-01 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.312745429668e-01 2.660826939130e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631217844486e-01 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.142636333652e-01 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.311535940510e+00 6.568675665612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.237691372781e-01 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.187454063551e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.645997088244e+00 8.243785538210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.993304000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.397656400000e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996652000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 26 JET 5.500000000000e-01 1.260250000000e+05 7.000000000000e+03 5.745468000000e+00 5.285830560000e-02 2.010913800000e-01 3.500000000000e+00 1.149093600000e-01 2.000000000000e+00 1.723640400000e-02 3.000000000000e-01 5.745468000000e-02 1.000000000000e+00 4.021827600000e-03 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.911609678012e-01 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.438663351586e-01 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.801034199948e-02 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.740791473176e-01 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.510441785581e-02 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.051542425524e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.863159715556e-01 6.723838189606e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.442161845320e-01 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.368917143261e-02 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.234055126490e-01 9.109884741313e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745468000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.021827600000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745468000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 27 JET 5.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.212253000000e+00 2.133463410000e-02 4.242885500000e-02 3.500000000000e+00 2.424506000000e-02 2.000000000000e+00 2.909407200000e-03 2.400000000000e-01 1.212253000000e-02 1.000000000000e+00 8.485771000000e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.304351764637e-02 3.550704155516e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290993401146e-02 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.574762840721e-02 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290993401146e-02 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.458486970759e-02 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.636759000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.758419200000e-02 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.336667609272e-02 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.115799702037e-01 9.204346799203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.636759000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.849012000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.212253000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 28 JET 5.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.219092000000e-01 1.039074000000e-02 1.126682200000e-02 3.500000000000e+00 6.438184000000e-03 2.000000000000e+00 6.760093200000e-04 2.100000000000e-01 3.219092000000e-03 1.000000000000e+00 8.047730000000e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.002063578423e-02 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.417894448339e-03 2.304343724361e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.931455200000e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.281355085230e-03 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.251123555104e-03 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.149445756145e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.189455904704e-02 6.801470429253e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.627075076774e-02 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.365745069478e-03 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.387702434497e-02 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.438184000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.287636800000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.219092000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 29 JET 5.500000000000e-01 4.900000000000e+05 7.000000000000e+03 6.723420000000e-02 2.823836400000e-03 2.353197000000e-03 3.500000000000e+00 1.344684000000e-03 2.000000000000e+00 9.412788000000e-05 1.400000000000e-01 6.723420000000e-04 1.000000000000e+00 1.680855000000e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.264854658235e-03 3.368605052540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.815240043465e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.396006250247e-04 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.379120785532e-03 2.051219149677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.815240043465e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.689368000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.941942382464e-03 7.350340128185e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.105692632858e-03 6.106553856309e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.636337190064e-04 1.135781669160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.417711099706e-03 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344684000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.344684000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.723420000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 30 JET 5.500000000000e-01 8.100000000000e+05 7.000000000000e+03 7.945860000000e-03 9.455573400000e-04 2.781051000000e-04 3.500000000000e+00 1.589172000000e-04 2.000000000000e+00 1.032961800000e-05 1.300000000000e-01 7.945860000000e-05 1.000000000000e+00 1.986465000000e-05 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.254375504401e-04 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.553515572195e-04 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.559830564637e-05 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.344701981272e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.879399493055e-05 7.399324293474e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.605224423636e-05 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.777310882943e-04 8.529361054616e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.487247762264e-04 6.905794668248e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.429341928234e-04 3.057368149242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.197164520385e-03 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.972930000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.945860000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.945860000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 31 JET 5.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.405806000000e-03 4.301766360000e-04 4.920321000000e-05 3.500000000000e+00 2.811612000000e-05 2.000000000000e+00 1.968128400000e-06 1.400000000000e-01 1.405806000000e-05 1.000000000000e+00 3.514515000000e-06 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.677747402472e-05 5.461455849863e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.064805111263e-05 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.403751094081e-06 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.924335950484e-05 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.061360254811e-05 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.795571381965e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308891452925e-04 9.310612224768e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.133811081819e-04 8.065203035262e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.865499059174e-05 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478169235281e-04 1.762810256380e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.434836000000e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.092773200000e-05 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405806000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 32 JET 5.500000000000e-01 1.822500000000e+06 7.000000000000e+03 2.393945000000e-04 1.594367370000e-04 8.378807500000e-06 3.500000000000e+00 4.787890000000e-06 2.000000000000e+00 3.590917500000e-07 1.500000000000e-01 2.393945000000e-06 1.000000000000e+00 5.984862500000e-07 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.664566612742e-05 6.953236656407e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.214086557429e-05 5.071488933242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.345577488915e-06 9.797958971133e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.146450971916e-06 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.541981840525e-06 1.061838029080e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.633339500000e-05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286781423900e-05 9.552355730394e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.758236068607e-05 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.277549350058e-05 2.204540768505e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.196972500000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.745468000000e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.393945000000e-07 1.000000000000e-01 2.393945000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 33 JET 1.000000000000e+00 6.250000000000e+02 7.000000000000e+03 4.074800000000e+06 2.770864000000e+04 1.426180000000e+05 3.500000000000e+00 4.573755102041e+05 1.122448979592e+01 4.156296000000e+04 1.020000000000e+00 4.074800000000e+04 1.000000000000e+00 1.018700000000e+04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 3.708068000000e+05 9.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.069652616372e+05 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.709858688502e+05 9.104394543296e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.297240000000e+05 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.549495944746e+05 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 - 37 JET 1.000000000000e+00 9.025000000000e+03 7.000000000000e+03 7.768873737374e+03 5.515385858586e+01 2.719105808081e+02 3.500000000000e+00 3.138938883787e+02 4.040404040404e+00 5.438211616162e+01 7.000000000000e-01 7.768873737374e+01 1.000000000000e+00 9.322648484848e+00 1.200000000000e-01 0.000000000000e+00 0.000000000000e+00 3.538890408455e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.467440163339e+02 5.750434766172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.991520818674e+02 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 8.165899200000e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.103687000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 41 JET 1.000000000000e+00 8.122500000000e+04 7.000000000000e+03 1.619733000000e+01 1.587338340000e-01 5.669065500000e-01 3.500000000000e+00 4.859199000000e-01 3.000000000000e+00 6.316958700000e-02 3.900000000000e-01 1.619733000000e-01 1.000000000000e+00 9.718398000000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.835536323846e-01 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0.000000000000e+00 - 42 JET 1.000000000000e+00 1.260250000000e+05 7.000000000000e+03 4.461906000000e+00 4.729620360000e-02 1.561667100000e-01 3.500000000000e+00 8.923812000000e-02 2.000000000000e+00 2.141714880000e-02 4.800000000000e-01 4.461906000000e-02 1.000000000000e+00 2.677143600000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.351891250445e-01 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.052811280280e-01 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.987395182243e-01 6.695334196289e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.764992632078e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.826113732247e-02 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.052911594950e-01 9.083363914322e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.923812000000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.354287200000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.461906000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 43 JET 1.000000000000e+00 2.025000000000e+05 7.000000000000e+03 9.351666000000e-01 1.813286000000e-02 3.273083100000e-02 3.500000000000e+00 1.870333200000e-02 2.000000000000e+00 4.021216380000e-03 4.300000000000e-01 9.351666000000e-03 1.000000000000e+00 5.610999600000e-04 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.500000000000e-01 4.146109000000e-04 1.000000000000e+00 2.114515590000e-04 5.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.538536080809e-03 3.710795063056e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.441371102066e-04 1.071214264281e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.123371537159e-04 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.000000000000e+00 1.210000000000e+06 7.000000000000e+03 4.747142000000e-04 2.928986614000e-04 1.661499700000e-05 3.500000000000e+00 9.494284000000e-06 2.000000000000e+00 1.424142600000e-06 3.000000000000e-01 4.747142000000e-06 1.000000000000e+00 5.886456080000e-06 1.240000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.384399306324e-05 7.129340782990e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.213792402224e-05 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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4.900000000000e+03 7.000000000000e+03 2.775437755102e+04 2.026069561224e+02 9.714032142857e+02 3.500000000000e+00 1.416039670970e+03 5.102040816327e+00 1.332210122449e+02 4.800000000000e-01 2.775437755102e+02 1.000000000000e+00 2.775437755102e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.387718877551e+02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.845770443959e+03 6.650375929224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.498736387755e+03 5.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.647357595960e+01 3.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.299757497877e+00 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.886178585859e+00 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.387240608106e+01 4.450561762295e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.365853575758e+01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.900406262626e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.978638214507e+01 5.050495025243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.478658484848e+01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.982540351455e+01 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971544646465e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.084349555556e+01 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 55 JET 1.650000000000e+00 3.422500000000e+04 7.000000000000e+03 1.553774747475e+02 1.258557545455e+00 5.438211616162e+00 3.500000000000e+00 4.708408325681e+00 3.030303030303e+00 6.836608888889e-01 4.400000000000e-01 1.553774747475e+00 1.000000000000e+00 7.768873737374e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.265870053483e+00 4.676269881006e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.969407647040e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.465828165114e+00 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.318979530746e+00 1.492481155660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.163973743118e+00 5.254283966441e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.511496553577e+00 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.288321961526e+00 8.291561975888e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.488209176027e+00 6.106553856309e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.754866341270e+00 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.094391193589e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071175285931e+01 6.894019147058e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.215098989899e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.864529696970e+00 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553774747475e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 56 JET 1.650000000000e+00 5.522500000000e+04 7.000000000000e+03 3.477985858586e+01 2.294647474747e-01 1.217295050505e+00 3.500000000000e+00 1.053935108662e+00 3.030303030303e+00 2.017231797980e-01 5.800000000000e-01 3.477985858586e-01 1.000000000000e+00 1.738992929293e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.514721738422e+00 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.221263423054e+00 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.521381616162e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.770915857346e-01 1.946792233393e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.934194836747e+00 5.561249859519e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.955971717172e-01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.280667845607e-01 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.208657944535e+00 6.350393688583e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.117294498902e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.767731672586e+00 7.957857751933e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086791515152e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.521381616162e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.477985858586e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 57 JET 1.650000000000e+00 8.122500000000e+04 7.000000000000e+03 9.857723232323e+00 1.261788573737e-01 3.450203131313e-01 3.500000000000e+00 2.987188858280e-01 3.030303030303e+00 4.633129919192e-02 4.700000000000e-01 9.857723232323e-02 1.000000000000e+00 5.914633939394e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.899411792654e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.830986398172e-01 2.871846096155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583384807615e-01 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.915537261511e-01 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.113378152644e-01 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.893606796644e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.122223245601e-02 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.149907982348e-01 7.253102784326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.945552954084e-01 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.707407748534e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.987843690193e-01 9.117565464531e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971544646465e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.871950909091e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e-03 1.000000000000e-01 9.857723232323e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 58 JET 1.650000000000e+00 1.260250000000e+05 7.000000000000e+03 2.393945000000e+00 2.444880000000e-02 8.378807500000e-02 3.500000000000e+00 4.787890000000e-02 2.000000000000e+00 9.096991000000e-03 3.800000000000e-01 2.393945000000e-02 1.000000000000e+00 1.436367000000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.723950765850e-02 3.644173431658e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.472511890040e-02 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.951453616068e-02 1.232882800594e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.779400447434e-02 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.557536750211e-01 6.506150935845e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.039671355193e-02 1.687453703069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.548093439684e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.803420912119e-01 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.140269451895e-01 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.870488096919e-03 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.358582601836e-01 9.852283999155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.590917500000e-02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.393945000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 59 JET 1.650000000000e+00 2.025000000000e+05 7.000000000000e+03 3.983117000000e-01 7.886571660000e-03 1.394090950000e-02 3.500000000000e+00 7.966234000000e-03 2.000000000000e+00 1.832233820000e-03 4.600000000000e-01 3.983117000000e-03 1.000000000000e+00 2.788181900000e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.727497634387e-02 4.337049688440e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.280031524011e-02 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.397833248224e-03 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.294359819126e-02 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.888995700300e-02 7.253102784326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.014374777262e-03 1.509966887054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.422257248901e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.126873693287e-02 7.850318464878e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.117804992625e-02 5.316954015223e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.589235331172e-02 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.593246800000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983117000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983117000000e-04 1.000000000000e-01 3.983117000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 60 JET 1.650000000000e+00 3.025000000000e+05 7.000000000000e+03 7.385575000000e-02 3.484972700000e-03 2.584951250000e-03 3.500000000000e+00 1.477115000000e-03 2.000000000000e+00 3.249653000000e-04 4.400000000000e-01 7.385575000000e-04 1.000000000000e+00 4.283633500000e-04 5.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.956075817112e-03 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179370431310e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.588757180686e-03 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.957874003381e-03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.130917013739e-03 8.301204731845e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.107836250000e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.954230000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.573991537512e-03 8.901123524589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.985536657311e-03 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.828946259741e-04 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.033980500000e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.692787500000e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.862690000000e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.385575000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 61 JET 1.650000000000e+00 4.900000000000e+05 7.000000000000e+03 9.687837000000e-03 8.496233049000e-04 3.390742950000e-04 3.500000000000e+00 1.937567400000e-04 2.000000000000e+00 3.972013170000e-05 4.100000000000e-01 9.687837000000e-05 1.000000000000e+00 6.006458940000e-05 6.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.896672145607e-04 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765207910282e-04 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.417208373813e-04 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.149292155060e-04 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.822888679160e-04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.351965335080e-04 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.971983806128e-05 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.015179466916e-03 1.047890738579e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.787674551649e-04 9.070832376359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996611263928e-04 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765207910282e-03 1.822086715829e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.812702200000e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.034445770000e-04 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.937567400000e-05 2.000000000000e-01 9.687837000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 62 JET 1.650000000000e+00 8.100000000000e+05 7.000000000000e+03 4.950882000000e-04 1.940745744000e-04 1.732808700000e-05 3.500000000000e+00 1.485264600000e-05 3.000000000000e+00 1.881335160000e-06 3.800000000000e-01 4.950882000000e-06 1.000000000000e+00 3.366599760000e-06 6.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.986843556746e-05 8.052794545995e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.470857190197e-05 4.990741427884e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.246510435607e-06 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.228996824481e-05 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.941058400000e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.926065392597e-06 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.886835477906e-06 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.692852720340e-05 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.210200579637e-05 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.650803198896e-05 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.147280780557e-04 2.317326045251e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.445970200000e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.930843980000e-05 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.485264600000e-06 3.000000000000e-01 4.950882000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 63 JET 1.650000000000e+00 1.210000000000e+06 7.000000000000e+03 7.059591000000e-05 7.271378730000e-05 2.470856850000e-06 3.500000000000e+00 2.117877300000e-06 3.000000000000e+00 1.058938650000e-07 1.500000000000e-01 7.059591000000e-07 1.000000000000e+00 5.435885070000e-07 7.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.059591000000e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.074530903257e-06 8.604649905720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.765485384160e-06 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.547396780993e-06 7.857957749950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.208013694549e-06 5.960704656330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024857143076e-05 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1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 64 JET 2.450000000000e+00 6.250000000000e+02 7.000000000000e+03 2.928762500000e+06 2.020846125000e+04 1.025066875000e+05 3.500000000000e+00 3.050794270833e+05 1.041666666667e+01 3.719528375000e+04 1.270000000000e+00 2.928762500000e+04 1.000000000000e+00 5.857525000000e+02 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.803171511610e+05 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.167284250000e+05 7.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.885645206186e+02 6.285484020619e+02 3.500000000000e+00 9.256972048039e+02 5.154639175258e+00 1.023635969072e+02 5.700000000000e-01 1.795852577320e+02 1.000000000000e+00 3.591705154639e+00 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.180497811803e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.257096804124e+03 7.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.967790713901e+02 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.575844897959e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 69 JET 2.450000000000e+00 1.822500000000e+04 7.000000000000e+03 5.176659183673e+02 3.157762102041e+00 1.811830714286e+01 3.500000000000e+00 1.584691586839e+01 3.061224489796e+00 3.416595061224e+00 6.600000000000e-01 5.176659183673e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.313061877551e+01 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.123692489780e+01 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.254981090596e+00 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.228169498973e+00 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.183855824305e+01 6.150406490631e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405346178846e+01 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.415359523424e+00 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.033871200197e+01 5.860674022670e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.346701503244e+00 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.176659183673e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.028566839121e+01 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.070663673469e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.764988775510e+00 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.176659183673e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 70 JET 2.450000000000e+00 3.422500000000e+04 7.000000000000e+03 6.101910101010e+01 5.430699989899e-01 2.135668535354e+00 3.500000000000e+00 1.849063666973e+00 3.030303030303e+00 4.942547181818e-01 8.100000000000e-01 6.101910101010e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.383672836704e+00 5.545268253205e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.863837752592e+00 4.693346354149e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.766463619107e-01 1.272792206136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.209656546469e+00 1.982422760160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.616126246962e+00 7.565051222563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765077038900e+00 2.892663132824e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.001935055229e-01 9.836157786453e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.312436197127e+00 7.067354526271e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.909225168395e+00 3.128897569432e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.000645018410e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.026859312467e+00 8.238173341221e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.271337070707e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.763056161616e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.101910101010e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 71 JET 2.450000000000e+00 5.522500000000e+04 7.000000000000e+03 1.028989898990e+01 1.347976767677e-01 3.601464646465e-01 3.500000000000e+00 3.118151209060e-01 3.030303030303e+00 7.305828282828e-02 7.100000000000e-01 1.028989898990e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071040404040e-01 5.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.941294779091e-01 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.069357671315e-01 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.547139739079e-01 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.623531415891e-01 9.352406107521e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.469575757576e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.727894475432e-02 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.159166196464e-01 8.901123524589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.838441370137e-01 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082886598420e+00 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173939393939e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.955080808081e-01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028989898990e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 72 JET 2.450000000000e+00 8.122500000000e+04 7.000000000000e+03 1.903631313131e+00 3.883407878788e-02 6.662709595960e-02 3.500000000000e+00 5.768579736762e-02 3.030303030303e+00 1.066033535354e-02 5.600000000000e-01 1.903631313131e-02 1.000000000000e+00 4.187988888889e-03 2.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.005146175818e-01 5.280151512978e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.501249467124e-02 3.940494892777e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.748840495975e-02 3.019933774108e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.762405359294e-02 4.077683165720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.756789752725e-01 9.228623949430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.397726363732e-02 2.835489375752e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.601201772031e-02 8.411301920630e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.780378754827e-01 9.352539762011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.025269387551e-01 5.385861119635e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.242965383056e-03 4.330127018922e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.383343363094e-01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.713268181818e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.330167676768e-02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.903631313131e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.903631313131e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 73 JET 2.450000000000e+00 1.260250000000e+05 7.000000000000e+03 2.840012121212e-01 8.718837212121e-03 9.940042424242e-03 3.500000000000e+00 8.606097337006e-03 3.030303030303e+00 2.612811151515e-03 9.200000000000e-01 2.840012121212e-03 1.000000000000e+00 3.692015757576e-04 1.300000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.692847347494e-02 5.960704656330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.332916053483e-02 4.693346354149e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.604814932957e-03 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.539118884571e-02 5.419409561936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.713797750438e-02 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.874314527237e-03 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.941829082781e-03 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.431599702617e-02 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.193392310210e-02 7.723179397114e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.412888190918e-03 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.724588716342e-02 1.663580475961e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.988008484848e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.272009696970e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.840012121212e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 74 JET 2.450000000000e+00 2.025000000000e+05 7.000000000000e+03 1.691042000000e-02 1.943679600000e-03 5.918647000000e-04 3.500000000000e+00 5.073126000000e-04 3.000000000000e+00 1.809414940000e-04 1.070000000000e+00 1.691042000000e-04 1.000000000000e+00 2.367458800000e-05 1.400000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.470987854523e-03 8.698706800439e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.023150285382e-03 6.050413209030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.730846442197e-04 2.206241147291e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.023150285382e-03 6.050413209030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.716215650141e-03 1.606237840421e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.664947092762e-04 2.758622844827e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.211324356185e-04 1.307669683062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.454924758307e-03 1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.779615835843e-03 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.895824600183e-03 2.303801206702e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.029250400000e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.469835200000e-04 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.382084000000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.691042000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 75 JET 2.450000000000e+00 3.025000000000e+05 7.000000000000e+03 3.188531000000e-04 2.914317334000e-04 1.115985850000e-05 3.500000000000e+00 1.275412400000e-05 4.000000000000e+00 -2.231971700000e-07 -7.000000000000e-02 3.188531000000e-06 1.000000000000e+00 5.101649600000e-07 1.600000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.652474400000e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.799500304646e-06 2.132486811214e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.609033700000e-06 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.769529909481e-06 2.123087374556e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.321459482026e-05 1.355313616843e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.230064383767e-05 1.326649916142e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.665238114626e-05 8.358827668998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.144017377398e-05 2.240535650241e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.507384100000e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.550824800000e-05 8.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.782796500000e-06 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.188531000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 76 JET 3.200000000000e+00 6.250000000000e+02 7.000000000000e+03 2.070261290323e+06 1.614803806452e+04 7.245914516129e+04 3.500000000000e+00 2.226087408949e+05 1.075268817204e+01 7.929100741935e+04 3.830000000000e+00 2.070261290323e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.090861412531e+05 1.009950493836e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.594370035981e+05 7.701298591796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.990898284213e+05 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.238817759690e+05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.286219198135e+04 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 7.010670182555e+05 3.386369737639e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.832780016449e+04 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.602801340713e+04 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.016338502137e+04 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.488145148521e+04 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140522580645e+03 2.000000000000e-01 1.242156774194e+04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.898365806452e+05 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 6.210783870968e+03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140522580645e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 77 JET 3.200000000000e+00 1.406250000000e+03 7.000000000000e+03 2.893541489362e+05 4.832214287234e+03 1.012739521277e+04 3.500000000000e+00 2.462588501584e+04 8.510638297872e+00 7.725755776596e+03 2.670000000000e+00 2.893541489362e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.432449168239e+04 4.950505024742e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.333857086094e+04 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996962937467e+04 6.901449123191e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.795938272969e+04 9.662685961988e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.092128627681e+03 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 1.033099673386e+05 3.570364127088e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.670614217209e+03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.013565910252e+04 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.433617680042e+04 4.954543369474e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.000157125828e+04 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.893541489362e+02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.604187340426e+03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.880801968085e+04 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.893541489362e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 78 JET 3.200000000000e+00 2.756250000000e+03 7.000000000000e+03 4.557342105263e+04 1.681659236842e+03 1.595069736842e+03 3.500000000000e+00 2.878321329640e+03 6.315789473684e+00 8.112068947368e+02 1.780000000000e+00 4.557342105263e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.592095500740e+02 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 1.578709614758e+02 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.327900321473e+03 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.879040287207e+02 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 1.367202631579e+02 3.000000000000e-01 9.114684210526e+01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.570418421053e+02 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.557342105263e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 79 JET 3.200000000000e+00 4.900000000000e+03 7.000000000000e+03 9.094019791667e+03 1.536889344792e+02 3.182906927083e+02 3.500000000000e+00 4.736468641493e+02 5.208333333333e+00 3.046496630208e+02 3.350000000000e+00 9.094019791667e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.365813854167e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.307736946145e+02 6.936137253544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.875912869589e+02 5.361669516112e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.683331201135e+02 7.349149610669e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.273504947917e+02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 1.477603320800e+03 1.624807680927e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.052598443303e+02 3.356709698499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.501890515356e+02 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.523989221139e+02 4.974685919734e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.637607916667e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.967004952171e+01 8.760707733968e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.865382754420e+02 2.051219149677e+00 0.000000000000e+00 0.000000000000e+00 2.728205937500e+01 3.000000000000e-01 2.728205937500e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.545983364583e+02 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.094019791667e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 80 JET 3.200000000000e+00 9.025000000000e+03 7.000000000000e+03 1.375770103093e+03 4.691376051546e+01 4.815195360825e+01 3.500000000000e+00 5.673278775640e+01 4.123711340206e+00 5.736961329897e+01 4.170000000000e+00 1.375770103093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.629014276389e+00 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.089641188703e+02 7.920227269466e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.040663962455e+01 5.117616632770e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.135385483082e+02 8.252726822087e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.253386214440e+01 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 1.788501134021e+02 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.931229109503e+01 3.584340943605e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830343076179e+01 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.542530264374e+01 6.936137253544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.100021920694e+01 1.526433752247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.266931072200e+00 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.589214778147e+01 5.516339365920e+00 0.000000000000e+00 0.000000000000e+00 2.751540206186e+00 2.000000000000e-01 9.630390721649e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.026694226804e+01 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375770103093e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375770103093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 81 JET 3.200000000000e+00 1.822500000000e+04 7.000000000000e+03 1.218239175258e+02 1.876088329897e+00 4.263837113402e+00 3.500000000000e+00 3.767750026570e+00 3.092783505155e+00 2.948138804124e+00 2.420000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.650076912315e+00 7.921331958705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.130055574260e+00 5.031898250164e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.640700041850e+00 7.092778017110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583710927835e+00 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.646877339865e+01 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.034928793525e+00 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.177311945855e+00 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.874502389315e+00 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.436478350515e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.529363986128e+00 7.822243923581e+00 0.000000000000e+00 0.000000000000e+00 2.436478350515e-01 2.000000000000e-01 2.436478350515e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.629308865979e+00 3.800000000000e+00 0.000000000000e+00 0.000000000000e+00 3.654717525773e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 82 JET 3.200000000000e+00 3.422500000000e+04 7.000000000000e+03 5.789958163265e+00 2.269653205102e-01 2.026485357143e-01 3.500000000000e+00 1.772436172428e-01 3.061224489796e+00 1.511179080612e-01 2.610000000000e+00 5.789958163265e-02 1.000000000000e+00 9.842928877551e-03 1.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.090802400180e-01 8.792468367870e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.170377889135e-01 7.202777242148e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.421374238028e-01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.924453539563e-01 3.323777970924e+00 0.000000000000e+00 0.000000000000e+00 1.169514221256e+00 2.019900987672e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.256412885307e-01 3.897114317030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.064478540661e-02 1.392838827718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.996033067192e-01 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.740919962495e-01 4.733920151418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.898364735695e-02 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.484807856148e-01 1.465435088975e+01 0.000000000000e+00 0.000000000000e+00 5.789958163265e-02 1.000000000000e+00 2.894979081633e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.531874479592e-01 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.315983265306e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.789958163265e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 83 JET 3.200000000000e+00 5.522500000000e+04 7.000000000000e+03 3.004125510204e-01 2.457364272449e-02 1.051443928571e-02 3.500000000000e+00 1.226173677634e-02 4.081632653061e+00 8.922252765306e-03 2.970000000000e+00 3.004125510204e-03 1.000000000000e+00 5.707838469388e-04 1.900000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.539285845206e-02 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.093155573554e-02 6.967603605258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.961356709217e-02 1.651514456491e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.315227282749e-02 4.378070351194e+00 0.000000000000e+00 0.000000000000e+00 7.510313775510e-02 2.500000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.17048e+03 2.73850e+00 + 4 JET 1.500000000000e-01 4.900000000000e+03 7.000000000000e+03 3.920451515152e+04 4.312496666667e+02 1.372158030303e+03 3.500000000000e+00 1.980026017753e+03 5.050505050505e+00 1.058521909091e+02 2.700000000000e-01 3.920451515152e+02 1.000000000000e+00 5.880677272727e+01 1.500000000000e-01 2.352270909091e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.392118034875e+03 6.101639124039e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.609105840116e+02 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568180606061e+02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.920451515152e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.43485e+02 2.15150e+00 + 5 JET 1.500000000000e-01 9.025000000000e+03 7.000000000000e+03 8.766993939394e+03 5.961555878788e+01 3.068447878788e+02 3.500000000000e+00 3.542219773493e+02 4.040404040404e+00 3.506797575758e+01 4.000000000000e-01 8.766993939394e+01 1.000000000000e+00 8.766993939394e+00 1.000000000000e-01 3.506797575758e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.791526892353e+02 6.606057825965e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.389494920201e+02 3.866199684445e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.849947334662e+02 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737435948993e+02 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.766993939394e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.79110e+02 2.04300e+00 + 6 JET 1.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.522905050505e+03 9.442011313131e+00 5.330167676768e+01 3.500000000000e+00 4.614863789409e+01 3.030303030303e+00 5.330167676768e+00 3.500000000000e-01 1.522905050505e+01 1.000000000000e+00 1.066033535354e+00 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.861421142521e+01 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 1.688983405842e+01 1.109053650641e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.778750940579e+01 5.107837115649e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.515099706773e+01 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.840133173867e+01 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218324040404e+01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.522905050505e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.32831e+01 2.18550e+00 + 7 JET 1.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.587498000000e+02 1.785373620000e+00 9.056243000000e+00 3.500000000000e+00 7.762494000000e+00 3.000000000000e+00 8.797493200000e-01 3.400000000000e-01 2.587498000000e+00 1.000000000000e+00 1.552498800000e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.460304583802e+00 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.963547351838e+00 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.281864838627e+00 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.797381513927e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.722517000724e-01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.762494000000e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.164374100000e+01 4.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587498000000e-01 1.000000000000e-01 2.587498000000e-01 1.000000000000e-01 1.034999200000e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587498000000e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.04957e+00 2.33800e+00 + 8 JET 1.500000000000e-01 5.522500000000e+04 7.000000000000e+03 6.458558000000e+01 5.867712000000e-01 2.260495300000e+00 3.500000000000e+00 1.937567400000e+00 3.000000000000e+00 2.389666460000e-01 3.700000000000e-01 6.458558000000e-01 1.000000000000e+00 3.229279000000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 1.841255483015e+00 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.415972616299e-01 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.072990147476e+00 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.277042456766e+00 3.525620512761e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.643278781380e-01 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.137511749677e+00 6.406246951219e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.291711600000e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.583423200000e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.458558000000e-02 1.000000000000e-01 6.458558000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.71733e+00 2.65900e+00 + 9 JET 1.500000000000e-01 8.122500000000e+04 7.000000000000e+03 2.108709000000e+01 1.813387870000e-01 7.380481500000e-01 3.500000000000e+00 6.326127000000e-01 3.000000000000e+00 5.904385200000e-02 2.800000000000e-01 2.108709000000e-01 1.000000000000e+00 1.054354500000e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.088541239687e+00 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130843934797e-01 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.227948398415e-01 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.508007121884e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.677342829179e-01 2.218107301282e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.049069481757e-01 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245567122771e+00 5.906775770249e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.341403535164e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.095717337913e-01 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.404271955841e+00 6.659391864127e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.217418000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.476096300000e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.108709000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.84429e-01 2.77150e+00 + 10 JET 1.500000000000e-01 1.260250000000e+05 7.000000000000e+03 6.071452000000e+00 6.253595560000e-02 2.125008200000e-01 3.500000000000e+00 1.214290400000e-01 2.000000000000e+00 1.578577520000e-02 2.600000000000e-01 6.071452000000e-02 1.000000000000e+00 3.035726000000e-03 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.105621220015e-01 3.468068626772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286517613379e-01 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.497933620771e-02 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.124038787046e-01 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.184711275569e-01 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540234454386e-02 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.765279379109e-01 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.537511048430e-01 4.179413834499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.474547218656e-02 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.103847964323e-01 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071452000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.857161600000e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071452000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.87213e-01 3.08350e+00 + 11 JET 1.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.354871000000e+00 2.736839420000e-02 4.742048500000e-02 3.500000000000e+00 2.709742000000e-02 2.000000000000e+00 2.845229100000e-03 2.100000000000e-01 1.354871000000e-02 1.000000000000e+00 6.774355000000e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.987197492667e-03 6.633249580711e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.468692450762e-02 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.736705271069e-02 2.019900987672e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.802538627923e-02 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.783141337478e-03 5.744562646538e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.010401485603e-02 6.650375929224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.983502480653e-02 5.154367080447e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.740398119500e-03 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.050068729607e-01 7.750322573932e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.709742000000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.419484000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.354871000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.49275e-02 3.31600e+00 + 12 JET 1.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.534889000000e-01 1.138234258000e-02 1.237211150000e-02 3.500000000000e+00 7.069778000000e-03 2.000000000000e+00 6.716289100000e-04 1.900000000000e-01 3.534889000000e-03 1.000000000000e+00 1.767444500000e-04 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130244700000e-03 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.220437144415e-03 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.544319783641e-03 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.010230212274e-02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.180150376233e-03 1.465435088975e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.262207839817e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.459924658064e-02 6.958986995246e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.075298982200e-02 5.870902826653e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.960190775030e-03 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.258239713385e-02 9.217374897442e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.060466700000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.474422300000e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.534889000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.35210e-02 3.82500e+00 + 13 JET 1.500000000000e-01 4.900000000000e+05 7.000000000000e+03 6.560428000000e-02 3.667320000000e-03 2.296149800000e-03 3.500000000000e+00 1.312085600000e-03 2.000000000000e+00 1.115272760000e-04 1.700000000000e-01 6.560428000000e-04 1.000000000000e+00 1.377689880000e-04 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.755379760000e-03 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.198232909660e-03 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.685082702261e-04 7.141428428543e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286830920527e-03 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.965251531714e-04 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.988417177238e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.774599092367e-03 7.277877437825e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.871764297280e-03 5.901694671872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.249647038469e-04 9.526279441629e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.369699246633e-03 9.709273917240e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.968128400000e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.592299600000e-04 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.560428000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.80786e-03 4.28000e+00 + 14 JET 1.500000000000e-01 8.100000000000e+05 7.000000000000e+03 1.028887000000e-02 1.718241290000e-03 3.601104500000e-04 3.500000000000e+00 2.057774000000e-04 2.000000000000e+00 1.131775700000e-05 1.100000000000e-01 1.028887000000e-04 1.000000000000e+00 2.160662700000e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.895544679926e-04 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.311239865139e-04 5.162121656838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039124933752e-04 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.652637232917e-04 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082778309760e-04 1.052378258992e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.520248152983e-05 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.345408947584e-04 8.111103500757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.604546901782e-04 7.391041875135e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.018166505795e-04 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.185454650763e-03 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.144435000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.259983000000e-05 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028887000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.30391e-04 5.15500e+00 + 15 JET 1.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.161318000000e-03 4.331716140000e-04 4.064613000000e-05 3.500000000000e+00 2.322636000000e-05 2.000000000000e+00 1.393581600000e-06 1.200000000000e-01 1.161318000000e-05 1.000000000000e+00 2.438767800000e-06 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.846413871694e-05 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.333975717564e-05 5.454126877879e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.434592031995e-06 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.600085800000e-05 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.854109994968e-06 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.927054997484e-06 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.725128219441e-05 8.374216381250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.992734819210e-05 8.604649905720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.690458200000e-05 4.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.749701991332e-04 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.129226000000e-06 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.645272000000e-06 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.161318000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.79371e-05 5.85000e+00 + 16 JET 1.500000000000e-01 1.822500000000e+06 7.000000000000e+03 4.074800000000e-04 2.387832800000e-04 1.426180000000e-05 3.500000000000e+00 8.149600000000e-06 2.000000000000e+00 3.259840000000e-07 8.000000000000e-02 4.074800000000e-06 1.000000000000e+00 8.557080000000e-07 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.796483620728e-06 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.587658420224e-05 6.350393688583e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.712319474830e-06 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.042663212760e-05 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.786102597034e-06 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.259585907816e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.796567936206e-05 9.317188417114e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.975541193184e-05 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.652518982122e-05 8.963676700997e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.763536693750e-05 1.905255888326e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.037400000000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.222440000000e-05 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e-07 1.000000000000e-01 4.074800000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.70159e-05 6.63000e+00 + 17 JET 5.500000000000e-01 6.250000000000e+02 7.000000000000e+03 4.792047959184e+06 2.923149255102e+04 1.677216785714e+05 3.500000000000e+00 5.378829341941e+05 1.122448979592e+01 3.354433571429e+04 7.000000000000e-01 4.792047959184e+04 1.000000000000e+00 1.437614387755e+04 3.000000000000e-01 4.675317576678e+05 9.756408150544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.930063679174e+05 8.201219421525e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.698162530795e+05 9.804080783021e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.498195010204e+05 7.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.012660142857e+05 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.006330071429e+05 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.060580622449e+05 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.180645104871e+05 4.550549417378e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.389693908163e+05 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.229662346939e+04 1.300000000000e+00 1.868898704082e+05 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.584095918367e+03 2.000000000000e-01 9.584095918367e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.36008e+05 4.92500e+00 + 18 JET 5.500000000000e-01 1.406250000000e+03 7.000000000000e+03 7.511626262626e+05 8.938835252525e+03 2.629069191919e+04 3.500000000000e+00 5.311250892766e+04 7.070707070707e+00 3.229999292929e+03 4.300000000000e-01 7.511626262626e+03 1.000000000000e+00 1.502325252525e+03 2.000000000000e-01 3.607145188736e+04 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.740529494035e+04 1.030473192276e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.927277571087e+04 6.559535044498e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.160792978071e+04 8.201676657855e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.697610916630e+04 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.802790303030e+04 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403720404040e+04 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.381900656505e+04 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.403720404040e+04 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.245662293926e+03 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.511626262626e+03 1.000000000000e+00 1.276976464646e+04 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.511626262626e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.69142e+04 3.58300e+00 + 19 JET 5.500000000000e-01 2.756250000000e+03 7.000000000000e+03 1.533194949495e+05 3.296369141414e+03 5.366182323232e+03 3.500000000000e+00 9.292090603000e+03 6.060606060606e+00 4.292945858586e+02 2.800000000000e-01 1.533194949495e+03 1.000000000000e+00 2.913070404040e+02 1.900000000000e-01 2.737300499705e+03 1.785357107136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.092018035509e+04 7.122499561250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.695729764210e+03 5.671639974469e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.017193937875e+03 4.576843890718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.242870850440e+03 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.493595354459e+03 2.930870177951e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.537889222100e+03 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.319665175952e+03 4.121892769105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.542516188971e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983357325650e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.857440491762e+03 2.515949125082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.755545302475e+02 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.533194949495e+02 1.000000000000e-01 7.665974747475e+02 5.000000000000e-01 1.839833939394e+03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.533194949495e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.36194e+03 2.84500e+00 + 20 JET 5.500000000000e-01 4.900000000000e+03 7.000000000000e+03 3.817552525253e+04 3.168568595960e+02 1.336143383838e+03 3.500000000000e+00 1.928056830936e+03 5.050505050505e+00 1.145265757576e+02 3.000000000000e-01 3.817552525253e+02 1.000000000000e+00 6.108084040404e+01 1.600000000000e-01 2.290531515152e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.208496204425e+03 5.785110197740e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.823156133902e+03 4.775719841029e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.399928314911e+03 3.667083309662e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.627584247531e+02 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134237193189e+03 2.971110903349e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.216933807431e+02 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.633426294893e+03 4.278726446035e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.562400707217e+02 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.101394332687e+02 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.594375424511e+02 1.465435088975e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.290531515152e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.817552525253e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.31865e+02 2.44100e+00 + 21 JET 5.500000000000e-01 9.025000000000e+03 7.000000000000e+03 8.592065656566e+03 4.811556767677e+01 3.007222979798e+02 3.500000000000e+00 3.471541679420e+02 4.040404040404e+00 3.264984949495e+01 3.800000000000e-01 8.592065656566e+01 1.000000000000e+00 9.451272222222e+00 1.100000000000e-01 3.436826262626e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.983398080808e+02 5.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.181385625325e+02 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.455512552758e+02 2.857883832489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.486867316405e+01 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.284180899587e+02 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.519372851342e+01 1.107925990308e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.040098544065e+02 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.929136555484e+01 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.577619696970e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.136692407088e+02 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.577619696970e+01 3.000000000000e-01 6.014445959596e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.592065656566e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.96372e+02 2.28550e+00 + 22 JET 5.500000000000e-01 1.822500000000e+04 7.000000000000e+03 1.481745454545e+03 6.519680000000e+00 5.186109090909e+01 3.500000000000e+00 4.490137741047e+01 3.030303030303e+00 5.186109090909e+00 3.500000000000e-01 1.481745454545e+01 1.000000000000e+00 1.185396363636e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.152293637489e+01 5.501817881392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.417497256293e+01 3.656159186906e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.894248078044e+01 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.185396363636e+01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631788034059e+01 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.116237315044e+01 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.353325106957e+01 4.962610200288e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.299094124411e+01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481745454545e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.335388318117e+01 4.950505024742e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.926269090909e+01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.481745454545e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.21687e+01 2.17100e+00 + 23 JET 5.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.479865656566e+02 1.337686868687e+00 8.679529797980e+00 3.500000000000e+00 7.514744413835e+00 3.030303030303e+00 9.671476060606e-01 3.900000000000e-01 2.479865656566e+00 1.000000000000e+00 1.735905959596e-01 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071520077764e+01 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.955028035521e+00 3.611094017054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.978960574680e+00 2.814249455894e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.627730704404e+00 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.403319407571e+00 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.228432171337e+00 8.986100377806e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.377330423419e+01 5.554052574472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.556227411343e+00 2.240535650241e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.130783295729e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568600791538e+01 6.325345840347e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.479865656566e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.735905959596e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.479865656566e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.67889e+00 2.29000e+00 + 24 JET 5.500000000000e-01 5.522500000000e+04 7.000000000000e+03 6.173322000000e+01 4.444791840000e-01 2.160662700000e+00 3.500000000000e+00 1.851996600000e+00 3.000000000000e+00 1.851996600000e-01 3.000000000000e-01 6.173322000000e-01 1.000000000000e+00 4.321325400000e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.667418072421e+00 4.320879540094e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.237776006074e+00 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.389683205386e+00 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.141647377449e+00 1.849324200891e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.176175809103e+00 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.890172628969e+00 6.301587101675e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.018166505795e+00 3.269174207656e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.754259602530e+00 7.701298591796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173322000000e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.469328800000e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173322000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.52049e+00 2.46300e+00 + 25 JET 5.500000000000e-01 8.122500000000e+04 7.000000000000e+03 1.996652000000e+01 1.357723360000e-01 6.988282000000e-01 3.500000000000e+00 5.989956000000e-01 3.000000000000e+00 4.991630000000e-02 2.500000000000e-01 1.996652000000e-01 1.000000000000e+00 1.397656400000e-02 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.397723649406e-01 3.705064102010e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.379856453298e-01 2.694438717061e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.388430805287e-01 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.312745429668e-01 2.660826939130e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.631217844486e-01 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.142636333652e-01 5.722761571130e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.311535940510e+00 6.568675665612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.237691372781e-01 3.624913792078e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.187454063551e-02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.645997088244e+00 8.243785538210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.993304000000e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.397656400000e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996652000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.47781e-01 2.74350e+00 + 26 JET 5.500000000000e-01 1.260250000000e+05 7.000000000000e+03 5.745468000000e+00 5.285830560000e-02 2.010913800000e-01 3.500000000000e+00 1.149093600000e-01 2.000000000000e+00 1.723640400000e-02 3.000000000000e-01 5.745468000000e-02 1.000000000000e+00 4.021827600000e-03 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.911609678012e-01 3.327160951923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.438663351586e-01 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.801034199948e-02 1.705872210923e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.740791473176e-01 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.510441785581e-02 1.655294535725e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.051542425524e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.863159715556e-01 6.723838189606e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.442161845320e-01 4.250588194591e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.368917143261e-02 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.234055126490e-01 9.109884741313e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745468000000e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.021827600000e-02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.745468000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.73743e-01 3.02400e+00 + 27 JET 5.500000000000e-01 2.025000000000e+05 7.000000000000e+03 1.212253000000e+00 2.133463410000e-02 4.242885500000e-02 3.500000000000e+00 2.424506000000e-02 2.000000000000e+00 2.909407200000e-03 2.400000000000e-01 1.212253000000e-02 1.000000000000e+00 8.485771000000e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.304351764637e-02 3.550704155516e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290993401146e-02 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.574762840721e-02 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.290993401146e-02 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.458486970759e-02 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.636759000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.758419200000e-02 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.336667609272e-02 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.115799702037e-01 9.204346799203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.636759000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.849012000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.212253000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.01983e-02 3.31600e+00 + 28 JET 5.500000000000e-01 3.025000000000e+05 7.000000000000e+03 3.219092000000e-01 1.039074000000e-02 1.126682200000e-02 3.500000000000e+00 6.438184000000e-03 2.000000000000e+00 6.760093200000e-04 2.100000000000e-01 3.219092000000e-03 1.000000000000e+00 8.047730000000e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.002063578423e-02 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.417894448339e-03 2.304343724361e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.931455200000e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.281355085230e-03 1.951281630109e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.251123555104e-03 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.149445756145e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.189455904704e-02 6.801470429253e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.627075076774e-02 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.365745069478e-03 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.387702434497e-02 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.438184000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.287636800000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.219092000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.20571e-02 3.74550e+00 + 29 JET 5.500000000000e-01 4.900000000000e+05 7.000000000000e+03 6.723420000000e-02 2.823836400000e-03 2.353197000000e-03 3.500000000000e+00 1.344684000000e-03 2.000000000000e+00 9.412788000000e-05 1.400000000000e-01 6.723420000000e-04 1.000000000000e+00 1.680855000000e-04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.264854658235e-03 3.368605052540e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.815240043465e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.396006250247e-04 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.379120785532e-03 2.051219149677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.815240043465e-04 1.013656746636e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.689368000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.941942382464e-03 7.350340128185e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.105692632858e-03 6.106553856309e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.636337190064e-04 1.135781669160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.417711099706e-03 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344684000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.344684000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.723420000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.85409e-03 4.24500e+00 + 30 JET 5.500000000000e-01 8.100000000000e+05 7.000000000000e+03 7.945860000000e-03 9.455573400000e-04 2.781051000000e-04 3.500000000000e+00 1.589172000000e-04 2.000000000000e+00 1.032961800000e-05 1.300000000000e-01 7.945860000000e-05 1.000000000000e+00 1.986465000000e-05 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.254375504401e-04 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.553515572195e-04 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.559830564637e-05 1.203120941552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.344701981272e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.879399493055e-05 7.399324293474e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.605224423636e-05 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.777310882943e-04 8.529361054616e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.487247762264e-04 6.905794668248e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.429341928234e-04 3.057368149242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.197164520385e-03 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.972930000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.945860000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.945860000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.98088e-04 5.01000e+00 + 31 JET 5.500000000000e-01 1.210000000000e+06 7.000000000000e+03 1.405806000000e-03 4.301766360000e-04 4.920321000000e-05 3.500000000000e+00 2.811612000000e-05 2.000000000000e+00 1.968128400000e-06 1.400000000000e-01 1.405806000000e-05 1.000000000000e+00 3.514515000000e-06 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.677747402472e-05 5.461455849863e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.064805111263e-05 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.403751094081e-06 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.924335950484e-05 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.061360254811e-05 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.795571381965e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.308891452925e-04 9.310612224768e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.133811081819e-04 8.065203035262e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.865499059174e-05 6.306346010171e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.478169235281e-04 1.762810256380e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.434836000000e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.092773200000e-05 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405806000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.00607e-05 5.69500e+00 + 32 JET 5.500000000000e-01 1.822500000000e+06 7.000000000000e+03 2.393945000000e-04 1.594367370000e-04 8.378807500000e-06 3.500000000000e+00 4.787890000000e-06 2.000000000000e+00 3.590917500000e-07 1.500000000000e-01 2.393945000000e-06 1.000000000000e+00 5.984862500000e-07 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.664566612742e-05 6.953236656407e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.214086557429e-05 5.071488933242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.345577488915e-06 9.797958971133e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.146450971916e-06 3.402939905435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.541981840525e-06 1.061838029080e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.633339500000e-05 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.286781423900e-05 9.552355730394e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.758236068607e-05 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.277549350058e-05 2.204540768505e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.196972500000e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.745468000000e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.393945000000e-07 1.000000000000e-01 2.393945000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.51537e-05 6.33000e+00 + 33 JET 1.000000000000e+00 6.250000000000e+02 7.000000000000e+03 4.074800000000e+06 2.770864000000e+04 1.426180000000e+05 3.500000000000e+00 4.573755102041e+05 1.122448979592e+01 4.156296000000e+04 1.020000000000e+00 4.074800000000e+04 1.000000000000e+00 1.018700000000e+04 2.500000000000e-01 0.000000000000e+00 0.000000000000e+00 3.708068000000e+05 9.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.069652616372e+05 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.709858688502e+05 9.104394543296e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.297240000000e+05 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.549495944746e+05 3.802630668366e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.957740672659e+05 7.258615570479e+00 0.000000000000e+00 0.000000000000e+00 7.543884476820e+04 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.630938381855e+05 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.733945905116e+05 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.083276211062e+05 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.074800000000e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.830312000000e+05 9.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.889760000000e+04 1.200000000000e+00 8.149600000000e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.90497e+05 4.67500e+00 + 34 JET 1.000000000000e+00 1.406250000000e+03 7.000000000000e+03 6.923002040816e+05 1.045373308163e+04 2.423050714286e+04 3.500000000000e+00 4.945001457726e+04 7.142857142857e+00 4.984561469388e+03 7.200000000000e-01 6.923002040816e+03 1.000000000000e+00 1.384600408163e+03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.297522600789e+04 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.104767736051e+04 1.026255328853e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.664171930688e+04 6.737210105081e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.687453703069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.076315528750e+04 7.525124583686e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.357139857854e+03 5.842944463197e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.427292733122e+03 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.229610744693e+03 1.558845726812e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.716017907821e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.540524237320e+03 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.371877518571e+02 1.658312395178e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.151479797980e+02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.433917474747e+03 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.290887878788e+02 3.000000000000e-01 1.430295959596e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.73021e+03 2.60800e+00 + 36 JET 1.000000000000e+00 4.900000000000e+03 7.000000000000e+03 3.488275757576e+04 3.453393000000e+02 1.220896515152e+03 3.500000000000e+00 1.761755433119e+03 5.050505050505e+00 1.639489606061e+02 4.700000000000e-01 3.488275757576e+02 1.000000000000e+00 6.278896363636e+01 1.800000000000e-01 0.000000000000e+00 0.000000000000e+00 2.441793030303e+02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.978424422864e+03 5.671639974469e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 4.908439076383e+02 1.407124727947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.484362782410e+03 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.062806264398e+01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.790620606061e+02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.412450751217e+02 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.488275757576e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 5.232413636364e+02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.976551515152e+01 2.000000000000e-01 3.488275757576e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.92650e+02 2.55900e+00 + 37 JET 1.000000000000e+00 9.025000000000e+03 7.000000000000e+03 7.768873737374e+03 5.515385858586e+01 2.719105808081e+02 3.500000000000e+00 3.138938883787e+02 4.040404040404e+00 5.438211616162e+01 7.000000000000e-01 7.768873737374e+01 1.000000000000e+00 9.322648484848e+00 1.200000000000e-01 0.000000000000e+00 0.000000000000e+00 3.538890408455e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.467440163339e+02 5.750434766172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.991520818674e+02 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.100471298938e+02 2.703701166919e+00 0.000000000000e+00 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0.000000000000e+00 1.553774747475e+01 2.000000000000e-01 2.330662121212e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.087642323232e+02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553774747475e+01 2.000000000000e-01 7.768873737374e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.74411e+02 2.24500e+00 + 38 JET 1.000000000000e+00 1.822500000000e+04 7.000000000000e+03 1.317107070707e+03 6.585535353535e+00 4.609874747475e+01 3.500000000000e+00 3.991233547597e+01 3.030303030303e+00 8.297774545455e+00 6.300000000000e-01 1.317107070707e+01 1.000000000000e+00 1.053685656566e+00 8.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.317107070707e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.96283e+01 2.24950e+00 + 39 JET 1.000000000000e+00 3.422500000000e+04 7.000000000000e+03 2.109429292929e+02 1.222440000000e+00 7.383002525253e+00 3.500000000000e+00 6.392209978574e+00 3.030303030303e+00 1.328940454545e+00 6.300000000000e-01 2.109429292929e+00 1.000000000000e+00 1.265657575758e-01 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.357881032369e+00 4.436214602564e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.646499337354e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.213746991615e+01 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.933539796335e+00 2.338803112705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.916226454873e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.364582293368e+01 6.468964368429e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.218858585859e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.531315151515e+00 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.109429292929e-01 1.000000000000e-01 2.109429292929e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.29889e+00 2.51200e+00 + 40 JET 1.000000000000e+00 5.522500000000e+04 7.000000000000e+03 5.103687000000e+01 5.093500000000e-01 1.786290450000e+00 3.500000000000e+00 1.531106100000e+00 3.000000000000e+00 2.704954110000e-01 5.300000000000e-01 5.103687000000e-01 1.000000000000e+00 3.062212200000e-02 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.194585410000e+00 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.786290450000e+00 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.051842527054e+00 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.723829708922e-01 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.990437930000e+00 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 1.001090514261e+00 1.961504524593e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.500285791375e-01 4.898979485566e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.167576929907e+00 6.206448259673e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.659090819858e+00 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.940429782968e+00 7.720751258783e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.103687000000e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.165899200000e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.103687000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.36498e+00 2.67450e+00 + 41 JET 1.000000000000e+00 8.122500000000e+04 7.000000000000e+03 1.619733000000e+01 1.587338340000e-01 5.669065500000e-01 3.500000000000e+00 4.859199000000e-01 3.000000000000e+00 6.316958700000e-02 3.900000000000e-01 1.619733000000e-01 1.000000000000e+00 9.718398000000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.835536323846e-01 3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.144586270723e-01 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.313441458570e-01 1.428285685709e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.131906818385e-01 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.245430848467e-01 3.855839726960e+00 0.000000000000e+00 0.000000000000e+00 2.694556195070e-01 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.058069932335e-02 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.085462834273e+00 6.701492371107e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.913134752093e-01 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.805459850696e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.368722305256e+00 8.450295852809e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.457759700000e-01 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.239466000000e-02 2.000000000000e-01 1.619733000000e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.65511e-01 2.87400e+00 + 42 JET 1.000000000000e+00 1.260250000000e+05 7.000000000000e+03 4.461906000000e+00 4.729620360000e-02 1.561667100000e-01 3.500000000000e+00 8.923812000000e-02 2.000000000000e+00 2.141714880000e-02 4.800000000000e-01 4.461906000000e-02 1.000000000000e+00 2.677143600000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.351891250445e-01 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.052811280280e-01 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.501007165266e-02 1.232882800594e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.263594133121e-01 2.831960451701e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.731972598341e-01 3.881687777243e+00 0.000000000000e+00 0.000000000000e+00 6.659310623326e-02 1.492481155660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.593219117694e-02 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.987395182243e-01 6.695334196289e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.764992632078e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.826113732247e-02 4.092676385936e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.052911594950e-01 9.083363914322e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.923812000000e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.354287200000e-02 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.461906000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.45480e-01 3.26050e+00 + 43 JET 1.000000000000e+00 2.025000000000e+05 7.000000000000e+03 9.351666000000e-01 1.813286000000e-02 3.273083100000e-02 3.500000000000e+00 1.870333200000e-02 2.000000000000e+00 4.021216380000e-03 4.300000000000e-01 9.351666000000e-03 1.000000000000e+00 5.610999600000e-04 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.563463342431e-02 3.810511776652e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.715205937501e-02 2.903446228192e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.597329373133e-03 8.124038404636e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.715205937501e-02 2.903446228192e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.123225790088e-02 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 1.277965979210e-02 1.366565036872e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.339212671332e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.312720898498e-02 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.267834393060e-02 4.563715591489e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.886048600000e-03 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.663852906122e-04 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.125360943386e-03 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.597032507431e-03 4.402272140611e+00 0.000000000000e+00 0.000000000000e+00 2.947058605252e-03 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.930454595169e-04 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.602387378556e-02 7.350340128185e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.220810080000e-02 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.526012600000e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.398019800000e-02 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.360036000000e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.270027000000e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.180018000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.37127e-03 3.84000e+00 + 45 JET 1.000000000000e+00 4.900000000000e+05 7.000000000000e+03 4.146109000000e-02 2.761308594000e-03 1.451138150000e-03 3.500000000000e+00 8.292218000000e-04 2.000000000000e+00 1.036527250000e-04 2.500000000000e-01 4.146109000000e-04 1.000000000000e+00 2.114515590000e-04 5.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.538536080809e-03 3.710795063056e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.441371102066e-04 1.071214264281e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.123371537159e-04 7.533259586660e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.536050700000e-04 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.159163639138e-03 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 3.911431407745e-04 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.480457034022e-04 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.337746503665e-03 8.050310553016e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.802459935369e-03 6.759252917298e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.190921844818e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.604919870737e-03 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.292218000000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.292218000000e-04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.146109000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.79319e-03 4.32500e+00 + 46 JET 1.000000000000e+00 8.100000000000e+05 7.000000000000e+03 2.750490000000e-03 6.133592700000e-04 9.626715000000e-05 3.500000000000e+00 5.500980000000e-05 2.000000000000e+00 7.151274000000e-06 2.600000000000e-01 2.750490000000e-05 1.000000000000e+00 2.392926300000e-05 8.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.636657112727e-04 5.950420153233e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.812544135869e-05 3.567562192871e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.490674626860e-05 9.055385138137e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.351666000000e-05 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.697021124802e-04 6.169886546769e+00 0.000000000000e+00 0.000000000000e+00 2.251373094551e-05 8.185352771872e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134056079221e-05 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.788832748027e-04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.188800816811e-04 7.957857751933e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.004117222053e-04 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.691984457422e-04 1.705872210923e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375245000000e-05 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.200392000000e-05 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.750490000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.30236e-04 4.73500e+00 + 47 JET 1.000000000000e+00 1.210000000000e+06 7.000000000000e+03 4.747142000000e-04 2.928986614000e-04 1.661499700000e-05 3.500000000000e+00 9.494284000000e-06 2.000000000000e+00 1.424142600000e-06 3.000000000000e-01 4.747142000000e-06 1.000000000000e+00 5.886456080000e-06 1.240000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.384399306324e-05 7.129340782990e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.213792402224e-05 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.632417582605e-06 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.133971016616e-05 4.495275297465e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660843742624e-05 7.711679453919e+00 0.000000000000e+00 0.000000000000e+00 4.370207683854e-06 9.205976319761e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.103846837296e-06 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.551315243027e-05 1.169401556353e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.891802570929e-05 1.030473192276e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.876049437260e-05 8.165016840154e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.052967033042e-04 2.218107301282e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.848285200000e-06 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.133113720000e-05 6.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.747142000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.48988e-05 5.24500e+00 + 48 JET 1.000000000000e+00 1.822500000000e+06 7.000000000000e+03 1.039074000000e-04 1.080636960000e-04 3.636759000000e-06 3.500000000000e+00 2.078148000000e-06 2.000000000000e+00 2.701592400000e-07 2.600000000000e-01 1.039074000000e-06 1.000000000000e+00 1.756035060000e-06 1.690000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039074000000e-07 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.041305612690e-05 1.002147693706e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.211972150534e-06 7.903163923392e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.568967333199e-06 1.509966887054e+00 0.000000000000e+00 0.000000000000e+00 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1.039074000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.871203000000e-06 9.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.039074000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.80842e-06 5.59000e+00 + 49 JET 1.650000000000e+00 6.250000000000e+02 7.000000000000e+03 3.885762886598e+06 2.137169587629e+04 1.360017010309e+05 3.500000000000e+00 4.406535232224e+05 1.134020618557e+01 4.274339175258e+04 1.100000000000e+00 3.885762886598e+04 1.000000000000e+00 1.165728865979e+04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.596955227350e+05 9.256754290787e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.805633877481e+04 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.476589896907e+05 3.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.573973812702e+05 4.050617236916e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.89567e+05 4.87850e+00 + 50 JET 1.650000000000e+00 1.406250000000e+03 7.000000000000e+03 5.902158762887e+05 6.905525752577e+03 2.065755567010e+04 3.500000000000e+00 4.259289828887e+04 7.216494845361e+00 4.544662247423e+03 7.700000000000e-01 5.902158762887e+03 1.000000000000e+00 8.853238144330e+02 1.500000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.744821126764e+04 4.650537603331e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.082016381713e+04 1.030473192276e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.871541724335e+04 6.559535044498e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.286007123234e+04 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.250645019579e+04 2.118962010042e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.892498816501e+04 1.506651917332e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.328641355223e+04 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.800642141196e+04 3.050819562019e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.180431752577e+03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.311942886598e+03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.774014618557e+04 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.902158762887e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.26141e+04 3.83150e+00 + 51 JET 1.650000000000e+00 2.756250000000e+03 7.000000000000e+03 1.133043877551e+05 2.277314244898e+03 3.965653571429e+03 3.500000000000e+00 6.937003331945e+03 6.122448979592e+00 5.778523775510e+02 5.100000000000e-01 1.133043877551e+03 1.000000000000e+00 1.472957040816e+02 1.300000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.158738519436e+03 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.459217871773e+03 7.465922581972e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.667412077137e+03 5.884513573780e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.962489563123e+02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.772589117265e+03 1.564448784716e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.221797521936e+04 1.078332045337e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.351110156040e+03 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.109866435505e+03 1.862122444954e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.670285365956e+03 4.121892769105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.266087755102e+02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943734344685e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.012171097085e+03 2.658477007612e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.943734344685e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.798263265306e+02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.039478979592e+03 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.133043877551e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.91467e+03 3.45500e+00 + 52 JET 1.650000000000e+00 4.900000000000e+03 7.000000000000e+03 2.775437755102e+04 2.026069561224e+02 9.714032142857e+02 3.500000000000e+00 1.416039670970e+03 5.102040816327e+00 1.332210122449e+02 4.800000000000e-01 2.775437755102e+02 1.000000000000e+00 2.775437755102e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.387718877551e+02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.845770443959e+03 6.650375929224e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.498736387755e+03 5.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.110175102041e+02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.080086770047e+02 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.166264282816e+03 7.805126520435e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.603857040816e+02 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.458013145978e+02 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.359964500000e+03 4.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.210798807622e+01 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 7.60470e+02 2.74000e+00 + 53 JET 1.650000000000e+00 9.025000000000e+03 7.000000000000e+03 6.070620408163e+03 6.738388653061e+01 2.124717142857e+02 3.500000000000e+00 2.477804248230e+02 4.081632653061e+00 2.549660571429e+01 4.200000000000e-01 6.070620408163e+01 1.000000000000e+00 4.249434285714e+00 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.428248163265e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.772586552019e+02 6.214499175316e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.551105547782e+02 4.202380277890e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 2.490434566328e+02 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.070620408163e+00 1.000000000000e-01 1.214124081633e+01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.396242693878e+02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.070620408163e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.50096e+02 2.47250e+00 + 54 JET 1.650000000000e+00 1.822500000000e+04 7.000000000000e+03 9.857723232323e+02 6.997131313131e+00 3.450203131313e+01 3.500000000000e+00 2.987188858280e+01 3.030303030303e+00 4.830284383838e+00 4.900000000000e-01 9.857723232323e+00 1.000000000000e+00 4.928861616162e-01 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.570049791628e+01 5.650442460551e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.647357595960e+01 3.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.299757497877e+00 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.886178585859e+00 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.387240608106e+01 4.450561762295e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.365853575758e+01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.900406262626e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.978638214507e+01 5.050495025243e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.478658484848e+01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.982540351455e+01 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971544646465e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.084349555556e+01 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.28748e+01 2.32050e+00 + 55 JET 1.650000000000e+00 3.422500000000e+04 7.000000000000e+03 1.553774747475e+02 1.258557545455e+00 5.438211616162e+00 3.500000000000e+00 4.708408325681e+00 3.030303030303e+00 6.836608888889e-01 4.400000000000e-01 1.553774747475e+00 1.000000000000e+00 7.768873737374e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.265870053483e+00 4.676269881006e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.969407647040e+00 3.841874542460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.465828165114e+00 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.318979530746e+00 1.492481155660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.163973743118e+00 5.254283966441e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.511496553577e+00 2.259977875998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.288321961526e+00 8.291561975888e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.488209176027e+00 6.106553856309e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.754866341270e+00 2.416609194719e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.094391193589e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.071175285931e+01 6.894019147058e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.215098989899e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.864529696970e+00 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.553774747475e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.80442e+00 2.44850e+00 + 56 JET 1.650000000000e+00 5.522500000000e+04 7.000000000000e+03 3.477985858586e+01 2.294647474747e-01 1.217295050505e+00 3.500000000000e+00 1.053935108662e+00 3.030303030303e+00 2.017231797980e-01 5.800000000000e-01 3.477985858586e-01 1.000000000000e+00 1.738992929293e-02 5.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.514721738422e+00 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.221263423054e+00 3.511409973216e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.521381616162e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.770915857346e-01 1.946792233393e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.934194836747e+00 5.561249859519e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.955971717172e-01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.280667845607e-01 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.208657944535e+00 6.350393688583e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.117294498902e+00 3.212475680842e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.767731672586e+00 7.957857751933e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086791515152e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.521381616162e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.477985858586e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.85661e-01 2.83400e+00 + 57 JET 1.650000000000e+00 8.122500000000e+04 7.000000000000e+03 9.857723232323e+00 1.261788573737e-01 3.450203131313e-01 3.500000000000e+00 2.987188858280e-01 3.030303030303e+00 4.633129919192e-02 4.700000000000e-01 9.857723232323e-02 1.000000000000e+00 5.914633939394e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.899411792654e-01 3.955692101264e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.830986398172e-01 2.871846096155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583384807615e-01 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.915537261511e-01 2.957617284234e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.113378152644e-01 6.201612693485e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.893606796644e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.122223245601e-02 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.149907982348e-01 7.253102784326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.945552954084e-01 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.707407748534e-02 1.732050807569e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.987843690193e-01 9.117565464531e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971544646465e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.871950909091e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.857723232323e-03 1.000000000000e-01 9.857723232323e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.03125e-01 3.07500e+00 + 58 JET 1.650000000000e+00 1.260250000000e+05 7.000000000000e+03 2.393945000000e+00 2.444880000000e-02 8.378807500000e-02 3.500000000000e+00 4.787890000000e-02 2.000000000000e+00 9.096991000000e-03 3.800000000000e-01 2.393945000000e-02 1.000000000000e+00 1.436367000000e-03 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.723950765850e-02 3.644173431658e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.472511890040e-02 2.703701166919e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.951453616068e-02 1.232882800594e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.779400447434e-02 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.557536750211e-01 6.506150935845e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.039671355193e-02 1.687453703069e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.548093439684e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.803420912119e-01 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.140269451895e-01 4.763139720814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.870488096919e-03 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.358582601836e-01 9.852283999155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.590917500000e-02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.393945000000e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.92755e-02 3.31150e+00 + 59 JET 1.650000000000e+00 2.025000000000e+05 7.000000000000e+03 3.983117000000e-01 7.886571660000e-03 1.394090950000e-02 3.500000000000e+00 7.966234000000e-03 2.000000000000e+00 1.832233820000e-03 4.600000000000e-01 3.983117000000e-03 1.000000000000e+00 2.788181900000e-04 7.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.727497634387e-02 4.337049688440e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.280031524011e-02 3.213642792844e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.397833248224e-03 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.294359819126e-02 3.249615361854e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.888995700300e-02 7.253102784326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.014374777262e-03 1.509966887054e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.422257248901e-03 3.570714214271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.126873693287e-02 7.850318464878e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.117804992625e-02 5.316954015223e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.589235331172e-02 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.593246800000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983117000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.983117000000e-04 1.000000000000e-01 3.983117000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.41918e-02 3.56300e+00 + 60 JET 1.650000000000e+00 3.025000000000e+05 7.000000000000e+03 7.385575000000e-02 3.484972700000e-03 2.584951250000e-03 3.500000000000e+00 1.477115000000e-03 2.000000000000e+00 3.249653000000e-04 4.400000000000e-01 7.385575000000e-04 1.000000000000e+00 4.283633500000e-04 5.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.956075817112e-03 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.179370431310e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.588757180686e-03 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.957874003381e-03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.130917013739e-03 8.301204731845e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.107836250000e-03 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.954230000000e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.573991537512e-03 8.901123524589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.985536657311e-03 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.828946259741e-04 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.033980500000e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.692787500000e-04 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.862690000000e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.385575000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.72048e-03 3.68350e+00 + 61 JET 1.650000000000e+00 4.900000000000e+05 7.000000000000e+03 9.687837000000e-03 8.496233049000e-04 3.390742950000e-04 3.500000000000e+00 1.937567400000e-04 2.000000000000e+00 3.972013170000e-05 4.100000000000e-01 9.687837000000e-05 1.000000000000e+00 6.006458940000e-05 6.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.896672145607e-04 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765207910282e-04 1.822086715829e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.417208373813e-04 1.462873883833e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.149292155060e-04 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.822888679160e-04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.351965335080e-04 1.395528573695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.971983806128e-05 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.015179466916e-03 1.047890738579e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.787674551649e-04 9.070832376359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996611263928e-04 2.060946384552e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765207910282e-03 1.822086715829e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.812702200000e-05 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.034445770000e-04 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.937567400000e-05 2.000000000000e-01 9.687837000000e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.78794e-04 3.91000e+00 + 62 JET 1.650000000000e+00 8.100000000000e+05 7.000000000000e+03 4.950882000000e-04 1.940745744000e-04 1.732808700000e-05 3.500000000000e+00 1.485264600000e-05 3.000000000000e+00 1.881335160000e-06 3.800000000000e-01 4.950882000000e-06 1.000000000000e+00 3.366599760000e-06 6.800000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.986843556746e-05 8.052794545995e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.470857190197e-05 4.990741427884e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.246510435607e-06 6.557438524302e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.228996824481e-05 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.941058400000e-05 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.926065392597e-06 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.886835477906e-06 5.830951894845e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.692852720340e-05 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.210200579637e-05 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.650803198896e-05 5.354203955772e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.147280780557e-04 2.317326045251e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.445970200000e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.930843980000e-05 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.485264600000e-06 3.000000000000e-01 4.950882000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.01377e-05 4.06750e+00 + 63 JET 1.650000000000e+00 1.210000000000e+06 7.000000000000e+03 7.059591000000e-05 7.271378730000e-05 2.470856850000e-06 3.500000000000e+00 2.117877300000e-06 3.000000000000e+00 1.058938650000e-07 1.500000000000e-01 7.059591000000e-07 1.000000000000e+00 5.435885070000e-07 7.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.059591000000e-08 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.074530903257e-06 8.604649905720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.765485384160e-06 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.547396780993e-06 7.857957749950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.208013694549e-06 5.960704656330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.024857143076e-05 1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.329874323073e-07 7.549834435271e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.668271087797e-07 5.196152422707e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.095374656899e-05 1.551612064918e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.883427400000e-06 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.133862108701e-06 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 2.89584e-06 4.10200e+00 + 64 JET 2.450000000000e+00 6.250000000000e+02 7.000000000000e+03 2.928762500000e+06 2.020846125000e+04 1.025066875000e+05 3.500000000000e+00 3.050794270833e+05 1.041666666667e+01 3.719528375000e+04 1.270000000000e+00 2.928762500000e+04 1.000000000000e+00 5.857525000000e+02 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.803171511610e+05 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.167284250000e+05 7.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.803171511610e+05 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.971006488262e+04 4.563715591489e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.379069939996e+04 1.013940333550e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.713246748070e+04 6.282316451756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.890828842262e+04 4.378070351194e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.984378101273e+03 2.080264406271e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.079499920641e+05 2.499499949990e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.952146098609e+03 2.304343724361e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344408875324e+04 3.112876483255e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.861124534129e+04 4.309292285283e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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5.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.318863541667e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.64354e+04 3.80550e+00 + 66 JET 2.450000000000e+00 2.756250000000e+03 7.000000000000e+03 8.401649484536e+04 2.386068453608e+03 2.940577319588e+03 3.500000000000e+00 5.196896588373e+03 6.185567010309e+00 4.620907216495e+02 5.500000000000e-01 8.401649484536e+02 1.000000000000e+00 1.680329896907e+01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.946936117359e+03 2.317326045251e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.412831060611e+03 7.632823854905e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.278182077859e+03 6.282316451756e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913566739603e+03 2.277608394786e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.527968796333e+03 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.231207195991e+04 1.465435088975e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.617690268628e+03 3.115686120263e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.412824427343e+03 2.871846096155e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.182812566190e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.680329896907e+02 2.000000000000e-01 8.401649484536e+01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344263917526e+03 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.401649484536e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.38607e+03 2.84000e+00 + 67 JET 2.450000000000e+00 4.900000000000e+03 7.000000000000e+03 1.795852577320e+04 1.885645206186e+02 6.285484020619e+02 3.500000000000e+00 9.256972048039e+02 5.154639175258e+00 1.023635969072e+02 5.700000000000e-01 1.795852577320e+02 1.000000000000e+00 3.591705154639e+00 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.180497811803e+01 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.257096804124e+03 7.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.967790713901e+02 5.550450432172e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 9.162368747245e+02 5.101960407530e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.387557731959e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.636099562361e+02 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.242496248734e+02 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.591705154639e+01 2.000000000000e-01 5.387557731959e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.436682061856e+02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.795852577320e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.51837e+02 2.51600e+00 + 68 JET 2.450000000000e+00 9.025000000000e+03 7.000000000000e+03 3.575844897959e+03 2.144467448980e+01 1.251545714286e+02 3.500000000000e+00 1.459528529779e+02 4.081632653061e+00 2.789159020408e+01 7.800000000000e-01 3.575844897959e+01 1.000000000000e+00 7.151689795918e-01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.072753469388e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.235046090444e+02 6.250399987201e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.509497933766e+02 4.221374183841e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.204298836142e+01 6.164414002969e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.557920750511e+01 9.949874371066e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.413827741189e+02 6.750370360210e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.118845240989e+02 3.128897569432e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.645158782438e+01 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.862187965360e+02 5.207686626517e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.645158782438e+01 1.299038105677e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.290317564877e+00 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.473924922834e+02 4.121892769105e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.072753469388e+01 3.000000000000e-01 3.575844897959e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.933429387755e+01 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.575844897959e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.36569e+01 2.33950e+00 + 69 JET 2.450000000000e+00 1.822500000000e+04 7.000000000000e+03 5.176659183673e+02 3.157762102041e+00 1.811830714286e+01 3.500000000000e+00 1.584691586839e+01 3.061224489796e+00 3.416595061224e+00 6.600000000000e-01 5.176659183673e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.313061877551e+01 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.123692489780e+01 4.102438299353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.254981090596e+00 1.208304597359e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.228169498973e+00 1.009950493836e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.183855824305e+01 6.150406490631e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.405346178846e+01 2.714774392100e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.415359523424e+00 8.529361054616e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.033871200197e+01 5.860674022670e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.346701503244e+00 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.176659183673e-01 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.028566839121e+01 5.850427334819e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.070663673469e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.764988775510e+00 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.176659183673e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.25353e+01 2.42150e+00 + 70 JET 2.450000000000e+00 3.422500000000e+04 7.000000000000e+03 6.101910101010e+01 5.430699989899e-01 2.135668535354e+00 3.500000000000e+00 1.849063666973e+00 3.030303030303e+00 4.942547181818e-01 8.100000000000e-01 6.101910101010e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.383672836704e+00 5.545268253205e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.863837752592e+00 4.693346354149e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.766463619107e-01 1.272792206136e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.209656546469e+00 1.982422760160e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.616126246962e+00 7.565051222563e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.765077038900e+00 2.892663132824e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.001935055229e-01 9.836157786453e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.312436197127e+00 7.067354526271e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.909225168395e+00 3.128897569432e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.000645018410e-01 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.026859312467e+00 8.238173341221e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.271337070707e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.763056161616e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.101910101010e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.73050e+00 2.83600e+00 + 71 JET 2.450000000000e+00 5.522500000000e+04 7.000000000000e+03 1.028989898990e+01 1.347976767677e-01 3.601464646465e-01 3.500000000000e+00 3.118151209060e-01 3.030303030303e+00 7.305828282828e-02 7.100000000000e-01 1.028989898990e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.071040404040e-01 5.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.941294779091e-01 4.802082881417e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.069357671315e-01 1.039230484541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.547139739079e-01 2.475378758897e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.623531415891e-01 9.352406107521e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.469575757576e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.727894475432e-02 6.538348415311e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.159166196464e-01 8.901123524589e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.838441370137e-01 4.702127178203e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.082886598420e+00 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.173939393939e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.955080808081e-01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028989898990e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.17289e-01 3.08350e+00 + 72 JET 2.450000000000e+00 8.122500000000e+04 7.000000000000e+03 1.903631313131e+00 3.883407878788e-02 6.662709595960e-02 3.500000000000e+00 5.768579736762e-02 3.030303030303e+00 1.066033535354e-02 5.600000000000e-01 1.903631313131e-02 1.000000000000e+00 4.187988888889e-03 2.200000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.005146175818e-01 5.280151512978e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.501249467124e-02 3.940494892777e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.748840495975e-02 3.019933774108e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.762405359294e-02 4.077683165720e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.756789752725e-01 9.228623949430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.397726363732e-02 2.835489375752e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.601201772031e-02 8.411301920630e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.780378754827e-01 9.352539762011e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.025269387551e-01 5.385861119635e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.242965383056e-03 4.330127018922e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.383343363094e-01 1.251998402555e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.713268181818e-02 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.330167676768e-02 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.903631313131e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.903631313131e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.93731e-02 3.64425e+00 + 73 JET 2.450000000000e+00 1.260250000000e+05 7.000000000000e+03 2.840012121212e-01 8.718837212121e-03 9.940042424242e-03 3.500000000000e+00 8.606097337006e-03 3.030303030303e+00 2.612811151515e-03 9.200000000000e-01 2.840012121212e-03 1.000000000000e+00 3.692015757576e-04 1.300000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.692847347494e-02 5.960704656330e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.332916053483e-02 4.693346354149e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.604814932957e-03 3.029851481509e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.539118884571e-02 5.419409561936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.713797750438e-02 1.307669683062e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.874314527237e-03 2.772634126602e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.941829082781e-03 6.837397165589e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.431599702617e-02 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.193392310210e-02 7.723179397114e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.412888190918e-03 4.974937185533e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.724588716342e-02 1.663580475961e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.988008484848e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.272009696970e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.840012121212e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.28937e-02 4.54000e+00 + 74 JET 2.450000000000e+00 2.025000000000e+05 7.000000000000e+03 1.691042000000e-02 1.943679600000e-03 5.918647000000e-04 3.500000000000e+00 5.073126000000e-04 3.000000000000e+00 1.809414940000e-04 1.070000000000e+00 1.691042000000e-04 1.000000000000e+00 2.367458800000e-05 1.400000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.470987854523e-03 8.698706800439e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.023150285382e-03 6.050413209030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.730846442197e-04 2.206241147291e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.023150285382e-03 6.050413209030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.716215650141e-03 1.606237840421e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.664947092762e-04 2.758622844827e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.211324356185e-04 1.307669683062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.454924758307e-03 1.451723114096e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.779615835843e-03 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.895824600183e-03 2.303801206702e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.029250400000e-04 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.469835200000e-04 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.382084000000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.691042000000e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.04845e-03 6.20000e+00 + 75 JET 2.450000000000e+00 3.025000000000e+05 7.000000000000e+03 3.188531000000e-04 2.914317334000e-04 1.115985850000e-05 3.500000000000e+00 1.275412400000e-05 4.000000000000e+00 -2.231971700000e-07 -7.000000000000e-02 3.188531000000e-06 1.000000000000e+00 5.101649600000e-07 1.600000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.652474400000e-06 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.799500304646e-06 2.132486811214e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.609033700000e-06 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.769529909481e-06 2.123087374556e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.321459482026e-05 1.355313616843e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.230064383767e-05 1.326649916142e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.665238114626e-05 8.358827668998e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.144017377398e-05 2.240535650241e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.507384100000e-06 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.550824800000e-05 8.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.782796500000e-06 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.188531000000e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.04170e-05 9.53950e+00 + 76 JET 3.200000000000e+00 6.250000000000e+02 7.000000000000e+03 2.070261290323e+06 1.614803806452e+04 7.245914516129e+04 3.500000000000e+00 2.226087408949e+05 1.075268817204e+01 7.929100741935e+04 3.830000000000e+00 2.070261290323e+04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.090861412531e+05 1.009950493836e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.594370035981e+05 7.701298591796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.990898284213e+05 9.616652224137e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.238817759690e+05 1.564448784716e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.286219198135e+04 4.002499219238e+00 0.000000000000e+00 0.000000000000e+00 7.010670182555e+05 3.386369737639e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.832780016449e+04 1.851350858157e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.602801340713e+04 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.016338502137e+04 4.355169342287e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.488145148521e+04 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140522580645e+03 2.000000000000e-01 1.242156774194e+04 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.898365806452e+05 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 6.210783870968e+03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140522580645e+04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.94663e+04 4.32150e+00 + 77 JET 3.200000000000e+00 1.406250000000e+03 7.000000000000e+03 2.893541489362e+05 4.832214287234e+03 1.012739521277e+04 3.500000000000e+00 2.462588501584e+04 8.510638297872e+00 7.725755776596e+03 2.670000000000e+00 2.893541489362e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.432449168239e+04 4.950505024742e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.333857086094e+04 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.996962937467e+04 6.901449123191e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.795938272969e+04 9.662685961988e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.092128627681e+03 2.451020195755e+00 0.000000000000e+00 0.000000000000e+00 1.033099673386e+05 3.570364127088e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.670614217209e+03 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.013565910252e+04 3.502855977627e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.433617680042e+04 4.954543369474e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.000157125828e+04 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.893541489362e+02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.604187340426e+03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.880801968085e+04 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.893541489362e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.66443e+03 3.34000e+00 + 78 JET 3.200000000000e+00 2.756250000000e+03 7.000000000000e+03 4.557342105263e+04 1.681659236842e+03 1.595069736842e+03 3.500000000000e+00 2.878321329640e+03 6.315789473684e+00 8.112068947368e+02 1.780000000000e+00 4.557342105263e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.592095500740e+02 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.912618206393e+03 8.585307216402e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.155116104673e+03 6.923149572268e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.266298306464e+03 7.167112389240e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.031704664428e+02 1.981792118261e+00 0.000000000000e+00 0.000000000000e+00 1.123733739600e+04 2.465765601188e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.625860139471e+03 3.567562192871e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.929882685020e+02 2.178875856950e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.312486277777e+03 5.074199444247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.184032211068e+02 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.578709614758e+02 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.327900321473e+03 2.913760456867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.879040287207e+02 4.123105625618e-01 0.000000000000e+00 0.000000000000e+00 1.367202631579e+02 3.000000000000e-01 9.114684210526e+01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.570418421053e+02 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.557342105263e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.19858e+03 2.63000e+00 + 79 JET 3.200000000000e+00 4.900000000000e+03 7.000000000000e+03 9.094019791667e+03 1.536889344792e+02 3.182906927083e+02 3.500000000000e+00 4.736468641493e+02 5.208333333333e+00 3.046496630208e+02 3.350000000000e+00 9.094019791667e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.365813854167e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.307736946145e+02 6.936137253544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.875912869589e+02 5.361669516112e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.683331201135e+02 7.349149610669e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.273504947917e+02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 1.477603320800e+03 1.624807680927e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.052598443303e+02 3.356709698499e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.501890515356e+02 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.523989221139e+02 4.974685919734e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.637607916667e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.967004952171e+01 8.760707733968e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.865382754420e+02 2.051219149677e+00 0.000000000000e+00 0.000000000000e+00 2.728205937500e+01 3.000000000000e-01 2.728205937500e+01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.545983364583e+02 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.094019791667e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.09435e+02 2.30300e+00 + 80 JET 3.200000000000e+00 9.025000000000e+03 7.000000000000e+03 1.375770103093e+03 4.691376051546e+01 4.815195360825e+01 3.500000000000e+00 5.673278775640e+01 4.123711340206e+00 5.736961329897e+01 4.170000000000e+00 1.375770103093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.629014276389e+00 5.545268253205e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.089641188703e+02 7.920227269466e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.040663962455e+01 5.117616632770e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.135385483082e+02 8.252726822087e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.253386214440e+01 9.110433579144e-01 0.000000000000e+00 0.000000000000e+00 1.788501134021e+02 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.931229109503e+01 3.584340943605e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.830343076179e+01 1.330413469565e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.542530264374e+01 6.936137253544e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.100021920694e+01 1.526433752247e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.266931072200e+00 4.555216789572e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.589214778147e+01 5.516339365920e+00 0.000000000000e+00 0.000000000000e+00 2.751540206186e+00 2.000000000000e-01 9.630390721649e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.026694226804e+01 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375770103093e+00 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.375770103093e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.08053e+01 2.96600e+00 + 81 JET 3.200000000000e+00 1.822500000000e+04 7.000000000000e+03 1.218239175258e+02 1.876088329897e+00 4.263837113402e+00 3.500000000000e+00 3.767750026570e+00 3.092783505155e+00 2.948138804124e+00 2.420000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.650076912315e+00 7.921331958705e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.130055574260e+00 5.031898250164e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.640700041850e+00 7.092778017110e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.583710927835e+00 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.646877339865e+01 1.351850583460e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.034928793525e+00 3.312099032336e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.177311945855e+00 7.533259586660e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.874502389315e+00 2.359555042799e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.436478350515e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.529363986128e+00 7.822243923581e+00 0.000000000000e+00 0.000000000000e+00 2.436478350515e-01 2.000000000000e-01 2.436478350515e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.629308865979e+00 3.800000000000e+00 0.000000000000e+00 0.000000000000e+00 3.654717525773e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.218239175258e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.87783e+00 4.00400e+00 + 82 JET 3.200000000000e+00 3.422500000000e+04 7.000000000000e+03 5.789958163265e+00 2.269653205102e-01 2.026485357143e-01 3.500000000000e+00 1.772436172428e-01 3.061224489796e+00 1.511179080612e-01 2.610000000000e+00 5.789958163265e-02 1.000000000000e+00 9.842928877551e-03 1.700000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.090802400180e-01 8.792468367870e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.170377889135e-01 7.202777242148e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.421374238028e-01 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.924453539563e-01 3.323777970924e+00 0.000000000000e+00 0.000000000000e+00 1.169514221256e+00 2.019900987672e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.256412885307e-01 3.897114317030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.064478540661e-02 1.392838827718e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.996033067192e-01 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.740919962495e-01 4.733920151418e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.898364735695e-02 3.278719262151e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.484807856148e-01 1.465435088975e+01 0.000000000000e+00 0.000000000000e+00 5.789958163265e-02 1.000000000000e+00 2.894979081633e-02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.531874479592e-01 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.315983265306e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.789958163265e-02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.71628e-01 6.41850e+00 + 83 JET 3.200000000000e+00 5.522500000000e+04 7.000000000000e+03 3.004125510204e-01 2.457364272449e-02 1.051443928571e-02 3.500000000000e+00 1.226173677634e-02 4.081632653061e+00 8.922252765306e-03 2.970000000000e+00 3.004125510204e-03 1.000000000000e+00 5.707838469388e-04 1.900000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.539285845206e-02 8.452662302494e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.093155573554e-02 6.967603605258e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.961356709217e-02 1.651514456491e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.315227282749e-02 4.378070351194e+00 0.000000000000e+00 0.000000000000e+00 7.510313775510e-02 2.500000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.038380664995e-02 3.456515586541e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.207572386983e-03 7.348469228350e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.205775714286e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.346681636580e-02 7.811529939775e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.261509500481e-02 1.751427988814e+01 0.000000000000e+00 0.000000000000e+00 3.304538061224e-03 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.905363163265e-02 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 9.012376530612e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.004125510204e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.00863e-02 1.00150e+01 + 84 JET 3.200000000000e+00 8.122500000000e+04 7.000000000000e+03 9.435837373737e-03 3.708273797980e-03 3.302543080808e-04 3.500000000000e+00 3.812459544944e-04 4.040404040404e+00 6.388061902020e-04 6.770000000000e+00 9.435837373737e-05 1.000000000000e+00 1.981525848485e-05 2.100000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.049988602831e-03 2.172556098240e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.581030797120e-03 1.675559608012e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.368937526823e-03 3.570364127088e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.737321908395e-03 1.841195263952e+01 0.000000000000e+00 0.000000000000e+00 4.287599233625e-03 4.543952024395e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.132300484848e-03 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.507164314962e-04 2.657066051117e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.184507743573e-03 3.374907406137e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.270490709084e-03 2.406241883103e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.752209097657e-04 2.916761903207e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.341405748892e-03 3.541186241925e+01 0.000000000000e+00 0.000000000000e+00 6.605086161616e-05 7.000000000000e-01 9.435837373737e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.284068929293e-04 5.600000000000e+00 0.000000000000e+00 0.000000000000e+00 1.509733979798e-04 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.435837373737e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.52389e-03 1.61500e+01 + 85 JET 4.000000000000e+00 6.250000000000e+02 7.000000000000e+03 9.270170000000e+05 9.640976800000e+03 3.244559500000e+04 3.500000000000e+00 1.030018888889e+05 1.111111111111e+01 4.347709730000e+04 4.690000000000e+00 9.270170000000e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.028111588056e+05 1.109053650641e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.111663607676e+04 8.750285709621e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.755725365164e+04 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.106198676693e+04 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.266292978378e+04 4.602173399602e+00 5.534221613906e+05 5.969924622640e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.086818014689e+04 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364862276231e+04 4.708502946797e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.685564303367e+04 5.054453481832e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.920839185117e+04 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.781051000000e+03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.390525500000e+05 1.500000000000e+01 9.270170000000e+03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.854034000000e+04 2.000000000000e+00 3.14166e+04 3.38900e+00 + 86 JET 4.000000000000e+00 1.406250000000e+03 7.000000000000e+03 9.672052747253e+04 1.092930765934e+03 3.385218461538e+03 3.500000000000e+00 8.502903514068e+03 8.791208791209e+00 7.718298092308e+03 7.980000000000e+00 9.672052747253e+02 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.029467428571e+03 5.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.168678580041e+04 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.318076063609e+03 7.566207768757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.035731606207e+03 2.104756517985e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.337357160082e+03 2.416609194719e+00 6.695932149280e+04 6.922969016253e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.757383328120e+03 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.337558997599e+03 3.450724561596e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.175000165125e+03 5.350467269314e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.434259788204e+03 3.550704155516e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.770436923077e+02 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.255703208791e+03 4.400000000000e+00 4.836026373626e+02 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.672052747253e+02 1.000000000000e+00 3.90896e+03 4.04150e+00 + 87 JET 4.000000000000e+00 2.756250000000e+03 7.000000000000e+03 9.884748351648e+03 1.927525928571e+02 3.459661923077e+02 3.500000000000e+00 7.603652578191e+02 7.692307692308e+00 5.308109864835e+02 5.370000000000e+00 9.884748351648e+01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.430824225908e+02 2.459166525472e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.460871265176e+02 9.571180700415e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.017621695916e+02 8.111103500757e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.784737781636e+02 1.805547008527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.430824225908e+02 2.459166525472e+00 4.988616167710e+03 5.046781152378e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.008810847958e+02 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.529317628757e+02 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.858746300734e+02 5.927056605095e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.421258969736e+01 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.424177273018e+01 3.464101615138e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.312128283444e+02 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.093368115473e+01 6.164414002969e-01 1.976949670330e+01 2.000000000000e-01 6.919323846154e+01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.884748351648e+01 1.000000000000e+00 3.953899340659e+01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.884748351648e+01 1.000000000000e+00 3.71568e+02 3.75900e+00 + 88 JET 4.000000000000e+00 4.900000000000e+03 7.000000000000e+03 1.018700000000e+03 2.831875271739e+01 3.565450000000e+01 3.500000000000e+00 6.643695652174e+01 6.521739130435e+00 5.500980000000e+01 5.400000000000e+00 1.018700000000e+01 1.000000000000e+00 2.037400000000e-01 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.168300000000e+00 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.072057732436e+02 1.052378258992e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.819112477527e+01 8.657222418305e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.533984255451e+01 2.487468592767e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.494995713491e+01 4.412482294582e+00 3.668734588288e+02 3.601388621074e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.240732798775e+01 6.126173356999e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.315082083011e+01 3.254228019055e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.567987690853e+01 8.410707461326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.610396579226e+00 9.433981132057e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.173717476003e+01 1.152171862180e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.462266484296e+01 4.380353866984e+00 0.000000000000e+00 0.000000000000e+00 1.833660000000e+01 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.139270000000e+01 2.100000000000e+00 4.074800000000e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.018700000000e+01 1.000000000000e+00 7.66572e+01 7.52500e+00 + 89 JET 4.000000000000e+00 9.025000000000e+03 7.000000000000e+03 5.957180434783e+01 2.347118018478e+00 2.085013152174e+00 3.500000000000e+00 3.885117674858e+00 6.521739130435e+00 3.967482169565e+00 6.660000000000e+00 5.957180434783e-01 1.000000000000e+00 1.191436086957e-02 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.574308260870e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.744334565217e+00 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.414811589782e+00 9.089554444526e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.086675277084e+00 1.824143634695e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.491676077616e+00 2.503996805110e+00 1.643361403815e+01 2.758622844827e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.020434830054e+00 6.748888797424e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.742920735865e+00 2.925747767666e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.863695674887e+00 1.152171862180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.012037140665e+00 3.377499074759e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.574308260870e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.040225517063e+00 1.013940333550e+01 5.957180434783e-01 1.000000000000e+00 1.191436086957e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.991310891304e+00 6.700000000000e+00 4.170026304348e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.957180434783e-01 1.000000000000e+00 6.31759e+00 1.06050e+01 + 90 JET 4.000000000000e+00 1.822500000000e+04 7.000000000000e+03 6.001471739130e-01 9.411902173913e-02 2.100515108696e-02 3.500000000000e+00 3.261669423440e-02 5.434782608696e+00 5.125256865217e-02 8.540000000000e+00 6.001471739130e-03 1.000000000000e+00 1.200294347826e-04 2.000000000000e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.639791005608e-02 1.606237840421e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.251605893314e-02 1.208304597359e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.542681783478e-01 2.570505786805e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.395475509806e-02 5.657738063926e+00 1.617894823872e-01 2.695830113342e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.401991354253e-02 9.001111042532e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.895671244234e-02 4.824935232726e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.311955957701e-02 1.551612064918e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.431651070620e-02 7.384273830242e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.800441521739e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.911517337398e-02 1.651514456491e+01 7.801913260870e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.660897760870e-02 6.100000000000e+00 3.000735869565e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.001471739130e-03 1.000000000000e+00 5.32781e-02 8.87750e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat b/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat index 3ccd0ef98a..6d72c6c78a 100644 --- a/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_CDFR2KT_SF.dat @@ -1,77 +1,77 @@ -CDFR2KT 25 76 - 1 JET 5.000000000000e-02 3.364000000000e+03 1.960000000000e+03 1.233177570093e+01 4.248088360238e-01 7.145284621920e-01 5.800000000000e+00 1.093032151633e+00 8.872405810151e+00 4.575483425440e-01 3.714030339133e+00 1.839876932981e-01 1.493472517323e+00 1.634101223371e-01 1.326439406833e+00 2.240482034430e-01 1.818653347947e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.576887876702e-01 2.903446228192e+00 1.010195412065e+00 8.200000000000e+00 1.847918436703e-01 1.500000000000e+00 2.157664047392e-01 1.751427988814e+00 1.297886639203e+00 1.053525913339e+01 - 2 JET 5.000000000000e-02 4.489000000000e+03 1.960000000000e+03 5.839160839161e+00 6.993006993007e-02 3.386713286713e-01 5.800000000000e+00 5.085990844873e-01 8.710140009782e+00 1.984776915072e-01 3.399079028207e+00 9.078098958143e-02 1.554692396424e+00 1.076967019258e-01 1.844386631783e+00 1.121666168865e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.695368951427e-01 2.903446228192e+00 4.145804195804e-01 7.100000000000e+00 8.174825174825e-02 1.400000000000e+00 9.060112407040e-02 1.551612064918e+00 4.951036725512e-01 8.479020979021e+00 - 3 JET 5.000000000000e-02 6.006250000000e+03 1.960000000000e+03 2.564789991063e+00 4.468275245755e-02 1.487578194817e-01 5.800000000000e+00 2.190701588549e-01 8.541446263368e+00 7.773457249691e-02 3.030835770872e+00 4.142594772562e-02 1.615178937456e+00 5.994578317943e-02 2.337258933024e+00 5.142387942095e-02 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.568303712365e-02 2.950847335936e+00 1.590169794459e-01 6.200000000000e+00 3.334226988382e-02 1.300000000000e+00 3.467212845870e-02 1.351850583460e+00 1.764868894655e-01 6.881143878463e+00 - 4 JET 5.000000000000e-02 8.010250000000e+03 1.960000000000e+03 1.129326047359e+00 1.821493624772e-02 6.550091074681e-02 5.800000000000e+00 9.519807476922e-02 8.429635975533e+00 3.073659813177e-02 2.721676189410e+00 1.846330373887e-02 1.634895766555e+00 3.212401401966e-02 2.844529628515e+00 2.429363816733e-02 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.275045537341e-02 2.900000000000e+00 6.098360655738e-02 5.400000000000e+00 1.242258652095e-02 1.100000000000e+00 1.364569854941e-02 1.208304597359e+00 6.274033596438e-02 5.555555555556e+00 - 5 JET 5.000000000000e-02 1.060900000000e+04 1.960000000000e+03 4.905498614958e-01 1.015697137581e-02 2.843767313019e-02 5.800000000000e+00 4.120633723851e-02 8.404230363335e+00 1.217459963865e-02 2.483068061894e+00 7.913489765123e-03 1.613994240231e+00 1.676348719476e-02 3.418993715993e+00 1.103730244130e-02 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.421883656510e-02 2.900000000000e+00 2.304432132964e-02 4.700000000000e+00 4.903047091413e-03 1.000000000000e+00 5.159860161819e-03 1.052378258992e+00 2.218368490113e-02 4.524469067405e+00 - 6 JET 5.000000000000e-02 1.404225000000e+04 1.960000000000e+03 2.181925233645e-01 5.607476635514e-03 1.262990654206e-02 5.800000000000e+00 1.843792149533e-02 8.467200000000e+00 4.844222429907e-03 2.224600000000e+00 3.499790654206e-03 1.607200000000e+00 8.941538317757e-03 4.106200000000e+00 5.235233570617e-03 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.425676909094e-03 2.950847335936e+00 9.145794392523e-03 4.200000000000e+00 1.959813084112e-03 9.000000000000e-01 2.074414121401e-03 9.526279441629e-01 7.936937723819e-03 3.644859813084e+00 - 7 JET 5.000000000000e-02 1.863225000000e+04 1.960000000000e+03 8.865509433962e-02 1.132075471698e-03 5.121509433962e-03 5.800000000000e+00 7.667887198036e-03 8.683718408032e+00 1.819190319819e-03 2.060194165607e+00 1.373488691463e-03 1.555446595033e+00 4.338768912768e-03 4.913563084972e+00 2.259476022770e-03 2.558808316385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.651998366594e-03 3.003331483536e+00 3.267169811321e-03 3.700000000000e+00 7.064150943396e-04 8.000000000000e-01 7.531586742567e-04 8.529361054616e-01 2.665717337131e-03 3.018867924528e+00 - 8 JET 5.000000000000e-02 2.480625000000e+04 1.960000000000e+03 3.462647338403e-02 5.703422053232e-04 2.001330798479e-03 5.800000000000e+00 3.117240057920e-03 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4.513601010280e+00 1.854501284658e-07 3.247830292180e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.624247779680e-08 9.849873095629e+00 1.046919496121e-07 1.833493932360e+01 0.000000000000e+00 0.000000000000e+00 2.378221267284e-08 4.165033013074e+00 2.169788519637e-08 3.800000000000e+00 2.112688821752e-08 3.700000000000e+00 7.719025990147e-09 1.351850583460e+00 1.035039840819e-08 1.812688821752e+00 +CDFR2KT 26 76 + 1 JET 5.000000000000e-02 3.364000000000e+03 1.960000000000e+03 1.233177570093e+01 4.248088360238e-01 7.145284621920e-01 5.800000000000e+00 1.093032151633e+00 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6.993006993007e-02 3.386713286713e-01 5.800000000000e+00 5.085990844873e-01 8.710140009782e+00 1.984776915072e-01 3.399079028207e+00 9.078098958143e-02 1.554692396424e+00 1.076967019258e-01 1.844386631783e+00 1.121666168865e-01 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.695368951427e-01 2.903446228192e+00 4.145804195804e-01 7.100000000000e+00 8.174825174825e-02 1.400000000000e+00 9.060112407040e-02 1.551612064918e+00 4.951036725512e-01 8.479020979021e+00 4.72705e-01 8.09542e+00 + 3 JET 5.000000000000e-02 6.006250000000e+03 1.960000000000e+03 2.564789991063e+00 4.468275245755e-02 1.487578194817e-01 5.800000000000e+00 2.190701588549e-01 8.541446263368e+00 7.773457249691e-02 3.030835770872e+00 4.142594772562e-02 1.615178937456e+00 5.994578317943e-02 2.337258933024e+00 5.142387942095e-02 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.568303712365e-02 2.950847335936e+00 1.590169794459e-01 6.200000000000e+00 3.334226988382e-02 1.300000000000e+00 3.467212845870e-02 1.351850583460e+00 1.764868894655e-01 6.881143878463e+00 2.09192e-01 8.15629e+00 + 4 JET 5.000000000000e-02 8.010250000000e+03 1.960000000000e+03 1.129326047359e+00 1.821493624772e-02 6.550091074681e-02 5.800000000000e+00 9.519807476922e-02 8.429635975533e+00 3.073659813177e-02 2.721676189410e+00 1.846330373887e-02 1.634895766555e+00 3.212401401966e-02 2.844529628515e+00 2.429363816733e-02 2.151162476430e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.275045537341e-02 2.900000000000e+00 6.098360655738e-02 5.400000000000e+00 1.242258652095e-02 1.100000000000e+00 1.364569854941e-02 1.208304597359e+00 6.274033596438e-02 5.555555555556e+00 9.39980e-02 8.32337e+00 + 5 JET 5.000000000000e-02 1.060900000000e+04 1.960000000000e+03 4.905498614958e-01 1.015697137581e-02 2.843767313019e-02 5.800000000000e+00 4.120633723851e-02 8.404230363335e+00 1.217459963865e-02 2.483068061894e+00 7.913489765123e-03 1.613994240231e+00 1.676348719476e-02 3.418993715993e+00 1.103730244130e-02 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.421883656510e-02 2.900000000000e+00 2.304432132964e-02 4.700000000000e+00 4.903047091413e-03 1.000000000000e+00 5.159860161819e-03 1.052378258992e+00 2.218368490113e-02 4.524469067405e+00 4.13845e-02 8.43635e+00 + 6 JET 5.000000000000e-02 1.404225000000e+04 1.960000000000e+03 2.181925233645e-01 5.607476635514e-03 1.262990654206e-02 5.800000000000e+00 1.843792149533e-02 8.467200000000e+00 4.844222429907e-03 2.224600000000e+00 3.499790654206e-03 1.607200000000e+00 8.941538317757e-03 4.106200000000e+00 5.235233570617e-03 2.404163056034e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.195427667303e-04 3.157134776977e+00 3.720841300191e-04 2.800000000000e+00 6.644359464627e-05 5.000000000000e-01 9.302103250478e-05 7.000000000000e-01 2.667907242011e-04 2.007648183556e+00 1.20211e-03 8.98769e+00 + 10 JET 5.000000000000e-02 4.389025000000e+04 1.960000000000e+03 5.047002881844e-03 5.763688760807e-05 2.908357348703e-04 5.800000000000e+00 5.203537004278e-04 1.037716862347e+01 8.381986153798e-05 1.671579997338e+00 7.711427261494e-05 1.537853597551e+00 4.070292476284e-04 8.117192467073e+00 1.479675609374e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.656273864147e-04 3.303028912983e+00 1.253602305476e-04 2.500000000000e+00 2.005763688761e-05 4.000000000000e-01 3.278595458974e-05 6.538348415311e-01 8.188756654403e-05 1.633045148895e+00 4.60994e-04 9.13402e+00 + 11 JET 5.000000000000e-02 5.832225000000e+04 1.960000000000e+03 1.739079074253e-03 2.892960462874e-05 1.001157184185e-04 5.800000000000e+00 1.950111810887e-04 1.129757512788e+01 2.756432810633e-05 1.596883142249e+00 2.653388593413e-05 1.537186576184e+00 1.638403053797e-04 9.491754004398e+00 5.351012536162e-05 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.138702951732e-05 3.556332380417e+00 3.797492767599e-05 2.200000000000e+00 5.178399228544e-06 3.000000000000e-01 1.035679845709e-05 6.000000000000e-01 2.163908388655e-05 1.253616200579e+00 1.63885e-04 9.42366e+00 + 12 JET 5.000000000000e-02 7.756225000000e+04 1.960000000000e+03 5.774003868472e-04 1.063829787234e-05 3.320696324952e-05 5.800000000000e+00 7.049384386725e-05 1.231260718898e+01 8.692330341354e-06 1.518221211649e+00 8.787850454995e-06 1.534904961227e+00 6.323431523051e-05 1.104464222100e+01 1.918415611071e-05 3.350746185553e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.181646974640e-05 3.810511776652e+00 1.145067698259e-05 2.000000000000e+00 2.290135396518e-06 4.000000000000e-01 3.174853777463e-06 5.545268253205e-01 5.537077844580e-06 9.671179883946e-01 5.57801e-05 9.66056e+00 + 13 JET 5.000000000000e-02 1.030410000000e+05 1.960000000000e+03 1.743779069767e-04 5.813953488372e-06 1.000387596899e-05 5.800000000000e+00 2.301834010579e-05 1.334546460066e+01 2.490194907423e-06 1.443753451944e+00 2.617897210367e-06 1.517792090505e+00 2.180516822782e-05 1.264209753433e+01 6.296723898946e-06 3.650684867254e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.167290994875e-06 4.155418149838e+00 3.104651162791e-06 1.800000000000e+00 1.034883720930e-06 6.000000000000e-01 9.564513072388e-07 5.545268253205e-01 1.169926687098e-06 6.782945736434e-01 1.74260e-05 9.99324e+00 + 14 JET 5.000000000000e-02 1.369000000000e+05 1.960000000000e+03 4.616388349515e-05 2.718446601942e-06 2.635339805825e-06 5.800000000000e+00 6.633695245483e-06 1.459979936506e+01 6.398457825431e-07 1.408207598332e+00 6.868932665536e-07 1.511752274680e+00 6.605466755077e-06 1.453767255925e+01 1.817475728155e-06 4.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.115012950626e-06 4.654836194755e+00 7.269902912621e-07 1.600000000000e+00 4.543689320388e-07 1.000000000000e+00 2.069748987883e-07 4.555216789572e-01 2.205674427373e-07 4.854368932039e-01 4.81309e-06 1.04261e+01 + 15 JET 5.000000000000e-02 1.819022500000e+05 1.960000000000e+03 1.283098249027e-05 1.167315175097e-06 7.278210116732e-07 5.800000000000e+00 2.069057956107e-06 1.648830681301e+01 1.734181523905e-07 1.381967912073e+00 1.913579612585e-07 1.524930109874e+00 2.143807159724e-06 1.708398263718e+01 5.649675057585e-07 4.502221673796e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.593410813919e-07 5.254283966441e+00 1.756809338521e-07 1.400000000000e+00 2.258754863813e-07 1.800000000000e+00 5.716176710650e-08 4.555216789572e-01 2.441369286439e-08 1.945525291829e-01 1.40289e-06 1.09336e+01 + 16 JET 5.000000000000e-02 2.420640000000e+05 1.960000000000e+03 2.467594936709e-06 4.868549172347e-07 1.394936708861e-07 5.800000000000e+00 4.745434615514e-07 1.973101761187e+01 3.489290158466e-08 1.450810118520e+00 3.977790780651e-08 1.653923535113e+00 5.087385051043e-07 2.115281152802e+01 1.251095338072e-07 5.201922721456e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.443438762908e-07 6.001666435249e+00 3.126582278481e-08 1.300000000000e+00 7.455696202532e-08 3.100000000000e+00 1.020381937408e-08 4.242640687119e-01 2.341833779103e-09 9.737098344693e-02 2.85817e-07 1.15828e+01 + 17 JET 5.000000000000e-02 3.763822500000e+05 1.960000000000e+03 2.193318713450e-07 9.259259259259e-08 1.204093567251e-08 5.800000000000e+00 5.415936043715e-08 2.608802995705e+01 3.405229249043e-09 1.640265356581e+00 4.053844344098e-09 1.952696853073e+00 6.015905006642e-08 2.897802129960e+01 1.455883100412e-08 7.012845356915e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.525947804389e-08 7.350340128185e+00 2.283625730994e-09 1.100000000000e+00 1.473976608187e-08 7.100000000000e+00 8.807821309517e-10 4.242640687119e-01 1.214048767142e-09 5.847953216374e-01 2.87851e-08 1.31240e+01 + 18 JET 4.000000000000e-01 3.364000000000e+03 1.960000000000e+03 1.177272727273e+01 1.683501683502e-01 6.835016835017e-01 5.800000000000e+00 1.005641787859e+00 8.533588885545e+00 4.209663298014e-01 3.572199998600e+00 1.692774659519e-01 1.436440211077e+00 1.503451177862e-01 1.275785713786e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.780620420807e-01 2.359555042799e+00 6.245791245791e-01 5.300000000000e+00 7.070707070707e-02 6.000000000000e-01 1.885521885522e-01 1.600000000000e+00 1.388747179993e+00 1.178451178451e+01 9.31769e-01 7.91464e+00 + 19 JET 4.000000000000e-01 4.489000000000e+03 1.960000000000e+03 5.314074394464e+00 1.038062283737e-01 3.080622837370e-01 5.800000000000e+00 4.432747380717e-01 8.345693765649e+00 1.729852636377e-01 3.256856103668e+00 7.912110069794e-02 1.489641570144e+00 9.386416293979e-02 1.767214533524e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.200368871854e-01 2.259977875998e+00 2.496366782007e-01 4.700000000000e+00 3.186851211073e-02 6.000000000000e-01 7.710709273831e-02 1.451723114096e+00 5.191957711234e-01 9.775086505190e+00 4.28876e-01 8.07056e+00 + 20 JET 4.000000000000e-01 6.006250000000e+03 1.960000000000e+03 2.385022143490e+00 1.771479185120e-02 1.381930912312e-01 5.800000000000e+00 1.961386080592e-01 8.231988420030e+00 6.959757060164e-02 2.921028149043e+00 3.708961442721e-02 1.556660769082e+00 5.367085381819e-02 2.252579701143e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.384712565487e-02 2.259977875998e+00 9.768821966342e-02 4.100000000000e+00 1.191319751993e-02 5.000000000000e-01 3.097431355182e-02 1.300000000000e+00 1.920462310564e-01 8.060230292294e+00 1.95961e-01 8.21633e+00 + 21 JET 4.000000000000e-01 8.010250000000e+03 1.960000000000e+03 1.030424187726e+00 9.025270758123e-03 5.967509025271e-02 5.800000000000e+00 8.403786381739e-02 8.167890623656e+00 2.713330132221e-02 2.637166479387e+00 1.629882336369e-02 1.584131253243e+00 2.835806839578e-02 2.756205244081e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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5.800000000000e+00 6.881364491844e-03 8.611813376984e+00 1.632589440532e-03 2.043134846260e+00 1.232605027602e-03 1.542566808926e+00 3.893725815669e-03 4.872876608329e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.602112389207e-03 2.004993765576e+00 2.157464788732e-03 2.700000000000e+00 3.995305164319e-04 5.000000000000e-01 6.815480053970e-04 8.529361054616e-01 2.851109788622e-03 3.568075117371e+00 7.00056e-03 8.73043e+00 + 25 JET 4.000000000000e-01 2.480625000000e+04 1.960000000000e+03 3.167445497630e-02 1.895734597156e-04 1.830710900474e-03 5.800000000000e+00 2.854309952371e-03 9.042933933188e+00 5.979796733348e-04 1.894500166271e+00 4.902042670942e-04 1.553049554908e+00 1.828705280082e-03 5.793645857316e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.159021638163e-04 1.951281630109e+00 7.575355450237e-04 2.400000000000e+00 1.262559241706e-04 4.000000000000e-01 2.525118483412e-04 8.000000000000e-01 8.676354978549e-04 2.748815165877e+00 2.80872e-03 8.86745e+00 + 26 JET 4.000000000000e-01 3.312400000000e+04 1.960000000000e+03 1.179484240688e-02 9.551098376313e-05 6.813753581662e-04 5.800000000000e+00 1.140597783687e-03 9.708990890407e+00 2.086807975166e-04 1.776331666666e+00 1.815237074288e-04 1.545165216894e+00 8.147127026334e-04 6.934993493148e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.409741694462e-04 2.051219149677e+00 2.584527220630e-04 2.200000000000e+00 4.699140401146e-05 4.000000000000e-01 8.223495702006e-05 7.000000000000e-01 2.580712254689e-04 2.196752626552e+00 1.06191e-03 9.00314e+00 + 27 JET 4.000000000000e-01 4.389025000000e+04 1.960000000000e+03 4.373342939481e-03 1.921229586936e-05 2.523919308357e-04 5.800000000000e+00 4.598691979401e-04 1.056785507849e+01 7.407686822489e-05 1.702296243314e+00 6.815071876690e-05 1.566112543849e+00 3.597172721001e-04 8.266350557531e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.138328530259e-05 2.100000000000e+00 8.703170028818e-05 2.000000000000e+00 1.740634005764e-05 4.000000000000e-01 3.046109510086e-05 7.000000000000e-01 7.106334797786e-05 1.633045148895e+00 3.99359e-04 9.13167e+00 + 28 JET 4.000000000000e-01 5.832225000000e+04 1.960000000000e+03 1.523778957529e-03 9.652509652510e-06 8.789575289575e-05 5.800000000000e+00 1.769354037488e-04 1.167548269323e+01 2.500936354177e-05 1.650299403139e+00 2.407443406358e-05 1.588605967507e+00 1.486537870333e-04 9.809256265385e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.817902116405e-07 2.480239707629e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.851677845504e-08 5.150485414017e+00 1.476983349657e-08 1.300000000000e+00 1.590597453477e-08 1.400000000000e+00 5.175368732521e-09 4.555216789572e-01 8.902182473636e-09 7.835455435847e-01 1.34356e-07 1.13599e+01 + 34 JET 4.000000000000e-01 3.763822500000e+05 1.960000000000e+03 9.357701375246e-08 2.357563850688e-08 5.110609037328e-09 5.800000000000e+00 2.759985698368e-08 3.132291461470e+01 1.735320349273e-09 1.969404811104e+00 2.065857558659e-09 2.344529537029e+00 3.065732617050e-08 3.479281832951e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.432318271120e-09 7.300000000000e+00 1.057367387033e-09 1.200000000000e+00 3.172102161100e-09 3.600000000000e+00 4.013781395134e-10 4.555216789572e-01 1.211783187497e-09 1.375245579568e+00 1.21007e-08 1.29313e+01 + 35 JET 9.000000000000e-01 3.364000000000e+03 1.960000000000e+03 1.049024807528e+01 1.710863986313e-01 6.102651839179e-01 5.800000000000e+00 9.085822938775e-01 8.635225215795e+00 3.803367741813e-01 3.614745439170e+00 1.529396552263e-01 1.453548430566e+00 1.358345622076e-01 1.290980513989e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.319576685424e-01 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.106204285772e-01 3.902563260218e+00 6.628742514970e-01 6.300000000000e+00 2.104362703165e-01 2.000000000000e+00 1.737692712989e-01 1.651514456491e+00 1.125086988433e+00 1.069289991446e+01 8.45827e-01 8.06298e+00 + 36 JET 9.000000000000e-01 4.489000000000e+03 1.960000000000e+03 4.794400699913e+00 1.224846894138e-01 2.780752405949e-01 5.800000000000e+00 4.000325101979e-01 8.343743780222e+00 1.561102478821e-01 3.256095133745e+00 7.140269860517e-02 1.489293512878e+00 8.470754927694e-02 1.766801620867e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.079272737200e-01 2.251110836898e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.798219860774e-01 3.750666607418e+00 2.684864391951e-01 5.600000000000e+00 9.109361329834e-02 1.900000000000e+00 6.960142314300e-02 1.451723114096e+00 4.320413579099e-01 9.011373578303e+00 3.90049e-01 8.13551e+00 + 37 JET 9.000000000000e-01 6.006250000000e+03 1.960000000000e+03 2.147142857143e+00 1.785714285714e-02 1.242857142857e-01 5.800000000000e+00 1.753261682667e-01 8.181887852446e+00 6.221251132044e-02 2.903250528287e+00 3.315400289804e-02 1.547186801909e+00 4.797579242893e-02 2.238870313350e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.928571428571e-02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.720235800565e-02 3.602776706930e+00 1.050000000000e-01 4.900000000000e+00 3.857142857143e-02 1.800000000000e+00 2.785714285714e-02 1.300000000000e+00 1.626275510204e-01 7.589285714286e+00 1.77489e-01 8.26627e+00 + 38 JET 9.000000000000e-01 8.010250000000e+03 1.960000000000e+03 9.101633393829e-01 9.074410163339e-03 5.263157894737e-02 5.800000000000e+00 7.492763001254e-02 8.257024827382e+00 2.419188054217e-02 2.665945235747e+00 1.453192824234e-02 1.601418492306e+00 2.528387514997e-02 2.786283041527e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.087114337568e-02 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.131329003263e-02 3.450724561596e+00 3.992740471869e-02 4.400000000000e+00 1.633393829401e-02 1.800000000000e+00 1.088929219601e-02 1.200000000000e+00 5.764144386876e-02 6.352087114338e+00 7.66528e-02 8.42187e+00 + 39 JET 9.000000000000e-01 1.060900000000e+04 1.960000000000e+03 3.831209751610e-01 4.599816007360e-03 2.214351425943e-02 5.800000000000e+00 3.228465574864e-02 8.456245975609e+00 9.538648289372e-03 2.498436310975e+00 6.200121388092e-03 1.623983602134e+00 1.313398495229e-02 3.440154612804e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.162833486661e-03 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.279263723095e-02 3.350746185553e+00 1.488960441582e-02 3.900000000000e+00 6.490340386385e-03 1.700000000000e+00 4.199632014719e-03 1.100000000000e+00 2.001999036874e-02 5.243790248390e+00 3.26623e-02 8.52532e+00 + 40 JET 9.000000000000e-01 1.404225000000e+04 1.960000000000e+03 1.616544186047e-01 2.790697674419e-03 9.333953488372e-03 5.800000000000e+00 1.420425356931e-02 8.826342535841e+00 3.731904583603e-03 2.318958050505e+00 2.696177760841e-03 1.675370573933e+00 6.888405376782e-03 4.280367502914e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.023255813953e-03 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.231470336540e-03 3.250769139758e+00 5.632558139535e-03 3.500000000000e+00 2.735813953488e-03 1.700000000000e+00 1.609302325581e-03 1.000000000000e+00 7.036019469984e-03 4.372093023256e+00 1.39842e-02 8.65069e+00 + 41 JET 9.000000000000e-01 1.863225000000e+04 1.960000000000e+03 6.451268796992e-02 4.699248120301e-04 3.723120300752e-03 5.800000000000e+00 6.014407792475e-03 9.369443471733e+00 1.426905763339e-03 2.222881013460e+00 1.077313851321e-03 1.678275165162e+00 3.403170245564e-03 5.301571217102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.668984962406e-03 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.056140351355e-03 3.203123475609e+00 2.054135338346e-03 3.200000000000e+00 1.091259398496e-03 1.700000000000e+00 5.777255639098e-04 9.000000000000e-01 2.292561761547e-03 3.571428571429e+00 5.66685e-03 8.78409e+00 + 42 JET 9.000000000000e-01 2.480625000000e+04 1.960000000000e+03 2.399488636364e-02 2.840909090909e-04 1.384090909091e-03 5.800000000000e+00 2.383696627100e-03 9.988823961183e+00 4.993858950807e-04 2.092664703195e+00 4.093802977115e-04 1.715498390410e+00 1.527191748910e-03 6.399660662098e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.564669063024e-04 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.757517265331e-04 3.250769139758e+00 6.681818181818e-04 2.800000000000e+00 3.818181818182e-04 1.600000000000e+00 1.909090909091e-04 8.000000000000e-01 7.005423553719e-04 2.935606060606e+00 2.13744e-03 8.90789e+00 + 43 JET 9.000000000000e-01 3.312400000000e+04 1.960000000000e+03 8.595586832061e-03 5.725190839695e-05 4.953244274809e-04 5.800000000000e+00 9.249500884757e-04 1.083070047735e+01 1.692264572900e-04 1.981556728938e+00 1.472038361359e-04 1.723682908049e+00 6.606786346255e-04 7.736214626676e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.520046150441e-04 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.861562820678e-04 3.350746185553e+00 2.220419847328e-04 2.600000000000e+00 1.366412213740e-04 1.600000000000e+00 6.832061068702e-05 8.000000000000e-01 1.955742672338e-04 2.290076335878e+00 7.73616e-04 9.00015e+00 + 44 JET 9.000000000000e-01 4.389025000000e+04 1.960000000000e+03 2.940806142035e-03 1.919385796545e-05 1.692130518234e-04 5.800000000000e+00 3.458796329164e-04 1.185547952299e+01 5.571514705483e-05 1.909709974708e+00 5.125793529044e-05 1.756933176732e+00 2.705527540982e-04 9.273551637183e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.484009774341e-05 3.250769139758e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.051098002790e-04 3.602776706930e+00 6.710172744722e-05 2.300000000000e+00 4.959692898273e-05 1.700000000000e+00 2.042226487524e-05 7.000000000000e-01 5.319756411154e-05 1.823416506718e+00 2.67556e-04 9.09805e+00 + 45 JET 9.000000000000e-01 5.832225000000e+04 1.960000000000e+03 9.272131147541e-04 1.060752169720e-05 5.324590163934e-05 5.800000000000e+00 1.204833091406e-04 1.312407474567e+01 1.703000538711e-05 1.855054158239e+00 1.639336967171e-05 1.785706339239e+00 1.012250787496e-04 1.102630322093e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.399201575633e-05 3.702701716315e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.674425512743e-05 4.002499219238e+00 1.927868852459e-05 2.100000000000e+00 1.652459016393e-05 1.800000000000e+00 6.426229508197e-06 7.000000000000e-01 1.239388526171e-05 1.350048216008e+00 8.52835e-05 9.19783e+00 + 46 JET 9.000000000000e-01 7.756225000000e+04 1.960000000000e+03 2.477342691191e-04 4.840271055179e-06 1.420522749274e-05 5.800000000000e+00 3.640337045376e-05 1.486351054496e+01 4.488762481426e-06 1.832763495381e+00 4.538089541662e-06 1.852903753572e+00 3.265451387587e-05 1.333285092244e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.042196107034e-05 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.127153794869e-05 4.602173399602e+00 4.898354307841e-06 2.000000000000e+00 5.143272023233e-06 2.100000000000e+00 1.469506292352e-06 6.000000000000e-01 2.133842631683e-06 8.712487899322e-01 2.30153e-05 9.29032e+00 + 47 JET 9.000000000000e-01 1.030410000000e+05 1.960000000000e+03 6.090000000000e-05 1.650485436893e-06 3.480000000000e-06 5.800000000000e+00 1.038895452478e-05 1.731492420796e+01 1.123909088672e-06 1.873181814454e+00 1.181545452194e-06 1.969242420323e+00 9.841409071322e-06 1.640234845220e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.941224234906e-06 4.902040391510e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.272476126727e-06 5.454126877879e+00 1.080000000000e-06 1.800000000000e+00 1.440000000000e-06 2.400000000000e+00 3.600000000000e-07 6.000000000000e-01 2.912621359223e-07 4.854368932039e-01 5.80240e-06 9.52775e+00 + 48 JET 9.000000000000e-01 1.369000000000e+05 1.960000000000e+03 1.109459591042e-05 6.815968841285e-07 6.268743914314e-07 5.800000000000e+00 2.238733505980e-06 2.071332712289e+01 2.159345793002e-07 1.997881197669e+00 2.318121218958e-07 2.144784226910e+00 2.229206980422e-06 2.062518530535e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.218930867900e-07 5.753911712913e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.139945654159e-07 6.606057825965e+00 1.837390457644e-07 1.700000000000e+00 3.242453748783e-07 3.000000000000e+00 6.484907497566e-08 6.000000000000e-01 1.052403034334e-08 9.737098344693e-02 1.05123e-06 9.47515e+00 + 49 JET 9.000000000000e-01 1.819022500000e+05 1.960000000000e+03 1.578512195122e-06 1.951219512195e-07 8.657560975610e-08 5.800000000000e+00 3.809096341172e-07 2.551845588040e+01 3.192595199248e-08 2.138830117143e+00 3.522863668136e-08 2.360088405124e+00 3.946708203209e-07 2.644036541365e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.031896360470e-07 6.913031173082e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.195824430678e-07 8.011242100948e+00 2.388292682927e-08 1.600000000000e+00 5.672195121951e-08 3.800000000000e+00 7.463414634146e-09 5.000000000000e-01 4.368828078525e-09 2.926829268293e-01 1.53378e-07 9.71664e+00 + 50 JET 9.000000000000e-01 2.420640000000e+05 1.960000000000e+03 2.340757575758e-07 7.038123167155e-08 1.230303030303e-08 5.800000000000e+00 6.979198427640e-08 3.290193544459e+01 5.131763549736e-09 2.419259959161e+00 5.850210446699e-09 2.757956353444e+00 7.482111255514e-08 3.527281020457e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.961949214411e-08 9.249189153650e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.030250451603e-08 9.571180700415e+00 3.181818181818e-09 1.500000000000e+00 1.060606060606e-08 5.000000000000e+00 1.060606060606e-09 5.000000000000e-01 1.451464794573e-09 6.842619745846e-01 2.34537e-08 1.00197e+01 + 51 JET 1.350000000000e+00 3.364000000000e+03 1.960000000000e+03 9.378448275862e+00 2.586206896552e-01 5.500000000000e-01 5.800000000000e+00 7.721845914116e-01 8.143037509431e+00 3.232400615211e-01 3.408713376041e+00 1.299801305588e-01 1.370699558620e+00 1.154428791147e-01 1.217397634300e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.374479728983e-01 2.503996805110e+00 0.000000000000e+00 0.000000000000e+00 2.463692959042e-01 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.847986751629e-01 3.003331483536e+00 6.353448275862e-01 6.700000000000e+00 1.232758620690e-01 1.300000000000e+00 1.706896551724e-01 1.800000000000e+00 1.021848989298e+00 1.077586206897e+01 7.56011e-01 8.06115e+00 + 52 JET 1.350000000000e+00 4.489000000000e+03 1.960000000000e+03 3.838834951456e+00 1.323918799647e-01 2.252427184466e-01 5.800000000000e+00 3.226104554048e-01 8.307219226673e+00 1.258967630848e-01 3.241841649433e+00 5.758346266094e-02 1.482774163519e+00 6.831330042385e-02 1.759067485914e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.987284382278e-02 3.011203759296e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.683553662814e-02 2.550980203765e+00 0.000000000000e+00 0.000000000000e+00 1.714635305847e-02 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.881474621478e-02 2.850877058030e+00 3.827787934186e-02 5.800000000000e+00 5.279707495430e-03 8.000000000000e-01 8.262731687794e-03 1.251998402555e+00 3.921172157255e-02 5.941499085923e+00 5.51306e-02 8.45933e+00 + 55 JET 1.350000000000e+00 1.060900000000e+04 1.960000000000e+03 2.726148148148e-01 4.629629629630e-03 1.600370370370e-02 5.800000000000e+00 2.599026078940e-02 9.419289145153e+00 7.678940687778e-03 2.782971792886e+00 4.991311447056e-03 1.808931665376e+00 1.057331063933e-02 3.831938084051e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.174074074074e-03 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 7.168765842438e-03 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.142152834342e-03 2.950847335936e+00 1.545185185185e-02 5.600000000000e+00 1.655555555556e-03 6.000000000000e-01 3.179140878979e-03 1.152171862180e+00 1.328532235940e-02 4.814814814815e+00 2.33403e-02 8.56164e+00 + 56 JET 1.350000000000e+00 1.404225000000e+04 1.960000000000e+03 1.053539325843e-01 2.808988764045e-03 6.191011235955e-03 5.800000000000e+00 1.065375149013e-02 9.980882974968e+00 2.799075912338e-03 2.622292170507e+00 2.022239866183e-03 1.894519453582e+00 5.166576243479e-03 4.840266164944e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.936363476024e-03 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 2.773227416613e-03 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.256492790920e-03 3.050819562019e+00 5.764044943820e-03 5.400000000000e+00 4.269662921348e-04 4.000000000000e-01 1.123325107913e-03 1.052378258992e+00 4.197702310314e-03 3.932584269663e+00 9.06539e-03 8.60470e+00 + 57 JET 1.350000000000e+00 1.863225000000e+04 1.960000000000e+03 3.821246458924e-02 3.777148253069e-04 2.245514636449e-03 5.800000000000e+00 4.145205987885e-03 1.070676375895e+01 9.834415155124e-04 2.540157475433e+00 7.424983442119e-04 1.917818893952e+00 2.345508014497e-03 6.058275578909e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.142443255650e-03 2.950847335936e+00 0.000000000000e+00 0.000000000000e+00 1.005865199863e-03 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.278793063572e-03 3.303028912983e+00 2.013220018886e-03 5.200000000000e+00 1.161473087819e-04 3.000000000000e-01 4.074363420084e-04 1.052378258992e+00 1.242999212648e-03 3.210576015109e+00 3.33084e-03 8.71663e+00 + 58 JET 1.350000000000e+00 2.480625000000e+04 1.960000000000e+03 1.306679352997e-02 1.902949571836e-04 7.670789724072e-04 5.800000000000e+00 1.558312628407e-03 1.178263721191e+01 3.264674446845e-04 2.468469671679e+00 2.676273819797e-04 2.023571068063e+00 9.983829994421e-04 7.548924693624e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.364414843007e-04 3.300000000000e+00 0.000000000000e+00 0.000000000000e+00 3.436085569725e-04 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.897007978761e-04 3.702701716315e+00 6.612749762131e-04 5.000000000000e+00 1.322549952426e-05 1.000000000000e-01 1.259898042233e-04 9.526279441629e-01 3.397606918697e-04 2.568981921979e+00 1.14160e-03 8.73668e+00 + 59 JET 1.350000000000e+00 3.312400000000e+04 1.960000000000e+03 3.969473684211e-03 3.827751196172e-05 2.325550239234e-04 5.800000000000e+00 5.297765963357e-04 1.321280532627e+01 9.692654519426e-05 2.417380423103e+00 8.431281671008e-05 2.102789820096e+00 3.784118545255e-04 9.437718090195e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.503855797615e-04 3.750666607418e+00 0.000000000000e+00 0.000000000000e+00 1.041716681873e-04 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.704302826348e-04 4.250588194591e+00 1.924593301435e-04 4.800000000000e+00 4.009569377990e-06 1.000000000000e-01 3.819627833533e-05 9.526279441629e-01 8.057507840938e-05 2.009569377990e+00 3.46357e-04 8.72552e+00 + 60 JET 1.350000000000e+00 4.389025000000e+04 1.960000000000e+03 1.099134615385e-03 1.923076923077e-05 6.413461538462e-05 5.800000000000e+00 1.672144035384e-04 1.512199823304e+01 2.693530984832e-05 2.435888890631e+00 2.478048506046e-05 2.241017779381e+00 1.307978646235e-04 1.182867645290e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.757378553643e-05 4.302324952860e+00 8.983311697434e-06 8.124038404636e-01 2.872872733708e-05 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.584681999066e-05 5.050495025243e+00 5.197115384615e-05 4.700000000000e+00 2.211538461538e-06 2.000000000000e-01 9.951923076923e-06 9.000000000000e-01 1.701183431953e-05 1.538461538462e+00 9.56612e-05 8.70332e+00 + 61 JET 1.350000000000e+00 5.832225000000e+04 1.960000000000e+03 2.648310810811e-04 8.687258687259e-06 1.528378378378e-05 5.800000000000e+00 4.604601883267e-05 1.747387381343e+01 6.508486149400e-06 2.469887051567e+00 6.265178255965e-06 2.377554825341e+00 3.868595505625e-05 1.468082397006e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.344435512795e-05 5.101960407530e+00 6.598369959411e-06 2.503996805110e+00 6.846281908296e-06 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.620715223883e-05 6.150406490631e+00 1.212162162162e-05 4.600000000000e+00 1.054054054054e-06 4.000000000000e-01 2.371621621622e-06 9.000000000000e-01 3.052280079307e-06 1.158301158301e+00 2.27906e-05 8.60571e+00 + 62 JET 1.350000000000e+00 7.756225000000e+04 1.960000000000e+03 5.149912875121e-05 2.226524685382e-06 2.908422071636e-06 5.800000000000e+00 1.010654729516e-05 2.015456246312e+01 1.246200276232e-06 2.485183176347e+00 1.259894784762e-06 2.512492881582e+00 9.065764646877e-06 1.807902486530e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.035649423562e-06 6.053717865907e+00 2.782042408697e-06 5.547972602672e+00 1.302810723602e-06 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.790112034101e-06 7.558273612406e+00 2.206389157793e-06 4.400000000000e+00 4.011616650532e-07 8.000000000000e-01 4.513068731849e-07 9.000000000000e-01 4.368895190560e-07 8.712487899322e-01 4.33301e-06 8.41376e+00 + 63 JET 1.350000000000e+00 1.030410000000e+05 1.960000000000e+03 8.230475728155e-06 5.922330097087e-07 4.499223300971e-07 5.800000000000e+00 1.871266017276e-06 2.412270335161e+01 2.024393194834e-07 2.609668323753e+00 2.128208230466e-07 2.743497468561e+00 1.772641733425e-06 2.285132647594e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.586320014766e-07 7.201388754956e+00 8.282782663380e-07 1.067742946593e+01 2.015400866865e-07 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.133641836743e-07 9.196058938480e+00 3.335631067961e-07 4.300000000000e+00 1.241165048544e-07 1.600000000000e+00 6.981553398058e-08 9.000000000000e-01 4.518804788387e-08 5.825242718447e-01 6.76214e-07 8.21598e+00 + 64 JET 1.350000000000e+00 1.369000000000e+05 1.960000000000e+03 1.191974708171e-06 2.140077821012e-07 5.924124513619e-08 5.800000000000e+00 3.784428315691e-07 3.705135531934e+01 3.650228730029e-08 3.573747747114e+00 3.918627901354e-08 3.836523316754e+00 3.768324365412e-07 3.689368997756e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.686711876875e-08 8.504704580407e+00 1.928095194616e-07 1.887697009586e+01 2.653677064125e-08 2.598076211353e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134214860937e-07 1.110450359089e+01 4.289883268482e-08 4.200000000000e+00 2.859922178988e-08 2.800000000000e+00 9.192607003891e-09 9.000000000000e-01 2.980741570652e-09 2.918287937743e-01 9.65309e-08 8.09840e+00 + 65 JET 1.850000000000e+00 3.364000000000e+03 1.960000000000e+03 5.942310070671e+00 1.325088339223e-01 3.417491166078e-01 5.800000000000e+00 5.846638354274e-01 9.922630610251e+00 2.447430008766e-01 4.153659325222e+00 9.841517495566e-02 1.670254543475e+00 8.740821459878e-02 1.483449759008e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.298965276142e-01 2.204540768505e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.731096665015e-02 1.651514456491e+00 1.885512367491e-01 3.200000000000e+00 5.892226148410e-02 1.000000000000e+00 1.208624710984e-01 2.051219149677e+00 5.413352645182e-01 9.187279151943e+00 4.80357e-01 8.08367e+00 + 66 JET 1.850000000000e+00 4.489000000000e+03 1.960000000000e+03 2.409838709677e+00 1.792114695341e-02 1.392831541219e-01 5.800000000000e+00 2.277696171289e-01 9.484734802829e+00 8.888570424541e-02 3.701359923055e+00 4.065510904407e-02 1.692951555716e+00 4.823059520135e-02 2.008408367340e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.763440860215e-02 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.966002458241e-02 1.651514456491e+00 7.924731182796e-02 3.300000000000e+00 1.921146953405e-02 8.000000000000e-01 4.322580645161e-02 1.800000000000e+00 1.872085404864e-01 7.795698924731e+00 1.97556e-01 8.19788e+00 + 67 JET 1.850000000000e+00 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b/nnpdfcpp/data/commondata/DATA_CMS1JET276TEV_SF.dat index a93b3e5c01..08fd25af2e 100644 --- a/nnpdfcpp/data/commondata/DATA_CMS1JET276TEV_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_CMS1JET276TEV_SF.dat @@ -1,82 +1,82 @@ -CMS1JET276TEV 106 81 - 1 JET 2.500000000000e-01 6.241000000000e+03 2.760000000000e+03 4.968430826370e+03 0.000000000000e+00 1.838319405757e+02 3.700000000000e+00 6.458960074280e+01 1.300000000000e+00 1.155147160226e+02 2.324973820900e+00 0.000000000000e+00 0.000000000000e+00 2.981058495822e+01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.458960074280e+01 1.300000000000e+00 2.981058495822e+01 6.000000000000e-01 3.477901578459e+01 7.000000000000e-01 4.968430826370e+01 1.000000000000e+00 2.235793871866e+02 4.500000000000e+00 9.936861652739e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.981058495822e+01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 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2.760000000000e+03 2.177886977887e-01 0.000000000000e+00 8.058181818182e-03 3.700000000000e+00 8.493759213759e-03 3.900000000000e+00 1.825649569587e-03 8.382664427141e-01 8.711547911548e-04 4.000000000000e-01 2.395675675676e-03 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 5.226928746929e-03 2.400000000000e+00 4.355773955774e-04 2.000000000000e-01 4.355773955774e-04 2.000000000000e-01 1.524520884521e-03 7.000000000000e-01 5.880294840295e-03 2.700000000000e+00 1.306732186732e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.306732186732e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.355773955774e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.533660933661e-04 3.000000000000e-01 5.662506142506e-03 2.600000000000e+00 4.355773955774e-04 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0.000000000000e+00 6.612610837438e-05 3.700000000000e+00 1.787192118227e-05 1.000000000000e+00 1.257448729101e-05 7.035890077382e-01 1.429753694581e-05 8.000000000000e-01 2.323349753695e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 5.897733990148e-05 3.300000000000e+00 1.072315270936e-05 6.000000000000e-01 1.072315270936e-05 6.000000000000e-01 2.859507389163e-05 1.600000000000e+00 3.753103448276e-05 2.100000000000e+00 8.935960591133e-06 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.787192118227e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.574384236453e-06 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.144630541872e-05 1.200000000000e+00 7.506206896552e-05 4.200000000000e+00 3.574384236453e-06 2.000000000000e-01 0.000000000000e+00 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2.760000000000e+03 2.990205680705e-02 0.000000000000e+00 1.106376101861e-03 3.700000000000e+00 1.883829578844e-03 6.300000000000e+00 9.390135894763e-04 3.140297657567e+00 3.588246816846e-04 1.200000000000e+00 6.279431929481e-04 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.422066601371e-03 8.100000000000e+00 1.495102840353e-04 5.000000000000e-01 1.196082272282e-04 4.000000000000e-01 8.970617042116e-05 3.000000000000e-01 2.750989226249e-03 9.200000000000e+00 3.498540646425e-03 1.170000000000e+01 8.073555337904e-04 2.700000000000e+00 2.990205680705e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913731635651e-03 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.093143976494e-03 7.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.824025465230e-03 6.100000000000e+00 2.511772771792e-03 8.400000000000e+00 6.877473065622e-04 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1.770803949224e+01 4.500000000000e+00 7.870239774330e-01 2.000000000000e-01 2.675881523272e+01 6.800000000000e+00 4.328631875882e+00 1.100000000000e+00 3.148095909732e+00 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.649325626204e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.649325626204e-02 1.000000000000e-01 7.979190751445e-01 1.200000000000e+00 6.649325626204e-02 1.000000000000e-01 2.116269853253e-02 3.182683436217e-02 -1.683851403007e-02 -2.532364178964e-02 5.366581687403e-02 8.070866113481e-02 1.193860792364e-01 1.795461464030e-01 -2.436298226680e-01 -3.663977918420e-01 -7.640862277149e-01 -1.149118377815e+00 1.113723767321e-01 1.674942437669e-01 -5.245845803988e-02 -7.889289980497e-02 1.395472481768e-02 2.098667684838e-02 -4.342744775191e-03 -6.531105587725e-03 1.405096056267e-03 2.113140693141e-03 -3.352563020970e-04 -5.041959454892e-04 8.974313361030e-05 1.349657674406e-04 -1.586815579033e-05 -2.386430847633e-05 6.183339306744e-06 9.299197624457e-06 -2.439021706076e-06 -3.668073791520e-06 2.923297858267e-08 4.396382464331e-08 4.174628864383e-07 6.278274067270e-07 1.491199289030e-07 2.242632370346e-07 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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9.871497584541e-01 3.400000000000e+00 5.806763285024e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.161352657005e-01 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.806763285024e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.903381642512e-02 1.000000000000e-01 4.645410628019e-01 1.600000000000e+00 2.903381642512e-02 1.000000000000e-01 8.157040662263e-04 2.809496534257e-03 -4.776698416749e-03 -1.645218922241e-02 -3.285776251881e-02 -1.131706629184e-01 9.488381963680e-02 3.268045035743e-01 1.073412551960e-01 3.697111451841e-01 -2.238882672016e-01 -7.711293063350e-01 -4.486128296209e-01 -1.545139030475e+00 7.774905702524e-02 2.677879335146e-01 -4.410069718687e-02 -1.518942482143e-01 1.175230363352e-02 4.047798422861e-02 -4.401158657498e-03 -1.515873281368e-02 1.053887417747e-03 3.629861821525e-03 -2.877682544905e-04 -9.911485637195e-04 5.166993985236e-05 1.779646846828e-04 -2.007396242896e-05 -6.913993715132e-05 7.948909126567e-06 2.737810630947e-05 -9.592549395200e-08 -3.303923003006e-07 -1.363911731384e-06 -4.697666029893e-06 -4.864323356675e-07 -1.675399226010e-06 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 2.105956416465e-01 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.948668280872e-01 3.000000000000e+00 2.632445520581e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.264891041162e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.316222760291e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.842711864407e-01 1.400000000000e+00 1.316222760291e-02 1.000000000000e-01 -4.027875432100e-04 -3.060177618575e-03 7.880214590512e-05 5.986991585507e-04 -3.637046131468e-03 -2.763245129316e-02 -2.724385625011e-03 -2.069851477427e-02 1.968684733073e-02 1.495707863795e-01 7.414495862691e-02 5.633161867718e-01 -1.829074914963e-01 -1.389639330168e+00 -2.573271888702e-01 -1.955042844065e+00 6.656437667129e-02 5.057227293091e-01 -3.340283321571e-02 -2.537779639089e-01 1.125802031502e-02 8.553278863323e-02 -3.076791487815e-03 -2.337591766865e-02 8.484559839457e-04 6.446142777218e-03 -1.540690299213e-04 -1.170539171403e-03 6.050867582390e-05 4.597145532611e-04 -2.428472181610e-05 -1.845031293240e-04 3.051957841411e-07 2.318724408577e-06 4.200020519880e-06 3.190964817348e-05 1.517005158519e-06 1.152544390119e-05 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-5.929629389486e-02 4.102619961103e-04 2.616310992564e-02 -6.382442010073e-06 -4.070192547367e-04 -7.469528304889e-05 -4.763446090215e-03 -2.827648486667e-05 -1.803239853780e-03 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.490696541646e-03 2.000000000000e-01 2.981393083293e-03 4.000000000000e-01 1.788835849976e-02 2.400000000000e+00 2.236044812470e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.236044812470e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.490696541646e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.490696541646e-03 2.000000000000e-01 1.490696541646e-02 2.000000000000e+00 1.490696541646e-03 2.000000000000e-01 -2.248470239416e-09 -3.016670632284e-07 -3.787241508543e-11 -5.081170315671e-09 -9.360956821108e-07 -1.255917158132e-04 3.017066425878e-06 4.047861307233e-04 2.261165554046e-05 3.033703360643e-03 3.940651784490e-05 5.286993931224e-03 -1.789119829861e-03 -2.400381002944e-01 6.436050503064e-05 8.634957314593e-03 1.358045562858e-02 1.822028192751e+00 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1.949317738791e+00 1.284990253411e-03 4.000000000000e-01 2.248732943470e-03 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.103703703704e-03 1.900000000000e+00 6.424951267057e-04 2.000000000000e-01 6.424951267057e-04 2.000000000000e-01 1.284990253411e-03 4.000000000000e-01 7.067446393762e-03 2.200000000000e+00 6.424951267057e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.424951267057e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.424951267057e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.637426900585e-04 3.000000000000e-01 6.424951267057e-03 2.000000000000e+00 3.212475633528e-04 1.000000000000e-01 -8.699408581027e-10 -2.708007646885e-07 2.866242847370e-09 8.922224397458e-07 -3.813018472769e-08 -1.186940823137e-05 -1.165217650605e-06 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8.74000e+00 + 14 JET 2.500000000000e-01 1.432622500000e+05 2.760000000000e+03 1.124878048780e-01 0.000000000000e+00 4.162048780488e-03 3.700000000000e+00 1.574829268293e-03 1.400000000000e+00 2.200364365696e-03 1.956091478611e+00 4.499512195122e-04 4.000000000000e-01 1.012390243902e-03 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.362243902439e-03 2.100000000000e+00 3.374634146341e-04 3.000000000000e-01 3.374634146341e-04 3.000000000000e-01 6.749268292683e-04 6.000000000000e-01 2.474731707317e-03 2.200000000000e+00 2.249756097561e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.249756097561e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.249756097561e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.499512195122e-04 4.000000000000e-01 2.699707317073e-03 2.400000000000e+00 2.249756097561e-04 2.000000000000e-01 -6.961746377816e-12 -6.188889884876e-09 2.112928130415e-10 1.878361954619e-07 2.178178619962e-08 1.936368677764e-05 -1.677208077143e-07 -1.491013251580e-04 -4.950679582732e-07 -4.401081155508e-04 6.633528500719e-06 5.897109031428e-03 5.614741967247e-05 4.991422824309e-02 -1.210291904513e-04 -1.075931658391e-01 -7.104648065089e-04 -6.315927377898e-01 6.938377484211e-04 6.168115283015e-01 4.563373101866e-03 4.056771404521e+00 -4.115552615282e-04 -3.658665594679e-01 -1.725058558157e-02 -1.533551623686e+01 -1.494979501655e-02 -1.329014734776e+01 6.205013898995e-03 5.516165868577e+00 -5.758841938925e-03 -5.119525574500e+00 1.413618976133e-04 1.256686427178e-01 1.206761381131e-03 1.072793075160e+00 5.225017581404e-04 4.644963591448e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-2.190796352528e+00 -7.278553330112e-04 -9.157408678251e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.392480468750e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.641601562500e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.283203125000e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.784960937500e-04 6.000000000000e-01 1.346064453125e-03 2.900000000000e+00 9.283203125000e-05 2.000000000000e-01 -3.556654298199e-15 -7.662558387031e-12 -9.090860500367e-13 -1.958561151352e-09 -2.463498882798e-10 -5.307432897086e-07 3.680437583452e-09 7.929240659489e-06 8.993190164548e-09 1.937518773090e-05 -3.803449550491e-07 -8.194261181786e-04 -1.897652409239e-06 -4.088356968358e-03 1.611696741306e-05 3.472285847038e-02 5.038422429409e-05 1.085492229690e-01 -1.334763813016e-04 -2.875653575696e-01 -4.269727148117e-04 -9.198823058429e-01 4.328296387267e-04 9.325006312984e-01 3.398774516231e-03 7.322417640691e+00 -7.869757348569e-05 -1.695483173771e-01 -1.456737544810e-02 -3.138437294100e+01 -5.440935023688e-03 -1.172210701506e+01 4.316489461520e-04 9.299569132329e-01 1.474908817589e-03 3.177586007176e+00 1.147829704906e-03 2.472917352880e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-2.703504967257e-07 -2.181551683586e-03 -6.832148373047e-07 -5.513096874704e-03 8.441571643179e-06 6.811796188034e-02 2.044362802039e-05 1.649667067997e-01 -5.919672805052e-05 -4.776788772556e-01 -1.985858565104e-04 -1.602457975309e+00 2.484719794621e-04 2.005006359095e+00 1.761513705814e-03 1.421426347323e+01 -1.395897753034e-03 -1.126398186846e+01 -4.820813065770e-03 -3.890080834790e+01 -1.509497416605e-03 -1.218065685266e+01 -4.440210164085e-03 -3.582959186779e+01 -2.032098378005e-03 -1.639770479966e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.017595307918e-02 0.000000000000e+00 3.765102639296e-04 3.700000000000e+00 6.105571847507e-05 6.000000000000e-01 2.093636712621e-04 2.057435501452e+00 6.105571847507e-05 6.000000000000e-01 1.119354838710e-04 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.645747800587e-04 2.600000000000e+00 4.070381231672e-05 4.000000000000e-01 5.087976539589e-05 5.000000000000e-01 1.221114369501e-04 1.200000000000e+00 1.628152492669e-04 1.600000000000e+00 3.052785923754e-05 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.035190615836e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.017595307918e-04 1.000000000000e+00 3.358064516129e-04 3.300000000000e+00 2.035190615836e-05 2.000000000000e-01 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1.112958435208e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.121271393643e-05 1.100000000000e+00 1.836381418093e-04 3.300000000000e+00 1.112958435208e-05 2.000000000000e-01 1.731606719203e-18 3.111718577127e-14 -6.147000074372e-19 -1.104623475579e-14 2.950563071301e-14 5.302198137794e-10 -2.387501799187e-13 -4.290370104866e-09 -4.346294210517e-12 -7.810344165649e-08 -6.617144658184e-11 -1.189109035675e-06 5.847860981854e-09 1.050867812644e-04 1.502491998901e-09 2.699996606110e-05 -2.940132830583e-07 -5.283454866909e-03 -2.462266392092e-07 -4.424722998092e-03 5.973958107281e-06 1.073527621212e-01 1.521688937247e-05 2.734493740483e-01 -5.095812865571e-05 -9.157238409572e-01 -2.243905180970e-04 -4.032325215363e+00 3.620358107900e-04 6.505828058572e+00 1.112528512425e-03 1.999227423470e+01 -1.442149024855e-03 -2.591559539391e+01 -1.921215717376e-04 -3.452448279467e+00 4.874029869950e-03 8.758691638004e+01 0.000000000000e+00 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6.840504062847e-08 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.718615984405e-01 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 3.928265107212e-01 1.600000000000e+00 2.455165692008e-02 1.000000000000e-01 2.455165692008e-02 1.000000000000e-01 4.910331384016e-02 2.000000000000e-01 7.856530214425e-01 3.200000000000e+00 7.365497076023e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.473099415205e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.455165692008e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.455165692008e-02 1.000000000000e-01 3.191715399610e-01 1.300000000000e+00 2.455165692008e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.760000000000e+03 1.106008793356e+01 0.000000000000e+00 4.092232535418e-01 3.700000000000e+00 6.636052760137e-02 6.000000000000e-01 1.352927447478e-01 1.223251981001e+00 0.000000000000e+00 0.000000000000e+00 8.848070346849e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.101416707377e-01 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.649829018075e-01 3.300000000000e+00 3.318026380068e-02 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.636052760137e-02 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.212017586712e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.212017586712e-02 2.000000000000e-01 1.990815828041e-01 1.800000000000e+00 2.212017586712e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -2.516431301251e-04 -2.275236251617e-03 -3.452109259084e-04 -3.121231295647e-03 -4.018688140253e-03 -3.633504692181e-02 -7.773743258016e-03 -7.028645074717e-02 3.946962372878e-02 3.568653700212e-01 5.063675785922e-02 4.578332302907e-01 -2.045946727488e-01 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5.047479197259e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.047479197259e-03 1.000000000000e-01 8.580714635340e-02 1.700000000000e+00 1.009495839452e-02 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -2.085023928456e-06 -4.130822232191e-05 2.067584034688e-05 4.096270541959e-04 3.679195127823e-05 7.289173434971e-04 -2.503200930999e-03 -4.959309059378e-02 -4.761760408562e-03 -9.433937659709e-02 3.183309631469e-02 6.306731552650e-01 2.526948302330e-02 5.006357041952e-01 -1.440230323124e-01 -2.853365545133e+00 -1.300011163362e-01 -2.575565173341e+00 3.417931124794e-02 6.771560597319e-01 -1.937353861093e-02 -3.838260219368e-01 5.874590727116e-03 1.163866258291e-01 -1.846944578084e-03 -3.659142526209e-02 6.420607352532e-04 1.272042360475e-02 -2.157818455225e-04 -4.275041799869e-03 7.786534344340e-05 1.542658035831e-03 -2.712399758474e-05 -5.373771049808e-04 -7.953711917526e-07 -1.575779038742e-05 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.053974484789e-03 1.000000000000e-01 1.053974484789e-03 1.000000000000e-01 2.107948969578e-03 2.000000000000e-01 2.951128557409e-02 2.800000000000e+00 3.161923454367e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.269872423945e-03 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.053974484789e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.053974484789e-03 1.000000000000e-01 2.107948969578e-02 2.000000000000e+00 1.053974484789e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-1.169122447228e-01 4.627786914621e-04 4.390795964617e-02 -1.706889806407e-04 -1.619479248351e-02 -5.315729727490e-06 -5.043508931390e-04 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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7.261296660118e-03 1.500000000000e+00 4.279742628753e-03 8.840864440079e-01 1.452259332024e-03 3.000000000000e-01 3.872691552063e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 9.681728880157e-03 2.000000000000e+00 4.840864440079e-04 1.000000000000e-01 4.840864440079e-04 1.000000000000e-01 1.452259332024e-03 3.000000000000e-01 1.258624754420e-02 2.600000000000e+00 1.936345776031e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.936345776031e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.840864440079e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.840864440079e-04 1.000000000000e-01 1.016581532417e-02 2.100000000000e+00 4.840864440079e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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7.474359008768e-04 1.544013285496e-01 -4.417481896878e-02 -9.125398886001e+00 -3.013623842059e-02 -6.225383667240e+00 1.052563935711e-02 2.174330532780e+00 -6.544198597588e-03 -1.351865700557e+00 2.557839323966e-03 5.283848278810e-01 -1.047210618878e-03 -2.163271935913e-01 4.039488701517e-04 8.344560669937e-02 1.311626458095e-05 2.709488097283e-03 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 4.13168e-02 8.53500e+00 + 32 JET 7.500000000000e-01 1.197160000000e+05 2.760000000000e+03 2.177886977887e-01 0.000000000000e+00 8.058181818182e-03 3.700000000000e+00 8.493759213759e-03 3.900000000000e+00 1.825649569587e-03 8.382664427141e-01 8.711547911548e-04 4.000000000000e-01 2.395675675676e-03 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 5.226928746929e-03 2.400000000000e+00 4.355773955774e-04 2.000000000000e-01 4.355773955774e-04 2.000000000000e-01 1.524520884521e-03 7.000000000000e-01 5.880294840295e-03 2.700000000000e+00 1.306732186732e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.306732186732e-03 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.355773955774e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.533660933661e-04 3.000000000000e-01 5.662506142506e-03 2.600000000000e+00 4.355773955774e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -6.441795405529e-10 -2.957818964407e-07 1.699640762985e-09 7.804081571917e-07 -1.166224378733e-07 -5.354843435744e-05 -1.216054050484e-06 -5.583641680360e-04 8.524107810343e-06 3.913934881329e-03 8.624764614940e-05 3.960152525136e-02 -1.470892269153e-04 -6.753758501189e-02 -1.115307960604e-03 -5.121055279397e-01 6.796230163929e-04 3.120561458392e-01 7.809071960613e-03 3.585618555922e+00 -9.518389214616e-04 -4.370469777018e-01 -2.884978601053e-02 -1.324668649175e+01 -1.770594129788e-02 -8.129871512000e+00 7.715478586255e-03 3.542644161333e+00 -5.086745034480e-03 -2.335633155498e+00 2.131531597015e-03 9.787154331960e-01 -9.316910077016e-04 -4.277958485273e-01 -3.252502217767e-05 -1.493421031849e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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9.000000000000e-01 1.490649606299e-03 2.500000000000e+00 1.788779527559e-04 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.192519685039e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.962598425197e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.577559055118e-04 6.000000000000e-01 1.788779527559e-03 3.000000000000e+00 1.192519685039e-04 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-1.303689022122e-04 -2.186444447798e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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5.000000000000e-01 3.087149187592e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.335302806499e-04 2.700000000000e+00 1.234859675037e-04 4.000000000000e-01 1.234859675037e-04 4.000000000000e-01 3.087149187592e-04 1.000000000000e+00 6.483013293944e-04 2.100000000000e+00 1.234859675037e-04 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.087149187592e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.087149187592e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.161004431315e-04 7.000000000000e-01 1.018759231905e-03 3.300000000000e+00 6.174298375185e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.729921548956e-15 2.827826262509e-11 -3.924603511553e-13 -1.271271089627e-09 -1.107747505917e-11 -3.588253882801e-08 2.138263185389e-09 6.926335772767e-06 1.961058265386e-08 6.352327491227e-05 -4.132928895728e-07 -1.338752565745e-03 -8.130940614710e-07 -2.633802294813e-03 1.540957069639e-05 4.991521225577e-02 3.127021129742e-05 1.012915456859e-01 -1.632408380103e-04 -5.287753460906e-01 -3.835681899745e-04 -1.242467294798e+00 7.861679036063e-04 2.546582156658e+00 2.835930313234e-03 9.186243167749e+00 -2.612717754432e-03 -8.463205357658e+00 -1.036161747295e-02 -3.356370827363e+01 -3.592291145696e-03 -1.163627323271e+01 3.237225730878e-03 1.048613310911e+01 2.434031006014e-04 7.884397086467e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.376562500000e+05 2.760000000000e+03 1.597044334975e-02 0.000000000000e+00 5.909064039409e-04 3.700000000000e+00 2.235862068966e-04 1.400000000000e+00 1.101409886190e-04 6.896551724138e-01 1.117931034483e-04 7.000000000000e-01 1.756748768473e-04 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 4.631428571429e-04 2.900000000000e+00 9.582266009852e-05 6.000000000000e-01 7.985221674877e-05 5.000000000000e-01 1.916453201970e-04 1.200000000000e+00 3.034384236453e-04 1.900000000000e+00 6.388177339901e-05 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.597044334975e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.597044334975e-04 1.000000000000e+00 5.749359605911e-04 3.600000000000e+00 3.194088669951e-05 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -6.543261996129e-16 -4.097107295540e-12 2.624144794779e-15 1.643125827699e-11 -7.634023723436e-12 -4.780095051997e-08 -4.426204534449e-11 -2.771497595599e-07 5.417237156067e-09 3.392039305002e-05 9.030269616150e-09 5.654363763351e-05 -3.826215626568e-07 -2.395810524964e-03 -4.522372597374e-07 -2.831713871891e-03 1.082643752328e-05 6.779046320871e-02 2.674629974052e-05 1.674737460619e-01 -1.178688244794e-04 -7.380435339085e-01 -3.563850597292e-04 -2.231528905769e+00 5.966301694703e-04 3.735839740977e+00 2.404973745697e-03 1.505890408317e+01 -1.493716096988e-03 -9.353003321670e+00 -7.829060018068e-03 -4.902218333337e+01 -3.408411459665e-03 -2.134199649328e+01 -3.555934514381e-04 -2.226572197469e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-3.857470722553e-05 -2.283576881749e+00 1.507081056822e-05 8.921740974363e-01 3.458485252696e-04 2.047382219326e+01 2.280771719245e-04 1.350189786319e+01 -2.845108331986e-03 -1.684270362704e+02 1.615684076181e-03 9.564657958402e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.00593e-04 5.95500e+00 + 67 JET 2.250000000000e+00 6.241000000000e+03 2.760000000000e+03 1.635585156993e+03 0.000000000000e+00 6.051665080875e+01 3.700000000000e+00 3.434728829686e+01 2.100000000000e+00 2.964993578706e+01 1.812802938464e+00 0.000000000000e+00 0.000000000000e+00 9.813510941960e+00 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.944053282588e+01 1.800000000000e+00 1.144909609895e+01 7.000000000000e-01 1.308468125595e+01 8.000000000000e-01 1.799143672693e+01 1.100000000000e+00 9.322835394862e+01 5.700000000000e+00 5.560989533777e+01 3.400000000000e+00 6.542340627973e+00 4.000000000000e-01 3.271170313987e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.743196955281e+01 2.900000000000e+00 2.126260704091e+01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.144909609895e+01 7.000000000000e-01 4.906755470980e+00 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.196574690771e+01 4.400000000000e+00 1.144909609895e+01 7.000000000000e-01 4.906755470980e+00 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 8.39873e+01 5.13500e+00 + 68 JET 2.250000000000e+00 8.190250000000e+03 2.760000000000e+03 6.508847441416e+02 0.000000000000e+00 2.408273553324e+01 3.700000000000e+00 1.301769488283e+01 2.000000000000e+00 1.152573916430e+01 1.770780352135e+00 0.000000000000e+00 0.000000000000e+00 4.556193208991e+00 7.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.431946437111e+01 2.200000000000e+00 3.905308464849e+00 6.000000000000e-01 4.556193208991e+00 7.000000000000e-01 7.159732185557e+00 1.100000000000e+00 4.165662362506e+01 6.400000000000e+00 2.408273553324e+01 3.700000000000e+00 3.254423720708e+00 5.000000000000e-01 1.301769488283e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.147919655667e+01 3.300000000000e+00 7.810616929699e+00 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 5.857962697274e+00 9.000000000000e-01 1.301769488283e+00 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.798804399809e+01 4.300000000000e+00 6.508847441416e+00 1.000000000000e+00 2.603538976566e+00 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.200000000000e+00 1.835463719366e+00 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.447284959154e+00 1.200000000000e+00 6.118212397886e-01 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 8.157616530514e+00 4.000000000000e+00 2.855165785680e+00 1.400000000000e+00 1.019702066314e+00 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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-8.551426934674e-01 -1.468511780382e-01 -7.200690421713e-02 6.029364090574e-02 2.956434182961e-02 -5.680863358001e-05 -2.785550576814e-05 1.887287022569e-06 9.254110023481e-07 1.094106730769e-06 5.364835312746e-07 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.08496e+01 5.32000e+00 + 70 JET 2.250000000000e+00 1.525225000000e+04 2.760000000000e+03 5.546112988894e+01 0.000000000000e+00 2.052061805891e+00 3.700000000000e+00 1.164683727668e+00 2.100000000000e+00 1.098628022124e+00 1.980897295680e+00 0.000000000000e+00 0.000000000000e+00 5.546112988894e-01 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.552911636890e+00 2.800000000000e+00 2.773056494447e-01 5.000000000000e-01 3.882279092226e-01 7.000000000000e-01 4.991501690005e-01 9.000000000000e-01 3.383128923225e+00 6.100000000000e+00 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1.658707482993e-01 3.700000000000e+00 1.479387755102e-01 3.300000000000e+00 1.061807839721e-01 2.368524316220e+00 0.000000000000e+00 0.000000000000e+00 6.724489795918e-02 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 1.479387755102e-01 3.300000000000e+00 8.965986394558e-03 2.000000000000e-01 4.482993197279e-03 1.000000000000e-01 1.344897959184e-02 3.000000000000e-01 2.555306122449e-01 5.700000000000e+00 2.331156462585e-01 5.200000000000e+00 2.689795918367e-02 6.000000000000e-01 4.482993197279e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.210408163265e-01 2.700000000000e+00 8.965986394558e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.621088435374e-02 1.700000000000e+00 8.965986394558e-03 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.479387755102e-01 3.300000000000e+00 1.210408163265e-01 2.700000000000e+00 1.793197278912e-02 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 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1.493361702989e-03 2.505214367670e-01 1.430532795260e-03 2.399814663074e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.11761e-02 5.23000e+00 + 74 JET 2.250000000000e+00 4.326400000000e+04 2.760000000000e+03 7.763556424035e-02 0.000000000000e+00 2.872515876893e-03 3.700000000000e+00 2.717244748412e-03 3.500000000000e+00 2.199410554025e-03 2.832993584250e+00 2.329066927211e-04 3.000000000000e-01 1.630346849047e-03 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 3.493600390816e-03 4.500000000000e+00 7.763556424035e-05 1.000000000000e-01 7.763556424035e-05 1.000000000000e-01 1.552711284807e-04 2.000000000000e-01 5.822667318026e-03 7.500000000000e+00 6.521387396190e-03 8.400000000000e+00 9.316267708842e-04 1.200000000000e+00 7.763556424035e-05 1.000000000000e-01 0.000000000000e+00 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8.160888436199e-02 -5.406767451059e-05 -6.964292079233e-02 5.092218603487e-05 6.559131312193e-02 6.071398716525e-03 7.820383320367e+00 4.762546925990e-03 6.134491289644e+00 -8.097224505692e-03 -1.042978766873e+01 -2.025068049648e-02 -2.608428327228e+01 -8.107021810452e-03 -1.044240727787e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.62675e-03 4.67150e+00 + 75 JET 2.250000000000e+00 5.405625000000e+04 2.760000000000e+03 2.990205680705e-02 0.000000000000e+00 1.106376101861e-03 3.700000000000e+00 1.883829578844e-03 6.300000000000e+00 9.390135894763e-04 3.140297657567e+00 3.588246816846e-04 1.200000000000e+00 6.279431929481e-04 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 2.422066601371e-03 8.100000000000e+00 1.495102840353e-04 5.000000000000e-01 1.196082272282e-04 4.000000000000e-01 8.970617042116e-05 3.000000000000e-01 2.750989226249e-03 9.200000000000e+00 3.498540646425e-03 1.170000000000e+01 8.073555337904e-04 2.700000000000e+00 2.990205680705e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.913731635651e-03 6.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.093143976494e-03 7.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.824025465230e-03 6.100000000000e+00 2.511772771792e-03 8.400000000000e+00 6.877473065622e-04 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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8.190250000000e+03 2.760000000000e+03 1.193973634652e+02 0.000000000000e+00 4.417702448211e+00 3.700000000000e+00 4.895291902072e+00 4.100000000000e+00 5.284064108157e+00 4.425612052731e+00 0.000000000000e+00 0.000000000000e+00 1.193973634652e+00 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.029755178908e+00 1.700000000000e+00 8.357815442561e-01 7.000000000000e-01 9.551789077213e-01 8.000000000000e-01 1.313370998117e+00 1.100000000000e+00 9.551789077213e+00 8.000000000000e+00 8.238418079096e+00 6.900000000000e+00 0.000000000000e+00 0.000000000000e+00 1.552165725047e+00 1.300000000000e+00 2.387947269303e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.802900188324e+01 1.510000000000e+01 2.387947269303e-01 2.000000000000e-01 1.313370998117e+00 1.100000000000e+00 5.253483992467e+00 4.400000000000e+00 2.387947269303e-01 2.000000000000e-01 7.163841807910e+00 6.000000000000e+00 1.432768361582e+00 1.200000000000e+00 1.074576271186e+00 9.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.168546747145e-01 9.787039790755e-02 -1.134425137028e-02 -9.501257851133e-03 3.568913090742e-04 2.989105443508e-04 1.975086241262e-06 1.654212609007e-06 5.38243e+00 4.50800e+00 + 78 JET 2.750000000000e+00 1.113025000000e+04 2.760000000000e+03 2.609433962264e+01 0.000000000000e+00 9.654905660377e-01 3.700000000000e+00 1.409094339623e+00 5.400000000000e+00 1.181630473478e+00 4.528301886792e+00 0.000000000000e+00 0.000000000000e+00 3.392264150943e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 8.089245283019e-01 3.100000000000e+00 1.304716981132e-01 5.000000000000e-01 1.565660377358e-01 6.000000000000e-01 3.131320754717e-01 1.200000000000e+00 2.035358490566e+00 7.800000000000e+00 2.009264150943e+00 7.700000000000e+00 0.000000000000e+00 0.000000000000e+00 4.696981132075e-01 1.800000000000e+00 2.609433962264e-02 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.026943396226e+00 1.160000000000e+01 0.000000000000e+00 0.000000000000e+00 4.436037735849e-01 1.700000000000e+00 9.133018867925e-01 3.500000000000e+00 0.000000000000e+00 0.000000000000e+00 1.356905660377e+00 5.200000000000e+00 5.479811320755e-01 2.100000000000e+00 2.087547169811e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.198979688238e-01 3.200000000000e+00 3.746811525744e-03 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.009088332546e-01 1.070000000000e+01 3.746811525744e-03 1.000000000000e-01 9.741709966934e-02 2.600000000000e+00 1.985810108644e-01 5.300000000000e+00 3.746811525744e-03 1.000000000000e-01 1.873405762872e-01 5.000000000000e+00 1.423788379783e-01 3.800000000000e+00 5.994898441190e-02 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.100000000000e+00 5.737340274491e-03 1.500000000000e+00 9.562233790819e-03 2.500000000000e+00 6.961306199716e-02 1.820000000000e+01 7.994027449124e-02 2.090000000000e+01 0.000000000000e+00 0.000000000000e+00 2.371433980123e-02 6.200000000000e+00 3.824893516327e-04 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.584344533838e-02 1.460000000000e+01 3.824893516327e-04 1.000000000000e-01 2.409682915286e-02 6.300000000000e+00 4.169133932797e-02 1.090000000000e+01 3.824893516327e-04 1.000000000000e-01 2.409682915286e-02 6.300000000000e+00 2.868670137246e-02 7.500000000000e+00 2.333185044960e-02 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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6.459997303579e-04 4.784931336090e+00 0.000000000000e+00 0.000000000000e+00 1.147560397916e-03 8.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.240170535291e-03 2.400000000000e+01 1.093557555661e-03 8.100000000000e+00 1.080056845097e-03 8.000000000000e+00 9.990525817148e-04 7.400000000000e+00 3.915206063477e-03 2.900000000000e+01 5.305779251540e-03 3.930000000000e+01 0.000000000000e+00 0.000000000000e+00 2.200615821885e-03 1.630000000000e+01 1.350071056371e-05 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.036712458550e-03 2.990000000000e+01 0.000000000000e+00 0.000000000000e+00 2.227617243013e-03 1.650000000000e+01 3.064661297963e-03 2.270000000000e+01 0.000000000000e+00 0.000000000000e+00 2.470630033160e-03 1.830000000000e+01 2.835149218380e-03 2.100000000000e+01 1.215063950734e-03 9.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.19522e-03 1.62600e+01 diff --git a/nnpdfcpp/data/commondata/DATA_CMSJETS11_SF.dat b/nnpdfcpp/data/commondata/DATA_CMSJETS11_SF.dat index ef446f1342..e7977e373a 100644 --- a/nnpdfcpp/data/commondata/DATA_CMSJETS11_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_CMSJETS11_SF.dat @@ -1,134 +1,134 @@ -CMSJETS11 24 133 - 1 JET 2.500000000000e-01 1.525225000000e+04 7.000000000000e+03 2.641002685765e+03 3.169203222919e+01 5.810205908684e+01 2.200000000000e+00 2.641002685765e+01 1.000000000000e+00 4.492305374176e+01 1.700984780662e+00 8.715308863026e+01 3.300000000000e+00 7.001148185917e+01 2.650943228362e+00 3.834004643315e+01 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 7.529173967043e+01 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.282005371531e+00 2.000000000000e-01 2.252606545310e+01 8.529361054616e-01 9.243509400179e+01 3.500000000000e+00 3.191135686849e+01 1.208304597359e+00 6.338406445837e+01 2.400000000000e+00 7.469883632947e+00 2.828427124746e-01 7.469883632947e+00 2.828427124746e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 2 JET 2.500000000000e-01 2.044900000000e+04 7.000000000000e+03 1.218314064634e+03 1.831133363678e+01 2.685662266727e+01 2.200000000000e+00 1.220755575785e+01 1.000000000000e+00 1.613290019143e+01 1.321550399723e+00 3.577876111636e+01 2.930870177951e+00 3.296040054620e+01 2.700000000000e+00 1.894139079705e+01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 3.173964497041e+01 2.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.396163069544e-02 1.000000000000e-01 9.584652278177e-02 4.000000000000e-01 4.196707065762e-01 1.751427988814e+00 1.328736699905e-01 5.545268253205e-01 3.594244604317e-01 1.500000000000e+00 1.863777470834e-01 7.778174593052e-01 1.863777470834e-01 7.778174593052e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 9 JET 2.500000000000e-01 9.922500000000e+04 7.000000000000e+03 1.343345857418e+01 9.394026974952e-02 2.952408477842e-01 2.200000000000e+00 1.342003853565e-01 1.000000000000e+00 3.878623854233e-02 2.890173410405e-01 3.020999417918e-01 2.251110836898e+00 4.026011560694e-01 3.000000000000e+00 2.952408477842e-01 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 2.082269370358e-01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.342003853565e-02 1.000000000000e-01 5.368015414258e-02 4.000000000000e-01 2.147206165703e-01 1.600000000000e+00 6.710019267823e-02 5.000000000000e-01 1.878805394990e-01 1.400000000000e+00 1.138728030281e-01 8.485281374239e-01 1.138728030281e-01 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 10 JET 2.500000000000e-01 1.197160000000e+05 7.000000000000e+03 7.574088050314e+00 6.053217223029e-02 1.664634736333e-01 2.200000000000e+00 7.566521528786e-02 1.000000000000e+00 1.902118973065e-02 2.513861839723e-01 1.740299951621e-01 2.300000000000e+00 2.308409189646e-01 3.050819562019e+00 1.740299951621e-01 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134978229318e-01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.566521528786e-03 1.000000000000e-01 3.026608611514e-02 4.000000000000e-01 1.134978229318e-01 1.500000000000e+00 3.783260764393e-02 5.000000000000e-01 1.022880654345e-01 1.351850583460e+00 7.490474156198e-02 9.899494936612e-01 7.490474156198e-02 9.899494936612e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 11 JET 2.500000000000e-01 1.432622500000e+05 7.000000000000e+03 4.357839398350e+00 2.616011644833e-02 9.592042697720e-02 2.200000000000e+00 4.360019408054e-02 1.000000000000e+00 1.099239466774e-02 2.521180214802e-01 9.611840536528e-02 2.204540768505e+00 1.373752103242e-01 3.150793550838e+00 1.046404657933e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 6.104027171276e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.360019408054e-03 1.000000000000e-01 1.308005822416e-02 3.000000000000e-01 6.104027171276e-02 1.400000000000e+00 1.744007763222e-02 4.000000000000e-01 5.668025230471e-02 1.300000000000e+00 4.624498934310e-02 1.060660171780e+00 4.624498934310e-02 1.060660171780e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 12 JET 2.500000000000e-01 1.701562500000e+05 7.000000000000e+03 2.557299270073e+00 1.532846715328e-02 5.620437956204e-02 2.200000000000e+00 2.554744525547e-02 1.000000000000e+00 4.123177141827e-03 1.613929338372e-01 5.875912408759e-02 2.300000000000e+00 8.049472575133e-02 3.150793550838e+00 6.386861313869e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.453632877451e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.554744525547e-03 1.000000000000e-01 7.664233576642e-03 3.000000000000e-01 3.321167883212e-02 1.300000000000e+00 1.021897810219e-02 4.000000000000e-01 3.065693430657e-02 1.200000000000e+00 3.071011202963e-02 1.202081528017e+00 3.071011202963e-02 1.202081528017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 13 JET 2.500000000000e-01 2.016010000000e+05 7.000000000000e+03 1.488408787025e+00 1.038555392875e-02 3.264031234749e-02 2.200000000000e+00 1.483650561249e-02 1.000000000000e+00 2.401518902716e-03 1.618655339363e-01 3.339861856598e-02 2.251110836898e+00 4.823005458693e-02 3.250769139758e+00 3.933073408600e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 2.005673876875e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.483650561249e-03 1.000000000000e-01 4.450951683748e-03 3.000000000000e-01 1.780380673499e-02 1.200000000000e+00 5.934602244998e-03 4.000000000000e-01 1.709420429980e-02 1.152171862180e+00 1.942251024071e-02 1.309102746159e+00 1.942251024071e-02 1.309102746159e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 14 JET 2.500000000000e-01 2.376562500000e+05 7.000000000000e+03 8.554523227384e-01 6.843618581907e-03 1.881995110024e-02 2.200000000000e+00 8.554523227384e-03 1.000000000000e+00 1.387390895140e-03 1.621821413377e-01 1.925717994166e-02 2.251110836898e+00 2.866403607338e-02 3.350746185553e+00 2.353271442960e-02 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 1.112088019560e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.554523227384e-04 1.000000000000e-01 2.566356968215e-03 3.000000000000e-01 9.409975550122e-03 1.100000000000e+00 3.054575768433e-03 3.570714214271e-01 9.409975550122e-03 1.100000000000e+00 1.209792276780e-02 1.414213562373e+00 1.209792276780e-02 1.414213562373e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 15 JET 2.500000000000e-01 2.782562500000e+05 7.000000000000e+03 5.072870588235e-01 2.025098039216e-03 1.113803921569e-02 2.200000000000e+00 5.062745098039e-03 1.000000000000e+00 4.963475586313e-04 9.803921568627e-02 1.164431372549e-02 2.300000000000e+00 1.747013885890e-02 3.450724561596e+00 1.468196078431e-02 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 6.581568627451e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.062745098039e-04 1.000000000000e-01 1.315339760336e-03 2.598076211353e-01 5.327922871997e-03 1.052378258992e+00 1.518823529412e-03 3.000000000000e-01 5.327922871997e-03 1.052378258992e+00 7.875783058533e-03 1.555634918610e+00 7.875783058533e-03 1.555634918610e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 16 JET 2.500000000000e-01 3.249000000000e+05 7.000000000000e+03 3.028135493373e-01 1.511045655376e-03 6.648600883652e-03 2.200000000000e+00 3.022091310751e-03 1.000000000000e+00 2.569668971690e-04 8.502949472600e-02 6.803062499727e-03 2.251110836898e+00 1.073055217543e-02 3.550704155516e+00 9.219855289048e-03 3.050819562019e+00 0.000000000000e+00 0.000000000000e+00 3.783653493435e-03 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.022091310751e-04 1.000000000000e-01 6.044182621502e-04 2.000000000000e-01 3.022091310751e-03 1.000000000000e+00 9.066273932253e-04 3.000000000000e-01 3.022091310751e-03 1.000000000000e+00 5.128659022073e-03 1.697056274848e+00 5.128659022073e-03 1.697056274848e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 17 JET 2.500000000000e-01 3.782250000000e+05 7.000000000000e+03 1.783767522498e-01 8.903638151426e-04 3.917600786627e-03 2.200000000000e+00 1.780727630285e-03 1.000000000000e+00 1.750961288383e-04 9.832841691249e-02 4.095673549656e-03 2.300000000000e+00 6.410619469027e-03 3.600000000000e+00 5.610705133301e-03 3.150793550838e+00 0.000000000000e+00 0.000000000000e+00 2.229468148502e-03 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.780727630285e-04 1.000000000000e-01 3.561455260570e-04 2.000000000000e-01 1.602654867257e-03 9.000000000000e-01 5.342182890855e-04 3.000000000000e-01 1.780727630285e-03 1.000000000000e+00 3.337973824223e-03 1.874499933316e+00 3.337973824223e-03 1.874499933316e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 18 JET 2.500000000000e-01 4.382440000000e+05 7.000000000000e+03 1.059941341884e-01 7.403249630724e-04 2.326735598227e-03 2.200000000000e+00 1.057607090103e-03 1.000000000000e+00 9.019346206324e-05 8.528068968829e-02 2.432496307238e-03 2.300000000000e+00 3.913146233383e-03 3.700000000000e+00 3.493306797187e-03 3.303028912983e+00 0.000000000000e+00 0.000000000000e+00 1.269128508124e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.057607090103e-04 1.000000000000e-01 2.115214180207e-04 2.000000000000e-01 9.020712725414e-04 8.529361054616e-01 2.747743821756e-04 2.598076211353e-01 1.007506067977e-03 9.526279441629e-01 2.132003164024e-03 2.015874500062e+00 2.132003164024e-03 2.015874500062e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 19 JET 2.500000000000e-01 5.062322500000e+05 7.000000000000e+03 6.297490389354e-02 5.040512567767e-04 1.386140956136e-03 2.200000000000e+00 6.300640709709e-04 1.000000000000e+00 5.378526283614e-05 8.536475148195e-02 1.418344058103e-03 2.251110836898e+00 2.394243469690e-03 3.800000000000e+00 2.174177565078e-03 3.450724561596e+00 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2.200000000000e+00 9.442345924453e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.258293500059e-06 3.450724561596e+00 5.314623376051e-06 5.628498911788e+00 5.220686638507e-06 5.529014378712e+00 0.000000000000e+00 0.000000000000e+00 1.516665332620e-06 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.442345924453e-08 1.000000000000e-01 4.301193268802e-07 4.555216789572e-01 1.565835928608e-07 1.658312395178e-01 5.665407554672e-07 6.000000000000e-01 4.607922857976e-06 4.880061475023e+00 4.607922857976e-06 4.880061475023e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 31 JET 2.500000000000e-01 2.379306250000e+06 7.000000000000e+03 4.303357713624e-05 9.351178518150e-06 9.480457483839e-07 2.200000000000e+00 4.309298856290e-07 1.000000000000e+00 3.711548763846e-08 8.612883180353e-02 1.638667199009e-06 3.802630668366e+00 2.543125335841e-06 5.901482864501e+00 2.450150007240e-06 5.685727745856e+00 0.000000000000e+00 0.000000000000e+00 7.168865442408e-07 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.309298856290e-08 1.000000000000e-01 1.723719542516e-07 4.000000000000e-01 4.309298856290e-08 1.000000000000e-01 2.585579313774e-07 6.000000000000e-01 2.240576418018e-06 5.199399003731e+00 2.240576418018e-06 5.199399003731e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 32 JET 2.500000000000e-01 2.842596000000e+06 7.000000000000e+03 1.615864067860e-05 4.581502487562e-06 3.561592039801e-07 2.200000000000e+00 1.618905472637e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.976336863836e-07 4.309292285283e+00 1.022701168927e-06 6.317238320659e+00 9.874991634588e-07 6.099795078525e+00 0.000000000000e+00 0.000000000000e+00 2.853823171275e-07 1.762810256380e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.618905472637e-08 1.000000000000e-01 6.475621890547e-08 4.000000000000e-01 1.618905472637e-08 1.000000000000e-01 8.977265122352e-08 5.545268253205e-01 9.332782945496e-07 5.764872071434e+00 9.332782945496e-07 5.764872071434e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 33 JET 2.500000000000e-01 3.802500000000e+06 7.000000000000e+03 2.041402650286e-06 1.482495019920e-06 4.498605577689e-08 2.200000000000e+00 2.044820717131e-08 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.155414180429e-07 5.650442460551e+00 1.447460110418e-07 7.078665128398e+00 1.384903799078e-07 6.772739475279e+00 0.000000000000e+00 0.000000000000e+00 3.927972328521e-08 1.920937271230e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.044820717131e-09 1.000000000000e-01 7.301470400298e-09 3.570714214271e-01 2.044820717131e-09 1.000000000000e-01 1.022410358566e-08 5.000000000000e-01 1.374219933547e-07 6.720491053487e+00 1.374219933547e-07 6.720491053487e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 34 JET 7.500000000000e-01 1.525225000000e+04 7.000000000000e+03 2.513356977529e+03 3.024215246637e+01 5.544394618834e+01 2.200000000000e+00 2.520179372197e+01 1.000000000000e+00 4.294476060247e+01 1.704035874439e+00 8.192521329793e+01 3.250769139758e+00 6.562152206507e+01 2.603843313258e+00 3.406905954728e+01 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 7.184721554317e+01 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.182539358416e+00 8.660254037844e-02 2.520179372197e+00 1.000000000000e-01 1.898516541571e+01 7.533259586660e-01 8.316591928251e+01 3.300000000000e+00 3.910340719660e+01 1.551612064918e+00 6.048430493274e+01 2.400000000000e+00 6.363141003766e+00 2.524876234591e-01 0.000000000000e+00 0.000000000000e+00 6.363141003766e+00 2.524876234591e-01 0.000000000000e+00 0.000000000000e+00 - 35 JET 7.500000000000e-01 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5.810205908684e+01 2.200000000000e+00 2.641002685765e+01 1.000000000000e+00 4.492305374176e+01 1.700984780662e+00 8.715308863026e+01 3.300000000000e+00 7.001148185917e+01 2.650943228362e+00 3.834004643315e+01 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 7.529173967043e+01 2.850877058030e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.282005371531e+00 2.000000000000e-01 2.252606545310e+01 8.529361054616e-01 9.243509400179e+01 3.500000000000e+00 3.191135686849e+01 1.208304597359e+00 6.338406445837e+01 2.400000000000e+00 7.469883632947e+00 2.828427124746e-01 7.469883632947e+00 2.828427124746e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.585555 + 2 JET 2.500000000000e-01 2.044900000000e+04 7.000000000000e+03 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1.000000000000e-01 7.664233576642e-03 3.000000000000e-01 3.321167883212e-02 1.300000000000e+00 1.021897810219e-02 4.000000000000e-01 3.065693430657e-02 1.200000000000e+00 3.071011202963e-02 1.202081528017e+00 3.071011202963e-02 1.202081528017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.565435 + 13 JET 2.500000000000e-01 2.016010000000e+05 7.000000000000e+03 1.488408787025e+00 1.038555392875e-02 3.264031234749e-02 2.200000000000e+00 1.483650561249e-02 1.000000000000e+00 2.401518902716e-03 1.618655339363e-01 3.339861856598e-02 2.251110836898e+00 4.823005458693e-02 3.250769139758e+00 3.933073408600e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 2.005673876875e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.419545903258e-05 2.000000000000e-01 2.794668265219e-04 7.533259586660e-01 9.638272855149e-05 2.598076211353e-01 3.164199293509e-04 8.529361054616e-01 8.789696194173e-04 2.369335349840e+00 8.789696194173e-04 2.369335349840e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.648053 + 21 JET 2.500000000000e-01 6.691240000000e+05 7.000000000000e+03 2.192471582530e-02 2.845355731225e-04 4.815217391304e-04 2.200000000000e+00 2.188735177866e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.364634124109e-04 2.451020195755e+00 8.865728438507e-04 4.050617236916e+00 8.220878838910e-04 3.755995207665e+00 0.000000000000e+00 0.000000000000e+00 2.845355731225e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.377470355731e-05 2.000000000000e-01 1.532114624506e-04 7.000000000000e-01 4.377470355731e-05 2.000000000000e-01 1.866851258495e-04 8.529361054616e-01 5.650053573842e-04 2.581424025611e+00 5.650053573842e-04 2.581424025611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.691973 + 22 JET 2.500000000000e-01 7.665002500000e+05 7.000000000000e+03 1.296320576436e-02 2.201088031652e-04 2.848466864491e-04 2.200000000000e+00 1.294757665678e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.107418397626e-04 2.400000000000e+00 5.374024230457e-04 4.150602365922e+00 5.052873696958e-04 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 1.683184965381e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.589515331355e-05 2.000000000000e-01 9.063303659743e-05 7.000000000000e-01 2.589515331355e-05 2.000000000000e-01 1.035806132542e-04 8.000000000000e-01 3.616930509476e-04 2.793519285776e+00 3.616930509476e-04 2.793519285776e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.631477 + 23 JET 2.500000000000e-01 8.760960000000e+05 7.000000000000e+03 7.458008529275e-03 1.637148514851e-04 1.637148514851e-04 2.200000000000e+00 7.441584158416e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.863370295763e-04 2.503996805110e+00 3.237516757913e-04 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6.400000000000e+00 3.992861690067e-05 2.475378758897e+00 3.236086741805e-04 2.006215342380e+01 7.907141164588e-05 4.902040391510e+00 4.190776435687e-06 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 4.190776435687e-06 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 3.716976945316e-05 2.304343724361e+00 1.396925478562e-06 8.660254037844e-02 1.469540816221e-05 9.110433579144e-01 2.903455083909e-05 1.800000000000e+00 1.215137824739e-05 7.533259586660e-01 3.234116301038e-05 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 2.83688 + 131 JET 2.250000000000e+00 3.782250000000e+05 7.000000000000e+03 3.261751976285e-04 4.185009881423e-05 7.028260869565e-06 2.200000000000e+00 3.194664031621e-06 1.000000000000e+00 6.313565279883e-07 1.976284584980e-01 1.438308564366e-05 4.502221673796e+00 2.861454349281e-05 8.956980518009e+00 2.397701239160e-05 7.505331438384e+00 2.332104743083e-05 7.300000000000e+00 7.908003485687e-06 2.475378758897e+00 6.718884299238e-05 2.103158339260e+01 1.661839541351e-05 5.201922721456e+00 8.299980623819e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 8.299980623819e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 7.680493241264e-06 2.404163056034e+00 5.533320415880e-07 1.732050807569e-01 2.910477446776e-06 9.110433579144e-01 5.430928853755e-06 1.700000000000e+00 2.088782650860e-06 6.538348415311e-01 6.405281466510e-06 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 + 132 JET 2.250000000000e+00 4.382440000000e+05 7.000000000000e+03 9.262206231454e-05 2.275882294758e-05 1.994797230465e-06 2.200000000000e+00 9.067260138477e-07 1.000000000000e+00 1.793721095643e-07 1.978239366963e-01 5.169928781594e-06 5.701754116059e+00 8.803651236334e-06 9.709273917240e+00 7.396767164887e-06 8.157665107125e+00 7.435153313551e-06 8.200000000000e+00 2.299225472356e-06 2.535744466621e+00 1.989571559317e-05 2.194236769357e+01 5.079284573070e-06 5.601785429664e+00 2.355743286793e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 2.355743286793e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 2.360972468115e-06 2.603843313258e+00 1.570495524529e-07 1.732050807569e-01 7.733793549720e-07 8.529361054616e-01 1.541434223541e-06 1.700000000000e+00 5.440356083086e-07 6.000000000000e-01 1.727545076981e-06 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 + 133 JET 2.250000000000e+00 6.328202500000e+05 7.000000000000e+03 8.112404561230e-06 3.416162617749e-06 1.727714427367e-07 2.200000000000e+00 7.853247397124e-08 1.000000000000e+00 1.291337382355e-08 1.644335543062e-01 6.798730942288e-07 8.657222418305e+00 9.476351289754e-07 1.206679327742e+01 7.708993415101e-07 9.816312953446e+00 8.560039662866e-07 1.090000000000e+01 2.064000156262e-07 2.628212320190e+00 1.939302957440e-06 2.469428071437e+01 5.184333031523e-07 6.601514977640e+00 1.923644894680e-08 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 1.923644894680e-08 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 2.358590515578e-07 3.003331483536e+00 2.720444699246e-08 3.464101615138e-01 5.916055124080e-08 7.533259586660e-01 1.177987109569e-07 1.500000000000e+00 3.577324439605e-08 4.555216789572e-01 1.496244584585e-07 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 diff --git a/nnpdfcpp/data/commondata/DATA_POSF2DW.dat b/nnpdfcpp/data/commondata/DATA_POSF2DW.dat index 6ba6e09287..c737685223 100644 --- a/nnpdfcpp/data/commondata/DATA_POSF2DW.dat +++ b/nnpdfcpp/data/commondata/DATA_POSF2DW.dat @@ -1,21 +1,21 @@ POSF2DW 0 20 - 1 DIS_F2d 5.000000000000000e-07 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 2 DIS_F2d 1.940766723678214e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 3 DIS_F2d 7.533150951473337e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 4 DIS_F2d 2.924017738212866e-05 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 5 DIS_F2d 1.134967265153673e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 6 DIS_F2d 4.405413401348635e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 7 DIS_F2d 1.709975946676696e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 8 DIS_F2d 6.637328831200572e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 9 DIS_F2d 2.576301385940815e-02 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 10 DIS_F2d 1.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 11 DIS_F2d 1.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 12 DIS_F2d 2.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 13 DIS_F2d 3.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 14 DIS_F2d 4.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 15 DIS_F2d 5.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 16 DIS_F2d 5.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 17 DIS_F2d 6.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 18 DIS_F2d 7.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 19 DIS_F2d 8.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 20 DIS_F2d 9.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 + 1 DIS_F2d 5.000000000000e-07 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 DIS_F2d 1.940766723678e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 3 DIS_F2d 7.533150951473e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 DIS_F2d 2.924017738213e-05 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 DIS_F2d 1.134967265154e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 DIS_F2d 4.405413401349e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 DIS_F2d 1.709975946677e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 DIS_F2d 6.637328831201e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 DIS_F2d 2.576301385941e-02 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 DIS_F2d 1.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 DIS_F2d 1.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 DIS_F2d 2.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 DIS_F2d 3.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 DIS_F2d 4.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 DIS_F2d 5.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 DIS_F2d 5.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 DIS_F2d 6.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 DIS_F2d 7.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 DIS_F2d 8.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 DIS_F2d 9.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_POSF2S.dat b/nnpdfcpp/data/commondata/DATA_POSF2S.dat index e4daf973d9..4b749fb9e8 100644 --- a/nnpdfcpp/data/commondata/DATA_POSF2S.dat +++ b/nnpdfcpp/data/commondata/DATA_POSF2S.dat @@ -1,21 +1,21 @@ POSF2S 0 20 - 1 DIS_F2S 5.000000000000000e-07 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 2 DIS_F2S 1.940766723678214e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 3 DIS_F2S 7.533150951473337e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 4 DIS_F2S 2.924017738212866e-05 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 5 DIS_F2S 1.134967265153673e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 6 DIS_F2S 4.405413401348635e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 7 DIS_F2S 1.709975946676696e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 8 DIS_F2S 6.637328831200572e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 9 DIS_F2S 2.576301385940815e-02 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 10 DIS_F2S 1.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 11 DIS_F2S 1.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 12 DIS_F2S 2.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 13 DIS_F2S 3.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 14 DIS_F2S 4.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 15 DIS_F2S 5.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 16 DIS_F2S 5.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 17 DIS_F2S 6.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 18 DIS_F2S 7.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 19 DIS_F2S 8.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 20 DIS_F2S 9.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 + 1 DIS_F2S 5.000000000000e-07 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 DIS_F2S 1.940766723678e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 3 DIS_F2S 7.533150951473e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 DIS_F2S 2.924017738213e-05 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 DIS_F2S 1.134967265154e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 DIS_F2S 4.405413401349e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 DIS_F2S 1.709975946677e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 DIS_F2S 6.637328831201e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 DIS_F2S 2.576301385941e-02 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 DIS_F2S 1.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 DIS_F2S 1.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 DIS_F2S 2.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 DIS_F2S 3.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 DIS_F2S 4.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 DIS_F2S 5.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 DIS_F2S 5.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 DIS_F2S 6.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 DIS_F2S 7.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 DIS_F2S 8.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 DIS_F2S 9.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_POSF2U.dat b/nnpdfcpp/data/commondata/DATA_POSF2U.dat index 57090ca639..9ad2510810 100644 --- a/nnpdfcpp/data/commondata/DATA_POSF2U.dat +++ b/nnpdfcpp/data/commondata/DATA_POSF2U.dat @@ -1,21 +1,21 @@ POSF2U 0 20 - 1 DIS_F2U 5.000000000000000e-07 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 2 DIS_F2U 1.940766723678214e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 3 DIS_F2U 7.533150951473337e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 4 DIS_F2U 2.924017738212866e-05 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 5 DIS_F2U 1.134967265153673e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 6 DIS_F2U 4.405413401348635e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 7 DIS_F2U 1.709975946676696e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 8 DIS_F2U 6.637328831200572e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 9 DIS_F2U 2.576301385940815e-02 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 10 DIS_F2U 1.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 11 DIS_F2U 1.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 12 DIS_F2U 2.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 13 DIS_F2U 3.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 14 DIS_F2U 4.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 15 DIS_F2U 5.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 16 DIS_F2U 5.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 17 DIS_F2U 6.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 18 DIS_F2U 7.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 19 DIS_F2U 8.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 20 DIS_F2U 9.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 + 1 DIS_F2U 5.000000000000e-07 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 DIS_F2U 1.940766723678e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 3 DIS_F2U 7.533150951473e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 DIS_F2U 2.924017738213e-05 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 DIS_F2U 1.134967265154e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 DIS_F2U 4.405413401349e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 DIS_F2U 1.709975946677e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 DIS_F2U 6.637328831201e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 DIS_F2U 2.576301385941e-02 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 DIS_F2U 1.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 DIS_F2U 1.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 DIS_F2U 2.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 DIS_F2U 3.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 DIS_F2U 4.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 DIS_F2U 5.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 DIS_F2U 5.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 DIS_F2U 6.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 DIS_F2U 7.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 DIS_F2U 8.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 DIS_F2U 9.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_POSFLL.dat b/nnpdfcpp/data/commondata/DATA_POSFLL.dat index 4460686730..8201faf114 100644 --- a/nnpdfcpp/data/commondata/DATA_POSFLL.dat +++ b/nnpdfcpp/data/commondata/DATA_POSFLL.dat @@ -1,21 +1,21 @@ POSFLL 0 20 - 1 DIS_FLL 5.000000000000000e-07 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 2 DIS_FLL 1.940766723678214e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 3 DIS_FLL 7.533150951473337e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 4 DIS_FLL 2.924017738212866e-05 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 5 DIS_FLL 1.134967265153673e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 6 DIS_FLL 4.405413401348635e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 7 DIS_FLL 1.709975946676696e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 8 DIS_FLL 6.637328831200572e-03 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 9 DIS_FLL 2.576301385940815e-02 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 10 DIS_FLL 1.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 11 DIS_FLL 1.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 12 DIS_FLL 2.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 13 DIS_FLL 3.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 14 DIS_FLL 4.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 15 DIS_FLL 5.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 16 DIS_FLL 5.800000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 17 DIS_FLL 6.600000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 18 DIS_FLL 7.400000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 19 DIS_FLL 8.200000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 20 DIS_FLL 9.000000000000000e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 + 1 DIS_FLL 5.000000000000e-07 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 DIS_FLL 1.940766723678e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 3 DIS_FLL 7.533150951473e-06 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 DIS_FLL 2.924017738213e-05 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 DIS_FLL 1.134967265154e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 6 DIS_FLL 4.405413401349e-04 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 7 DIS_FLL 1.709975946677e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 8 DIS_FLL 6.637328831201e-03 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 9 DIS_FLL 2.576301385941e-02 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 10 DIS_FLL 1.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 11 DIS_FLL 1.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 12 DIS_FLL 2.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 13 DIS_FLL 3.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 14 DIS_FLL 4.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 15 DIS_FLL 5.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 16 DIS_FLL 5.800000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 17 DIS_FLL 6.600000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 18 DIS_FLL 7.400000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 19 DIS_FLL 8.200000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 20 DIS_FLL 9.000000000000e-01 5.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 From e6a624e86698f8634dd03406a9f8bda7a230cadc Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sun, 24 Mar 2019 15:44:58 +0100 Subject: [PATCH 204/429] Added missing systype default files --- .../systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat | 3 ++- .../systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat | 3 ++- .../data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat | 3 ++- .../commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat | 3 ++- 4 files changed, 8 insertions(+), 4 deletions(-) diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat index 6fea947c3d..f19f892885 100644 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS2P76TEV_SF_DEFAULT.dat @@ -1,4 +1,4 @@ -90 +91 1 MULT CORR 2 MULT CORR 3 MULT UNCORR @@ -89,3 +89,4 @@ 88 MULT CORR 89 MULT CORR 90 MULT CORR +91 MULT SKIP \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat index 3df2200260..38afd7dfe9 100644 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR04JETS36PB_SF_DEFAULT.dat @@ -1,4 +1,4 @@ -91 +92 1 MULT ATLASLUMI10 2 MULT CORR 3 MULT UNCORR @@ -90,3 +90,4 @@ 89 MULT CORR 90 MULT CORR 91 MULT CORR +92 MULT SKIP diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat index ea30499eae..69e99d14fc 100644 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFR2KT_SF_DEFAULT.dat @@ -1,4 +1,4 @@ -25 +26 1 MULT CDFLUMI 2 MULT CORR 3 MULT CORR @@ -24,3 +24,4 @@ 23 MULT CORR 24 MULT CORR 25 MULT CORR +26 MULT SKIP diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat index 2790c86312..df25e510de 100644 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS1JET276TEV_SF_DEFAULT.dat @@ -1,4 +1,4 @@ -106 +107 1 MULT CMS2P76LUMI 2 MULT UNCORR 3 MULT CORR @@ -105,3 +105,4 @@ 104 ADD CORR 105 ADD CORR 106 ADD CORR +107 ADD SKIP From 64cb69d15c79208e373bb8ea8c03838bb8fb9b63 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sun, 24 Mar 2019 15:47:43 +0100 Subject: [PATCH 205/429] Added missing CMS single top 5 TeV data --- nnpdfcpp/data/commondata/DATA_CMSTTBARTOT5TEV.dat | 2 ++ .../commondata/systypes/SYSTYPE_CMSTTBARTOT5TEV_DEFAULT.dat | 3 +++ 2 files changed, 5 insertions(+) create mode 100644 nnpdfcpp/data/commondata/DATA_CMSTTBARTOT5TEV.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT5TEV_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT5TEV.dat b/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT5TEV.dat new file mode 100644 index 0000000000..c021ba9985 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT5TEV.dat @@ -0,0 +1,2 @@ +CMSTTBARTOT5TEV 2 1 + 1 INC 0.000000000000e+00 2.975625000000e+04 5.020000000000e+03 6.950000000000e+01 6.100000000000e+00 5.600000000000e+00 8.057553956835e+00 1.600000000000e+00 2.302158273381e+00 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT5TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT5TEV_DEFAULT.dat new file mode 100644 index 0000000000..3e83182de3 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT5TEV_DEFAULT.dat @@ -0,0 +1,3 @@ +2 +1 MULT UNCORR +2 MULT CMSLUMI5 From 76b6120dbd044cb2e1107b8610bd51e3c07eb337 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sun, 24 Mar 2019 16:05:51 +0100 Subject: [PATCH 206/429] Added missing files for ATLAS and CMS jets --- .../data/commondata/DATA_ATLAS1JET11_SF.dat | 282 +++++++++--------- .../data/commondata/DATA_CMSJETS11_SF.dat | 268 ++++++++--------- .../SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat | 4 +- .../systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat | 4 +- 4 files changed, 281 insertions(+), 277 deletions(-) diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat index 308818a162..57e27ff47b 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS1JET11_SF.dat @@ -1,141 +1,141 @@ -ATLAS1JET11 405 140 - 1 JET 2.500000000000e-01 1.166400000000e+04 7.000000000000e+03 5.344908800000e+03 4.855532411012e+01 6.992744183040e+01 1.308300000000e+00 0.000000000000e+00 0.000000000000e+00 2.242189241600e+01 4.195000000000e-01 2.773473176320e+01 5.189000000000e-01 3.138637345536e+02 5.872200000000e+00 1.615177990272e+02 3.021900000000e+00 2.447968230400e+00 4.580000000000e-02 2.357104780800e+00 4.410000000000e-02 4.382825216000e+00 8.200000000000e-02 4.185063590400e+00 7.830000000000e-02 6.376476198400e+00 1.193000000000e-01 1.494970991360e+01 2.797000000000e-01 2.291896893440e+01 4.288000000000e-01 2.924734095360e+01 5.472000000000e-01 1.484815664640e+01 2.778000000000e-01 -2.886250752000e-01 -5.400000000000e-03 -9.353590400000e-01 -1.750000000000e-02 8.605303168000e-01 1.610000000000e-02 1.443125376000e+00 2.700000000000e-02 4.917316096000e+00 9.200000000000e-02 3.217635097600e+00 6.020000000000e-02 3.377982361600e+00 6.320000000000e-02 -2.832801664000e-01 -5.300000000000e-03 -4.329376128000e-01 -8.100000000000e-03 -6.948381440000e-02 -1.300000000000e-03 1.068981760000e-02 2.000000000000e-04 5.344908800000e-03 1.000000000000e-04 1.068981760000e-02 2.000000000000e-04 5.344908800000e-03 1.000000000000e-04 3.206945280000e-02 6.000000000000e-04 8.017363200000e-02 1.500000000000e-03 -2.137963520000e-02 -4.000000000000e-04 -5.344908800000e-03 -1.000000000000e-04 -0.000000000000e+00 -0.000000000000e+00 -1.603472640000e-02 -3.000000000000e-04 5.344908800000e-03 1.000000000000e-04 5.344908800000e-03 1.000000000000e-04 -0.000000000000e+00 -0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 -2.832801664000e-01 -5.300000000000e-03 -5.451806976000e-01 -1.020000000000e-02 -1.496574464000e-01 -2.800000000000e-03 -2.832801664000e-01 -5.300000000000e-03 -1.068981760000e-01 -2.000000000000e-03 -3.206945280000e-01 -6.000000000000e-03 -2.672454400000e-01 -5.000000000000e-03 -4.650070656000e-01 -8.700000000000e-03 3.893766060800e+01 7.285000000000e-01 1.803372229120e+01 3.374000000000e-01 5.403702796800e+00 1.011000000000e-01 2.651074764800e+01 4.960000000000e-01 3.916214677760e+01 7.327000000000e-01 5.972401093120e+01 1.117400000000e+00 -7.000761546240e+01 -1.309800000000e+00 -4.761779249920e+01 -8.909000000000e-01 -1.433504540160e+02 -2.682000000000e+00 0.000000000000e+00 0.000000000000e+00 5.201130753280e+01 9.731000000000e-01 2.506762227200e+00 4.690000000000e-02 2.178050336000e+01 4.075000000000e-01 1.009599823232e+02 1.888900000000e+00 -1.389676288000e+00 -2.600000000000e-02 4.671450291200e+00 8.740000000000e-02 1.636397278208e+02 3.061600000000e+00 2.677799308800e+00 5.010000000000e-02 7.942534476800e+00 1.486000000000e-01 2.672454400000e+01 5.000000000000e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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3.602776706930e+00 0.000000000000e+00 0.000000000000e+00 4.644629809281e-04 1.251998402555e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.419545903258e-05 2.000000000000e-01 2.794668265219e-04 7.533259586660e-01 9.638272855149e-05 2.598076211353e-01 3.164199293509e-04 8.529361054616e-01 8.789696194173e-04 2.369335349840e+00 8.789696194173e-04 2.369335349840e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.648053 - 21 JET 2.500000000000e-01 6.691240000000e+05 7.000000000000e+03 2.192471582530e-02 2.845355731225e-04 4.815217391304e-04 2.200000000000e+00 2.188735177866e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.364634124109e-04 2.451020195755e+00 8.865728438507e-04 4.050617236916e+00 8.220878838910e-04 3.755995207665e+00 0.000000000000e+00 0.000000000000e+00 2.845355731225e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.377470355731e-05 2.000000000000e-01 1.532114624506e-04 7.000000000000e-01 4.377470355731e-05 2.000000000000e-01 1.866851258495e-04 8.529361054616e-01 5.650053573842e-04 2.581424025611e+00 5.650053573842e-04 2.581424025611e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.691973 - 22 JET 2.500000000000e-01 7.665002500000e+05 7.000000000000e+03 1.296320576436e-02 2.201088031652e-04 2.848466864491e-04 2.200000000000e+00 1.294757665678e-04 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.107418397626e-04 2.400000000000e+00 5.374024230457e-04 4.150602365922e+00 5.052873696958e-04 3.902563260218e+00 0.000000000000e+00 0.000000000000e+00 1.683184965381e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.589515331355e-05 2.000000000000e-01 9.063303659743e-05 7.000000000000e-01 2.589515331355e-05 2.000000000000e-01 1.035806132542e-04 8.000000000000e-01 3.616930509476e-04 2.793519285776e+00 3.616930509476e-04 2.793519285776e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.631477 - 23 JET 2.500000000000e-01 8.760960000000e+05 7.000000000000e+03 7.458008529275e-03 1.637148514851e-04 1.637148514851e-04 2.200000000000e+00 7.441584158416e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.863370295763e-04 2.503996805110e+00 3.237516757913e-04 4.350574674684e+00 3.017972965925e-04 4.055551750379e+00 0.000000000000e+00 0.000000000000e+00 9.674059405941e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.234047124966e-05 1.658312395178e-01 4.865566998958e-05 6.538348415311e-01 1.488316831683e-05 2.000000000000e-01 5.605938520132e-05 7.533259586660e-01 2.236657221682e-04 3.005619736427e+00 2.236657221682e-04 3.005619736427e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.605142 - 24 JET 2.500000000000e-01 9.990002500000e+05 7.000000000000e+03 4.174406553461e-03 1.209722497522e-04 9.177205153617e-05 2.200000000000e+00 4.171456888008e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.044531472023e-04 2.503996805110e+00 1.878082361250e-04 4.502221673796e+00 1.775076221981e-04 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 5.639186427930e-05 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.917578663333e-06 1.658312395178e-01 2.502874132805e-05 6.000000000000e-01 8.342913776016e-06 2.000000000000e-01 3.142466759192e-05 7.533259586660e-01 1.342259840833e-04 3.217724351153e+00 1.342259840833e-04 3.217724351153e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.684683 - 25 JET 2.500000000000e-01 1.137422250000e+06 7.000000000000e+03 2.307679516669e-03 8.752428146680e-05 5.067195242815e-05 2.200000000000e+00 2.303270564916e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.105839507150e-05 2.650943228362e+00 1.072134719188e-04 4.654836194755e+00 1.028185243014e-04 4.464022849404e+00 0.000000000000e+00 0.000000000000e+00 3.113677657047e-05 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.819542127248e-06 1.658312395178e-01 1.381962338949e-05 6.000000000000e-01 4.606541129832e-06 2.000000000000e-01 1.612289395441e-05 7.000000000000e-01 7.983748453697e-05 3.466266002487e+00 7.983748453697e-05 3.466266002487e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.665805 - 26 JET 2.500000000000e-01 1.291632250000e+06 7.000000000000e+03 1.458371765736e-03 6.849503968254e-05 3.206150793651e-05 2.200000000000e+00 1.457341269841e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.934821428571e-05 2.700000000000e+00 7.007372081973e-05 4.808326112069e+00 6.796196597074e-05 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 2.115656006554e-05 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.457341269841e-06 1.000000000000e-01 8.081348277736e-06 5.545268253205e-01 2.416727091782e-06 1.658312395178e-01 1.020138888889e-05 7.000000000000e-01 5.410594135719e-05 3.712647303475e+00 5.410594135719e-05 3.712647303475e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.674 - 27 JET 2.500000000000e-01 1.464100000000e+06 7.000000000000e+03 7.976516348082e-04 5.020615384615e-05 1.753230769231e-05 2.200000000000e+00 7.969230769231e-06 1.000000000000e+00 6.850179945186e-07 8.595785645504e-02 2.271929717014e-05 2.850877058030e+00 3.990985677067e-05 5.007993610220e+00 3.875332943131e-05 4.862869523234e+00 0.000000000000e+00 0.000000000000e+00 1.156911650926e-05 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.969230769231e-07 1.000000000000e-01 3.984615384615e-06 5.000000000000e-01 1.321547416465e-06 1.658312395178e-01 5.210560737125e-06 6.538348415311e-01 3.156660492903e-05 3.961060464068e+00 3.156660492903e-05 3.961060464068e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.670024 - 28 JET 2.500000000000e-01 1.657656250000e+06 7.000000000000e+03 3.358888238386e-04 3.088897715988e-05 7.386494538232e-06 2.200000000000e+00 3.357497517378e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.007249255214e-05 3.000000000000e+00 1.751700123725e-05 5.217278984298e+00 1.684781414915e-05 5.017967716118e+00 0.000000000000e+00 0.000000000000e+00 5.058580071995e-06 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.357497517378e-07 1.000000000000e-01 1.678748758689e-06 5.000000000000e-01 5.567779749847e-07 1.658312395178e-01 2.195248857216e-06 6.538348415311e-01 1.424861187349e-05 4.243819034785e+00 1.424861187349e-05 4.243819034785e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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7.000000000000e+03 5.898844946931e+02 9.452330410706e+00 1.299695431472e+01 2.200000000000e+00 5.907706506691e+00 1.000000000000e+00 6.282134939575e+00 1.063379660526e+00 1.566099455907e+01 2.650943228362e+00 1.625156264826e+01 2.750908940696e+00 9.756662700509e+00 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 1.388939366298e+01 2.351063589102e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.181541301338e+00 2.000000000000e-01 3.862664347615e+00 6.538348415311e-01 1.654157821874e+01 2.800000000000e+00 5.627846304187e+00 9.526279441629e-01 1.211800071719e+01 2.051219149677e+00 2.506427599285e+00 4.242640687119e-01 2.506427599285e+00 4.242640687119e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.593361 0 0.593361 + 4 JET 2.500000000000e-01 3.422500000000e+04 7.000000000000e+03 2.906303171642e+02 2.614365671642e+00 6.390671641791e+00 2.200000000000e+00 2.904850746269e+00 1.000000000000e+00 2.438773947427e+00 8.395522388060e-01 7.700594415224e+00 2.650943228362e+00 8.133582089552e+00 2.800000000000e+00 5.087636900341e+00 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 6.390671641791e+00 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.809701492537e-01 2.000000000000e-01 1.742910447761e+00 6.000000000000e-01 7.262126865672e+00 2.500000000000e+00 2.477652082470e+00 8.529361054616e-01 5.519216417910e+00 1.900000000000e+00 1.437827762715e+00 4.949747468306e-01 1.437827762715e+00 4.949747468306e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.592563 0 0.592563 + 6 JET 2.500000000000e-01 5.405625000000e+04 7.000000000000e+03 8.106928909953e+01 8.904265402844e-01 1.780853080569e+00 2.200000000000e+00 8.094786729858e-01 1.000000000000e+00 4.603670178118e-01 5.687203791469e-01 1.984048575521e+00 2.451020195755e+00 2.307724177779e+00 2.850877058030e+00 1.538009478673e+00 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 1.538009478673e+00 1.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.094786729858e-02 1.000000000000e-01 4.047393364929e-01 5.000000000000e-01 1.699905213270e+00 2.100000000000e+00 5.292653598745e-01 6.538348415311e-01 1.376113744076e+00 1.700000000000e+00 5.151490730047e-01 6.363961030679e-01 5.151490730047e-01 6.363961030679e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.605859 0 0.605859 + 7 JET 2.500000000000e-01 6.682225000000e+04 7.000000000000e+03 4.387971374046e+01 5.698664122137e-01 9.643893129771e-01 2.200000000000e+00 4.383587786260e-01 1.000000000000e+00 2.091406386574e-01 4.770992366412e-01 1.010129300545e+00 2.304343724361e+00 1.271240458015e+00 2.900000000000e+00 8.767175572519e-01 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.677538340277e-01 1.751427988814e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.383587786260e-02 1.000000000000e-01 1.996819268253e-01 4.555216789572e-01 8.328816793893e-01 1.900000000000e+00 2.630152671756e-01 6.000000000000e-01 7.013740458015e-01 1.600000000000e+00 3.099664649591e-01 7.071067811865e-01 3.099664649591e-01 7.071067811865e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.589761 0 0.589761 + 8 JET 2.500000000000e-01 8.179600000000e+04 7.000000000000e+03 2.397361151079e+01 3.833860911271e-01 5.271558752998e-01 2.200000000000e+00 2.396163069544e-01 1.000000000000e+00 8.207207225069e-02 3.425145529277e-01 5.653878654113e-01 2.359555042799e+00 7.070711410233e-01 2.950847335936e+00 5.031942446043e-01 2.100000000000e+00 0.000000000000e+00 0.000000000000e+00 3.957297949463e-01 1.651514456491e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.396163069544e-02 1.000000000000e-01 9.584652278177e-02 4.000000000000e-01 4.196707065762e-01 1.751427988814e+00 1.328736699905e-01 5.545268253205e-01 3.594244604317e-01 1.500000000000e+00 1.863777470834e-01 7.778174593052e-01 1.863777470834e-01 7.778174593052e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.587093 0 0.587093 + 9 JET 2.500000000000e-01 9.922500000000e+04 7.000000000000e+03 1.343345857418e+01 9.394026974952e-02 2.952408477842e-01 2.200000000000e+00 1.342003853565e-01 1.000000000000e+00 3.878623854233e-02 2.890173410405e-01 3.020999417918e-01 2.251110836898e+00 4.026011560694e-01 3.000000000000e+00 2.952408477842e-01 2.200000000000e+00 0.000000000000e+00 0.000000000000e+00 2.082269370358e-01 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.342003853565e-02 1.000000000000e-01 5.368015414258e-02 4.000000000000e-01 2.147206165703e-01 1.600000000000e+00 6.710019267823e-02 5.000000000000e-01 1.878805394990e-01 1.400000000000e+00 1.138728030281e-01 8.485281374239e-01 1.138728030281e-01 8.485281374239e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.82005 0 0.82005 + 10 JET 2.500000000000e-01 1.197160000000e+05 7.000000000000e+03 7.574088050314e+00 6.053217223029e-02 1.664634736333e-01 2.200000000000e+00 7.566521528786e-02 1.000000000000e+00 1.902118973065e-02 2.513861839723e-01 1.740299951621e-01 2.300000000000e+00 2.308409189646e-01 3.050819562019e+00 1.740299951621e-01 2.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.134978229318e-01 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.566521528786e-03 1.000000000000e-01 3.026608611514e-02 4.000000000000e-01 1.134978229318e-01 1.500000000000e+00 3.783260764393e-02 5.000000000000e-01 1.022880654345e-01 1.351850583460e+00 7.490474156198e-02 9.899494936612e-01 7.490474156198e-02 9.899494936612e-01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.563694 0 0.563694 + 11 JET 2.500000000000e-01 1.432622500000e+05 7.000000000000e+03 4.357839398350e+00 2.616011644833e-02 9.592042697720e-02 2.200000000000e+00 4.360019408054e-02 1.000000000000e+00 1.099239466774e-02 2.521180214802e-01 9.611840536528e-02 2.204540768505e+00 1.373752103242e-01 3.150793550838e+00 1.046404657933e-01 2.400000000000e+00 0.000000000000e+00 0.000000000000e+00 6.104027171276e-02 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.360019408054e-03 1.000000000000e-01 1.308005822416e-02 3.000000000000e-01 6.104027171276e-02 1.400000000000e+00 1.744007763222e-02 4.000000000000e-01 5.668025230471e-02 1.300000000000e+00 4.624498934310e-02 1.060660171780e+00 4.624498934310e-02 1.060660171780e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.56568 0 0.56568 + 12 JET 2.500000000000e-01 1.701562500000e+05 7.000000000000e+03 2.557299270073e+00 1.532846715328e-02 5.620437956204e-02 2.200000000000e+00 2.554744525547e-02 1.000000000000e+00 4.123177141827e-03 1.613929338372e-01 5.875912408759e-02 2.300000000000e+00 8.049472575133e-02 3.150793550838e+00 6.386861313869e-02 2.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.453632877451e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.554744525547e-03 1.000000000000e-01 7.664233576642e-03 3.000000000000e-01 3.321167883212e-02 1.300000000000e+00 1.021897810219e-02 4.000000000000e-01 3.065693430657e-02 1.200000000000e+00 3.071011202963e-02 1.202081528017e+00 3.071011202963e-02 1.202081528017e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.565435 0 0.565435 + 13 JET 2.500000000000e-01 2.016010000000e+05 7.000000000000e+03 1.488408787025e+00 1.038555392875e-02 3.264031234749e-02 2.200000000000e+00 1.483650561249e-02 1.000000000000e+00 2.401518902716e-03 1.618655339363e-01 3.339861856598e-02 2.251110836898e+00 4.823005458693e-02 3.250769139758e+00 3.933073408600e-02 2.650943228362e+00 0.000000000000e+00 0.000000000000e+00 2.005673876875e-02 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.483650561249e-03 1.000000000000e-01 4.450951683748e-03 3.000000000000e-01 1.780380673499e-02 1.200000000000e+00 5.934602244998e-03 4.000000000000e-01 1.709420429980e-02 1.152171862180e+00 1.942251024071e-02 1.309102746159e+00 1.942251024071e-02 1.309102746159e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.526004 0 0.526004 + 14 JET 2.500000000000e-01 2.376562500000e+05 7.000000000000e+03 8.554523227384e-01 6.843618581907e-03 1.881995110024e-02 2.200000000000e+00 8.554523227384e-03 1.000000000000e+00 1.387390895140e-03 1.621821413377e-01 1.925717994166e-02 2.251110836898e+00 2.866403607338e-02 3.350746185553e+00 2.353271442960e-02 2.750908940696e+00 0.000000000000e+00 0.000000000000e+00 1.112088019560e-02 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.554523227384e-04 1.000000000000e-01 2.566356968215e-03 3.000000000000e-01 9.409975550122e-03 1.100000000000e+00 3.054575768433e-03 3.570714214271e-01 9.409975550122e-03 1.100000000000e+00 1.209792276780e-02 1.414213562373e+00 1.209792276780e-02 1.414213562373e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.533456 0 0.533456 + 15 JET 2.500000000000e-01 2.782562500000e+05 7.000000000000e+03 5.072870588235e-01 2.025098039216e-03 1.113803921569e-02 2.200000000000e+00 5.062745098039e-03 1.000000000000e+00 4.963475586313e-04 9.803921568627e-02 1.164431372549e-02 2.300000000000e+00 1.747013885890e-02 3.450724561596e+00 1.468196078431e-02 2.900000000000e+00 0.000000000000e+00 0.000000000000e+00 6.581568627451e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 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2.503996805110e+00 1.878082361250e-04 4.502221673796e+00 1.775076221981e-04 4.255290824374e+00 0.000000000000e+00 0.000000000000e+00 5.639186427930e-05 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.917578663333e-06 1.658312395178e-01 2.502874132805e-05 6.000000000000e-01 8.342913776016e-06 2.000000000000e-01 3.142466759192e-05 7.533259586660e-01 1.342259840833e-04 3.217724351153e+00 1.342259840833e-04 3.217724351153e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.684683 0 0.684683 + 25 JET 2.500000000000e-01 1.137422250000e+06 7.000000000000e+03 2.307679516669e-03 8.752428146680e-05 5.067195242815e-05 2.200000000000e+00 2.303270564916e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.105839507150e-05 2.650943228362e+00 1.072134719188e-04 4.654836194755e+00 1.028185243014e-04 4.464022849404e+00 0.000000000000e+00 0.000000000000e+00 3.113677657047e-05 1.351850583460e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.819542127248e-06 1.658312395178e-01 1.381962338949e-05 6.000000000000e-01 4.606541129832e-06 2.000000000000e-01 1.612289395441e-05 7.000000000000e-01 7.983748453697e-05 3.466266002487e+00 7.983748453697e-05 3.466266002487e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.665805 0 0.665805 + 26 JET 2.500000000000e-01 1.291632250000e+06 7.000000000000e+03 1.458371765736e-03 6.849503968254e-05 3.206150793651e-05 2.200000000000e+00 1.457341269841e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.934821428571e-05 2.700000000000e+00 7.007372081973e-05 4.808326112069e+00 6.796196597074e-05 4.663421490708e+00 0.000000000000e+00 0.000000000000e+00 2.115656006554e-05 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.457341269841e-06 1.000000000000e-01 8.081348277736e-06 5.545268253205e-01 2.416727091782e-06 1.658312395178e-01 1.020138888889e-05 7.000000000000e-01 5.410594135719e-05 3.712647303475e+00 5.410594135719e-05 3.712647303475e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.674 0 0.674 + 27 JET 2.500000000000e-01 1.464100000000e+06 7.000000000000e+03 7.976516348082e-04 5.020615384615e-05 1.753230769231e-05 2.200000000000e+00 7.969230769231e-06 1.000000000000e+00 6.850179945186e-07 8.595785645504e-02 2.271929717014e-05 2.850877058030e+00 3.990985677067e-05 5.007993610220e+00 3.875332943131e-05 4.862869523234e+00 0.000000000000e+00 0.000000000000e+00 1.156911650926e-05 1.451723114096e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 7.969230769231e-07 1.000000000000e-01 3.984615384615e-06 5.000000000000e-01 1.321547416465e-06 1.658312395178e-01 5.210560737125e-06 6.538348415311e-01 3.156660492903e-05 3.961060464068e+00 3.156660492903e-05 3.961060464068e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.670024 0 0.670024 + 28 JET 2.500000000000e-01 1.657656250000e+06 7.000000000000e+03 3.358888238386e-04 3.088897715988e-05 7.386494538232e-06 2.200000000000e+00 3.357497517378e-06 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.007249255214e-05 3.000000000000e+00 1.751700123725e-05 5.217278984298e+00 1.684781414915e-05 5.017967716118e+00 0.000000000000e+00 0.000000000000e+00 5.058580071995e-06 1.506651917332e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.357497517378e-07 1.000000000000e-01 1.678748758689e-06 5.000000000000e-01 5.567779749847e-07 1.658312395178e-01 2.195248857216e-06 6.538348415311e-01 1.424861187349e-05 4.243819034785e+00 1.424861187349e-05 4.243819034785e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0.713913 0 0.713913 + 29 JET 2.500000000000e-01 1.872792250000e+06 7.000000000000e+03 1.780377232903e-04 2.244590163934e-05 3.919125683060e-06 2.200000000000e+00 1.781420765027e-06 1.000000000000e+00 1.532792486182e-07 8.604325919368e-02 5.706110672397e-06 3.203123475609e+00 9.672310948901e-06 5.429548784199e+00 9.393933539212e-06 5.273281710662e+00 0.000000000000e+00 0.000000000000e+00 2.764073951712e-06 1.551612064918e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.781420765027e-07 1.000000000000e-01 8.907103825137e-07 5.000000000000e-01 2.954152135672e-07 1.658312395178e-01 1.164754963602e-06 6.538348415311e-01 8.063758070095e-06 4.526588119103e+00 8.063758070095e-06 4.526588119103e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 0 0 + 30 JET 2.500000000000e-01 2.112662250000e+06 7.000000000000e+03 9.441535899234e-05 1.576871769384e-05 2.077316103380e-06 2.200000000000e+00 9.442345924453e-07 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.258293500059e-06 3.450724561596e+00 5.314623376051e-06 5.628498911788e+00 5.220686638507e-06 5.529014378712e+00 0.000000000000e+00 0.000000000000e+00 1.516665332620e-06 1.606237840421e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 9.442345924453e-08 1.000000000000e-01 4.301193268802e-07 4.555216789572e-01 1.565835928608e-07 1.658312395178e-01 5.665407554672e-07 6.000000000000e-01 4.607922857976e-06 4.880061475023e+00 4.607922857976e-06 4.880061475023e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 0 0 + 31 JET 2.500000000000e-01 2.379306250000e+06 7.000000000000e+03 4.303357713624e-05 9.351178518150e-06 9.480457483839e-07 2.200000000000e+00 4.309298856290e-07 1.000000000000e+00 3.711548763846e-08 8.612883180353e-02 1.638667199009e-06 3.802630668366e+00 2.543125335841e-06 5.901482864501e+00 2.450150007240e-06 5.685727745856e+00 0.000000000000e+00 0.000000000000e+00 7.168865442408e-07 1.663580475961e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.309298856290e-08 1.000000000000e-01 1.723719542516e-07 4.000000000000e-01 4.309298856290e-08 1.000000000000e-01 2.585579313774e-07 6.000000000000e-01 2.240576418018e-06 5.199399003731e+00 2.240576418018e-06 5.199399003731e+00 0.000000000000e+00 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7.000000000000e+03 8.266354244921e-03 1.730890207715e-04 1.813313550940e-04 2.200000000000e+00 8.242334322453e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.060583580613e-04 2.500000000000e+00 3.750714964887e-04 4.550549417378e+00 3.469621377719e-04 4.209513035970e+00 0.000000000000e+00 0.000000000000e+00 1.153926805143e-04 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 8.242334322453e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.648466864491e-05 2.000000000000e-01 5.769634025717e-05 7.000000000000e-01 2.472700296736e-05 3.000000000000e-01 6.593867457962e-05 8.000000000000e-01 2.507485543117e-04 3.042203149035e+00 0.000000000000e+00 0.000000000000e+00 2.507485543117e-04 3.042203149035e+00 0.000000000000e+00 0.000000000000e+00 0 0.830437 0 0.830437 + 56 JET 7.500000000000e-01 8.760960000000e+05 7.000000000000e+03 4.345299602524e-03 1.213148514851e-04 9.531881188119e-05 2.200000000000e+00 4.332673267327e-05 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.126495049505e-04 2.600000000000e+00 2.037278072457e-04 4.702127178203e+00 1.910310970887e-04 4.409081537010e+00 0.000000000000e+00 0.000000000000e+00 6.499009900990e-05 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.332673267327e-06 1.000000000000e-01 0.000000000000e+00 0.000000000000e+00 7.184925783463e-06 1.658312395178e-01 2.599603960396e-05 6.000000000000e-01 1.299801980198e-05 3.000000000000e-01 3.466138613861e-05 8.000000000000e-01 1.440573140197e-04 3.324906013709e+00 0.000000000000e+00 0.000000000000e+00 1.440573140197e-04 3.324906013709e+00 0.000000000000e+00 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2.900000000000e+00 1.113613025188e-03 7.001428425686e+00 9.386947430851e-04 5.901694671872e+00 7.793700787402e-04 4.900000000000e+00 3.911430221616e-04 2.459166525472e+00 2.917089945755e-03 1.834011995599e+01 6.760778073287e-04 4.250588194591e+00 5.275261477573e-05 3.316624790355e-01 0.000000000000e+00 0.000000000000e+00 5.275261477573e-05 3.316624790355e-01 0.000000000000e+00 0.000000000000e+00 3.262569041218e-04 2.051219149677e+00 1.377457728854e-05 8.660254037844e-02 1.606377950826e-04 1.009950493836e+00 3.103613301433e-04 1.951281630109e+00 1.356638529947e-04 8.529361054616e-01 3.189045201940e-04 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 1.65266 0 1.65266 + 129 JET 2.250000000000e+00 2.782562500000e+05 7.000000000000e+03 5.324476096599e-03 1.885697387876e-04 1.152370625924e-04 2.200000000000e+00 5.238048299655e-05 1.000000000000e+00 1.341434074052e-05 2.560942544459e-01 1.677811547500e-04 3.203123475609e+00 3.981605864968e-04 7.601315675592e+00 3.353169256943e-04 6.401562309312e+00 2.933307047807e-04 5.600000000000e+00 1.288123303731e-04 2.459166525472e+00 1.003164885408e-03 1.915150124664e+01 2.383599763819e-04 4.550549417378e+00 1.360884868125e-05 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 1.360884868125e-05 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 1.154749102399e-04 2.204540768505e+00 4.536282893751e-06 8.660254037844e-02 4.989911183126e-05 9.526279441629e-01 9.952291769345e-05 1.900000000000e+00 3.945957756876e-05 7.533259586660e-01 1.050225418460e-04 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 2.40553 0 2.40553 + 130 JET 2.250000000000e+00 3.249000000000e+05 7.000000000000e+03 1.642065153011e-03 1.016209279368e-04 3.548667324778e-05 2.200000000000e+00 1.613030602172e-05 1.000000000000e+00 3.184660616331e-06 1.974333662389e-01 5.888666409767e-05 3.650684867254e+00 1.331190091539e-04 8.252726822087e+00 1.121578351093e-04 6.953236656407e+00 1.032339585390e-04 6.400000000000e+00 3.992861690067e-05 2.475378758897e+00 3.236086741805e-04 2.006215342380e+01 7.907141164588e-05 4.902040391510e+00 4.190776435687e-06 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 4.190776435687e-06 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 3.716976945316e-05 2.304343724361e+00 1.396925478562e-06 8.660254037844e-02 1.469540816221e-05 9.110433579144e-01 2.903455083909e-05 1.800000000000e+00 1.215137824739e-05 7.533259586660e-01 3.234116301038e-05 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 2.83688 0 2.83688 + 131 JET 2.250000000000e+00 3.782250000000e+05 7.000000000000e+03 3.261751976285e-04 4.185009881423e-05 7.028260869565e-06 2.200000000000e+00 3.194664031621e-06 1.000000000000e+00 6.313565279883e-07 1.976284584980e-01 1.438308564366e-05 4.502221673796e+00 2.861454349281e-05 8.956980518009e+00 2.397701239160e-05 7.505331438384e+00 2.332104743083e-05 7.300000000000e+00 7.908003485687e-06 2.475378758897e+00 6.718884299238e-05 2.103158339260e+01 1.661839541351e-05 5.201922721456e+00 8.299980623819e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 8.299980623819e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 7.680493241264e-06 2.404163056034e+00 5.533320415880e-07 1.732050807569e-01 2.910477446776e-06 9.110433579144e-01 5.430928853755e-06 1.700000000000e+00 2.088782650860e-06 6.538348415311e-01 6.405281466510e-06 2.004993765576e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 0 0 + 132 JET 2.250000000000e+00 4.382440000000e+05 7.000000000000e+03 9.262206231454e-05 2.275882294758e-05 1.994797230465e-06 2.200000000000e+00 9.067260138477e-07 1.000000000000e+00 1.793721095643e-07 1.978239366963e-01 5.169928781594e-06 5.701754116059e+00 8.803651236334e-06 9.709273917240e+00 7.396767164887e-06 8.157665107125e+00 7.435153313551e-06 8.200000000000e+00 2.299225472356e-06 2.535744466621e+00 1.989571559317e-05 2.194236769357e+01 5.079284573070e-06 5.601785429664e+00 2.355743286793e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 2.355743286793e-07 2.598076211353e-01 0.000000000000e+00 0.000000000000e+00 2.360972468115e-06 2.603843313258e+00 1.570495524529e-07 1.732050807569e-01 7.733793549720e-07 8.529361054616e-01 1.541434223541e-06 1.700000000000e+00 5.440356083086e-07 6.000000000000e-01 1.727545076981e-06 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 0 0 + 133 JET 2.250000000000e+00 6.328202500000e+05 7.000000000000e+03 8.112404561230e-06 3.416162617749e-06 1.727714427367e-07 2.200000000000e+00 7.853247397124e-08 1.000000000000e+00 1.291337382355e-08 1.644335543062e-01 6.798730942288e-07 8.657222418305e+00 9.476351289754e-07 1.206679327742e+01 7.708993415101e-07 9.816312953446e+00 8.560039662866e-07 1.090000000000e+01 2.064000156262e-07 2.628212320190e+00 1.939302957440e-06 2.469428071437e+01 5.184333031523e-07 6.601514977640e+00 1.923644894680e-08 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 1.923644894680e-08 2.449489742783e-01 0.000000000000e+00 0.000000000000e+00 2.358590515578e-07 3.003331483536e+00 2.720444699246e-08 3.464101615138e-01 5.916055124080e-08 7.533259586660e-01 1.177987109569e-07 1.500000000000e+00 3.577324439605e-08 4.555216789572e-01 1.496244584585e-07 1.905255888326e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0 0 0 0 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat index 49b5f4e61c..fe484c6cb5 100644 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS1JET11_SF_DEFAULT.dat @@ -1,4 +1,4 @@ -404 +406 1 MULT CORR 2 MULT CORR 3 MULT CORR @@ -403,3 +403,5 @@ 402 MULT CORR 403 MULT ATLASLUMI11 404 MULT ATLAS1JET11_NP_err +405 MULT SKIP +406 MULT SKIP diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat index 30ade53597..3d4de24b73 100644 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSJETS11_SF_DEFAULT.dat @@ -1,4 +1,4 @@ -24 +26 1 MULT CMSLUMI11 2 MULT UNCORR 3 MULT CORR @@ -23,3 +23,5 @@ 22 MULT CORR 23 MULT CORR 24 MULT CORR +25 MULT SKIP +26 MULT SKIP From f2c8e84c8bc279ae1f7f4a690c4bc553af613e9b Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Wed, 27 Mar 2019 00:24:09 +0100 Subject: [PATCH 207/429] Added experiment name to metadata --- nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml | 4 +++- nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml | 4 +++- nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml | 4 +++- .../data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml | 3 +++ nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml | 4 +++- nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml | 4 +++- nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml | 2 ++ nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml | 4 +++- nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml | 2 ++ 13 files changed, 33 insertions(+), 6 deletions(-) diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml index 8c55f53236..975f732275 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS1JET11_SF.yaml @@ -15,3 +15,5 @@ normalize: y_scale: linear figure_by: - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml index fae8c9bf90..b497b20341 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT12_SF.yaml @@ -3,3 +3,5 @@ x: k2 y_label: '$d\sigma_{\gamma}}/dp_T ^\gamma$ (fb)' figure_by: - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml index 41f1c5c483..9031ec150d 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASPHT15_SF.yaml @@ -3,3 +3,5 @@ x: k2 y_label: '$d\sigma_{\gamma}}/dp_T ^\gamma$ (fb)' figure_by: - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml index 16b1894239..aad116209d 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS2P76TEV_SF.yaml @@ -8,4 +8,6 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml index 1c2581b48b..ffe9f71fdf 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR04JETS36PB_SF.yaml @@ -8,4 +8,6 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml index 1c2581b48b..ffe9f71fdf 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASR06JETS36PB_SF.yaml @@ -8,4 +8,6 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 + +experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml index b02c45a2bf..a03729344c 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml @@ -3,3 +3,6 @@ x: k1 y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_t$ (fb)' figure_by: - k2 + +experiment: "ATLAS" + diff --git a/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml index aad6530f21..1f52e31546 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CDFR2KT_SF.yaml @@ -8,4 +8,6 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 + +experiment: "CDF" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml index 5f28e20727..718d992aef 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMS1JET276TEV_SF.yaml @@ -8,4 +8,6 @@ result_transform: qbinjets kinematics_override: jet_sqrt_scale line_by: - - k1 \ No newline at end of file + - k1 + +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml index 8804df0dc8..55cab95a02 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSJETS11_SF.yaml @@ -15,3 +15,5 @@ normalize: line_by: - k1 + +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml index d67250dfc3..fd3c1eb16f 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT_SF.yaml @@ -1 +1,3 @@ dataset_label: "CMS $\\sigma_{tt}^{\\rm tot}$" + +experiment: "CMS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml index e9c0ad4412..02f7ff8b8f 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_D0ZRAP_SF.yaml @@ -1,4 +1,6 @@ dataset_label: "D0 $Z$ rapidity" x: k1 y_label: '$1/\sigma\;d\sigma_{Z/\gamma^{*}}/dy$' -#x_label: 'Boson rapidity $|y|$' \ No newline at end of file +#x_label: 'Boson rapidity $|y|$' + +experiment: "D0" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml index ae0a3d4806..aab7e3c317 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ZEUSHERAF2B_SF.yaml @@ -10,3 +10,5 @@ normalize: figure_by: - two_Q2_bins y_scale: linear + +experiment: "F2BOTTOM" \ No newline at end of file From d0b9e417d3d1d346630dd35341bbe6b993ee282e Mon Sep 17 00:00:00 2001 From: wilsonm Date: Thu, 17 Jan 2019 13:05:56 +0000 Subject: [PATCH 208/429] another ugly solution to using th_covmat --- validphys2/src/validphys/config.py | 17 +++++++++++++++++ validphys2/src/validphys/core.py | 2 +- validphys2/src/validphys/results.py | 12 +++++++----- 3 files changed, 25 insertions(+), 6 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index b6bbe98f3e..b1ce89addb 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -10,6 +10,7 @@ import inspect import numbers import copy +import os from collections import ChainMap from collections.abc import Mapping, Sequence @@ -230,6 +231,22 @@ def produce_fitpdfandbasis(self, fit): basis = fitting['fitbasis'] return {'pdf': pdf, 'basis':basis} + def produce_fitthcovmat(self, fit, rc_useth=False): + if isinstance(rc_useth, str): + if os.path.exists(rc_useth): + pass + else: + raise DataNotFoundError( + f"No file found at {rc_useth}. If specifying a path `rc_useth` should be set to" + f"point at a valid thcovmat file" + ) + if isinstance(rc_useth, bool) and rc_useth: + rc_useth = fit.path / 'tables' / 'datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv' + if not os.path.exists(rc_useth): + rc_useth = False + return rc_useth + + @element_of('dataset_inputs') def parse_dataset_input(self, dataset:Mapping): """The mapping that corresponds to the dataset specifications in the diff --git a/validphys2/src/validphys/core.py b/validphys2/src/validphys/core.py index 11ca2859d4..3c81f31528 100644 --- a/validphys2/src/validphys/core.py +++ b/validphys2/src/validphys/core.py @@ -482,7 +482,7 @@ def __init__(self, name, datasets, dsinputs=None): #TODO: Can we do better cooperative inherece trick than this? namespaces.NSList.__init__(self, dsinputs, nskey='dataset_input') - @functools.lru_cache(maxsize=32) + #@functools.lru_cache(maxsize=32) def load(self): sets = [] for dataset in self.datasets: diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index c92197ff91..486e2cbb23 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -61,8 +61,10 @@ def std_error(self): class DataResult(NNPDFDataResult): - def __init__(self, dataobj): + def __init__(self, dataobj, use_thcovmat=False): super().__init__(dataobj) + if use_thcovmat: + dataobj.LoadFitCovMat(str(use_thcovmat), []) self._covmat = dataobj.get_covmat() self._sqrtcovmat = dataobj.get_sqrtcovmat() @@ -368,7 +370,7 @@ def closure_pseudodata_replicas(experiments, pdf, nclosure:int, return df -def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None): +def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, thcovmat=False): """Tuple of data and theory results for a single pdf. The theory is specified as part of the dataset. An experiment is also allowed. @@ -382,12 +384,12 @@ def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None): log.debug("Setting T0 predictions for %s" % dataset) data.SetT0(t0set.load_t0()) - return DataResult(data), ThPredictionsResult.from_convolution(pdf, dataset, + return DataResult(data, use_thcovmat=thcovmat), ThPredictionsResult.from_convolution(pdf, dataset, loaded_data=data) -def experiment_results(experiment, pdf:PDF, t0set:(PDF, type(None))=None): +def experiment_results(experiment, pdf:PDF, t0set:(PDF, type(None))=None, fitthcovmat=False): """Like `results` but for a whole experiment""" - return results(experiment, pdf, t0set) + return results(experiment, pdf, t0set, thcovmat=fitthcovmat) #It's better to duplicate a few lines than to complicate the logic of #``results`` to support this. From a692b292cbec1c23213cb1634996f33263e6cd77 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 22 Feb 2019 14:38:02 +0000 Subject: [PATCH 209/429] added temporary external function which does same as LoadFitCovMat -> GetSqrtCovMat except the internal fcovmat of the data object is never modified\nthis allows the user to specify at the point of instantiating a vp DataResult whether or not to use the theory cov mat --- libnnpdf/src/NNPDF/experiments.h | 1 + libnnpdf/src/experiments.cc | 7 +++++++ libnnpdf/wrapper/src/nnpdf.i | 16 ++++++++++++++++ validphys2/src/validphys/core.py | 2 +- validphys2/src/validphys/results.py | 5 +++-- 5 files changed, 28 insertions(+), 3 deletions(-) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index 98ec918395..04d55b8dc7 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -58,6 +58,7 @@ namespace NNPDF void LoadRepCovMat(std::string filename, bool ThUnc, std::vector bmask = {}); //!< Read in covmat for rep gen, generate covmat and sqrt void LoadFitCovMat(std::string filename, bool ThUnc, std::vector bmask = {}); //!< Read in covmat for fitting, generate covmat and sqrt + matrix const& GetSqrtFitCovMat(std::string filename, std::vector bmask = {}); //temporary external function for calc sqrtcovmat with th error private: diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index d260640618..9a6bbae553 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -463,6 +463,13 @@ void Experiment::LoadFitCovMat(string filename, bool ThUnc, std::vector bma fSqrtCov = ComputeSqrtMat(fCovMat); } +matrix const& Experiment::GetSqrtFitCovMat(string filename, std::vector bmask) +{ + matrix SqrtCovMat = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, true, true, true, filename, bmask); + SqrtCovMat = ComputeSqrtMat(SqrtCovMat); + return SqrtCovMat; +} + void Experiment::ExportCovMat(string filename) { ofstream outCovMat(filename.c_str()); diff --git a/libnnpdf/wrapper/src/nnpdf.i b/libnnpdf/wrapper/src/nnpdf.i index 86875de31c..5bfbc4a7dc 100644 --- a/libnnpdf/wrapper/src/nnpdf.i +++ b/libnnpdf/wrapper/src/nnpdf.i @@ -304,6 +304,22 @@ void get_sqrtcovmat(double ** datamat, int* n, int* m){ *m = *n = len; } +void get_sqrtfitcovmat( + double ** datamat, + int* n, int* m, + std::string filename, + std::vector bmask = {} + ) +{ + int len = $self->GetNData(); + auto data = $self->GetSqrtFitCovMat(filename, bmask).data(); + auto size = len*len; + auto result = (double*) malloc(sizeof(double)*size); + std::copy(data, data + size, result); + *datamat = result; + *m = *n = len; +} + void get_cv (double **cv, int* n){ int len = $self->GetNData(); auto result = (double*) malloc(sizeof(double)*len); diff --git a/validphys2/src/validphys/core.py b/validphys2/src/validphys/core.py index 3c81f31528..11ca2859d4 100644 --- a/validphys2/src/validphys/core.py +++ b/validphys2/src/validphys/core.py @@ -482,7 +482,7 @@ def __init__(self, name, datasets, dsinputs=None): #TODO: Can we do better cooperative inherece trick than this? namespaces.NSList.__init__(self, dsinputs, nskey='dataset_input') - #@functools.lru_cache(maxsize=32) + @functools.lru_cache(maxsize=32) def load(self): sets = [] for dataset in self.datasets: diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 486e2cbb23..8451992f39 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -64,9 +64,10 @@ class DataResult(NNPDFDataResult): def __init__(self, dataobj, use_thcovmat=False): super().__init__(dataobj) if use_thcovmat: - dataobj.LoadFitCovMat(str(use_thcovmat), []) + self._sqrtcovmat = dataobj.get_sqrtfitcovmat(str(use_thcovmat), []) + else: + self._sqrtcovmat = dataobj.get_sqrtcovmat() self._covmat = dataobj.get_covmat() - self._sqrtcovmat = dataobj.get_sqrtcovmat() From 83dad8cb9f1c0e4d5f18c6a756c50015e6c59db6 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 22 Feb 2019 20:20:25 +0000 Subject: [PATCH 210/429] changed implementation to use correct typings and not need any editing of swig interface file --- libnnpdf/src/NNPDF/experiments.h | 6 ++++++ libnnpdf/src/experiments.cc | 6 +++--- libnnpdf/wrapper/src/nnpdf.i | 16 ---------------- validphys2/src/validphys/results.py | 2 +- 4 files changed, 10 insertions(+), 20 deletions(-) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index 04d55b8dc7..85e0cf6f82 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -56,9 +56,15 @@ namespace NNPDF void SetT0(const PDFSet&); //! bmask = {}); //!< Read in covmat for rep gen, generate covmat and sqrt void LoadFitCovMat(std::string filename, bool ThUnc, std::vector bmask = {}); //!< Read in covmat for fitting, generate covmat and sqrt matrix const& GetSqrtFitCovMat(std::string filename, std::vector bmask = {}); //temporary external function for calc sqrtcovmat with th error +======= + void LoadRepCovMat(std::string filename, std::vector bmask = {}); //!< Read in covmat for rep gen, generate covmat and sqrt + void LoadFitCovMat(std::string filename, std::vector bmask = {}); //!< Read in covmat for fitting, generate covmat and sqrt + matrix GetSqrtFitCovMat(std::string filename, std::vector bmask = {}); //temporary external function for calc sqrtcovmat with th error +>>>>>>> changed implementation to use correct typings and not need any editing of swig interface file private: diff --git a/libnnpdf/src/experiments.cc b/libnnpdf/src/experiments.cc index 9a6bbae553..0ccf0579ce 100644 --- a/libnnpdf/src/experiments.cc +++ b/libnnpdf/src/experiments.cc @@ -463,10 +463,10 @@ void Experiment::LoadFitCovMat(string filename, bool ThUnc, std::vector bma fSqrtCov = ComputeSqrtMat(fCovMat); } -matrix const& Experiment::GetSqrtFitCovMat(string filename, std::vector bmask) +matrix Experiment::GetSqrtFitCovMat(string filename, std::vector bmask) { - matrix SqrtCovMat = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, true, true, true, filename, bmask); - SqrtCovMat = ComputeSqrtMat(SqrtCovMat); + matrix const CovMat = ComputeCovMat_basic(fNData, fNSys, fSqrtWeights, fT0Pred, fStat, fSys, true, true, true, filename, bmask); + matrix SqrtCovMat = ComputeSqrtMat(CovMat); return SqrtCovMat; } diff --git a/libnnpdf/wrapper/src/nnpdf.i b/libnnpdf/wrapper/src/nnpdf.i index 5bfbc4a7dc..86875de31c 100644 --- a/libnnpdf/wrapper/src/nnpdf.i +++ b/libnnpdf/wrapper/src/nnpdf.i @@ -304,22 +304,6 @@ void get_sqrtcovmat(double ** datamat, int* n, int* m){ *m = *n = len; } -void get_sqrtfitcovmat( - double ** datamat, - int* n, int* m, - std::string filename, - std::vector bmask = {} - ) -{ - int len = $self->GetNData(); - auto data = $self->GetSqrtFitCovMat(filename, bmask).data(); - auto size = len*len; - auto result = (double*) malloc(sizeof(double)*size); - std::copy(data, data + size, result); - *datamat = result; - *m = *n = len; -} - void get_cv (double **cv, int* n){ int len = $self->GetNData(); auto result = (double*) malloc(sizeof(double)*len); diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 8451992f39..8fa635fb7c 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -64,7 +64,7 @@ class DataResult(NNPDFDataResult): def __init__(self, dataobj, use_thcovmat=False): super().__init__(dataobj) if use_thcovmat: - self._sqrtcovmat = dataobj.get_sqrtfitcovmat(str(use_thcovmat), []) + self._sqrtcovmat = dataobj.GetSqrtFitCovMat(str(use_thcovmat), []) else: self._sqrtcovmat = dataobj.get_sqrtcovmat() self._covmat = dataobj.get_covmat() From 6c4a4ae5cd7e22fdaecf8aed450d07077814460b Mon Sep 17 00:00:00 2001 From: wilsonm Date: Mon, 25 Feb 2019 16:32:05 +0000 Subject: [PATCH 211/429] added a ropey way of adding th cov mat to dataset covmat externally (in python) and added functionality for switching th cov mat on in vp-comparefits --- validphys2/src/validphys/results.py | 22 ++++++++++++++----- .../src/validphys/scripts/vp_comparefits.py | 14 +++++++++++- 2 files changed, 29 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 8fa635fb7c..949d7334ef 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -14,7 +14,7 @@ import scipy.linalg as la import pandas as pd -from NNPDF import ThPredictions, CommonData, Experiment +from NNPDF import ThPredictions, CommonData, Experiment, DataSet from reportengine.checks import require_one, remove_outer, check_not_empty from reportengine.table import table from reportengine import collect @@ -23,6 +23,7 @@ check_speclabels_different, check_two_dataspecs) from validphys.core import DataSetSpec, PDF, ExperimentSpec from validphys.calcutils import all_chi2, central_chi2, calc_chi2, calc_phi, bootstrap_values +from validphys.tableloader import parse_exp_mat log = logging.getLogger(__name__) @@ -63,11 +64,20 @@ class DataResult(NNPDFDataResult): def __init__(self, dataobj, use_thcovmat=False): super().__init__(dataobj) + self._covmat = dataobj.get_covmat() if use_thcovmat: - self._sqrtcovmat = dataobj.GetSqrtFitCovMat(str(use_thcovmat), []) + if isinstance(dataobj, Experiment): + self._sqrtcovmat = dataobj.GetSqrtFitCovMat(str(use_thcovmat), []) + elif isinstance(dataobj, DataSet): + # TODO: Come up with a better internal way of doing this, at the very least + # Not loading the whole th cov mat each time + thcov = parse_exp_mat(use_thcovmat) + thcovslice = thcov.xs( + dataobj.GetSetName(), level=1, axis=0).xs( + dataobj.GetSetName(), level=1, axis=1).values + self._sqrtcovmat = np.linalg.cholesky(self._covmat + thcovslice) else: self._sqrtcovmat = dataobj.get_sqrtcovmat() - self._covmat = dataobj.get_covmat() @@ -371,7 +381,7 @@ def closure_pseudodata_replicas(experiments, pdf, nclosure:int, return df -def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, thcovmat=False): +def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, fitthcovmat=False): """Tuple of data and theory results for a single pdf. The theory is specified as part of the dataset. An experiment is also allowed. @@ -385,12 +395,12 @@ def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, thcovm log.debug("Setting T0 predictions for %s" % dataset) data.SetT0(t0set.load_t0()) - return DataResult(data, use_thcovmat=thcovmat), ThPredictionsResult.from_convolution(pdf, dataset, + return DataResult(data, use_thcovmat=fitthcovmat), ThPredictionsResult.from_convolution(pdf, dataset, loaded_data=data) def experiment_results(experiment, pdf:PDF, t0set:(PDF, type(None))=None, fitthcovmat=False): """Like `results` but for a whole experiment""" - return results(experiment, pdf, t0set, thcovmat=fitthcovmat) + return results(experiment, pdf, t0set, fitthcovmat=fitthcovmat) #It's better to duplicate a few lines than to complicate the logic of #``results`` to support this. diff --git a/validphys2/src/validphys/scripts/vp_comparefits.py b/validphys2/src/validphys/scripts/vp_comparefits.py index 9913c3b566..7c7a9ac749 100644 --- a/validphys2/src/validphys/scripts/vp_comparefits.py +++ b/validphys2/src/validphys/scripts/vp_comparefits.py @@ -66,10 +66,13 @@ def add_positional_arguments(self, parser): '--closure', help="Use the closure comparison template.", action='store_true') + parser.add_argument( + '--theory_cov', + help="Use theory cov mat for calculating statistical estimators.") def try_complete_args(self): args = self.args - argnames = ('base_fit', 'reference_fit', 'title', 'author', 'keywords') + argnames = ('base_fit', 'reference_fit', 'theory_cov', 'title', 'author', 'keywords') bad = [argname for argname in argnames if not args[argname]] if bad and not args['interactive']: sys.exit(f"The following arguments are required: {bad}") @@ -122,6 +125,14 @@ def interactive_keywords(self): complete_in_thread=True) return [k.strip() for k in kwinp.split(',') if k] + def interactive_theory_cov(self): + completer = WordCompleter(["True", "False"]) + res = prompt_toolkit.prompt( + "Use theory covariance matrix? ", completer=completer, default="False") + stringtobool = {"false":False, "true":True, "False":False, "True":True, "f":False, "t":True} + res = stringtobool.get(res, default=res) + return res + def get_commandline_arguments(self, cmdline=None): args = super().get_commandline_arguments(cmdline) # This is needed because the environment wants to know how to resolve @@ -167,6 +178,7 @@ def complete_mapping(self): }, 'speclabel': 'Reference Fit' } + autosettings['rc_useth'] = args['theory_cov'] return autosettings From f569ae7f9e31e9a23d4998ddc9051184703c7e30 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Tue, 26 Feb 2019 09:53:06 +0000 Subject: [PATCH 212/429] improved the interactive_theory_cov prompt, copying from wiki_upload.confirm --- .../src/validphys/scripts/vp_comparefits.py | 41 ++++++++++++++++--- 1 file changed, 35 insertions(+), 6 deletions(-) diff --git a/validphys2/src/validphys/scripts/vp_comparefits.py b/validphys2/src/validphys/scripts/vp_comparefits.py index 7c7a9ac749..18baa0c773 100644 --- a/validphys2/src/validphys/scripts/vp_comparefits.py +++ b/validphys2/src/validphys/scripts/vp_comparefits.py @@ -126,12 +126,41 @@ def interactive_keywords(self): return [k.strip() for k in kwinp.split(',') if k] def interactive_theory_cov(self): - completer = WordCompleter(["True", "False"]) - res = prompt_toolkit.prompt( - "Use theory covariance matrix? ", completer=completer, default="False") - stringtobool = {"false":False, "true":True, "False":False, "True":True, "f":False, "t":True} - res = stringtobool.get(res, default=res) - return res + """Interactively fill in the `rc_useth` runcard flag. Only booleans are permitted + at present, since the option to pass a path to `rc_useth` has a high possibility of + producing incorrect results or errors, and has very specific use cases. + """ + Keys = prompt_toolkit.keys.Keys + merge_formatted_text = prompt_toolkit.formatted_text.merge_formatted_text + PromptSession = prompt_toolkit.shortcuts.PromptSession + bindings = prompt_toolkit.key_binding.key_bindings.KeyBindings() + + @bindings.add('y') + @bindings.add('Y') + def yes(event): + session.default_buffer.text = 'y' + event.app.exit(result=True) + + @bindings.add('n') + @bindings.add('N') + def no(event): + session.default_buffer.text = 'n' + event.app.exit(result=False) + + @bindings.add(Keys.Any) + def nothing(event): + " Disallow inserting other text. " + pass + + # Set default to No + bindings.add(Keys.Enter)(no) + + message = ("Do you want to use the fitted covariance matrix (including theory covariance\n" + "matrix) to calculate the statistical estimators? ") + yes_no_str = prompt_toolkit.HTML('[y/N]') + complete_message = merge_formatted_text([message, yes_no_str]) + session = PromptSession(complete_message, key_bindings=bindings) + return session.prompt() def get_commandline_arguments(self, cmdline=None): args = super().get_commandline_arguments(cmdline) From e2086d5b2ef96b06c639e3c197d7c689736400e6 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Tue, 26 Feb 2019 11:25:39 +0000 Subject: [PATCH 213/429] Changed how validphys interacts with th cov mat. Defined a ThCovMatSpec in core which is given a path and can internally load the dataframe caching the result for subsequent loads. in config there is now a parse function to handle this change, results no longer uses lower level loading functions to load covmat --- validphys2/src/validphys/config.py | 40 +++++++++++++++++------------ validphys2/src/validphys/core.py | 23 +++++++++++++++++ validphys2/src/validphys/results.py | 24 ++++++++--------- 3 files changed, 57 insertions(+), 30 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index b1ce89addb..9e21c9e015 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -22,7 +22,7 @@ from reportengine import report from validphys.core import (ExperimentSpec, DataSetInput, ExperimentInput, - CutsPolicy, MatchedCuts) + CutsPolicy, MatchedCuts, ThCovMatSpec) from validphys.loader import (Loader, LoaderError ,LoadFailedError, DataNotFoundError, PDFNotFound, FallbackLoader) from validphys.gridvalues import LUMI_CHANNELS @@ -223,6 +223,7 @@ def produce_fitunderlyinglaw(self, fit): underlyinglaw = self.parse_pdf(datacuts['fakepdf']) return {'pdf': underlyinglaw} + def produce_fitpdfandbasis(self, fit): """ Set the PDF and basis from the fit config. """ with self.set_context(ns=self._curr_ns.new_child({'fit':fit})): @@ -231,22 +232,6 @@ def produce_fitpdfandbasis(self, fit): basis = fitting['fitbasis'] return {'pdf': pdf, 'basis':basis} - def produce_fitthcovmat(self, fit, rc_useth=False): - if isinstance(rc_useth, str): - if os.path.exists(rc_useth): - pass - else: - raise DataNotFoundError( - f"No file found at {rc_useth}. If specifying a path `rc_useth` should be set to" - f"point at a valid thcovmat file" - ) - if isinstance(rc_useth, bool) and rc_useth: - rc_useth = fit.path / 'tables' / 'datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv' - if not os.path.exists(rc_useth): - rc_useth = False - return rc_useth - - @element_of('dataset_inputs') def parse_dataset_input(self, dataset:Mapping): """The mapping that corresponds to the dataset specifications in the @@ -709,6 +694,27 @@ def res(*args, **kwargs): res.__name__ = 'theory_covmat' return res + def parse_theorycovmat(self, pathorbool): + if pathorbool: + return ThCovMatSpec(pathorbool) + else: + return False + + def produce_fitthcovmat(self, fit, rc_useth=False): + if isinstance(rc_useth, str): + if os.path.exists(rc_useth): + pass + else: + raise DataNotFoundError( + f"No file found at {rc_useth}. If specifying a path `rc_useth` should be set to" + f"point at a valid thcovmat file" + ) + if isinstance(rc_useth, bool) and rc_useth: + rc_useth = fit.path / 'tables' / 'datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv' + if not os.path.exists(rc_useth): + rc_useth = False + return self.parse_theorycovmat(rc_useth) + def parse_speclabel(self, label:(str, type(None))): """A label for a dataspec. To be used in some plots""" return label diff --git a/validphys2/src/validphys/core.py b/validphys2/src/validphys/core.py index 11ca2859d4..471ccf58a7 100644 --- a/validphys2/src/validphys/core.py +++ b/validphys2/src/validphys/core.py @@ -568,6 +568,29 @@ def __repr__(self): def __str__(self): return f"Theory {self.id}" +class ThCovMatSpec: + def __init__(self, path): + self.path = path + + # maxsize relatively low here, expect single experiments so one load per dataspec + @functools.lru_cache(maxsize=8) + def load(self): + from validphys.tableloader import parse_exp_mat + self.data = parse_exp_mat(self.path) + + def __getitem__(self, datasetname): + try: + section = self.data.xs( + datasetname, level=1, axis=0).xs( + datasetname, level=1, axis=1).values + return section + except AttributeError: + log.error("Tried to access part of covariance matrix before loading it") + raise + + def __str__(self): + return str(self.path) + #TODO: Decide if we want methods or properties class Stats: diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 949d7334ef..b156b93b15 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -14,7 +14,7 @@ import scipy.linalg as la import pandas as pd -from NNPDF import ThPredictions, CommonData, Experiment, DataSet +from NNPDF import ThPredictions, CommonData, Experiment from reportengine.checks import require_one, remove_outer, check_not_empty from reportengine.table import table from reportengine import collect @@ -23,7 +23,6 @@ check_speclabels_different, check_two_dataspecs) from validphys.core import DataSetSpec, PDF, ExperimentSpec from validphys.calcutils import all_chi2, central_chi2, calc_chi2, calc_phi, bootstrap_values -from validphys.tableloader import parse_exp_mat log = logging.getLogger(__name__) @@ -62,19 +61,14 @@ def std_error(self): class DataResult(NNPDFDataResult): - def __init__(self, dataobj, use_thcovmat=False): + def __init__(self, dataobj, thcovmat=False): super().__init__(dataobj) self._covmat = dataobj.get_covmat() - if use_thcovmat: + if thcovmat: if isinstance(dataobj, Experiment): - self._sqrtcovmat = dataobj.GetSqrtFitCovMat(str(use_thcovmat), []) - elif isinstance(dataobj, DataSet): - # TODO: Come up with a better internal way of doing this, at the very least - # Not loading the whole th cov mat each time - thcov = parse_exp_mat(use_thcovmat) - thcovslice = thcov.xs( - dataobj.GetSetName(), level=1, axis=0).xs( - dataobj.GetSetName(), level=1, axis=1).values + self._sqrtcovmat = dataobj.GetSqrtFitCovMat(str(thcovmat), []) + else: + thcovslice = thcovmat[dataobj.GetSetName()] self._sqrtcovmat = np.linalg.cholesky(self._covmat + thcovslice) else: self._sqrtcovmat = dataobj.get_sqrtcovmat() @@ -389,13 +383,17 @@ def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, fitthc data = dataset.load() + # only need to load thcov if specified and if dataset + if fitthcovmat and isinstance(dataset, DataSetSpec): + fitthcovmat.load() + if t0set: #Copy data to avoid chaos data = type(data)(data) log.debug("Setting T0 predictions for %s" % dataset) data.SetT0(t0set.load_t0()) - return DataResult(data, use_thcovmat=fitthcovmat), ThPredictionsResult.from_convolution(pdf, dataset, + return DataResult(data, thcovmat=fitthcovmat), ThPredictionsResult.from_convolution(pdf, dataset, loaded_data=data) def experiment_results(experiment, pdf:PDF, t0set:(PDF, type(None))=None, fitthcovmat=False): From dfecec41057c1a2ecbf5c69bf656c55935bed9eb Mon Sep 17 00:00:00 2001 From: wilsonm Date: Tue, 5 Mar 2019 10:56:43 +0000 Subject: [PATCH 214/429] Several fixes: cleaned up config.py changing variable/runcard input names and error types moved get item for thecovmat to free function which gets block of covmat moved `confirm` to promptutils and imported it to both wiki_upload and vp-comparefits changed default for `use_theorycovmat` to be True --- validphys2/src/validphys/config.py | 40 ++++++++----- validphys2/src/validphys/core.py | 25 ++++---- validphys2/src/validphys/promptutils.py | 59 +++++++++++++++++++ validphys2/src/validphys/results.py | 8 +-- .../src/validphys/scripts/vp_comparefits.py | 37 ++---------- .../src/validphys/scripts/wiki_upload.py | 55 +---------------- 6 files changed, 108 insertions(+), 116 deletions(-) create mode 100644 validphys2/src/validphys/promptutils.py diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 9e21c9e015..b6fa08060c 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -694,26 +694,36 @@ def res(*args, **kwargs): res.__name__ = 'theory_covmat' return res - def parse_theorycovmat(self, pathorbool): - if pathorbool: - return ThCovMatSpec(pathorbool) + def parse_theorycovmat(self, path): + if path: + return ThCovMatSpec(path) else: return False - def produce_fitthcovmat(self, fit, rc_useth=False): - if isinstance(rc_useth, str): - if os.path.exists(rc_useth): - pass + def produce_fitthcovmat(self, fit, use_theorycovmat=True): + """If True, returns the corresponding covariance matrix for the given fit if it exists. If + the fit doesn't have a theory covariance matrix then returns `False`. Alternatively if + a path is given then the covariance matrix from that location is used instead of the fit`s + covariance matrix. + """ + if isinstance(use_theorycovmat, str): + if os.path.exists(use_theorycovmat): + log.warn("Using path to a covariance matrix, if the experiment specifications do " + "not match between generation and use of covariance matrix then this " + "will lead to incorrect results.") else: - raise DataNotFoundError( - f"No file found at {rc_useth}. If specifying a path `rc_useth` should be set to" - f"point at a valid thcovmat file" + raise ConfigError( + f"No file found at {use_theorycovmat}. If specifying " + "`use_theorycovmat: ` then should point at a" + "valid theory covariance matrix." ) - if isinstance(rc_useth, bool) and rc_useth: - rc_useth = fit.path / 'tables' / 'datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv' - if not os.path.exists(rc_useth): - rc_useth = False - return self.parse_theorycovmat(rc_useth) + if isinstance(use_theorycovmat, bool) and use_theorycovmat: + use_theorycovmat = ( + fit.path/'tables'/ + 'datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv') + if not os.path.exists(use_theorycovmat): + use_theorycovmat = False + return self.parse_theorycovmat(use_theorycovmat) def parse_speclabel(self, label:(str, type(None))): """A label for a dataspec. To be used in some plots""" diff --git a/validphys2/src/validphys/core.py b/validphys2/src/validphys/core.py index 471ccf58a7..805d2f8ec6 100644 --- a/validphys2/src/validphys/core.py +++ b/validphys2/src/validphys/core.py @@ -31,6 +31,7 @@ #TODO: There is a bit of a circular dependency between filters.py and this. #Maybe move the cuts logic to its own module? from validphys import lhaindex, filters +from validphys.tableloader import parse_exp_mat log = logging.getLogger(__name__) @@ -575,22 +576,24 @@ def __init__(self, path): # maxsize relatively low here, expect single experiments so one load per dataspec @functools.lru_cache(maxsize=8) def load(self): - from validphys.tableloader import parse_exp_mat self.data = parse_exp_mat(self.path) - def __getitem__(self, datasetname): - try: - section = self.data.xs( - datasetname, level=1, axis=0).xs( - datasetname, level=1, axis=1).values - return section - except AttributeError: - log.error("Tried to access part of covariance matrix before loading it") - raise - def __str__(self): return str(self.path) +def get_covmatblock(covmat: ThCovMatSpec, datasetname: str): + """Given a loaded ThCovMatSpec object, returns the diagonal block of the covariance matrix for + a given dataset + """ + try: + section = covmat.data.xs( + datasetname, level=1, axis=0).xs( + datasetname, level=1, axis=1).values + return section + except AttributeError: + log.error("Tried to access part of covariance matrix before loading it") + raise + #TODO: Decide if we want methods or properties class Stats: diff --git a/validphys2/src/validphys/promptutils.py b/validphys2/src/validphys/promptutils.py new file mode 100644 index 0000000000..d27b3b4503 --- /dev/null +++ b/validphys2/src/validphys/promptutils.py @@ -0,0 +1,59 @@ +# -*- coding: utf-8 -*- +"""Module which extends the functionality of promp_toolkit for user inputs/interactivity""" + +# NOTE: since functions here were ported from wiki_upload, the uploads are as late as possible to +# help with command line speed +from prompt_toolkit import HTML + +def yes_no_str(default=None): + """Return a yes or no string for the prompt, with the default + highlighted""" + if default is None: + return f'[y/n]' + elif default: + return HTML('[Y/n]') + else: + return HTML('[y/N]') + +def confirm(message, default=None): + """ + This is like prompt_toolkit.shortcuts.confirm (implemented by + create_confirm_session) except that it doesn't bind control+c to "No", but + instead raises an exception. + + It also support defaults. + """ + from prompt_toolkit.key_binding.key_bindings import KeyBindings + from prompt_toolkit.keys import Keys + from prompt_toolkit.formatted_text import merge_formatted_text + from prompt_toolkit.shortcuts import PromptSession + + bindings = KeyBindings() + + @bindings.add('y') + @bindings.add('Y') + def yes(event): + session.default_buffer.text = 'y' + event.app.exit(result=True) + + @bindings.add('n') + @bindings.add('N') + def no(event): + session.default_buffer.text = 'n' + event.app.exit(result=False) + + @bindings.add(Keys.Any) + def nothing(event): + " Disallow inserting other text. " + pass + + if default: + bindings.add(Keys.Enter)(yes) + elif default is not None: + bindings.add(Keys.Enter)(no) + else: + bindings.add(Keys.Enter)(nothing) + + complete_message = merge_formatted_text([message, yes_no_str(default)]) + session = PromptSession(complete_message, key_bindings=bindings) + return session.prompt() diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index b156b93b15..6a5ff9d596 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -21,7 +21,7 @@ from validphys.checks import (check_cuts_considered, check_pdf_is_montecarlo, check_speclabels_different, check_two_dataspecs) -from validphys.core import DataSetSpec, PDF, ExperimentSpec +from validphys.core import DataSetSpec, PDF, ExperimentSpec, get_covmatblock from validphys.calcutils import all_chi2, central_chi2, calc_chi2, calc_phi, bootstrap_values log = logging.getLogger(__name__) @@ -68,7 +68,7 @@ def __init__(self, dataobj, thcovmat=False): if isinstance(dataobj, Experiment): self._sqrtcovmat = dataobj.GetSqrtFitCovMat(str(thcovmat), []) else: - thcovslice = thcovmat[dataobj.GetSetName()] + thcovslice = get_covmatblock(thcovmat, dataobj.GetSetName()) self._sqrtcovmat = np.linalg.cholesky(self._covmat + thcovslice) else: self._sqrtcovmat = dataobj.get_sqrtcovmat() @@ -393,8 +393,8 @@ def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, fitthc log.debug("Setting T0 predictions for %s" % dataset) data.SetT0(t0set.load_t0()) - return DataResult(data, thcovmat=fitthcovmat), ThPredictionsResult.from_convolution(pdf, dataset, - loaded_data=data) + return (DataResult(data, thcovmat=fitthcovmat), + ThPredictionsResult.from_convolution(pdf, dataset, loaded_data=data)) def experiment_results(experiment, pdf:PDF, t0set:(PDF, type(None))=None, fitthcovmat=False): """Like `results` but for a whole experiment""" diff --git a/validphys2/src/validphys/scripts/vp_comparefits.py b/validphys2/src/validphys/scripts/vp_comparefits.py index 18baa0c773..3ef7eea875 100644 --- a/validphys2/src/validphys/scripts/vp_comparefits.py +++ b/validphys2/src/validphys/scripts/vp_comparefits.py @@ -11,6 +11,7 @@ from validphys.app import App from validphys import comparefittemplates, compareclosuretemplates +from validphys.promptutils import confirm log = logging.getLogger(__name__) @@ -126,41 +127,13 @@ def interactive_keywords(self): return [k.strip() for k in kwinp.split(',') if k] def interactive_theory_cov(self): - """Interactively fill in the `rc_useth` runcard flag. Only booleans are permitted - at present, since the option to pass a path to `rc_useth` has a high possibility of + """Interactively fill in the `use_theorycovmat` runcard flag. Only booleans are permitted + at present, since the option to pass a path to `use_theorycovmat` has a high possibility of producing incorrect results or errors, and has very specific use cases. """ - Keys = prompt_toolkit.keys.Keys - merge_formatted_text = prompt_toolkit.formatted_text.merge_formatted_text - PromptSession = prompt_toolkit.shortcuts.PromptSession - bindings = prompt_toolkit.key_binding.key_bindings.KeyBindings() - - @bindings.add('y') - @bindings.add('Y') - def yes(event): - session.default_buffer.text = 'y' - event.app.exit(result=True) - - @bindings.add('n') - @bindings.add('N') - def no(event): - session.default_buffer.text = 'n' - event.app.exit(result=False) - - @bindings.add(Keys.Any) - def nothing(event): - " Disallow inserting other text. " - pass - - # Set default to No - bindings.add(Keys.Enter)(no) - message = ("Do you want to use the fitted covariance matrix (including theory covariance\n" "matrix) to calculate the statistical estimators? ") - yes_no_str = prompt_toolkit.HTML('[y/N]') - complete_message = merge_formatted_text([message, yes_no_str]) - session = PromptSession(complete_message, key_bindings=bindings) - return session.prompt() + return confirm(message, default=True) def get_commandline_arguments(self, cmdline=None): args = super().get_commandline_arguments(cmdline) @@ -207,7 +180,7 @@ def complete_mapping(self): }, 'speclabel': 'Reference Fit' } - autosettings['rc_useth'] = args['theory_cov'] + autosettings['use_theorycovmat'] = args['theory_cov'] return autosettings diff --git a/validphys2/src/validphys/scripts/wiki_upload.py b/validphys2/src/validphys/scripts/wiki_upload.py index d8d1e65fac..bfc6eb1f12 100644 --- a/validphys2/src/validphys/scripts/wiki_upload.py +++ b/validphys2/src/validphys/scripts/wiki_upload.py @@ -12,68 +12,15 @@ import logging import pygments -from prompt_toolkit import HTML from prompt_toolkit.shortcuts import prompt from reportengine import colors +from validphys.promptutils import confirm log = logging.getLogger() log.setLevel(logging.INFO) log.addHandler(colors.ColorHandler()) -def yes_no_str(default=None): - """Return a yes or no string for the prompt, with the default - highlighted""" - if default is None: - return f'[y/n]' - elif default: - return HTML('[Y/n]') - else: - return HTML('[y/N]') - - -def confirm(message, default=None): - """ - This is like prompt_toolkit.shortcuts.confirm (implemented by - create_confirm_session) except that it doesn't bind control+c to "No", but - instead raises an exception. - - It also support defaults. - """ - from prompt_toolkit.key_binding.key_bindings import KeyBindings - from prompt_toolkit.keys import Keys - from prompt_toolkit.formatted_text import merge_formatted_text - from prompt_toolkit.shortcuts import PromptSession - bindings = KeyBindings() - - @bindings.add('y') - @bindings.add('Y') - def yes(event): - session.default_buffer.text = 'y' - event.app.exit(result=True) - - @bindings.add('n') - @bindings.add('N') - def no(event): - session.default_buffer.text = 'n' - event.app.exit(result=False) - - @bindings.add(Keys.Any) - def nothing(event): - " Disallow inserting other text. " - pass - - if default: - bindings.add(Keys.Enter)(yes) - elif default is not None: - bindings.add(Keys.Enter)(no) - else: - bindings.add(Keys.Enter)(nothing) - - complete_message = merge_formatted_text([message, yes_no_str(default)]) - session = PromptSession(complete_message, key_bindings=bindings) - return session.prompt() - def handle_single_file(filename): import tempfile out = pathlib.Path(tempfile.mkdtemp(prefix='vp-upload')) From 7c03d90ab12291d91c325bd278db5932bc49e672 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Tue, 26 Mar 2019 17:34:11 +0000 Subject: [PATCH 215/429] updated branch to use correct path --- libnnpdf/src/NNPDF/experiments.h | 6 ------ validphys2/src/validphys/config.py | 4 ++-- 2 files changed, 2 insertions(+), 8 deletions(-) diff --git a/libnnpdf/src/NNPDF/experiments.h b/libnnpdf/src/NNPDF/experiments.h index 85e0cf6f82..0dedb8df95 100644 --- a/libnnpdf/src/NNPDF/experiments.h +++ b/libnnpdf/src/NNPDF/experiments.h @@ -56,15 +56,9 @@ namespace NNPDF void SetT0(const PDFSet&); //! bmask = {}); //!< Read in covmat for rep gen, generate covmat and sqrt void LoadFitCovMat(std::string filename, bool ThUnc, std::vector bmask = {}); //!< Read in covmat for fitting, generate covmat and sqrt - matrix const& GetSqrtFitCovMat(std::string filename, std::vector bmask = {}); //temporary external function for calc sqrtcovmat with th error -======= - void LoadRepCovMat(std::string filename, std::vector bmask = {}); //!< Read in covmat for rep gen, generate covmat and sqrt - void LoadFitCovMat(std::string filename, std::vector bmask = {}); //!< Read in covmat for fitting, generate covmat and sqrt matrix GetSqrtFitCovMat(std::string filename, std::vector bmask = {}); //temporary external function for calc sqrtcovmat with th error ->>>>>>> changed implementation to use correct typings and not need any editing of swig interface file private: diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index b6fa08060c..984b879bda 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -719,8 +719,8 @@ def produce_fitthcovmat(self, fit, use_theorycovmat=True): ) if isinstance(use_theorycovmat, bool) and use_theorycovmat: use_theorycovmat = ( - fit.path/'tables'/ - 'datacuts_theory_theorycovmatconfig_fitting_t0_theory_covmat_custom.csv') + fit.path/'tables'/'datacuts_theory_theorycovmatconfig_theory_covmat.csv') + if not os.path.exists(use_theorycovmat): use_theorycovmat = False return self.parse_theorycovmat(use_theorycovmat) From 15d760a56f35ee8ae39bd51e9405ce17e04f2e8d Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 27 Mar 2019 18:35:58 +0000 Subject: [PATCH 216/429] changed produce_fitthcovmat to account for PR 410 -> boolean required in fit runcard if use_theorycovmat=True in vp runcard --- validphys2/src/validphys/config.py | 21 ++++++++++++++------- 1 file changed, 14 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 984b879bda..75203c72d0 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -714,15 +714,22 @@ def produce_fitthcovmat(self, fit, use_theorycovmat=True): else: raise ConfigError( f"No file found at {use_theorycovmat}. If specifying " - "`use_theorycovmat: ` then should point at a" - "valid theory covariance matrix." - ) + "`use_theorycovmat: ` then should point at a " + "valid theory covariance matrix.") if isinstance(use_theorycovmat, bool) and use_theorycovmat: - use_theorycovmat = ( - fit.path/'tables'/'datacuts_theory_theorycovmatconfig_theory_covmat.csv') - - if not os.path.exists(use_theorycovmat): + try: + use_theorycovmat = fit.as_input()['theorycovmatconfig']['use_thcovmat_in_fitting'] + except KeyError: + #assume covmat wasn't used and fill in key accordingly use_theorycovmat = False + #Now set as expected path and check it exists + if use_theorycovmat: + use_theorycovmat = ( + fit.path/'tables'/'datacuts_theory_theorycovmatconfig_theory_covmat.csv') + if not os.path.exists(use_theorycovmat): + raise ConfigError( + "Fit appeared to use theory covmat in fit but the file was not at the " + f"usual location: {use_theorycovmat}.") return self.parse_theorycovmat(use_theorycovmat) def parse_speclabel(self, label:(str, type(None))): From d66c89aa3106277b206fc463cf16ea8a0cda053f Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 29 Mar 2019 17:34:51 +0000 Subject: [PATCH 217/429] experiments_index no longer loads experiments, uses cuts info --- validphys2/src/validphys/results.py | 37 ++++++++++++----------------- 1 file changed, 15 insertions(+), 22 deletions(-) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index c92197ff91..5ed2ac35fd 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -143,29 +143,22 @@ def rawdata(self): return self.stats.data def experiments_index(experiments): - """Return an empy dataframe with index - per experiment per dataset per point""" + """Return a pandas.MultiIndex with levels for + experiment, dataset and point respectively""" records = [] - for exp_index, experiment in enumerate(experiments): - loaded_exp = experiment.load() - set_lens = [len(loaded_exp.GetSet(i)) for i in - range(len(experiment.datasets))] - #TODO: This code is very ugly and slow... - cum_sum = [sum(set_lens[:i+1]) for i in range(len(set_lens))] - curr_ds_domain = iter(enumerate(cum_sum)) - index_offset = 0 - ds_id, curr_ds_len = next(curr_ds_domain) - for index in range(cum_sum[-1]): - if index >= curr_ds_len: - index_offset = curr_ds_len - ds_id, curr_ds_len = next(curr_ds_domain) - dataset = experiment.datasets[ds_id] - - records.append(OrderedDict([ - ('experiment', str(experiment.name)), - ('dataset', str(dataset.name)), - ('id', index - index_offset), - ])) + for experiment in experiments: + for dataset in experiment.datasets: + if dataset.cuts: + ndata = len(dataset.cuts.load()) + else: + #No cuts - use all data + ndata = dataset.commondata.ndata + for idat in range(ndata): + records.append( + OrderedDict( + [('experiment', str(experiment.name)), + ('dataset', str(dataset.name)), + ('id', idat),])) columns = ['experiment', 'dataset', 'id'] df = pd.DataFrame(records, columns=columns) From 5c4576fa5d226c91a97ac01c6f4cbeb58a5e984c Mon Sep 17 00:00:00 2001 From: wilsonm Date: Sat, 30 Mar 2019 18:02:06 +0000 Subject: [PATCH 218/429] replaced OrderedDict with dict in DataFrame construction --- validphys2/src/validphys/results.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 5ed2ac35fd..3d39fc329a 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -155,7 +155,7 @@ def experiments_index(experiments): ndata = dataset.commondata.ndata for idat in range(ndata): records.append( - OrderedDict( + dict( [('experiment', str(experiment.name)), ('dataset', str(dataset.name)), ('id', idat),])) From feaa21ebc491758a0762c9c85a7d4dc523ae1463 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sun, 31 Mar 2019 18:56:50 +0200 Subject: [PATCH 219/429] Added files for single top ratio data --- .../DATA_ATLAS_SINGLETOP_TCH_R_13TEV.dat | 2 ++ .../commondata/DATA_ATLAS_SINGLETOP_TCH_R_7TEV.dat | 2 ++ .../commondata/DATA_ATLAS_SINGLETOP_TCH_R_8TEV.dat | 2 ++ .../commondata/DATA_CMS_SINGLETOP_TCH_R_13TEV.dat | 2 ++ .../commondata/DATA_CMS_SINGLETOP_TCH_R_8TEV.dat | 2 ++ .../commondata/DATA_CMS_SINGLETOP_TCH_TOT_7TEV.dat | 2 ++ .../PLOTTING_ATLAS_SINGLETOP_TCH_R_13TEV.yaml | 3 +++ .../PLOTTING_ATLAS_SINGLETOP_TCH_R_7TEV.yaml | 3 +++ .../PLOTTING_ATLAS_SINGLETOP_TCH_R_8TEV.yaml | 3 +++ .../PLOTTING_CMS_SINGLETOP_TCH_R_13TEV.yaml | 3 +++ .../PLOTTING_CMS_SINGLETOP_TCH_R_8TEV.yaml | 3 +++ .../PLOTTING_CMS_SINGLETOP_TCH_TOT_7TEV.yaml | 3 +++ ...SYSTYPE_ATLAS_SINGLETOP_TCH_R_13TEV_DEFAULT.dat | 2 ++ .../SYSTYPE_ATLAS_SINGLETOP_TCH_R_7TEV_DEFAULT.dat | 14 ++++++++++++++ .../SYSTYPE_ATLAS_SINGLETOP_TCH_R_8TEV_DEFAULT.dat | 2 ++ .../SYSTYPE_CMS_SINGLETOP_TCH_R_13TEV_DEFAULT.dat | 2 ++ .../SYSTYPE_CMS_SINGLETOP_TCH_R_8TEV_DEFAULT.dat | 2 ++ .../SYSTYPE_CMS_SINGLETOP_TCH_TOT_7TEV_DEFAULT.dat | 4 ++++ 18 files changed, 56 insertions(+) create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_R_13TEV.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_R_7TEV.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_R_8TEV.dat create mode 100644 nnpdfcpp/data/commondata/DATA_CMS_SINGLETOP_TCH_R_13TEV.dat create mode 100644 nnpdfcpp/data/commondata/DATA_CMS_SINGLETOP_TCH_R_8TEV.dat create mode 100644 nnpdfcpp/data/commondata/DATA_CMS_SINGLETOP_TCH_TOT_7TEV.dat create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_R_13TEV.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_R_7TEV.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_R_8TEV.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMS_SINGLETOP_TCH_R_13TEV.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMS_SINGLETOP_TCH_R_8TEV.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMS_SINGLETOP_TCH_TOT_7TEV.yaml create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_R_13TEV_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_R_7TEV_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_R_8TEV_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_SINGLETOP_TCH_R_13TEV_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_SINGLETOP_TCH_R_8TEV_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_SINGLETOP_TCH_TOT_7TEV_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_R_13TEV.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_R_13TEV.dat new file mode 100644 index 0000000000..cd938c2bbc --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_R_13TEV.dat @@ -0,0 +1,2 @@ +ATLAS_SINGLETOP_TCH_R_13TEV 1 1 + 1 INC 0.000000000000e+00 3.003289000000e+04 1.300000000000e+04 1.720000000000e+00 9.000000000000e-02 1.800000000000e-01 1.046511627907e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_R_7TEV.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_R_7TEV.dat new file mode 100644 index 0000000000..66d54243f4 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_R_7TEV.dat @@ -0,0 +1,2 @@ +ATLAS_SINGLETOP_TCH_R_7TEV 13 1 + 1 INC 0.000000000000e+00 3.003289000000e+04 7.000000000000e+03 2.040000000000e+00 1.264800000000e-01 7.344000000000e-02 3.600000000000e+00 3.264000000000e-02 1.600000000000e+00 3.876000000000e-02 1.900000000000e+00 3.672000000000e-02 1.800000000000e+00 2.448000000000e-02 1.200000000000e+00 2.040000000000e-02 1.000000000000e+00 2.040000000000e-02 1.000000000000e+00 3.264000000000e-02 1.600000000000e+00 2.040000000000e-02 1.000000000000e+00 5.100000000000e-02 2.500000000000e+00 3.264000000000e-02 1.600000000000e+00 2.040000000000e-02 1.000000000000e+00 1.020000000000e-02 5.000000000000e-01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_R_8TEV.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_R_8TEV.dat new file mode 100644 index 0000000000..507bed356c --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_R_8TEV.dat @@ -0,0 +1,2 @@ +ATLAS_SINGLETOP_TCH_R_8TEV 1 1 + 1 INC 0.000000000000e+00 3.003289000000e+04 8.000000000000e+03 1.720000000000e+00 5.000000000000e-02 7.000000000000e-02 4.069767441860e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CMS_SINGLETOP_TCH_R_13TEV.dat b/nnpdfcpp/data/commondata/DATA_CMS_SINGLETOP_TCH_R_13TEV.dat new file mode 100644 index 0000000000..e27795b136 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_CMS_SINGLETOP_TCH_R_13TEV.dat @@ -0,0 +1,2 @@ +CMS_SINGLETOP_TCH_R_13TEV 1 1 + 1 INC 0.000000000000e+00 3.003289000000e+04 1.300000000000e+04 1.810000000000e+00 1.800000000000e-01 1.500000000000e-01 8.287292817680e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CMS_SINGLETOP_TCH_R_8TEV.dat b/nnpdfcpp/data/commondata/DATA_CMS_SINGLETOP_TCH_R_8TEV.dat new file mode 100644 index 0000000000..18740df936 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_CMS_SINGLETOP_TCH_R_8TEV.dat @@ -0,0 +1,2 @@ +CMS_SINGLETOP_TCH_R_8TEV 1 1 + 1 INC 0.000000000000e+00 3.003289000000e+04 8.000000000000e+03 1.950000000000e+00 1.000000000000e-01 1.900000000000e-01 9.743589743590e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CMS_SINGLETOP_TCH_TOT_7TEV.dat b/nnpdfcpp/data/commondata/DATA_CMS_SINGLETOP_TCH_TOT_7TEV.dat new file mode 100644 index 0000000000..875f1e61bf --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_CMS_SINGLETOP_TCH_TOT_7TEV.dat @@ -0,0 +1,2 @@ +CMS_SINGLETOP_TCH_TOT_7TEV 3 1 + 1 INC 0.000000000000e+00 3.003289000000e+04 7.000000000000e+03 6.720000000000e+01 3.700000000000e+00 3.000000000000e+00 4.464285714286e+00 3.500000000000e+00 5.208333333333e+00 1.500000000000e+00 2.232142857143e+00 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_R_13TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_R_13TEV.yaml new file mode 100644 index 0000000000..b1a9d843fd --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_R_13TEV.yaml @@ -0,0 +1,3 @@ +dataset_label: "ATLAS single top $R_{t}$ 13 TeV" + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_R_7TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_R_7TEV.yaml new file mode 100644 index 0000000000..41faa7e045 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_R_7TEV.yaml @@ -0,0 +1,3 @@ +dataset_label: "ATLAS single top $R_{t}$ 7 TeV" + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_R_8TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_R_8TEV.yaml new file mode 100644 index 0000000000..2cd0f0a86a --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_R_8TEV.yaml @@ -0,0 +1,3 @@ +dataset_label: "ATLAS single top $R_{t}$ 8 TeV" + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMS_SINGLETOP_TCH_R_13TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMS_SINGLETOP_TCH_R_13TEV.yaml new file mode 100644 index 0000000000..1eee50f732 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMS_SINGLETOP_TCH_R_13TEV.yaml @@ -0,0 +1,3 @@ +dataset_label: "CMS single top $R_{t}$ 13 TeV" + +experiment: "CMS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMS_SINGLETOP_TCH_R_8TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMS_SINGLETOP_TCH_R_8TEV.yaml new file mode 100644 index 0000000000..90316933ad --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMS_SINGLETOP_TCH_R_8TEV.yaml @@ -0,0 +1,3 @@ +dataset_label: "CMS single top $R_{t}$ 8 TeV" + +experiment: "CMS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMS_SINGLETOP_TCH_TOT_7TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMS_SINGLETOP_TCH_TOT_7TEV.yaml new file mode 100644 index 0000000000..ad72ee95fb --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMS_SINGLETOP_TCH_TOT_7TEV.yaml @@ -0,0 +1,3 @@ +dataset_label: "CMS single top $\\sigma_{t}+\\sigma_{\\bar{t}}$ 7 TeV" + +experiment: "CMS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_R_13TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_R_13TEV_DEFAULT.dat new file mode 100644 index 0000000000..33f059a80f --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_R_13TEV_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_R_7TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_R_7TEV_DEFAULT.dat new file mode 100644 index 0000000000..9525b27625 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_R_7TEV_DEFAULT.dat @@ -0,0 +1,14 @@ +13 +1 MULT UNCORR +2 MULT UNCORR +3 MULT UNCORR +4 MULT UNCORR +5 MULT UNCORR +6 MULT UNCORR +7 MULT UNCORR +8 MULT UNCORR +9 MULT UNCORR +10 MULT UNCORR +11 MULT UNCORR +12 MULT UNCORR +13 MULT ATLASLUMI11 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_R_8TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_R_8TEV_DEFAULT.dat new file mode 100644 index 0000000000..33f059a80f --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_R_8TEV_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_SINGLETOP_TCH_R_13TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_SINGLETOP_TCH_R_13TEV_DEFAULT.dat new file mode 100644 index 0000000000..33f059a80f --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_SINGLETOP_TCH_R_13TEV_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_SINGLETOP_TCH_R_8TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_SINGLETOP_TCH_R_8TEV_DEFAULT.dat new file mode 100644 index 0000000000..33f059a80f --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_SINGLETOP_TCH_R_8TEV_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_SINGLETOP_TCH_TOT_7TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_SINGLETOP_TCH_TOT_7TEV_DEFAULT.dat new file mode 100644 index 0000000000..fc90817b80 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMS_SINGLETOP_TCH_TOT_7TEV_DEFAULT.dat @@ -0,0 +1,4 @@ +3 +1 MULT UNCORR +2 MULT UNCORR +3 MULT CMSLUMI11 From 45c014231d57da7a7bb966108046f06fb504cf1c Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sun, 31 Mar 2019 19:05:02 +0200 Subject: [PATCH 220/429] Added QCD NNLO cfactors for single top ratios --- .../CF_QCD_ATLAS_SINGLETOP_TCH_R_13TEV_T.dat | 10 ++ .../CF_QCD_ATLAS_SINGLETOP_TCH_R_13TEV_TB.dat | 10 ++ .../CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV_T.dat | 10 ++ .../CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV_TB.dat | 10 ++ .../CF_QCD_ATLAS_SINGLETOP_TCH_R_8TEV_T.dat | 10 ++ .../CF_QCD_ATLAS_SINGLETOP_TCH_R_8TEV_TB.dat | 10 ++ .../CF_QCD_CMS_SINGLETOP_TCH_R_13TEV_T.dat | 10 ++ .../CF_QCD_CMS_SINGLETOP_TCH_R_13TEV_TB.dat | 10 ++ .../CF_QCD_CMS_SINGLETOP_TCH_R_7TEV_T.dat | 10 ++ .../CF_QCD_CMS_SINGLETOP_TCH_R_7TEV_TB.dat | 10 ++ .../CF_QCD_CMS_SINGLETOP_TCH_R_8TEV_T.dat | 10 ++ .../CF_QCD_CMS_SINGLETOP_TCH_R_8TEV_TB.dat | 10 ++ nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat | 146 +++++++++--------- 13 files changed, 196 insertions(+), 70 deletions(-) create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_13TEV_T.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_13TEV_TB.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV_T.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV_TB.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_8TEV_T.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_8TEV_TB.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_13TEV_T.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_13TEV_TB.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_7TEV_T.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_7TEV_TB.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_8TEV_T.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_8TEV_TB.dat diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_13TEV_T.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_13TEV_T.dat new file mode 100644 index 0000000000..305f73195f --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_13TEV_T.dat @@ -0,0 +1,10 @@ +******************************************************************************** +SetName: CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9725 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_13TEV_TB.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_13TEV_TB.dat new file mode 100644 index 0000000000..f8327af419 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_13TEV_TB.dat @@ -0,0 +1,10 @@ +******************************************************************************** +SetName: CF_QCD_ATLAS_SINGLETOP_TCH_R_13TEV +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9696 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV_T.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV_T.dat new file mode 100644 index 0000000000..7e7a13dad8 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV_T.dat @@ -0,0 +1,10 @@ +******************************************************************************** +SetName: CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9755 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV_TB.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV_TB.dat new file mode 100644 index 0000000000..def602b334 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV_TB.dat @@ -0,0 +1,10 @@ +******************************************************************************** +SetName: CF_QCD_ATLAS_SINGLETOP_TCH_R_7TEV +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9732 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_8TEV_T.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_8TEV_T.dat new file mode 100644 index 0000000000..b24faf7ba0 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_8TEV_T.dat @@ -0,0 +1,10 @@ +******************************************************************************** +SetName: CF_QCD_ATLAS_SINGLETOP_TCH_R_8TEV +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9748 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_8TEV_TB.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_8TEV_TB.dat new file mode 100644 index 0000000000..98dbae4bdd --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_R_8TEV_TB.dat @@ -0,0 +1,10 @@ +******************************************************************************** +SetName: CF_QCD_ATLAS_SINGLETOP_TCH_R_8TEV +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9722 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_13TEV_T.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_13TEV_T.dat new file mode 100644 index 0000000000..97c5bd4c12 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_13TEV_T.dat @@ -0,0 +1,10 @@ +******************************************************************************** +SetName: CF_QCD_ATLAS_SINGLETOP_TCH_R_13TEV +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9725 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_13TEV_TB.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_13TEV_TB.dat new file mode 100644 index 0000000000..7522b18255 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_13TEV_TB.dat @@ -0,0 +1,10 @@ +******************************************************************************** +SetName: CF_QCD_CMS_SINGLETOP_TCH_R_13TEV +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9696 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_7TEV_T.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_7TEV_T.dat new file mode 100644 index 0000000000..4a00ae2278 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_7TEV_T.dat @@ -0,0 +1,10 @@ +******************************************************************************** +SetName: CF_QCD_CMS_SINGLETOP_TCH_TOT_7TEV +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9755 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_7TEV_TB.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_7TEV_TB.dat new file mode 100644 index 0000000000..36a2022470 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_7TEV_TB.dat @@ -0,0 +1,10 @@ +******************************************************************************** +SetName: CF_QCD_CMS_SINGLETOP_TCH_TOT_7TEV +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9732 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_8TEV_T.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_8TEV_T.dat new file mode 100644 index 0000000000..29e11ac982 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_8TEV_T.dat @@ -0,0 +1,10 @@ +******************************************************************************** +SetName: CF_QCD_CMS_SINGLETOP_TCH_R_8TEV +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9748 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_8TEV_TB.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_8TEV_TB.dat new file mode 100644 index 0000000000..0274c61de2 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_CMS_SINGLETOP_TCH_R_8TEV_TB.dat @@ -0,0 +1,10 @@ +******************************************************************************** +SetName: CF_QCD_CMS_SINGLETOP_TCH_R_8TEV +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9722 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat index c2cabb4ac3..08d290eb7b 100644 --- a/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat +++ b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat @@ -1,101 +1,101 @@ -DEUT BCDMSD BCDMSD -DEUT NMCPD NMCPD -DEUT SLACD SLACD +DEUT BCDMSD BCDMSD +DEUT NMCPD NMCPD +DEUT SLACD SLACD MMHT CMSDY2D12 CMSDY2D12 -EWK ATLASLOMASSDY11 ATLASLOMASSDY11 -EWK ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT +EWK ATLASLOMASSDY11 ATLASLOMASSDY11 +EWK ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT EWK ATLASWZRAP36PB ATLASWZRAP36PB -EWK ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB -EWK ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB +EWK ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB +EWK ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB EWK CMSDY2D11 CMSDY2D11 EWK CMSDY2D12 CMSDY2D12 EWK LHCBWZMU7TEV LHCBWZMU7TEV EWK LHCBWZMU8TEV LHCBWZMU8TEV EWK LHCBZ940PB LHCBZ940PB EWK LHCBZEE2FB LHCBZEE2FB -NRM ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB -NRM ATLASZPT7TEV ATLASZPT7TEV -NRM ATLASZPT7TEV_PTZ ATLASZPT7TEV -NRM ATLASZPT7TEV_TOT ATLASZPT7TEV MZ -NRM ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST -NRM ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST +NRM ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB +NRM ATLASZPT7TEV ATLASZPT7TEV +NRM ATLASZPT7TEV_PTZ ATLASZPT7TEV +NRM ATLASZPT7TEV_TOT ATLASZPT7TEV MZ +NRM ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST +NRM ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST NRM CMSZDIFF12 CMSZDIFF12 NRM LHCBWZMU7TEV LHCBWZMU7TEV NRM LHCBWZMU8TEV LHCBWZMU8TEV -NRM LHCBWZMU7TEV_PI LHCBWZMU7TEV -NRM LHCBWZMU8TEV_PI LHCBWZMU8TEV +NRM LHCBWZMU7TEV_PI LHCBWZMU7TEV +NRM LHCBWZMU8TEV_PI LHCBWZMU8TEV QCD ATLAS1JET11 ATLAS1JET11 -QCD ATLASLOMASSDY11 ATLASLOMASSDY11 -QCD ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT -QCD ATLASR04JETS2P76TEV ATLASR04JETS2P76TEV -QCD ATLASR04JETS36PB ATLASR04JETS36PB -QCD ATLASR06JETS36PB ATLASR06JETS36PB -QCD ATLASTOPDIFF8TEVTPT ATLASTOPDIFF8TEVTPT -QCD ATLASTOPDIFF8TEVTRAP ATLASTOPDIFF8TEVTRAP -QCD ATLASTOPDIFF8TEVTTM ATLASTOPDIFF8TEVTTM -QCD ATLASTOPDIFF8TEVTTPT ATLASTOPDIFF8TEVTTPT -QCD ATLASTOPDIFF8TEVTTRAP ATLASTOPDIFF8TEVTTRAP -QCD ATLASTOPDIFF8TEVTPT_NUM ATLASTOPDIFF8TEVTPTNORM -QCD ATLASTOPDIFF8TEVTTPT_NUM ATLASTOPDIFF8TEVTTPTNORM -QCD ATLASTOPDIFF8TEVTRAP_NUM ATLASTOPDIFF8TEVTRAPNORM -QCD ATLASTOPDIFF8TEVTTRAP_NUM ATLASTOPDIFF8TEVTTRAPNORM -QCD ATLASTOPDIFF8TEVTTM_NUM ATLASTOPDIFF8TEVTTMNORM -QCD ATLASTOPDIFF8TEVTPT_DEN ATLASTOPDIFF8TEVTPTNORM MT -QCD ATLASTOPDIFF8TEVTTPT_DEN ATLASTOPDIFF8TEVTTPTNORM MT -QCD ATLASTOPDIFF8TEVTRAP_DEN ATLASTOPDIFF8TEVTRAPNORM MT -QCD ATLASTOPDIFF8TEVTTRAP_DEN ATLASTOPDIFF8TEVTTRAPNORM MT -QCD ATLASTOPDIFF8TEVTTM_DEN ATLASTOPDIFF8TEVTTMNORM MT +QCD ATLASLOMASSDY11 ATLASLOMASSDY11 +QCD ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT +QCD ATLASR04JETS2P76TEV ATLASR04JETS2P76TEV +QCD ATLASR04JETS36PB ATLASR04JETS36PB +QCD ATLASR06JETS36PB ATLASR06JETS36PB +QCD ATLASTOPDIFF8TEVTPT ATLASTOPDIFF8TEVTPT +QCD ATLASTOPDIFF8TEVTRAP ATLASTOPDIFF8TEVTRAP +QCD ATLASTOPDIFF8TEVTTM ATLASTOPDIFF8TEVTTM +QCD ATLASTOPDIFF8TEVTTPT ATLASTOPDIFF8TEVTTPT +QCD ATLASTOPDIFF8TEVTTRAP ATLASTOPDIFF8TEVTTRAP +QCD ATLASTOPDIFF8TEVTPT_NUM ATLASTOPDIFF8TEVTPTNORM +QCD ATLASTOPDIFF8TEVTTPT_NUM ATLASTOPDIFF8TEVTTPTNORM +QCD ATLASTOPDIFF8TEVTRAP_NUM ATLASTOPDIFF8TEVTRAPNORM +QCD ATLASTOPDIFF8TEVTTRAP_NUM ATLASTOPDIFF8TEVTTRAPNORM +QCD ATLASTOPDIFF8TEVTTM_NUM ATLASTOPDIFF8TEVTTMNORM +QCD ATLASTOPDIFF8TEVTPT_DEN ATLASTOPDIFF8TEVTPTNORM MT +QCD ATLASTOPDIFF8TEVTTPT_DEN ATLASTOPDIFF8TEVTTPTNORM MT +QCD ATLASTOPDIFF8TEVTRAP_DEN ATLASTOPDIFF8TEVTRAPNORM MT +QCD ATLASTOPDIFF8TEVTTRAP_DEN ATLASTOPDIFF8TEVTTRAPNORM MT +QCD ATLASTOPDIFF8TEVTTM_DEN ATLASTOPDIFF8TEVTTMNORM MT QCD ATLASTTBARTOT ATLASTTBARTOT -QCD ATLASTTBARTOT13TEV ATLASTTBARTOT13TEV -QCD ATLASTTBARTOT7TEV ATLASTTBARTOT7TEV -QCD ATLASTTBARTOT8TEV ATLASTTBARTOT8TEV +QCD ATLASTTBARTOT13TEV ATLASTTBARTOT13TEV +QCD ATLASTTBARTOT7TEV ATLASTTBARTOT7TEV +QCD ATLASTTBARTOT8TEV ATLASTTBARTOT8TEV QCD ATLASWZRAP11 ATLASWZRAP11 QCD ATLASWZRAP11CC ATLASWZRAP11CC QCD ATLASWZRAP11CF ATLASWZRAP11CF QCD ATLASWZRAP36PB ATLASWZRAP36PB -QCD ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB -QCD ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB -QCD ATLASZPT7TEV_PTZ ATLASZPT7TEV -QCD ATLASZPT7TEV_TOT ATLASZPT7TEV MZ -QCD ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST -QCD ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST +QCD ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB +QCD ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB +QCD ATLASZPT7TEV_PTZ ATLASZPT7TEV +QCD ATLASZPT7TEV_TOT ATLASZPT7TEV MZ +QCD ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST +QCD ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST QCD CDFR2KT CDFR2KT QCD CDFZRAP CDFZRAP QCD CMSDY2D11 CMSDY2D11 QCD CMSDY2D12 CMSDY2D12 QCD CMSJETS11 CMSJETS11 -QCD CMSTOPDIFF8TEVTPT CMSTOPDIFF8TEVTPT -QCD CMSTOPDIFF8TEVTRAP CMSTOPDIFF8TEVTRAP -QCD CMSTOPDIFF8TEVTTM CMSTOPDIFF8TEVTTM -QCD CMSTOPDIFF8TEVTTPT CMSTOPDIFF8TEVTTPT -QCD CMSTOPDIFF8TEVTTRAP CMSTOPDIFF8TEVTTRAP -QCD CMSTOPDIFF8TEVTPT_NUM CMSTOPDIFF8TEVTPT -QCD CMSTOPDIFF8TEVTTPT_NUM CMSTOPDIFF8TEVTTPT -QCD CMSTOPDIFF8TEVTRAP_NUM CMSTOPDIFF8TEVTRAP -QCD CMSTOPDIFF8TEVTTRAP_NUM CMSTOPDIFF8TEVTTRAP -QCD CMSTOPDIFF8TEVTTM_NUM CMSTOPDIFF8TEVTTM -QCD CMSTOPDIFF8TEVTPT_DEN CMSTOPDIFF8TEVTPTNORM MT -QCD CMSTOPDIFF8TEVTTPT_DEN CMSTOPDIFF8TEVTTPTNORM MT -QCD CMSTOPDIFF8TEVTRAP_DEN CMSTOPDIFF8TEVTRAPNORM MT -QCD CMSTOPDIFF8TEVTTRAP_DEN CMSTOPDIFF8TEVTTRAPNORM MT -QCD CMSTOPDIFF8TEVTTM_DEN CMSTOPDIFF8TEVTTMNORM MT +QCD CMSTOPDIFF8TEVTPT CMSTOPDIFF8TEVTPT +QCD CMSTOPDIFF8TEVTRAP CMSTOPDIFF8TEVTRAP +QCD CMSTOPDIFF8TEVTTM CMSTOPDIFF8TEVTTM +QCD CMSTOPDIFF8TEVTTPT CMSTOPDIFF8TEVTTPT +QCD CMSTOPDIFF8TEVTTRAP CMSTOPDIFF8TEVTTRAP +QCD CMSTOPDIFF8TEVTPT_NUM CMSTOPDIFF8TEVTPT +QCD CMSTOPDIFF8TEVTTPT_NUM CMSTOPDIFF8TEVTTPT +QCD CMSTOPDIFF8TEVTRAP_NUM CMSTOPDIFF8TEVTRAP +QCD CMSTOPDIFF8TEVTTRAP_NUM CMSTOPDIFF8TEVTTRAP +QCD CMSTOPDIFF8TEVTTM_NUM CMSTOPDIFF8TEVTTM +QCD CMSTOPDIFF8TEVTPT_DEN CMSTOPDIFF8TEVTPTNORM MT +QCD CMSTOPDIFF8TEVTTPT_DEN CMSTOPDIFF8TEVTTPTNORM MT +QCD CMSTOPDIFF8TEVTRAP_DEN CMSTOPDIFF8TEVTRAPNORM MT +QCD CMSTOPDIFF8TEVTTRAP_DEN CMSTOPDIFF8TEVTTRAPNORM MT +QCD CMSTOPDIFF8TEVTTM_DEN CMSTOPDIFF8TEVTTMNORM MT QCD CMSTTBARTOT CMSTTBARTOT -QCD CMSTTBARTOT13TEV CMSTTBARTOT13TEV -QCD CMSTTBARTOT7TEV CMSTTBARTOT7TEV -QCD CMSTTBARTOT8TEV CMSTTBARTOT8TEV -QCD CMSWEASY840PB_WM CMSWEASY840PB -QCD CMSWEASY840PB_WP CMSWEASY840PB -QCD CMSWMASY47FB_WM CMSWMASY47FB -QCD CMSWMASY47FB_WP CMSWMASY47FB +QCD CMSTTBARTOT13TEV CMSTTBARTOT13TEV +QCD CMSTTBARTOT7TEV CMSTTBARTOT7TEV +QCD CMSTTBARTOT8TEV CMSTTBARTOT8TEV +QCD CMSWEASY840PB_WM CMSWEASY840PB +QCD CMSWEASY840PB_WP CMSWEASY840PB +QCD CMSWMASY47FB_WM CMSWMASY47FB +QCD CMSWMASY47FB_WP CMSWMASY47FB QCD CMSWMU8TEV CMSWMU8TEV QCD CMSZDIFF12 CMSZDIFF12 QCD D0WEASY_WM D0WEASY QCD D0WEASY_WP D0WEASY QCD D0WMASY_WM D0WMASY QCD D0WMASY_WP D0WMASY -QCD D0ZRAP D0ZRAP -QCD D0ZRAP_TOT D0ZRAP MZ -QCD DYE605 DYE605 +QCD D0ZRAP D0ZRAP +QCD D0ZRAP_TOT D0ZRAP MZ +QCD DYE605 DYE605 QCD DYE886P DYE886P QCD LHCBW36PB LHCBW36PB QCD LHCBWMU1FB LHCBWMU1FB @@ -104,4 +104,10 @@ QCD LHCBWZMU8TEV LHCBWZMU8TEV QCD LHCBZ940PB LHCBZ940PB QCD LHCBZEE2FB LHCBZEE2FB QCD TTBARTOT TTBARTOT -QCD ATLASPHT12 ATLASPHT12 +QCD ATLASPHT12 ATLASPHT12 +QCD CMS_SINGLETOP_TCH_R_7TEV_T CMS_SINGLETOP_TCH_TOT_7TEV +QCD CMS_SINGLETOP_TCH_R_7TEV_TB CMS_SINGLETOP_TCH_TOT_7TEV +QCD CMS_SINGLETOP_TCH_R_8TEV_T CMS_SINGLETOP_TCH_R_8TEV +QCD CMS_SINGLETOP_TCH_R_8TEV_TB CMS_SINGLETOP_TCH_R_8TEV +QCD CMS_SINGLETOP_TCH_R_13TEV_T CMS_SINGLETOP_TCH_R_13TEV +QCD CMS_SINGLETOP_TCH_R_13TEV_TB CMS_SINGLETOP_TCH_R_13TEV \ No newline at end of file From b4f575d857689d4c2520dd8f39147c88281e3908 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 3 Apr 2019 12:16:48 +0100 Subject: [PATCH 221/429] changed ThCovMatSpec().load() function so it returns matrix, so that lru_cache actually caches something --- validphys2/src/validphys/core.py | 15 +-------------- validphys2/src/validphys/results.py | 25 +++++++++++++++---------- 2 files changed, 16 insertions(+), 24 deletions(-) diff --git a/validphys2/src/validphys/core.py b/validphys2/src/validphys/core.py index 805d2f8ec6..c02276ead5 100644 --- a/validphys2/src/validphys/core.py +++ b/validphys2/src/validphys/core.py @@ -576,24 +576,11 @@ def __init__(self, path): # maxsize relatively low here, expect single experiments so one load per dataspec @functools.lru_cache(maxsize=8) def load(self): - self.data = parse_exp_mat(self.path) + return parse_exp_mat(self.path) def __str__(self): return str(self.path) -def get_covmatblock(covmat: ThCovMatSpec, datasetname: str): - """Given a loaded ThCovMatSpec object, returns the diagonal block of the covariance matrix for - a given dataset - """ - try: - section = covmat.data.xs( - datasetname, level=1, axis=0).xs( - datasetname, level=1, axis=1).values - return section - except AttributeError: - log.error("Tried to access part of covariance matrix before loading it") - raise - #TODO: Decide if we want methods or properties class Stats: diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 6a5ff9d596..066cfaa338 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -21,7 +21,7 @@ from validphys.checks import (check_cuts_considered, check_pdf_is_montecarlo, check_speclabels_different, check_two_dataspecs) -from validphys.core import DataSetSpec, PDF, ExperimentSpec, get_covmatblock +from validphys.core import DataSetSpec, PDF, ExperimentSpec, ThCovMatSpec from validphys.calcutils import all_chi2, central_chi2, calc_chi2, calc_phi, bootstrap_values log = logging.getLogger(__name__) @@ -57,24 +57,29 @@ def std_error(self): return self.stats.std_error() - +def get_covmatblock(covmat: pd.DataFrame, datasetname: str): + """Given a loaded ThCovMatSpec object, returns the diagonal block of the covariance matrix for + a given dataset + """ + section = covmat.xs( + datasetname, level=1, axis=0).xs( + datasetname, level=1, axis=1).values + return section class DataResult(NNPDFDataResult): def __init__(self, dataobj, thcovmat=False): super().__init__(dataobj) self._covmat = dataobj.get_covmat() - if thcovmat: - if isinstance(dataobj, Experiment): - self._sqrtcovmat = dataobj.GetSqrtFitCovMat(str(thcovmat), []) - else: - thcovslice = get_covmatblock(thcovmat, dataobj.GetSetName()) - self._sqrtcovmat = np.linalg.cholesky(self._covmat + thcovslice) + if isinstance(thcovmat, ThCovMatSpec): + self._sqrtcovmat = dataobj.GetSqrtFitCovMat(str(thcovmat), []) + elif isinstance(thcovmat, pd.DataFrame): + thcovslice = get_covmatblock(thcovmat, dataobj.GetSetName()) + self._sqrtcovmat = np.linalg.cholesky(self._covmat + thcovslice) else: self._sqrtcovmat = dataobj.get_sqrtcovmat() - @property def label(self): return "Data" @@ -385,7 +390,7 @@ def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, fitthc # only need to load thcov if specified and if dataset if fitthcovmat and isinstance(dataset, DataSetSpec): - fitthcovmat.load() + fitthcovmat = fitthcovmat.load() if t0set: #Copy data to avoid chaos From b383d4bb6f0f42783eafb27e5ae6782f800fd4c5 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 3 Apr 2019 12:22:46 +0100 Subject: [PATCH 222/429] addressed pylint issue with using log.warn --- validphys2/src/validphys/config.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 75203c72d0..b3e6ef198b 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -708,9 +708,9 @@ def produce_fitthcovmat(self, fit, use_theorycovmat=True): """ if isinstance(use_theorycovmat, str): if os.path.exists(use_theorycovmat): - log.warn("Using path to a covariance matrix, if the experiment specifications do " - "not match between generation and use of covariance matrix then this " - "will lead to incorrect results.") + log.warning("Using path to a covariance matrix, if the experiment specifications " + "do not match between generation and use of covariance matrix then " + "this will lead to incorrect results.") else: raise ConfigError( f"No file found at {use_theorycovmat}. If specifying " From 20728987362a1e656b913ee6f0457c760dd818d0 Mon Sep 17 00:00:00 2001 From: Zahari Date: Wed, 3 Apr 2019 14:24:01 +0100 Subject: [PATCH 223/429] Add ability to plot only lines in a band plot This is useful for some of the plots in the th unc paper. The interface needs to be improved in that we need a check similar to check_pdf_normalize_to for the list of pdfs, so we can know that we actually are plotting them and we support indexes (which is useful when doing many comparisons). --- validphys2/src/validphys/pdfplots.py | 41 ++++++++++++++++++++++------ 1 file changed, 33 insertions(+), 8 deletions(-) diff --git a/validphys2/src/validphys/pdfplots.py b/validphys2/src/validphys/pdfplots.py index ce456004b6..5f5728429a 100644 --- a/validphys2/src/validphys/pdfplots.py +++ b/validphys2/src/validphys/pdfplots.py @@ -377,6 +377,12 @@ def plot_pdfvardistances(pdfs, variance_distance_grids, *, class BandPDFPlotter(PDFPlotter): + def __init__(self, *args, line_only_pdfs=None ,**kwargs): + if line_only_pdfs is None: + line_only_pdfs = [] + self.line_only_pdfs = line_only_pdfs + super().__init__( *args, **kwargs) + def setup_flavour(self, flstate): flstate.handles=[] flstate.labels=[] @@ -400,13 +406,18 @@ def draw(self, pdf, grid, flstate): warnings.simplefilter('ignore', RuntimeWarning) err68down, err68up = stats.errorbar68() + #http://stackoverflow.com/questions/5195466/matplotlib-does-not-display-hatching-when-rendering-to-pdf + hatch = next(hatchit) color = next_prop['color'] - ax.plot(xgrid, cv, color=color) + cvline, = ax.plot(xgrid, cv, color=color) + if pdf.name in self.line_only_pdfs: + labels.append(pdf.label) + handles.append(cvline) + return [cv, cv] alpha = 0.5 ax.fill_between(xgrid, err68up, err68down, color=color, alpha=alpha, zorder=1) - #http://stackoverflow.com/questions/5195466/matplotlib-does-not-display-hatching-when-rendering-to-pdf - hatch = next(hatchit) + ax.fill_between(xgrid, err68up, err68down, facecolor='None', alpha=alpha, edgecolor=color, hatch=hatch, @@ -438,9 +449,16 @@ def legend(self, flstate): @figuregen @check_pdf_normalize_to -@check_scale('xscale', allow_none=True) -def plot_pdfs(pdfs, xplotting_grids, xscale:(str,type(None))=None, - normalize_to:(int,str,type(None))=None,ymin=None,ymax=None): +@check_scale("xscale", allow_none=True) +def plot_pdfs( + pdfs, + xplotting_grids, + xscale: (str, type(None)) = None, + normalize_to: (int, str, type(None)) = None, + ymin=None, + ymax=None, + line_only_pdfs: (list, type(None)) = None, +): """Plot the central value and the uncertainty of a list of pdfs as a function of x for a given value of Q. If normalize_to is given, plot the ratios to the corresponding PDF. Otherwise, plot absolute values. @@ -454,8 +472,15 @@ def plot_pdfs(pdfs, xplotting_grids, xscale:(str,type(None))=None, set based on the scale in xgrid, which should be used instead. """ - yield from BandPDFPlotter(pdfs, xplotting_grids, xscale, normalize_to, ymin, ymax) - + yield from BandPDFPlotter( + pdfs, + xplotting_grids, + xscale, + normalize_to, + ymin, + ymax, + line_only_pdfs=line_only_pdfs, + ) class FlavoursPlotter(AllFlavoursPlotter, BandPDFPlotter): def get_title(self, parton_name): From a2a5ccd4bd30f3c4a381d419ee086aba41658e25 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 3 Apr 2019 14:39:52 +0100 Subject: [PATCH 224/429] moved get_covmatblock to calcutils and gave more generic name --- validphys2/src/validphys/calcutils.py | 13 +++++++++++++ validphys2/src/validphys/results.py | 15 +++------------ 2 files changed, 16 insertions(+), 12 deletions(-) diff --git a/validphys2/src/validphys/calcutils.py b/validphys2/src/validphys/calcutils.py index f3427f8180..8b93d3397d 100644 --- a/validphys2/src/validphys/calcutils.py +++ b/validphys2/src/validphys/calcutils.py @@ -7,6 +7,7 @@ from typing import Callable import numpy as np import scipy.linalg as la +import pandas as pd def calc_chi2(sqrtcov, diffs): """Elementary function to compute the chi², given a Cholesky decomposed @@ -134,5 +135,17 @@ def bootstrap_values(data, nresamples, *, boot_seed:int=None, else: return apply_func(bootstrap_data, *args) +def get_df_block(matrix: pd.DataFrame, key: str, level=1): + """Given a pandas dataframe whose index and column keys match, and data represents a symmetric + matrix returns a diagonal block of this matrix corresponding to `matrix`[key`, key`] as a numpy + array + addtitionally, the user can specify the `level` of the key for which the cross section is being + taken, by default it is set to 1 which corresponds to the dataset level of a theory covariance + matrix + """ + block = matrix.xs( + key, level=level, axis=0).xs( + key, level=level, axis=1).values + return block diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 066cfaa338..6313d0e1a1 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -22,7 +22,8 @@ from validphys.checks import (check_cuts_considered, check_pdf_is_montecarlo, check_speclabels_different, check_two_dataspecs) from validphys.core import DataSetSpec, PDF, ExperimentSpec, ThCovMatSpec -from validphys.calcutils import all_chi2, central_chi2, calc_chi2, calc_phi, bootstrap_values +from validphys.calcutils import (all_chi2, central_chi2, calc_chi2, calc_phi, bootstrap_values, + get_df_block) log = logging.getLogger(__name__) @@ -56,16 +57,6 @@ def central_value(self): def std_error(self): return self.stats.std_error() - -def get_covmatblock(covmat: pd.DataFrame, datasetname: str): - """Given a loaded ThCovMatSpec object, returns the diagonal block of the covariance matrix for - a given dataset - """ - section = covmat.xs( - datasetname, level=1, axis=0).xs( - datasetname, level=1, axis=1).values - return section - class DataResult(NNPDFDataResult): def __init__(self, dataobj, thcovmat=False): @@ -74,7 +65,7 @@ def __init__(self, dataobj, thcovmat=False): if isinstance(thcovmat, ThCovMatSpec): self._sqrtcovmat = dataobj.GetSqrtFitCovMat(str(thcovmat), []) elif isinstance(thcovmat, pd.DataFrame): - thcovslice = get_covmatblock(thcovmat, dataobj.GetSetName()) + thcovslice = get_df_block(thcovmat, dataobj.GetSetName()) self._sqrtcovmat = np.linalg.cholesky(self._covmat + thcovslice) else: self._sqrtcovmat = dataobj.get_sqrtcovmat() From 6a8f9d85df420c985af2042d954036eb96f18597 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 3 Apr 2019 18:44:55 +0100 Subject: [PATCH 225/429] got rid of parse_thcovmat and cleaned up files --- validphys2/src/validphys/calcutils.py | 2 +- validphys2/src/validphys/config.py | 17 ++++++++--------- validphys2/src/validphys/results.py | 2 +- 3 files changed, 10 insertions(+), 11 deletions(-) diff --git a/validphys2/src/validphys/calcutils.py b/validphys2/src/validphys/calcutils.py index 8b93d3397d..44ed05442e 100644 --- a/validphys2/src/validphys/calcutils.py +++ b/validphys2/src/validphys/calcutils.py @@ -135,7 +135,7 @@ def bootstrap_values(data, nresamples, *, boot_seed:int=None, else: return apply_func(bootstrap_data, *args) -def get_df_block(matrix: pd.DataFrame, key: str, level=1): +def get_df_block(matrix: pd.DataFrame, key: str, level): """Given a pandas dataframe whose index and column keys match, and data represents a symmetric matrix returns a diagonal block of this matrix corresponding to `matrix`[key`, key`] as a numpy array diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index b3e6ef198b..af1e417c98 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -223,7 +223,6 @@ def produce_fitunderlyinglaw(self, fit): underlyinglaw = self.parse_pdf(datacuts['fakepdf']) return {'pdf': underlyinglaw} - def produce_fitpdfandbasis(self, fit): """ Set the PDF and basis from the fit config. """ with self.set_context(ns=self._curr_ns.new_child({'fit':fit})): @@ -694,12 +693,6 @@ def res(*args, **kwargs): res.__name__ = 'theory_covmat' return res - def parse_theorycovmat(self, path): - if path: - return ThCovMatSpec(path) - else: - return False - def produce_fitthcovmat(self, fit, use_theorycovmat=True): """If True, returns the corresponding covariance matrix for the given fit if it exists. If the fit doesn't have a theory covariance matrix then returns `False`. Alternatively if @@ -711,12 +704,13 @@ def produce_fitthcovmat(self, fit, use_theorycovmat=True): log.warning("Using path to a covariance matrix, if the experiment specifications " "do not match between generation and use of covariance matrix then " "this will lead to incorrect results.") + use_theorycovmat = ThCovMatSpec(use_theorycovmat) else: raise ConfigError( f"No file found at {use_theorycovmat}. If specifying " "`use_theorycovmat: ` then should point at a " "valid theory covariance matrix.") - if isinstance(use_theorycovmat, bool) and use_theorycovmat: + elif isinstance(use_theorycovmat, bool) and use_theorycovmat: try: use_theorycovmat = fit.as_input()['theorycovmatconfig']['use_thcovmat_in_fitting'] except KeyError: @@ -730,7 +724,12 @@ def produce_fitthcovmat(self, fit, use_theorycovmat=True): raise ConfigError( "Fit appeared to use theory covmat in fit but the file was not at the " f"usual location: {use_theorycovmat}.") - return self.parse_theorycovmat(use_theorycovmat) + use_theorycovmat = ThCovMatSpec(use_theorycovmat) + else: + raise ConfigError( + "use_theorycovmat should either be a bool or a path to a valid " + "theory covariance matrix CSV") + return use_theorycovmat def parse_speclabel(self, label:(str, type(None))): """A label for a dataspec. To be used in some plots""" diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 6313d0e1a1..52cbe599a8 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -65,7 +65,7 @@ def __init__(self, dataobj, thcovmat=False): if isinstance(thcovmat, ThCovMatSpec): self._sqrtcovmat = dataobj.GetSqrtFitCovMat(str(thcovmat), []) elif isinstance(thcovmat, pd.DataFrame): - thcovslice = get_df_block(thcovmat, dataobj.GetSetName()) + thcovslice = get_df_block(thcovmat, dataobj.GetSetName(), level=1) self._sqrtcovmat = np.linalg.cholesky(self._covmat + thcovslice) else: self._sqrtcovmat = dataobj.get_sqrtcovmat() From 1be196945d68871c2bbc110ebea77221bd166088 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Tue, 9 Apr 2019 16:16:48 +0200 Subject: [PATCH 226/429] First cleanup of useless data sets --- nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat | 116 +++++++++--------- .../data/commondata/DATA_ATLASLOMASSDY11.dat | 9 -- .../data/commondata/DATA_ATLASR06JETS36PB.dat | 91 -------------- .../commondata/DATA_ATLASTOPDIFF8TEVTPT.dat | 9 -- .../DATA_ATLASTOPDIFF8TEVTPTNORM.dat | 16 +-- .../commondata/DATA_ATLASTOPDIFF8TEVTRAP.dat | 11 -- .../commondata/DATA_ATLASTOPDIFF8TEVTTM.dat | 8 -- .../commondata/DATA_ATLASTOPDIFF8TEVTTRAP.dat | 11 -- .../commondata/DATA_ATLASTTBARTOT13TEV.dat | 2 - .../commondata/DATA_ATLASTTBARTOT7TEV.dat | 2 - .../commondata/DATA_ATLASTTBARTOT8TEV.dat | 2 - nnpdfcpp/data/commondata/DATA_CDFWASYM.dat | 14 --- .../commondata/DATA_CMSTOPDIFF8TEVTPT.dat | 9 -- .../commondata/DATA_CMSTOPDIFF8TEVTRAP.dat | 11 -- .../commondata/DATA_CMSTOPDIFF8TEVTTM.dat | 8 -- .../commondata/DATA_CMSTOPDIFF8TEVTTPT.dat | 7 -- .../DATA_CMSTOPDIFF8TEVTTPTNORM.dat | 7 -- .../commondata/DATA_CMSTOPDIFF8TEVTTRAP.dat | 11 -- .../data/commondata/DATA_CMSTTBARTOT13TEV.dat | 2 - .../data/commondata/DATA_CMSTTBARTOT7TEV.dat | 2 - .../data/commondata/DATA_CMSTTBARTOT8TEV.dat | 2 - .../PLOTTING_ATLASTOPDIFF8TEVTPTNORM.yaml | 7 ++ .../PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml | 7 ++ .../PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml | 7 ++ .../PLOTTING_CMSTOPDIFF8TEVTPTNORM.yaml | 7 ++ .../PLOTTING_CMSTOPDIFF8TEVTRAPNORM.yaml | 7 ++ .../PLOTTING_CMSTOPDIFF8TEVTTMNORM.yaml | 7 ++ .../PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml | 5 +- .../SYSTYPE_ATLASLOMASSDY11_DEFAULT.dat | 16 --- .../SYSTYPE_ATLASR06JETS36PB_DEFAULT.dat | 92 -------------- .../SYSTYPE_ATLASTOPDIFF8TEVTPT_DEFAULT.dat | 66 ---------- .../SYSTYPE_ATLASTOPDIFF8TEVTRAP_DEFAULT.dat | 58 --------- .../SYSTYPE_ATLASTOPDIFF8TEVTTM_DEFAULT.dat | 65 ---------- .../SYSTYPE_ATLASTOPDIFF8TEVTTRAP_DEFAULT.dat | 58 --------- .../SYSTYPE_ATLASTTBARTOT13TEV_DEFAULT.dat | 4 - .../SYSTYPE_ATLASTTBARTOT7TEV_DEFAULT.dat | 4 - .../SYSTYPE_ATLASTTBARTOT8TEV_DEFAULT.dat | 4 - .../systypes/SYSTYPE_CDFWASYM_DEFAULT.dat | 8 -- .../SYSTYPE_CMSTOPDIFF8TEVTPT_DEFAULT.dat | 22 ---- .../SYSTYPE_CMSTOPDIFF8TEVTRAP_DEFAULT.dat | 24 ---- .../SYSTYPE_CMSTOPDIFF8TEVTTM_DEFAULT.dat | 21 ---- ...SYSTYPE_CMSTOPDIFF8TEVTTPTNORM_DEFAULT.dat | 18 --- .../SYSTYPE_CMSTOPDIFF8TEVTTPT_DEFAULT.dat | 20 --- .../SYSTYPE_CMSTOPDIFF8TEVTTRAP_DEFAULT.dat | 24 ---- .../SYSTYPE_CMSTTBARTOT13TEV_DEFAULT.dat | 3 - .../SYSTYPE_CMSTTBARTOT7TEV_DEFAULT.dat | 3 - .../SYSTYPE_CMSTTBARTOT8TEV_DEFAULT.dat | 3 - 47 files changed, 110 insertions(+), 800 deletions(-) delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASLOMASSDY11.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASR06JETS36PB.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTPT.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTRAP.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAP.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTTBARTOT13TEV.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTTBARTOT7TEV.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTTBARTOT8TEV.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CDFWASYM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPT.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTRAP.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTPT.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTPTNORM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTRAP.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTTBARTOT13TEV.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTTBARTOT7TEV.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTTBARTOT8TEV.dat create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTPTNORM.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTPTNORM.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTRAPNORM.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTMNORM.yaml delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASLOMASSDY11_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR06JETS36PB_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPT_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTTBARTOT13TEV_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTTBARTOT7TEV_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTTBARTOT8TEV_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFWASYM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPTNORM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT13TEV_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT7TEV_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT8TEV_DEFAULT.dat diff --git a/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat index c2cabb4ac3..352b63ecbc 100644 --- a/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat +++ b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat @@ -1,30 +1,30 @@ -DEUT BCDMSD BCDMSD -DEUT NMCPD NMCPD -DEUT SLACD SLACD -MMHT CMSDY2D12 CMSDY2D12 +DEUT BCDMSD BCDMSD +DEUT NMCPD NMCPD +DEUT SLACD SLACD +MMHT CMSDY2D12 CMSDY2D12 EWK ATLASLOMASSDY11 ATLASLOMASSDY11 EWK ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT -EWK ATLASWZRAP36PB ATLASWZRAP36PB +EWK ATLASWZRAP36PB ATLASWZRAP36PB EWK ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB EWK ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB -EWK CMSDY2D11 CMSDY2D11 -EWK CMSDY2D12 CMSDY2D12 -EWK LHCBWZMU7TEV LHCBWZMU7TEV -EWK LHCBWZMU8TEV LHCBWZMU8TEV -EWK LHCBZ940PB LHCBZ940PB -EWK LHCBZEE2FB LHCBZEE2FB +EWK CMSDY2D11 CMSDY2D11 +EWK CMSDY2D12 CMSDY2D12 +EWK LHCBWZMU7TEV LHCBWZMU7TEV +EWK LHCBWZMU8TEV LHCBWZMU8TEV +EWK LHCBZ940PB LHCBZ940PB +EWK LHCBZEE2FB LHCBZEE2FB NRM ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB -NRM ATLASZPT7TEV ATLASZPT7TEV +NRM ATLASZPT7TEV ATLASZPT7TEV NRM ATLASZPT7TEV_PTZ ATLASZPT7TEV -NRM ATLASZPT7TEV_TOT ATLASZPT7TEV MZ +NRM ATLASZPT7TEV_TOT ATLASZPT7TEV MZ NRM ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST NRM ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST -NRM CMSZDIFF12 CMSZDIFF12 -NRM LHCBWZMU7TEV LHCBWZMU7TEV -NRM LHCBWZMU8TEV LHCBWZMU8TEV +NRM CMSZDIFF12 CMSZDIFF12 +NRM LHCBWZMU7TEV LHCBWZMU7TEV +NRM LHCBWZMU8TEV LHCBWZMU8TEV NRM LHCBWZMU7TEV_PI LHCBWZMU7TEV NRM LHCBWZMU8TEV_PI LHCBWZMU8TEV -QCD ATLAS1JET11 ATLAS1JET11 +QCD ATLAS1JET11 ATLAS1JET11 QCD ATLASLOMASSDY11 ATLASLOMASSDY11 QCD ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT QCD ATLASR04JETS2P76TEV ATLASR04JETS2P76TEV @@ -35,35 +35,35 @@ QCD ATLASTOPDIFF8TEVTRAP ATLASTOPDIFF8TEVTRAP QCD ATLASTOPDIFF8TEVTTM ATLASTOPDIFF8TEVTTM QCD ATLASTOPDIFF8TEVTTPT ATLASTOPDIFF8TEVTTPT QCD ATLASTOPDIFF8TEVTTRAP ATLASTOPDIFF8TEVTTRAP -QCD ATLASTOPDIFF8TEVTPT_NUM ATLASTOPDIFF8TEVTPTNORM -QCD ATLASTOPDIFF8TEVTTPT_NUM ATLASTOPDIFF8TEVTTPTNORM -QCD ATLASTOPDIFF8TEVTRAP_NUM ATLASTOPDIFF8TEVTRAPNORM -QCD ATLASTOPDIFF8TEVTTRAP_NUM ATLASTOPDIFF8TEVTTRAPNORM -QCD ATLASTOPDIFF8TEVTTM_NUM ATLASTOPDIFF8TEVTTMNORM -QCD ATLASTOPDIFF8TEVTPT_DEN ATLASTOPDIFF8TEVTPTNORM MT -QCD ATLASTOPDIFF8TEVTTPT_DEN ATLASTOPDIFF8TEVTTPTNORM MT -QCD ATLASTOPDIFF8TEVTRAP_DEN ATLASTOPDIFF8TEVTRAPNORM MT -QCD ATLASTOPDIFF8TEVTTRAP_DEN ATLASTOPDIFF8TEVTTRAPNORM MT -QCD ATLASTOPDIFF8TEVTTM_DEN ATLASTOPDIFF8TEVTTMNORM MT -QCD ATLASTTBARTOT ATLASTTBARTOT +QCD ATLASTOPDIFF8TEVTPT_NUM ATLASTOPDIFF8TEVTPTNORM +QCD ATLASTOPDIFF8TEVTTPT_NUM ATLASTOPDIFF8TEVTTPTNORM +QCD ATLASTOPDIFF8TEVTRAP_NUM ATLASTOPDIFF8TEVTRAPNORM +QCD ATLASTOPDIFF8TEVTTRAP_NUM ATLASTOPDIFF8TEVTTRAPNORM +QCD ATLASTOPDIFF8TEVTTM_NUM ATLASTOPDIFF8TEVTTMNORM +QCD ATLASTOPDIFF8TEVTPT_DEN ATLASTOPDIFF8TEVTPTNORM MT +QCD ATLASTOPDIFF8TEVTTPT_DEN ATLASTOPDIFF8TEVTTPTNORM MT +QCD ATLASTOPDIFF8TEVTRAP_DEN ATLASTOPDIFF8TEVTRAPNORM MT +QCD ATLASTOPDIFF8TEVTTRAP_DEN ATLASTOPDIFF8TEVTTRAPNORM MT +QCD ATLASTOPDIFF8TEVTTM_DEN ATLASTOPDIFF8TEVTTMNORM MT +QCD ATLASTTBARTOT ATLASTTBARTOT QCD ATLASTTBARTOT13TEV ATLASTTBARTOT13TEV QCD ATLASTTBARTOT7TEV ATLASTTBARTOT7TEV QCD ATLASTTBARTOT8TEV ATLASTTBARTOT8TEV -QCD ATLASWZRAP11 ATLASWZRAP11 -QCD ATLASWZRAP11CC ATLASWZRAP11CC -QCD ATLASWZRAP11CF ATLASWZRAP11CF -QCD ATLASWZRAP36PB ATLASWZRAP36PB +QCD ATLASWZRAP11 ATLASWZRAP11 +QCD ATLASWZRAP11CC ATLASWZRAP11CC +QCD ATLASWZRAP11CF ATLASWZRAP11CF +QCD ATLASWZRAP36PB ATLASWZRAP36PB QCD ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB QCD ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB QCD ATLASZPT7TEV_PTZ ATLASZPT7TEV -QCD ATLASZPT7TEV_TOT ATLASZPT7TEV MZ +QCD ATLASZPT7TEV_TOT ATLASZPT7TEV MZ QCD ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST QCD ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST -QCD CDFR2KT CDFR2KT -QCD CDFZRAP CDFZRAP -QCD CMSDY2D11 CMSDY2D11 -QCD CMSDY2D12 CMSDY2D12 -QCD CMSJETS11 CMSJETS11 +QCD CDFR2KT CDFR2KT +QCD CDFZRAP CDFZRAP +QCD CMSDY2D11 CMSDY2D11 +QCD CMSDY2D12 CMSDY2D12 +QCD CMSJETS11 CMSJETS11 QCD CMSTOPDIFF8TEVTPT CMSTOPDIFF8TEVTPT QCD CMSTOPDIFF8TEVTRAP CMSTOPDIFF8TEVTRAP QCD CMSTOPDIFF8TEVTTM CMSTOPDIFF8TEVTTM @@ -72,14 +72,14 @@ QCD CMSTOPDIFF8TEVTTRAP CMSTOPDIFF8TEVTTRAP QCD CMSTOPDIFF8TEVTPT_NUM CMSTOPDIFF8TEVTPT QCD CMSTOPDIFF8TEVTTPT_NUM CMSTOPDIFF8TEVTTPT QCD CMSTOPDIFF8TEVTRAP_NUM CMSTOPDIFF8TEVTRAP -QCD CMSTOPDIFF8TEVTTRAP_NUM CMSTOPDIFF8TEVTTRAP +QCD CMSTOPDIFF8TEVTTRAP_NUM CMSTOPDIFF8TEVTTRAP QCD CMSTOPDIFF8TEVTTM_NUM CMSTOPDIFF8TEVTTM QCD CMSTOPDIFF8TEVTPT_DEN CMSTOPDIFF8TEVTPTNORM MT QCD CMSTOPDIFF8TEVTTPT_DEN CMSTOPDIFF8TEVTTPTNORM MT QCD CMSTOPDIFF8TEVTRAP_DEN CMSTOPDIFF8TEVTRAPNORM MT -QCD CMSTOPDIFF8TEVTTRAP_DEN CMSTOPDIFF8TEVTTRAPNORM MT +QCD CMSTOPDIFF8TEVTTRAP_DEN CMSTOPDIFF8TEVTTRAPNORM MT QCD CMSTOPDIFF8TEVTTM_DEN CMSTOPDIFF8TEVTTMNORM MT -QCD CMSTTBARTOT CMSTTBARTOT +QCD CMSTTBARTOT CMSTTBARTOT QCD CMSTTBARTOT13TEV CMSTTBARTOT13TEV QCD CMSTTBARTOT7TEV CMSTTBARTOT7TEV QCD CMSTTBARTOT8TEV CMSTTBARTOT8TEV @@ -87,21 +87,21 @@ QCD CMSWEASY840PB_WM CMSWEASY840PB QCD CMSWEASY840PB_WP CMSWEASY840PB QCD CMSWMASY47FB_WM CMSWMASY47FB QCD CMSWMASY47FB_WP CMSWMASY47FB -QCD CMSWMU8TEV CMSWMU8TEV -QCD CMSZDIFF12 CMSZDIFF12 -QCD D0WEASY_WM D0WEASY -QCD D0WEASY_WP D0WEASY -QCD D0WMASY_WM D0WMASY -QCD D0WMASY_WP D0WMASY -QCD D0ZRAP D0ZRAP -QCD D0ZRAP_TOT D0ZRAP MZ -QCD DYE605 DYE605 -QCD DYE886P DYE886P -QCD LHCBW36PB LHCBW36PB -QCD LHCBWMU1FB LHCBWMU1FB -QCD LHCBWZMU7TEV LHCBWZMU7TEV -QCD LHCBWZMU8TEV LHCBWZMU8TEV -QCD LHCBZ940PB LHCBZ940PB -QCD LHCBZEE2FB LHCBZEE2FB -QCD TTBARTOT TTBARTOT +QCD CMSWMU8TEV CMSWMU8TEV +QCD CMSZDIFF12 CMSZDIFF12 +QCD D0WEASY_WM D0WEASY +QCD D0WEASY_WP D0WEASY +QCD D0WMASY_WM D0WMASY +QCD D0WMASY_WP D0WMASY +QCD D0ZRAP D0ZRAP +QCD D0ZRAP_TOT D0ZRAP MZ +QCD DYE605 DYE605 +QCD DYE886P DYE886P +QCD LHCBW36PB LHCBW36PB +QCD LHCBWMU1FB LHCBWMU1FB +QCD LHCBWZMU7TEV LHCBWZMU7TEV +QCD LHCBWZMU8TEV LHCBWZMU8TEV +QCD LHCBZ940PB LHCBZ940PB +QCD LHCBZEE2FB LHCBZEE2FB +QCD TTBARTOT TTBARTOT QCD ATLASPHT12 ATLASPHT12 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASLOMASSDY11.dat b/nnpdfcpp/data/commondata/DATA_ATLASLOMASSDY11.dat deleted file mode 100644 index 94301b9f16..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASLOMASSDY11.dat +++ /dev/null @@ -1,9 +0,0 @@ -ATLASLOMASSDY11 15 8 - 1 EWK_MLL 0.000000000000000e+00 8.122500000000000e+02 7.000000000000000e+03 1.950000000000000e+03 1.755000000000000e+01 3.120000000000000e+01 1.600000000000000e+00 1.950000000000000e+00 1.000000000000000e-01 7.800000000000000e+00 4.000000000000000e-01 -2.340000000000000e+01 -1.200000000000000e+00 1.365000000000000e+01 7.000000000000000e-01 -7.800000000000000e+00 -4.000000000000000e-01 -1.170000000000000e+01 -6.000000000000000e-01 7.800000000000000e+00 4.000000000000000e-01 9.750000000000000e+00 5.000000000000000e-01 -2.535000000000000e+01 -1.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.170000000000000e+01 -6.000000000000000e-01 -5.850000000000001e+00 -3.000000000000000e-01 1.560000000000000e+01 8.000000000000000e-01 3.509999999999999e+01 1.800000000000000e+00 - 2 EWK_MLL 0.000000000000000e+00 1.122250000000000e+03 7.000000000000000e+03 3.240000000000000e+03 2.268000000000000e+01 4.536000000000000e+01 1.400000000000000e+00 3.240000000000000e+00 1.000000000000000e-01 9.720000000000001e+00 3.000000000000000e-01 -3.564000000000001e+01 -1.100000000000000e+00 1.944000000000000e+01 6.000000000000000e-01 -9.720000000000001e+00 -3.000000000000000e-01 -1.296000000000000e+01 -4.000000000000000e-01 6.480000000000000e+00 2.000000000000000e-01 6.480000000000000e+00 2.000000000000000e-01 -3.564000000000001e+01 -1.100000000000000e+00 -1.296000000000000e+01 -4.000000000000000e-01 -1.296000000000000e+01 -4.000000000000000e-01 -1.296000000000000e+01 -4.000000000000000e-01 2.268000000000000e+01 7.000000000000000e-01 5.831999999999999e+01 1.800000000000000e+00 - 3 EWK_MLL 0.000000000000000e+00 1.482250000000000e+03 7.000000000000000e+03 2.630000000000000e+03 2.104000000000000e+01 3.156000000000000e+01 1.200000000000000e+00 5.260000000000000e+00 2.000000000000000e-01 5.260000000000000e+00 2.000000000000000e-01 -2.630000000000000e+01 -1.000000000000000e+00 1.315000000000000e+01 5.000000000000000e-01 -5.260000000000000e+00 -2.000000000000000e-01 -5.260000000000000e+00 -2.000000000000000e-01 7.890000000000001e+00 3.000000000000000e-01 7.890000000000001e+00 3.000000000000000e-01 -2.104000000000000e+01 -8.000000000000000e-01 -1.578000000000000e+01 -6.000000000000000e-01 -5.260000000000000e+00 -2.000000000000000e-01 -7.890000000000001e+00 -3.000000000000000e-01 1.315000000000000e+01 5.000000000000000e-01 4.733999999999999e+01 1.800000000000000e+00 - 4 EWK_MLL 0.000000000000000e+00 1.892250000000000e+03 7.000000000000000e+03 1.990000000000000e+03 1.791000000000000e+01 2.189000000000000e+01 1.100000000000000e+00 3.980000000000000e+00 2.000000000000000e-01 3.980000000000000e+00 2.000000000000000e-01 -1.990000000000000e+01 -1.000000000000000e+00 7.960000000000000e+00 4.000000000000000e-01 -3.980000000000000e+00 -2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 5.970000000000000e+00 3.000000000000000e-01 7.960000000000000e+00 4.000000000000000e-01 -9.950000000000001e+00 -5.000000000000000e-01 -3.980000000000000e+00 -2.000000000000000e-01 -3.980000000000000e+00 -2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 7.960000000000000e+00 4.000000000000000e-01 3.581999999999999e+01 1.800000000000000e+00 - 5 EWK_MLL 0.000000000000000e+00 2.352250000000000e+03 7.000000000000000e+03 1.520000000000000e+03 1.368000000000000e+01 1.672000000000000e+01 1.100000000000000e+00 3.040000000000000e+00 2.000000000000000e-01 4.560000000000000e+00 3.000000000000000e-01 -1.216000000000000e+01 -8.000000000000000e-01 6.080000000000000e+00 4.000000000000000e-01 -1.520000000000000e+00 -1.000000000000000e-01 1.520000000000000e+00 1.000000000000000e-01 3.040000000000000e+00 2.000000000000000e-01 4.560000000000000e+00 3.000000000000000e-01 -6.080000000000000e+00 -4.000000000000000e-01 -4.560000000000000e+00 -3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 -3.040000000000000e+00 -2.000000000000000e-01 6.080000000000000e+00 4.000000000000000e-01 2.736000000000000e+01 1.800000000000000e+00 - 6 EWK_MLL 0.000000000000000e+00 2.862250000000000e+03 7.000000000000000e+03 1.230000000000000e+03 1.230000000000000e+01 1.230000000000000e+01 1.000000000000000e+00 2.460000000000000e+00 2.000000000000000e-01 3.690000000000000e+00 3.000000000000000e-01 -9.840000000000000e+00 -8.000000000000000e-01 3.690000000000000e+00 3.000000000000000e-01 -1.230000000000000e+00 -1.000000000000000e-01 1.230000000000000e+00 1.000000000000000e-01 2.460000000000000e+00 2.000000000000000e-01 2.460000000000000e+00 2.000000000000000e-01 -2.460000000000000e+00 -2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 -2.460000000000000e+00 -2.000000000000000e-01 1.230000000000000e+00 1.000000000000000e-01 3.690000000000000e+00 3.000000000000000e-01 2.214000000000000e+01 1.800000000000000e+00 - 7 EWK_MLL 0.000000000000000e+00 3.422250000000000e+03 7.000000000000000e+03 1.010000000000000e+03 1.010000000000000e+01 1.010000000000000e+01 1.000000000000000e+00 3.030000000000000e+00 3.000000000000000e-01 3.030000000000000e+00 3.000000000000000e-01 -7.070000000000000e+00 -7.000000000000000e-01 3.030000000000000e+00 3.000000000000000e-01 -1.010000000000000e+00 -1.000000000000000e-01 2.020000000000000e+00 2.000000000000000e-01 2.020000000000000e+00 2.000000000000000e-01 2.020000000000000e+00 2.000000000000000e-01 -2.020000000000000e+00 -2.000000000000000e-01 -1.010000000000000e+00 -1.000000000000000e-01 -1.010000000000000e+00 -1.000000000000000e-01 -1.010000000000000e+00 -1.000000000000000e-01 2.020000000000000e+00 2.000000000000000e-01 1.818000000000000e+01 1.800000000000000e+00 - 8 EWK_MLL 0.000000000000000e+00 4.032250000000000e+03 7.000000000000000e+03 9.100000000000000e+02 9.100000000000000e+00 5.460000000000000e+00 6.000000000000000e-01 2.730000000000000e+00 3.000000000000000e-01 2.730000000000000e+00 3.000000000000000e-01 -5.460000000000000e+00 -6.000000000000000e-01 2.730000000000000e+00 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.820000000000000e+00 2.000000000000000e-01 9.100000000000000e-01 1.000000000000000e-01 9.100000000000000e-01 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 6.370000000000000e+00 7.000000000000000e-01 -9.100000000000000e-01 -1.000000000000000e-01 1.820000000000000e+00 2.000000000000000e-01 9.100000000000000e-01 1.000000000000000e-01 1.638000000000000e+01 1.800000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASR06JETS36PB.dat b/nnpdfcpp/data/commondata/DATA_ATLASR06JETS36PB.dat deleted file mode 100644 index e2ea627e7e..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASR06JETS36PB.dat +++ /dev/null @@ -1,91 +0,0 @@ -ATLASR06JETS36PB 91 90 - 1 JET 1.500000000000000e-01 6.250000000000000e+02 7.000000000000000e+03 6.327329192546584e+06 3.606577639751552e+04 2.214565217391304e+05 3.500000000000000e+00 1.179005439604954e+06 1.863354037267081e+01 4.365857142857143e+04 6.899999999999999e-01 6.327329192546584e+04 1.000000000000000e+00 2.088018633540373e+04 3.300000000000000e-01 7.909161490683230e+05 1.250000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.960062111801243e+05 1.100000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.807360248447205e+05 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0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.734973437499999e+02 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.478533482142857e+01 -5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.057182790178571e+03 4.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -7.435600446428570e+01 -1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.982826785714286e+02 4.000000000000000e-01 6.444187053571428e+02 1.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.957066964285713e+02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 5 JET 1.500000000000000e-01 9.025000000000000e+03 7.000000000000000e+03 1.075294444444444e+04 9.032473333333331e+01 3.763530555555555e+02 3.500000000000000e+00 2.986929012345678e+02 2.777777777777778e+00 5.161413333333332e+01 4.800000000000000e-01 1.075294444444444e+02 1.000000000000000e+00 1.075294444444444e+01 1.000000000000000e-01 -4.838824999999999e+01 -4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.720590277777777e+02 6.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.451647500000000e+02 1.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.408707222222221e+02 4.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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6.553636666666667e+01 3.500000000000000e+00 3.566604988662131e+01 1.904761904761905e+00 6.928130190476189e+00 3.700000000000000e-01 1.872467619047619e+01 1.000000000000000e+00 1.310727333333333e+00 7.000000000000001e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.051610761904760e+01 4.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.962039190476190e+01 2.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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0.000000000000000e+00 0.000000000000000e+00 - 7 JET 1.500000000000000e-01 3.422500000000000e+04 7.000000000000000e+03 3.144256730769231e+02 2.106652009615384e+00 1.100489855769231e+01 3.500000000000000e+00 6.046647559171598e+00 1.923076923076923e+00 1.414915528846154e+00 4.500000000000000e-01 3.144256730769231e+00 1.000000000000000e+00 1.886554038461539e-01 6.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.807947620192308e+01 5.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.352030394230769e+01 4.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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0.000000000000000e+00 2.358192548076923e+00 7.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.839390187500000e+01 5.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.703428990384617e+00 2.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.207574710887767e+00 3.840572873934304e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -9.432770192307693e-01 -3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.446358096153846e+01 4.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.144256730769231e-01 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.515405384615385e+00 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.144256730769231e+00 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 8 JET 1.500000000000000e-01 5.522500000000000e+04 7.000000000000000e+03 7.694646601941747e+01 6.925181941747572e-01 2.693126310679612e+00 3.500000000000000e+00 7.470530681496841e-01 9.708737864077669e-01 2.000608116504854e-01 2.600000000000000e-01 7.694646601941747e-01 1.000000000000000e+00 3.847323300970874e-02 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.309306155339806e+00 6.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.770072776699029e+00 3.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.618308252427185e-01 1.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.038777291262136e+00 1.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.846715184466020e+00 2.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.847323300970873e-01 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.501368262135922e+00 5.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.116027815533981e+00 2.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.538929320388349e-01 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.578314728155340e+00 5.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.694646601941747e-02 1.000000000000000e-01 7.694646601941747e-02 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.694646601941747e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 9 JET 1.500000000000000e-01 8.122500000000000e+04 7.000000000000000e+03 2.536762745098039e+01 2.105513078431372e-01 8.878669607843136e-01 3.500000000000000e+00 2.487022299115725e-01 9.803921568627451e-01 6.088230588235294e-02 2.400000000000000e-01 2.536762745098039e-01 1.000000000000000e+00 1.268381372549020e-02 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.116175607843137e+00 4.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.961392450980392e-01 2.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.917277156862745e-01 1.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.073525490196078e-01 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.200363627450979e-01 2.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.014705098039216e-01 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.496690019607843e+00 5.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.512860294117647e-01 3.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.141543235294117e-01 4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.699631039215686e+00 6.699999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.073525490196078e-02 2.000000000000000e-01 7.610288235294116e-02 3.000000000000000e-01 1.775733921568627e-01 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.536762745098039e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 10 JET 1.500000000000000e-01 1.260250000000000e+05 7.000000000000000e+03 7.150874509803921e+00 6.650313294117646e-02 2.502806078431372e-01 3.500000000000000e+00 7.010661284121490e-02 9.803921568627451e-01 1.930736117647059e-02 2.700000000000000e-01 7.150874509803921e-02 1.000000000000000e+00 3.575437254901961e-03 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.751964254901961e-01 2.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.894981745098039e-01 2.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.932980980392157e-02 5.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.859227372549019e-01 2.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.358666156862745e-01 1.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.217893529411764e-02 4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.505050941176470e-01 6.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.967612921568628e-01 4.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.217893529411764e-02 4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.934103411764706e-01 6.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.430174901960784e-02 2.000000000000000e-01 1.430174901960784e-02 2.000000000000000e-01 2.860349803921569e-02 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.150874509803921e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 11 JET 1.500000000000000e-01 2.025000000000000e+05 7.000000000000000e+03 1.597960784313726e+00 2.556737254901961e-02 5.592862745098039e-02 3.500000000000000e+00 1.566628219915417e-02 9.803921568627451e-01 3.355717647058823e-03 2.100000000000000e-01 1.597960784313725e-02 1.000000000000000e+00 7.989803921568628e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.634086274509804e-02 2.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.275819607843137e-02 2.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.755207843137254e-02 2.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.476839215686275e-02 1.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.989803921568627e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.062643921568628e-01 6.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.389294117647060e-02 5.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.246409411764706e-01 7.800000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.793882352941176e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.278368627450980e-02 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.597960784313725e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 12 JET 1.500000000000000e-01 3.025000000000000e+05 7.000000000000000e+03 4.135316831683168e-01 1.232324415841584e-02 1.447360891089109e-02 3.500000000000000e+00 4.094373100676404e-03 9.900990099009901e-01 1.323301386138614e-03 3.200000000000000e-01 4.135316831683168e-03 1.000000000000000e+00 2.067658415841584e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.178565297029703e-02 2.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.097697029702971e-03 2.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.515019306930693e-03 8.500000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.219918465346535e-02 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.409741089108910e-03 1.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.067658415841584e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.915398366336633e-02 7.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.439836930693070e-02 5.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.894721782178217e-03 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.804491485148515e-02 9.199999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.240595049504950e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.654126732673267e-03 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.135316831683168e-04 1.000000000000000e-01 4.135316831683168e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 13 JET 1.500000000000000e-01 4.900000000000000e+05 7.000000000000000e+03 7.675551485148514e-02 4.037340081188118e-03 2.686443019801980e-03 3.500000000000000e+00 7.599555925889619e-04 9.900990099009901e-01 1.074577207920792e-04 1.400000000000000e-01 7.675551485148514e-04 1.000000000000000e+00 1.611865811881188e-04 2.100000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.494554232673267e-03 3.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.684264712871287e-03 4.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.907996336633663e-04 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.494554232673267e-03 3.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.036199450495049e-03 1.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.686443019801980e-04 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.986930158415841e-03 7.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.835597435643564e-03 6.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.675551485148514e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.790684757425742e-03 1.015000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.535110297029703e-04 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 4.605330891089108e-04 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.675551485148514e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 14 JET 1.500000000000000e-01 8.100000000000000e+05 7.000000000000000e+03 1.190164356435643e-02 1.701935029702970e-03 4.165575247524752e-04 3.500000000000000e+00 1.178380550926380e-04 9.900990099009901e-01 2.023279405940594e-05 1.700000000000000e-01 1.190164356435644e-04 1.000000000000000e+00 2.499345148514851e-05 2.100000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.510984851485149e-04 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.021969702970298e-04 5.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.155577915604188e-05 5.172040216394300e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.558853366336633e-04 2.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.309180792079208e-04 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.582365654205852e-05 4.690415759823430e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.759347722772275e-04 8.199999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.866724455445543e-04 7.449999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.618361584158416e-04 2.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.428197227722772e-03 1.200000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.950821782178218e-05 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 8.331150495049503e-05 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.190164356435644e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 15 JET 1.500000000000000e-01 1.210000000000000e+06 7.000000000000000e+03 1.553265346534653e-03 5.281102178217821e-04 5.436428712871287e-05 3.500000000000000e+00 1.537886481717479e-05 9.900990099009901e-01 1.553265346534653e-06 1.000000000000000e-01 1.553265346534653e-05 1.000000000000000e+00 3.261857227722772e-06 2.100000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.650173564356434e-05 2.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.009622475247525e-04 6.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.106530693069307e-06 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.582132772277227e-05 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.397938811881188e-05 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.213061386138614e-06 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.281443910891089e-04 8.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.335808198019802e-04 8.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.766326732673267e-05 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.407561287128713e-04 1.550000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.087285742574257e-05 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.019244950495049e-05 1.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.553265346534653e-05 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 16 JET 1.500000000000000e-01 1.822500000000000e+06 7.000000000000000e+03 4.024369306930693e-04 2.370353521782178e-04 1.408529257425743e-05 3.500000000000000e+00 3.984524066268013e-06 9.900990099009901e-01 5.231680099009901e-07 1.300000000000000e-01 4.024369306930693e-06 1.000000000000000e+00 8.451175544554456e-07 2.100000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.048738613861386e-06 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.937789594059406e-05 7.300000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.835335495049506e-06 1.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.911575420792079e-05 4.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.420713910891089e-06 8.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.414621584158416e-06 6.000000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.823150841584159e-05 9.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.984125613861386e-05 9.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.621932376237624e-05 9.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.646301683168317e-05 1.900000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.414621584158416e-06 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 8.853612475247526e-06 2.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.024369306930694e-07 1.000000000000000e-01 4.024369306930693e-06 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 17 JET 5.500000000000000e-01 6.250000000000000e+02 7.000000000000000e+03 6.335040625000000e+06 3.040819500000000e+04 2.217264218750000e+05 3.500000000000000e+00 1.187820117187500e+06 1.875000000000000e+01 4.497878843750000e+04 7.100000000000000e-01 6.335040625000000e+04 1.000000000000000e+00 1.900512187500000e+04 3.000000000000000e-01 7.285296718750000e+05 1.150000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.986613390624999e+05 9.449999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.552304843750000e+05 1.350000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.163058109375000e+05 8.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.945793890625000e+05 4.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.362033734375000e+05 2.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.755742671875000e+05 4.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.945793890625000e+05 4.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.868836984375000e+05 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.701536562500000e+04 9.000000000000000e-01 1.710460968750000e+05 2.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.267008125000000e+05 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 18 JET 5.500000000000000e-01 1.406250000000000e+03 7.000000000000000e+03 9.795192307692308e+05 1.008904807692308e+04 3.428317307692308e+04 3.500000000000000e+00 1.054866863905326e+05 1.076923076923077e+01 4.603740384615385e+03 4.700000000000000e-01 9.795192307692309e+03 1.000000000000000e+00 1.959038461538462e+03 2.000000000000000e-01 7.934105769230769e+04 8.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.354408653846155e+04 9.550000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.452360576923078e+04 9.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.346394230769231e+04 7.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.693677884615384e+04 2.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.497774038461538e+04 2.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.281389423076923e+04 3.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.652716346153846e+04 4.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.281389423076923e+04 3.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.469278846153846e+03 -1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.856634615384615e+03 7.000000000000000e-01 2.742653846153846e+04 2.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.795192307692308e+02 1.000000000000000e-01 9.795192307692309e+03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 19 JET 5.500000000000000e-01 2.756250000000000e+03 7.000000000000000e+03 1.959038461538462e+05 3.996438461538462e+03 6.856634615384615e+03 3.500000000000000e+00 1.172074293228140e+04 5.982905982905984e+00 6.073019230769231e+02 3.100000000000000e-01 1.959038461538462e+03 1.000000000000000e+00 3.722173076923077e+02 1.900000000000000e-01 3.722173076923078e+03 1.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.577025961538462e+04 8.050000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.292965384615385e+04 6.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.444346153846154e+03 3.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.134461538461539e+03 1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.975067307692308e+03 3.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.624221153846154e+03 1.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.423865384615385e+03 4.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.540997523036432e+02 2.828427124746191e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.918076923076924e+02 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.191451923076923e+03 2.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.523829974378608e+02 3.840572873934304e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.795192307692308e+02 5.000000000000000e-01 3.134461538461539e+03 1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.959038461538462e+02 1.000000000000000e-01 1.959038461538462e+03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 20 JET 5.500000000000000e-01 4.900000000000000e+03 7.000000000000000e+03 4.838824999999999e+04 3.919448250000000e+02 1.693588750000000e+03 3.500000000000000e+00 2.160189732142857e+03 4.464285714285714e+00 1.451647500000000e+02 3.000000000000000e-01 4.838824999999999e+02 1.000000000000000e+00 7.742119999999998e+01 1.600000000000000e-01 -5.080766249999999e+02 -1.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.879100875000000e+03 5.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.814559375000000e+03 3.750000000000000e+00 0.000000000000000e+00 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0.000000000000000e+00 0.000000000000000e+00 6.774354999999999e+02 1.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.153277125000000e+03 4.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.451647500000000e+02 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.113001250000000e+02 8.500000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.742120000000000e+02 1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.451647500000000e+02 3.000000000000000e-01 5.806589999999999e+02 1.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.838824999999999e+02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 21 JET 5.500000000000000e-01 9.025000000000000e+03 7.000000000000000e+03 1.065862037037037e+04 5.009551574074074e+01 3.730517129629629e+02 3.500000000000000e+00 2.960727880658436e+02 2.777777777777778e+00 4.689792962962962e+01 4.400000000000000e-01 1.065862037037037e+02 1.000000000000000e+00 1.172448240740741e+01 1.100000000000000e-01 -5.329310185185184e+01 -5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.968827407407406e+02 5.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.065862037037037e+02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 22 JET 5.500000000000000e-01 1.822500000000000e+04 7.000000000000000e+03 1.823958095238095e+03 8.390207238095238e+00 6.383853333333334e+01 3.500000000000000e+00 3.474205895691610e+01 1.904761904761905e+00 6.748644952380952e+00 3.700000000000000e-01 1.823958095238095e+01 1.000000000000000e+00 1.459166476190476e+00 8.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.666977904761907e+01 5.300000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.651093142857142e+01 2.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.012707809523810e+01 2.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.383853333333333e+00 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.377499428571429e+01 2.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.276770666666667e+01 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.210988380952382e+01 5.050000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.735937142857143e+01 1.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.823958095238095e+00 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.210988380952379e+01 5.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.823958095238095e+00 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.459166476190476e+01 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.823958095238095e+01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 23 JET 5.500000000000000e-01 3.422500000000000e+04 7.000000000000000e+03 2.967943269230769e+02 1.454292201923077e+00 1.038780144230769e+01 3.500000000000000e+00 5.707583210059171e+00 1.923076923076923e+00 1.246536173076923e+00 4.200000000000000e-01 2.967943269230769e+00 1.000000000000000e+00 2.077560288461539e-01 7.000000000000001e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.068459576923077e+01 3.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.716652499999999e+00 2.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.232680865384615e+00 2.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.006723413461538e+00 1.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.974666682692307e+00 2.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.225957451923077e+00 7.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.706567379807692e+01 5.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.271461009615384e+00 2.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.139860241118359e+00 3.840572873934304e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.929163125000000e+01 6.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.935886538461538e-01 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.483971634615384e+00 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.967943269230769e+00 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 24 JET 5.500000000000000e-01 5.522500000000000e+04 7.000000000000000e+03 7.388047572815535e+01 4.580589495145631e-01 2.585816650485437e+00 3.500000000000000e+00 7.172861721180129e-01 9.708737864077669e-01 2.438055699029127e-01 3.300000000000000e-01 7.388047572815535e-01 1.000000000000000e+00 5.171633300970875e-02 7.000000000000001e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.327234985436894e+00 3.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.216414271844660e+00 3.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.973864223300973e-01 1.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.625370466019418e+00 2.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.292908325242718e+00 1.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.324621407766991e-01 4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.654469970873787e+00 6.300000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.327234985436894e+00 3.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.799617344660195e+00 7.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.477609514563107e-01 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 5.910438058252429e-01 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.388047572815535e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 25 JET 5.500000000000000e-01 8.122500000000000e+04 7.000000000000000e+03 2.386953921568627e+01 1.408302813725490e-01 8.354338725490195e-01 3.500000000000000e+00 2.340150903498654e-01 9.803921568627451e-01 6.444775588235294e-02 2.700000000000000e-01 2.386953921568627e-01 1.000000000000000e+00 1.670867745098039e-02 7.000000000000001e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.905858774509803e-01 4.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.444775588235294e-01 2.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.461083186274510e-01 1.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.683470980392155e-01 2.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.535212450980391e-01 1.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.432172352941176e-01 6.000000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.623128666666666e+00 6.800000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.712381813725490e-01 3.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.580430882352940e-02 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.016976063725489e+00 8.449999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.386953921568627e-02 1.000000000000000e-01 2.386953921568627e-02 1.000000000000000e-01 1.670867745098039e-01 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.386953921568627e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 26 JET 5.500000000000000e-01 1.260250000000000e+05 7.000000000000000e+03 6.781346078431372e+00 4.746942254901960e-02 2.373471127450980e-01 3.500000000000000e+00 6.648378508266051e-02 9.803921568627451e-01 1.898776901960784e-02 2.800000000000000e-01 6.781346078431372e-02 1.000000000000000e+00 4.746942254901961e-03 7.000000000000001e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.610818240196078e-01 3.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.000497093137255e-01 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.425076862745098e-02 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.034403823529412e-01 3.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.017201911764706e-01 1.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.034403823529412e-02 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.645222063725490e-01 6.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.814258622549020e-01 4.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.604425379758430e-02 3.840572873934304e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.204931661764705e-01 9.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.356269215686274e-02 2.000000000000000e-01 1.356269215686274e-02 2.000000000000000e-01 2.712538431372549e-02 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.781346078431372e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 27 JET 5.500000000000000e-01 2.025000000000000e+05 7.000000000000000e+03 1.438164705882353e+00 2.114102117647058e-02 5.033576470588235e-02 3.500000000000000e+00 1.409965397923875e-02 9.803921568627451e-01 3.307778823529412e-03 2.300000000000000e-01 1.438164705882353e-02 1.000000000000000e+00 1.006715294117647e-03 7.000000000000001e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.615557647058823e-02 4.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.530218823529412e-02 3.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.020145882352941e-02 2.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.653889411764706e-02 1.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.595411764705882e-03 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.491887058823528e-02 6.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.327924705882353e-02 4.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.380638117647059e-01 9.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.438164705882353e-03 1.000000000000000e-01 2.876329411764706e-03 2.000000000000000e-01 1.150531764705882e-02 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.438164705882353e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 28 JET 5.500000000000000e-01 3.025000000000000e+05 7.000000000000000e+03 3.711699009900990e-01 1.009582130693069e-02 1.299094653465347e-02 3.500000000000000e+00 3.674949514753455e-03 9.900990099009901e-01 7.794567920792079e-04 2.100000000000000e-01 3.711699009900990e-03 1.000000000000000e+00 9.279247524752475e-04 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.206302178217822e-02 3.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.753133465346534e-03 1.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.154944158415842e-03 8.500000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.351322772277228e-03 2.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.268453861386139e-03 1.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.299094653465346e-03 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.523955326732674e-02 6.800000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.911524990099010e-02 5.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.855849504950495e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.897283960396040e-02 1.050000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.113509702970297e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.855849504950495e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.711699009900990e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 29 JET 5.500000000000000e-01 4.900000000000000e+05 7.000000000000000e+03 7.564603960396039e-02 3.373813366336633e-03 2.647611386138614e-03 3.500000000000000e+00 7.489706891481226e-04 9.900990099009901e-01 1.361628712871287e-04 1.800000000000000e-01 7.564603960396039e-04 1.000000000000000e+00 1.891150990099010e-04 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.815504950495049e-03 2.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.429913366336634e-04 8.500000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.025841584158416e-04 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.345027227722772e-03 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.186373762376237e-04 9.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.404071782178218e-04 4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.522160891089110e-03 7.300000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.614408415841584e-03 6.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.321064356435644e-04 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.455754950495049e-03 1.250000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.269381188118812e-04 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.025841584158416e-04 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.564603960396039e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 30 JET 5.500000000000000e-01 8.100000000000000e+05 7.000000000000000e+03 9.168300000000001e-03 1.091027700000000e-03 3.208905000000000e-04 3.500000000000000e+00 9.077524752475250e-05 9.900990099009901e-01 1.283562000000000e-05 1.400000000000000e-01 9.168300000000001e-05 1.000000000000000e+00 2.292075000000000e-05 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.584150000000001e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.329403500000000e-04 1.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.959395000000001e-05 6.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.979697500000000e-04 3.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.500980000000000e-05 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.521152428009189e-05 3.840572873934304e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.793055000000001e-04 8.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.371968500000001e-04 6.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.796331500000000e-04 3.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.375245000000000e-03 1.500000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.667320000000001e-05 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 8.251470000000001e-05 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.168300000000001e-05 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 31 JET 5.500000000000000e-01 1.210000000000000e+06 7.000000000000000e+03 1.623868316831683e-03 4.676740752475247e-04 5.683539108910891e-05 3.500000000000000e+00 1.607790412704637e-05 9.900990099009901e-01 1.948641980198020e-06 1.200000000000000e-01 1.623868316831683e-05 1.000000000000000e+00 4.059670792079208e-06 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.093662574257425e-05 5.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.004156386138614e-05 1.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.743209900990101e-06 6.000000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.845925940594059e-05 3.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.217901237623762e-05 7.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.743209900990101e-06 6.000000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.631987658415842e-04 1.005000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.339691361386139e-04 8.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.039275722772277e-04 6.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.922962970297030e-04 1.800000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.743209900990098e-06 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.273415643564356e-05 1.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.623868316831683e-05 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 32 JET 5.500000000000000e-01 1.822500000000000e+06 7.000000000000000e+03 2.370242574257425e-04 1.391332391089109e-04 8.295849009900989e-06 3.500000000000000e+00 2.346774825997451e-06 9.900990099009901e-01 3.081315346534654e-07 1.300000000000000e-01 2.370242574257425e-06 1.000000000000000e+00 5.925606435643564e-07 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.599913737623762e-05 6.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.096021534653466e-06 2.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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3.500000000000000e+00 3.067649886621315e+01 1.904761904761905e+00 9.824148761904761e+00 6.100000000000000e-01 1.610516190476190e+01 1.000000000000000e+00 1.288412952380952e+00 8.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.777313238095236e+01 5.449999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.509445333333332e+01 2.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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0.000000000000000e+00 - 39 JET 1.000000000000000e+00 3.422500000000000e+04 7.000000000000000e+03 2.546750000000000e+02 1.629920000000000e+00 8.913624999999998e+00 3.500000000000000e+00 4.897596153846153e+00 1.923076923076923e+00 1.731790000000000e+00 6.800000000000000e-01 2.546749999999999e+00 1.000000000000000e+00 1.528050000000000e-01 6.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.913624999999998e+00 3.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.366874999999999e+00 2.500000000000000e+00 0.000000000000000e+00 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2.546749999999999e+00 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 40 JET 1.000000000000000e+00 5.522500000000000e+04 7.000000000000000e+03 6.102309708737864e+01 5.858217320388349e-01 2.135808398058253e+00 3.500000000000000e+00 5.924572532755208e-01 9.708737864077669e-01 3.173201048543689e-01 5.200000000000000e-01 6.102309708737864e-01 1.000000000000000e+00 3.661385825242718e-02 6.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.922227558252427e+00 3.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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7.400555882352940e-01 3.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.505526470588235e-01 1.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.737573529411764e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.324310000000000e+00 6.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.400555882352940e-01 3.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.921272058823529e-02 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.674862647058823e+00 8.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.895029411764706e-02 2.000000000000000e-01 1.947514705882353e-02 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.310775000000000e-01 1.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.947514705882353e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 42 JET 1.000000000000000e+00 1.260250000000000e+05 7.000000000000000e+03 5.233321568627451e+00 5.861320156862746e-02 1.831662549019608e-01 3.500000000000000e+00 5.130707420222991e-02 9.803921568627451e-01 2.459661137254902e-02 4.700000000000000e-01 5.233321568627451e-02 1.000000000000000e+00 3.139992941176470e-03 6.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.093328627450980e-01 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.622329686274510e-01 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.233321568627451e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.596163078431372e-01 3.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.936328980392157e-01 3.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.111648431372549e-02 1.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.569996470588235e-02 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.558658666666667e-01 6.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.276494882352941e-01 4.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.009895285704591e-02 3.840572873934304e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.762322627450981e-01 9.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.233321568627452e-03 1.000000000000000e-01 5.233321568627452e-03 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 7.326650196078431e-02 1.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.233321568627452e-03 1.000000000000000e-01 5.233321568627451e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 43 JET 1.000000000000000e+00 2.025000000000000e+05 7.000000000000000e+03 1.098598039215686e+00 2.153252156862745e-02 3.845093137254902e-02 3.500000000000000e+00 1.077056901191849e-02 9.803921568627451e-01 3.845093137254901e-03 3.500000000000000e-01 1.098598039215686e-02 1.000000000000000e+00 6.591588235294117e-04 6.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.163410784313726e-02 4.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.405653921568627e-02 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.239485294117646e-03 7.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.142266176470588e-02 1.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.009882843137255e-02 3.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.263387745098039e-02 1.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.746495098039215e-03 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.305676960784313e-02 6.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.888761274509804e-02 4.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.054654117647059e-01 9.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.197196078431373e-03 2.000000000000000e-01 3.295794117647059e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 7.690186274509803e-03 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.098598039215686e-03 1.000000000000000e-01 1.098598039215686e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 44 JET 1.000000000000000e+00 3.025000000000000e+05 7.000000000000000e+03 2.541706930693070e-01 8.463884079207921e-03 8.895974257425743e-03 3.500000000000000e+00 2.516541515537693e-03 9.900990099009901e-01 9.404315643564356e-04 3.700000000000000e-01 2.541706930693069e-03 1.000000000000000e+00 7.116779405940596e-04 2.800000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.387632871287128e-03 3.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.812560396039604e-03 1.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.287536237623763e-03 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.227181980198021e-03 2.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.042099841584158e-02 4.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.795877623762377e-03 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.016682772277228e-03 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.830028990099010e-02 7.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.397938811881188e-02 5.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.270853465346535e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.795877623762377e-02 1.100000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.625120792079208e-04 3.000000000000000e-01 7.625120792079208e-04 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 5.083413861386140e-04 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.083413861386140e-04 2.000000000000000e-01 2.541706930693069e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 45 JET 1.000000000000000e+00 4.900000000000000e+05 7.000000000000000e+03 4.760657425742574e-02 3.108709299009901e-03 1.666230099009901e-03 3.500000000000000e+00 4.713522203705519e-04 9.900990099009901e-01 1.237770930693069e-04 2.600000000000000e-01 4.760657425742574e-04 1.000000000000000e+00 2.427935287128713e-04 5.100000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.213967643564356e-03 2.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.046558811881188e-04 8.500000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.523410376237624e-03 3.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.094689267326733e-03 4.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.284591683168316e-04 8.999999999999999e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.666230099009901e-04 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.808525940594059e-03 8.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.142033900990099e-03 6.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.236723168316833e-04 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.426887524752475e-03 1.350000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.428197227722772e-04 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.094951207920792e-03 2.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.760657425742574e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 46 JET 1.000000000000000e+00 8.100000000000000e+05 7.000000000000000e+03 2.995583168316831e-03 6.590282970297030e-04 1.048454108910891e-04 3.500000000000000e+00 2.965923929026566e-05 9.900990099009901e-01 7.488957920792079e-06 2.500000000000000e-01 2.995583168316832e-05 1.000000000000000e+00 2.606157356435643e-05 8.700000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.767394069306931e-04 5.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.942712227722772e-05 1.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.305744430766446e-05 4.358898943540674e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.168277435643564e-04 3.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.662548658415842e-04 5.550000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 1.797349900990099e-05 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.405053050253507e-05 4.690415759823430e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.815848178217822e-04 9.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.381488618811881e-04 7.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.153299519801980e-04 3.850000000000000e+00 0.000000000000000e+00 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0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.280214000000001e+00 8.050000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.222440000000000e-01 3.000000000000000e-01 8.149600000000001e-02 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.482280000000001e-01 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.074800000000001e-02 1.000000000000000e-01 4.074800000000001e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 57 JET 1.650000000000000e+00 8.122500000000000e+04 7.000000000000000e+03 1.138547058823529e+01 1.457340235294118e-01 3.984914705882353e-01 3.500000000000000e+00 1.116222606689734e-01 9.803921568627451e-01 4.781897647058823e-02 4.200000000000000e-01 1.138547058823529e-01 1.000000000000000e+00 6.831282352941176e-03 6.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.123461764705882e-01 4.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.074077058823529e-01 2.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.138547058823529e-02 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.301786470588234e-01 2.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.774355000000000e-01 5.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.277094117647059e-01 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.123461764705882e-02 4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.425248235294117e-01 7.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.440333529411764e-01 3.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.138547058823529e-02 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.053156029411765e+00 9.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.415641176470588e-02 3.000000000000000e-01 1.138547058823529e-02 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.108376470588235e-02 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.138547058823529e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 58 JET 1.650000000000000e+00 1.260250000000000e+05 7.000000000000000e+03 2.846367647058823e+00 2.590194558823529e-02 9.962286764705881e-02 3.500000000000000e+00 2.790556516724336e-02 9.803921568627451e-01 1.138547058823529e-02 4.000000000000000e-01 2.846367647058823e-02 1.000000000000000e+00 1.707820588235294e-03 6.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.238169926470588e-01 4.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.535331617647058e-02 3.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.277094117647059e-02 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.535331617647057e-02 3.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.793211617647059e-01 6.300000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.838825000000000e-02 1.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.962286764705881e-03 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.106312058823529e-01 7.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.337792794117647e-01 4.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.335064767001624e-02 4.690415759823430e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.931758676470588e-01 1.030000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.692735294117647e-03 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.838824999999999e-02 1.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.846367647058823e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 59 JET 1.650000000000000e+00 2.025000000000000e+05 7.000000000000000e+03 4.594137254901961e-01 8.591036666666666e-03 1.607948039215686e-02 3.500000000000000e+00 4.504056132256825e-03 9.803921568627451e-01 2.159244509803922e-03 4.700000000000000e-01 4.594137254901961e-03 1.000000000000000e+00 3.215896078431373e-04 7.000000000000001e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.526775490196079e-02 5.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.722801470588235e-02 3.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.647688235294119e-03 2.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.194475686274510e-02 2.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.284808137254903e-02 7.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.661499019607844e-03 1.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.607948039215686e-03 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.629368431372549e-02 7.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.549746176470588e-02 5.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.283257843137255e-02 1.150000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.378241176470588e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.972378431372549e-03 1.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.594137254901961e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 60 JET 1.650000000000000e+00 3.025000000000000e+05 7.000000000000000e+03 8.613562376237624e-02 3.600469073267326e-03 3.014746831683169e-03 3.500000000000000e+00 8.528279580433291e-04 9.900990099009901e-01 3.789967445544555e-04 4.400000000000000e-01 8.613562376237624e-04 1.000000000000000e+00 4.995866178217821e-04 5.800000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.359289326732674e-03 3.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.593509039603961e-03 1.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.722712475247525e-03 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.584068712871287e-03 3.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.235392396039603e-03 8.399999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.248966544554455e-03 1.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.876103069306931e-04 4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.623002702970299e-03 8.850000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.641883356435644e-03 6.550000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.321528019801982e-04 8.500000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.162830920792079e-02 1.350000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.168137425742575e-04 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.636576851485148e-03 1.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.722712475247525e-04 2.000000000000000e-01 8.613562376237624e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 61 JET 1.650000000000000e+00 4.900000000000000e+05 7.000000000000000e+03 1.159905940594059e-02 9.522827772277229e-04 4.059670792079208e-04 3.500000000000000e+00 1.148421723360455e-04 9.900990099009901e-01 4.059670792079208e-05 3.500000000000000e-01 1.159905940594059e-04 1.000000000000000e+00 7.191416831683168e-05 6.200000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.349647277227723e-04 3.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.449882425742574e-04 1.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.539388613861386e-05 6.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.277572029702972e-04 4.550000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.206302178217822e-03 1.040000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.333891831683168e-04 1.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.379482673267327e-05 5.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.333891831683168e-03 1.150000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.096111113861386e-03 9.449999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.087830693069307e-04 1.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.145825990099010e-03 1.850000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.959435643564356e-05 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.131746039603960e-04 2.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.319811881188119e-05 2.000000000000000e-01 1.159905940594059e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 62 JET 1.650000000000000e+00 8.100000000000000e+05 7.000000000000000e+03 6.909004950495049e-04 2.425060737623762e-04 2.418151732673267e-05 3.500000000000000e+00 6.840598960886187e-06 9.900990099009901e-01 2.832692029702970e-06 4.100000000000000e-01 6.909004950495049e-06 1.000000000000000e+00 4.698123366336634e-06 6.800000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.630839034653465e-05 8.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.658161188118812e-05 2.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.968921176336019e-06 5.744562646538030e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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2.223312750000000e+04 1.441036041666667e+05 3.500000000000000e+00 5.432477141203703e+05 1.319444444444444e+01 5.846489083333333e+04 1.420000000000000e+00 4.117245833333334e+04 1.000000000000000e+00 8.234491666666668e+02 2.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.940695000000000e+05 1.200000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.952556000000001e+05 9.600000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.764144166666667e+05 1.400000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 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2.450000000000000e+00 5.522500000000000e+04 7.000000000000000e+03 1.208457843137255e+01 1.510572303921568e-01 4.229602450980392e-01 3.500000000000000e+00 2.369525182622068e-01 1.960784313725490e+00 8.942588039215686e-02 7.400000000000000e-01 1.208457843137255e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.256791617647059e-01 4.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.833831372549020e-01 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.631418088235294e-01 1.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.867065098039216e-01 3.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.184279607843137e-01 7.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.900298823529411e-01 2.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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0.000000000000000e+00 1.208457843137255e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 72 JET 2.450000000000000e+00 8.122500000000000e+04 7.000000000000000e+03 2.257119607843137e+00 4.062815294117646e-02 7.899918627450980e-02 3.500000000000000e+00 4.425724721261053e-02 1.960784313725490e+00 1.602554921568627e-02 7.100000000000000e-01 2.257119607843137e-02 1.000000000000000e+00 4.965663137254901e-03 2.200000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.455842147058823e-01 6.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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6.658502843137255e-02 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.257119607843137e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.211977215686274e-01 9.800000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.286558176470588e-01 5.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.028478431372548e-03 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.934255490196078e-01 1.300000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.128559803921569e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.837103333333333e-02 1.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.257119607843137e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 73 JET 2.450000000000000e+00 1.260250000000000e+05 7.000000000000000e+03 3.267908910891089e-01 9.444256752475249e-03 1.143768118811881e-02 3.500000000000000e+00 6.471106754239781e-03 1.980198019801980e+00 2.745043485148515e-03 8.400000000000000e-01 3.267908910891089e-03 1.000000000000000e+00 4.248281584158416e-04 1.300000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.205838514851485e-02 6.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.617614910891089e-02 4.949999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.718840594059406e-03 1.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.568596277227723e-02 4.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.382285722772277e-02 1.035000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.169772277227722e-03 2.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.960745346534653e-03 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.758095247524753e-02 1.150000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.401913049504950e-02 7.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.373455942884222e-03 7.262919523166975e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.065258811881188e-02 1.550000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.803726732673266e-04 3.000000000000000e-01 6.535817821782179e-04 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.882236039603961e-03 1.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.267908910891089e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 74 JET 2.450000000000000e+00 2.025000000000000e+05 7.000000000000000e+03 2.108002970297029e-02 2.466363475247524e-03 7.378010396039603e-04 3.500000000000000e+00 4.174263307518870e-04 1.980198019801980e+00 1.222641722772277e-04 5.800000000000000e-01 2.108002970297029e-04 1.000000000000000e+00 2.951204158415841e-05 1.400000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.181783074257425e-03 1.035000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.275341797029703e-03 6.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.429409059405940e-04 3.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.001301410891089e-03 4.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.056604306930693e-03 1.450000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.743006683168316e-04 2.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.054001485148515e-04 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.162004455445544e-03 1.500000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.424203415841584e-03 1.150000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.532206386138613e-03 2.150000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.318803267326733e-04 1.100000000000000e+00 6.324008910891088e-05 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.324008910891088e-04 3.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.054001485148515e-04 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.108002970297029e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 75 JET 2.450000000000000e+00 3.025000000000000e+05 7.000000000000000e+03 5.880218811881188e-04 3.757459820792079e-04 2.058076584158416e-05 3.500000000000000e+00 1.164399764728948e-05 1.980198019801980e+00 4.704175049504950e-07 8.000000000000000e-02 5.880218811881188e-06 1.000000000000000e+00 9.408350099009900e-07 1.600000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.029038292079208e-05 1.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.278355639352203e-06 1.067707825203131e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.646098465346534e-05 4.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.586207871287129e-06 9.500000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.321598024752476e-05 9.050000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.018253858569983e-06 1.023474474522936e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.115427564356436e-05 1.040000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.822142227722772e-05 6.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.264247044554455e-04 2.150000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.292196930693070e-06 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.056262574257426e-05 1.200000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.704175049504950e-06 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 5.880218811881188e-06 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 76 JET 3.200000000000000e+00 6.250000000000000e+02 7.000000000000000e+03 3.009795454545454e+06 1.835975227272727e+04 1.053428409090909e+05 3.500000000000000e+00 3.420222107438016e+05 1.136363636363636e+01 1.315280613636363e+05 4.370000000000000e+00 3.009795454545454e+04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.912734090909091e+05 1.300000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.130187272727272e+05 1.040000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.514693181818181e+05 1.500000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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9.480855681818179e+04 3.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.203918181818182e+04 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.815672727272726e+05 1.600000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 3.009795454545454e+03 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.019590909090908e+04 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 77 JET 3.200000000000000e+00 1.406250000000000e+03 7.000000000000000e+03 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3.773619130434783e+03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 78 JET 3.200000000000000e+00 2.756250000000000e+03 7.000000000000000e+03 6.000049541284403e+04 1.920015853211009e+03 2.100017339449541e+03 3.500000000000000e+00 3.302779564009763e+03 5.504587155963303e+00 1.098009066055046e+03 1.830000000000000e+00 6.000049541284403e+02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.350011146788991e+03 2.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.460045082568809e+03 9.100000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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3.000000000000000e-01 3.520943689320388e+00 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.985604271844659e+01 3.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.760471844660194e+01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 81 JET 3.200000000000000e+00 1.822500000000000e+04 7.000000000000000e+03 1.508075490196078e+02 2.050982666666667e+00 5.278264215686274e+00 3.500000000000000e+00 4.435516147635524e+00 2.941176470588235e+00 3.951157784313726e+00 2.620000000000000e+00 1.508075490196078e+00 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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1.200000000000000e-01 2.310581920000000e-02 1.286000000000000e+00 7.645043600000000e-03 4.255000000000000e-01 1.536195600000000e-03 8.550000000000002e-02 7.154539040000001e-02 3.982000000000000e+00 2.811866800000001e-02 1.565000000000000e+00 1.060064800000000e-03 5.900000000000001e-02 2.299801600000000e-03 1.280000000000000e-01 7.420453600000001e-03 4.130000000000000e-01 3.490128600000000e-02 1.942500000000000e+00 5.030816000000000e-02 2.800000000000000e+00 - 3 HQP_PTQ 1.250000000000000e+02 3.003289000000000e+04 8.000000000000000e+03 1.382194873850000e+00 0.000000000000000e+00 1.937170736708082e-03 1.401517812978310e-01 -6.641945629052972e-03 -4.805361208258813e-01 -6.402119182523588e-04 -4.631849895876815e-02 2.104251070400739e-03 1.522398259616971e-01 -4.342423931870377e-04 -3.141687191889869e-02 -4.775303218754504e-06 -3.454869721411465e-04 -1.921887640778546e-06 -1.390460692004502e-04 1.555247117212570e-06 1.125201045551954e-04 3.468260450000000e-03 2.515000000000000e-01 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7.200000000000001e-02 3.861284000000000e-04 2.800000000000000e-02 3.861284000000000e-02 2.800000000000000e+00 2.781503510000000e-02 2.017000000000000e+00 3.020075699999999e-03 2.190000000000000e-01 2.895963000000000e-04 2.100000000000000e-02 9.591153650000002e-03 6.955000000000001e-01 1.740335860000000e-02 1.262000000000000e+00 8.956799849999999e-03 6.495000000000000e-01 2.413302500000000e-04 1.750000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.377404000000000e-04 6.800000000000000e-02 5.736764800000000e-03 4.160000000000000e-01 1.373513880000000e-02 9.960000000000002e-01 2.758060000000000e-05 2.000000000000000e-03 6.205635000000000e-03 4.500000000000001e-01 1.008415687500000e-01 7.312500000000000e+00 1.343175220000000e-02 9.739999999999999e-01 8.548606970000001e-02 6.199000000000001e+00 1.663799695000000e-02 1.206500000000000e+00 3.116607800000000e-03 2.260000000000000e-01 5.516120000000000e-05 4.000000000000000e-03 1.620360250000000e-03 1.175000000000000e-01 1.810666390000000e-02 1.313000000000000e+00 5.812611450000000e-03 4.215000000000000e-01 3.495841050000000e-03 2.535000000000000e-01 5.522325635000001e-02 4.004500000000000e+00 2.623604575000000e-02 1.902500000000000e+00 1.516933000000000e-04 1.100000000000000e-02 1.751368100000000e-03 1.270000000000000e-01 1.544513600000000e-03 1.120000000000000e-01 3.606163450000000e-02 2.615000000000000e+00 3.861284000000000e-02 2.800000000000000e+00 - 4 HQP_PTQ 1.750000000000000e+02 3.003289000000000e+04 8.000000000000000e+03 7.357259751549999e-01 0.000000000000000e+00 -1.417841834646226e-03 -1.927133039373146e-01 -2.348972824994470e-03 -3.192727869230928e-01 -3.554536001944227e-03 -4.831331395082757e-01 -2.818553242864833e-03 -3.830982373934849e-01 5.936955759322521e-04 8.069520391843914e-02 -1.322927770707041e-04 -1.798125681818331e-02 -4.748117489455031e-06 -6.453649388217830e-04 -2.648904234815382e-08 -3.600395152906380e-06 1.934388670000000e-03 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3.015586900000000e-04 4.100000000000000e-02 1.544568900000000e-04 2.100000000000000e-02 2.059425200000000e-02 2.800000000000000e+00 1.440494376500000e-02 1.958500000000000e+00 1.334948835000000e-03 1.815000000000000e-01 5.773745650000000e-04 7.850000000000000e-02 3.136945885000000e-03 4.265000000000000e-01 9.149731959999999e-03 1.244000000000000e+00 6.972625320000000e-03 9.480000000000001e-01 8.090599000000000e-05 1.100000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.148270760000000e-03 5.640000000000001e-01 2.971456360000000e-03 4.040000000000000e-01 6.053239069999999e-03 8.230000000000000e-01 1.471018000000000e-05 2.000000000000000e-03 3.361276130000000e-03 4.570000000000000e-01 5.476600014000001e-02 7.446000000000001e+00 4.891134850000000e-03 6.650000000000000e-01 3.616497753000000e-02 4.917000000000000e+00 1.044055025500000e-02 1.419500000000000e+00 9.782269700000000e-04 1.330000000000000e-01 7.355089999999999e-06 1.000000000000000e-03 5.148563000000001e-04 7.000000000000001e-02 9.914661320000000e-03 1.348000000000000e+00 2.743448570000000e-03 3.730000000000000e-01 4.740355505000000e-03 6.445000000000001e-01 3.082518219000000e-02 4.191000000000000e+00 1.458146592500000e-02 1.982500000000000e+00 5.332440250000001e-04 7.250000000000001e-02 1.316561110000000e-03 1.790000000000000e-01 1.404822190000000e-03 1.910000000000000e-01 2.089948823500000e-02 2.841500000000000e+00 2.059425200000000e-02 2.800000000000000e+00 - 5 HQP_PTQ 2.300000000000000e+02 3.003289000000000e+04 8.000000000000000e+03 3.131615300250000e-01 0.000000000000000e+00 -6.778765369469589e-04 -2.164622637055207e-01 2.519725745758806e-04 8.046089650787099e-02 -4.180102549421202e-04 -1.334807167753811e-01 -1.099325117084601e-03 -3.510409203189297e-01 -2.816471618178664e-03 -8.993670512319384e-01 2.451555506823987e-04 7.828405700496725e-02 -4.249914689756087e-05 -1.357099861345297e-02 2.244854674956841e-06 7.168360286072277e-04 9.233931750000001e-04 2.955000000000000e-01 8.718331500000001e-04 2.790000000000000e-01 1.540551050000000e-03 4.930000000000000e-01 1.959280950000000e-03 6.270000000000000e-01 1.295250325000000e-03 4.145000000000000e-01 1.374934000000000e-04 4.400000000000000e-02 5.671602750000001e-04 1.815000000000000e-01 7.046536750000000e-04 2.255000000000000e-01 1.999904000000000e-04 6.400000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 8.902697650000001e-03 2.849000000000000e+00 7.030912500000000e-05 2.250000000000000e-02 1.703043250000000e-04 5.450000000000001e-02 5.780972500000001e-05 1.850000000000000e-02 1.935844575000000e-03 6.194999999999999e-01 8.624586000000001e-04 2.760000000000000e-01 1.968655500000000e-04 6.300000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.424931600000000e-03 4.560000000000001e-01 1.018701100000000e-03 3.260000000000000e-01 1.165569050000000e-03 3.730000000000000e-01 3.749820000000001e-05 1.200000000000000e-02 2.118648300000000e-03 6.780000000000000e-01 1.187443000000000e-04 3.800000000000000e-02 4.843517500000000e-05 1.550000000000000e-02 8.749580000000000e-03 2.800000000000000e+00 5.373179575000000e-03 1.719500000000000e+00 3.171722750000000e-04 1.015000000000000e-01 3.452959250000001e-04 1.105000000000000e-01 7.077785250000001e-04 2.265000000000000e-01 3.862314600000000e-03 1.236000000000000e+00 2.838926225000000e-03 9.085000000000001e-01 3.749820000000000e-05 1.200000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.984231750000000e-03 9.550000000000000e-01 8.718331500000001e-04 2.790000000000000e-01 1.673357175000000e-03 5.355000000000001e-01 1.249940000000000e-05 4.000000000000000e-03 1.237440600000000e-03 3.960000000000001e-01 2.335981617500000e-02 7.475500000000000e+00 1.446805550000000e-03 4.630000000000000e-01 1.669607355000000e-02 5.343000000000001e+00 4.588842225000000e-03 1.468500000000000e+00 4.124802000000000e-04 1.320000000000000e-01 6.249700000000000e-06 2.000000000000000e-03 4.999760000000000e-05 1.600000000000000e-02 4.309168150000001e-03 1.379000000000000e+00 8.421470750000001e-04 2.695000000000000e-01 2.668621900000000e-03 8.540000000000000e-01 1.446024337500000e-02 4.627500000000000e+00 5.396615950000001e-03 1.727000000000000e+00 4.890390250000000e-04 1.565000000000000e-01 7.562137000000001e-04 2.420000000000000e-01 9.437047000000001e-04 3.020000000000000e-01 7.882434125000001e-03 2.522500000000000e+00 8.749580000000000e-03 2.800000000000000e+00 - 6 HQP_PTQ 2.900000000000000e+02 3.003289000000000e+04 8.000000000000000e+03 1.150901475700000e-01 0.000000000000000e+00 -1.322166078392326e-04 -1.148809091228387e-01 2.155944512419977e-04 1.873265920619913e-01 2.215715201938910e-04 1.925199722757563e-01 5.634976126322212e-05 4.896141194792468e-02 -4.543118682898007e-04 -3.947443616000924e-01 -1.713393767968779e-03 -1.488740612593846e+00 8.226891405591625e-05 7.148215185481341e-02 1.416274436185870e-05 1.230578347572685e-02 3.823650250000000e-04 3.325000000000000e-01 4.277888400000000e-04 3.720000000000000e-01 3.679904000000000e-04 3.200000000000000e-01 6.623827200000000e-04 5.760000000000000e-01 4.162891400000000e-04 3.620000000000000e-01 2.184943000000000e-05 1.900000000000000e-02 1.299466100000000e-04 1.130000000000000e-01 1.776703649999999e-04 1.545000000000000e-01 7.417306499999999e-05 6.450000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.816952600000000e-03 1.580000000000000e+00 7.532303500000001e-05 6.550000000000000e-02 5.232363500000000e-05 4.550000000000000e-02 3.852399500000001e-05 3.350000000000000e-02 6.290335899999999e-04 5.469999999999999e-01 3.323413300000000e-04 2.890000000000000e-01 2.644931000000000e-05 2.300000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 4.852873399999999e-04 4.219999999999999e-01 1.586958600000000e-04 1.380000000000000e-01 4.001895600000000e-04 3.480000000000000e-01 3.449910000000000e-06 3.000000000000000e-03 6.393833200000000e-04 5.560000000000000e-01 2.414937000000000e-05 2.100000000000000e-02 1.092471500000000e-05 9.500000000000000e-03 3.219916000000000e-03 2.800000000000000e+00 1.576608870000000e-03 1.371000000000000e+00 7.474804999999999e-06 6.499999999999999e-03 1.891700650000000e-04 1.645000000000000e-01 9.142261500000000e-05 7.950000000000000e-02 1.420212950000000e-03 1.235000000000000e+00 9.786244700000001e-04 8.510000000000000e-01 1.149970000000000e-05 1.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.513935505000000e-03 1.316500000000000e+00 2.150443900000000e-04 1.870000000000000e-01 3.685653850000000e-04 3.205000000000000e-01 2.299940000000000e-06 2.000000000000000e-03 1.724955000000000e-04 1.500000000000000e-01 8.435029949999999e-03 7.334999999999999e+00 4.231889600000000e-04 3.680000000000000e-01 4.988569860000000e-03 4.338000000000000e+00 1.589258540000000e-03 1.382000000000000e+00 1.333965200000000e-04 1.160000000000000e-01 8.049790000000000e-06 6.999999999999999e-03 1.546709650000000e-04 1.345000000000000e-01 1.604208150000000e-03 1.395000000000000e+00 2.420686850000000e-04 2.105000000000000e-01 1.153994895000000e-03 1.003500000000000e+00 6.129340100000000e-03 5.330000000000000e+00 1.651356920000000e-03 1.436000000000000e+00 3.047420500000000e-04 2.650000000000000e-01 4.300887800000000e-04 3.740000000000000e-01 3.185416899999999e-04 2.770000000000000e-01 2.414362015000000e-03 2.099500000000000e+00 3.219916000000000e-03 2.800000000000000e+00 - 7 HQP_PTQ 3.600000000000000e+02 3.003289000000000e+04 8.000000000000000e+03 4.068100336350000e-02 0.000000000000000e+00 -3.515651823385690e-05 -8.641998802173152e-02 2.521903274586824e-05 6.199216012576372e-02 6.195669540635566e-05 1.522988379926360e-01 6.827464142779039e-05 1.678292956978737e-01 8.467687755552665e-05 2.081484490412074e-01 -1.623756400289034e-04 -3.991436459371867e-01 -9.373415640673457e-04 -2.304125971751109e+00 -2.244182477778304e-05 -5.516536693369368e-02 1.497213810000000e-04 3.690000000000000e-01 1.980055120000000e-04 4.880000000000000e-01 6.126809899999999e-05 1.510000000000000e-01 2.245820714999999e-04 5.534999999999999e-01 1.178700845000000e-04 2.905000000000000e-01 2.028745000000000e-05 5.000000000000000e-02 3.712603350000000e-05 9.150000000000000e-02 4.868987999999999e-05 1.200000000000000e-01 3.205417100000000e-05 7.900000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 5.153012299999998e-05 1.270000000000000e-01 3.672028450000000e-05 9.050000000000000e-02 1.805583050000000e-05 4.450000000000000e-02 3.388004150000000e-05 8.350000000000000e-02 1.902962810000000e-04 4.690000000000000e-01 1.201017040000000e-04 2.960000000000000e-01 4.463238999999999e-06 1.100000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.799496815000000e-04 4.435000000000000e-01 1.744720700000000e-05 4.300000000000000e-02 9.088777599999999e-05 2.240000000000000e-01 8.114980000000000e-06 2.000000000000000e-02 1.909049045000000e-04 4.704999999999999e-01 1.379546600000000e-05 3.400000000000000e-02 6.491983999999999e-06 1.600000000000000e-02 1.136097200000000e-03 2.800000000000000e+00 5.331541859999999e-04 1.314000000000000e+00 3.347429250000000e-05 8.249999999999999e-02 8.662741149999998e-05 2.135000000000000e-01 6.086234999999999e-06 1.500000000000000e-02 5.019115130000000e-04 1.237000000000000e+00 3.621309825000000e-04 8.925000000000000e-01 1.622996000000000e-06 4.000000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.615908729999998e-04 1.877000000000000e+00 4.544388799999999e-05 1.120000000000000e-01 1.111752260000000e-04 2.740000000000000e-01 1.622996000000000e-06 4.000000000000000e-03 3.773465699999999e-05 9.300000000000000e-02 2.854444214999999e-03 7.034999999999999e+00 2.507528820000000e-04 6.180000000000000e-01 1.699682561000000e-03 4.189000000000000e+00 6.195787230000000e-04 1.527000000000000e+00 3.286566899999999e-05 8.099999999999999e-02 4.057490000000000e-07 1.000000000000000e-03 9.595963849999998e-05 2.365000000000000e-01 5.668313530000000e-04 1.397000000000000e+00 5.497898950000000e-05 1.355000000000000e-01 5.481668990000000e-04 1.351000000000000e+00 2.468779790500000e-03 6.084500000000000e+00 5.901619205000000e-04 1.454500000000000e+00 1.444466440000000e-04 3.560000000000000e-01 2.251906950000000e-04 5.550000000000000e-01 1.052918655000000e-04 2.595000000000000e-01 8.530872725000000e-04 2.102500000000000e+00 1.136097200000000e-03 2.800000000000000e+00 - 8 HQP_PTQ 4.500000000000000e+02 3.003289000000000e+04 8.000000000000000e+03 1.080383673550000e-02 0.000000000000000e+00 -2.352041335202960e-06 -2.168519527583563e-02 1.027091371306135e-05 9.469509153408397e-02 3.876016215801638e-06 3.573583817340142e-02 -2.675799207314683e-06 -2.467015671071871e-02 2.924897778085605e-05 2.696677925270005e-01 3.800143204784102e-05 3.503630920022590e-01 -4.182962200433564e-05 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-3.854914973856889e-02 -6.582317212639560e-08 -1.639578446047357e-01 2.458778278152059e-08 6.124529915887996e-02 2.929764519499051e-08 7.297701710487245e-02 1.090901469499977e-07 2.717308325279419e-01 5.545214097114778e-07 1.381248156027634e+00 0.000000000000000e+00 0.000000000000000e+00 1.640354182538368e-06 4.085930949072315e+00 1.025740520000000e-07 2.555000000000000e-01 4.917934000000000e-08 1.225000000000000e-01 1.308772640000000e-07 3.260000000000000e-01 4.536543200000000e-08 1.130000000000000e-01 1.290706760000000e-07 3.215000000000000e-01 3.653322400000000e-08 9.100000000000000e-02 7.266498400000000e-08 1.810000000000000e-01 1.487424120000000e-07 3.705000000000000e-01 4.335811200000000e-08 1.080000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.781389416000000e-06 9.419000000000000e+00 7.768328399999999e-08 1.935000000000000e-01 2.810248000000000e-08 7.000000000000001e-02 3.091272800000000e-08 7.700000000000000e-02 4.034713200000000e-08 1.005000000000000e-01 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8.100000000000000e-02 4.860408799999999e-02 1.000000000000000e-01 1.402041000000000e-03 8.500000000000001e-03 3.044765705000000e-01 5.930000000000000e-01 1.140326680000000e-01 2.490000000000000e-01 3.972449499999999e-03 8.000000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 2.336735000000000e-01 5.245000000000000e-01 1.934816580000000e-01 2.790000000000000e-01 1.014142990000000e-01 2.150000000000000e-01 2.570408500000000e-02 3.600000000000000e-02 4.558969984999999e-01 8.554999999999999e-01 4.206122999999999e-02 7.099999999999999e-02 1.378673650000000e-02 2.700000000000000e-02 1.308571600000000e+00 2.800000000000000e+00 8.559460305000001e-01 2.119000000000000e+00 7.991633699999999e-02 1.960000000000000e-01 1.565612450000000e-02 4.250000000000000e-02 3.133561635000000e-01 6.585000000000000e-01 5.907266079999999e-01 1.276000000000000e+00 2.537694210000000e-01 5.065000000000001e-01 8.178572499999998e-03 1.850000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.552450100000000e-02 2.085000000000000e-01 1.546918570000000e-01 2.680000000000000e-01 4.091622985000001e-01 9.604999999999999e-01 4.673470000000000e-04 3.000000000000000e-03 6.823266199999999e-02 1.600000000000000e-02 2.968588144000000e+00 7.125500000000000e+00 5.023980250000000e-01 8.139999999999999e-01 1.667961443000000e+00 3.528000000000000e+00 5.255317014999998e-01 1.332500000000000e+00 1.074898100000000e-01 2.220000000000000e-01 2.336735000000000e-03 1.000000000000000e-02 2.920918750000000e-02 7.750000000000000e-02 6.168980399999999e-01 1.317000000000000e+00 1.771245130000000e-01 4.100000000000000e-01 1.397367530000000e-01 3.440000000000000e-01 1.967530870000000e+00 4.290500000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.259026793343005e-01 -2.687054508183119e-01 1.839797665034418e-04 3.926553935241539e-04 -5.224434634371941e-01 -1.115015241234234e+00 -8.133018931384853e-02 -1.735774433099180e-01 2.875566405812524e-01 6.137124098687395e-01 - 3 HQP_YQ -1.000000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 6.549672871999999e+01 6.789726711351383e-01 1.740467000000000e-01 2.650000000000000e-01 2.449789400000000e-01 3.730000000000000e-01 1.379238000000000e-01 2.100000000000000e-01 3.494069600000000e-01 5.320000000000000e-01 1.904662000000000e-02 2.900000000000000e-02 2.758476000000000e-02 4.200000000000000e-02 1.221610800000000e-01 1.860000000000000e-01 1.372670200000000e-01 2.090000000000000e-01 1.510594000000000e-02 2.300000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 2.481971620000000e+00 3.779000000000000e+00 4.827332999999998e-02 7.349999999999998e-02 6.797672999999999e-02 1.035000000000000e-01 9.851699999999998e-04 1.500000000000000e-03 4.134430099999999e-01 6.294999999999999e-01 1.615678799999999e-01 2.459999999999999e-01 3.283900000000000e-03 4.999999999999999e-03 0.000000000000000e+00 0.000000000000000e+00 3.251061000000000e-01 4.949999999999999e-01 2.495764000000000e-01 3.800000000000000e-01 1.806145000000000e-01 2.750000000000000e-01 4.006357999999999e-02 6.100000000000000e-02 6.006253099999999e-01 9.144999999999999e-01 4.991528000000000e-02 7.600000000000000e-02 1.838984000000000e-02 2.800000000000000e-02 1.838984000000000e+00 2.800000000000000e+00 1.312903220000000e+00 1.999000000000000e+00 1.123093800000000e-01 1.710000000000000e-01 1.707628000000000e-02 2.599999999999999e-02 4.443116699999999e-01 6.764999999999999e-01 8.354241599999999e-01 1.272000000000000e+00 3.402120400000000e-01 5.180000000000000e-01 1.182204000000000e-02 1.800000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.169068400000000e-01 1.780000000000000e-01 1.635382200000000e-01 2.490000000000000e-01 5.845341999999999e-01 8.899999999999999e-01 3.283900000000000e-03 4.999999999999999e-03 3.086865999999999e-02 4.699999999999999e-02 4.153476720000000e+00 6.324000000000000e+00 6.278816799999999e-01 9.560000000000000e-01 2.619895420000000e+00 3.988999999999999e+00 7.933902399999998e-01 1.208000000000000e+00 1.609111000000000e-01 2.449999999999999e-01 3.283900000000000e-03 4.999999999999999e-03 4.269070000000000e-02 6.500000000000000e-02 8.649792599999998e-01 1.317000000000000e+00 2.393963099999999e-01 3.644999999999999e-01 1.875106900000000e-01 2.855000000000000e-01 2.789344660000000e+00 4.247000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -3.791095271100186e-01 -5.788220793907439e-01 -3.405668393512913e-02 -5.199753422910972e-02 -4.834869297345232e-02 -7.381848516457072e-02 5.575742129820409e-01 8.513008571247632e-01 -5.204592713433617e-02 -7.946339939637855e-02 - 4 HQP_YQ -6.000000000000001e-01 3.003289000000000e+04 8.000000000000000e+03 8.317786816499999e+01 6.927864405118218e-01 0.000000000000000e+00 2.785000000000000e-01 0.000000000000000e+00 4.109999999999999e-01 0.000000000000000e+00 2.129999999999999e-01 0.000000000000000e+00 1.860000000000000e-01 0.000000000000000e+00 2.450000000000000e-02 0.000000000000000e+00 4.400000000000000e-02 0.000000000000000e+00 1.145000000000000e-01 0.000000000000000e+00 2.485000000000000e-01 0.000000000000000e+00 8.499999999999999e-03 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.597000000000000e+00 0.000000000000000e+00 6.549999999999999e-02 0.000000000000000e+00 1.040000000000000e-01 0.000000000000000e+00 3.000000000000000e-03 0.000000000000000e+00 6.515000000000000e-01 0.000000000000000e+00 2.440000000000000e-01 0.000000000000000e+00 8.499999999999999e-03 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.000000000000000e-01 0.000000000000000e+00 4.140000000000000e-01 0.000000000000000e+00 2.170000000000000e-01 0.000000000000000e+00 5.500000000000000e-02 0.000000000000000e+00 9.754999999999999e-01 0.000000000000000e+00 8.999999999999998e-02 0.000000000000000e+00 2.950000000000000e-02 0.000000000000000e+00 2.800000000000000e+00 0.000000000000000e+00 1.831500000000000e+00 0.000000000000000e+00 1.710000000000000e-01 0.000000000000000e+00 3.350000000000000e-02 0.000000000000000e+00 6.705000000000000e-01 0.000000000000000e+00 1.264000000000000e+00 0.000000000000000e+00 5.430000000000000e-01 0.000000000000000e+00 1.750000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.830000000000000e-01 0.000000000000000e+00 3.310000000000000e-01 0.000000000000000e+00 8.755000000000002e-01 0.000000000000000e+00 1.000000000000000e-03 0.000000000000000e+00 1.460000000000000e-01 0.000000000000000e+00 6.351999999999999e+00 0.000000000000000e+00 1.075000000000000e+00 0.000000000000000e+00 3.568999999999999e+00 0.000000000000000e+00 1.124500000000000e+00 0.000000000000000e+00 2.300000000000000e-01 0.000000000000000e+00 4.999999999999999e-03 0.000000000000000e+00 6.250000000000000e-02 0.000000000000000e+00 1.320000000000000e+00 0.000000000000000e+00 3.790000000000000e-01 0.000000000000000e+00 2.989999999999999e-01 0.000000000000000e+00 4.210000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -5.512592199633406e-02 -6.627474737267938e-02 -1.938681758181702e-02 -2.330766345605224e-02 -2.214394789469256e-01 -2.662240375139887e-01 -9.617154331603338e-02 -1.156215534705191e-01 -6.467715670718643e-01 -7.775765132485281e-01 - 5 HQP_YQ -2.000000000000000e-01 3.003289000000000e+04 8.000000000000000e+03 9.133855647000001e+01 7.899060436992824e-01 0.000000000000000e+00 2.945000000000000e-01 0.000000000000000e+00 4.600000000000000e-01 0.000000000000000e+00 2.510000000000000e-01 0.000000000000000e+00 2.549999999999999e-02 0.000000000000000e+00 3.750000000000000e-02 0.000000000000000e+00 2.900000000000000e-02 0.000000000000000e+00 8.600000000000001e-02 0.000000000000000e+00 2.415000000000000e-01 0.000000000000000e+00 1.350000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.193000000000000e+00 0.000000000000000e+00 7.700000000000000e-02 0.000000000000000e+00 1.065000000000000e-01 0.000000000000000e+00 3.000000000000000e-03 0.000000000000000e+00 5.950000000000000e-01 0.000000000000000e+00 2.430000000000000e-01 0.000000000000000e+00 6.999999999999999e-03 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.165000000000000e-01 0.000000000000000e+00 3.920000000000000e-01 0.000000000000000e+00 2.260000000000000e-01 0.000000000000000e+00 5.000000000000000e-02 0.000000000000000e+00 1.005000000000000e+00 0.000000000000000e+00 9.200000000000000e-02 0.000000000000000e+00 3.350000000000000e-02 0.000000000000000e+00 2.799999999999999e+00 0.000000000000000e+00 1.674000000000000e+00 0.000000000000000e+00 1.920000000000000e-01 0.000000000000000e+00 3.100000000000000e-02 0.000000000000000e+00 6.459999999999999e-01 0.000000000000000e+00 1.261000000000000e+00 0.000000000000000e+00 5.290000000000000e-01 0.000000000000000e+00 1.750000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.830000000000000e-01 0.000000000000000e+00 3.550000000000000e-01 0.000000000000000e+00 8.739999999999999e-01 0.000000000000000e+00 3.000000000000000e-03 0.000000000000000e+00 2.130000000000000e-01 0.000000000000000e+00 6.453999999999999e+00 0.000000000000000e+00 1.097000000000000e+00 0.000000000000000e+00 3.508000000000000e+00 0.000000000000000e+00 1.063000000000000e+00 0.000000000000000e+00 2.360000000000000e-01 0.000000000000000e+00 9.999999999999998e-03 0.000000000000000e+00 7.400000000000000e-02 0.000000000000000e+00 1.320000000000000e+00 0.000000000000000e+00 3.744999999999999e-01 0.000000000000000e+00 2.915000000000000e-01 0.000000000000000e+00 4.174000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.312404627728294e-01 8.005824605001329e-01 -2.277912876080805e-02 -2.493922571273591e-02 -1.314388503405578e-01 -1.439029205412597e-01 2.671002931801208e-01 2.924288531621905e-01 -2.576752197559255e-02 -2.821100198146425e-02 - 6 HQP_YQ 2.000000000000000e-01 3.003289000000000e+04 8.000000000000000e+03 9.133855647000001e+01 7.899060436992824e-01 0.000000000000000e+00 2.945000000000000e-01 0.000000000000000e+00 4.600000000000000e-01 0.000000000000000e+00 2.510000000000000e-01 0.000000000000000e+00 2.549999999999999e-02 0.000000000000000e+00 3.750000000000000e-02 0.000000000000000e+00 2.900000000000000e-02 0.000000000000000e+00 8.600000000000001e-02 0.000000000000000e+00 2.415000000000000e-01 0.000000000000000e+00 1.350000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.193000000000000e+00 0.000000000000000e+00 7.700000000000000e-02 0.000000000000000e+00 1.065000000000000e-01 0.000000000000000e+00 3.000000000000000e-03 0.000000000000000e+00 5.950000000000000e-01 0.000000000000000e+00 2.430000000000000e-01 0.000000000000000e+00 6.999999999999999e-03 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.165000000000000e-01 0.000000000000000e+00 3.920000000000000e-01 0.000000000000000e+00 2.260000000000000e-01 0.000000000000000e+00 5.000000000000000e-02 0.000000000000000e+00 1.005000000000000e+00 0.000000000000000e+00 9.200000000000000e-02 0.000000000000000e+00 3.350000000000000e-02 0.000000000000000e+00 2.799999999999999e+00 0.000000000000000e+00 1.674000000000000e+00 0.000000000000000e+00 1.920000000000000e-01 0.000000000000000e+00 3.100000000000000e-02 0.000000000000000e+00 6.459999999999999e-01 0.000000000000000e+00 1.261000000000000e+00 0.000000000000000e+00 5.290000000000000e-01 0.000000000000000e+00 1.750000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.830000000000000e-01 0.000000000000000e+00 3.550000000000000e-01 0.000000000000000e+00 8.739999999999999e-01 0.000000000000000e+00 3.000000000000000e-03 0.000000000000000e+00 2.130000000000000e-01 0.000000000000000e+00 6.453999999999999e+00 0.000000000000000e+00 1.097000000000000e+00 0.000000000000000e+00 3.508000000000000e+00 0.000000000000000e+00 1.063000000000000e+00 0.000000000000000e+00 2.360000000000000e-01 0.000000000000000e+00 9.999999999999998e-03 0.000000000000000e+00 7.400000000000000e-02 0.000000000000000e+00 1.320000000000000e+00 0.000000000000000e+00 3.744999999999999e-01 0.000000000000000e+00 2.915000000000000e-01 0.000000000000000e+00 4.174000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.312404627728294e-01 8.005824605001329e-01 -2.277912876080805e-02 -2.493922571273591e-02 -1.314388503405578e-01 -1.439029205412597e-01 2.671002931801208e-01 2.924288531621905e-01 -2.576752197559255e-02 -2.821100198146425e-02 - 7 HQP_YQ 6.000000000000001e-01 3.003289000000000e+04 8.000000000000000e+03 8.317786816499999e+01 6.927864405118218e-01 0.000000000000000e+00 2.785000000000000e-01 0.000000000000000e+00 4.109999999999999e-01 0.000000000000000e+00 2.129999999999999e-01 0.000000000000000e+00 1.860000000000000e-01 0.000000000000000e+00 2.450000000000000e-02 0.000000000000000e+00 4.400000000000000e-02 0.000000000000000e+00 1.145000000000000e-01 0.000000000000000e+00 2.485000000000000e-01 0.000000000000000e+00 8.499999999999999e-03 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.597000000000000e+00 0.000000000000000e+00 6.549999999999999e-02 0.000000000000000e+00 1.040000000000000e-01 0.000000000000000e+00 3.000000000000000e-03 0.000000000000000e+00 6.515000000000000e-01 0.000000000000000e+00 2.440000000000000e-01 0.000000000000000e+00 8.499999999999999e-03 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.000000000000000e-01 0.000000000000000e+00 4.140000000000000e-01 0.000000000000000e+00 2.170000000000000e-01 0.000000000000000e+00 5.500000000000000e-02 0.000000000000000e+00 9.754999999999999e-01 0.000000000000000e+00 8.999999999999998e-02 0.000000000000000e+00 2.950000000000000e-02 0.000000000000000e+00 2.800000000000000e+00 0.000000000000000e+00 1.831500000000000e+00 0.000000000000000e+00 1.710000000000000e-01 0.000000000000000e+00 3.350000000000000e-02 0.000000000000000e+00 6.705000000000000e-01 0.000000000000000e+00 1.264000000000000e+00 0.000000000000000e+00 5.430000000000000e-01 0.000000000000000e+00 1.750000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.830000000000000e-01 0.000000000000000e+00 3.310000000000000e-01 0.000000000000000e+00 8.755000000000002e-01 0.000000000000000e+00 1.000000000000000e-03 0.000000000000000e+00 1.460000000000000e-01 0.000000000000000e+00 6.351999999999999e+00 0.000000000000000e+00 1.075000000000000e+00 0.000000000000000e+00 3.568999999999999e+00 0.000000000000000e+00 1.124500000000000e+00 0.000000000000000e+00 2.300000000000000e-01 0.000000000000000e+00 4.999999999999999e-03 0.000000000000000e+00 6.250000000000000e-02 0.000000000000000e+00 1.320000000000000e+00 0.000000000000000e+00 3.790000000000000e-01 0.000000000000000e+00 2.989999999999999e-01 0.000000000000000e+00 4.210000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -5.512592199633406e-02 -6.627474737267938e-02 -1.938681758181702e-02 -2.330766345605224e-02 -2.214394789469256e-01 -2.662240375139887e-01 -9.617154331603338e-02 -1.156215534705191e-01 -6.467715670718643e-01 -7.775765132485281e-01 - 8 HQP_YQ 1.000000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 6.549672871999999e+01 6.789726711351383e-01 0.000000000000000e+00 2.650000000000000e-01 0.000000000000000e+00 3.730000000000000e-01 0.000000000000000e+00 2.100000000000000e-01 0.000000000000000e+00 5.320000000000000e-01 0.000000000000000e+00 2.900000000000000e-02 0.000000000000000e+00 4.200000000000000e-02 0.000000000000000e+00 1.860000000000000e-01 0.000000000000000e+00 2.090000000000000e-01 0.000000000000000e+00 2.300000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.779000000000000e+00 0.000000000000000e+00 7.349999999999998e-02 0.000000000000000e+00 1.035000000000000e-01 0.000000000000000e+00 1.500000000000000e-03 0.000000000000000e+00 6.294999999999999e-01 0.000000000000000e+00 2.459999999999999e-01 0.000000000000000e+00 4.999999999999999e-03 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.949999999999999e-01 0.000000000000000e+00 3.800000000000000e-01 0.000000000000000e+00 2.750000000000000e-01 0.000000000000000e+00 6.100000000000000e-02 0.000000000000000e+00 9.144999999999999e-01 0.000000000000000e+00 7.600000000000000e-02 0.000000000000000e+00 2.800000000000000e-02 0.000000000000000e+00 2.800000000000000e+00 0.000000000000000e+00 1.999000000000000e+00 0.000000000000000e+00 1.710000000000000e-01 0.000000000000000e+00 2.599999999999999e-02 0.000000000000000e+00 6.764999999999999e-01 0.000000000000000e+00 1.272000000000000e+00 0.000000000000000e+00 5.180000000000000e-01 0.000000000000000e+00 1.800000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 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-7.946339939637855e-02 - 9 HQP_YQ 1.400000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 4.685527552600000e+01 6.146634731329722e-01 1.301561395000000e-01 2.280000000000000e-01 1.920796170000000e-01 3.360000000000000e-01 9.954491099999997e-02 2.060000000000000e-01 8.692654199999998e-02 1.024000000000000e+00 1.145000150000000e-02 3.950000000000000e-02 2.056326800000000e-02 1.900000000000000e-02 5.351123149999999e-02 2.959999999999999e-01 1.161357295000000e-01 1.455000000000000e-01 3.972449499999999e-03 6.650000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.681047159000000e+00 4.565000000000001e+00 3.061122849999999e-02 8.100000000000000e-02 4.860408799999999e-02 1.000000000000000e-01 1.402041000000000e-03 8.500000000000001e-03 3.044765705000000e-01 5.930000000000000e-01 1.140326680000000e-01 2.490000000000000e-01 3.972449499999999e-03 8.000000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 2.336735000000000e-01 5.245000000000000e-01 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8.999999999999999e-03 6.797214500000002e-05 1.850000000000000e-01 5.092399620000000e-04 1.386000000000000e+00 4.041587000000000e-05 1.100000000000000e-01 4.917876545000001e-04 1.338500000000000e+00 1.895320594500000e-03 5.158500000000000e+00 5.393681560000001e-04 1.468000000000000e+00 1.170223145000000e-04 3.185000000000000e-01 1.473342170000001e-04 4.010000000000001e-01 1.725022815000000e-04 4.695000000000000e-01 8.500192295000002e-04 2.313500000000000e+00 1.028767600000000e-03 2.800000000000000e+00 - 7 HQP_MQQ 1.350000000000000e+03 3.003289000000000e+04 8.000000000000000e+03 4.612883527350000e-03 0.000000000000000e+00 1.026814349558428e-06 2.354954554136887e-02 3.656681575175859e-06 8.386441942686187e-02 1.116039221964190e-05 2.559587962020788e-01 2.131649510063291e-05 4.888846483014178e-01 1.757260235763736e-05 4.030200782444358e-01 -4.339498482303811e-05 -9.952453155690896e-01 2.103465970803670e-04 4.824208747712094e+00 4.983742889999999e-05 1.143000000000000e+00 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2.610000000000000e-01 9.592505999999998e-07 2.200000000000000e-02 1.220864400000000e-04 2.800000000000000e+00 1.072616580000000e-05 2.460000000000000e-01 1.094417730000000e-05 2.509999999999999e-01 1.074796695000000e-05 2.465000000000000e-01 2.470070295000000e-05 5.665000000000000e-01 6.078160619999999e-05 1.394000000000000e+00 5.517871064999999e-05 1.265500000000000e+00 1.373472450000000e-06 3.150000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 2.790547200000000e-06 6.400000000000000e-02 1.235471170500000e-04 2.833500000000000e+00 3.562307910000000e-05 8.170000000000001e-01 1.748452230000000e-05 4.010000000000000e-01 1.656887400000000e-06 3.800000000000000e-02 1.414894635000000e-04 3.245000000000000e+00 1.807751358000000e-04 4.146000000000000e+00 1.249205895000000e-04 2.865000000000000e+00 3.761570421000000e-04 8.627000000000001e+00 4.338428850000000e-05 9.949999999999999e-01 2.502772020000000e-05 5.740000000000000e-01 2.616138000000000e-06 6.000000000000000e-02 2.498411790000000e-05 5.730000000000000e-01 6.113042459999998e-05 1.402000000000000e+00 7.695805949999999e-06 1.765000000000000e-01 8.234294354999999e-05 1.888500000000000e+00 2.620934253000000e-04 6.011000000000000e+00 3.230930429999999e-05 7.409999999999999e-01 2.097270630000000e-05 4.810000000000000e-01 1.356031530000000e-05 3.110000000000000e-01 2.293480980000000e-05 5.259999999999999e-01 5.868869579999998e-05 1.346000000000000e+00 1.220864400000000e-04 2.800000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAP.dat b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAP.dat deleted file mode 100644 index a198c2c75c..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAP.dat +++ /dev/null @@ -1,11 +0,0 @@ -ATLASTOPDIFF8TEVTTRAP 57 10 - 1 HQP_YQQ -1.900000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 1.651594913000000e+01 3.000819248882587e-01 4.811958199999999e-02 2.045000000000000e-01 6.874225999999999e-02 3.690000000000000e-01 6.128827999999999e-03 1.279000000000000e+00 2.252758400000000e-02 1.192000000000000e+00 4.306744000000000e-03 7.250000000000001e-02 1.026992800000000e-02 3.500000000000000e-02 2.261040600000000e-02 3.670000000000000e-01 4.571774399999999e-02 1.060000000000000e-01 4.969320000000000e-04 2.405000000000000e-01 2.319016000000000e-03 7.800000000000000e-02 5.842263880000000e-01 6.031000000000000e+00 1.242330000000000e-02 6.649999999999999e-02 6.211650000000000e-03 3.165000000000000e-01 6.625760000000000e-04 8.499999999999999e-03 1.004630860000000e-01 5.480000000000000e-01 3.859505199999999e-02 3.190000000000000e-01 9.110419999999999e-04 1.750000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 8.389868599999999e-02 5.595000000000001e-01 6.791403999999998e-02 2.350000000000000e-01 2.302451599999999e-02 8.160000000000001e-01 7.950911999999999e-03 5.100000000000000e-02 1.595151720000000e-01 8.865000000000000e-01 1.490796000000000e-02 7.800000000000000e-02 4.472387999999999e-03 4.200000000000000e-02 4.638031999999999e-01 2.800000000000000e+00 2.980763780000000e-01 2.105500000000000e+00 3.172082600000000e-02 1.810000000000000e-01 5.134964000000000e-03 4.750000000000000e-02 1.114784120000000e-01 6.280000000000000e-01 1.997666640000000e-01 1.536000000000000e+00 8.671463399999998e-02 5.579999999999999e-01 1.904906000000000e-03 3.949999999999999e-02 0.000000000000000e+00 0.000000000000000e+00 2.236194000000000e-03 3.350000000000000e-02 2.998156400000000e-02 2.710000000000000e-01 5.830668800000000e-02 1.850000000000000e-01 1.470090500000000e-01 9.065000000000001e-01 1.325152000000000e-03 4.000000000000000e-03 2.269322800000000e-02 2.360000000000000e+00 9.916278059999999e-01 9.367499999999998e+00 1.651470680000000e-01 9.370000000000002e-01 5.388399319999999e-01 3.335000000000000e+00 1.879231180000000e-01 1.331000000000000e+00 4.505516800000000e-02 3.310000000000000e-01 1.159508000000000e-03 7.299999999999998e-02 1.192636800000000e-02 7.600000000000000e-02 2.224598920000000e-01 1.275000000000000e+00 6.360729599999999e-02 3.895000000000000e-01 4.911344600000000e-02 3.740000000000000e-01 6.997630779999998e-01 4.241000000000000e+00 2.800211819999999e-01 1.815500000000000e+00 4.638031999999999e-03 3.900000000000000e-02 2.550917599999999e-02 2.930000000000000e-01 2.294169400000000e-02 9.200000000000000e-02 3.755149480000000e-01 2.457000000000000e+00 3.101316350580000e+00 2.800000000000000e+00 - 2 HQP_YQQ -1.100000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 5.851015557500000e+01 6.793406919304746e-01 1.623732425000000e-01 2.520000000000000e-01 2.525153500000000e-01 3.580000000000000e-01 3.053674000000000e-02 5.190000000000000e-01 1.374153300000000e-01 7.515000000000001e-01 1.644286000000000e-02 4.700000000000000e-02 3.934541499999999e-02 1.000000000000000e-02 7.164389000000000e-02 2.550000000000000e-01 1.424069125000000e-01 1.625000000000000e-01 2.936224999999999e-03 2.100000000000000e-02 1.145127750000000e-02 2.500000000000000e-02 2.282034070000000e+00 3.668000000000001e+00 4.521786500000000e-02 7.400000000000001e-02 3.552832250000000e-02 1.560000000000000e-01 5.872450000000000e-04 1.500000000000000e-03 3.567513374999999e-01 6.530000000000000e-01 1.380025750000000e-01 2.550000000000000e-01 6.166072500000000e-03 1.650000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 2.971459700000000e-01 5.385000000000001e-01 2.354852450000000e-01 2.940000000000000e-01 9.924440499999999e-02 2.780000000000000e-01 3.112398499999999e-02 5.400000000000000e-02 5.622870875000000e-01 9.115000000000000e-01 5.343929499999999e-02 8.900000000000000e-02 2.407704499999999e-02 1.100000000000000e-02 1.644286000000000e+00 2.800000000000000e+00 1.091394832500000e+00 1.959500000000000e+00 1.092275700000000e-01 1.885000000000000e-01 1.703010500000000e-02 3.600000000000000e-02 3.858199649999999e-01 6.490000000000000e-01 7.146771650000001e-01 1.334000000000000e+00 2.950906125000000e-01 5.495000000000000e-01 6.459695000000000e-03 2.300000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.321301250000000e-02 1.750000000000000e-02 9.806991499999999e-02 2.275000000000000e-01 1.679520700000000e-01 2.900000000000000e-01 5.264651424999999e-01 9.095000000000001e-01 5.872450000000000e-04 1.400000000000000e-02 4.815409000000000e-02 8.300000000000002e-02 3.608326902499999e+00 7.445500000000001e+00 5.954664300000000e-01 9.790000000000000e-01 2.247386615000000e+00 4.039000000000001e+00 6.674039424999999e-01 1.246000000000000e+00 1.239086950000000e-01 1.700000000000000e-01 5.285204999999999e-03 7.000000000000001e-03 4.433699749999999e-02 6.150000000000000e-02 7.845593200000001e-01 1.282000000000000e+00 2.257957025000000e-01 4.015000000000001e-01 1.664839575000000e-01 3.540000000000000e-01 2.483752727500000e+00 4.232000000000001e+00 9.801119049999998e-01 1.767000000000000e+00 9.102297500000000e-03 3.150000000000000e-02 8.397603499999999e-02 1.920000000000000e-01 7.722271750000000e-02 1.180000000000000e-01 1.321888495000000e+00 2.383000000000000e+00 2.857129017400000e+00 2.800000000000000e+00 - 3 HQP_YQQ -7.500000000000000e-01 3.003289000000000e+04 8.000000000000000e+03 8.459160622499999e+01 8.195103843122703e-01 2.234297625000000e-01 2.645000000000000e-01 3.260638500000000e-01 3.860000000000000e-01 1.106589750000000e-01 1.310000000000000e-01 3.657659250000000e-01 4.329999999999999e-01 1.689450000000000e-02 2.000000000000000e-02 3.463372500000000e-02 4.100000000000000e-02 1.381125375000000e-01 1.635000000000000e-01 1.583859375000000e-01 1.875000000000000e-01 5.490712499999999e-03 6.500000000000000e-03 9.714337500000000e-03 1.150000000000000e-02 3.070575375000000e+00 3.635000000000000e+00 5.870838750000000e-02 6.950000000000001e-02 1.013670000000000e-01 1.200000000000000e-01 1.689450000000000e-03 2.000000000000000e-03 5.279531249999999e-01 6.250000000000000e-01 2.018892750000000e-01 2.390000000000000e-01 -7.180162500000000e-03 -8.500000000000001e-03 0.000000000000000e+00 0.000000000000000e+00 4.324992000000000e-01 5.120000000000000e-01 2.855170500000000e-01 3.380000000000000e-01 1.571188500000000e-01 1.860000000000000e-01 4.054680000000000e-02 4.800000000000000e-02 7.851718875000000e-01 9.295000000000000e-01 5.659657500000000e-02 6.700000000000000e-02 2.491938750000000e-02 2.950000000000000e-02 2.365229999999999e+00 2.799999999999999e+00 1.585126462500000e+00 1.876500000000000e+00 1.364230875000000e-01 1.615000000000000e-01 2.449702500000000e-02 2.900000000000000e-02 5.490712499999999e-01 6.499999999999999e-01 1.057595700000000e+00 1.252000000000000e+00 4.350333750000000e-01 5.150000000000000e-01 1.816158750000000e-02 2.150000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.816158750000000e-02 2.150000000000000e-02 1.419138000000000e-01 1.680000000000000e-01 2.255415750000000e-01 2.670000000000000e-01 7.564512375000000e-01 8.955000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.449702500000000e-02 2.900000000000000e-02 5.581942800000000e+00 6.608000000000001e+00 8.607747749999999e-01 1.019000000000000e+00 3.609509925000000e+00 4.273000000000000e+00 9.794586375000001e-01 1.159500000000000e+00 1.875289500000000e-01 2.220000000000000e-01 2.111812500000000e-02 2.500000000000000e-02 5.110586250000000e-02 6.050000000000000e-02 1.109968650000000e+00 1.314000000000000e+00 2.998773750000000e-01 3.550000000000000e-01 2.306099250000000e-01 2.730000000000000e-01 3.570230212499999e+00 4.226500000000000e+00 1.431808875000000e+00 1.695000000000000e+00 1.689450000000000e-02 2.000000000000000e-02 1.436032500000000e-01 1.700000000000000e-01 1.161496875000000e-01 1.375000000000000e-01 1.914569212500000e+00 2.266500000000000e+00 2.365229999999999e+00 2.800000000000000e+00 - 4 HQP_YQQ -4.500000000000000e-01 3.003289000000000e+04 8.000000000000000e+03 1.020403220500000e+02 8.427346701442392e-01 0.000000000000000e+00 2.765000000000000e-01 0.000000000000000e+00 4.300000000000000e-01 0.000000000000000e+00 5.200000000000000e-02 0.000000000000000e+00 2.340000000000000e-01 0.000000000000000e+00 2.800000000000000e-02 0.000000000000000e+00 6.699999999999999e-02 0.000000000000000e+00 1.220000000000000e-01 0.000000000000000e+00 2.425000000000000e-01 0.000000000000000e+00 4.999999999999999e-03 0.000000000000000e+00 1.950000000000000e-02 0.000000000000000e+00 3.886000000000000e+00 0.000000000000000e+00 7.699999999999999e-02 0.000000000000000e+00 6.050000000000000e-02 0.000000000000000e+00 1.000000000000000e-03 0.000000000000000e+00 6.074999999999999e-01 0.000000000000000e+00 2.350000000000000e-01 0.000000000000000e+00 1.050000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.060000000000000e-01 0.000000000000000e+00 4.010000000000000e-01 0.000000000000000e+00 1.690000000000000e-01 0.000000000000000e+00 5.299999999999998e-02 0.000000000000000e+00 9.574999999999999e-01 0.000000000000000e+00 9.099999999999998e-02 0.000000000000000e+00 4.099999999999999e-02 0.000000000000000e+00 2.799999999999999e+00 0.000000000000000e+00 1.858500000000000e+00 0.000000000000000e+00 1.860000000000000e-01 0.000000000000000e+00 2.900000000000000e-02 0.000000000000000e+00 6.569999999999999e-01 0.000000000000000e+00 1.217000000000000e+00 0.000000000000000e+00 5.024999999999999e-01 0.000000000000000e+00 1.100000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.250000000000000e-02 0.000000000000000e+00 1.670000000000000e-01 0.000000000000000e+00 2.860000000000000e-01 0.000000000000000e+00 8.964999999999999e-01 0.000000000000000e+00 1.000000000000000e-03 0.000000000000000e+00 8.200000000000000e-02 0.000000000000000e+00 6.144499999999999e+00 0.000000000000000e+00 1.014000000000000e+00 0.000000000000000e+00 3.827000000000000e+00 0.000000000000000e+00 1.136500000000000e+00 0.000000000000000e+00 2.110000000000000e-01 0.000000000000000e+00 8.999999999999998e-03 0.000000000000000e+00 7.549999999999998e-02 0.000000000000000e+00 1.336000000000000e+00 0.000000000000000e+00 3.845000000000000e-01 0.000000000000000e+00 2.835000000000000e-01 0.000000000000000e+00 4.229500000000000e+00 0.000000000000000e+00 1.669000000000000e+00 0.000000000000000e+00 1.550000000000000e-02 0.000000000000000e+00 1.430000000000000e-01 0.000000000000000e+00 1.315000000000000e-01 0.000000000000000e+00 2.251000000000000e+00 0.000000000000000e+00 2.800000000000000e+00 - 5 HQP_YQQ -1.500000000000000e-01 3.003289000000000e+04 8.000000000000000e+03 1.107612982350000e+02 9.721701421763681e-01 0.000000000000000e+00 2.905000000000000e-01 0.000000000000000e+00 4.149999999999999e-01 0.000000000000000e+00 3.700000000000000e-02 0.000000000000000e+00 1.360000000000000e-01 0.000000000000000e+00 2.600000000000000e-02 0.000000000000000e+00 6.200000000000000e-02 0.000000000000000e+00 1.365000000000000e-01 0.000000000000000e+00 2.760000000000000e-01 0.000000000000000e+00 3.000000000000000e-03 0.000000000000000e+00 1.400000000000000e-02 0.000000000000000e+00 3.527000000000000e+00 0.000000000000000e+00 7.500000000000000e-02 0.000000000000000e+00 3.750000000000000e-02 0.000000000000000e+00 4.000000000000000e-03 0.000000000000000e+00 6.065000000000000e-01 0.000000000000000e+00 2.330000000000000e-01 0.000000000000000e+00 5.500000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.065000000000000e-01 0.000000000000000e+00 4.099999999999999e-01 0.000000000000000e+00 1.390000000000000e-01 0.000000000000000e+00 4.799999999999999e-02 0.000000000000000e+00 9.629999999999999e-01 0.000000000000000e+00 8.999999999999998e-02 0.000000000000000e+00 2.700000000000000e-02 0.000000000000000e+00 2.799999999999999e+00 0.000000000000000e+00 1.799500000000000e+00 0.000000000000000e+00 1.915000000000000e-01 0.000000000000000e+00 3.100000000000000e-02 0.000000000000000e+00 6.730000000000000e-01 0.000000000000000e+00 1.206000000000000e+00 0.000000000000000e+00 5.235000000000000e-01 0.000000000000000e+00 1.150000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.350000000000000e-02 0.000000000000000e+00 1.810000000000000e-01 0.000000000000000e+00 3.520000000000000e-01 0.000000000000000e+00 8.875000000000000e-01 0.000000000000000e+00 8.000000000000000e-03 0.000000000000000e+00 1.370000000000000e-01 0.000000000000000e+00 5.986499999999999e+00 0.000000000000000e+00 9.969999999999998e-01 0.000000000000000e+00 3.253000000000000e+00 0.000000000000000e+00 1.134500000000000e+00 0.000000000000000e+00 2.720000000000000e-01 0.000000000000000e+00 6.999999999999999e-03 0.000000000000000e+00 7.199999999999999e-02 0.000000000000000e+00 1.343000000000000e+00 0.000000000000000e+00 3.840000000000000e-01 0.000000000000000e+00 2.965000000000000e-01 0.000000000000000e+00 4.224499999999999e+00 0.000000000000000e+00 1.690500000000000e+00 0.000000000000000e+00 2.800000000000000e-02 0.000000000000000e+00 1.540000000000000e-01 0.000000000000000e+00 1.385000000000000e-01 0.000000000000000e+00 2.267000000000000e+00 0.000000000000000e+00 2.800000000000000e+00 - 6 HQP_YQQ 1.500000000000000e-01 3.003289000000000e+04 8.000000000000000e+03 1.107612982350000e+02 9.721701421763681e-01 0.000000000000000e+00 2.905000000000000e-01 0.000000000000000e+00 4.149999999999999e-01 0.000000000000000e+00 3.700000000000000e-02 0.000000000000000e+00 1.360000000000000e-01 0.000000000000000e+00 2.600000000000000e-02 0.000000000000000e+00 6.200000000000000e-02 0.000000000000000e+00 1.365000000000000e-01 0.000000000000000e+00 2.760000000000000e-01 0.000000000000000e+00 3.000000000000000e-03 0.000000000000000e+00 1.400000000000000e-02 0.000000000000000e+00 3.527000000000000e+00 0.000000000000000e+00 7.500000000000000e-02 0.000000000000000e+00 3.750000000000000e-02 0.000000000000000e+00 4.000000000000000e-03 0.000000000000000e+00 6.065000000000000e-01 0.000000000000000e+00 2.330000000000000e-01 0.000000000000000e+00 5.500000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.065000000000000e-01 0.000000000000000e+00 4.099999999999999e-01 0.000000000000000e+00 1.390000000000000e-01 0.000000000000000e+00 4.799999999999999e-02 0.000000000000000e+00 9.629999999999999e-01 0.000000000000000e+00 8.999999999999998e-02 0.000000000000000e+00 2.700000000000000e-02 0.000000000000000e+00 2.799999999999999e+00 0.000000000000000e+00 1.799500000000000e+00 0.000000000000000e+00 1.915000000000000e-01 0.000000000000000e+00 3.100000000000000e-02 0.000000000000000e+00 6.730000000000000e-01 0.000000000000000e+00 1.206000000000000e+00 0.000000000000000e+00 5.235000000000000e-01 0.000000000000000e+00 1.150000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.350000000000000e-02 0.000000000000000e+00 1.810000000000000e-01 0.000000000000000e+00 3.520000000000000e-01 0.000000000000000e+00 8.875000000000000e-01 0.000000000000000e+00 8.000000000000000e-03 0.000000000000000e+00 1.370000000000000e-01 0.000000000000000e+00 5.986499999999999e+00 0.000000000000000e+00 9.969999999999998e-01 0.000000000000000e+00 3.253000000000000e+00 0.000000000000000e+00 1.134500000000000e+00 0.000000000000000e+00 2.720000000000000e-01 0.000000000000000e+00 6.999999999999999e-03 0.000000000000000e+00 7.199999999999999e-02 0.000000000000000e+00 1.343000000000000e+00 0.000000000000000e+00 3.840000000000000e-01 0.000000000000000e+00 2.965000000000000e-01 0.000000000000000e+00 4.224499999999999e+00 0.000000000000000e+00 1.690500000000000e+00 0.000000000000000e+00 2.800000000000000e-02 0.000000000000000e+00 1.540000000000000e-01 0.000000000000000e+00 1.385000000000000e-01 0.000000000000000e+00 2.267000000000000e+00 0.000000000000000e+00 2.800000000000000e+00 - 7 HQP_YQQ 4.500000000000000e-01 3.003289000000000e+04 8.000000000000000e+03 1.020403220500000e+02 8.427346701442392e-01 0.000000000000000e+00 2.765000000000000e-01 0.000000000000000e+00 4.300000000000000e-01 0.000000000000000e+00 5.200000000000000e-02 0.000000000000000e+00 2.340000000000000e-01 0.000000000000000e+00 2.800000000000000e-02 0.000000000000000e+00 6.699999999999999e-02 0.000000000000000e+00 1.220000000000000e-01 0.000000000000000e+00 2.425000000000000e-01 0.000000000000000e+00 4.999999999999999e-03 0.000000000000000e+00 1.950000000000000e-02 0.000000000000000e+00 3.886000000000000e+00 0.000000000000000e+00 7.699999999999999e-02 0.000000000000000e+00 6.050000000000000e-02 0.000000000000000e+00 1.000000000000000e-03 0.000000000000000e+00 6.074999999999999e-01 0.000000000000000e+00 2.350000000000000e-01 0.000000000000000e+00 1.050000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.060000000000000e-01 0.000000000000000e+00 4.010000000000000e-01 0.000000000000000e+00 1.690000000000000e-01 0.000000000000000e+00 5.299999999999998e-02 0.000000000000000e+00 9.574999999999999e-01 0.000000000000000e+00 9.099999999999998e-02 0.000000000000000e+00 4.099999999999999e-02 0.000000000000000e+00 2.799999999999999e+00 0.000000000000000e+00 1.858500000000000e+00 0.000000000000000e+00 1.860000000000000e-01 0.000000000000000e+00 2.900000000000000e-02 0.000000000000000e+00 6.569999999999999e-01 0.000000000000000e+00 1.217000000000000e+00 0.000000000000000e+00 5.024999999999999e-01 0.000000000000000e+00 1.100000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.250000000000000e-02 0.000000000000000e+00 1.670000000000000e-01 0.000000000000000e+00 2.860000000000000e-01 0.000000000000000e+00 8.964999999999999e-01 0.000000000000000e+00 1.000000000000000e-03 0.000000000000000e+00 8.200000000000000e-02 0.000000000000000e+00 6.144499999999999e+00 0.000000000000000e+00 1.014000000000000e+00 0.000000000000000e+00 3.827000000000000e+00 0.000000000000000e+00 1.136500000000000e+00 0.000000000000000e+00 2.110000000000000e-01 0.000000000000000e+00 8.999999999999998e-03 0.000000000000000e+00 7.549999999999998e-02 0.000000000000000e+00 1.336000000000000e+00 0.000000000000000e+00 3.845000000000000e-01 0.000000000000000e+00 2.835000000000000e-01 0.000000000000000e+00 4.229500000000000e+00 0.000000000000000e+00 1.669000000000000e+00 0.000000000000000e+00 1.550000000000000e-02 0.000000000000000e+00 1.430000000000000e-01 0.000000000000000e+00 1.315000000000000e-01 0.000000000000000e+00 2.251000000000000e+00 0.000000000000000e+00 2.800000000000000e+00 - 8 HQP_YQQ 7.500000000000000e-01 3.003289000000000e+04 8.000000000000000e+03 8.459160622499999e+01 8.195103843122703e-01 0.000000000000000e+00 2.645000000000000e-01 0.000000000000000e+00 3.860000000000000e-01 0.000000000000000e+00 1.310000000000000e-01 0.000000000000000e+00 4.329999999999999e-01 0.000000000000000e+00 2.000000000000000e-02 0.000000000000000e+00 4.100000000000000e-02 0.000000000000000e+00 1.635000000000000e-01 0.000000000000000e+00 1.875000000000000e-01 0.000000000000000e+00 6.500000000000000e-03 0.000000000000000e+00 1.150000000000000e-02 0.000000000000000e+00 3.635000000000000e+00 0.000000000000000e+00 6.950000000000001e-02 0.000000000000000e+00 1.200000000000000e-01 0.000000000000000e+00 2.000000000000000e-03 0.000000000000000e+00 6.250000000000000e-01 0.000000000000000e+00 2.390000000000000e-01 0.000000000000000e+00 -8.500000000000001e-03 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.120000000000000e-01 0.000000000000000e+00 3.380000000000000e-01 0.000000000000000e+00 1.860000000000000e-01 0.000000000000000e+00 4.800000000000000e-02 0.000000000000000e+00 9.295000000000000e-01 0.000000000000000e+00 6.700000000000000e-02 0.000000000000000e+00 2.950000000000000e-02 0.000000000000000e+00 2.799999999999999e+00 0.000000000000000e+00 1.876500000000000e+00 0.000000000000000e+00 1.615000000000000e-01 0.000000000000000e+00 2.900000000000000e-02 0.000000000000000e+00 6.499999999999999e-01 0.000000000000000e+00 1.252000000000000e+00 0.000000000000000e+00 5.150000000000000e-01 0.000000000000000e+00 2.150000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.150000000000000e-02 0.000000000000000e+00 1.680000000000000e-01 0.000000000000000e+00 2.670000000000000e-01 0.000000000000000e+00 8.955000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.900000000000000e-02 0.000000000000000e+00 6.608000000000001e+00 0.000000000000000e+00 1.019000000000000e+00 0.000000000000000e+00 4.273000000000000e+00 0.000000000000000e+00 1.159500000000000e+00 0.000000000000000e+00 2.220000000000000e-01 0.000000000000000e+00 2.500000000000000e-02 0.000000000000000e+00 6.050000000000000e-02 0.000000000000000e+00 1.314000000000000e+00 0.000000000000000e+00 3.550000000000000e-01 0.000000000000000e+00 2.730000000000000e-01 0.000000000000000e+00 4.226500000000000e+00 0.000000000000000e+00 1.695000000000000e+00 0.000000000000000e+00 2.000000000000000e-02 0.000000000000000e+00 1.700000000000000e-01 0.000000000000000e+00 1.375000000000000e-01 0.000000000000000e+00 2.266500000000000e+00 1.914569212500000e+00 2.800000000000000e+00 - 9 HQP_YQQ 1.100000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 5.851015557500000e+01 6.793406919304746e-01 1.623732425000000e-01 2.520000000000000e-01 2.525153500000000e-01 3.580000000000000e-01 3.053674000000000e-02 5.190000000000000e-01 1.374153300000000e-01 7.515000000000001e-01 1.644286000000000e-02 4.700000000000000e-02 3.934541499999999e-02 1.000000000000000e-02 7.164389000000000e-02 2.550000000000000e-01 1.424069125000000e-01 1.625000000000000e-01 2.936224999999999e-03 2.100000000000000e-02 1.145127750000000e-02 2.500000000000000e-02 2.282034070000000e+00 3.668000000000001e+00 4.521786500000000e-02 7.400000000000001e-02 3.552832250000000e-02 1.560000000000000e-01 5.872450000000000e-04 1.500000000000000e-03 3.567513374999999e-01 6.530000000000000e-01 1.380025750000000e-01 2.550000000000000e-01 6.166072500000000e-03 1.650000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 2.971459700000000e-01 5.385000000000001e-01 2.354852450000000e-01 2.940000000000000e-01 9.924440499999999e-02 2.780000000000000e-01 3.112398499999999e-02 5.400000000000000e-02 5.622870875000000e-01 9.115000000000000e-01 5.343929499999999e-02 8.900000000000000e-02 2.407704499999999e-02 1.100000000000000e-02 1.644286000000000e+00 2.800000000000000e+00 1.091394832500000e+00 1.959500000000000e+00 1.092275700000000e-01 1.885000000000000e-01 1.703010500000000e-02 3.600000000000000e-02 3.858199649999999e-01 6.490000000000000e-01 7.146771650000001e-01 1.334000000000000e+00 2.950906125000000e-01 5.495000000000000e-01 6.459695000000000e-03 2.300000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.321301250000000e-02 1.750000000000000e-02 9.806991499999999e-02 2.275000000000000e-01 1.679520700000000e-01 2.900000000000000e-01 5.264651424999999e-01 9.095000000000001e-01 5.872450000000000e-04 1.400000000000000e-02 4.815409000000000e-02 8.300000000000002e-02 3.608326902499999e+00 7.445500000000001e+00 5.954664300000000e-01 9.790000000000000e-01 2.247386615000000e+00 4.039000000000001e+00 6.674039424999999e-01 1.246000000000000e+00 1.239086950000000e-01 1.700000000000000e-01 5.285204999999999e-03 7.000000000000001e-03 4.433699749999999e-02 6.150000000000000e-02 7.845593200000001e-01 1.282000000000000e+00 2.257957025000000e-01 4.015000000000001e-01 1.664839575000000e-01 3.540000000000000e-01 2.483752727500000e+00 4.232000000000001e+00 9.801119049999998e-01 1.767000000000000e+00 9.102297500000000e-03 3.150000000000000e-02 8.397603499999999e-02 1.920000000000000e-01 7.722271750000000e-02 1.180000000000000e-01 1.321888495000000e+00 2.383000000000000e+00 2.857129017400000e+00 2.800000000000000e+00 - 10 HQP_YQQ 1.900000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 1.651594913000000e+01 3.000819248882587e-01 4.811958199999999e-02 2.045000000000000e-01 6.874225999999999e-02 3.690000000000000e-01 6.128827999999999e-03 1.279000000000000e+00 2.252758400000000e-02 1.192000000000000e+00 4.306744000000000e-03 7.250000000000001e-02 1.026992800000000e-02 3.500000000000000e-02 2.261040600000000e-02 3.670000000000000e-01 4.571774399999999e-02 1.060000000000000e-01 4.969320000000000e-04 2.405000000000000e-01 2.319016000000000e-03 7.800000000000000e-02 5.842263880000000e-01 6.031000000000000e+00 1.242330000000000e-02 6.649999999999999e-02 6.211650000000000e-03 3.165000000000000e-01 6.625760000000000e-04 8.499999999999999e-03 1.004630860000000e-01 5.480000000000000e-01 3.859505199999999e-02 3.190000000000000e-01 9.110419999999999e-04 1.750000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 8.389868599999999e-02 5.595000000000001e-01 6.791403999999998e-02 2.350000000000000e-01 2.302451599999999e-02 8.160000000000001e-01 7.950911999999999e-03 5.100000000000000e-02 1.595151720000000e-01 8.865000000000000e-01 1.490796000000000e-02 7.800000000000000e-02 4.472387999999999e-03 4.200000000000000e-02 4.638031999999999e-01 2.800000000000000e+00 2.980763780000000e-01 2.105500000000000e+00 3.172082600000000e-02 1.810000000000000e-01 5.134964000000000e-03 4.750000000000000e-02 1.114784120000000e-01 6.280000000000000e-01 1.997666640000000e-01 1.536000000000000e+00 8.671463399999998e-02 5.579999999999999e-01 1.904906000000000e-03 3.949999999999999e-02 0.000000000000000e+00 0.000000000000000e+00 2.236194000000000e-03 3.350000000000000e-02 2.998156400000000e-02 2.710000000000000e-01 5.830668800000000e-02 1.850000000000000e-01 1.470090500000000e-01 9.065000000000001e-01 1.325152000000000e-03 4.000000000000000e-03 2.269322800000000e-02 2.360000000000000e+00 9.916278059999999e-01 9.367499999999998e+00 1.651470680000000e-01 9.370000000000002e-01 5.388399319999999e-01 3.335000000000000e+00 1.879231180000000e-01 1.331000000000000e+00 4.505516800000000e-02 3.310000000000000e-01 1.159508000000000e-03 7.299999999999998e-02 1.192636800000000e-02 7.600000000000000e-02 2.224598920000000e-01 1.275000000000000e+00 6.360729599999999e-02 3.895000000000000e-01 4.911344600000000e-02 3.740000000000000e-01 6.997630779999998e-01 4.241000000000000e+00 2.800211819999999e-01 1.815500000000000e+00 4.638031999999999e-03 3.900000000000000e-02 2.550917599999999e-02 2.930000000000000e-01 2.294169400000000e-02 9.200000000000000e-02 3.755149480000000e-01 2.457000000000000e+00 3.101316350580000e+00 2.800000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTTBARTOT13TEV.dat b/nnpdfcpp/data/commondata/DATA_ATLASTTBARTOT13TEV.dat deleted file mode 100644 index 3ec4143e71..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASTTBARTOT13TEV.dat +++ /dev/null @@ -1,2 +0,0 @@ -ATLASTTBARTOT13TEV 3 1 - 1 INC 0.000000000000000e+00 3.003289000000000e+04 1.300000000000000e+04 8.180000000000000e+02 8.000000000000000e+00 2.700000000000000e+01 3.300733496332518e+00 1.900000000000000e+01 2.322738386308068e+00 1.200000000000000e+01 1.466992665036675e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTTBARTOT7TEV.dat b/nnpdfcpp/data/commondata/DATA_ATLASTTBARTOT7TEV.dat deleted file mode 100644 index 9c2337ac92..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASTTBARTOT7TEV.dat +++ /dev/null @@ -1,2 +0,0 @@ -ATLASTTBARTOT7TEV 3 1 - 1 INC 0.000000000000000e+00 3.003289000000000e+04 7.000000000000000e+03 1.829000000000000e+02 3.100000000000000e+00 4.200000000000000e+00 2.296336796063423e+00 3.600000000000000e+00 1.968288682340076e+00 3.300000000000000e+00 1.804264625478403e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTTBARTOT8TEV.dat b/nnpdfcpp/data/commondata/DATA_ATLASTTBARTOT8TEV.dat deleted file mode 100644 index 77a60d03c7..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASTTBARTOT8TEV.dat +++ /dev/null @@ -1,2 +0,0 @@ -ATLASTTBARTOT8TEV 3 1 - 1 INC 0.000000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 2.424000000000000e+02 1.700000000000000e+00 5.500000000000000e+00 2.268976897689769e+00 7.500000000000000e+00 3.094059405940594e+00 4.200000000000000e+00 1.732673267326733e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CDFWASYM.dat b/nnpdfcpp/data/commondata/DATA_CDFWASYM.dat deleted file mode 100644 index fd06361997..0000000000 --- a/nnpdfcpp/data/commondata/DATA_CDFWASYM.dat +++ /dev/null @@ -1,14 +0,0 @@ -CDFWASYM 7 13 - 1 EWK_RAP_ASY 1.000000000000000e-01 6.463838403999999e+03 1.960000000000000e+03 1.990000000000000e-02 3.100000000000000e-03 2.000000000000000e-04 1.005025125628141e+00 4.000000000000000e-04 2.010050251256281e+00 1.000000000000000e-04 5.025125628140703e-01 1.100000000000000e-03 5.527638190954773e+00 3.000000000000000e-04 1.507537688442211e+00 2.000000000000000e-04 1.005025125628141e+00 3.000000000000000e-04 1.507537688442211e+00 - 2 EWK_RAP_ASY 3.000000000000000e-01 6.463838403999999e+03 1.960000000000000e+03 5.710000000000000e-02 3.200000000000000e-03 1.000000000000000e-04 1.751313485113835e-01 9.000000000000000e-04 1.576182136602452e+00 4.000000000000000e-04 7.005253940455342e-01 2.200000000000000e-03 3.852889667250438e+00 8.000000000000000e-04 1.401050788091068e+00 7.000000000000001e-04 1.225919439579685e+00 8.000000000000000e-04 1.401050788091068e+00 - 3 EWK_RAP_ASY 5.000000000000000e-01 6.463838403999999e+03 1.960000000000000e+03 8.130000000000000e-02 3.300000000000000e-03 2.000000000000000e-04 2.460024600246003e-01 1.100000000000000e-03 1.353013530135301e+00 5.999999999999999e-04 7.380073800738007e-01 2.200000000000000e-03 2.706027060270603e+00 1.300000000000000e-03 1.599015990159902e+00 1.700000000000000e-03 2.091020910209102e+00 1.500000000000000e-03 1.845018450184502e+00 - 4 EWK_RAP_ASY 7.000000000000000e-01 6.463838403999999e+03 1.960000000000000e+03 1.168000000000000e-01 3.200000000000000e-03 3.000000000000000e-04 2.568493150684931e-01 1.500000000000000e-03 1.284246575342466e+00 7.000000000000001e-04 5.993150684931507e-01 3.400000000000000e-03 2.910958904109589e+00 1.400000000000000e-03 1.198630136986301e+00 3.000000000000000e-03 2.568493150684931e+00 2.200000000000000e-03 1.883561643835616e+00 - 5 EWK_RAP_ASY 8.900000000000000e-01 6.463838403999999e+03 1.960000000000000e+03 1.456000000000000e-01 3.400000000000000e-03 3.000000000000000e-04 2.060439560439560e-01 2.000000000000000e-03 1.373626373626374e+00 7.000000000000001e-04 4.807692307692308e-01 4.200000000000000e-03 2.884615384615385e+00 1.100000000000000e-03 7.554945054945055e-01 4.700000000000000e-03 3.228021978021978e+00 2.400000000000000e-03 1.648351648351648e+00 - 6 EWK_RAP_ASY 1.090000000000000e+00 6.463838403999999e+03 1.960000000000000e+03 2.040000000000000e-01 3.800000000000000e-03 4.000000000000000e-04 1.960784313725490e-01 1.800000000000000e-03 8.823529411764706e-01 8.000000000000000e-04 3.921568627450981e-01 3.300000000000000e-03 1.617647058823530e+00 9.000000000000000e-04 4.411764705882353e-01 6.900000000000000e-03 3.382352941176471e+00 2.700000000000000e-03 1.323529411764706e+00 - 7 EWK_RAP_ASY 1.290000000000000e+00 6.463838403999999e+03 1.960000000000000e+03 2.354000000000000e-01 4.300000000000000e-03 5.000000000000000e-04 2.124044180118947e-01 1.800000000000000e-03 7.646559048428208e-01 1.500000000000000e-03 6.372132540356840e-01 6.700000000000000e-03 2.846219201359388e+00 5.999999999999999e-04 2.548853016142736e-01 7.800000000000001e-03 3.313508920985557e+00 2.800000000000000e-03 1.189464740866610e+00 - 8 EWK_RAP_ASY 1.490000000000000e+00 6.463838403999999e+03 1.960000000000000e+03 2.613000000000000e-01 5.000000000000000e-03 4.000000000000000e-04 1.530807500956755e-01 1.400000000000000e-03 5.357826253348642e-01 1.400000000000000e-03 5.357826253348642e-01 1.100000000000000e-02 4.209720627631076e+00 4.000000000000000e-04 1.530807500956755e-01 8.500000000000001e-03 3.252965939533104e+00 2.800000000000000e-03 1.071565250669728e+00 - 9 EWK_RAP_ASY 1.690000000000000e+00 6.463838403999999e+03 1.960000000000000e+03 3.027000000000000e-01 5.500000000000001e-03 8.000000000000000e-04 2.642880740006607e-01 1.200000000000000e-03 3.964321110009910e-01 2.600000000000000e-03 8.589362405021473e-01 9.200000000000000e-03 3.039312851007598e+00 3.000000000000000e-04 9.910802775024775e-02 8.900000000000000e-03 2.940204823257350e+00 2.900000000000000e-03 9.580442682523950e-01 - 10 EWK_RAP_ASY 1.910000000000000e+00 6.463838403999999e+03 1.960000000000000e+03 3.553000000000000e-01 6.200000000000000e-03 2.200000000000000e-03 6.191950464396285e-01 1.300000000000000e-03 3.658879819870532e-01 3.100000000000000e-03 8.725021108922038e-01 8.199999999999999e-03 2.307908809456797e+00 5.999999999999999e-04 1.688713763017169e-01 8.000000000000000e-03 2.251618350689558e+00 3.400000000000000e-03 9.569377990430623e-01 - 11 EWK_RAP_ASY 2.150000000000000e+00 6.463838403999999e+03 1.960000000000000e+03 4.363000000000000e-01 8.300000000000000e-03 4.400000000000000e-03 1.008480403392161e+00 2.100000000000000e-03 4.813201925280770e-01 5.300000000000000e-03 1.214760485904194e+00 5.900000000000000e-03 1.352280540912216e+00 1.700000000000000e-03 3.896401558560624e-01 8.500000000000001e-03 1.948200779280312e+00 4.200000000000000e-03 9.626403850561539e-01 - 12 EWK_RAP_ASY 2.400000000000000e+00 6.463838403999999e+03 1.960000000000000e+03 5.374000000000000e-01 1.100000000000000e-02 4.500000000000001e-03 8.373650911797546e-01 1.900000000000000e-03 3.535541496092297e-01 6.200000000000000e-03 1.153703014514328e+00 4.000000000000000e-03 7.443245254931150e-01 2.700000000000000e-03 5.024190547078526e-01 8.600000000000000e-03 1.600297729810197e+00 5.000000000000000e-03 9.304056568663938e-01 - 13 EWK_RAP_ASY 2.630000000000000e+00 6.463838403999999e+03 1.960000000000000e+03 6.415000000000000e-01 2.300000000000000e-02 1.400000000000000e-03 2.182385035074046e-01 1.000000000000000e-03 1.558846453624318e-01 6.000000000000000e-03 9.353078721745909e-01 4.300000000000000e-03 6.703039750584567e-01 2.800000000000000e-03 4.364770070148091e-01 6.500000000000001e-03 1.013250194855807e+00 5.300000000000000e-03 8.261886204208886e-01 diff --git a/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPT.dat b/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPT.dat deleted file mode 100644 index b33f9c6e95..0000000000 --- a/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPT.dat +++ /dev/null @@ -1,9 +0,0 @@ -CMSTOPDIFF8TEVTPT 21 8 - 1 HQP_PTQ 2.625000000000000e+01 3.003289000000000e+04 8.000000000000000e+03 1.016784000000000e+00 5.382000000000000e-03 -9.154706433496012e-03 -9.003590175982324e-01 -7.184065040035575e-03 -7.065478056337998e-01 -4.481485443599576e-03 -4.407509799130963e-01 -1.562299070828601e-03 -1.536510282251295e-01 -5.667132825990169e-04 -5.573585762551505e-02 -3.475238495124369e-04 -3.417872916100537e-02 0.000000000000000e+00 0.000000000000000e+00 -1.147323690322392e-04 -1.128384878521291e-02 1.016784000000000e-03 1.000000000000000e-01 2.440281600000000e-02 2.400000000000000e+00 1.016784000000000e-03 1.000000000000000e-01 5.083920000000000e-03 5.000000000000000e-01 9.151055999999999e-03 9.000000000000000e-01 1.016784000000000e-03 1.000000000000000e-01 1.525176000000000e-02 1.500000000000000e+00 7.117487999999998e-03 7.000000000000000e-01 1.830211200000000e-02 1.800000000000000e+00 4.067136000000000e-03 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.549491719950899e-02 3.490900446850953e+00 2.691000000000000e-02 2.646579804560260e+00 - 2 HQP_PTQ 8.875000000000000e+01 3.003289000000000e+04 8.000000000000000e+03 1.643064000000000e+00 8.697000000000000e-03 2.064391418610412e-02 1.256427880234983e+00 7.079255845895987e-05 4.308569748893524e-03 -2.019228511783544e-03 -1.228940876182269e-01 -1.055244942053598e-03 -6.422421415438462e-02 -3.951921275393978e-04 -2.405214450194258e-02 -2.369949211002025e-04 -1.442396164119003e-02 0.000000000000000e+00 0.000000000000000e+00 -7.629689990050974e-05 -4.643574437788775e-03 1.643064000000000e-03 1.000000000000000e-01 3.286128000000000e-03 2.000000000000000e-01 3.286128000000000e-03 2.000000000000000e-01 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-1.644992160674795e-01 1.211584827191527e-04 3.794740751664767e-01 7.733549476246309e-04 2.422184125609593e+00 0.000000000000000e+00 0.000000000000000e+00 -4.014991575783615e-04 -1.257514274550118e+00 9.578399999999999e-05 3.000000000000000e-01 8.620560000000000e-04 2.700000000000000e+00 9.578399999999999e-05 3.000000000000000e-01 1.596400000000000e-04 5.000000000000000e-01 4.789200000000000e-04 1.500000000000000e+00 1.277120000000000e-04 4.000000000000000e-01 1.628328000000000e-03 5.100000000000000e+00 5.108479999999999e-04 1.600000000000000e+00 1.309048000000000e-03 4.100000000000000e+00 4.789200000000000e-04 1.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.078541477616766e-06 1.590623113761202e-02 8.449999999999999e-04 2.646579804560261e+00 - 8 HQP_PTQ 4.462500000000000e+02 3.003289000000000e+04 8.000000000000000e+03 9.087200000000000e-03 4.810000000000000e-05 1.440624132115096e-05 1.585333361338031e-01 9.217185655440296e-06 1.014304258235793e-01 -5.769910220803423e-06 -6.349491835552672e-02 8.077901614091735e-05 8.889318617496846e-01 -6.374709156252037e-05 -7.015042209098552e-01 3.028853843932723e-04 3.333099132772166e+00 0.000000000000000e+00 0.000000000000000e+00 3.885150867543438e-04 4.275410321709039e+00 2.726160000000000e-05 3.000000000000000e-01 3.816624000000000e-04 4.200000000000000e+00 6.361040000000000e-05 7.000000000000000e-01 8.178480000000000e-05 9.000000000000000e-01 1.544824000000000e-04 1.700000000000000e+00 6.361040000000000e-05 7.000000000000000e-01 6.270168000000000e-04 6.900000000000000e+00 2.453544000000000e-04 2.700000000000000e+00 2.817032000000000e-04 3.100000000000000e+00 1.090464000000000e-04 1.200000000000000e+00 2.726160000000000e-05 3.000000000000000e-01 5.885305520916448e-07 6.476478476226392e-03 2.405000000000000e-04 2.646579804560260e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTRAP.dat b/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTRAP.dat deleted file mode 100644 index 5487bccae5..0000000000 --- a/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTRAP.dat +++ /dev/null @@ -1,11 +0,0 @@ -CMSTOPDIFF8TEVTRAP 23 10 - 1 HQP_YQ -2.010000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 1.807616000000000e+01 9.568000000000000e-02 3.484689953916809e-03 1.927782202589936e-02 -6.427617344463740e-03 -3.555853314234738e-02 3.484797835661240e-02 1.927841884372146e-01 -3.126494111921088e-01 -1.729622946422851e+00 1.644220189139880e-02 9.096070122967934e-02 -8.181507710744351e-02 -4.526131496260463e-01 2.018722828937530e-01 1.116787431034872e+00 -5.892477960987492e-02 -3.259806264708596e-01 2.327598612071869e-01 1.287662098627070e+00 1.263734266970752e-02 6.991165529463957e-02 3.615231999999999e-02 2.000000000000000e-01 2.169139200000000e-01 1.200000000000000e+00 1.265331200000000e-01 7.000000000000000e-01 9.038079999999998e-02 5.000000000000000e-01 1.626854400000000e-01 9.000000000000000e-01 3.615231999999999e-02 2.000000000000000e-01 9.038079999999998e-02 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a/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTRAP.dat b/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTRAP.dat deleted file mode 100644 index faafeed035..0000000000 --- a/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTRAP.dat +++ /dev/null @@ -1,11 +0,0 @@ -CMSTOPDIFF8TEVTTRAP 23 10 - 1 HQP_YQQ -1.820000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 1.490792000000000e+01 7.891000000000001e-02 3.127240705434161e-03 2.097704244075740e-02 -3.787790730834832e-01 -2.540790888893174e+00 -4.695820050097532e-03 -3.149882780493544e-02 -4.309220661740915e-02 -2.890557946206389e-01 2.528332320413255e-01 1.695965849302421e+00 4.424030050445695e-02 2.967570291795029e-01 2.387503255319850e-01 1.601499911000227e+00 -2.573480457434734e-02 -1.726250514783239e-01 -4.813568953211308e-02 -3.228866906457312e-01 -3.765982254949696e-02 -2.526162103733919e-01 5.963167999999999e-02 4.000000000000000e-01 1.043554400000000e-01 7.000000000000000e-01 7.453960000000000e-02 5.000000000000000e-01 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1.048712000000000e+02 5.551000000000000e-01 7.742131883576937e-04 7.382514821587755e-04 -9.701524882037743e-03 -9.250895271569070e-03 -1.474856782310451e+00 -1.406350630402295e+00 2.239822894788458e-01 2.135784557427070e-01 -8.013916798110243e-02 -7.641675501100628e-02 -2.708564187908966e-02 -2.582753118023791e-02 -6.014802458086702e-01 -5.735418740404136e-01 -1.874473931122022e-01 -1.787405818873077e-01 -2.177841089306915e-02 -2.076681767069430e-02 -4.378688374127906e-01 -4.175301106622128e-01 2.097424000000000e-01 2.000000000000000e-01 7.340984000000000e-01 7.000000000000000e-01 2.097424000000000e-01 2.000000000000000e-01 4.194848000000000e-01 4.000000000000000e-01 8.389696000000001e-01 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 9.438407999999999e-01 9.000000000000000e-01 3.146136000000000e-01 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 6.292272000000000e-01 6.000000000000000e-01 1.048712000000000e-01 1.000000000000000e-01 1.006190590001755e-01 9.594536822328290e-02 2.775500000000000e+00 2.646579804560261e+00 - 6 HQP_YQQ 1.400000000000000e-01 3.003289000000000e+04 8.000000000000000e+03 1.014328000000000e+02 5.369000000000000e-01 7.742989619434810e-04 7.633615181119728e-04 -7.285454922033727e-04 -7.182543439630699e-04 7.239107935312024e-01 7.136851132288593e-01 1.067473273398542e+00 1.052394564084342e+00 -6.622668932124734e-02 -6.529119704991615e-02 1.208042158590904e-02 1.190977828267487e-02 -4.939245333410783e-01 -4.869475488609981e-01 3.115564958749139e-01 3.071555708556935e-01 -7.540253249293158e-01 -7.433742585527718e-01 -1.974631198843171e-01 -1.946738332021961e-01 2.028656000000000e-01 2.000000000000000e-01 8.114623999999999e-01 8.000000000000000e-01 4.057312000000000e-01 4.000000000000000e-01 2.028656000000000e-01 2.000000000000000e-01 8.114623999999999e-01 8.000000000000000e-01 1.014328000000000e-01 1.000000000000000e-01 8.114623999999999e-01 8.000000000000000e-01 8.114623999999999e-01 8.000000000000000e-01 8.114623999999999e-01 8.000000000000000e-01 3.042984000000000e-01 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.962543707621584e-02 3.906570367397513e-02 2.684500000000000e+00 2.646579804560261e+00 - 7 HQP_YQQ 4.700000000000000e-01 3.003289000000000e+04 8.000000000000000e+03 9.185440000000000e+01 4.862000000000000e-01 7.742952027339436e-04 8.429592950734463e-04 5.128569515190342e-03 5.583368369060537e-03 5.861682625330584e-01 6.381493565175522e-01 -7.565021077040508e-01 -8.235883177115639e-01 -1.386666625326870e-01 -1.509635494137320e-01 -1.570347810515457e-01 -1.709605430458918e-01 -3.220606735476553e-01 -3.506208451066637e-01 3.873689106829343e-01 4.217205824467138e-01 4.827278102989480e-01 5.255358592500173e-01 -9.786326490958899e-01 -1.065417278971818e+00 1.837088000000000e-01 2.000000000000000e-01 4.592720000000000e-01 5.000000000000000e-01 2.755632000000000e-01 3.000000000000000e-01 2.755632000000000e-01 3.000000000000000e-01 4.592720000000000e-01 5.000000000000000e-01 9.185440000000000e-02 1.000000000000000e-01 2.755632000000000e-01 3.000000000000000e-01 4.592720000000000e-01 5.000000000000000e-01 9.185440000000000e-01 1.000000000000000e+00 9.185440000000000e-01 1.000000000000000e+00 9.185440000000000e-02 1.000000000000000e-01 1.461057317406670e-02 1.590623113761202e-02 2.431000000000000e+00 2.646579804560261e+00 - 8 HQP_YQQ 7.600000000000000e-01 3.003289000000000e+04 8.000000000000000e+03 7.785520000000000e+01 4.121000000000000e-01 7.742793864251569e-04 9.945121024994565e-04 3.738644616879370e-02 4.802048696656576e-02 -4.667412422780583e-01 -5.994991243719858e-01 -9.855317434595916e-02 -1.265852176167541e-01 -2.700338301984893e-02 -3.468410975740725e-02 1.362225213638351e-02 1.749690725395800e-02 -7.022330873909888e-02 -9.019732624037814e-02 1.116537021845017e+00 1.434120035456870e+00 1.936587602443753e-01 2.487422294777681e-01 6.566290805389227e-01 8.433978469503934e-01 7.785520000000000e-02 1.000000000000000e-01 4.671312000000000e-01 6.000000000000000e-01 3.114208000000000e-01 4.000000000000000e-01 4.671312000000000e-01 6.000000000000000e-01 1.557104000000000e-01 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 4.671312000000000e-01 6.000000000000000e-01 1.012117600000000e+00 1.300000000000000e+00 7.785520000000000e-02 1.000000000000000e-01 2.335656000000000e-01 3.000000000000000e-01 7.785520000000000e-02 1.000000000000000e-01 5.042275270623010e-03 6.476478476226392e-03 2.060500000000000e+00 2.646579804560261e+00 - 9 HQP_YQQ 1.090000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 5.648800000000000e+01 2.990000000000000e-01 1.029843641083316e-03 1.823119319294923e-03 -5.778318775710458e-03 -1.022928546896767e-02 -5.459192437926935e-02 -9.664340103963559e-02 1.326873096798044e-01 2.348946850301027e-01 -4.553032694099109e-01 -8.060176841274447e-01 -7.934158150701729e-01 -1.404574095507316e+00 2.722939943545667e-01 4.820386530848441e-01 -1.209429729446173e-01 -2.141038325743827e-01 -1.035249741872522e-01 -1.832689671917083e-01 2.120979835150856e-01 3.754744078655389e-01 1.129760000000000e-01 2.000000000000000e-01 2.259520000000000e-01 4.000000000000000e-01 2.259520000000000e-01 4.000000000000000e-01 1.694640000000000e-01 3.000000000000000e-01 3.389280000000000e-01 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 4.519040000000000e-01 8.000000000000000e-01 3.954159999999999e-01 7.000000000000000e-01 9.602960000000000e-01 1.700000000000000e+00 1.129760000000000e-01 2.000000000000000e-01 5.648800000000000e-02 1.000000000000000e-01 1.489590049532071e-03 2.637002636899997e-03 1.495000000000000e+00 2.646579804560261e+00 - 10 HQP_YQQ 1.820000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 1.574296000000000e+01 8.333000000000002e-02 3.126847190834480e-03 1.986187598033966e-02 3.800453849169520e-01 2.414065619914882e+00 3.309317036278109e-02 2.102093276155252e-01 6.708710659431702e-03 4.261403611158068e-02 2.457319690392155e-01 1.560900675852670e+00 3.041555406260308e-02 1.932009867433004e-01 1.867435169575082e-01 1.186203337603019e+00 -1.764694887919022e-01 -1.120942242068215e+00 -5.929379026374529e-03 -3.766368603092765e-02 -4.395226221710043e-02 -2.791867743874114e-01 6.297184000000000e-02 4.000000000000000e-01 1.889155200000000e-01 1.200000000000000e+00 1.259436800000000e-01 8.000000000000000e-01 6.297184000000000e-02 4.000000000000000e-01 2.204014400000000e-01 1.400000000000000e+00 1.574296000000000e-02 1.000000000000000e-01 3.306021600000000e-01 2.100000000000000e+00 1.731725600000000e-01 1.100000000000000e+00 2.361444000000000e-01 1.500000000000000e+00 2.046584800000000e-01 1.300000000000000e+00 1.259436800000000e-01 8.000000000000000e-01 1.690318690252899e-04 1.073698142060260e-03 4.166500000000000e-01 2.646579804560261e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT13TEV.dat b/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT13TEV.dat deleted file mode 100644 index 0b498b0711..0000000000 --- a/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT13TEV.dat +++ /dev/null @@ -1,2 +0,0 @@ -CMSTTBARTOT13TEV 2 1 - 1 INC 0.000000000000000e+00 3.003289000000000e+04 1.300000000000000e+04 7.920000000000000e+02 8.000000000000000e+00 3.700000000000001e+01 4.671717171717172e+00 2.100000000000000e+01 2.651515151515151e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT7TEV.dat b/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT7TEV.dat deleted file mode 100644 index 577ff17c2e..0000000000 --- a/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT7TEV.dat +++ /dev/null @@ -1,2 +0,0 @@ -CMSTTBARTOT7TEV 2 1 - 1 INC 0.000000000000000e+00 3.003289000000000e+04 7.000000000000000e+03 1.738500000000000e+02 2.100000000000000e+00 4.250000000000000e+00 2.448156682027650e+00 3.800000000000000e+00 2.188940092165899e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT8TEV.dat b/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT8TEV.dat deleted file mode 100644 index 432f24a6d6..0000000000 --- a/nnpdfcpp/data/commondata/DATA_CMSTTBARTOT8TEV.dat +++ /dev/null @@ -1,2 +0,0 @@ -CMSTTBARTOT8TEV 2 1 - 1 INC 0.000000000000000e+00 3.003289000000000e+04 8.000000000000000e+03 2.453000000000000e+02 1.400000000000000e+00 5.899999999999999e+00 2.409146590445079e+00 6.400000000000000e+00 2.613311555737035e+00 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTPTNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTPTNORM.yaml new file mode 100644 index 0000000000..5cd332f46e --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTPTNORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS $t\\bar{t}$ rapidity $p^T_t$" +x: k1 +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dp^T_t$ (fb/GeV)' +figure_by: + - k2 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml new file mode 100644 index 0000000000..abeb22a12b --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS $t\\bar{t}$ rapidity $m_{t\bar{t}}$" +x: k1 +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dm_{t\bar{t}}$ (fb/GeV)' +figure_by: + - k2 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml new file mode 100644 index 0000000000..6c48de27e6 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS $t\\bar{t}$ rapidity $y_{t\bar{t}}$" +x: k1 +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_{t\bar{t}}$ (fb)' +figure_by: + - k2 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTPTNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTPTNORM.yaml new file mode 100644 index 0000000000..9917333e80 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTPTNORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "CMS $t\\bar{t}$ rapidity $p^T_t$" +x: k1 +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dp^T_t$ (fb/GeV)' +figure_by: + - k2 + +experiment: "CMS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTRAPNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTRAPNORM.yaml new file mode 100644 index 0000000000..45cfcb1642 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTRAPNORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "CMS $t\\bar{t}$ rapidity $y_t$" +x: k1 +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_t$ (fb)' +figure_by: + - k2 + +experiment: "CMS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTMNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTMNORM.yaml new file mode 100644 index 0000000000..dedfcb203f --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTMNORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "CMS $t\\bar{t}$ rapidity $m_{t\bar{t}}$" +x: k1 +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dm_{t\bar{t}}$ (fb/GeV)' +figure_by: + - k2 + +experiment: "CMS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml index 155141a307..907f9cf11b 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml @@ -1,8 +1,7 @@ -dataset_label: "CMS $t\\bar{t}$ rapidity $y_{t\\bar{t}}$" +dataset_label: "CMS $t\\bar{t}$ rapidity $y_{t\bar{t}}$" x: k1 y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_{t\bar{t}}$ (fb)' figure_by: - k2 -kinematics_override: hqp_yqq_sqrt_scale -experiment: "CMS" +experiment: "CMS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASLOMASSDY11_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASLOMASSDY11_DEFAULT.dat deleted file mode 100644 index c2efc315b5..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASLOMASSDY11_DEFAULT.dat +++ /dev/null @@ -1,16 +0,0 @@ -15 -1 MULT UNCORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT ATLASLUMI11 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR06JETS36PB_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR06JETS36PB_DEFAULT.dat deleted file mode 100644 index 3df2200260..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR06JETS36PB_DEFAULT.dat +++ /dev/null @@ -1,92 +0,0 @@ -91 -1 MULT ATLASLUMI10 -2 MULT CORR -3 MULT UNCORR -4 MULT UNCORR -5 MULT UNCORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR -57 MULT CORR -58 MULT CORR -59 MULT CORR -60 MULT CORR -61 MULT CORR -62 MULT CORR -63 MULT CORR -64 MULT CORR -65 MULT CORR -66 MULT CORR -67 MULT CORR -68 MULT CORR -69 MULT CORR -70 MULT CORR -71 MULT CORR -72 MULT CORR -73 MULT CORR -74 MULT CORR -75 MULT CORR -76 MULT CORR -77 MULT CORR -78 MULT CORR -79 MULT CORR -80 MULT CORR -81 MULT CORR -82 MULT CORR -83 MULT CORR -84 MULT CORR -85 MULT CORR -86 MULT CORR -87 MULT CORR -88 MULT CORR -89 MULT CORR -90 MULT CORR -91 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPT_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPT_DEFAULT.dat deleted file mode 100644 index ff2ac3422d..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPT_DEFAULT.dat +++ /dev/null @@ -1,66 +0,0 @@ -65 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR -57 MULT CORR -58 MULT CORR -59 MULT CORR -60 MULT CORR -61 MULT CORR -62 MULT CORR -63 MULT CORR -64 MULT CORR -65 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_DEFAULT.dat deleted file mode 100644 index b4d05f6ebd..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_DEFAULT.dat +++ /dev/null @@ -1,58 +0,0 @@ -57 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 ADD CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR -57 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTM_DEFAULT.dat deleted file mode 100644 index bf1b3f391b..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTM_DEFAULT.dat +++ /dev/null @@ -1,65 +0,0 @@ -64 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR -57 MULT CORR -58 MULT CORR -59 MULT CORR -60 MULT CORR -61 MULT CORR -62 MULT CORR -63 MULT CORR -64 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_DEFAULT.dat deleted file mode 100644 index c846c70374..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_DEFAULT.dat +++ /dev/null @@ -1,58 +0,0 @@ -57 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR -57 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTTBARTOT13TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTTBARTOT13TEV_DEFAULT.dat deleted file mode 100644 index 1a50e10df2..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTTBARTOT13TEV_DEFAULT.dat +++ /dev/null @@ -1,4 +0,0 @@ -3 -1 MULT UNCORR -2 MULT ATLASLUMI13 -3 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTTBARTOT7TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTTBARTOT7TEV_DEFAULT.dat deleted file mode 100644 index 23df44571f..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTTBARTOT7TEV_DEFAULT.dat +++ /dev/null @@ -1,4 +0,0 @@ -3 -1 MULT UNCORR -2 MULT ATLASLUMI11 -3 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTTBARTOT8TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTTBARTOT8TEV_DEFAULT.dat deleted file mode 100644 index 6daf0f111b..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTTBARTOT8TEV_DEFAULT.dat +++ /dev/null @@ -1,4 +0,0 @@ -3 -1 MULT UNCORR -2 MULT ATLASLUMI12 -3 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFWASYM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFWASYM_DEFAULT.dat deleted file mode 100644 index 3b539618e4..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CDFWASYM_DEFAULT.dat +++ /dev/null @@ -1,8 +0,0 @@ -7 -1 ADD CORR -2 ADD CORR -3 ADD CORR -4 ADD CORR -5 ADD CORR -6 ADD CORR -7 ADD CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_DEFAULT.dat deleted file mode 100644 index 745d01fcd3..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_DEFAULT.dat +++ /dev/null @@ -1,22 +0,0 @@ -21 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_DEFAULT.dat deleted file mode 100644 index 19ad7c70d6..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_DEFAULT.dat +++ /dev/null @@ -1,24 +0,0 @@ -23 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_DEFAULT.dat deleted file mode 100644 index ef871341e3..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_DEFAULT.dat +++ /dev/null @@ -1,21 +0,0 @@ -20 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPTNORM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPTNORM_DEFAULT.dat deleted file mode 100644 index 6ad714f524..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPTNORM_DEFAULT.dat +++ /dev/null @@ -1,18 +0,0 @@ -17 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_DEFAULT.dat deleted file mode 100644 index 4a7a136ee2..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_DEFAULT.dat +++ /dev/null @@ -1,20 +0,0 @@ -19 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_DEFAULT.dat deleted file mode 100644 index 19ad7c70d6..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_DEFAULT.dat +++ /dev/null @@ -1,24 +0,0 @@ -23 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT13TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT13TEV_DEFAULT.dat deleted file mode 100644 index 3e344ce787..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT13TEV_DEFAULT.dat +++ /dev/null @@ -1,3 +0,0 @@ -2 -1 MULT UNCORR -2 MULT CMSLUMI13 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT7TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT7TEV_DEFAULT.dat deleted file mode 100644 index 2c8b8f755b..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT7TEV_DEFAULT.dat +++ /dev/null @@ -1,3 +0,0 @@ -2 -1 MULT UNCORR -2 MULT CMSLUMI11 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT8TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT8TEV_DEFAULT.dat deleted file mode 100644 index 1342175849..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTTBARTOT8TEV_DEFAULT.dat +++ /dev/null @@ -1,3 +0,0 @@ -2 -1 MULT UNCORR -2 MULT CMSLUMI12 From bb869d3f803aa76a14ed79d4687fc41b39046407 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Tue, 9 Apr 2019 16:21:13 +0200 Subject: [PATCH 227/429] More cleanup --- nnpdfcpp/data/commondata/DATA_DYE866P.dat | 185 ------------------ nnpdfcpp/data/commondata/DATA_FCC.dat | 108 ---------- nnpdfcpp/data/commondata/DATA_FCCCC.dat | 61 ------ nnpdfcpp/data/commondata/DATA_LHeC.dat | 158 --------------- nnpdfcpp/data/commondata/DATA_LHeC160CCEM.dat | 94 --------- nnpdfcpp/data/commondata/DATA_LHeC160NCEM.dat | 137 ------------- nnpdfcpp/data/commondata/DATA_LHeC760CCEM.dat | 115 ----------- nnpdfcpp/data/commondata/DATA_LHeC760NCEM.dat | 160 --------------- nnpdfcpp/data/commondata/DATA_LHeCCC.dat | 110 ----------- nnpdfcpp/data/commondata/DATA_TTBARTOT.dat | 7 - nnpdfcpp/data/commondata/DATA_Z06CC.dat | 38 ---- nnpdfcpp/data/commondata/DATA_Z06NC.dat | 91 --------- .../systypes/SYSTYPE_DYE866P_DEFAULT.dat | 3 - .../systypes/SYSTYPE_FCCCC_DEFAULT.dat | 2 - .../systypes/SYSTYPE_FCC_DEFAULT.dat | 2 - .../systypes/SYSTYPE_LHeC160CCEM_DEFAULT.dat | 2 - .../systypes/SYSTYPE_LHeC160NCEM_DEFAULT.dat | 2 - .../systypes/SYSTYPE_LHeC760CCEM_DEFAULT.dat | 2 - .../systypes/SYSTYPE_LHeC760NCEM_DEFAULT.dat | 2 - .../systypes/SYSTYPE_LHeCCC_DEFAULT.dat | 2 - .../systypes/SYSTYPE_LHeC_DEFAULT.dat | 2 - .../systypes/SYSTYPE_TTBARTOT_DEFAULT.dat | 4 - .../systypes/SYSTYPE_Z06CC_DEFAULT.dat | 3 - .../systypes/SYSTYPE_Z06NC_DEFAULT.dat | 11 -- 24 files changed, 1301 deletions(-) delete mode 100644 nnpdfcpp/data/commondata/DATA_DYE866P.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_FCC.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_FCCCC.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_LHeC.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_LHeC160CCEM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_LHeC160NCEM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_LHeC760CCEM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_LHeC760NCEM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_LHeCCC.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_TTBARTOT.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_Z06CC.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_Z06NC.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_DYE866P_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_FCCCC_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_FCC_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC160CCEM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC160NCEM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC760CCEM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC760NCEM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeCCC_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_TTBARTOT_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_Z06CC_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_Z06NC_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_DYE866P.dat b/nnpdfcpp/data/commondata/DATA_DYE866P.dat deleted file mode 100644 index e7d3860b67..0000000000 --- a/nnpdfcpp/data/commondata/DATA_DYE866P.dat +++ /dev/null @@ -1,185 +0,0 @@ -DYE866P 2 184 - 1 DYP_E866P 0.000000000000000e+00 1.980250000000000e+01 3.880000000000000e+01 7.920000000000000e+01 5.599999999999999e+01 1.060000000000000e+01 1.338383838383838e+01 5.148000000000001e+00 6.500000000000000e+00 - 2 DYP_E866P 0.000000000000000e+00 2.450250000000000e+01 3.880000000000000e+01 1.230000000000000e+01 6.750000000000000e+00 1.110000000000000e+00 9.024390243902440e+00 7.995000000000001e-01 6.500000000000000e+00 - 3 DYP_E866P 0.000000000000000e+00 2.970250000000000e+01 3.880000000000000e+01 3.010000000000000e+01 1.810000000000000e+01 3.839999999999999e+00 1.275747508305648e+01 1.956500000000000e+00 6.500000000000000e+00 - 4 DYP_E866P 0.000000000000000e+00 3.540250000000000e+01 3.880000000000000e+01 4.020000000000000e+01 1.470000000000000e+01 3.060000000000000e+00 7.611940298507462e+00 2.613000000000000e+00 6.500000000000000e+00 - 5 DYP_E866P 0.000000000000000e+00 4.160250000000000e+01 3.880000000000000e+01 1.080000000000000e+01 3.520000000000000e+00 5.380000000000000e-01 4.981481481481482e+00 7.020000000000001e-01 6.500000000000000e+00 - 6 DYP_E866P 0.000000000000000e+00 4.830250000000000e+01 3.880000000000000e+01 7.460000000000000e+00 2.070000000000000e+00 2.780000000000000e-01 3.726541554959786e+00 4.849000000000001e-01 6.500000000000000e+00 - 7 DYP_E866P 0.000000000000000e+00 5.550250000000000e+01 3.880000000000000e+01 6.170000000000000e+00 2.560000000000000e+00 4.240000000000000e-01 6.871961102106969e+00 4.010500000000000e-01 6.500000000000000e+00 - 8 DYP_E866P 0.000000000000000e+00 6.320249999999999e+01 3.880000000000000e+01 5.500000000000000e+00 9.030000000000000e-01 1.910000000000000e-01 3.472727272727273e+00 3.575000000000000e-01 6.500000000000000e+00 - 9 DYP_E866P 0.000000000000000e+00 7.140249999999999e+01 3.880000000000000e+01 3.700000000000000e+00 4.690000000000000e-01 1.070000000000000e-01 2.891891891891892e+00 2.405000000000000e-01 6.500000000000000e+00 - 10 DYP_E866P 0.000000000000000e+00 1.288225000000000e+02 3.880000000000000e+01 8.020000000000000e+00 8.020000000000000e+00 8.850000000000000e-01 1.103491271820449e+01 5.213000000000000e-01 6.500000000000000e+00 - 11 DYP_E866P 3.168504080556726e-01 1.980250000000000e+01 3.880000000000000e+01 2.670000000000000e+01 2.760000000000000e+00 7.730000000000000e-01 2.895131086142322e+00 1.735500000000000e+00 6.500000000000000e+00 - 12 DYP_E866P 2.865954452019480e-01 2.450250000000000e+01 3.880000000000000e+01 1.540000000000000e+01 2.280000000000000e+00 7.090000000000001e-01 4.603896103896104e+00 1.001000000000000e+00 6.500000000000000e+00 - 13 DYP_E866P 2.607448076421367e-01 2.970250000000000e+01 3.880000000000000e+01 1.060000000000000e+01 2.830000000000000e+00 1.030000000000000e+00 9.716981132075473e+00 6.889999999999999e-01 6.500000000000000e+00 - 14 DYP_E866P 2.392530096181323e-01 3.540250000000000e+01 3.880000000000000e+01 1.240000000000000e+01 2.590000000000000e+00 7.740000000000000e-01 6.241935483870968e+00 8.060000000000000e-01 6.500000000000000e+00 - 15 DYP_E866P 2.212132280466014e-01 4.160250000000000e+01 3.880000000000000e+01 6.370000000000000e+00 1.820000000000000e+00 4.820000000000000e-01 7.566718995290423e+00 4.140500000000000e-01 6.500000000000000e+00 - 16 DYP_E866P 2.063014152617264e-01 4.830250000000000e+01 3.880000000000000e+01 6.130000000000000e+00 2.080000000000000e+00 2.290000000000000e-01 3.735725938009788e+00 3.984500000000000e-01 6.500000000000000e+00 - 17 DYP_E866P 1.924438550922313e-01 5.550250000000000e+01 3.880000000000000e+01 6.600000000000000e+00 1.950000000000000e+00 4.680000000000000e-01 7.090909090909092e+00 4.290000000000000e-01 6.500000000000000e+00 - 18 DYP_E866P 1.804910869532276e-01 6.320249999999999e+01 3.880000000000000e+01 4.170000000000000e+00 5.430000000000000e-01 2.230000000000000e-01 5.347721822541967e+00 2.710500000000000e-01 6.500000000000000e+00 - 19 DYP_E866P 1.701027267162374e-01 7.140249999999999e+01 3.880000000000000e+01 3.710000000000000e+00 4.830000000000000e-01 1.750000000000000e-01 4.716981132075471e+00 2.411500000000000e-01 6.500000000000000e+00 - 20 DYP_E866P 1.271975626255146e-01 1.288225000000000e+02 3.880000000000000e+01 3.460000000000000e+00 1.510000000000000e+00 7.660000000000000e-02 2.213872832369942e+00 2.249000000000000e-01 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1.336451222854431e+00 7.140249999999999e+01 3.880000000000000e+01 7.310000000000000e-02 2.440000000000000e-02 6.200000000000000e-03 8.481532147742818e+00 4.751500000000000e-03 6.500000000000000e+00 - 184 DYP_E866P 1.086321101591990e+00 1.288225000000000e+02 3.880000000000000e+01 6.650000000000000e-02 4.969999999999999e-02 5.740000000000001e-03 8.631578947368421e+00 4.322500000000000e-03 6.500000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_FCC.dat b/nnpdfcpp/data/commondata/DATA_FCC.dat deleted file mode 100644 index b701ebb81c..0000000000 --- a/nnpdfcpp/data/commondata/DATA_FCC.dat +++ /dev/null @@ -1,108 +0,0 @@ -FCC 1 107 - 1 DIS_NCP 2.000000000000e-07 2.000000000000e+00 8.333000000000e-01 3.686846137593e+00 3.658800000000e-03 4.646676000000e-02 1.270000000000e+00 - 2 DIS_NCP 5.000000000000e-07 2.000000000000e+00 3.333000000000e-01 3.647566262739e+00 3.658800000000e-03 2.927040000000e-02 8.000000000000e-01 - 3 DIS_NCP 8.500000000000e-07 2.000000000000e+00 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2.044000000000e+01 - 105 DIS_NCP 8.000000100000e-01 2.000000000000e+06 2.083000000000e-01 7.861990000438e-04 3.198926900000e-04 3.235562655000e-04 3.621000000000e+01 - 106 DIS_NCP 4.000000100000e-01 3.000000000000e+06 6.250000000000e-01 3.625571572122e-02 7.933656720000e-03 7.981106820000e-03 1.682000000000e+01 - 107 DIS_NCP 6.000000200000e-01 3.000000000000e+06 4.167000000000e-01 1.745705764960e-02 5.202339100000e-03 5.214042900000e-03 4.455000000000e+01 diff --git a/nnpdfcpp/data/commondata/DATA_FCCCC.dat b/nnpdfcpp/data/commondata/DATA_FCCCC.dat deleted file mode 100644 index e2006b3c4b..0000000000 --- a/nnpdfcpp/data/commondata/DATA_FCCCC.dat +++ /dev/null @@ -1,61 +0,0 @@ -FCCCC 1 60 - 1 DIS_CCP 2.000000000000e-05 1.000000000000e+02 4.166700000000e-01 6.917488677770e+00 1.146145100000e-02 1.395600210000e-01 2.070000000000e+00 - 2 DIS_CCP 5.000000000000e-05 1.000000000000e+02 1.666700000000e-01 6.675724034395e+00 1.247061200000e-02 1.358640360000e-01 2.070000000000e+00 - 3 DIS_CCP 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8.500000000000e-03 2.000000000000e+01 1.400000000000e-03 6.237095326726e-01 6.420500000000e-04 1.495976500000e-02 2.330000000000e+00 - 37 DIS_NCP 5.000000000000e-05 5.000000000000e+01 5.952000000000e-01 3.096271728463e+00 3.058590000000e-03 3.884409300000e-02 1.270000000000e+00 - 38 DIS_NCP 8.500000000000e-05 5.000000000000e+01 3.501000000000e-01 2.797847717400e+00 2.788890000000e-03 2.203223100000e-02 7.900000000000e-01 - 39 DIS_NCP 2.000000000000e-04 5.000000000000e+01 1.488000000000e-01 2.228946662219e+00 2.245540000000e-03 1.796432000000e-02 8.000000000000e-01 - 40 DIS_NCP 5.000000000000e-04 5.000000000000e+01 5.950000000000e-02 1.747527364730e+00 1.744410000000e-03 1.412972100000e-02 8.100000000000e-01 - 41 DIS_NCP 8.500000000000e-04 5.000000000000e+01 3.500000000000e-02 1.498666557393e+00 1.500460000000e-03 1.215372600000e-02 8.100000000000e-01 - 42 DIS_NCP 2.000000000000e-03 5.000000000000e+01 1.490000000000e-02 1.170689269217e+00 1.167440000000e-03 9.456264000000e-03 8.100000000000e-01 - 43 DIS_NCP 5.000000000000e-03 5.000000000000e+01 6.000000000000e-03 8.821047488487e-01 8.852590000000e-04 1.681992100000e-02 1.900000000000e+00 - 44 DIS_NCP 8.500000000000e-03 5.000000000000e+01 3.500000000000e-03 7.559865399135e-01 7.536650000000e-04 1.545013250000e-02 2.050000000000e+00 - 45 DIS_NCP 2.000000000000e-02 5.000000000000e+01 1.500000000000e-03 5.999828885253e-01 5.854960000000e-04 1.346640800000e-02 2.300000000000e+00 - 46 DIS_NCP 8.500000000000e-05 1.000000000000e+02 7.003000000000e-01 3.167597359010e+00 3.172650000000e-03 4.029265500000e-02 1.270000000000e+00 - 47 DIS_NCP 2.000000000000e-04 1.000000000000e+02 2.976000000000e-01 2.702293233962e+00 2.704820000000e-03 2.109759600000e-02 7.800000000000e-01 - 48 DIS_NCP 5.000000000000e-04 1.000000000000e+02 1.190000000000e-01 2.086026518628e+00 2.077540000000e-03 1.641256600000e-02 7.900000000000e-01 - 49 DIS_NCP 8.500000000000e-04 1.000000000000e+02 7.000000000000e-02 1.768617658959e+00 1.766460000000e-03 1.413168000000e-02 8.000000000000e-01 - 50 DIS_NCP 2.000000000000e-03 1.000000000000e+02 2.980000000000e-02 1.328945241423e+00 1.346120000000e-03 1.090357200000e-02 8.100000000000e-01 - 51 DIS_NCP 5.000000000000e-03 1.000000000000e+02 1.190000000000e-02 9.963330383286e-01 9.955000000000e-04 8.063550000000e-03 8.100000000000e-01 - 52 DIS_NCP 8.500000000000e-03 1.000000000000e+02 7.000000000000e-03 8.465729234653e-01 8.339180000000e-04 1.542748300000e-02 1.850000000000e+00 - 53 DIS_NCP 2.000000000000e-02 1.000000000000e+02 3.000000000000e-03 6.135359402670e-01 6.292340000000e-04 1.315099060000e-02 2.090000000000e+00 - 54 DIS_NCP 5.000000000000e-02 1.000000000000e+02 1.200000000000e-03 4.813091236268e-01 4.762460000000e-04 1.123940560000e-02 2.360000000000e+00 - 55 DIS_NCP 2.000000000000e-04 2.000000000000e+02 5.952000000000e-01 3.027106643824e+00 3.049730000000e-03 3.873157100000e-02 1.270000000000e+00 - 56 DIS_NCP 5.000000000000e-04 2.000000000000e+02 2.381000000000e-01 2.401915565326e+00 2.407840000000e-03 1.902193600000e-02 7.900000000000e-01 - 57 DIS_NCP 8.500000000000e-04 2.000000000000e+02 1.401000000000e-01 1.985712977310e+00 2.032310000000e-03 1.605524900000e-02 7.900000000000e-01 - 58 DIS_NCP 2.000000000000e-03 2.000000000000e+02 5.950000000000e-02 1.530500774203e+00 1.521890000000e-03 1.217512000000e-02 8.000000000000e-01 - 59 DIS_NCP 5.000000000000e-03 2.000000000000e+02 2.380000000000e-02 1.098832833718e+00 1.100860000000e-03 8.916966000000e-03 8.100000000000e-01 - 60 DIS_NCP 8.500000000000e-03 2.000000000000e+02 1.400000000000e-02 9.168617123181e-01 9.090970000000e-04 7.363685700000e-03 8.100000000000e-01 - 61 DIS_NCP 2.000000000000e-02 2.000000000000e+02 6.000000000000e-03 6.784875735785e-01 6.690040000000e-04 1.264417560000e-02 1.890000000000e+00 - 62 DIS_NCP 5.000000000000e-02 2.000000000000e+02 2.400000000000e-03 5.225747520310e-01 4.907460000000e-04 1.060011360000e-02 2.160000000000e+00 - 63 DIS_NCP 8.500000000000e-02 2.000000000000e+02 1.400000000000e-03 4.059400344173e-01 4.144660000000e-04 9.574164600000e-03 2.310000000000e+00 - 64 DIS_NCP 5.000000000000e-04 5.000000000000e+02 5.952000000000e-01 2.789911737391e+00 2.731120000000e-03 3.468522400000e-02 1.270000000000e+00 - 65 DIS_NCP 8.500000000000e-04 5.000000000000e+02 3.501000000000e-01 2.348521798168e+00 2.358750000000e-03 1.839825000000e-02 7.800000000000e-01 - 66 DIS_NCP 2.000000000000e-03 5.000000000000e+02 1.488000000000e-01 1.732277949529e+00 1.747320000000e-03 1.380382800000e-02 7.900000000000e-01 - 67 DIS_NCP 5.000000000000e-03 5.000000000000e+02 5.950000000000e-02 1.228184488859e+00 1.233880000000e-03 9.871040000000e-03 8.000000000000e-01 - 68 DIS_NCP 8.500000000000e-03 5.000000000000e+02 3.500000000000e-02 9.978725802145e-01 1.002580000000e-03 8.020640000000e-03 8.000000000000e-01 - 69 DIS_NCP 2.000000000000e-02 5.000000000000e+02 1.490000000000e-02 7.186825855472e-01 7.163860000000e-04 5.731088000000e-03 8.000000000000e-01 - 70 DIS_NCP 5.000000000000e-02 5.000000000000e+02 6.000000000000e-03 5.083817672740e-01 5.072220000000e-04 9.586495800000e-03 1.890000000000e+00 - 71 DIS_NCP 8.500000000000e-02 5.000000000000e+02 3.500000000000e-03 4.341315152171e-01 4.192970000000e-04 8.595588500000e-03 2.050000000000e+00 - 72 DIS_NCP 2.000000000000e-01 5.000000000000e+02 1.500000000000e-03 2.975079922990e-01 2.957870000000e-04 6.832679700000e-03 2.310000000000e+00 - 73 DIS_NCP 8.500000000000e-04 1.000000000000e+03 7.003000000000e-01 2.444757464030e+00 2.478170000000e-03 3.147275900000e-02 1.270000000000e+00 - 74 DIS_NCP 2.000000000000e-03 1.000000000000e+03 2.976000000000e-01 1.886738901996e+00 1.907870000000e-03 1.488138600000e-02 7.800000000000e-01 - 75 DIS_NCP 5.000000000000e-03 1.000000000000e+03 1.190000000000e-01 1.319453247517e+00 1.332540000000e-03 1.066032000000e-02 8.000000000000e-01 - 76 DIS_NCP 8.500000000000e-03 1.000000000000e+03 7.000000000000e-02 1.057209172889e+00 1.071680000000e-03 8.573440000000e-03 8.000000000000e-01 - 77 DIS_NCP 2.000000000000e-02 1.000000000000e+03 2.980000000000e-02 7.569980601789e-01 7.512240000000e-04 6.009792000000e-03 8.000000000000e-01 - 78 DIS_NCP 5.000000000000e-02 1.000000000000e+03 1.190000000000e-02 5.196913776746e-01 5.195970000000e-04 4.156776000000e-03 8.000000000000e-01 - 79 DIS_NCP 8.500000000000e-02 1.000000000000e+03 7.000000000000e-03 4.336670236040e-01 4.234550000000e-04 7.833917500000e-03 1.850000000000e+00 - 80 DIS_NCP 2.000000000000e-01 1.000000000000e+03 3.000000000000e-03 3.079892979383e-01 2.905420000000e-04 6.130436200000e-03 2.110000000000e+00 - 81 DIS_NCP 3.000000100000e-01 1.000000000000e+03 2.000000000000e-03 2.015572265830e-01 2.026050000000e-04 4.639654500000e-03 2.290000000000e+00 - 82 DIS_NCP 4.000000100000e-01 1.000000000000e+03 1.500000000000e-03 1.277918617436e-01 1.529004000000e-04 3.223650100000e-03 2.530000000000e+00 - 83 DIS_NCP 5.000000000000e-01 1.000000000000e+03 1.200000000000e-03 7.031180243027e-02 1.938510000000e-04 2.028512250000e-03 2.930000000000e+00 - 84 DIS_NCP 2.000000000000e-03 2.000000000000e+03 5.952000000000e-01 2.030967344547e+00 2.027350000000e-03 2.574734500000e-02 1.270000000000e+00 - 85 DIS_NCP 5.000000000000e-03 2.000000000000e+03 2.381000000000e-01 1.439348723835e+00 1.438800000000e-03 1.136652000000e-02 7.900000000000e-01 - 86 DIS_NCP 8.500000000000e-03 2.000000000000e+03 1.401000000000e-01 1.138369097726e+00 1.148730000000e-03 9.189840000000e-03 8.000000000000e-01 - 87 DIS_NCP 2.000000000000e-02 2.000000000000e+03 5.950000000000e-02 7.949000620443e-01 7.919300000000e-04 6.335440000000e-03 8.000000000000e-01 - 88 DIS_NCP 5.000000000000e-02 2.000000000000e+03 2.380000000000e-02 5.281021912835e-01 5.361020000000e-04 4.288816000000e-03 8.000000000000e-01 - 89 DIS_NCP 8.500000000000e-02 2.000000000000e+03 1.400000000000e-02 4.323268993288e-01 4.312070000000e-04 3.492776700000e-03 8.100000000000e-01 - 90 DIS_NCP 2.000000000000e-01 2.000000000000e+03 6.000000000000e-03 2.845007386508e-01 2.881390000000e-04 5.532268800000e-03 1.920000000000e+00 - 91 DIS_NCP 3.000000100000e-01 2.000000000000e+03 4.000000000000e-03 1.958208477222e-01 2.367960000000e-04 4.143930000000e-03 2.100000000000e+00 - 92 DIS_NCP 4.000000100000e-01 2.000000000000e+03 3.000000000000e-03 1.225113843260e-01 2.194740000000e-04 2.877548000000e-03 2.360000000000e+00 - 93 DIS_NCP 5.000000000000e-01 2.000000000000e+03 2.400000000000e-03 6.586658230127e-02 1.757281500000e-04 1.809349100000e-03 2.780000000000e+00 - 94 DIS_NCP 6.000000200000e-01 2.000000000000e+03 2.000000000000e-03 2.721582148154e-02 1.245602500000e-04 1.019656000000e-03 3.520000000000e+00 - 95 DIS_NCP 6.999999900000e-01 2.000000000000e+03 1.700000000000e-03 9.901066372003e-03 1.194544670000e-04 4.936135000000e-04 5.000000000000e+00 - 96 DIS_NCP 5.000000000000e-03 5.000000000000e+03 5.952000000000e-01 1.615920268019e+00 1.589570000000e-03 2.018753900000e-02 1.270000000000e+00 - 97 DIS_NCP 8.500000000000e-03 5.000000000000e+03 3.501000000000e-01 1.285354915559e+00 1.284480000000e-03 1.014739200000e-02 7.900000000000e-01 - 98 DIS_NCP 2.000000000000e-02 5.000000000000e+03 1.488000000000e-01 8.699489507233e-01 8.736110000000e-04 6.988888000000e-03 8.000000000000e-01 - 99 DIS_NCP 5.000000000000e-02 5.000000000000e+03 5.950000000000e-02 5.701383376038e-01 5.761620000000e-04 4.609296000000e-03 8.000000000000e-01 - 100 DIS_NCP 8.500000000000e-02 5.000000000000e+03 3.500000000000e-02 4.640837226924e-01 4.557380000000e-04 3.691477800000e-03 8.100000000000e-01 - 101 DIS_NCP 2.000000000000e-01 5.000000000000e+03 1.490000000000e-02 2.946443750054e-01 3.234297000000e-04 2.558034900000e-03 8.700000000000e-01 - 102 DIS_NCP 3.000000100000e-01 5.000000000000e+03 9.900000000000e-03 1.967312730298e-01 3.341996000000e-04 3.676195600000e-03 1.870000000000e+00 - 103 DIS_NCP 4.000000100000e-01 5.000000000000e+03 7.400000000000e-03 1.205515333154e-01 2.968225000000e-04 2.552673500000e-03 2.150000000000e+00 - 104 DIS_NCP 5.000000000000e-01 5.000000000000e+03 6.000000000000e-03 6.088106957576e-02 2.417009400000e-04 1.623734520000e-03 2.620000000000e+00 - 105 DIS_NCP 6.000000200000e-01 5.000000000000e+03 5.000000000000e-03 2.672467234666e-02 1.697623200000e-04 9.242615200000e-04 3.430000000000e+00 - 106 DIS_NCP 6.999999900000e-01 5.000000000000e+03 4.300000000000e-03 8.545736640279e-03 1.034873500000e-04 4.436457700000e-04 4.930000000000e+00 - 107 DIS_NCP 8.000000100000e-01 5.000000000000e+03 3.700000000000e-03 2.220256735545e-03 5.311948800000e-05 1.782407820000e-04 8.590000000000e+00 - 108 DIS_NCP 8.500000000000e-03 1.000000000000e+04 7.003000000000e-01 1.382306890801e+00 1.798069000000e-03 1.770406400000e-02 1.280000000000e+00 - 109 DIS_NCP 2.000000000000e-02 1.000000000000e+04 2.976000000000e-01 9.649490134729e-01 9.588620000000e-04 7.575009800000e-03 7.900000000000e-01 - 110 DIS_NCP 5.000000000000e-02 1.000000000000e+04 1.190000000000e-01 6.237300243234e-01 6.233980000000e-04 4.987184000000e-03 8.000000000000e-01 - 111 DIS_NCP 8.500000000000e-02 1.000000000000e+04 7.000000000000e-02 4.877168883651e-01 5.852460000000e-04 3.999181000000e-03 8.200000000000e-01 - 112 DIS_NCP 2.000000000000e-01 1.000000000000e+04 2.980000000000e-02 3.103676332284e-01 5.521986000000e-04 2.699637600000e-03 8.800000000000e-01 - 113 DIS_NCP 3.000000100000e-01 1.000000000000e+04 1.980000000000e-02 1.997487800841e-01 5.440446000000e-04 2.156028600000e-03 1.070000000000e+00 - 114 DIS_NCP 4.000000100000e-01 1.000000000000e+04 1.490000000000e-02 1.208616012873e-01 4.786880000000e-04 1.735244000000e-03 1.450000000000e+00 - 115 DIS_NCP 5.000000000000e-01 1.000000000000e+04 1.190000000000e-02 6.190019286057e-02 3.811679400000e-04 1.272609090000e-03 2.070000000000e+00 - 116 DIS_NCP 6.000000200000e-01 1.000000000000e+04 9.900000000000e-03 2.559396111518e-02 2.709724000000e-04 9.102568000000e-04 3.460000000000e+00 - 117 DIS_NCP 6.999999900000e-01 1.000000000000e+04 8.500000000000e-03 9.095407628938e-03 1.651719400000e-04 4.468335640000e-04 5.140000000000e+00 - 118 DIS_NCP 8.000000100000e-01 1.000000000000e+04 7.400000000000e-03 2.135859737620e-03 8.496740400000e-05 1.850933120000e-04 9.280000000000e+00 - 119 DIS_NCP 2.000000000000e-02 2.000000000000e+04 5.952000000000e-01 1.021808572848e+00 1.321476000000e-03 1.301145600000e-02 1.280000000000e+00 - 120 DIS_NCP 5.000000000000e-02 2.000000000000e+04 2.381000000000e-01 6.545195704677e-01 9.973395000000e-04 5.319144000000e-03 8.000000000000e-01 - 121 DIS_NCP 8.500000000000e-02 2.000000000000e+04 1.401000000000e-01 5.118783014863e-01 8.800135000000e-04 4.244771000000e-03 8.200000000000e-01 - 122 DIS_NCP 2.000000000000e-01 2.000000000000e+04 5.950000000000e-02 3.257843366920e-01 8.006575000000e-04 2.882367000000e-03 9.000000000000e-01 - 123 DIS_NCP 3.000000100000e-01 2.000000000000e+04 3.970000000000e-02 2.109546886864e-01 7.879946000000e-04 2.301773700000e-03 1.110000000000e+00 - 124 DIS_NCP 4.000000100000e-01 2.000000000000e+04 2.980000000000e-02 1.214084722196e-01 6.921054000000e-04 1.845614400000e-03 1.520000000000e+00 - 125 DIS_NCP 5.000000000000e-01 2.000000000000e+04 2.380000000000e-02 6.183313470996e-02 5.412272800000e-04 1.340767580000e-03 2.180000000000e+00 - 126 DIS_NCP 6.000000200000e-01 2.000000000000e+04 1.980000000000e-02 2.585805603899e-02 3.789692800000e-04 8.539787200000e-04 3.290000000000e+00 - 127 DIS_NCP 6.999999900000e-01 2.000000000000e+04 1.700000000000e-02 8.888868450441e-03 2.313612960000e-04 4.508142900000e-04 5.300000000000e+00 - 128 DIS_NCP 8.000000100000e-01 2.000000000000e+04 1.490000000000e-02 1.551746631260e-03 1.197929040000e-04 1.989417870000e-04 1.023000000000e+01 - 129 DIS_NCP 5.000000000000e-02 5.000000000000e+04 5.952000000000e-01 6.216631838756e-01 1.450826200000e-03 8.137242600000e-03 1.290000000000e+00 - 130 DIS_NCP 8.500000000000e-02 5.000000000000e+04 3.501000000000e-01 5.012883957231e-01 1.309383400000e-03 4.230315600000e-03 8.400000000000e-01 - 131 DIS_NCP 2.000000000000e-01 5.000000000000e+04 1.488000000000e-01 3.197686233330e-01 1.146585600000e-03 2.962012800000e-03 9.300000000000e-01 - 132 DIS_NCP 3.000000100000e-01 5.000000000000e+04 9.920000000000e-02 2.061395539926e-01 1.131179500000e-03 2.426894200000e-03 1.180000000000e+00 - 133 DIS_NCP 4.000000100000e-01 5.000000000000e+04 7.440000000000e-02 1.218193615535e-01 9.786864000000e-04 1.945437600000e-03 1.630000000000e+00 - 134 DIS_NCP 5.000000000000e-01 5.000000000000e+04 5.950000000000e-02 5.911483257003e-02 7.581849200000e-04 1.420850480000e-03 2.380000000000e+00 - 135 DIS_NCP 6.000000200000e-01 5.000000000000e+04 4.960000000000e-02 2.503722108452e-02 5.269811200000e-04 9.073024000000e-04 3.650000000000e+00 - 136 DIS_NCP 6.999999900000e-01 5.000000000000e+04 4.250000000000e-02 6.990530001754e-03 3.197390360000e-04 4.896759040000e-04 6.080000000000e+00 - 137 DIS_NCP 8.000000100000e-01 5.000000000000e+04 3.720000000000e-02 2.095507269913e-03 1.652616540000e-04 2.230759620000e-04 1.227000000000e+01 - 138 DIS_NCP 8.500000000000e-02 1.000000000000e+05 7.003000000000e-01 4.055369322695e-01 2.021900000000e-03 5.540006000000e-03 1.370000000000e+00 - 139 DIS_NCP 2.000000000000e-01 1.000000000000e+05 2.976000000000e-01 2.856478603471e-01 1.843900500000e-03 3.006976200000e-03 1.060000000000e+00 - 140 DIS_NCP 3.000000100000e-01 1.000000000000e+05 1.984000000000e-01 1.896650455033e-01 1.795471500000e-03 2.645958000000e-03 1.400000000000e+00 - 141 DIS_NCP 4.000000100000e-01 1.000000000000e+05 1.488000000000e-01 1.098149312004e-01 1.552334000000e-03 2.195443800000e-03 1.980000000000e+00 - 142 DIS_NCP 5.000000000000e-01 1.000000000000e+05 1.190000000000e-01 5.560599477324e-02 1.198717920000e-03 1.642687520000e-03 2.960000000000e+00 - 143 DIS_NCP 6.000000200000e-01 1.000000000000e+05 9.920000000000e-02 2.337279701641e-02 8.266262200000e-04 1.077607440000e-03 4.680000000000e+00 - 144 DIS_NCP 6.999999900000e-01 1.000000000000e+05 8.500000000000e-02 7.911045930258e-03 4.986353250000e-04 6.050108610000e-04 8.190000000000e+00 - 145 DIS_NCP 8.000000100000e-01 1.000000000000e+05 7.440000000000e-02 1.740845684237e-03 2.535475320000e-04 2.874843960000e-04 1.762000000000e+01 - 146 DIS_NCP 2.000000000000e-01 2.000000000000e+05 5.952000000000e-01 1.916900557406e-01 2.349768000000e-03 3.465907800000e-03 1.770000000000e+00 - 147 DIS_NCP 3.000000100000e-01 2.000000000000e+05 3.968000000000e-01 1.468144049003e-01 2.415089500000e-03 2.829951500000e-03 1.910000000000e+00 - 148 DIS_NCP 4.000000100000e-01 2.000000000000e+05 2.976000000000e-01 9.334240129533e-02 2.123516400000e-03 2.465125560000e-03 2.670000000000e+00 - 149 DIS_NCP 5.000000000000e-01 2.000000000000e+05 2.381000000000e-01 4.776118352732e-02 1.634233950000e-03 1.890027090000e-03 3.990000000000e+00 - 150 DIS_NCP 6.000000200000e-01 2.000000000000e+05 1.984000000000e-01 1.944305237445e-02 1.125649480000e-03 1.272819200000e-03 6.400000000000e+00 - 151 DIS_NCP 6.999999900000e-01 2.000000000000e+05 1.701000000000e-01 6.580054435354e-03 6.673908570000e-04 7.292681550000e-04 1.155000000000e+01 - 152 DIS_NCP 8.000000100000e-01 2.000000000000e+05 1.488000000000e-01 1.365013221606e-03 3.238613070000e-04 3.425430470000e-04 2.567000000000e+01 - 153 DIS_NCP 4.000000100000e-01 5.000000000000e+05 7.440000000000e-01 4.367690441542e-02 2.062903680000e-03 2.179357920000e-03 5.240000000000e+00 - 154 DIS_NCP 5.000000000000e-01 5.000000000000e+05 5.952000000000e-01 2.321859955075e-02 1.705125640000e-03 1.793670740000e-03 7.090000000000e+00 - 155 DIS_NCP 6.000000200000e-01 5.000000000000e+05 4.960000000000e-01 1.280915545602e-02 1.243641700000e-03 1.292388650000e-03 1.087000000000e+01 - 156 DIS_NCP 6.999999900000e-01 5.000000000000e+05 4.252000000000e-01 3.708232054329e-03 6.960512000000e-04 7.167846400000e-04 1.936000000000e+01 - 157 DIS_NCP 8.000000100000e-01 5.000000000000e+05 3.720000000000e-01 4.085332508267e-04 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1.249000000000e+01 - 105 DIS_CCP 6.999999900000e-01 2.000000000000e+05 1.700700000000e-01 1.516024152111e-03 4.710648400000e-04 4.899220800000e-04 2.676000000000e+01 - 106 DIS_CCP 4.000000100000e-01 5.000000000000e+05 7.440500000000e-01 1.312843332209e-02 8.921682000000e-04 9.804179000000e-04 8.110000000000e+00 - 107 DIS_CCP 5.000000000000e-01 5.000000000000e+05 5.952400000000e-01 7.366188476463e-03 7.916321160000e-04 8.560995300000e-04 1.235000000000e+01 - 108 DIS_CCP 6.000000200000e-01 5.000000000000e+05 4.960300000000e-01 3.961806569958e-03 8.927261100000e-04 9.295483860000e-04 2.171000000000e+01 - 109 DIS_CCP 6.999999900000e-01 5.000000000000e+05 4.251700000000e-01 8.720328443829e-06 1.125533450000e-04 1.139244800000e-04 4.736000000000e+01 diff --git a/nnpdfcpp/data/commondata/DATA_TTBARTOT.dat b/nnpdfcpp/data/commondata/DATA_TTBARTOT.dat deleted file mode 100644 index 0879358d55..0000000000 --- a/nnpdfcpp/data/commondata/DATA_TTBARTOT.dat +++ /dev/null @@ -1,7 +0,0 @@ -TTBARTOT 3 6 - 1 INC 0.000000000000000e+00 3.003289000000000e+04 0.000000000000000e+00 1.730000000000000e+02 6.000000000000000e+00 1.250000000000000e+01 7.225433526011560e+00 7.500000000000000e+00 4.335260115606936e+00 0.000000000000000e+00 0.000000000000000e+00 - 2 INC 0.000000000000000e+00 3.003289000000000e+04 0.000000000000000e+00 1.790000000000000e+02 4.000000000000000e+00 9.000000000000000e+00 5.027932960893855e+00 6.600000000000000e+00 3.687150837988827e+00 0.000000000000000e+00 0.000000000000000e+00 - 3 INC 0.000000000000000e+00 3.003289000000000e+04 0.000000000000000e+00 1.620000000000000e+02 2.000000000000000e+00 5.000000000000000e+00 3.086419753086420e+00 4.000000000000000e+00 2.469135802469136e+00 0.000000000000000e+00 0.000000000000000e+00 - 4 INC 0.000000000000000e+00 3.003289000000000e+04 0.000000000000000e+00 1.580000000000000e+02 2.000000000000000e+00 1.000000000000000e+01 6.329113924050633e+00 4.000000000000000e+00 2.531645569620253e+00 0.000000000000000e+00 0.000000000000000e+00 - 5 INC 0.000000000000000e+00 3.003289000000000e+04 0.000000000000000e+00 2.377000000000000e+02 1.700000000000000e+00 7.400000000000000e+00 3.113167858645352e+00 7.400000000000000e+00 3.113167858645352e+00 4.000000000000000e+00 1.682793437105595e+00 - 6 INC 0.000000000000000e+00 3.003289000000000e+04 0.000000000000000e+00 2.390000000000000e+02 2.000000000000000e+00 1.100000000000000e+01 4.602510460251046e+00 6.000000000000000e+00 2.510460251046025e+00 0.000000000000000e+00 0.000000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_Z06CC.dat b/nnpdfcpp/data/commondata/DATA_Z06CC.dat deleted file mode 100644 index d644546950..0000000000 --- a/nnpdfcpp/data/commondata/DATA_Z06CC.dat +++ /dev/null @@ -1,38 +0,0 @@ -Z06CC 2 37 - 1 DIS_CCE 1.500000000000000e-02 2.800000000000000e+02 1.845918542251757e-01 1.170000000000000e+00 1.000000000000000e-01 3.042000000000000e-02 2.600000000000000e+00 8.000000000000000e-02 6.837606837606838e+00 - 2 DIS_CCE 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7.000000000000001e-02 7.216494845360826e+00 - 7 DIS_CCE 6.800000000000000e-02 5.300000000000000e+02 7.707485509927241e-02 8.450000000000000e-01 7.000000000000001e-02 2.184000000000000e-02 2.600000000000000e+00 3.500000000000000e-02 4.166666666666667e+00 - 8 DIS_CCE 1.300000000000000e-01 5.300000000000000e+02 4.031607805192711e-02 8.750000000000000e-01 9.000000000000000e-02 2.288000000000000e-02 2.600000000000000e+00 3.500000000000000e-02 3.977272727272728e+00 - 9 DIS_CCE 1.500000000000000e-02 9.500000000000000e+02 6.262937911211318e-01 9.200000000000000e-01 7.000000000000001e-02 2.392000000000000e-02 2.600000000000000e+00 5.000000000000000e-02 5.434782608695652e+00 - 10 DIS_CCE 3.200000000000000e-02 9.500000000000000e+02 2.935752145880305e-01 8.800000000000000e-01 5.000000000000000e-02 2.288000000000000e-02 2.600000000000000e+00 6.000000000000000e-02 6.818181818181818e+00 - 11 DIS_CCE 6.800000000000000e-02 9.500000000000000e+02 1.381530421590732e-01 7.400000000000000e-01 5.000000000000000e-02 1.924000000000000e-02 2.600000000000000e+00 3.000000000000000e-02 4.054054054054054e+00 - 12 DIS_CCE 1.300000000000000e-01 9.500000000000000e+02 7.226466820628444e-02 7.200000000000000e-01 5.000000000000000e-02 1.872000000000000e-02 2.600000000000000e+00 2.000000000000000e-02 2.777777777777778e+00 - 13 DIS_CCE 2.400000000000000e-01 9.500000000000000e+02 3.914336194507074e-02 5.300000000000000e-01 6.000000000000000e-02 1.378000000000000e-02 2.600000000000000e+00 2.000000000000000e-02 3.773584905660377e+00 - 14 DIS_CCE 3.200000000000000e-02 1.700000000000000e+03 5.253451208417389e-01 7.900000000000000e-01 4.000000000000000e-02 2.054000000000000e-02 2.600000000000000e+00 5.000000000000000e-02 6.329113924050633e+00 - 15 DIS_CCE 6.800000000000000e-02 1.700000000000000e+03 2.472212333372889e-01 7.600000000000000e-01 4.000000000000000e-02 1.976000000000000e-02 2.600000000000000e+00 3.000000000000000e-02 3.947368421052631e+00 - 16 DIS_CCE 1.300000000000000e-01 1.700000000000000e+03 1.293157220533511e-01 6.400000000000000e-01 4.000000000000000e-02 1.664000000000000e-02 2.600000000000000e+00 2.000000000000000e-02 3.125000000000000e+00 - 17 DIS_CCE 2.400000000000000e-01 1.700000000000000e+03 7.004601611223185e-02 5.300000000000000e-01 4.000000000000000e-02 1.378000000000000e-02 2.600000000000000e+00 1.000000000000000e-02 1.886792452830188e+00 - 18 DIS_CCE 4.200000000000000e-01 1.700000000000000e+03 4.002629492127534e-02 3.050000000000000e-01 5.000000000000000e-02 7.800000000000001e-03 2.600000000000000e+00 1.500000000000000e-02 5.000000000000000e+00 - 19 DIS_CCE 3.200000000000000e-02 3.000000000000000e+03 9.270796250148333e-01 7.000000000000000e-01 6.000000000000000e-02 1.820000000000000e-02 2.600000000000000e+00 6.000000000000000e-02 8.571428571428571e+00 - 20 DIS_CCE 6.800000000000000e-02 3.000000000000000e+03 4.362727647128627e-01 6.400000000000000e-01 3.000000000000000e-02 1.664000000000000e-02 2.600000000000000e+00 3.000000000000000e-02 4.687500000000000e+00 - 21 DIS_CCE 1.300000000000000e-01 3.000000000000000e+03 2.282042153882666e-01 5.800000000000000e-01 4.000000000000000e-02 1.508000000000000e-02 2.600000000000000e+00 3.000000000000000e-02 5.172413793103448e+00 - 22 DIS_CCE 2.400000000000000e-01 3.000000000000000e+03 1.236106166686444e-01 5.000000000000000e-01 3.000000000000000e-02 1.300000000000000e-02 2.600000000000000e+00 2.000000000000000e-02 4.000000000000000e+00 - 23 DIS_CCE 4.200000000000000e-01 3.000000000000000e+03 7.063463809636825e-02 2.350000000000000e-01 2.000000000000000e-02 5.980000000000001e-03 2.600000000000000e+00 1.500000000000000e-02 6.521739130434782e+00 - 24 DIS_CCE 6.800000000000000e-02 5.300000000000000e+03 7.707485509927240e-01 6.200000000000000e-01 4.000000000000000e-02 1.612000000000000e-02 2.600000000000000e+00 3.000000000000000e-02 4.838709677419355e+00 - 25 DIS_CCE 1.300000000000000e-01 5.300000000000000e+03 4.031607805192711e-01 5.000000000000000e-01 4.600000000000000e-01 1.300000000000000e-02 2.600000000000000e+00 3.000000000000000e-02 6.000000000000000e+00 - 26 DIS_CCE 2.400000000000000e-01 5.300000000000000e+03 2.183787561146052e-01 5.050000000000000e-01 4.200000000000000e-01 1.300000000000000e-02 2.600000000000000e+00 2.500000000000000e-02 5.000000000000000e+00 - 27 DIS_CCE 4.200000000000000e-01 5.300000000000000e+03 1.247878606369173e-01 3.000000000000000e-01 2.500000000000000e-01 7.800000000000001e-03 2.600000000000000e+00 2.000000000000000e-02 6.666666666666667e+00 - 28 DIS_CCE 6.500000000000000e-01 5.300000000000000e+03 8.063215610385421e-02 9.500000000000000e-02 2.000000000000000e-02 2.600000000000000e-03 2.600000000000000e+00 1.500000000000000e-02 1.500000000000000e+01 - 29 DIS_CCE 1.300000000000000e-01 9.500000000000000e+03 7.226466820628444e-01 8.050000000000000e-01 5.900000000000000e-01 2.106000000000000e-02 2.600000000000000e+00 4.500000000000000e-02 5.555555555555555e+00 - 30 DIS_CCE 2.400000000000000e-01 9.500000000000000e+03 3.914336194507074e-01 5.250000000000000e-01 4.000000000000000e-01 1.378000000000000e-02 2.600000000000000e+00 3.500000000000000e-02 6.603773584905661e+00 - 31 DIS_CCE 4.200000000000000e-01 9.500000000000000e+03 2.236763539718328e-01 2.600000000000000e-01 2.000000000000000e-01 6.760000000000000e-03 2.600000000000000e+00 2.000000000000000e-02 7.692307692307692e+00 - 32 DIS_CCE 6.500000000000000e-01 9.500000000000000e+03 1.445293364125689e-01 3.000000000000000e-02 2.000000000000000e-02 7.800000000000000e-04 2.600000000000000e+00 1.000000000000000e-02 3.333333333333334e+01 - 33 DIS_CCE 2.400000000000000e-01 1.700000000000000e+04 7.004601611223186e-01 3.900000000000000e-01 3.000000000000000e-02 1.014000000000000e-02 2.600000000000000e+00 5.000000000000000e-02 1.282051282051282e+01 - 34 DIS_CCE 4.200000000000000e-01 1.700000000000000e+04 4.002629492127535e-01 1.750000000000000e-01 2.000000000000000e-02 4.420000000000000e-03 2.600000000000000e+00 2.500000000000000e-02 1.470588235294118e+01 - 35 DIS_CCE 6.500000000000000e-01 1.700000000000000e+04 2.586314441067022e-01 2.500000000000000e-02 2.000000000000000e-02 7.800000000000000e-04 2.600000000000000e+00 1.500000000000000e-02 5.000000000000000e+01 - 36 DIS_CCE 4.200000000000000e-01 3.000000000000000e+04 7.063463809636825e-01 2.350000000000000e-01 3.000000000000000e-02 5.980000000000001e-03 2.600000000000000e+00 7.500000000000001e-02 3.260869565217391e+01 - 37 DIS_CCE 6.500000000000000e-01 3.000000000000000e+04 4.564084307765333e-01 3.500000000000000e-02 2.000000000000000e-02 7.800000000000000e-04 2.600000000000000e+00 1.500000000000000e-02 5.000000000000000e+01 diff --git a/nnpdfcpp/data/commondata/DATA_Z06NC.dat b/nnpdfcpp/data/commondata/DATA_Z06NC.dat deleted file mode 100644 index 0c0e496ed9..0000000000 --- a/nnpdfcpp/data/commondata/DATA_Z06NC.dat +++ /dev/null @@ -1,91 +0,0 @@ -Z06NC 10 90 - 1 DIS_NCE 5.000000000000000e-03 2.000000000000000e+02 3.955539733396622e-01 1.092725000000000e+00 9.810000000000001e-03 2.834000000000000e-02 2.600000000000000e+00 4.360000000000001e-02 4.000000000000000e+00 3.815000000000000e-03 3.500000000000000e-01 5.450000000000001e-03 5.000000000000000e-01 4.360000000000001e-03 4.000000000000000e-01 4.360000000000001e-03 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.090000000000000e-03 1.000000000000000e-01 3.270000000000000e-03 3.000000000000000e-01 7.630000000000000e-03 7.000000000000000e-01 - 2 DIS_NCE 8.000000000000000e-03 2.000000000000000e+02 2.472212333372889e-01 9.186200000000001e-01 7.360000000000000e-03 2.392000000000000e-02 2.600000000000000e+00 3.680000000000000e-02 4.000000000000000e+00 1.380000000000000e-03 1.500000000000000e-01 4.140000000000000e-03 4.500000000000000e-01 1.840000000000000e-03 2.000000000000000e-01 1.472000000000000e-02 1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.300000000000000e-03 2.500000000000000e-01 9.200000000000001e-04 1.000000000000000e-01 8.280000000000001e-03 9.000000000000000e-01 - 3 DIS_NCE 1.300000000000000e-02 2.000000000000000e+02 1.521361435921778e-01 7.788300000000000e-01 6.240000000000001e-03 2.028000000000000e-02 2.600000000000000e+00 3.120000000000000e-02 4.000000000000000e+00 7.800000000000002e-04 1.000000000000000e-01 3.900000000000000e-03 5.000000000000000e-01 1.560000000000000e-03 2.000000000000000e-01 1.014000000000000e-02 1.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.560000000000000e-03 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 6.630000000000001e-03 8.500000000000001e-01 - 4 DIS_NCE 2.100000000000000e-02 2.000000000000000e+02 9.417951746182432e-02 6.603300000000000e-01 6.600000000000001e-03 1.716000000000000e-02 2.600000000000000e+00 2.640000000000000e-02 4.000000000000000e+00 1.320000000000000e-03 2.000000000000000e-01 2.640000000000000e-03 4.000000000000000e-01 1.056000000000000e-02 1.600000000000000e+00 5.940000000000001e-03 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 6.600000000000000e-04 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 5.610000000000000e-03 8.500000000000001e-01 - 5 DIS_NCE 3.200000000000000e-02 2.000000000000000e+02 6.180530833432222e-02 5.594400000000000e-01 5.600000000000001e-03 1.456000000000000e-02 2.600000000000000e+00 2.240000000000000e-02 4.000000000000000e+00 2.800000000000000e-04 5.000000000000000e-02 1.960000000000000e-03 3.500000000000000e-01 8.400000000000001e-03 1.500000000000000e+00 2.016000000000000e-02 3.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.680000000000001e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 4.480000000000000e-03 8.000000000000000e-01 - 6 DIS_NCE 5.000000000000000e-02 2.000000000000000e+02 3.955539733396622e-02 4.985000000000000e-01 5.000000000000000e-03 1.300000000000000e-02 2.600000000000000e+00 2.000000000000000e-02 4.000000000000000e+00 7.500000000000000e-04 1.500000000000000e-01 1.250000000000000e-03 2.500000000000000e-01 2.500000000000000e-03 5.000000000000000e-01 1.100000000000000e-02 2.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.500000000000000e-04 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 4.750000000000000e-03 9.500000000000000e-01 - 7 DIS_NCE 8.000000000000000e-02 2.000000000000000e+02 2.472212333372889e-02 4.391200000000000e-01 3.960000000000000e-03 1.144000000000000e-02 2.600000000000000e+00 1.760000000000000e-02 4.000000000000000e+00 2.200000000000000e-04 5.000000000000000e-02 8.800000000000001e-04 2.000000000000000e-01 2.200000000000000e-02 5.000000000000000e+00 8.800000000000001e-03 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.200000000000000e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 3.960000000000000e-03 9.000000000000000e-01 - 8 DIS_NCE 1.800000000000000e-01 2.000000000000000e+02 1.098761037054617e-02 3.304950000000000e-01 4.290000000000000e-03 8.580000000000001e-03 2.600000000000000e+00 1.320000000000000e-02 4.000000000000000e+00 1.650000000000000e-04 5.000000000000000e-02 4.950000000000001e-04 1.500000000000000e-01 1.749000000000000e-02 5.300000000000000e+00 1.650000000000000e-03 5.000000000000000e-01 1.485000000000000e-03 4.500000000000000e-01 3.300000000000000e-04 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.640000000000000e-03 8.000000000000000e-01 - 9 DIS_NCE 8.000000000000000e-03 2.500000000000000e+02 3.090265416716111e-01 9.418799999999999e-01 9.400000000000000e-03 2.444000000000000e-02 2.600000000000000e+00 3.760000000000000e-02 4.000000000000000e+00 2.820000000000000e-03 3.000000000000000e-01 3.290000000000000e-03 3.500000000000000e-01 4.700000000000000e-03 5.000000000000000e-01 8.460000000000001e-03 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.350000000000000e-03 2.500000000000000e-01 9.400000000000000e-04 1.000000000000000e-01 6.579999999999999e-03 7.000000000000000e-01 - 10 DIS_NCE 1.300000000000000e-02 2.500000000000000e+02 1.901701794902222e-01 7.911850000000000e-01 7.900000000000001e-03 2.054000000000000e-02 2.600000000000000e+00 3.160000000000000e-02 4.000000000000000e+00 2.765000000000000e-03 3.500000000000000e-01 4.345000000000001e-03 5.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.027000000000000e-02 1.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.185000000000000e-03 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 4.740000000000000e-03 6.000000000000000e-01 - 11 DIS_NCE 2.100000000000000e-02 2.500000000000000e+02 1.177243968272804e-01 6.619800000000000e-01 7.260000000000002e-03 1.716000000000000e-02 2.600000000000000e+00 2.640000000000000e-02 4.000000000000000e+00 2.310000000000000e-03 3.500000000000000e-01 2.640000000000000e-03 4.000000000000000e-01 6.600000000000000e-04 1.000000000000000e-01 7.260000000000001e-03 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.320000000000000e-03 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 4.950000000000000e-03 7.500000000000000e-01 - 12 DIS_NCE 3.200000000000000e-02 2.500000000000000e+02 7.725663541790277e-02 5.605599999999999e-01 6.720000000000001e-03 1.456000000000000e-02 2.600000000000000e+00 2.240000000000000e-02 4.000000000000000e+00 1.680000000000000e-03 3.000000000000000e-01 1.960000000000000e-03 3.500000000000000e-01 4.480000000000000e-03 8.000000000000000e-01 1.680000000000000e-02 3.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.800000000000000e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 4.480000000000000e-03 8.000000000000000e-01 - 13 DIS_NCE 5.000000000000000e-02 2.500000000000000e+02 4.944424666745777e-02 4.904899999999999e-01 5.880000000000000e-03 1.274000000000000e-02 2.600000000000000e+00 1.960000000000000e-02 4.000000000000000e+00 9.800000000000000e-04 2.000000000000000e-01 9.800000000000000e-04 2.000000000000000e-01 1.176000000000000e-02 2.400000000000000e+00 1.078000000000000e-02 2.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.450000000000000e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 3.184999999999999e-03 6.499999999999999e-01 - 14 DIS_NCE 8.000000000000000e-02 2.500000000000000e+02 3.090265416716111e-02 4.308600000000000e-01 4.730000000000001e-03 1.118000000000000e-02 2.600000000000000e+00 1.720000000000000e-02 4.000000000000000e+00 1.505000000000000e-03 3.500000000000000e-01 8.600000000000001e-04 2.000000000000000e-01 1.978000000000000e-02 4.600000000000000e+00 9.460000000000001e-03 2.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.150000000000000e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 3.010000000000000e-03 7.000000000000000e-01 - 15 DIS_NCE 1.800000000000000e-01 2.500000000000000e+02 1.373451296318271e-02 3.285150000000001e-01 4.290000000000000e-03 8.580000000000001e-03 2.600000000000000e+00 1.320000000000000e-02 4.000000000000000e+00 3.300000000000000e-04 1.000000000000000e-01 3.300000000000000e-04 1.000000000000000e-01 1.353000000000000e-02 4.100000000000000e+00 6.600000000000001e-03 2.000000000000000e+00 2.145000000000000e-03 6.500000000000000e-01 3.300000000000000e-04 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.640000000000000e-03 8.000000000000000e-01 - 16 DIS_NCE 8.000000000000000e-03 3.500000000000000e+02 4.326371583402555e-01 9.767899999999998e-01 1.261000000000000e-02 2.522000000000000e-02 2.600000000000000e+00 3.880000000000000e-02 4.000000000000000e+00 8.245000000000001e-03 8.500000000000001e-01 5.334999999999999e-03 5.500000000000000e-01 8.730000000000000e-03 9.000000000000000e-01 3.880000000000000e-03 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 4.850000000000000e-03 5.000000000000000e-01 3.880000000000000e-03 4.000000000000000e-01 6.789999999999999e-03 7.000000000000000e-01 - 17 DIS_NCE 1.300000000000000e-02 3.500000000000000e+02 2.662382512863111e-01 8.236899999999999e-01 9.020000000000000e-03 2.132000000000000e-02 2.600000000000000e+00 3.280000000000000e-02 4.000000000000000e+00 5.739999999999999e-03 7.000000000000000e-01 2.870000000000000e-03 3.500000000000000e-01 1.640000000000000e-03 2.000000000000000e-01 8.199999999999999e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.870000000000000e-03 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 5.330000000000000e-03 6.499999999999999e-01 - 18 DIS_NCE 2.100000000000000e-02 3.500000000000000e+02 1.648141555581926e-01 6.917249999999999e-01 8.970000000000001e-03 1.794000000000000e-02 2.600000000000000e+00 2.760000000000000e-02 4.000000000000000e+00 1.725000000000000e-03 2.500000000000000e-01 2.415000000000000e-03 3.500000000000000e-01 2.070000000000000e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.900000000000000e-04 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.795000000000000e-03 5.500000000000000e-01 - 19 DIS_NCE 3.200000000000000e-02 3.500000000000000e+02 1.081592895850639e-01 6.121350000000000e-01 7.930000000000001e-03 1.586000000000000e-02 2.600000000000000e+00 2.440000000000000e-02 4.000000000000000e+00 2.440000000000000e-03 4.000000000000000e-01 1.830000000000000e-03 3.000000000000000e-01 9.760000000000000e-03 1.600000000000000e+00 1.220000000000000e-03 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.220000000000000e-03 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.965000000000000e-03 6.499999999999999e-01 - 20 DIS_NCE 5.000000000000000e-02 3.500000000000000e+02 6.922194533444088e-02 5.105099999999999e-01 6.120000000000000e-03 1.326000000000000e-02 2.600000000000000e+00 2.040000000000000e-02 4.000000000000000e+00 1.530000000000000e-03 3.000000000000000e-01 7.650000000000002e-04 1.500000000000000e-01 9.690000000000001e-03 1.900000000000000e+00 8.160000000000001e-03 1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.650000000000002e-04 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.060000000000000e-03 6.000000000000000e-01 - 21 DIS_NCE 8.000000000000000e-02 3.500000000000000e+02 4.326371583402555e-02 4.402200000000000e-01 5.280000000000000e-03 1.144000000000000e-02 2.600000000000000e+00 1.760000000000000e-02 4.000000000000000e+00 6.600000000000000e-04 1.500000000000000e-01 6.600000000000002e-04 1.500000000000000e-01 4.840000000000001e-03 1.100000000000000e+00 7.040000000000001e-03 1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.200000000000000e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 3.080000000000000e-03 7.000000000000000e-01 - 22 DIS_NCE 1.800000000000000e-01 3.500000000000000e+02 1.922831814845580e-02 3.086050000000000e-01 4.030000000000000e-03 8.060000000000001e-03 2.600000000000000e+00 1.240000000000000e-02 4.000000000000000e+00 6.200000000000000e-04 2.000000000000000e-01 3.100000000000000e-04 1.000000000000000e-01 1.767000000000000e-02 5.700000000000000e+00 8.060000000000001e-03 2.600000000000000e+00 2.015000000000000e-03 6.500000000000000e-01 4.650000000000001e-04 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.015000000000000e-03 6.499999999999999e-01 - 23 DIS_NCE 8.000000000000000e-03 4.500000000000000e+02 5.562477750089000e-01 9.909899999999999e-01 1.485000000000000e-02 2.574000000000000e-02 2.600000000000000e+00 3.960000000000000e-02 4.000000000000000e+00 4.950000000000000e-03 5.000000000000000e-01 1.485000000000000e-02 1.500000000000000e+00 1.287000000000000e-02 1.300000000000000e+00 4.950000000000000e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.475000000000000e-03 2.500000000000000e-01 5.940000000000000e-03 6.000000000000000e-01 4.455000000000000e-03 4.500000000000000e-01 - 24 DIS_NCE 1.300000000000000e-02 4.500000000000000e+02 3.423063230824000e-01 8.591400000000000e-01 1.290000000000000e-02 2.236000000000000e-02 2.600000000000000e+00 3.440000000000000e-02 4.000000000000000e+00 8.600000000000001e-04 1.000000000000000e-01 4.730000000000001e-03 5.500000000000000e-01 3.440000000000000e-03 4.000000000000000e-01 1.720000000000000e-03 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 5.160000000000001e-03 6.000000000000000e-01 8.600000000000001e-04 1.000000000000000e-01 4.730000000000001e-03 5.500000000000000e-01 - 25 DIS_NCE 2.100000000000000e-02 4.500000000000000e+02 2.119039142891047e-01 6.893100000000000e-01 1.173000000000000e-02 1.794000000000000e-02 2.600000000000000e+00 2.760000000000000e-02 4.000000000000000e+00 1.035000000000000e-03 1.500000000000000e-01 3.105000000000000e-03 4.500000000000000e-01 6.900000000000000e-04 1.000000000000000e-01 8.969999999999999e-03 1.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.520000000000000e-03 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 5.520000000000000e-03 8.000000000000000e-01 - 26 DIS_NCE 3.200000000000000e-02 4.500000000000000e+02 1.390619437522250e-01 5.920650000000000e-01 9.440000000000000e-03 1.534000000000000e-02 2.600000000000000e+00 2.360000000000000e-02 4.000000000000000e+00 2.655000000000000e-03 4.500000000000000e-01 1.770000000000000e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 8.260000000000000e-03 1.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.655000000000000e-03 4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 5.605000000000000e-03 9.500000000000000e-01 - 27 DIS_NCE 5.000000000000000e-02 4.500000000000000e+02 8.899964400142399e-02 5.207800000000000e-01 7.280000000000000e-03 1.352000000000000e-02 2.600000000000000e+00 2.080000000000000e-02 4.000000000000000e+00 1.820000000000000e-03 3.500000000000000e-01 5.200000000000001e-04 1.000000000000000e-01 8.320000000000001e-03 1.600000000000000e+00 8.320000000000001e-03 1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.600000000000000e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.640000000000000e-03 7.000000000000000e-01 - 28 DIS_NCE 8.000000000000000e-02 4.500000000000000e+02 5.562477750089000e-02 4.297850000000000e-01 6.880000000000001e-03 1.118000000000000e-02 2.600000000000000e+00 1.720000000000000e-02 4.000000000000000e+00 6.450000000000001e-04 1.500000000000000e-01 6.450000000000001e-04 1.500000000000000e-01 3.010000000000000e-03 7.000000000000000e-01 7.310000000000000e-03 1.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.505000000000000e-03 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.580000000000000e-03 6.000000000000000e-01 - 29 DIS_NCE 1.300000000000000e-01 4.500000000000000e+02 3.423063230824000e-02 3.608999999999999e-01 6.120000000000000e-03 9.360000000000000e-03 2.600000000000000e+00 1.440000000000000e-02 4.000000000000000e+00 1.080000000000000e-03 3.000000000000000e-01 3.600000000000000e-04 1.000000000000000e-01 1.584000000000000e-02 4.400000000000000e+00 6.840000000000000e-03 1.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.440000000000000e-03 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.980000000000000e-03 5.500000000000000e-01 - 30 DIS_NCE 2.500000000000000e-01 4.500000000000000e+02 1.779992880028480e-02 2.610400000000000e-01 5.200000000000001e-03 6.760000000000000e-03 2.600000000000000e+00 1.040000000000000e-02 4.000000000000000e+00 1.430000000000000e-03 5.500000000000000e-01 3.900000000000001e-04 1.500000000000000e-01 1.352000000000000e-02 5.200000000000000e+00 2.860000000000001e-03 1.100000000000000e+00 2.210000000000000e-03 8.500000000000001e-01 9.100000000000000e-04 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.080000000000000e-03 8.000000000000000e-01 - 31 DIS_NCE 1.300000000000000e-02 6.500000000000000e+02 4.944424666745778e-01 8.839600000000000e-01 1.232000000000000e-02 2.288000000000000e-02 2.600000000000000e+00 3.520000000000000e-02 4.000000000000000e+00 6.160000000000000e-03 7.000000000000000e-01 4.840000000000001e-03 5.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 8.800000000000001e-04 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.200000000000000e-03 2.500000000000000e-01 4.400000000000000e-03 5.000000000000000e-01 3.080000000000000e-03 3.500000000000000e-01 - 32 DIS_NCE 2.100000000000000e-02 6.500000000000000e+02 3.060834317509291e-01 7.600000000000000e-01 1.292000000000000e-02 1.976000000000000e-02 2.600000000000000e+00 3.040000000000000e-02 4.000000000000000e+00 3.800000000000001e-04 5.000000000000000e-02 3.420000000000000e-03 4.500000000000000e-01 2.280000000000000e-03 3.000000000000000e-01 6.840000000000001e-03 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 7.600000000000002e-04 1.000000000000000e-01 7.600000000000002e-04 1.000000000000000e-01 1.520000000000000e-03 2.000000000000000e-01 - 33 DIS_NCE 3.200000000000000e-02 6.500000000000000e+02 2.008672520865472e-01 6.005999999999999e-01 1.200000000000000e-02 1.560000000000000e-02 2.600000000000000e+00 2.400000000000000e-02 4.000000000000000e+00 2.100000000000000e-03 3.500000000000000e-01 2.700000000000000e-03 4.500000000000000e-01 3.000000000000000e-03 5.000000000000000e-01 4.200000000000000e-03 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.000000000000000e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.200000000000000e-03 2.000000000000000e-01 - 34 DIS_NCE 5.000000000000000e-02 6.500000000000000e+02 1.285550413353902e-01 5.105099999999999e-01 9.690000000000001e-03 1.326000000000000e-02 2.600000000000000e+00 2.040000000000000e-02 4.000000000000000e+00 2.550000000000000e-04 5.000000000000000e-02 1.785000000000000e-03 3.500000000000000e-01 2.040000000000000e-03 4.000000000000000e-01 3.570000000000000e-03 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.550000000000000e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 2.295000000000000e-03 4.500000000000000e-01 - 35 DIS_NCE 8.000000000000000e-02 6.500000000000000e+02 8.034690083461889e-02 4.208400000000000e-01 8.820000000000000e-03 1.092000000000000e-02 2.600000000000000e+00 1.680000000000000e-02 4.000000000000000e+00 1.470000000000000e-03 3.500000000000000e-01 8.400000000000000e-04 2.000000000000000e-01 7.560000000000000e-03 1.800000000000000e+00 4.200000000000000e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.100000000000000e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 4.200000000000000e-03 1.000000000000000e+00 - 36 DIS_NCE 1.300000000000000e-01 6.500000000000000e+02 4.944424666745777e-02 3.610800000000000e-01 7.920000000000000e-03 9.360000000000000e-03 2.600000000000000e+00 1.440000000000000e-02 4.000000000000000e+00 1.620000000000000e-03 4.500000000000000e-01 5.400000000000001e-04 1.500000000000000e-01 7.560000000000000e-03 2.100000000000000e+00 2.880000000000000e-03 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 9.000000000000000e-04 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.420000000000000e-03 9.500000000000000e-01 - 37 DIS_NCE 2.500000000000000e-01 6.500000000000000e+02 2.571100826707804e-02 2.511250000000000e-01 6.000000000000000e-03 6.500000000000001e-03 2.600000000000000e+00 1.000000000000000e-02 4.000000000000000e+00 1.250000000000000e-03 5.000000000000000e-01 5.000000000000000e-04 2.000000000000000e-01 1.575000000000000e-02 6.300000000000000e+00 2.500000000000000e-03 1.000000000000000e+00 1.250000000000000e-03 5.000000000000000e-01 7.500000000000000e-04 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.625000000000000e-03 1.050000000000000e+00 - 38 DIS_NCE 1.300000000000000e-02 8.000000000000000e+02 6.085445743687111e-01 8.565600000000000e-01 1.548000000000000e-02 2.236000000000000e-02 2.600000000000000e+00 3.440000000000000e-02 4.000000000000000e+00 6.020000000000000e-03 7.000000000000000e-01 7.740000000000000e-03 9.000000000000000e-01 3.440000000000000e-03 4.000000000000000e-01 8.600000000000000e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.300000000000000e-04 5.000000000000000e-02 5.160000000000001e-03 6.000000000000000e-01 3.010000000000000e-03 3.500000000000000e-01 - 39 DIS_NCE 2.100000000000000e-02 8.000000000000000e+02 3.767180698472973e-01 7.292700000000000e-01 1.533000000000000e-02 1.898000000000000e-02 2.600000000000000e+00 2.920000000000000e-02 4.000000000000000e+00 2.190000000000000e-03 3.000000000000000e-01 3.285000000000000e-03 4.500000000000000e-01 4.380000000000000e-03 6.000000000000000e-01 1.460000000000000e-03 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.825000000000000e-03 2.500000000000000e-01 7.300000000000000e-04 1.000000000000000e-01 2.920000000000000e-03 4.000000000000000e-01 - 40 DIS_NCE 3.200000000000000e-02 8.000000000000000e+02 2.472212333372889e-01 6.287400000000000e-01 1.323000000000000e-02 1.638000000000000e-02 2.600000000000000e+00 2.520000000000000e-02 4.000000000000000e+00 1.260000000000000e-03 2.000000000000000e-01 2.835000000000000e-03 4.500000000000000e-01 5.040000000000000e-03 8.000000000000000e-01 5.670000000000001e-03 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 9.450000000000000e-04 1.500000000000000e-01 6.300000000000000e-04 1.000000000000000e-01 1.890000000000000e-03 3.000000000000000e-01 - 41 DIS_NCE 5.000000000000000e-02 8.000000000000000e+02 1.582215893358649e-01 5.210400000000001e-01 1.040000000000000e-02 1.352000000000000e-02 2.600000000000000e+00 2.080000000000000e-02 4.000000000000000e+00 7.800000000000000e-04 1.500000000000000e-01 1.820000000000000e-03 3.500000000000000e-01 3.640000000000000e-03 7.000000000000000e-01 1.040000000000000e-02 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.300000000000000e-03 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.820000000000000e-03 3.500000000000000e-01 - 42 DIS_NCE 8.000000000000000e-02 8.000000000000000e+02 9.888849333491555e-02 4.502250000000000e-01 9.450000000000002e-03 1.170000000000000e-02 2.600000000000000e+00 1.800000000000000e-02 4.000000000000000e+00 1.125000000000000e-03 2.500000000000000e-01 1.125000000000000e-03 2.500000000000000e-01 1.125000000000000e-02 2.500000000000000e+00 4.500000000000000e-04 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.700000000000000e-03 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.575000000000000e-03 3.500000000000000e-01 - 43 DIS_NCE 1.300000000000000e-01 8.000000000000000e+02 6.085445743687110e-02 3.801900000000000e-01 9.120000000000000e-03 9.880000000000002e-03 2.600000000000000e+00 1.520000000000000e-02 4.000000000000000e+00 9.500000000000000e-04 2.500000000000000e-01 9.500000000000000e-04 2.500000000000000e-01 2.660000000000000e-03 7.000000000000000e-01 2.280000000000000e-03 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 9.500000000000000e-04 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 7.600000000000002e-04 2.000000000000000e-01 - 44 DIS_NCE 2.500000000000000e-01 8.000000000000000e+02 3.164431786717298e-02 2.619500000000000e-01 7.280000000000000e-03 6.760000000000000e-03 2.600000000000000e+00 1.040000000000000e-02 4.000000000000000e+00 3.900000000000000e-04 1.500000000000000e-01 5.200000000000001e-04 2.000000000000000e-01 8.580000000000001e-03 3.300000000000000e+00 2.080000000000000e-03 8.000000000000000e-01 1.690000000000000e-03 6.500000000000000e-01 1.560000000000000e-03 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 6.500000000000001e-04 2.500000000000000e-01 - 45 DIS_NCE 1.400000000000000e-02 1.200000000000000e+03 8.476156571564190e-01 8.811000000000000e-01 2.047000000000000e-02 2.314000000000000e-02 2.600000000000000e+00 3.560000000000000e-02 4.000000000000000e+00 1.246000000000000e-02 1.400000000000000e+00 8.010000000000000e-03 9.000000000000000e-01 6.230000000000000e-03 7.000000000000000e-01 1.246000000000000e-02 1.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.895000000000001e-03 5.500000000000000e-01 1.246000000000000e-02 1.400000000000000e+00 3.115000000000000e-03 3.500000000000000e-01 - 46 DIS_NCE 2.100000000000000e-02 1.200000000000000e+03 5.650771047709460e-01 7.915800000000001e-01 1.659000000000000e-02 2.054000000000000e-02 2.600000000000000e+00 3.160000000000000e-02 4.000000000000000e+00 3.950000000000000e-03 5.000000000000000e-01 3.950000000000000e-03 5.000000000000000e-01 1.185000000000000e-02 1.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.975000000000000e-03 2.500000000000000e-01 3.160000000000000e-03 4.000000000000000e-01 2.765000000000000e-03 3.500000000000000e-01 - 47 DIS_NCE 3.200000000000000e-02 1.200000000000000e+03 3.708318500059333e-01 6.093900000000000e-01 1.281000000000000e-02 1.586000000000000e-02 2.600000000000000e+00 2.440000000000000e-02 4.000000000000000e+00 3.050000000000000e-04 5.000000000000000e-02 2.745000000000000e-03 4.500000000000000e-01 3.050000000000000e-03 5.000000000000000e-01 4.270000000000000e-03 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 6.100000000000000e-04 1.000000000000000e-01 1.220000000000000e-03 2.000000000000000e-01 3.660000000000000e-03 6.000000000000000e-01 - 48 DIS_NCE 5.000000000000000e-02 1.200000000000000e+03 2.373323840037973e-01 5.500000000000000e-01 9.900000000000001e-03 1.430000000000000e-02 2.600000000000000e+00 2.200000000000000e-02 4.000000000000000e+00 2.750000000000000e-04 5.000000000000000e-02 1.650000000000000e-03 3.000000000000000e-01 5.500000000000000e-04 1.000000000000000e-01 6.600000000000001e-03 1.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.925000000000000e-03 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.200000000000000e-03 4.000000000000000e-01 - 49 DIS_NCE 8.000000000000000e-02 1.200000000000000e+03 1.483327400023733e-01 4.604600000000000e-01 8.740000000000000e-03 1.196000000000000e-02 2.600000000000000e+00 1.840000000000000e-02 4.000000000000000e+00 6.900000000000001e-04 1.500000000000000e-01 1.380000000000000e-03 3.000000000000000e-01 1.380000000000000e-03 3.000000000000000e-01 5.520000000000001e-03 1.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.380000000000000e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.610000000000000e-03 3.500000000000000e-01 - 50 DIS_NCE 1.300000000000000e-01 1.200000000000000e+03 9.128168615530666e-02 3.790500000000000e-01 7.980000000000001e-03 9.880000000000002e-03 2.600000000000000e+00 1.520000000000000e-02 4.000000000000000e+00 1.900000000000000e-04 5.000000000000000e-02 5.700000000000001e-04 1.500000000000000e-01 3.420000000000000e-03 9.000000000000000e-01 1.520000000000000e-03 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.140000000000000e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.330000000000000e-03 3.500000000000000e-01 - 51 DIS_NCE 2.500000000000000e-01 1.200000000000000e+03 4.746647680075947e-02 2.506250000000000e-01 6.000000000000000e-03 6.500000000000001e-03 2.600000000000000e+00 1.000000000000000e-02 4.000000000000000e+00 3.750000000000000e-04 1.500000000000000e-01 6.250000000000000e-04 2.500000000000000e-01 5.000000000000000e-03 2.000000000000000e+00 2.500000000000000e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.000000000000000e-04 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.125000000000000e-03 4.500000000000000e-01 - 52 DIS_NCE 4.000000000000000e-01 1.200000000000000e+03 2.966654800047467e-02 1.210800000000000e-01 4.919999999999999e-03 3.120000000000000e-03 2.600000000000000e+00 4.800000000000000e-03 4.000000000000000e+00 6.000000000000000e-05 5.000000000000000e-02 4.800000000000000e-04 4.000000000000000e-01 6.719999999999999e-03 5.600000000000000e+00 7.199999999999999e-04 6.000000000000000e-01 5.520000000000000e-03 4.600000000000000e+00 9.000000000000000e-04 7.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 5.999999999999999e-04 5.000000000000000e-01 - 53 DIS_NCE 2.100000000000000e-02 1.500000000000000e+03 7.063463809636824e-01 7.683599999999999e-01 2.280000000000000e-02 1.976000000000000e-02 2.600000000000000e+00 3.040000000000000e-02 4.000000000000000e+00 4.180000000000001e-03 5.500000000000000e-01 3.800000000000000e-03 5.000000000000000e-01 3.040000000000001e-03 4.000000000000000e-01 7.600000000000002e-04 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 4.180000000000001e-03 5.500000000000000e-01 1.596000000000000e-02 2.100000000000000e+00 3.040000000000001e-03 4.000000000000000e-01 - 54 DIS_NCE 3.200000000000000e-02 1.500000000000000e+03 4.635398125074167e-01 6.309450000000001e-01 1.701000000000000e-02 1.638000000000000e-02 2.600000000000000e+00 2.520000000000000e-02 4.000000000000000e+00 1.260000000000000e-03 2.000000000000000e-01 1.890000000000000e-03 3.000000000000000e-01 6.300000000000000e-04 1.000000000000000e-01 1.890000000000000e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 6.300000000000000e-04 1.000000000000000e-01 1.260000000000000e-03 2.000000000000000e-01 2.205000000000000e-03 3.500000000000000e-01 - 55 DIS_NCE 5.000000000000000e-02 1.500000000000000e+03 2.966654800047466e-01 5.197400000000001e-01 1.248000000000000e-02 1.352000000000000e-02 2.600000000000000e+00 2.080000000000000e-02 4.000000000000000e+00 5.200000000000001e-04 1.000000000000000e-01 1.820000000000000e-03 3.500000000000000e-01 1.040000000000000e-03 2.000000000000000e-01 2.080000000000000e-03 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.340000000000000e-03 4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.820000000000000e-03 3.500000000000000e-01 - 56 DIS_NCE 8.000000000000000e-02 1.500000000000000e+03 1.854159250029667e-01 4.804799999999999e-01 1.104000000000000e-02 1.248000000000000e-02 2.600000000000000e+00 1.920000000000000e-02 4.000000000000000e+00 4.800000000000000e-04 1.000000000000000e-01 1.680000000000000e-03 3.500000000000000e-01 4.320000000000000e-03 9.000000000000000e-01 9.600000000000000e-04 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.200000000000000e-03 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.920000000000000e-03 4.000000000000000e-01 - 57 DIS_NCE 1.300000000000000e-01 1.500000000000000e+03 1.141021076941333e-01 3.820900000000000e-01 1.102000000000000e-02 9.880000000000002e-03 2.600000000000000e+00 1.520000000000000e-02 4.000000000000000e+00 1.520000000000000e-03 4.000000000000000e-01 7.600000000000002e-04 2.000000000000000e-01 4.940000000000001e-03 1.300000000000000e+00 4.180000000000001e-03 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.900000000000000e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.330000000000000e-03 3.500000000000000e-01 - 58 DIS_NCE 1.800000000000000e-01 1.500000000000000e+03 8.240707777909630e-02 3.110850000000000e-01 9.920000000000000e-03 8.060000000000001e-03 2.600000000000000e+00 1.240000000000000e-02 4.000000000000000e+00 1.085000000000000e-03 3.500000000000000e-01 7.750000000000000e-04 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 4.960000000000000e-03 1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.750000000000000e-04 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.240000000000000e-03 4.000000000000000e-01 - 59 DIS_NCE 2.500000000000000e-01 1.500000000000000e+03 5.933309600094933e-02 2.594800000000000e-01 9.880000000000000e-03 6.760000000000000e-03 2.600000000000000e+00 1.040000000000000e-02 4.000000000000000e+00 3.900000000000000e-04 1.500000000000000e-01 7.800000000000000e-04 3.000000000000000e-01 4.420000000000000e-03 1.700000000000000e+00 1.560000000000000e-03 6.000000000000000e-01 1.300000000000000e-04 5.000000000000000e-02 5.200000000000001e-04 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 7.800000000000000e-04 3.000000000000000e-01 - 60 DIS_NCE 4.000000000000000e-01 1.500000000000000e+03 3.708318500059333e-02 1.336400000000000e-01 7.410000000000001e-03 3.380000000000000e-03 2.600000000000000e+00 5.200000000000001e-03 4.000000000000000e+00 3.900000000000000e-04 3.000000000000000e-01 5.200000000000001e-04 4.000000000000000e-01 2.600000000000000e-03 2.000000000000000e+00 1.170000000000000e-03 9.000000000000000e-01 7.800000000000001e-03 6.000000000000000e+00 4.550000000000000e-04 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 7.150000000000001e-04 5.500000000000000e-01 - 61 DIS_NCE 3.200000000000000e-02 2.000000000000000e+03 6.180530833432222e-01 6.454400000000000e-01 2.112000000000000e-02 1.664000000000000e-02 2.600000000000000e+00 2.560000000000000e-02 4.000000000000000e+00 5.760000000000000e-03 9.000000000000000e-01 1.280000000000000e-03 2.000000000000000e-01 1.920000000000000e-03 3.000000000000000e-01 6.400000000000000e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.520000000000001e-03 5.500000000000000e-01 6.080000000000001e-03 9.500000000000001e-01 2.240000000000000e-03 3.500000000000000e-01 - 62 DIS_NCE 5.000000000000000e-02 2.000000000000000e+03 3.955539733396622e-01 5.711400000000000e-01 1.653000000000000e-02 1.482000000000000e-02 2.600000000000000e+00 2.280000000000000e-02 4.000000000000000e+00 1.425000000000000e-03 2.500000000000000e-01 1.995000000000000e-03 3.500000000000000e-01 1.710000000000000e-03 3.000000000000000e-01 3.420000000000000e-03 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 5.700000000000000e-04 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2.046000000000000e-02 8.060000000000001e-03 2.600000000000000e+00 1.240000000000000e-02 4.000000000000000e+00 1.240000000000000e-03 4.000000000000000e-01 7.750000000000000e-04 2.500000000000000e-01 1.116000000000000e-02 3.600000000000000e+00 1.240000000000000e-03 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.635000000000000e-03 8.500000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 1.240000000000000e-03 4.000000000000000e-01 - 83 DIS_NCE 4.000000000000000e-01 8.000000000000000e+03 1.977769866698311e-01 1.097800000000000e-01 1.243000000000000e-02 2.860000000000001e-03 2.600000000000000e+00 4.400000000000000e-03 4.000000000000000e+00 5.500000000000001e-05 5.000000000000000e-02 3.850000000000000e-04 3.500000000000000e-01 7.700000000000000e-03 7.000000000000000e+00 6.600000000000000e-04 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 4.400000000000001e-04 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.430000000000000e-03 1.300000000000000e+00 - 84 DIS_NCE 6.500000000000000e-01 8.000000000000000e+03 1.217089148737422e-01 2.018000000000000e-02 3.680000000000000e-03 5.200000000000001e-04 2.600000000000000e+00 8.000000000000000e-04 4.000000000000000e+00 1.600000000000000e-04 7.999999999999999e-01 1.800000000000000e-04 9.000000000000000e-01 3.000000000000000e-04 1.500000000000000e+00 4.600000000000000e-04 2.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.400000000000001e-04 2.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.400000000000000e-04 7.000000000000000e-01 - 85 DIS_NCE 1.800000000000000e-01 1.200000000000000e+04 6.592566222327704e-01 4.521800000000000e-01 2.806000000000000e-02 1.196000000000000e-02 2.600000000000000e+00 1.840000000000000e-02 4.000000000000000e+00 1.058000000000000e-02 2.300000000000000e+00 1.610000000000000e-03 3.500000000000000e-01 1.840000000000000e-03 4.000000000000000e-01 9.200000000000001e-04 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.530000000000001e-03 5.500000000000000e-01 1.150000000000000e-03 2.500000000000000e-01 2.530000000000001e-03 5.500000000000000e-01 - 86 DIS_NCE 2.500000000000000e-01 1.200000000000000e+04 4.746647680075947e-01 3.505250000000000e-01 2.869999999999999e-02 9.099999999999999e-03 2.600000000000000e+00 1.400000000000000e-02 4.000000000000000e+00 5.249999999999999e-03 1.500000000000000e+00 7.000000000000000e-04 2.000000000000000e-01 1.050000000000000e-03 3.000000000000000e-01 2.800000000000000e-03 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.325000000000000e-03 9.500000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 3.850000000000000e-03 1.100000000000000e+00 - 87 DIS_NCE 4.000000000000000e-01 1.200000000000000e+04 2.966654800047466e-01 1.624000000000000e-01 2.016000000000000e-02 4.160000000000001e-03 2.600000000000000e+00 6.400000000000000e-03 4.000000000000000e+00 2.320000000000000e-03 1.450000000000000e+00 5.600000000000000e-04 3.500000000000000e-01 5.120000000000000e-03 3.200000000000000e+00 1.280000000000000e-03 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.160000000000000e-03 1.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.520000000000000e-03 9.500000000000000e-01 - 88 DIS_NCE 2.500000000000000e-01 2.000000000000000e+04 7.911079466793244e-01 4.744900000000001e-01 4.232000000000000e-02 1.196000000000000e-02 2.600000000000000e+00 1.840000000000000e-02 4.000000000000000e+00 1.541000000000000e-02 3.350000000000000e+00 3.910000000000000e-03 8.500000000000000e-01 1.012000000000000e-02 2.200000000000000e+00 4.600000000000001e-04 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.070000000000000e-03 4.500000000000000e-01 9.429999999999999e-03 2.050000000000000e+00 2.530000000000001e-03 5.500000000000000e-01 - 89 DIS_NCE 4.000000000000000e-01 2.000000000000000e+04 4.944424666745778e-01 1.864800000000000e-01 2.790000000000000e-02 4.680000000000000e-03 2.600000000000000e+00 7.200000000000000e-03 4.000000000000000e+00 3.240000000000000e-03 1.800000000000000e+00 7.199999999999999e-04 4.000000000000000e-01 1.620000000000000e-03 9.000000000000000e-01 5.400000000000000e-03 3.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.890000000000000e-03 1.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.070000000000000e-03 1.150000000000000e+00 - 90 DIS_NCE 4.000000000000000e-01 3.000000000000000e+04 7.416637000118667e-01 2.416800000000000e-01 3.996000000000000e-02 6.240000000000000e-03 2.600000000000000e+00 9.599999999999999e-03 4.000000000000000e+00 8.040000000000000e-03 3.350000000000000e+00 5.999999999999999e-04 2.500000000000000e-01 1.920000000000000e-03 8.000000000000000e-01 1.680000000000000e-03 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 6.000000000000000e-03 2.500000000000000e+00 3.480000000000000e-03 1.450000000000000e+00 3.120000000000000e-03 1.300000000000000e+00 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_DYE866P_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_DYE866P_DEFAULT.dat deleted file mode 100644 index 48d0bc08e7..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_DYE866P_DEFAULT.dat +++ /dev/null @@ -1,3 +0,0 @@ -2 -1 ADD UNCORR -2 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_FCCCC_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_FCCCC_DEFAULT.dat deleted file mode 100644 index 33f059a80f..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_FCCCC_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_FCC_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_FCC_DEFAULT.dat deleted file mode 100644 index 33f059a80f..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_FCC_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC160CCEM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC160CCEM_DEFAULT.dat deleted file mode 100644 index 33f059a80f..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC160CCEM_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC160NCEM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC160NCEM_DEFAULT.dat deleted file mode 100644 index 33f059a80f..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC160NCEM_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC760CCEM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC760CCEM_DEFAULT.dat deleted file mode 100644 index 33f059a80f..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC760CCEM_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC760NCEM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC760NCEM_DEFAULT.dat deleted file mode 100644 index 33f059a80f..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC760NCEM_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeCCC_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeCCC_DEFAULT.dat deleted file mode 100644 index 33f059a80f..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeCCC_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC_DEFAULT.dat deleted file mode 100644 index 33f059a80f..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHeC_DEFAULT.dat +++ /dev/null @@ -1,2 +0,0 @@ -1 -1 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TTBARTOT_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_TTBARTOT_DEFAULT.dat deleted file mode 100644 index 0c553094fc..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_TTBARTOT_DEFAULT.dat +++ /dev/null @@ -1,4 +0,0 @@ -3 -1 MULT UNCORR -2 MULT UNCORR -3 MULT UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_Z06CC_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_Z06CC_DEFAULT.dat deleted file mode 100644 index 849a0dc11a..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_Z06CC_DEFAULT.dat +++ /dev/null @@ -1,3 +0,0 @@ -2 -1 MULT Z06LUMI -2 ADD CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_Z06NC_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_Z06NC_DEFAULT.dat deleted file mode 100644 index a36efe4c29..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_Z06NC_DEFAULT.dat +++ /dev/null @@ -1,11 +0,0 @@ -10 -1 MULT Z06LUMI -2 MULT CORR -3 ADD CORR -4 ADD CORR -5 ADD CORR -6 ADD CORR -7 ADD CORR -8 ADD CORR -9 ADD CORR -10 ADD UNCORR From 4ba4e832b95ce9dfe0ccf8e8b2a37fcc24fe984b Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Tue, 9 Apr 2019 16:25:36 +0200 Subject: [PATCH 228/429] Final cleanup --- nnpdfcpp/data/commondata/DATA_H1HERA2CCEM.dat | 30 ---- nnpdfcpp/data/commondata/DATA_H1HERA2CCEP.dat | 30 ---- nnpdfcpp/data/commondata/DATA_H1HERA2HGHY.dat | 56 ------- .../data/commondata/DATA_H1HERA2LOWQ2.dat | 137 ----------------- nnpdfcpp/data/commondata/DATA_H1HERA2NCEM.dat | 140 ------------------ nnpdfcpp/data/commondata/DATA_H1HERA2NCEP.dat | 139 ----------------- .../data/commondata/DATA_LHCBLOWMASS37PB.dat | 10 -- .../data/commondata/DATA_ZEUSHERA2CCP.dat | 36 ----- .../data/commondata/DATA_ZEUSHERA2NCP.dat | 91 ------------ .../systypes/SYSTYPE_H1HERA2CCEM_DEFAULT.dat | 10 -- .../systypes/SYSTYPE_H1HERA2CCEP_DEFAULT.dat | 10 -- .../systypes/SYSTYPE_H1HERA2HGHY_DEFAULT.dat | 8 - .../systypes/SYSTYPE_H1HERA2LOWQ2_DEFAULT.dat | 11 -- .../systypes/SYSTYPE_H1HERA2NCEM_DEFAULT.dat | 12 -- .../systypes/SYSTYPE_H1HERA2NCEP_DEFAULT.dat | 12 -- .../SYSTYPE_LHCBLOWMASS37PB_DEFAULT.dat | 3 - .../systypes/SYSTYPE_ZEUSHERA2CCP_DEFAULT.dat | 3 - .../systypes/SYSTYPE_ZEUSHERA2NCP_DEFAULT.dat | 17 --- 18 files changed, 755 deletions(-) delete mode 100644 nnpdfcpp/data/commondata/DATA_H1HERA2CCEM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_H1HERA2CCEP.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_H1HERA2HGHY.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_H1HERA2LOWQ2.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_H1HERA2NCEM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_H1HERA2NCEP.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_LHCBLOWMASS37PB.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ZEUSHERA2CCP.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ZEUSHERA2NCP.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2CCEM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2CCEP_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2HGHY_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2LOWQ2_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2NCEM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2NCEP_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_LHCBLOWMASS37PB_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERA2CCP_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERA2NCP_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_H1HERA2CCEM.dat b/nnpdfcpp/data/commondata/DATA_H1HERA2CCEM.dat deleted file mode 100644 index 9a499a4cc7..0000000000 --- a/nnpdfcpp/data/commondata/DATA_H1HERA2CCEM.dat +++ /dev/null @@ -1,30 +0,0 @@ -H1HERA2CCEM 9 29 - 1 DIS_CCE 8.000000000000000e-03 3.000000000000000e+02 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2.900000000000000e-05 2.500000000000000e+00 8.500000000000000e-01 8.280000000000000e-01 4.719600000000000e-02 3.552120000000000e-02 4.290000000000000e+00 2.484000000000000e-02 3.000000000000000e+00 1.043280000000000e-02 1.260000000000000e+00 -1.242000000000000e-03 -1.500000000000000e-01 4.305600000000000e-03 5.200000000000000e-01 4.388400000000000e-03 5.300000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 2 DIS_NCP 3.290000000000000e-05 2.500000000000000e+00 7.500000000000000e-01 8.159999999999999e-01 3.255840000000000e-02 2.668320000000000e-02 3.270000000000000e+00 2.448000000000000e-02 3.000000000000000e+00 9.220799999999999e-03 1.130000000000000e+00 -5.875200000000000e-03 -7.200000000000000e-01 2.856000000000000e-03 3.500000000000000e-01 3.427200000000000e-03 4.200000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 3 DIS_NCP 3.790000000000000e-05 2.500000000000000e+00 6.500000000000000e-01 8.960000000000000e-01 6.191360000000001e-02 4.264960000000000e-02 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2.000000000000000e-02 1.008370000000000e-02 8.900000000000000e-01 3.285700000000000e-03 2.900000000000000e-01 3.852200000000000e-03 3.400000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 13 DIS_NCP 8.550000000000000e-05 6.500000000000000e+00 7.500000000000000e-01 1.077000000000000e+00 3.047910000000000e-02 3.037140000000000e-02 2.820000000000000e+00 3.231000000000000e-02 3.000000000000000e+00 1.152390000000000e-02 1.070000000000000e+00 9.154499999999999e-03 8.500000000000000e-01 3.446400000000000e-03 3.200000000000000e-01 3.661800000000000e-03 3.400000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 14 DIS_NCP 9.860000000000000e-05 6.500000000000000e+00 6.500000000000000e-01 1.134000000000000e+00 2.370060000000000e-02 2.619540000000000e-02 2.310000000000000e+00 3.401999999999999e-02 3.000000000000000e+00 1.009260000000000e-02 8.900000000000000e-01 5.103000000000000e-03 4.500000000000000e-01 2.721600000000000e-03 2.400000000000000e-01 2.608200000000000e-03 2.300000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 15 DIS_NCP 1.300000000000000e-04 6.500000000000000e+00 4.900000000000000e-01 1.115000000000000e+00 1.683650000000000e-02 2.073900000000000e-02 1.860000000000000e+00 3.345000000000000e-02 3.000000000000000e+00 7.916500000000000e-03 7.100000000000000e-01 -1.672500000000000e-03 -1.500000000000000e-01 1.895500000000000e-03 1.700000000000000e-01 2.007000000000000e-03 1.800000000000000e-01 4.460000000000000e-03 4.000000000000000e-01 - 16 DIS_NCP 2.000000000000000e-04 6.500000000000000e+00 3.200000000000000e-01 1.082000000000000e+00 1.861040000000000e-02 2.066620000000000e-02 1.910000000000000e+00 3.246000000000000e-02 3.000000000000000e+00 9.197000000000000e-03 8.500000000000000e-01 -9.629800000000001e-03 -8.900000000000000e-01 3.246000000000000e-04 3.000000000000000e-02 5.410000000000001e-04 5.000000000000000e-02 7.574000000000002e-04 7.000000000000001e-02 - 17 DIS_NCP 3.200000000000000e-04 6.500000000000000e+00 2.000000000000000e-01 1.054000000000000e+00 3.341180000000000e-02 2.371500000000000e-02 2.250000000000000e+00 3.162000000000000e-02 3.000000000000000e+00 9.907600000000001e-03 9.399999999999999e-01 -9.907600000000001e-03 -9.399999999999999e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.686400000000000e-03 1.600000000000000e-01 - 18 DIS_NCP 9.860000000000000e-05 8.500000000000000e+00 8.500000000000000e-01 1.146000000000000e+00 7.403160000000000e-02 4.641300000000000e-02 4.050000000000000e+00 3.438000000000000e-02 3.000000000000000e+00 1.226220000000000e-02 1.070000000000000e+00 -4.584000000000000e-04 -4.000000000000000e-02 4.240200000000000e-03 3.700000000000000e-01 4.011000000000000e-03 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 19 DIS_NCP 1.118000000000000e-04 8.500000000000000e+00 7.500000000000000e-01 1.102000000000000e+00 3.647620000000001e-02 3.107640000000000e-02 2.820000000000000e+00 3.306000000000000e-02 3.000000000000000e+00 9.256800000000001e-03 8.400000000000000e-01 4.738600000000001e-03 4.300000000000000e-01 2.424400000000000e-03 2.200000000000000e-01 2.424400000000000e-03 2.200000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 20 DIS_NCP 1.290000000000000e-04 8.500000000000000e+00 6.500000000000000e-01 1.200000000000000e+00 2.028000000000000e-02 2.664000000000000e-02 2.220000000000000e+00 3.600000000000000e-02 3.000000000000000e+00 1.332000000000000e-02 1.110000000000000e+00 4.560000000000000e-03 3.800000000000000e-01 2.520000000000000e-03 2.100000000000000e-01 2.520000000000000e-03 2.100000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 21 DIS_NCP 2.000000000000000e-04 8.500000000000000e+00 4.200000000000000e-01 1.206000000000000e+00 1.495440000000000e-02 2.170800000000000e-02 1.800000000000000e+00 3.618000000000000e-02 3.000000000000000e+00 6.753600000000001e-03 5.600000000000001e-01 3.256200000000000e-03 2.700000000000000e-01 1.567800000000000e-03 1.300000000000000e-01 2.050200000000000e-03 1.700000000000000e-01 2.050200000000000e-03 1.700000000000000e-01 - 22 DIS_NCP 3.200000000000000e-04 8.500000000000000e+00 2.600000000000000e-01 1.118000000000000e+00 1.542840000000000e-02 2.034760000000000e-02 1.820000000000000e+00 3.354000000000000e-02 3.000000000000000e+00 8.944000000000001e-03 8.000000000000000e-01 3.354000000000000e-04 3.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.472000000000000e-04 4.000000000000000e-02 - 23 DIS_NCP 1.392000000000000e-04 1.200000000000000e+01 8.500000000000000e-01 1.238000000000000e+00 6.610920000000001e-02 4.914860000000000e-02 3.970000000000000e+00 3.714000000000000e-02 3.000000000000000e+00 1.683680000000000e-02 1.360000000000000e+00 1.238000000000000e-03 1.000000000000000e-01 2.599800000000000e-03 2.100000000000000e-01 3.095000000000000e-03 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 24 DIS_NCP 1.578000000000000e-04 1.200000000000000e+01 7.500000000000000e-01 1.313000000000000e+00 4.477330000000000e-02 3.702660000000000e-02 2.820000000000000e+00 3.939000000000000e-02 3.000000000000000e+00 5.908500000000000e-03 4.500000000000000e-01 3.807699999999999e-03 2.900000000000000e-01 3.019900000000000e-03 2.300000000000000e-01 3.413800000000000e-03 2.600000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 25 DIS_NCP 1.821000000000000e-04 1.200000000000000e+01 6.500000000000000e-01 1.244000000000000e+00 3.122440000000000e-02 2.861200000000000e-02 2.300000000000000e+00 3.732000000000001e-02 3.000000000000000e+00 9.081199999999999e-03 7.300000000000000e-01 6.717600000000001e-03 5.400000000000000e-01 2.861200000000000e-03 2.300000000000000e-01 2.488000000000000e-03 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 26 DIS_NCP 2.000000000000000e-04 1.200000000000000e+01 5.900000000000000e-01 1.258000000000000e+00 2.100860000000000e-02 2.767600000000000e-02 2.200000000000000e+00 3.774000000000000e-02 3.000000000000000e+00 1.182520000000000e-02 9.399999999999999e-01 6.541600000000001e-03 5.200000000000000e-01 2.138600000000000e-03 1.700000000000000e-01 2.390200000000000e-03 1.900000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 27 DIS_NCP 9.860000000000000e-05 8.500000000000000e+00 8.500000000000000e-01 1.172000000000000e+00 2.601840000000000e-02 4.395000000000000e-02 3.750000000000000e+00 3.516000000000000e-02 3.000000000000000e+00 8.907200000000001e-03 7.600000000000000e-01 1.054800000000000e-03 9.000000000000000e-02 3.398800000000000e-03 2.900000000000000e-01 3.867600000000000e-03 3.300000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 28 DIS_NCP 1.392000000000000e-04 1.200000000000000e+01 8.500000000000000e-01 1.304000000000000e+00 1.916880000000000e-02 4.837840000000000e-02 3.710000000000000e+00 3.912000000000000e-02 3.000000000000000e+00 1.004080000000000e-02 7.700000000000000e-01 7.824000000000000e-04 6.000000000000000e-02 3.651200000000001e-03 2.800000000000000e-01 3.781600000000000e-03 2.900000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 29 DIS_NCP 1.578000000000000e-04 1.200000000000000e+01 7.500000000000000e-01 1.394000000000000e+00 2.397680000000000e-02 3.777740000000000e-02 2.710000000000000e+00 4.182000000000000e-02 3.000000000000000e+00 1.366120000000000e-02 9.800000000000000e-01 6.970000000000000e-04 5.000000000000000e-02 3.903200000000000e-03 2.800000000000000e-01 3.485000000000000e-03 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 30 DIS_NCP 1.741000000000000e-04 1.500000000000000e+01 8.500000000000000e-01 1.349000000000000e+00 1.848130000000000e-02 5.004790000000000e-02 3.710000000000000e+00 4.047000000000000e-02 3.000000000000000e+00 9.712799999999999e-03 7.200000000000000e-01 4.586600000000001e-03 3.400000000000000e-01 4.181900000000001e-03 3.100000000000000e-01 4.047000000000000e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 31 DIS_NCP 1.973000000000000e-04 1.500000000000000e+01 7.500000000000000e-01 1.400000000000000e+00 1.302000000000000e-02 3.696000000000000e-02 2.640000000000000e+00 4.200000000000000e-02 3.000000000000000e+00 3.640000000000000e-03 2.600000000000000e-01 1.400000000000000e-03 1.000000000000000e-01 3.500000000000000e-03 2.500000000000000e-01 3.500000000000000e-03 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 32 DIS_NCP 2.276000000000000e-04 1.500000000000000e+01 6.500000000000000e-01 1.342000000000000e+00 2.415600000000000e-02 3.126860000000000e-02 2.330000000000000e+00 4.026000000000000e-02 3.000000000000000e+00 4.965400000000001e-03 3.700000000000000e-01 -1.610400000000000e-03 -1.200000000000000e-01 3.489200000000000e-03 2.600000000000000e-01 2.684000000000000e-03 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 33 DIS_NCP 2.321000000000000e-04 2.000000000000000e+01 8.500000000000000e-01 1.396000000000000e+00 2.121920000000000e-02 5.207079999999999e-02 3.730000000000000e+00 4.188000000000000e-02 3.000000000000000e+00 9.911600000000000e-03 7.100000000000000e-01 4.467200000000000e-03 3.200000000000000e-01 3.908800000000000e-03 2.800000000000000e-01 3.490000000000000e-03 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 34 DIS_NCP 2.630000000000000e-04 2.000000000000000e+01 7.500000000000000e-01 1.439000000000000e+00 1.194370000000000e-02 3.784570000000000e-02 2.630000000000000e+00 4.317000000000000e-02 3.000000000000000e+00 1.050470000000000e-02 7.300000000000000e-01 7.195000000000000e-03 5.000000000000000e-01 3.597500000000000e-03 2.500000000000000e-01 3.021900000000000e-03 2.100000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 35 DIS_NCP 3.035000000000000e-04 2.000000000000000e+01 6.500000000000000e-01 1.391000000000000e+00 1.057160000000000e-02 3.004560000000000e-02 2.160000000000000e+00 4.173000000000000e-02 3.000000000000000e+00 5.703100000000000e-03 4.100000000000000e-01 1.808300000000000e-03 1.300000000000000e-01 3.338400000000000e-03 2.400000000000000e-01 2.642900000000000e-03 1.900000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 36 DIS_NCP 2.901000000000000e-04 2.500000000000000e+01 8.500000000000000e-01 1.482000000000000e+00 3.645720000000000e-02 5.720520000000000e-02 3.860000000000000e+00 4.446000000000000e-02 3.000000000000000e+00 9.633000000000001e-03 6.500000000000000e-01 -8.892000000000000e-04 -6.000000000000000e-02 4.742400000000000e-03 3.200000000000000e-01 3.408600000000000e-03 2.300000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 37 DIS_NCP 3.288000000000000e-04 2.500000000000000e+01 7.500000000000000e-01 1.450000000000000e+00 1.276000000000000e-02 3.828000000000000e-02 2.640000000000000e+00 4.350000000000000e-02 3.000000000000000e+00 4.785000000000000e-03 3.300000000000000e-01 4.495000000000000e-03 3.100000000000000e-01 3.480000000000000e-03 2.400000000000000e-01 2.900000000000000e-03 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 38 DIS_NCP 3.794000000000000e-04 2.500000000000000e+01 6.500000000000000e-01 1.469000000000000e+00 1.072370000000000e-02 3.173040000000001e-02 2.160000000000000e+00 4.407000000000000e-02 3.000000000000000e+00 8.079500000000000e-03 5.500000000000000e-01 6.316700000000001e-03 4.300000000000000e-01 3.525600000000000e-03 2.400000000000000e-01 2.791100000000000e-03 1.900000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 39 DIS_NCP 5.000000000000000e-04 2.500000000000000e+01 4.900000000000000e-01 1.403000000000000e+00 9.680700000000000e-03 2.483310000000000e-02 1.770000000000000e+00 4.209000000000000e-02 3.000000000000000e+00 1.038220000000000e-02 7.400000000000000e-01 1.262700000000000e-03 9.000000000000000e-02 3.086600000000000e-03 2.200000000000000e-01 2.665700000000000e-03 1.900000000000000e-01 7.155300000000000e-03 5.100000000000000e-01 - 40 DIS_NCP 8.000000000000000e-04 2.500000000000000e+01 3.100000000000000e-01 1.281000000000000e+00 1.409100000000000e-02 2.369850000000000e-02 1.850000000000000e+00 3.843000000000000e-02 3.000000000000000e+00 8.966999999999999e-03 7.000000000000000e-01 2.433900000000000e-03 1.900000000000000e-01 1.281000000000000e-03 1.000000000000000e-01 1.537200000000000e-03 1.200000000000000e-01 1.024800000000000e-03 8.000000000000000e-02 - 41 DIS_NCP 4.603000000000000e-04 3.500000000000000e+01 7.500000000000000e-01 1.457000000000000e+00 1.792110000000000e-02 3.904760000000001e-02 2.680000000000000e+00 4.371000000000001e-02 3.000000000000000e+00 4.808100000000001e-03 3.300000000000000e-01 5.245200000000000e-03 3.600000000000000e-01 4.225300000000000e-03 2.900000000000000e-01 3.059700000000000e-03 2.100000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 42 DIS_NCP 5.311000000000000e-04 3.500000000000000e+01 6.500000000000000e-01 1.483000000000000e+00 9.787800000000001e-03 3.188450000000000e-02 2.150000000000000e+00 4.449000000000000e-02 3.000000000000000e+00 4.597300000000000e-03 3.100000000000000e-01 6.376900000000000e-03 4.300000000000000e-01 3.855800000000000e-03 2.600000000000000e-01 2.817700000000000e-03 1.900000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 43 DIS_NCP 8.000000000000000e-04 3.500000000000000e+01 4.300000000000000e-01 1.404000000000000e+00 6.739200000000000e-03 2.457000000000000e-02 1.750000000000000e+00 4.212000000000000e-02 3.000000000000000e+00 1.095120000000000e-02 7.800000000000000e-01 4.071600000000000e-03 2.900000000000000e-01 2.527200000000000e-03 1.800000000000000e-01 2.386800000000000e-03 1.700000000000000e-01 2.246400000000000e-03 1.600000000000000e-01 - 44 DIS_NCP 1.300000000000000e-03 3.500000000000000e+01 2.700000000000000e-01 1.236000000000000e+00 7.786800000000001e-03 2.187720000000000e-02 1.770000000000000e+00 3.708000000000000e-02 3.000000000000000e+00 7.910400000000000e-03 6.400000000000000e-01 1.236000000000000e-04 1.000000000000000e-02 1.236000000000000e-04 1.000000000000000e-02 2.472000000000000e-04 2.000000000000000e-02 1.236000000000000e-04 1.000000000000000e-02 - 45 DIS_NCP 2.000000000000000e-03 3.500000000000000e+01 1.700000000000000e-01 1.112000000000000e+00 1.579040000000000e-02 2.146160000000000e-02 1.930000000000000e+00 3.336000000000000e-02 3.000000000000000e+00 1.390000000000000e-02 1.250000000000000e+00 -3.892000000000000e-03 -3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 46 DIS_NCP 6.341000000000000e-04 4.500000000000000e+01 7.000000000000000e-01 1.470000000000000e+00 1.470000000000000e-02 3.248700000000000e-02 2.210000000000000e+00 4.410000000000000e-02 3.000000000000000e+00 1.161300000000000e-02 7.900000000000000e-01 4.116000000000000e-03 2.800000000000000e-01 4.116000000000000e-03 2.800000000000000e-01 2.646000000000000e-03 1.800000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 47 DIS_NCP 8.000000000000000e-04 4.500000000000000e+01 5.500000000000000e-01 1.488000000000000e+00 1.026720000000000e-02 3.214080000000000e-02 2.160000000000000e+00 4.464000000000001e-02 3.000000000000000e+00 1.264800000000000e-02 8.500000000000000e-01 6.100800000000000e-03 4.100000000000000e-01 3.273600000000000e-03 2.200000000000000e-01 2.827200000000000e-03 1.900000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 48 DIS_NCP 1.300000000000000e-03 4.500000000000000e+01 3.400000000000000e-01 1.316000000000000e+00 5.922000000000001e-03 2.303000000000000e-02 1.750000000000000e+00 3.948000000000001e-02 3.000000000000000e+00 6.580000000000001e-03 5.000000000000000e-01 5.922000000000001e-03 4.500000000000000e-01 1.052800000000000e-03 8.000000000000000e-02 1.184400000000000e-03 9.000000000000000e-02 5.264000000000001e-04 4.000000000000000e-02 - 49 DIS_NCP 2.000000000000000e-03 4.500000000000000e+01 2.200000000000000e-01 1.182000000000000e+00 6.146400000000000e-03 2.080320000000000e-02 1.760000000000000e+00 3.546000000000000e-02 3.000000000000000e+00 6.382800000000000e-03 5.400000000000000e-01 3.546000000000000e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.546000000000000e-04 3.000000000000000e-02 - 50 DIS_NCP 1.302000000000000e-03 6.000000000000000e+01 4.500000000000000e-01 1.419000000000000e+00 8.655899999999999e-03 2.511630000000000e-02 1.770000000000000e+00 4.257000000000000e-02 3.000000000000000e+00 5.959799999999999e-03 4.200000000000000e-01 4.966500000000000e-03 3.500000000000000e-01 2.554200000000000e-03 1.800000000000000e-01 1.986600000000000e-03 1.400000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 51 DIS_NCP 2.000000000000000e-03 6.000000000000000e+01 3.000000000000000e-01 1.248000000000000e+00 6.240000000000000e-03 2.196480000000000e-02 1.760000000000000e+00 3.744000000000000e-02 3.000000000000000e+00 4.992000000000001e-03 4.000000000000000e-01 6.988800000000001e-03 5.600000000000001e-01 2.496000000000000e-04 2.000000000000000e-02 3.744000000000000e-04 3.000000000000000e-02 2.496000000000000e-04 2.000000000000000e-02 - 52 DIS_NCP 3.200000000000000e-03 6.000000000000000e+01 1.800000000000000e-01 1.102000000000000e+00 7.824200000000000e-03 1.961560000000000e-02 1.780000000000000e+00 3.306000000000000e-02 3.000000000000000e+00 9.146600000000001e-03 8.300000000000000e-01 3.636600000000000e-03 3.300000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.204000000000000e-04 2.000000000000000e-02 - 53 DIS_NCP 2.004000000000000e-03 9.000000000000000e+01 4.400000000000000e-01 1.354000000000000e+00 1.069660000000000e-02 2.437200000000000e-02 1.800000000000000e+00 4.062000000000000e-02 3.000000000000000e+00 7.582400000000001e-03 5.600000000000001e-01 5.686800000000000e-03 4.200000000000000e-01 1.218600000000000e-03 9.000000000000000e-02 1.083200000000000e-03 8.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 - 54 DIS_NCP 3.200000000000000e-03 9.000000000000000e+01 2.800000000000000e-01 1.183000000000000e+00 7.098000000000000e-03 2.093910000000000e-02 1.770000000000000e+00 3.549000000000001e-02 3.000000000000000e+00 5.205200000000000e-03 4.400000000000000e-01 3.785600000000000e-03 3.200000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 55 DIS_NCP 5.000000000000000e-03 9.000000000000000e+01 1.800000000000000e-01 1.018000000000000e+00 1.527000000000000e-02 1.995280000000000e-02 1.960000000000000e+00 3.054000000000000e-02 3.000000000000000e+00 2.952200000000000e-03 2.900000000000000e-01 3.359400000000000e-03 3.300000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_H1HERA2LOWQ2.dat b/nnpdfcpp/data/commondata/DATA_H1HERA2LOWQ2.dat deleted file mode 100644 index 95c2188fb7..0000000000 --- a/nnpdfcpp/data/commondata/DATA_H1HERA2LOWQ2.dat +++ /dev/null @@ -1,137 +0,0 @@ -H1HERA2LOWQ2 10 136 - 1 DIS_NCP 2.790000000000000e-05 1.500000000000000e+00 8.480000000000000e-01 6.610000000000000e-01 6.193570000000000e-02 3.265340000000001e-02 4.940000000000000e+00 2.644000000000000e-02 4.000000000000000e+00 1.804530000000000e-02 2.730000000000000e+00 8.328600000000000e-03 1.260000000000000e+00 1.123700000000000e-02 1.700000000000000e+00 1.315390000000000e-02 1.990000000000000e+00 -1.322000000000000e-04 -2.000000000000000e-02 3.833800000000000e-03 5.800000000000000e-01 1.711990000000000e-02 2.590000000000000e+00 2.247400000000000e-03 3.400000000000000e-01 - 2 DIS_NCP 3.480000000000000e-05 1.500000000000000e+00 8.500000000000000e-01 5.210000000000000e-01 4.214890000000000e-02 2.584160000000000e-02 4.960000000000000e+00 2.084000000000000e-02 4.000000000000000e+00 1.807870000000000e-02 3.470000000000000e+00 6.564600000000000e-03 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3.970000000000000e+00 2.652000000000000e-02 4.000000000000000e+00 7.293000000000001e-03 1.100000000000000e+00 7.359300000000001e-03 1.110000000000000e+00 1.021020000000000e-02 1.540000000000000e+00 1.398930000000000e-02 2.110000000000000e+00 -3.315000000000001e-04 -5.000000000000000e-02 -8.154900000000001e-03 -1.230000000000000e+00 1.146990000000000e-02 1.730000000000000e+00 2.254200000000000e-03 3.400000000000000e-01 - 5 DIS_NCP 4.640000000000000e-05 2.000000000000000e+00 8.500000000000000e-01 7.070000000000000e-01 3.223920000000000e-02 3.047169999999999e-02 4.310000000000000e+00 2.828000000000000e-02 4.000000000000000e+00 1.654380000000000e-02 2.340000000000000e+00 8.837500000000000e-03 1.250000000000000e+00 1.293810000000000e-02 1.830000000000000e+00 1.364510000000000e-02 1.930000000000000e+00 -3.535000000000000e-04 -5.000000000000000e-02 7.070000000000000e-05 1.000000000000000e-02 8.696100000000000e-03 1.230000000000000e+00 -2.403800000000000e-03 -3.400000000000000e-01 - 6 DIS_NCP 5.260000000000000e-05 2.000000000000000e+00 7.500000000000000e-01 7.200000000000000e-01 3.297600000000000e-02 2.829600000000000e-02 3.930000000000000e+00 2.880000000000000e-02 4.000000000000000e+00 6.192000000000000e-03 8.600000000000000e-01 8.711999999999999e-03 1.210000000000000e+00 1.180800000000000e-02 1.640000000000000e+00 1.476000000000000e-02 2.050000000000000e+00 -3.600000000000000e-04 -5.000000000000000e-02 3.168000000000000e-03 4.400000000000000e-01 1.101600000000000e-02 1.530000000000000e+00 -2.448000000000000e-03 -3.400000000000000e-01 - 7 DIS_NCP 4.650000000000000e-05 2.500000000000000e+00 8.480000000000000e-01 8.260000000000000e-01 4.493440000000000e-02 3.403120000000000e-02 4.120000000000000e+00 3.304000000000000e-02 4.000000000000000e+00 1.775900000000000e-02 2.150000000000000e+00 9.581599999999999e-03 1.160000000000000e+00 1.354640000000000e-02 1.640000000000000e+00 1.701560000000000e-02 2.060000000000000e+00 -4.130000000000001e-04 -5.000000000000000e-02 1.065540000000000e-02 1.290000000000000e+00 1.263780000000000e-02 1.530000000000000e+00 2.808400000000000e-03 3.400000000000000e-01 - 8 DIS_NCP 5.190000000000000e-05 2.500000000000000e+00 7.600000000000000e-01 8.340000000000000e-01 3.219240000000000e-02 2.585400000000000e-02 3.100000000000000e+00 3.336000000000000e-02 4.000000000000000e+00 5.754599999999999e-03 6.899999999999999e-01 9.924599999999999e-03 1.190000000000000e+00 1.409460000000000e-02 1.690000000000000e+00 1.684680000000000e-02 2.020000000000000e+00 -6.672000000000001e-04 -8.000000000000000e-02 8.673600000000000e-03 1.040000000000000e+00 4.420200000000000e-03 5.300000000000000e-01 2.835600000000000e-03 3.400000000000000e-01 - 9 DIS_NCP 5.800000000000000e-05 2.500000000000000e+00 8.500000000000000e-01 7.800000000000000e-01 3.252600000000000e-02 3.244800000000000e-02 4.160000000000000e+00 3.120000000000000e-02 4.000000000000000e+00 1.840800000000000e-02 2.360000000000000e+00 9.672000000000000e-03 1.240000000000000e+00 1.505400000000000e-02 1.930000000000000e+00 1.466400000000000e-02 1.880000000000000e+00 -3.120000000000000e-04 -4.000000000000000e-02 6.942000000000000e-03 8.900000000000000e-01 1.271400000000000e-02 1.630000000000000e+00 -2.574000000000000e-03 -3.300000000000000e-01 - 10 DIS_NCP 5.800000000000000e-05 2.500000000000000e+00 6.800000000000000e-01 7.650000000000000e-01 3.817350000000001e-02 2.402100000000000e-02 3.140000000000000e+00 3.060000000000000e-02 4.000000000000000e+00 2.754000000000000e-03 3.600000000000000e-01 7.650000000000001e-03 1.000000000000000e+00 1.063350000000000e-02 1.390000000000000e+00 1.721250000000000e-02 2.250000000000000e+00 -6.885000000000000e-04 -9.000000000000000e-02 2.218500000000000e-03 2.900000000000000e-01 1.683000000000000e-03 2.200000000000000e-01 2.601000000000000e-03 3.400000000000000e-01 - 11 DIS_NCP 6.580000000000000e-05 2.500000000000000e+00 7.500000000000000e-01 7.700000000000000e-01 2.032800000000000e-02 2.333100000000000e-02 3.030000000000000e+00 3.080000000000000e-02 4.000000000000000e+00 5.698000000000000e-03 7.400000000000000e-01 8.470000000000002e-03 1.100000000000000e+00 1.309000000000000e-02 1.700000000000000e+00 1.586200000000000e-02 2.060000000000000e+00 -6.160000000000000e-04 -8.000000000000000e-02 6.468000000000001e-03 8.400000000000000e-01 3.542000000000000e-03 4.600000000000000e-01 -2.618000000000001e-03 -3.400000000000000e-01 - 12 DIS_NCP 7.590000000000000e-05 2.500000000000000e+00 6.500000000000000e-01 7.140000000000000e-01 3.077340000000000e-02 2.463300000000000e-02 3.450000000000000e+00 2.856000000000000e-02 4.000000000000000e+00 2.856000000000000e-03 4.000000000000000e-01 8.211000000000000e-03 1.150000000000000e+00 1.092420000000000e-02 1.530000000000000e+00 1.513680000000000e-02 2.120000000000000e+00 -3.570000000000001e-04 -5.000000000000000e-02 -7.140000000000001e-04 -1.000000000000000e-01 1.113840000000000e-02 1.560000000000000e+00 -2.427600000000000e-03 -3.400000000000000e-01 - 13 DIS_NCP 6.510000000000000e-05 3.500000000000000e+00 8.480000000000000e-01 8.680000000000000e-01 4.834760000000000e-02 3.515400000000000e-02 4.050000000000000e+00 3.472000000000000e-02 4.000000000000000e+00 1.848840000000000e-02 2.130000000000000e+00 1.050280000000000e-02 1.210000000000000e+00 1.579760000000000e-02 1.820000000000000e+00 1.692600000000000e-02 1.950000000000000e+00 -3.472000000000000e-04 -4.000000000000000e-02 9.287600000000000e-03 1.070000000000000e+00 1.527680000000000e-02 1.760000000000000e+00 2.951200000000000e-03 3.400000000000000e-01 - 14 DIS_NCP 7.270000000000001e-05 3.500000000000000e+00 7.600000000000000e-01 8.700000000000000e-01 3.062400000000000e-02 2.540400000000000e-02 2.920000000000000e+00 3.480000000000000e-02 4.000000000000000e+00 6.003000000000000e-03 6.899999999999999e-01 9.744000000000001e-03 1.120000000000000e+00 1.383300000000000e-02 1.590000000000000e+00 1.835700000000000e-02 2.110000000000000e+00 -5.220000000000000e-04 -6.000000000000000e-02 7.743000000000000e-03 8.900000000000000e-01 1.070100000000000e-02 1.230000000000000e+00 2.958000000000000e-03 3.400000000000000e-01 - 15 DIS_NCP 8.120000000000000e-05 3.500000000000000e+00 8.500000000000000e-01 7.960000000000000e-01 3.343200000000000e-02 3.223800000000000e-02 4.050000000000000e+00 3.184000000000000e-02 4.000000000000000e+00 1.846720000000000e-02 2.320000000000000e+00 1.018880000000000e-02 1.280000000000000e+00 1.377080000000000e-02 1.730000000000000e+00 1.576080000000000e-02 1.980000000000000e+00 -6.368000000000000e-04 -8.000000000000000e-02 7.482400000000000e-03 9.399999999999999e-01 2.308400000000000e-03 2.900000000000000e-01 -2.706400000000001e-03 -3.400000000000000e-01 - 16 DIS_NCP 8.120000000000000e-05 3.500000000000000e+00 6.800000000000000e-01 8.670000000000000e-01 2.731050000000000e-02 2.158830000000000e-02 2.490000000000000e+00 3.468000000000000e-02 4.000000000000000e+00 3.121200000000000e-03 3.600000000000000e-01 9.363600000000001e-03 1.080000000000000e+00 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3.744000000000000e-02 4.000000000000000e+00 1.123200000000000e-03 1.200000000000000e-01 9.921600000000001e-03 1.060000000000000e+00 1.469520000000000e-02 1.570000000000000e+00 1.993680000000000e-02 2.130000000000000e+00 -7.488000000000000e-04 -8.000000000000000e-02 -2.340000000000000e-03 -2.500000000000000e-01 4.118400000000000e-03 4.400000000000000e-01 3.182400000000000e-03 3.400000000000000e-01 - 19 DIS_NCP 1.060000000000000e-04 3.500000000000000e+00 6.500000000000000e-01 8.600000000000000e-01 1.745800000000000e-02 2.124200000000000e-02 2.470000000000000e+00 3.440000000000000e-02 4.000000000000000e+00 2.236000000000000e-03 2.600000000000000e-01 9.546000000000001e-03 1.110000000000000e+00 1.376000000000000e-02 1.600000000000000e+00 1.814600000000000e-02 2.110000000000000e+00 -4.300000000000000e-04 -5.000000000000000e-02 5.504000000000000e-03 6.400000000000000e-01 1.281400000000000e-02 1.490000000000000e+00 -2.838000000000000e-03 -3.300000000000000e-01 - 20 DIS_NCP 1.060000000000000e-04 3.500000000000000e+00 5.200000000000000e-01 9.560000000000000e-01 5.152840000000000e-02 3.126120000000000e-02 3.270000000000000e+00 3.824000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.061160000000000e-02 1.110000000000000e+00 1.309720000000000e-02 1.370000000000000e+00 2.151000000000000e-02 2.250000000000000e+00 7.839199999999999e-03 8.200000000000000e-01 -5.544800000000000e-03 -5.800000000000000e-01 1.577400000000000e-02 1.650000000000000e+00 3.250400000000000e-03 3.400000000000000e-01 - 21 DIS_NCP 1.410000000000000e-04 3.500000000000000e+00 4.900000000000000e-01 8.000000000000000e-01 2.032000000000000e-02 1.960000000000000e-02 2.450000000000000e+00 3.200000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.640000000000002e-03 1.080000000000000e+00 1.232000000000000e-02 1.540000000000000e+00 1.760000000000000e-02 2.200000000000000e+00 9.200000000000000e-03 1.150000000000000e+00 -4.080000000000000e-03 -5.100000000000000e-01 1.448000000000000e-02 1.810000000000000e+00 -2.720000000000000e-03 -3.400000000000000e-01 - 22 DIS_NCP 9.310000000000000e-05 5.000000000000000e+00 8.480000000000000e-01 8.460000000000000e-01 5.490540000000000e-02 3.375540000000000e-02 3.990000000000000e+00 3.384000000000000e-02 4.000000000000000e+00 2.241900000000000e-02 2.650000000000000e+00 1.040580000000000e-02 1.230000000000000e+00 1.514340000000000e-02 1.790000000000000e+00 1.649700000000000e-02 1.950000000000000e+00 -5.076000000000000e-04 -6.000000000000000e-02 7.360200000000000e-03 8.700000000000000e-01 9.136800000000000e-03 1.080000000000000e+00 2.876400000000000e-03 3.400000000000000e-01 - 23 DIS_NCP 1.040000000000000e-04 5.000000000000000e+00 7.600000000000000e-01 8.800000000000000e-01 3.106400000000000e-02 2.499200000000000e-02 2.840000000000000e+00 3.520000000000000e-02 4.000000000000000e+00 5.984000000000001e-03 6.800000000000000e-01 1.020800000000000e-02 1.160000000000000e+00 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4.008000000000000e-02 4.000000000000000e+00 2.805600000000001e-03 2.800000000000000e-01 1.092180000000000e-02 1.090000000000000e+00 1.472940000000000e-02 1.470000000000000e+00 2.184360000000000e-02 2.180000000000000e+00 -7.014000000000001e-04 -7.000000000000001e-02 5.210400000000000e-03 5.200000000000000e-01 8.717400000000000e-03 8.700000000000000e-01 3.406800000000001e-03 3.400000000000000e-01 - 26 DIS_NCP 1.310000000000000e-04 5.000000000000000e+00 7.500000000000000e-01 9.270000000000000e-01 1.918890000000000e-02 2.595600000000000e-02 2.800000000000000e+00 3.708000000000000e-02 4.000000000000000e+00 5.005800000000000e-03 5.400000000000000e-01 1.056780000000000e-02 1.140000000000000e+00 1.511010000000000e-02 1.630000000000000e+00 1.937430000000000e-02 2.090000000000000e+00 -6.489000000000000e-04 -7.000000000000001e-02 1.075320000000000e-02 1.160000000000000e+00 5.932800000000000e-03 6.400000000000000e-01 -3.059100000000000e-03 -3.300000000000000e-01 - 27 DIS_NCP 1.310000000000000e-04 5.000000000000000e+00 6.000000000000000e-01 9.429999999999999e-01 2.451800000000000e-02 2.234910000000000e-02 2.370000000000000e+00 3.772000000000000e-02 4.000000000000000e+00 1.320200000000000e-03 1.400000000000000e-01 9.995800000000001e-03 1.060000000000000e+00 1.386210000000000e-02 1.470000000000000e+00 2.065170000000000e-02 2.190000000000000e+00 -6.601000000000001e-04 -7.000000000000001e-02 5.846600000000000e-03 6.200000000000000e-01 9.429999999999999e-03 1.000000000000000e+00 3.206200000000000e-03 3.400000000000000e-01 - 28 DIS_NCP 1.520000000000000e-04 5.000000000000000e+00 6.500000000000000e-01 9.700000000000000e-01 1.639300000000000e-02 2.260100000000000e-02 2.330000000000000e+00 3.880000000000000e-02 4.000000000000000e+00 2.037000000000000e-03 2.100000000000000e-01 1.086400000000000e-02 1.120000000000000e+00 1.493800000000000e-02 1.540000000000000e+00 2.075800000000000e-02 2.140000000000000e+00 -6.790000000000000e-04 -7.000000000000001e-02 3.783000000000000e-03 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3.600000000000000e-02 4.000000000000000e+00 2.925000000000000e-02 3.250000000000000e+00 1.044000000000000e-02 1.160000000000000e+00 1.485000000000000e-02 1.650000000000000e+00 1.854000000000000e-02 2.060000000000000e+00 -8.100000000000001e-04 -9.000000000000000e-02 6.840000000000001e-03 7.600000000000000e-01 1.170000000000000e-03 1.300000000000000e-01 3.060000000000001e-03 3.400000000000000e-01 - 33 DIS_NCP 1.350000000000000e-04 6.500000000000000e+00 7.600000000000000e-01 9.880000000000000e-01 3.448120000000000e-02 2.815800000000000e-02 2.850000000000000e+00 3.952000000000000e-02 4.000000000000000e+00 5.532800000000000e-03 5.600000000000001e-01 1.146080000000000e-02 1.160000000000000e+00 1.570920000000000e-02 1.590000000000000e+00 2.064920000000000e-02 2.090000000000000e+00 -8.892000000000000e-04 -9.000000000000000e-02 9.682400000000001e-03 9.800000000000000e-01 3.359200000000000e-03 3.400000000000000e-01 3.359200000000000e-03 3.400000000000000e-01 - 34 DIS_NCP 1.510000000000000e-04 6.500000000000000e+00 8.500000000000000e-01 1.037000000000000e+00 4.417619999999999e-02 4.168740000000000e-02 4.020000000000000e+00 4.148000000000000e-02 4.000000000000000e+00 2.665090000000000e-02 2.570000000000000e+00 1.254770000000000e-02 1.210000000000000e+00 1.794010000000000e-02 1.730000000000000e+00 2.084370000000000e-02 2.010000000000000e+00 -8.295999999999999e-04 -8.000000000000000e-02 1.254770000000000e-02 1.210000000000000e+00 2.488800000000000e-03 2.400000000000000e-01 -3.525800000000000e-03 -3.400000000000000e-01 - 35 DIS_NCP 1.510000000000000e-04 6.500000000000000e+00 6.800000000000000e-01 1.065000000000000e+00 2.726400000000000e-02 2.502750000000000e-02 2.350000000000000e+00 4.260000000000000e-02 4.000000000000000e+00 2.236500000000000e-03 2.100000000000000e-01 1.203450000000000e-02 1.130000000000000e+00 1.704000000000000e-02 1.600000000000000e+00 2.225850000000000e-02 2.090000000000000e+00 -8.520000000000000e-04 -8.000000000000000e-02 1.001100000000000e-02 9.399999999999999e-01 4.579499999999999e-03 4.300000000000000e-01 3.621000000000001e-03 3.400000000000000e-01 - 36 DIS_NCP 1.710000000000000e-04 6.500000000000000e+00 7.500000000000000e-01 9.600000000000000e-01 2.064000000000000e-02 2.688000000000000e-02 2.800000000000000e+00 3.840000000000000e-02 4.000000000000000e+00 4.896000000000000e-03 5.100000000000000e-01 1.113600000000000e-02 1.160000000000000e+00 1.622400000000000e-02 1.690000000000000e+00 1.958400000000000e-02 2.040000000000000e+00 -7.679999999999999e-04 -8.000000000000000e-02 9.888000000000001e-03 1.030000000000000e+00 3.456000000000000e-03 3.600000000000000e-01 -3.264000000000000e-03 -3.400000000000000e-01 - 37 DIS_NCP 1.710000000000000e-04 6.500000000000000e+00 6.000000000000000e-01 1.045000000000000e+00 2.403500000000000e-02 2.424400000000000e-02 2.320000000000000e+00 4.180000000000000e-02 4.000000000000000e+00 1.149500000000000e-03 1.100000000000000e-01 1.107700000000000e-02 1.060000000000000e+00 1.515250000000000e-02 1.450000000000000e+00 2.288550000000000e-02 2.190000000000000e+00 -8.359999999999999e-04 -8.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 7.941999999999999e-03 7.600000000000000e-01 3.553000000000000e-03 3.400000000000000e-01 - 38 DIS_NCP 1.970000000000000e-04 6.500000000000000e+00 6.500000000000000e-01 1.010000000000000e+00 1.616000000000000e-02 2.323000000000000e-02 2.300000000000000e+00 4.040000000000000e-02 4.000000000000000e+00 1.717000000000000e-03 1.700000000000000e-01 1.100900000000000e-02 1.090000000000000e+00 1.525100000000000e-02 1.510000000000000e+00 2.191700000000000e-02 2.170000000000000e+00 -8.080000000000000e-04 -8.000000000000000e-02 6.767000000000001e-03 6.700000000000000e-01 2.828000000000001e-03 2.800000000000000e-01 -3.434000000000000e-03 -3.400000000000000e-01 - 39 DIS_NCP 1.970000000000000e-04 6.500000000000000e+00 5.200000000000000e-01 1.102000000000000e+00 2.259100000000000e-02 2.159920000000000e-02 1.960000000000000e+00 4.408000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.157100000000000e-02 1.050000000000000e+00 1.608920000000000e-02 1.460000000000000e+00 2.435420000000000e-02 2.210000000000000e+00 1.983600000000000e-03 1.800000000000000e-01 5.179400000000001e-03 4.700000000000000e-01 5.510000000000000e-03 5.000000000000000e-01 3.746800000000001e-03 3.400000000000000e-01 - 40 DIS_NCP 2.620000000000000e-04 6.500000000000000e+00 4.900000000000000e-01 1.011000000000000e+00 9.098999999999999e-03 1.840020000000000e-02 1.820000000000000e+00 4.044000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.091880000000000e-02 1.080000000000000e+00 1.496280000000000e-02 1.480000000000000e+00 2.234310000000000e-02 2.210000000000000e+00 3.235200000000000e-03 3.200000000000000e-01 6.369300000000000e-03 6.300000000000000e-01 5.055000000000000e-03 5.000000000000000e-01 -3.437400000000000e-03 -3.400000000000000e-01 - 41 DIS_NCP 2.620000000000000e-04 6.500000000000000e+00 3.920000000000000e-01 9.980000000000000e-01 1.377240000000000e-02 1.826340000000000e-02 1.830000000000000e+00 3.992000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.037920000000000e-02 1.040000000000000e+00 1.357280000000000e-02 1.360000000000000e+00 2.255480000000000e-02 2.260000000000000e+00 1.197600000000000e-03 1.200000000000000e-01 3.293400000000000e-03 3.300000000000000e-01 7.484999999999999e-03 7.500000000000000e-01 3.393200000000000e-03 3.400000000000000e-01 - 42 DIS_NCP 4.140000000000000e-04 6.500000000000000e+00 2.480000000000000e-01 9.730000000000000e-01 1.099490000000000e-02 1.809780000000000e-02 1.860000000000000e+00 3.892000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.632699999999999e-03 9.900000000000000e-01 1.196790000000000e-02 1.230000000000000e+00 2.267090000000000e-02 2.330000000000000e+00 -6.811000000000000e-04 -7.000000000000001e-02 2.627100000000000e-03 2.700000000000000e-01 9.146199999999998e-03 9.399999999999999e-01 -3.210900000000000e-03 -3.300000000000000e-01 - 43 DIS_NCP 1.580000000000000e-04 8.500000000000000e+00 8.480000000000000e-01 9.720000000000000e-01 6.910920000000000e-02 3.888000000000000e-02 4.000000000000000e+00 3.888000000000000e-02 4.000000000000000e+00 3.392280000000000e-02 3.490000000000000e+00 1.088640000000000e-02 1.120000000000000e+00 1.564920000000000e-02 1.610000000000000e+00 2.041200000000000e-02 2.100000000000000e+00 -5.832000000000000e-04 -6.000000000000000e-02 1.545480000000000e-02 1.590000000000000e+00 1.399680000000000e-02 1.440000000000000e+00 3.304800000000000e-03 3.400000000000000e-01 - 44 DIS_NCP 1.770000000000000e-04 8.500000000000000e+00 7.600000000000000e-01 1.067000000000000e+00 4.075939999999999e-02 3.094300000000000e-02 2.900000000000000e+00 4.268000000000000e-02 4.000000000000000e+00 6.615400000000000e-03 6.200000000000000e-01 1.152360000000000e-02 1.080000000000000e+00 1.664520000000000e-02 1.560000000000000e+00 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4.000000000000000e+00 2.067200000000000e-03 1.900000000000000e-01 1.175040000000000e-02 1.080000000000000e+00 1.664640000000000e-02 1.530000000000000e+00 2.339200000000000e-02 2.150000000000000e+00 -8.704000000000001e-04 -8.000000000000000e-02 9.900800000000001e-03 9.100000000000000e-01 7.616000000000000e-03 7.000000000000000e-01 3.699200000000000e-03 3.400000000000000e-01 - 47 DIS_NCP 2.240000000000000e-04 8.500000000000000e+00 7.500000000000000e-01 1.010000000000000e+00 2.403800000000000e-02 2.868400000000000e-02 2.840000000000000e+00 4.040000000000000e-02 4.000000000000000e+00 5.959000000000000e-03 5.900000000000000e-01 1.121100000000000e-02 1.110000000000000e+00 1.504900000000000e-02 1.490000000000000e+00 2.201800000000000e-02 2.180000000000000e+00 -8.080000000000000e-04 -8.000000000000000e-02 1.131200000000000e-02 1.120000000000000e+00 2.727000000000000e-03 2.700000000000000e-01 -3.434000000000000e-03 -3.400000000000000e-01 - 48 DIS_NCP 2.240000000000000e-04 8.500000000000000e+00 6.000000000000000e-01 1.099000000000000e+00 2.549680000000000e-02 2.560670000000000e-02 2.330000000000000e+00 4.396000000000000e-02 4.000000000000000e+00 9.890999999999999e-04 9.000000000000000e-02 1.153950000000000e-02 1.050000000000000e+00 1.593550000000000e-02 1.450000000000000e+00 2.428790000000000e-02 2.210000000000000e+00 -9.890999999999999e-04 -9.000000000000000e-02 8.352399999999999e-03 7.600000000000000e-01 7.693000000000001e-04 7.000000000000001e-02 3.736600000000000e-03 3.400000000000000e-01 - 49 DIS_NCP 2.580000000000000e-04 8.500000000000000e+00 6.500000000000000e-01 1.090000000000000e+00 1.809400000000000e-02 2.528800000000000e-02 2.320000000000000e+00 4.360000000000001e-02 4.000000000000000e+00 1.635000000000000e-03 1.500000000000000e-01 1.177200000000000e-02 1.080000000000000e+00 1.624100000000000e-02 1.490000000000000e+00 2.387100000000000e-02 2.190000000000000e+00 -8.720000000000002e-04 -8.000000000000000e-02 1.515100000000000e-02 1.390000000000000e+00 6.649000000000000e-03 6.100000000000000e-01 -3.597000000000000e-03 -3.300000000000000e-01 - 50 DIS_NCP 2.580000000000000e-04 8.500000000000000e+00 5.200000000000000e-01 1.030000000000000e+00 2.090900000000000e-02 1.987900000000000e-02 1.930000000000000e+00 4.120000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.112400000000000e-02 1.080000000000000e+00 1.514100000000000e-02 1.470000000000000e+00 2.286600000000000e-02 2.220000000000000e+00 7.519000000000001e-03 7.300000000000000e-01 8.033999999999999e-03 7.800000000000000e-01 5.870999999999999e-03 5.700000000000000e-01 3.502000000000000e-03 3.400000000000000e-01 - 51 DIS_NCP 3.420000000000000e-04 8.500000000000000e+00 4.900000000000000e-01 1.054000000000000e+00 8.959000000000000e-03 1.907740000000000e-02 1.810000000000000e+00 4.216000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.127780000000000e-02 1.070000000000000e+00 1.549380000000000e-02 1.470000000000000e+00 2.329340000000000e-02 2.210000000000000e+00 2.424200000000000e-03 2.300000000000000e-01 6.956400000000001e-03 6.600000000000000e-01 6.113200000000000e-03 5.800000000000000e-01 -3.583600000000001e-03 -3.400000000000000e-01 - 52 DIS_NCP 3.420000000000000e-04 8.500000000000000e+00 3.920000000000000e-01 1.083000000000000e+00 1.299600000000000e-02 1.960230000000000e-02 1.810000000000000e+00 4.332000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.126320000000000e-02 1.040000000000000e+00 1.462050000000000e-02 1.350000000000000e+00 2.447580000000000e-02 2.260000000000000e+00 -6.498000000000000e-04 -6.000000000000000e-02 3.465600000000000e-03 3.200000000000000e-01 5.415000000000000e-03 5.000000000000000e-01 3.682200000000000e-03 3.400000000000000e-01 - 53 DIS_NCP 5.410000000000000e-04 8.500000000000000e+00 2.480000000000000e-01 1.020000000000000e+00 7.854000000000000e-03 1.315800000000000e-02 1.290000000000000e+00 4.080000000000000e-02 4.000000000000000e+00 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9.600000000000000e-02 8.460000000000000e-01 9.813599999999999e-03 1.218240000000000e-02 1.440000000000000e+00 3.384000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.375400000000000e-03 9.900000000000000e-01 1.049040000000000e-02 1.240000000000000e+00 1.988100000000000e-02 2.350000000000000e+00 -3.384000000000000e-04 -4.000000000000000e-02 2.707200000000000e-03 3.200000000000000e-01 8.460000000000001e-03 1.000000000000000e+00 -1.015200000000000e-03 -1.200000000000000e-01 - 56 DIS_NCP 2.230000000000000e-04 1.200000000000000e+01 8.480000000000000e-01 1.234000000000000e+00 6.811679999999999e-02 4.936000000000000e-02 4.000000000000000e+00 4.936000000000000e-02 4.000000000000000e+00 2.764160000000001e-02 2.240000000000000e+00 1.295700000000000e-02 1.050000000000000e+00 2.147160000000000e-02 1.740000000000000e+00 2.542040000000000e-02 2.060000000000000e+00 -7.404000000000000e-04 -6.000000000000000e-02 1.517820000000000e-02 1.230000000000000e+00 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6.500000000000000e-01 1.098000000000000e+00 2.042280000000000e-02 2.591280000000000e-02 2.360000000000000e+00 4.392000000000001e-02 4.000000000000000e+00 1.976400000000000e-03 1.800000000000000e-01 1.174860000000000e-02 1.070000000000000e+00 1.636020000000000e-02 1.490000000000000e+00 2.404620000000000e-02 2.190000000000000e+00 -9.882000000000001e-04 -9.000000000000000e-02 9.333000000000001e-03 8.500000000000000e-01 9.882000000000001e-04 9.000000000000000e-02 -3.733200000000000e-03 -3.400000000000000e-01 - 63 DIS_NCP 3.640000000000000e-04 1.200000000000000e+01 5.200000000000000e-01 1.171000000000000e+00 2.482520000000000e-02 2.295160000000000e-02 1.960000000000000e+00 4.684000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.229550000000000e-02 1.050000000000000e+00 1.733080000000000e-02 1.480000000000000e+00 2.576200000000001e-02 2.200000000000000e+00 3.513000000000000e-03 3.000000000000000e-01 7.728600000000001e-03 6.600000000000000e-01 -5.855000000000001e-04 -5.000000000000000e-02 3.981400000000000e-03 3.400000000000000e-01 - 64 DIS_NCP 4.830000000000000e-04 1.200000000000000e+01 4.900000000000000e-01 1.111000000000000e+00 9.887900000000002e-03 2.010910000000000e-02 1.810000000000000e+00 4.444000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.166550000000000e-02 1.050000000000000e+00 1.577620000000000e-02 1.420000000000000e+00 2.488640000000000e-02 2.240000000000000e+00 8.888000000000000e-04 8.000000000000000e-02 1.022120000000000e-02 9.200000000000000e-01 4.444000000000000e-04 4.000000000000000e-02 -3.777400000000000e-03 -3.400000000000000e-01 - 65 DIS_NCP 4.830000000000000e-04 1.200000000000000e+01 3.920000000000000e-01 1.123000000000000e+00 1.336370000000000e-02 2.032630000000000e-02 1.810000000000000e+00 4.492000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.145460000000000e-02 1.020000000000000e+00 1.471130000000000e-02 1.310000000000000e+00 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8.480000000000000e-01 1.106000000000000e+00 6.989920000000001e-02 4.468240000000000e-02 4.040000000000000e+00 4.424000000000000e-02 4.000000000000000e+00 2.223060000000000e-02 2.010000000000000e+00 1.227660000000000e-02 1.110000000000000e+00 1.835960000000000e-02 1.660000000000000e+00 2.289420000000000e-02 2.070000000000000e+00 -7.742000000000002e-04 -7.000000000000001e-02 1.106000000000000e-02 1.000000000000000e+00 9.511600000000002e-03 8.600000000000000e-01 3.760400000000001e-03 3.400000000000000e-01 - 70 DIS_NCP 3.120000000000000e-04 1.500000000000000e+01 7.600000000000000e-01 1.290000000000000e+00 4.398900000000000e-02 3.741000000000000e-02 2.900000000000000e+00 5.160000000000000e-02 4.000000000000000e+00 6.192000000000000e-03 4.800000000000000e-01 1.406100000000000e-02 1.090000000000000e+00 2.076900000000000e-02 1.610000000000000e+00 2.709000000000000e-02 2.100000000000000e+00 -1.161000000000000e-03 -9.000000000000000e-02 6.192000000000000e-03 4.800000000000000e-01 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1.728000000000000e-03 1.500000000000000e-01 1.198080000000000e-02 1.040000000000000e+00 1.739520000000000e-02 1.510000000000000e+00 2.511360000000000e-02 2.180000000000000e+00 -1.152000000000000e-03 -1.000000000000000e-01 8.755199999999999e-03 7.600000000000000e-01 -1.843200000000000e-03 -1.600000000000000e-01 3.916800000000000e-03 3.400000000000000e-01 - 75 DIS_NCP 4.550000000000000e-04 1.500000000000000e+01 6.500000000000000e-01 1.141000000000000e+00 2.339050000000000e-02 2.738400000000000e-02 2.400000000000000e+00 4.564000000000000e-02 4.000000000000000e+00 2.738400000000000e-03 2.400000000000000e-01 1.220870000000000e-02 1.070000000000000e+00 1.734320000000000e-02 1.520000000000000e+00 2.487380000000000e-02 2.180000000000000e+00 -9.128000000000001e-04 -8.000000000000000e-02 1.357790000000000e-02 1.190000000000000e+00 4.335800000000000e-03 3.800000000000000e-01 -3.765300000000001e-03 -3.300000000000000e-01 - 76 DIS_NCP 4.550000000000000e-04 1.500000000000000e+01 5.200000000000000e-01 1.250000000000000e+00 2.912500000000000e-02 2.512500000000000e-02 2.010000000000000e+00 5.000000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.300000000000000e-02 1.040000000000000e+00 1.825000000000000e-02 1.460000000000000e+00 2.762500000000000e-02 2.210000000000000e+00 2.125000000000000e-03 1.700000000000000e-01 9.625000000000000e-03 7.700000000000000e-01 2.000000000000000e-03 1.600000000000000e-01 4.250000000000000e-03 3.400000000000000e-01 - 77 DIS_NCP 6.040000000000000e-04 1.500000000000000e+01 4.900000000000000e-01 1.165000000000000e+00 1.118400000000000e-02 2.131950000000000e-02 1.830000000000000e+00 4.660000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.211600000000000e-02 1.040000000000000e+00 1.700900000000000e-02 1.460000000000000e+00 2.586300000000000e-02 2.220000000000000e+00 5.825000000000000e-04 5.000000000000000e-02 9.786000000000001e-03 8.400000000000000e-01 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7.600000000000000e-01 1.242000000000000e+00 4.545720000000000e-02 3.639060000000000e-02 2.930000000000000e+00 4.968000000000000e-02 4.000000000000000e+00 5.216400000000000e-03 4.200000000000000e-01 1.316520000000000e-02 1.060000000000000e+00 1.912680000000000e-02 1.540000000000000e+00 2.670300000000000e-02 2.150000000000000e+00 -9.936000000000001e-04 -8.000000000000000e-02 6.831000000000000e-03 5.500000000000000e-01 6.582600000000001e-03 5.300000000000000e-01 4.222800000000001e-03 3.400000000000000e-01 - 84 DIS_NCP 4.640000000000000e-04 2.000000000000000e+01 8.500000000000000e-01 1.006000000000000e+00 5.361980000000000e-02 4.235260000000000e-02 4.210000000000000e+00 4.024000000000000e-02 4.000000000000000e+00 1.478820000000000e-02 1.470000000000000e+00 1.166960000000000e-02 1.160000000000000e+00 1.770560000000000e-02 1.760000000000000e+00 2.022060000000000e-02 2.010000000000000e+00 -7.042000000000001e-04 -7.000000000000001e-02 1.136780000000000e-02 1.130000000000000e+00 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4.900000000000000e-01 1.169000000000000e+00 1.239140000000000e-02 2.162650000000000e-02 1.850000000000000e+00 4.676000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.215760000000000e-02 1.040000000000000e+00 1.624910000000000e-02 1.390000000000000e+00 2.641940000000000e-02 2.260000000000000e+00 1.987300000000000e-03 1.700000000000000e-01 1.227450000000000e-02 1.050000000000000e+00 3.740800000000000e-03 3.200000000000000e-01 -3.974600000000000e-03 -3.400000000000000e-01 - 91 DIS_NCP 8.050000000000001e-04 2.000000000000000e+01 3.920000000000000e-01 1.207000000000000e+00 1.701870000000000e-02 2.220880000000000e-02 1.840000000000000e+00 4.828000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.231140000000000e-02 1.020000000000000e+00 1.629450000000000e-02 1.350000000000000e+00 2.739890000000000e-02 2.270000000000000e+00 -8.449000000000001e-04 -7.000000000000001e-02 9.414600000000000e-03 7.800000000000000e-01 -1.448400000000000e-03 -1.200000000000000e-01 4.103800000000001e-03 3.400000000000000e-01 - 92 DIS_NCP 1.270000000000000e-03 2.000000000000000e+01 2.480000000000000e-01 1.094000000000000e+00 9.080200000000000e-03 1.422200000000000e-02 1.300000000000000e+00 4.376000000000001e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.072120000000000e-02 9.800000000000000e-01 1.345620000000000e-02 1.230000000000000e+00 2.559960000000000e-02 2.340000000000000e+00 -9.846000000000000e-04 -9.000000000000000e-02 9.846000000000002e-03 9.000000000000000e-01 6.564000000000000e-04 6.000000000000000e-02 -3.282000000000000e-04 -3.000000000000000e-02 - 93 DIS_NCP 1.970000000000000e-03 2.000000000000000e+01 1.600000000000000e-01 9.850000000000000e-01 8.372500000000000e-03 1.290350000000000e-02 1.310000000000000e+00 3.940000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.653000000000000e-03 9.800000000000000e-01 1.221400000000000e-02 1.240000000000000e+00 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4.000000000000000e+00 5.921999999999999e-03 4.700000000000000e-01 1.348200000000000e-02 1.070000000000000e+00 1.978200000000000e-02 1.570000000000000e+00 2.683800000000000e-02 2.130000000000000e+00 -1.134000000000000e-03 -9.000000000000000e-02 3.402000000000000e-03 2.700000000000000e-01 2.898000000000000e-03 2.300000000000000e-01 4.284000000000000e-03 3.400000000000000e-01 - 96 DIS_NCP 6.160000000000000e-04 2.500000000000000e+01 8.000000000000000e-01 1.210000000000000e+00 2.928200000000000e-02 3.557400000000000e-02 2.940000000000000e+00 4.840000000000000e-02 4.000000000000000e+00 4.356000000000000e-03 3.600000000000000e-01 1.246300000000000e-02 1.030000000000000e+00 1.923900000000000e-02 1.590000000000000e+00 2.613600000000000e-02 2.160000000000000e+00 -1.210000000000000e-03 -1.000000000000000e-01 1.028500000000000e-02 8.500000000000000e-01 -3.630000000000000e-03 -3.000000000000000e-01 -4.114000000000000e-03 -3.400000000000000e-01 - 97 DIS_NCP 6.160000000000000e-04 2.500000000000000e+01 6.400000000000000e-01 1.268000000000000e+00 2.776920000000000e-02 3.119280000000000e-02 2.460000000000000e+00 5.072000000000000e-02 4.000000000000000e+00 1.521600000000000e-03 1.200000000000000e-01 1.280680000000000e-02 1.010000000000000e+00 1.927360000000000e-02 1.520000000000000e+00 2.764240000000000e-02 2.180000000000000e+00 -1.268000000000000e-03 -1.000000000000000e-01 5.579199999999999e-03 4.400000000000000e-01 1.014400000000000e-03 8.000000000000000e-02 4.311200000000000e-03 3.400000000000000e-01 - 98 DIS_NCP 7.590000000000000e-04 2.500000000000000e+01 6.500000000000000e-01 1.240000000000000e+00 2.480000000000000e-02 3.013200000000000e-02 2.430000000000000e+00 4.960000000000000e-02 4.000000000000000e+00 1.364000000000000e-03 1.100000000000000e-01 1.264800000000000e-02 1.020000000000000e+00 1.785600000000000e-02 1.440000000000000e+00 2.765200000000000e-02 2.230000000000000e+00 -1.364000000000000e-03 -1.100000000000000e-01 5.704000000000000e-03 4.600000000000000e-01 -5.828000000000000e-03 -4.700000000000000e-01 -4.216000000000000e-03 -3.400000000000000e-01 - 99 DIS_NCP 7.590000000000000e-04 2.500000000000000e+01 5.200000000000000e-01 1.216000000000000e+00 3.173760000000000e-02 2.504960000000000e-02 2.060000000000000e+00 4.864000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.240320000000000e-02 1.020000000000000e+00 1.775360000000000e-02 1.460000000000000e+00 2.711680000000000e-02 2.230000000000000e+00 2.675200000000000e-03 2.200000000000000e-01 8.390399999999999e-03 6.899999999999999e-01 5.593600000000000e-03 4.600000000000000e-01 4.134400000000001e-03 3.400000000000000e-01 - 100 DIS_NCP 1.010000000000000e-03 2.500000000000000e+01 4.900000000000000e-01 1.193000000000000e+00 1.312300000000000e-02 2.218980000000000e-02 1.860000000000000e+00 4.772000000000001e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.252650000000000e-02 1.050000000000000e+00 1.741780000000000e-02 1.460000000000000e+00 2.660390000000000e-02 2.230000000000000e+00 2.147400000000000e-03 1.800000000000000e-01 1.121420000000000e-02 9.399999999999999e-01 3.579000000000000e-03 3.000000000000000e-01 -4.056200000000000e-03 -3.400000000000000e-01 - 101 DIS_NCP 1.010000000000000e-03 2.500000000000000e+01 3.920000000000000e-01 1.223000000000000e+00 1.883420000000000e-02 2.274780000000000e-02 1.860000000000000e+00 4.892000000000001e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.259690000000000e-02 1.030000000000000e+00 1.626590000000000e-02 1.330000000000000e+00 2.788440000000000e-02 2.280000000000000e+00 1.223000000000000e-04 1.000000000000000e-02 9.294800000000001e-03 7.600000000000000e-01 -7.338000000000001e-04 -6.000000000000000e-02 4.158200000000001e-03 3.400000000000000e-01 - 102 DIS_NCP 1.590000000000000e-03 2.500000000000000e+01 2.480000000000000e-01 1.106000000000000e+00 1.028580000000000e-02 1.470980000000000e-02 1.330000000000000e+00 4.424000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.094940000000000e-02 9.900000000000000e-01 1.371440000000000e-02 1.240000000000000e+00 2.588040000000000e-02 2.340000000000000e+00 -8.848000000000000e-04 -8.000000000000000e-02 8.184400000000001e-03 7.400000000000000e-01 1.327200000000000e-03 1.200000000000000e-01 -4.424000000000000e-04 -4.000000000000000e-02 - 103 DIS_NCP 2.470000000000000e-03 2.500000000000000e+01 1.600000000000000e-01 1.001000000000000e+00 9.509499999999999e-03 1.341340000000000e-02 1.340000000000000e+00 4.004000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.809799999999999e-03 9.800000000000000e-01 1.241240000000000e-02 1.240000000000000e+00 2.352350000000000e-02 2.350000000000000e+00 -8.007999999999999e-04 -8.000000000000000e-02 1.211210000000000e-02 1.210000000000000e+00 1.401400000000000e-03 1.400000000000000e-01 -4.004000000000000e-04 -4.000000000000000e-02 - 104 DIS_NCP 4.110000000000000e-03 2.500000000000000e+01 9.600000000000000e-02 8.680000000000000e-01 1.058960000000000e-02 1.275960000000000e-02 1.470000000000000e+00 3.472000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.593200000000000e-03 9.900000000000000e-01 1.076320000000000e-02 1.240000000000000e+00 2.039800000000000e-02 2.350000000000000e+00 -8.680000000000001e-04 -1.000000000000000e-01 9.374400000000001e-03 1.080000000000000e+00 -5.208000000000000e-04 -6.000000000000000e-02 -1.041600000000000e-03 -1.200000000000000e-01 - 105 DIS_NCP 7.270000000000000e-04 3.500000000000000e+01 7.600000000000000e-01 1.434000000000000e+00 9.005520000000000e-02 5.334480000000000e-02 3.720000000000000e+00 5.736000000000000e-02 4.000000000000000e+00 3.154800000000000e-03 2.200000000000000e-01 1.462680000000000e-02 1.020000000000000e+00 2.194020000000000e-02 1.530000000000000e+00 3.083100000000000e-02 2.150000000000000e+00 -1.720800000000000e-03 -1.200000000000000e-01 -1.964580000000000e-02 -1.370000000000000e+00 -1.448340000000000e-02 -1.010000000000000e+00 4.875600000000000e-03 3.400000000000000e-01 - 106 DIS_NCP 8.120000000000000e-04 3.500000000000000e+01 6.800000000000000e-01 1.359000000000000e+00 4.783680000000001e-02 3.533400000000000e-02 2.600000000000000e+00 5.436000000000000e-02 4.000000000000000e+00 1.087200000000000e-03 8.000000000000000e-02 1.426950000000000e-02 1.050000000000000e+00 2.106450000000000e-02 1.550000000000000e+00 2.921850000000000e-02 2.150000000000000e+00 -1.087200000000000e-03 -8.000000000000000e-02 1.263870000000000e-02 9.300000000000000e-01 5.843699999999999e-03 4.300000000000000e-01 4.620600000000001e-03 3.400000000000000e-01 - 107 DIS_NCP 9.210000000000001e-04 3.500000000000000e+01 7.500000000000000e-01 1.110000000000000e+00 4.251300000000001e-02 3.685200000000000e-02 3.320000000000000e+00 4.440000000000000e-02 4.000000000000000e+00 2.109000000000000e-03 1.900000000000000e-01 1.121100000000000e-02 1.010000000000000e+00 1.898100000000000e-02 1.710000000000000e+00 2.331000000000000e-02 2.100000000000000e+00 -6.660000000000000e-04 -6.000000000000000e-02 7.104000000000000e-03 6.400000000000000e-01 1.343100000000000e-02 1.210000000000000e+00 -3.774000000000001e-03 -3.400000000000000e-01 - 108 DIS_NCP 9.210000000000001e-04 3.500000000000000e+01 6.000000000000000e-01 1.338000000000000e+00 4.187940000000000e-02 3.371760000000000e-02 2.520000000000000e+00 5.352000000000001e-02 4.000000000000000e+00 8.028000000000001e-04 6.000000000000000e-02 1.364760000000000e-02 1.020000000000000e+00 2.020380000000000e-02 1.510000000000000e+00 2.930220000000000e-02 2.190000000000000e+00 -1.338000000000000e-03 -1.000000000000000e-01 8.295600000000000e-03 6.200000000000000e-01 -2.007000000000000e-03 -1.500000000000000e-01 4.549200000000001e-03 3.400000000000000e-01 - 109 DIS_NCP 1.060000000000000e-03 3.500000000000000e+01 6.500000000000000e-01 1.228000000000000e+00 2.738440000000000e-02 3.070000000000000e-02 2.500000000000000e+00 4.912000000000000e-02 4.000000000000000e+00 8.596000000000001e-04 7.000000000000001e-02 1.240280000000000e-02 1.010000000000000e+00 1.768320000000000e-02 1.440000000000000e+00 2.763000000000000e-02 2.250000000000000e+00 -1.105200000000000e-03 -9.000000000000000e-02 1.363080000000000e-02 1.110000000000000e+00 3.561200000000000e-03 2.900000000000000e-01 -4.175200000000000e-03 -3.400000000000000e-01 - 110 DIS_NCP 1.060000000000000e-03 3.500000000000000e+01 5.200000000000000e-01 1.309000000000000e+00 3.586660000000001e-02 2.761990000000000e-02 2.110000000000000e+00 5.236000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.361360000000000e-02 1.040000000000000e+00 1.858780000000000e-02 1.420000000000000e+00 2.919070000000000e-02 2.230000000000000e+00 2.618000000000000e-04 2.000000000000000e-02 1.178100000000000e-02 9.000000000000000e-01 3.403400000000000e-03 2.600000000000000e-01 4.450600000000000e-03 3.400000000000000e-01 - 111 DIS_NCP 1.410000000000000e-03 3.500000000000000e+01 4.900000000000000e-01 1.198000000000000e+00 1.365720000000000e-02 2.240260000000000e-02 1.870000000000000e+00 4.792000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.233940000000000e-02 1.030000000000000e+00 1.749080000000000e-02 1.460000000000000e+00 2.671540000000000e-02 2.230000000000000e+00 1.317800000000000e-03 1.100000000000000e-01 9.584000000000001e-03 8.000000000000000e-01 1.677200000000000e-03 1.400000000000000e-01 -4.073200000000000e-03 -3.400000000000000e-01 - 112 DIS_NCP 1.410000000000000e-03 3.500000000000000e+01 3.920000000000000e-01 1.250000000000000e+00 1.937500000000000e-02 2.337500000000000e-02 1.870000000000000e+00 5.000000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.300000000000000e-02 1.040000000000000e+00 1.675000000000000e-02 1.340000000000000e+00 2.837500000000000e-02 2.270000000000000e+00 -1.125000000000000e-03 -9.000000000000000e-02 8.000000000000000e-03 6.400000000000000e-01 1.125000000000000e-03 9.000000000000000e-02 4.250000000000000e-03 3.400000000000000e-01 - 113 DIS_NCP 2.230000000000000e-03 3.500000000000000e+01 2.480000000000000e-01 1.100000000000000e+00 1.078000000000000e-02 1.474000000000000e-02 1.340000000000000e+00 4.400000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.089000000000000e-02 9.900000000000000e-01 1.364000000000000e-02 1.240000000000000e+00 2.574000000000000e-02 2.340000000000000e+00 -9.900000000000000e-04 -9.000000000000000e-02 7.260000000000001e-03 6.600000000000000e-01 -9.900000000000000e-04 -9.000000000000000e-02 -5.500000000000000e-04 -5.000000000000000e-02 - 114 DIS_NCP 3.450000000000000e-03 3.500000000000000e+01 1.600000000000000e-01 9.770000000000000e-01 1.045390000000000e-02 1.328720000000000e-02 1.360000000000000e+00 3.908000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.574600000000001e-03 9.800000000000000e-01 1.211480000000000e-02 1.240000000000000e+00 2.295950000000000e-02 2.350000000000000e+00 -1.074700000000000e-03 -1.100000000000000e-01 6.350500000000000e-03 6.500000000000000e-01 -3.321800000000000e-03 -3.400000000000000e-01 -4.885000000000000e-04 -5.000000000000000e-02 - 115 DIS_NCP 5.750000000000000e-03 3.500000000000000e+01 9.600000000000000e-02 8.490000000000000e-01 1.154640000000000e-02 1.290480000000000e-02 1.520000000000000e+00 3.396000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.405100000000000e-03 9.900000000000000e-01 1.052760000000000e-02 1.240000000000000e+00 2.003640000000000e-02 2.360000000000000e+00 -6.791999999999999e-04 -8.000000000000000e-02 1.248030000000000e-02 1.470000000000000e+00 5.178899999999999e-03 6.100000000000000e-01 -1.103700000000000e-03 -1.300000000000000e-01 - 116 DIS_NCP 1.040000000000000e-03 4.500000000000000e+01 6.800000000000000e-01 1.270000000000000e+00 8.089900000000000e-02 4.343400000000000e-02 3.420000000000000e+00 5.080000000000000e-02 4.000000000000000e+00 7.620000000000001e-04 6.000000000000000e-02 1.244600000000000e-02 9.800000000000000e-01 1.790700000000000e-02 1.410000000000000e+00 2.857500000000000e-02 2.250000000000000e+00 -1.270000000000000e-03 -1.000000000000000e-01 3.810000000000000e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 4.318000000000001e-03 3.400000000000000e-01 - 117 DIS_NCP 1.180000000000000e-03 4.500000000000000e+01 6.000000000000000e-01 1.262000000000000e+00 4.808220000000001e-02 3.382160000000000e-02 2.680000000000000e+00 5.048000000000000e-02 4.000000000000000e+00 5.048000000000000e-04 4.000000000000000e-02 1.299860000000000e-02 1.030000000000000e+00 1.968720000000000e-02 1.560000000000000e+00 2.713300000000000e-02 2.150000000000000e+00 -1.262000000000000e-03 -1.000000000000000e-01 6.562400000000000e-03 5.200000000000000e-01 -8.834000000000002e-04 -7.000000000000001e-02 4.290800000000000e-03 3.400000000000000e-01 - 118 DIS_NCP 1.370000000000000e-03 4.500000000000000e+01 6.500000000000000e-01 1.261000000000000e+00 3.946930000000000e-02 3.581239999999999e-02 2.840000000000000e+00 5.044000000000000e-02 4.000000000000000e+00 7.566000000000000e-04 6.000000000000000e-02 1.273610000000000e-02 1.010000000000000e+00 1.815840000000000e-02 1.440000000000000e+00 2.824640000000000e-02 2.240000000000000e+00 -1.261000000000000e-03 -1.000000000000000e-01 4.539600000000000e-03 3.600000000000000e-01 -4.791800000000000e-03 -3.800000000000000e-01 -4.287400000000000e-03 -3.400000000000000e-01 - 119 DIS_NCP 1.370000000000000e-03 4.500000000000000e+01 5.200000000000000e-01 1.287000000000000e+00 3.963960000000000e-02 2.831400000000000e-02 2.200000000000000e+00 5.148000000000000e-02 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.287000000000000e-02 1.000000000000000e+00 1.866150000000000e-02 1.450000000000000e+00 2.870010000000000e-02 2.230000000000000e+00 6.435000000000001e-04 5.000000000000000e-02 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0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_H1HERA2NCEP.dat b/nnpdfcpp/data/commondata/DATA_H1HERA2NCEP.dat deleted file mode 100644 index df5f6bd53d..0000000000 --- a/nnpdfcpp/data/commondata/DATA_H1HERA2NCEP.dat +++ /dev/null @@ -1,139 +0,0 @@ -H1HERA2NCEP 11 138 - 1 DIS_NCP 2.000000000000000e-03 1.200000000000000e+02 5.896168473187174e-01 1.358000000000000e+00 8.827000000000000e-03 5.839400000000001e-03 4.300000000000000e-01 1.222200000000000e-03 9.000000000000000e-02 9.079324358122693e-03 6.685805860178713e-01 3.123400000000000e-02 2.300000000000000e+00 2.037000000000000e-02 1.500000000000000e+00 -3.530800000000001e-03 -2.600000000000000e-01 -8.827000000000000e-03 -6.500000000000000e-01 2.716000000000000e-04 2.000000000000000e-02 2.444400000000000e-03 1.800000000000000e-01 -1.086400000000000e-02 -8.000000000000000e-01 8.034036345449092e-04 5.916079783099478e-02 - 2 DIS_NCP 3.200000000000000e-03 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DIS_NCP 1.300000000000000e-01 2.000000000000000e+02 1.511838070047993e-02 3.624000000000000e-01 5.363519999999999e-03 6.052080000000000e-03 1.670000000000000e+00 3.479040000000000e-03 9.600000000000000e-01 4.213825382238804e-03 1.162755348299891e+00 8.335199999999999e-03 2.300000000000000e+00 5.436000000000000e-03 1.500000000000000e+00 -3.515280000000000e-03 -9.700000000000000e-01 -3.261600000000000e-03 -9.000000000000000e-01 -9.784800000000001e-04 -2.700000000000000e-01 -3.913920000000000e-03 -1.080000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.883085637988857e-04 5.196152422706560e-02 - 16 DIS_NCP 1.800000000000000e-01 2.000000000000000e+02 1.091883050590217e-02 3.140000000000000e-01 6.248600000000000e-03 5.055400000000000e-03 1.610000000000000e+00 5.966000000000000e-03 1.900000000000000e+00 4.541942434685847e-03 1.446478482384028e+00 7.221999999999999e-03 2.300000000000000e+00 4.710000000000000e-03 1.500000000000000e+00 -2.763200000000000e-03 -8.800000000000000e-01 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6.100000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 6.487393062240025e-03 6.752777206453653e-01 2.209610000000000e-02 2.300000000000000e+00 1.441050000000000e-02 1.500000000000000e+00 -5.091710000000000e-03 -5.300000000000000e-01 -4.803500000000000e-03 -5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.882100000000000e-04 3.000000000000000e-02 -1.921400000000000e-04 -2.000000000000000e-02 2.541773284539554e-04 2.645751311064384e-02 - 19 DIS_NCP 1.300000000000000e-02 2.500000000000000e+02 1.889797587559991e-01 8.095000000000000e-01 7.447400000000001e-03 7.366450000000000e-03 9.100000000000000e-01 1.699950000000000e-03 2.100000000000000e-01 5.432100878803705e-03 6.710439627923045e-01 1.861850000000000e-02 2.300000000000000e+00 1.214250000000000e-02 1.500000000000000e+00 3.885600000000000e-03 4.800000000000000e-01 -4.856999999999999e-03 -6.000000000000000e-01 2.428500000000000e-04 3.000000000000000e-02 6.233150000000001e-03 7.700000000000000e-01 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-2.400000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 138 DIS_NCP 6.500000000000000e-01 3.000000000000000e+04 4.535514210143979e-01 8.040000000000000e-03 5.718852000000000e-03 7.268160000000000e-04 9.039999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 3.185230453954628e-04 3.961729420341576e+00 1.849200000000000e-04 2.300000000000000e+00 1.206000000000000e-04 1.500000000000000e+00 2.194920000000000e-04 2.730000000000000e+00 9.969600000000000e-05 1.240000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.836422653226525e-06 9.746794344809111e-02 diff --git a/nnpdfcpp/data/commondata/DATA_LHCBLOWMASS37PB.dat b/nnpdfcpp/data/commondata/DATA_LHCBLOWMASS37PB.dat deleted file mode 100644 index b678cbf50e..0000000000 --- a/nnpdfcpp/data/commondata/DATA_LHCBLOWMASS37PB.dat +++ /dev/null @@ -1,10 +0,0 @@ -LHCBLOWMASS37PB 2 9 - 1 DYP_MLL 0.000000000000000e+00 3.600000000000000e+01 7.000000000000000e+03 1.110000000000000e+02 2.190000000000000e+01 2.930000000000000e+01 2.639639639639640e+01 3.900000000000000e+00 3.513513513513514e+00 - 2 DYP_MLL 0.000000000000000e+00 6.601562500000000e+01 7.000000000000000e+03 1.900000000000000e+02 2.440000000000000e+01 3.440000000000000e+01 1.810526315789474e+01 6.700000000000000e+00 3.526315789473684e+00 - 3 DYP_MLL 0.000000000000000e+00 1.322500000000000e+02 7.000000000000000e+03 1.052000000000000e+02 8.800000000000001e+00 1.610000000000000e+01 1.530418250950571e+01 3.700000000000000e+00 3.517110266159696e+00 - 4 DYP_MLL 0.000000000000000e+00 1.890625000000000e+02 7.000000000000000e+03 8.130000000000000e+01 5.600000000000000e+00 1.060000000000000e+01 1.303813038130381e+01 2.900000000000000e+00 3.567035670356704e+00 - 5 DYP_MLL 0.000000000000000e+00 3.062500000000000e+02 7.000000000000000e+03 8.130000000000000e+01 4.300000000000000e+00 9.400000000000000e+00 1.156211562115621e+01 2.900000000000000e+00 3.567035670356704e+00 - 6 DYP_MLL 0.000000000000000e+00 6.250000000000000e+02 7.000000000000000e+03 5.160000000000000e+01 2.800000000000000e+00 5.600000000000000e+00 1.085271317829457e+01 1.800000000000000e+00 3.488372093023256e+00 - 7 DYP_MLL 0.000000000000000e+00 1.225000000000000e+03 7.000000000000000e+03 1.530000000000000e+01 1.700000000000000e+00 2.100000000000000e+00 1.372549019607843e+01 5.000000000000000e-01 3.267973856209150e+00 - 8 DYP_MLL 0.000000000000000e+00 2.500000000000000e+03 7.000000000000000e+03 8.199999999999999e+00 1.000000000000000e+00 9.000000000000000e-01 1.097560975609756e+01 3.000000000000000e-01 3.658536585365854e+00 - 9 DYP_MLL 0.000000000000000e+00 8.100000000000000e+03 7.000000000000000e+03 7.320000000000000e+01 3.200000000000000e+00 3.500000000000000e+00 4.781420765027322e+00 2.600000000000000e+00 3.551912568306011e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ZEUSHERA2CCP.dat b/nnpdfcpp/data/commondata/DATA_ZEUSHERA2CCP.dat deleted file mode 100644 index f2da58dbcc..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ZEUSHERA2CCP.dat +++ /dev/null @@ -1,36 +0,0 @@ -ZEUSHERA2CCP 2 35 - 1 DIS_CCP 7.800000000000000e-03 2.800000000000000e+02 3.549843350484148e-01 1.145000000000000e+00 1.850000000000000e-01 2.964000000000000e-02 2.600000000000000e+00 9.000000000000000e-02 7.894736842105264e+00 - 2 DIS_CCP 1.500000000000000e-02 2.800000000000000e+02 1.845918542251757e-01 1.400000000000000e+00 1.250000000000000e-01 3.639999999999999e-02 2.600000000000000e+00 7.500000000000001e-02 5.357142857142859e+00 - 3 DIS_CCP 3.200000000000000e-02 2.800000000000000e+02 8.652743166805110e-02 8.860000000000000e-01 8.500000000000002e-02 2.298400000000000e-02 2.600000000000000e+00 2.800000000000000e-02 3.167420814479638e+00 - 4 DIS_CCP 6.800000000000000e-02 2.800000000000000e+02 4.071879137320052e-02 5.539999999999999e-01 7.100000000000001e-02 1.435200000000000e-02 2.600000000000000e+00 1.800000000000000e-02 3.260869565217392e+00 - 5 DIS_CCP 1.300000000000000e-01 2.800000000000000e+02 2.129906010290489e-02 5.920000000000001e-01 1.570000000000000e-01 1.492400000000000e-02 2.600000000000000e+00 2.000000000000000e-02 3.484320557491289e+00 - 6 DIS_CCP 7.800000000000000e-03 5.300000000000000e+02 6.719346341987852e-01 7.340000000000001e-01 1.785000000000000e-01 1.916200000000001e-02 2.600000000000000e+00 7.250000000000001e-02 9.837177747625509e+00 - 7 DIS_CCP 1.500000000000000e-02 5.300000000000000e+02 3.494060097833683e-01 9.945000000000002e-01 8.950000000000001e-02 2.574000000000000e-02 2.600000000000000e+00 3.600000000000000e-02 3.636363636363636e+00 - 8 DIS_CCP 3.200000000000000e-02 5.300000000000000e+02 1.637840670859539e-01 1.060000000000000e+00 7.500000000000001e-02 2.730000000000000e-02 2.600000000000000e+00 2.500000000000000e-02 2.380952380952381e+00 - 9 DIS_CCP 6.800000000000000e-02 5.300000000000000e+02 7.707485509927241e-02 6.980000000000001e-01 6.050000000000000e-02 1.801800000000000e-02 2.600000000000000e+00 1.850000000000000e-02 2.669552669552670e+00 - 10 DIS_CCP 1.300000000000000e-01 5.300000000000000e+02 4.031607805192711e-02 3.805000000000000e-01 6.050000000000001e-02 9.750000000000002e-03 2.600000000000000e+00 9.000000000000001e-03 2.400000000000000e+00 - 11 DIS_CCP 1.500000000000000e-02 9.500000000000000e+02 6.262937911211318e-01 6.680000000000000e-01 7.150000000000001e-02 1.749800000000000e-02 2.600000000000000e+00 2.850000000000000e-02 4.234769687964339e+00 - 12 DIS_CCP 3.200000000000000e-02 9.500000000000000e+02 2.935752145880305e-01 7.575000000000001e-01 5.300000000000001e-02 1.968200000000001e-02 2.600000000000000e+00 1.850000000000000e-02 2.443857331571995e+00 - 13 DIS_CCP 6.800000000000000e-02 9.500000000000000e+02 1.381530421590732e-01 5.570000000000001e-01 4.350000000000000e-02 1.443000000000000e-02 2.600000000000000e+00 8.500000000000001e-03 1.531531531531532e+00 - 14 DIS_CCP 1.300000000000000e-01 9.500000000000000e+02 7.226466820628444e-02 4.600000000000000e-01 4.750000000000000e-02 1.190800000000000e-02 2.600000000000000e+00 7.500000000000001e-03 1.637554585152839e+00 - 15 DIS_CCP 2.400000000000000e-01 9.500000000000000e+02 3.914336194507074e-02 1.795000000000000e-01 4.050000000000000e-02 4.550000000000001e-03 2.600000000000000e+00 1.000000000000000e-03 5.714285714285714e-01 - 16 DIS_CCP 3.200000000000000e-02 1.700000000000000e+03 5.253451208417389e-01 5.300000000000000e-01 3.950000000000001e-02 1.375400000000000e-02 2.600000000000000e+00 1.050000000000000e-02 1.984877126654065e+00 - 17 DIS_CCP 6.800000000000000e-02 1.700000000000000e+03 2.472212333372889e-01 4.990000000000001e-01 3.400000000000000e-02 1.294800000000000e-02 2.600000000000000e+00 6.000000000000000e-03 1.204819277108434e+00 - 18 DIS_CCP 1.300000000000000e-01 1.700000000000000e+03 1.293157220533511e-01 3.155000000000001e-01 3.250000000000000e-02 8.164000000000001e-03 2.600000000000000e+00 3.000000000000000e-03 9.554140127388533e-01 - 19 DIS_CCP 2.400000000000000e-01 1.700000000000000e+03 7.004601611223185e-02 2.175000000000000e-01 2.850000000000000e-02 5.616000000000001e-03 2.600000000000000e+00 3.000000000000000e-03 1.388888888888889e+00 - 20 DIS_CCP 4.200000000000000e-01 1.700000000000000e+03 4.002629492127534e-02 6.445000000000001e-02 2.530000000000000e-02 1.567800000000000e-03 2.600000000000000e+00 2.450000000000000e-03 4.063018242122720e+00 - 21 DIS_CCP 3.200000000000000e-02 3.000000000000000e+03 9.270796250148333e-01 3.955000000000000e-01 4.900000000000000e-02 1.016600000000000e-02 2.600000000000000e+00 1.650000000000000e-02 4.219948849104860e+00 - 22 DIS_CCP 6.800000000000000e-02 3.000000000000000e+03 4.362727647128627e-01 3.920000000000000e-01 2.750000000000000e-02 1.021800000000000e-02 2.600000000000000e+00 1.050000000000000e-02 2.671755725190839e+00 - 23 DIS_CCP 1.300000000000000e-01 3.000000000000000e+03 2.282042153882666e-01 2.770000000000000e-01 2.600000000000000e-02 7.150000000000001e-03 2.600000000000000e+00 5.000000000000000e-03 1.818181818181818e+00 - 24 DIS_CCP 2.400000000000000e-01 3.000000000000000e+03 1.236106166686444e-01 1.855000000000000e-01 2.200000000000000e-02 4.784000000000001e-03 2.600000000000000e+00 5.500000000000001e-03 2.989130434782608e+00 - 25 DIS_CCP 4.200000000000000e-01 3.000000000000000e+03 7.063463809636825e-02 4.930000000000001e-02 1.360000000000000e-02 1.253200000000000e-03 2.600000000000000e+00 2.400000000000000e-03 4.979253112033195e+00 - 26 DIS_CCP 6.800000000000000e-02 5.300000000000000e+03 7.707485509927240e-01 2.415000000000000e-01 2.450000000000000e-02 6.214000000000001e-03 2.600000000000000e+00 1.400000000000000e-02 5.857740585774058e+00 - 27 DIS_CCP 1.300000000000000e-01 5.300000000000000e+03 4.031607805192711e-01 2.010000000000000e-01 2.100000000000000e-02 5.200000000000001e-03 2.600000000000000e+00 1.000000000000000e-02 5.000000000000001e+00 - 28 DIS_CCP 2.400000000000000e-01 5.300000000000000e+03 2.183787561146052e-01 1.435000000000000e-01 1.800000000000000e-02 3.718000000000000e-03 2.600000000000000e+00 7.500000000000001e-03 5.244755244755246e+00 - 29 DIS_CCP 4.200000000000000e-01 5.300000000000000e+03 1.247878606369173e-01 7.609999999999999e-02 1.380000000000000e-02 1.921400000000000e-03 2.600000000000000e+00 5.800000000000000e-03 7.848443843031124e+00 - 30 DIS_CCP 1.300000000000000e-01 9.500000000000000e+03 7.226466820628444e-01 1.002000000000000e-01 1.530000000000000e-02 2.545400000000000e-03 2.600000000000000e+00 1.090000000000000e-02 1.113381001021451e+01 - 31 DIS_CCP 2.400000000000000e-01 9.500000000000000e+03 3.914336194507074e-01 9.045000000000000e-02 1.450000000000000e-02 2.298400000000000e-03 2.600000000000000e+00 7.450000000000000e-03 8.427601809954750e+00 - 32 DIS_CCP 4.200000000000000e-01 9.500000000000000e+03 2.236763539718328e-01 3.985000000000000e-02 1.020000000000000e-02 9.984000000000000e-04 2.600000000000000e+00 4.050000000000000e-03 1.054687500000000e+01 - 33 DIS_CCP 2.400000000000000e-01 1.700000000000000e+04 7.004601611223186e-01 3.460000000000000e-02 9.299999999999999e-03 8.554000000000001e-04 2.600000000000000e+00 5.700000000000000e-03 1.732522796352584e+01 - 34 DIS_CCP 4.200000000000000e-01 1.700000000000000e+04 4.002629492127535e-01 2.440000000000001e-02 8.299999999999998e-03 5.824000000000001e-04 2.600000000000000e+00 3.600000000000000e-03 1.607142857142857e+01 - 35 DIS_CCP 4.200000000000000e-01 3.000000000000000e+04 7.063463809636825e-01 1.038500000000000e-02 5.530000000000000e-03 2.264600000000000e-04 2.600000000000000e+00 2.715000000000000e-03 3.117106773823191e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ZEUSHERA2NCP.dat b/nnpdfcpp/data/commondata/DATA_ZEUSHERA2NCP.dat deleted file mode 100644 index c6e4d22e19..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ZEUSHERA2NCP.dat +++ /dev/null @@ -1,91 +0,0 @@ -ZEUSHERA2NCP 16 90 - 1 DIS_NCP 5.000000000000000e-03 2.000000000000000e+02 3.955539733396622e-01 1.116438000000000e+00 9.657000000000001e-03 -4.995000000000001e-04 -4.500000000000000e-02 8.880000000000000e-04 8.000000000000000e-02 -4.662000000000000e-03 -4.200000000000000e-01 1.060050000000000e-02 9.550000000000000e-01 -1.381950000000000e-02 -1.245000000000000e+00 -5.716500000000001e-03 -5.150000000000000e-01 9.435000000000002e-04 8.500000000000001e-02 7.215000000000000e-04 6.500000000000000e-02 -1.110000000000000e-03 -1.000000000000000e-01 1.498500000000000e-03 1.350000000000000e-01 -1.609500000000000e-03 -1.450000000000000e-01 3.885000000000001e-04 3.500000000000000e-02 1.831500000000000e-03 1.650000000000000e-01 4.440000000000000e-04 4.000000000000000e-02 7.770000000000002e-04 7.000000000000001e-02 2.054245920000000e-02 1.840000000000000e+00 - 2 DIS_NCP 8.000000000000000e-03 2.000000000000000e+02 2.472212333372889e-01 9.375377415000000e-01 7.557360000000001e-03 -4.251014999999999e-04 -4.500000000000000e-02 3.778680000000000e-04 4.000000000000000e-02 -1.086370500000000e-03 -1.150000000000000e-01 3.778680000000000e-03 4.000000000000000e-01 -7.321192500000000e-03 -7.750000000000000e-01 -6.423756000000001e-03 -6.800000000000000e-01 4.723350000000000e-05 5.000000000000000e-03 -9.446700000000000e-05 -1.000000000000000e-02 -4.723350000000000e-05 -5.000000000000000e-03 8.502029999999999e-04 9.000000000000000e-02 -3.778680000000000e-04 -4.000000000000000e-02 -4.723350000000000e-05 -5.000000000000000e-03 -1.889340000000000e-04 -2.000000000000000e-02 -1.889340000000000e-04 -2.000000000000000e-02 -5.195685000000000e-04 -5.500000000000000e-02 1.725069444360000e-02 1.840000000000000e+00 - 3 DIS_NCP 1.300000000000000e-02 2.000000000000000e+02 1.521361435921778e-01 7.901098920000000e-01 6.326004000000001e-03 -6.406080000000000e-04 -8.000000000000000e-02 1.201140000000000e-03 1.500000000000000e-01 -4.804560000000000e-04 -6.000000000000000e-02 4.804560000000000e-04 6.000000000000000e-02 -6.446118000000001e-03 -8.050000000000000e-01 -3.203040000000000e-03 -4.000000000000000e-01 -2.001900000000000e-04 -2.500000000000000e-02 -8.007600000000000e-05 -1.000000000000000e-02 -8.007600000000000e-05 -1.000000000000000e-02 8.007600000000001e-04 1.000000000000000e-01 -1.201140000000000e-04 -1.500000000000000e-02 -1.601520000000000e-04 -2.000000000000000e-02 -3.603420000000000e-04 -4.500000000000000e-02 -8.007600000000000e-05 -1.000000000000000e-02 -3.203040000000000e-04 -4.000000000000000e-02 1.453802201280000e-02 1.840000000000000e+00 - 4 DIS_NCP 2.100000000000000e-02 2.000000000000000e+02 9.417951746182432e-02 6.797717025000000e-01 6.463325000000000e-03 -7.143675000000000e-04 -1.050000000000000e-01 9.865074999999999e-04 1.450000000000000e-01 -1.360700000000000e-04 -2.000000000000000e-02 -1.360700000000000e-03 -2.000000000000000e-01 -9.865075000000001e-04 -1.450000000000000e-01 2.415242500000000e-03 3.550000000000000e-01 -3.401750000000000e-05 -5.000000000000000e-03 -6.803500000000001e-05 -1.000000000000000e-02 -6.803500000000001e-05 -1.000000000000000e-02 7.483850000000001e-04 1.100000000000000e-01 1.020525000000000e-04 1.500000000000000e-02 -3.401750000000000e-05 -5.000000000000000e-03 -1.700875000000000e-04 -2.500000000000000e-02 -6.803500000000001e-05 -1.000000000000000e-02 -1.700875000000000e-04 -2.500000000000000e-02 1.250779932600000e-02 1.840000000000000e+00 - 5 DIS_NCP 3.200000000000000e-02 2.000000000000000e+02 6.180530833432222e-02 5.729734400000001e-01 5.714176000000000e-03 -6.506240000000000e-04 -1.150000000000000e-01 -2.545920000000000e-04 -4.500000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 -5.657600000000001e-05 -1.000000000000000e-02 3.960320000000000e-04 7.000000000000001e-02 7.156864000000000e-03 1.265000000000000e+00 -5.657600000000001e-05 -1.000000000000000e-02 -1.131520000000000e-04 -2.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 4.243200000000001e-04 7.500000000000000e-02 5.657600000000001e-05 1.000000000000000e-02 1.131520000000000e-04 2.000000000000000e-02 -5.657600000000001e-05 -1.000000000000000e-02 5.657600000000001e-05 1.000000000000000e-02 -3.677440000000001e-04 -6.500000000000000e-02 1.054271129600000e-02 1.840000000000000e+00 - 6 DIS_NCP 5.000000000000000e-02 2.000000000000000e+02 3.955539733396622e-02 5.166013229999999e-01 5.007114000000000e-03 -6.897555000000001e-04 -1.350000000000000e-01 -1.532790000000000e-04 -3.000000000000000e-02 -5.109300000000000e-05 -1.000000000000000e-02 3.321045000000000e-04 6.500000000000000e-02 -1.149592500000000e-03 -2.250000000000000e-01 5.722416000000000e-03 1.120000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.554650000000000e-05 5.000000000000000e-03 2.554650000000000e-05 5.000000000000000e-03 4.598369999999999e-04 9.000000000000000e-02 -2.554650000000000e-05 -5.000000000000000e-03 7.663949999999999e-05 1.500000000000000e-02 7.663949999999999e-05 1.500000000000000e-02 -7.663949999999999e-05 -1.500000000000000e-02 -1.277325000000000e-04 -2.500000000000000e-02 9.505464343200000e-03 1.840000000000000e+00 - 7 DIS_NCP 8.000000000000000e-02 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-1.663532000000000e-04 -2.600000000000000e-01 4.222812000000000e-04 6.600000000000000e-01 2.722434100000000e-03 4.255000000000000e+00 -1.957849200000000e-03 -3.060000000000000e+00 1.279640000000000e-05 2.000000000000000e-02 1.183667000000000e-04 1.850000000000000e-01 -3.199100000000000e-06 -5.000000000000000e-03 -1.375613000000000e-04 -2.150000000000000e-01 -2.108206900000000e-03 -3.295000000000000e+00 -4.158830000000000e-04 -6.500000000000000e-01 1.055244888880000e-03 1.840000000000000e+00 - 90 DIS_NCP 4.000000000000000e-01 3.000000000000000e+04 7.416637000118667e-01 4.092807510000000e-02 1.996001700000000e-02 -1.305232500000000e-04 -3.250000000000000e-01 9.237030000000000e-04 2.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -4.136583000000001e-04 -1.030000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.136556300000000e-03 -2.830000000000000e+00 3.072316500000000e-04 7.650000000000000e-01 -2.012066100000000e-03 -5.010000000000000e+00 1.465876500000000e-04 3.650000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.112477500000000e-04 7.749999999999999e-01 0.000000000000000e+00 0.000000000000000e+00 -1.265071500000000e-04 -3.150000000000000e-01 -6.024150000000001e-06 -1.500000000000000e-02 -2.249016000000000e-04 -5.600000000000001e-01 7.530765818400000e-04 1.840000000000000e+00 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2CCEM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2CCEM_DEFAULT.dat deleted file mode 100644 index 2aa7d15eea..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2CCEM_DEFAULT.dat +++ /dev/null @@ -1,10 +0,0 @@ -9 -1 ADD CORR -2 ADD CORR -3 MULT H1HERA2LUMI -4 MULT CORR -5 ADD H1HERA2SYSV -6 ADD H1HERA2SYSh -7 ADD H1HERA2SYSN_CC -8 ADD H1HERA2SYSB -9 ADD CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2CCEP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2CCEP_DEFAULT.dat deleted file mode 100644 index 2aa7d15eea..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2CCEP_DEFAULT.dat +++ /dev/null @@ -1,10 +0,0 @@ -9 -1 ADD CORR -2 ADD CORR -3 MULT H1HERA2LUMI -4 MULT CORR -5 ADD H1HERA2SYSV -6 ADD H1HERA2SYSh -7 ADD H1HERA2SYSN_CC -8 ADD H1HERA2SYSB -9 ADD CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2HGHY_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2HGHY_DEFAULT.dat deleted file mode 100644 index 7e00cf9e9e..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2HGHY_DEFAULT.dat +++ /dev/null @@ -1,8 +0,0 @@ -7 -1 ADD UNCORR -2 MULT H1HERA2HGHYLUMI -3 ADD CORR -4 ADD CORR -5 ADD CORR -6 ADD CORR -7 ADD CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2LOWQ2_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2LOWQ2_DEFAULT.dat deleted file mode 100644 index 0088e95c76..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2LOWQ2_DEFAULT.dat +++ /dev/null @@ -1,11 +0,0 @@ -10 -1 ADD UNCORR -2 MULT H1HERA2LOWQ2LUMI -3 ADD CORR -4 ADD CORR -5 ADD CORR -6 ADD CORR -7 ADD CORR -8 ADD CORR -9 ADD CORR -10 ADD CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2NCEM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2NCEM_DEFAULT.dat deleted file mode 100644 index 5b6dfb62e0..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2NCEM_DEFAULT.dat +++ /dev/null @@ -1,12 +0,0 @@ -11 -1 ADD CORR -2 ADD CORR -3 ADD CORR -4 MULT H1HERA2LUMI -5 MULT CORR -6 ADD H1HERA2SYSE -7 ADD H1HERA2SYSTheta -8 ADD H1HERA2SYSh -9 ADD H1HERA2SYSN_NC -10 ADD H1HERA2SYSB -11 ADD CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2NCEP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2NCEP_DEFAULT.dat deleted file mode 100644 index 5b6dfb62e0..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_H1HERA2NCEP_DEFAULT.dat +++ /dev/null @@ -1,12 +0,0 @@ -11 -1 ADD CORR -2 ADD CORR -3 ADD CORR -4 MULT H1HERA2LUMI -5 MULT CORR -6 ADD H1HERA2SYSE -7 ADD H1HERA2SYSTheta -8 ADD H1HERA2SYSh -9 ADD H1HERA2SYSN_NC -10 ADD H1HERA2SYSB -11 ADD CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHCBLOWMASS37PB_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHCBLOWMASS37PB_DEFAULT.dat deleted file mode 100644 index 43c419c9ac..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_LHCBLOWMASS37PB_DEFAULT.dat +++ /dev/null @@ -1,3 +0,0 @@ -2 -1 MULT UNCORR -2 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERA2CCP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERA2CCP_DEFAULT.dat deleted file mode 100644 index 173d8972ed..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERA2CCP_DEFAULT.dat +++ /dev/null @@ -1,3 +0,0 @@ -2 -1 MULT ZEUS2LUMI2 -2 ADD UNCORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERA2NCP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERA2NCP_DEFAULT.dat deleted file mode 100644 index 5aec54d094..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ZEUSHERA2NCP_DEFAULT.dat +++ /dev/null @@ -1,17 +0,0 @@ -16 -1 ADD CORR -2 ADD CORR -3 ADD CORR -4 ADD CORR -5 ADD UNCORR -6 ADD CORR -7 ADD UNCORR -8 ADD CORR -9 ADD UNCORR -10 ADD CORR -11 ADD UNCORR -12 ADD CORR -13 ADD CORR -14 ADD UNCORR -15 ADD UNCORR -16 MULT ZEUS2LUMI2 From 3d1608ca9d55371f96a9c3b0934bcbca8a4ecacf Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 9 Apr 2019 16:11:19 +0100 Subject: [PATCH 229/429] adding options for qr or svd rather than gram schmidt --- .../src/validphys/theorycovariance/tests.py | 31 +++++++++++++------ 1 file changed, 22 insertions(+), 9 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 7fbc51db4e..0aab6f4b82 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -410,7 +410,8 @@ def vectors_9pt(splitdiffs): def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, collected_theoryids, fivetheories:(str, type(None)) = None, - seventheories:(str, type(None)) = None): + seventheories:(str, type(None)) = None, + orthonormalisation:(str, type(None))=None): """Projects the theory covariance matrix from the data space into the basis of non-zero eigenvalues, dependent on point-prescription. Then returns the eigenvalues (w) and eigenvectors (v) @@ -464,25 +465,37 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, xs = vectors_9pt(splitdiffs) # ------------------------------------------------ # Orthonormalising vectors according to Gram-Schmidt - ys = [x/np.linalg.norm(x) for x in xs] - for i in range(1, len(xs)): - for j in range(0,i): - ys[i] = ys[i] - (ys[i].T.dot(ys[j]))[0][0]*ys[j]/np.linalg.norm(ys[j]) - ys[i] = ys[i]/np.linalg.norm(ys[i]) + if orthonormalisation == "gs": + ys = [x/np.linalg.norm(x) for x in xs] + for i in range(1, len(xs)): + for j in range(0,i): + ys[i] = ys[i] - (ys[i].T.dot(ys[j]))[0][0]*ys[j]/np.linalg.norm(ys[j]) + ys[i] = ys[i]/np.linalg.norm(ys[i]) + p = pd.concat(ys, axis=1) + elif orthonormalisation == "svd": + xsmatrix = pd.concat(xs, axis=1) + p = la.orth(xsmatrix) + elif orthonormalisation == "qr": + xsmatrix = pd.concat(xs, axis=1) + p = np.linalg.qr(xsmatrix)[0] # Projecting covariance matrix onto subspace of non-zero eigenvalues - p = pd.concat(ys, axis=1) projected_matrix = (p.T).dot(covmat.dot(p)) + cond_num = np.linalg.cond(projected_matrix) w, v_projected = la.eigh(projected_matrix) # Finding eigenvectors in data space v = p.dot(v_projected) - return w, v + return w, v, cond_num + +def projected_condition_num(evals_nonzero_basis): + cond_num = evals_nonzero_basis[2] + return cond_num def theory_shift_test(shx_vector, evals_nonzero_basis): """Compares the NNLO-NLO shift, f, with the eigenvectors and eigenvalues of the theory covariance matrix, and returns the component of the NNLO-NLO shift space which is missed by the covariance matrix space: fmiss, as well as the projections of the shift vector onto each of the eigenvectors: projectors.""" - w, v = evals_nonzero_basis + w, v = evals_nonzero_basis[:2] v = np.real(v) # NNLO-NLO shift vector f = -shx_vector[0].values.T[0] From 66609758b87af2d7e6bc7dc652e7720b42f33dd6 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Wed, 10 Apr 2019 00:18:28 +0200 Subject: [PATCH 230/429] Cleanup --- .../commondata/DATA_ATLASR06JETS2P76TEV.dat | 60 ------------ .../SYSTYPE_ATLASR06JETS2P76TEV_DEFAULT.dat | 91 ------------------- 2 files changed, 151 deletions(-) delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASR06JETS2P76TEV.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR06JETS2P76TEV_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_ATLASR06JETS2P76TEV.dat b/nnpdfcpp/data/commondata/DATA_ATLASR06JETS2P76TEV.dat deleted file mode 100644 index 08cff5ce5e..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASR06JETS2P76TEV.dat +++ /dev/null @@ -1,60 +0,0 @@ -ATLASR06JETS2P76TEV 90 59 - 1 JET 1.500000000000000e-01 6.250000000000000e+02 2.760000000000000e+03 2.050000000000000e+03 2.870000000000000e+01 5.535000000000000e+01 2.700000000000000e+00 1.570564516129032e+02 7.661290322580645e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.665000000000000e+02 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9.841886792452832e-01 1.207867924528302e+00 2.700000000000000e+00 1.899163403346387e+00 4.245283018867925e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.815660377358491e-01 1.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.243349056603774e+00 7.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.722330188679245e+00 3.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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0.000000000000000e+00 -4.012427184466019e-01 -4.100000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.893203883495146e-03 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.786407766990290e-02 1.000000000000000e+00 9.786407766990290e-02 1.000000000000000e+00 9.786407766990291e-03 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.893203883495145e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 5 JET 1.500000000000000e-01 9.025000000000000e+03 2.760000000000000e+03 1.800000000000000e+00 2.700000000000000e-02 4.860000000000000e-02 2.700000000000000e+00 3.529411764705882e-02 1.960784313725490e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -8.100000000000001e-03 -4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.242000000000000e-01 6.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.700000000000000e-02 1.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.280000000000000e-02 4.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.160000000000000e-02 1.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.628015986734347e-02 2.015564437074637e+00 -4.770000000000000e-02 -2.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -6.390000000000000e-02 -3.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -5.850000000000000e-02 -3.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -9.000000000000001e-03 -5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.430000000000000e-02 -1.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.160000000000000e-02 -1.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.000000000000001e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.800000000000000e-02 1.000000000000000e+00 1.800000000000000e-02 1.000000000000000e+00 1.800000000000000e-03 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.000000000000001e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 6 JET 1.500000000000000e-01 1.822500000000000e+04 2.760000000000000e+03 2.502941176470588e-01 7.008235294117647e-03 6.757941176470589e-03 2.700000000000000e+00 3.680795847750865e-03 1.470588235294118e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.251470588235294e-04 -5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.213926470588235e-02 4.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.508823529411766e-03 3.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.134558823529411e-03 3.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.753235294117647e-03 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.787637295237866e-03 1.513274595042156e+00 -5.005882352941177e-03 -2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -8.635147058823530e-03 -3.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -9.010588235294117e-03 -3.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.502941176470588e-03 -1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.937287636308773e-04 3.570714214271425e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.775896049104240e-03 -1.109053650640942e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.252647058823529e-03 -9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.502941176470588e-03 1.000000000000000e+00 2.502941176470588e-03 1.000000000000000e+00 5.005882352941177e-04 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.251470588235294e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 7 JET 1.500000000000000e-01 3.422500000000000e+04 2.760000000000000e+03 3.125490196078431e-02 2.469137254901961e-03 8.438823529411765e-04 2.700000000000000e+00 4.596309111880046e-04 1.470588235294118e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.125333333333334e-03 6.800000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.531490196078432e-03 4.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.407254901960784e-04 2.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.375686274509804e-04 1.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.331686871003094e-04 1.705872210923198e+00 -6.094705882352941e-04 -1.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.218941176470588e-03 -3.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.468980392156862e-03 -4.699999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -5.000784313725489e-04 -1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.554911739948973e-04 -4.974937185533099e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.490681898491878e-03 -4.769433928675394e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -8.751372549019608e-04 -2.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.125490196078431e-04 1.000000000000000e+00 3.125490196078431e-04 1.000000000000000e+00 1.250196078431373e-04 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.562745098039216e-04 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 8 JET 1.500000000000000e-01 5.522500000000000e+04 2.760000000000000e+03 5.311764705882353e-03 9.029999999999999e-04 1.434176470588235e-04 2.700000000000000e+00 7.811418685121106e-05 1.470588235294118e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.222852941176471e-04 7.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.230941176470588e-04 4.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.233235294117647e-05 1.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.035794117647059e-04 1.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.623680500935340e-05 1.811767093199344e+00 -9.030000000000000e-05 -1.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.177823529411764e-04 -4.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.841794117647058e-04 -5.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.009235294117647e-04 -1.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.593529411764706e-05 -3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -3.557692953135350e-04 -6.697760819856141e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.859117647058824e-04 -3.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.311764705882353e-05 1.000000000000000e+00 5.311764705882353e-05 1.000000000000000e+00 2.124705882352941e-05 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.655882352941176e-05 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 9 JET 1.500000000000000e-01 8.122500000000000e+04 2.760000000000000e+03 1.560784313725490e-03 5.306666666666667e-04 4.214117647058824e-05 2.700000000000000e+00 2.295271049596309e-05 1.470588235294118e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.257647058823531e-05 4.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.214117647058824e-05 2.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.185098039215686e-05 1.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.136078431372549e-05 2.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.101270189450522e-05 1.346291201783626e+00 -2.575294117647059e-05 -1.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -6.243137254901961e-05 -4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -9.052549019607844e-05 -5.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -3.745882352941176e-05 -2.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -3.901960784313726e-06 -2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -6.399215686274509e-05 -4.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -6.165098039215687e-05 -3.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.560784313725490e-05 1.000000000000000e+00 1.560784313725490e-05 1.000000000000000e+00 6.243137254901962e-06 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.803921568627452e-06 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 10 JET 1.500000000000000e-01 1.260250000000000e+05 2.760000000000000e+03 4.053921568627451e-04 1.905343137254902e-04 1.094558823529412e-05 2.700000000000000e+00 5.961649365628604e-06 1.470588235294118e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.398602941176471e-05 3.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.499950980392157e-05 3.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.837745098039216e-06 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.479681372549020e-05 3.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.697129018193186e-06 1.158663022625647e+00 -6.283578431372550e-06 -1.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.885073529411765e-05 -4.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.797205882352941e-05 -6.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.297254901960784e-05 -3.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.013480392156863e-06 -2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.026960784313726e-05 -5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.783725490196078e-05 -4.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.053921568627451e-06 1.000000000000000e+00 4.053921568627451e-06 1.000000000000000e+00 1.216176470588235e-06 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.026960784313726e-06 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 11 JET 1.500000000000000e-01 2.025000000000000e+05 2.760000000000000e+03 6.619607843137255e-05 7.943529411764705e-05 1.787294117647059e-06 2.700000000000000e+00 9.734717416378316e-07 1.470588235294118e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.522509803921569e-06 -2.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.217568627450980e-06 -3.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.092235294117647e-06 -1.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.489411764705882e-06 -2.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -9.598431372549019e-07 -1.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.641609360295818e-06 2.479919353527449e+00 3.640784313725491e-07 5.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.288627450980393e-06 9.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.030901960784313e-06 7.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.971764705882353e-07 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.612549019607843e-06 1.150000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -5.626666666666667e-07 -8.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.619607843137255e-07 1.000000000000000e+00 3.309803921568627e-07 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.619607843137255e-07 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 12 JET 5.500000000000000e-01 6.250000000000000e+02 2.760000000000000e+03 1.972580645161290e+03 2.169838709677419e+01 5.325967741935484e+01 2.700000000000000e+00 1.590790842872008e+02 8.064516129032258e+00 1.972580645161290e+01 1.000000000000000e+00 9.862903225806452e+00 5.000000000000000e-01 2.465725806451613e+02 1.250000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.031758064516129e+02 1.030000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.958870967741935e+02 1.500000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.696419354838710e+02 8.600000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.862903225806451e+01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.789650301261767e+00 1.414213562373095e-01 4.536935483870967e+01 2.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.073870967741934e+01 4.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.764274193548387e+01 4.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.917741935483871e+01 3.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.945161290322581e+00 2.000000000000000e-01 1.183548387096774e+01 6.000000000000000e-01 9.073870967741934e+01 4.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.972580645161290e+00 1.000000000000000e-01 3.945161290322581e+01 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 13 JET 5.500000000000000e-01 1.406250000000000e+03 2.760000000000000e+03 2.676991150442478e+02 5.086283185840709e+00 7.227876106194692e+00 2.700000000000000e+00 1.776764037904300e+01 6.637168141592921e+00 2.676991150442479e+00 1.000000000000000e+00 1.338495575221239e+00 5.000000000000000e-01 2.047898230088496e+01 7.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.810840707964602e+01 1.050000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.583296460176992e+01 9.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.047898230088496e+01 7.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.361725663716816e+00 2.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.785837191308508e-01 1.414213562373095e-01 7.897123893805311e+00 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.101769911504427e+00 3.400000000000000e+00 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0.000000000000000e+00 9.771017699115047e+00 3.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -4.015486725663718e-01 -1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.676991150442478e-01 1.000000000000000e-01 8.030973451327436e-01 3.000000000000000e-01 8.834070796460178e+00 3.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.873893805309735e+00 7.000000000000000e-01 2.676991150442479e+00 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 14 JET 5.500000000000000e-01 2.756250000000000e+03 2.760000000000000e+03 4.229906542056074e+01 7.613831775700934e-01 1.142074766355140e+00 2.700000000000000e+00 1.778932657874050e+00 4.205607476635514e+00 4.229906542056074e-01 1.000000000000000e+00 2.114953271028037e-01 5.000000000000000e-01 6.133364485981309e-01 1.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.510822429906542e+00 8.300000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.812887850467289e+00 6.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.543915887850467e+00 3.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.402336448598130e-01 1.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.229906542056074e-02 1.000000000000000e-01 1.290121495327103e+00 3.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.825327102803737e-01 1.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.945757009345794e+00 4.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.114953271028037e-02 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.120925233644860e+00 2.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.459813084112149e-02 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.691962616822430e-01 4.000000000000000e-01 4.229906542056074e-02 1.000000000000000e-01 4.652897196261682e-01 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.229906542056074e-02 1.000000000000000e-01 4.229906542056074e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 15 JET 5.500000000000000e-01 4.900000000000000e+03 2.760000000000000e+03 9.327884615384615e+00 7.462307692307693e-02 2.518528846153846e-01 2.700000000000000e+00 2.690735946745562e-01 2.884615384615384e+00 9.327884615384616e-02 1.000000000000000e+00 4.663942307692308e-02 5.000000000000000e-01 -1.072706730769231e-01 -1.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.829927884615385e-01 6.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.451317307692308e-01 3.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.751725961538462e-01 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.311399038461538e-01 3.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.663942307692308e-03 5.000000000000000e-02 2.984923076923077e-01 3.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.352543269230770e-01 1.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.430745192307692e-01 4.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.197548076923077e-02 4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.529519230769230e-02 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.912216346153846e-01 2.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.798365384615385e-02 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.119346153846154e-01 1.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.327884615384616e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 16 JET 5.500000000000000e-01 9.025000000000000e+03 2.760000000000000e+03 1.755882352941176e+00 1.931470588235294e-02 4.740882352941177e-02 2.700000000000000e+00 3.442906574394464e-02 1.960784313725490e+00 1.755882352941177e-02 1.000000000000000e+00 8.779411764705883e-03 5.000000000000000e-01 -8.779411764705883e-03 -5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.088647058823529e-01 6.199999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.443235294117647e-02 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.004264705882353e-02 2.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.301911764705883e-02 2.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.779411764705883e-04 5.000000000000000e-02 5.443235294117647e-02 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.107058823529412e-02 1.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.306176470588236e-02 5.300000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.194852941176471e-02 1.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.779411764705883e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -6.145588235294117e-03 -3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.725882352941177e-02 4.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.023529411764706e-03 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.755882352941177e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.755882352941177e-03 1.000000000000000e-01 1.755882352941177e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 17 JET 5.500000000000000e-01 1.822500000000000e+04 2.760000000000000e+03 2.327450980392157e-01 5.353137254901960e-03 6.284117647058824e-03 2.700000000000000e+00 3.422722029988465e-03 1.470588235294118e+00 2.327450980392157e-03 1.000000000000000e+00 1.163725490196078e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.396470588235294e-02 6.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.098725490196077e-03 3.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.702254901960784e-03 2.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.163725490196078e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.163725490196078e-04 5.000000000000000e-02 6.167745098039216e-03 2.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.094705882352941e-03 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.361558823529412e-02 5.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.538529411764706e-03 1.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.327450980392157e-04 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.327450980392157e-04 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.384833333333333e-02 5.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.861960784313725e-03 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.861960784313725e-03 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.654901960784314e-04 2.000000000000000e-01 2.327450980392157e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 18 JET 5.500000000000000e-01 3.422500000000000e+04 2.760000000000000e+03 2.771568627450980e-02 1.829235294117647e-03 7.483235294117648e-04 2.700000000000000e+00 4.075836216839677e-04 1.470588235294118e+00 2.771568627450980e-04 1.000000000000000e+00 1.385784313725490e-04 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.039338235294118e-03 3.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.898970588235294e-04 2.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.513186274509803e-04 2.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.988823529411765e-04 1.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.385784313725490e-05 5.000000000000000e-02 7.067499999999999e-04 2.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.940098039215686e-04 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.884666666666667e-03 6.800000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.176127450980394e-04 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.771568627450980e-05 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.189539215686275e-03 7.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.314705882352942e-05 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.880196078431372e-04 1.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.543137254901961e-05 2.000000000000000e-01 2.771568627450980e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 19 JET 5.500000000000000e-01 5.522500000000000e+04 2.760000000000000e+03 3.568627450980392e-03 6.066666666666667e-04 9.635294117647060e-05 2.700000000000000e+00 5.247981545559400e-05 1.470588235294118e+00 3.568627450980392e-05 1.000000000000000e+00 1.784313725490196e-05 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.249019607843137e-04 3.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.231176470588235e-04 3.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.531372549019607e-05 1.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.635294117647060e-05 2.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.672549019607844e-05 2.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.141176470588235e-05 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.658627450980392e-04 7.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.302549019607843e-04 3.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.352941176470588e-06 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.211764705882353e-04 9.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.568627450980392e-06 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.784313725490196e-05 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.568627450980392e-06 1.000000000000000e-01 3.568627450980392e-05 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 20 JET 5.500000000000000e-01 8.122500000000000e+04 2.760000000000000e+03 1.158823529411765e-03 3.360588235294118e-04 3.128823529411765e-05 2.700000000000000e+00 1.704152249134948e-05 1.470588235294118e+00 1.158823529411765e-05 1.000000000000000e+00 5.794117647058824e-06 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.431470588235297e-05 5.550000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.229705882352942e-05 3.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.143823529411765e-05 1.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.751176470588236e-05 4.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.607352941176471e-05 2.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.794117647058824e-06 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.965882352941181e-05 8.600000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.910000000000001e-05 5.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.317647058823530e-06 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.216764705882353e-04 1.050000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.794117647058824e-06 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 6.952941176470590e-06 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.317647058823530e-06 2.000000000000000e-01 1.158823529411765e-05 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 21 JET 5.500000000000000e-01 1.260250000000000e+05 2.760000000000000e+03 3.514705882352941e-04 1.581617647058823e-04 9.489705882352941e-06 2.700000000000000e+00 5.168685121107266e-06 1.470588235294118e+00 3.514705882352941e-06 1.000000000000000e+00 1.757352941176470e-06 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.845220588235294e-05 5.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.528897058823529e-05 4.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.690441176470588e-06 1.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.405882352941176e-05 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.732352941176471e-06 2.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.757352941176470e-06 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.251102941176470e-05 9.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.056102941176470e-05 5.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.272058823529412e-07 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.393382352941176e-05 1.250000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.405882352941176e-06 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 3.514705882352941e-07 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.514705882352941e-07 1.000000000000000e-01 3.514705882352941e-06 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 22 JET 5.500000000000000e-01 2.025000000000000e+05 2.760000000000000e+03 1.324509803921569e-04 8.344411764705881e-05 3.576176470588235e-06 2.700000000000000e+00 1.947808535178777e-06 1.470588235294118e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -4.569558823529412e-06 -3.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -7.351029411764705e-06 -5.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -3.112598039215686e-06 -2.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.384117647058823e-06 -1.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.986764705882353e-06 -1.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.488232795504116e-06 1.123610252712212e+00 -1.456960784313726e-06 -1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -7.615931372549020e-06 -5.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.132455882352941e-05 -8.550000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -4.635784313725490e-06 -3.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.324509803921569e-07 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.986764705882353e-05 1.500000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.324509803921569e-06 1.000000000000000e+00 1.324509803921569e-06 1.000000000000000e+00 9.271568627450979e-07 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.622549019607843e-07 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 23 JET 1.000000000000000e+00 6.250000000000000e+02 2.760000000000000e+03 1.820000000000000e+03 2.366000000000000e+01 4.914000000000000e+01 2.700000000000000e+00 1.456000000000000e+02 8.000000000000000e+00 1.820000000000000e+01 1.000000000000000e+00 9.100000000000000e+00 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.002000000000000e+02 1.100000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.574300000000000e+02 8.649999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.366000000000000e+02 1.300000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.656200000000000e+02 9.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.916999999999999e+01 4.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.169802287944925e+01 5.038352905464245e+00 0.000000000000000e+00 0.000000000000000e+00 3.549000000000000e+01 1.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.732000000000000e+01 2.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.460000000000000e+00 3.000000000000000e-01 7.280000000000000e+00 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.820000000000000e+02 1.000000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.366000000000000e+01 1.300000000000000e+00 3.640000000000000e+01 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 24 JET 1.000000000000000e+00 1.406250000000000e+03 2.760000000000000e+03 2.262831858407080e+02 4.978230088495576e+00 6.109646017699117e+00 2.700000000000000e+00 1.401754248570758e+01 6.194690265486727e+00 2.262831858407080e+00 1.000000000000000e+00 1.131415929203540e+00 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.787637168141593e+01 7.899999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.375973451327434e+01 1.050000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.183632743362832e+01 9.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.108787610619469e+01 4.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.675353982300885e+00 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.433866043254541e+01 6.336600034718933e+00 0.000000000000000e+00 0.000000000000000e+00 7.014778761061947e+00 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.259336283185842e+00 3.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.221929203539823e+01 5.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.131415929203540e-01 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.825044247787611e+00 3.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -3.394247787610620e-01 -1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.262831858407080e-01 1.000000000000000e-01 4.525663716814159e-01 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.719752212389380e+01 7.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.262831858407080e+00 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 25 JET 1.000000000000000e+00 2.756250000000000e+03 2.760000000000000e+03 3.716822429906542e+01 7.805327102803739e-01 1.003542056074767e+00 2.700000000000000e+00 1.563149620054153e+00 4.205607476635514e+00 3.716822429906542e-01 1.000000000000000e+00 1.858411214953271e-01 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 6.504439252336449e-01 1.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.196467289719627e+00 8.600000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.601775700934580e+00 7.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.152214953271028e+00 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.433644859813084e-01 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.816495959199402e+00 4.887228253314960e+00 0.000000000000000e+00 0.000000000000000e+00 1.245135514018692e+00 3.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.991168224299066e-01 2.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.802658878504673e+00 4.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.716822429906542e-02 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.059294392523364e+00 2.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.115046728971963e-01 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.858411214953271e-01 5.000000000000000e-01 3.716822429906542e-02 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 9.292056074766356e-01 2.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.486728971962617e-01 4.000000000000000e-01 3.716822429906542e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 26 JET 1.000000000000000e+00 4.900000000000000e+03 2.760000000000000e+03 7.920192307692307e+00 7.920192307692307e-02 2.138451923076923e-01 2.700000000000000e+00 2.284670857988165e-01 2.884615384615384e+00 7.920192307692307e-02 1.000000000000000e+00 3.960096153846154e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 -9.504230769230768e-02 -1.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.187725961538462e-01 6.550000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.049274038461538e-01 3.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.504836538461538e-01 1.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.851269230769231e-01 3.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.247520306454300e-01 4.100304866714182e+00 0.000000000000000e+00 0.000000000000000e+00 2.574062500000000e-01 3.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.227629807692308e-01 1.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.999697115384616e-01 5.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.752115384615384e-02 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.940144230769231e-02 7.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.782043269230769e-01 2.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.960096153846154e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.296855769230769e-01 2.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.168076923076923e-02 4.000000000000000e-01 7.920192307692307e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 27 JET 1.000000000000000e+00 9.025000000000000e+03 2.760000000000000e+03 1.461165048543689e+00 2.045631067961165e-02 3.945145631067961e-02 2.700000000000000e+00 2.837213686492600e-02 1.941747572815534e+00 1.461165048543689e-02 1.000000000000000e+00 7.305825242718445e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 -7.305825242718445e-03 -5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.766990291262135e-02 6.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.529611650485436e-02 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.680339805825242e-02 1.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.506796116504855e-02 2.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.224559041566133e-02 3.575611835756225e+00 0.000000000000000e+00 0.000000000000000e+00 4.529611650485436e-02 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.607281553398058e-02 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.525000000000000e-02 5.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.753398058252427e-02 1.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -5.844660194174757e-03 -4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.575242718446601e-02 4.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.305825242718445e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.776213592233009e-02 1.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.844660194174757e-03 4.000000000000000e-01 1.461165048543689e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 28 JET 1.000000000000000e+00 1.822500000000000e+04 2.760000000000000e+03 1.920588235294118e-01 5.377647058823529e-03 5.185588235294117e-03 2.700000000000000e+00 3.765859284890427e-03 1.960784313725490e+00 1.920588235294118e-03 1.000000000000000e+00 9.602941176470588e-04 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 -1.920588235294118e-04 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.161955882352941e-02 6.050000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.569705882352941e-03 2.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.649117647058824e-03 1.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.056323529411765e-03 5.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.289010092653829e-03 3.274522866006588e+00 0.000000000000000e+00 0.000000000000000e+00 5.185588235294117e-03 2.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.536470588235294e-03 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.152352941176471e-02 6.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.649117647058824e-03 1.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.920588235294118e-04 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.920588235294118e-04 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.171558823529412e-02 6.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.688823529411765e-03 1.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.841176470588235e-03 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.761764705882352e-04 3.000000000000000e-01 1.920588235294118e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 29 JET 1.000000000000000e+00 3.422500000000000e+04 2.760000000000000e+03 2.032352941176471e-02 1.686852941176471e-03 5.487352941176471e-04 2.700000000000000e+00 3.985005767012688e-04 1.960784313725490e+00 2.032352941176471e-04 1.000000000000000e+00 1.016176470588235e-04 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.113235294117647e-04 3.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.588970588235294e-04 2.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.064705882352941e-04 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.353382352941176e-04 1.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.216999473561301e-04 3.551056180912941e+00 0.000000000000000e+00 0.000000000000000e+00 4.877647058823529e-04 2.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.321029411764706e-04 6.499999999999999e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.341352941176470e-03 6.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.995441176470589e-04 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.032352941176471e-05 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.575073529411765e-03 7.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.064705882352942e-05 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.300294117647059e-04 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.097058823529411e-05 3.000000000000000e-01 2.032352941176471e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 30 JET 1.000000000000000e+00 5.522500000000000e+04 2.760000000000000e+03 2.487254901960785e-03 5.223235294117647e-04 6.715588235294119e-05 2.700000000000000e+00 4.876970396001538e-05 1.960784313725490e+00 2.487254901960785e-05 1.000000000000000e+00 1.243627450980392e-05 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.949019607843139e-05 4.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.327205882352942e-05 3.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.471960784313726e-05 2.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.337401960784316e-05 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.071325680945350e-04 4.307261310856354e+00 0.000000000000000e+00 0.000000000000000e+00 5.596323529411766e-05 2.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.243627450980392e-05 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.977367647058824e-04 7.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.007338235294118e-04 4.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.730882352941177e-06 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.524563725490197e-04 1.015000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.461764705882354e-06 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.238529411764706e-05 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.974509803921570e-06 2.000000000000000e-01 2.487254901960785e-05 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 31 JET 1.000000000000000e+00 8.122500000000000e+04 2.760000000000000e+03 7.620588235294117e-04 2.972029411764706e-04 2.057558823529412e-05 2.700000000000000e+00 1.494232987312572e-05 1.960784313725490e+00 7.620588235294117e-06 1.000000000000000e+00 3.810294117647059e-06 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.343735294117646e-05 5.699999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.743411764705882e-05 3.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.714632352941176e-05 2.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.200647058823529e-05 4.199999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.766220839771259e-05 4.942165517260626e+00 0.000000000000000e+00 0.000000000000000e+00 1.790838235294118e-05 2.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.572352941176470e-06 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.277661764705882e-05 9.550000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.038911764705882e-05 5.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.143088235294118e-06 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.525735294117646e-05 1.250000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.572352941176470e-06 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.124441176470588e-05 4.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.048235294117647e-06 4.000000000000000e-01 7.620588235294117e-06 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 32 JET 1.000000000000000e+00 1.260250000000000e+05 2.760000000000000e+03 1.055882352941177e-04 8.763823529411765e-05 2.850882352941176e-06 2.700000000000000e+00 2.070357554786621e-06 1.960784313725490e+00 1.055882352941176e-06 1.000000000000000e+00 5.279411764705882e-07 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 -5.279411764705882e-07 -5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.440882352941176e-06 6.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.593088235294118e-06 4.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.502941176470588e-07 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.593088235294118e-06 4.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.197408802479622e-06 5.869412236331676e+00 0.000000000000000e+00 0.000000000000000e+00 2.375735294117647e-06 2.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.695588235294117e-07 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.161470588235294e-05 1.100000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.602352941176471e-06 7.199999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.583823529411765e-07 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.055882352941177e-07 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.583823529411765e-05 1.500000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.900588235294118e-06 1.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.850882352941176e-06 2.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.111764705882353e-07 2.000000000000000e-01 1.055882352941176e-06 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 33 JET 1.650000000000000e+00 6.250000000000000e+02 2.760000000000000e+03 1.431451612903226e+03 1.431451612903226e+01 3.864919354838710e+01 2.700000000000000e+00 1.154396462018731e+02 8.064516129032258e+00 1.431451612903226e+01 1.000000000000000e+00 7.157258064516129e+00 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.789314516129032e+02 1.250000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.417137096774194e+02 9.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.147177419354839e+02 1.500000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.717741935483871e+02 1.200000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.085685483870968e+01 4.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.163765894226594e+02 1.511588568361113e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.363911290322580e+01 2.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.513104838709677e+01 4.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.942540322580645e+01 4.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.365927419354839e+01 3.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.431451612903226e+00 1.000000000000000e-01 5.725806451612904e+00 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.860887096774194e+02 1.300000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.725806451612904e+00 4.000000000000000e-01 2.862903225806452e+01 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 34 JET 1.650000000000000e+00 1.406250000000000e+03 2.760000000000000e+03 1.845535714285714e+02 3.321964285714285e+00 4.982946428571428e+00 2.700000000000000e+00 1.153459821428571e+01 6.250000000000000e+00 1.845535714285714e+00 1.000000000000000e+00 9.227678571428569e-01 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.467200892857143e+01 7.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.928584821428571e+01 1.045000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.771714285714285e+01 9.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.766294642857142e+00 4.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.444330357142857e+00 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.844775223949462e+01 1.541436018782486e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.721160714285713e+00 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.736205357142856e+00 3.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.596785714285712e+00 5.199999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.197589285714285e+00 3.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.845535714285714e-01 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.845535714285714e-01 1.000000000000000e-01 3.691071428571428e-01 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.254964285714285e+01 6.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.691071428571428e-01 2.000000000000000e-01 1.845535714285714e+00 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 35 JET 1.650000000000000e+00 2.756250000000000e+03 2.760000000000000e+03 2.652336448598131e+01 4.508971962616822e-01 7.161308411214954e-01 2.700000000000000e+00 9.915276443357498e-01 3.738317757009345e+00 2.652336448598131e-01 1.000000000000000e+00 1.326168224299066e-01 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.111121495327103e-01 1.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.347317757009346e+00 8.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.922943925233645e+00 7.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.620093457943925e-01 3.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.774205607476635e-01 1.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.605372151040771e+00 9.822932352408825e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.487476635514020e-01 3.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.172056074766355e-01 1.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.339429906542056e+00 5.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.978504672897197e-02 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.161308411214954e-01 2.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.283177570093458e-02 3.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.957009345794391e-02 3.000000000000000e-01 2.652336448598131e-02 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.243738317757010e-01 1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.957009345794391e-02 3.000000000000000e-01 2.652336448598131e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 36 JET 1.650000000000000e+00 4.900000000000000e+03 2.760000000000000e+03 5.511538461538461e+00 4.409230769230769e-02 1.488115384615385e-01 2.700000000000000e+00 1.589866863905325e-01 2.884615384615384e+00 5.511538461538461e-02 1.000000000000000e+00 2.755769230769231e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -6.613846153846153e-02 -1.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.720288461538461e-01 6.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.094384615384615e-01 3.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.267307692307693e-02 1.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.956596153846154e-01 3.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.702589022418626e-01 6.717886572427374e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.763692307692308e-01 3.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.164999999999999e-02 1.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.700653846153846e-01 4.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.755769230769231e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.582500000000000e-02 6.499999999999999e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.129865384615385e-01 2.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.653461538461538e-02 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.377884615384615e-01 2.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.653461538461538e-02 3.000000000000000e-01 5.511538461538461e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 37 JET 1.650000000000000e+00 9.025000000000000e+03 2.760000000000000e+03 9.042718446601942e-01 1.085126213592233e-02 2.441533980582524e-02 2.700000000000000e+00 2.194834574417947e-02 2.427184466019417e+00 9.042718446601941e-03 1.000000000000000e+00 4.521359223300971e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -3.617087378640777e-03 -4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.968194174757281e-02 6.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.938883495145631e-02 3.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.946990291262137e-03 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.170252427184466e-02 2.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.083463725723766e-02 5.621610089645136e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.803242718446602e-02 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.085126213592233e-02 1.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.109135922330097e-02 5.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.175553398058253e-02 1.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.521359223300971e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -3.617087378640777e-03 -4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.204864077669903e-02 4.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.712815533980583e-03 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.989398058252427e-02 2.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.042718446601942e-04 1.000000000000000e-01 9.042718446601941e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 38 JET 1.650000000000000e+00 1.822500000000000e+04 2.760000000000000e+03 1.010679611650485e-01 2.627766990291262e-03 2.728834951456311e-03 2.700000000000000e+00 1.962484682816477e-03 1.941747572815534e+00 1.010679611650485e-03 1.000000000000000e+00 5.053398058252427e-04 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.923155339805824e-03 6.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.739514563106796e-03 3.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.465485436893204e-03 1.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.074757281553397e-04 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.116490724671613e-03 6.051859218455102e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.335242718446602e-03 3.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.061213592233010e-03 1.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.973689320388350e-03 6.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.476165048543690e-03 2.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.010679611650486e-04 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.010679611650486e-04 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.125291262135922e-03 7.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.053398058252427e-04 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.617087378640777e-03 1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.010679611650485e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 39 JET 1.650000000000000e+00 3.422500000000000e+04 2.760000000000000e+03 1.026213592233010e-02 7.901844660194174e-04 2.770776699029126e-04 2.700000000000000e+00 1.992647751908756e-04 1.941747572815534e+00 1.026213592233010e-04 1.000000000000000e+00 5.131067961165048e-05 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.874514563106796e-04 4.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.848300970873786e-04 3.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.334077669902913e-04 1.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.411601941747572e-04 2.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.781142333442474e-04 7.582380892569297e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.232572815533981e-04 3.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.235922330097088e-05 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.081990291262135e-04 8.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.053543689320388e-04 3.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.026213592233010e-05 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.021082524271844e-03 9.949999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.026213592233010e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.052427184466019e-04 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.052427184466019e-05 2.000000000000000e-01 1.026213592233010e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 40 JET 1.650000000000000e+00 5.522500000000000e+04 2.760000000000000e+03 1.292233009708738e-03 2.713689320388349e-04 3.489029126213592e-05 2.700000000000000e+00 2.509190310114054e-05 1.941747572815534e+00 1.292233009708738e-05 1.000000000000000e+00 6.461165048543689e-06 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.202718446601941e-05 4.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.685825242718446e-05 4.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.107281553398058e-06 5.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.716650485436893e-05 3.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.060930383832180e-04 8.210054811022882e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.553640776699029e-05 2.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.399514563106795e-06 6.499999999999999e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.227621359223301e-04 9.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.461165048543689e-05 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.584466019417476e-06 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.550679611650485e-04 1.200000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.421456310679612e-05 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.005922330097087e-05 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.168932038834951e-06 4.000000000000000e-01 1.292233009708738e-05 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 41 JET 1.650000000000000e+00 8.122500000000000e+04 2.760000000000000e+03 8.495145631067961e-05 6.711165048543689e-05 2.293689320388350e-06 2.700000000000000e+00 1.649542840984070e-06 1.941747572815534e+00 8.495145631067961e-07 1.000000000000000e+00 4.247572815533981e-07 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.668689320388350e-06 7.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.247572815533981e-06 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.769417475728154e-07 1.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.757281553398058e-06 5.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.001848509123260e-06 1.059646167359652e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.548543689320388e-06 3.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.359223300970874e-05 1.600000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.495145631067961e-07 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.796116504854369e-07 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.398058252427185e-07 4.000000000000000e-01 8.495145631067961e-07 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 42 JET 1.650000000000000e+00 1.260250000000000e+05 2.760000000000000e+03 2.182524271844660e-05 2.728155339805826e-05 5.892815533980584e-07 2.700000000000000e+00 4.237911207465360e-07 1.941747572815534e+00 2.182524271844660e-07 1.000000000000000e+00 1.091262135922330e-07 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.182524271844660e-08 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.669631067961165e-06 7.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.353165048543689e-06 6.199999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.055533980582524e-07 1.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.189475728155340e-06 5.449999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.522326786099160e-06 1.155692433132622e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.674563106796117e-07 2.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.200388349514563e-07 5.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.273786407766991e-06 1.500000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.931533980582525e-06 8.850000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.365048543689320e-08 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.365048543689321e-06 2.000000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.964271844660194e-07 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.244038834951457e-06 5.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.182524271844660e-07 1.000000000000000e+00 2.182524271844660e-07 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 43 JET 2.450000000000000e+00 6.250000000000000e+02 2.760000000000000e+03 9.697478991596639e+02 1.454621848739496e+01 2.618319327731093e+01 2.700000000000000e+00 8.149142009745076e+01 8.403361344537815e+00 9.697478991596640e+00 1.000000000000000e+00 4.848739495798320e+00 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.357647058823530e+02 1.400000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.066722689075630e+02 1.100000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.648571428571429e+02 1.700000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.012436974789917e+01 6.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.285126050420168e+01 5.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.320313105136509e+02 2.392697222801080e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.327394957983194e+01 2.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.897226890756304e+01 5.050000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.091176470588236e+01 5.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.006218487394958e+01 3.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.909243697478991e+00 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.939495798319328e+02 2.000000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.788235294117648e+00 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.939495798319328e+01 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 44 JET 2.450000000000000e+00 1.406250000000000e+03 2.760000000000000e+03 1.123853211009174e+02 1.461009174311927e+00 3.034403669724771e+00 2.700000000000000e+00 6.186347950509216e+00 5.504587155963302e+00 1.123853211009174e+00 1.000000000000000e+00 5.619266055045872e-01 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.878440366972477e+00 7.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.180045871559633e+01 1.050000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.101376146788991e+01 9.800000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.630733944954128e+00 5.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.315366972477064e+00 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0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.326834862385320e+00 3.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.123853211009174e-01 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.371559633027523e-01 3.000000000000000e-01 2.247706422018349e-01 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.405963302752293e+00 5.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.236238532110092e+00 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.123853211009174e+00 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 45 JET 2.450000000000000e+00 2.756250000000000e+03 2.760000000000000e+03 1.370476190476190e+01 3.152095238095238e-01 3.700285714285715e-01 2.700000000000000e+00 6.526077097505670e-01 4.761904761904763e+00 1.370476190476191e-01 1.000000000000000e+00 6.852380952380953e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.192761904761905e-01 1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.288247619047619e+00 9.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.068971428571429e+00 7.800000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.070761904761905e-01 3.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.603904761904762e-01 1.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.790504983279128e+00 1.306483830745716e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.454047619047619e-01 3.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.809476190476190e-01 2.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.989428571428570e-01 5.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.055714285714286e-02 1.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.852380952380952e-03 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.768809523809524e-01 2.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.167142857142857e-02 4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.852380952380953e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.466857142857143e-01 1.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.222857142857143e-02 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.370476190476191e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 46 JET 2.450000000000000e+00 4.900000000000000e+03 2.760000000000000e+03 2.328846153846154e+00 3.027500000000000e-02 6.287884615384616e-02 2.700000000000000e+00 1.007673816568047e-01 4.326923076923077e+00 2.328846153846154e-02 1.000000000000000e+00 1.164423076923077e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.445288461538462e-02 -1.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.828144230769231e-01 7.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.094557692307692e-01 4.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.657692307692308e-02 2.000000000000000e+00 0.000000000000000e+00 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0.000000000000000e+00 0.000000000000000e+00 1.408951923076923e-01 6.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.863076923076923e-02 8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.328846153846154e-03 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.979519230769231e-02 8.500000000000001e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.404326923076924e-02 2.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.164423076923077e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.356346153846154e-02 2.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.328846153846154e-03 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.328846153846154e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 47 JET 2.450000000000000e+00 9.025000000000000e+03 2.760000000000000e+03 2.721359223300971e-01 6.531262135922330e-03 7.347669902912623e-03 2.700000000000000e+00 1.056838533320765e-02 3.883495145631068e+00 2.721359223300971e-03 1.000000000000000e+00 1.360679611650486e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -8.164077669902913e-04 -3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.408402912621359e-02 8.850000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.224611650485437e-02 4.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.904951456310680e-03 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.028009708737864e-03 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.190187030485938e-02 8.048136430255143e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.102150485436893e-02 4.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.809902912621359e-03 1.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.041019417475728e-02 7.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.354174757281554e-03 1.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.360679611650486e-04 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.088543689320389e-03 -4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.768883495145631e-02 6.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.632815533980583e-03 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.142970873786408e-02 4.200000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.442718446601943e-04 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.721359223300971e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 48 JET 2.450000000000000e+00 1.822500000000000e+04 2.760000000000000e+03 1.470873786407767e-02 1.088446601941748e-03 3.971359223300971e-04 2.700000000000000e+00 5.712131209350552e-04 3.883495145631068e+00 1.470873786407767e-04 1.000000000000000e+00 7.354368932038835e-05 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.492936893203884e-03 1.015000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.310436893203885e-04 5.650000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.544417475728156e-04 1.050000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.059223300970873e-04 1.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.341340928159101e-03 9.119347564382005e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.501456310679610e-04 5.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.574029126213592e-04 1.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.522354368932039e-03 1.035000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.442233009708739e-04 3.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.941747572815535e-05 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.470873786407767e-05 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.537063106796116e-03 1.045000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.323786407766990e-04 9.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.736407766990291e-04 3.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.029611650485437e-04 7.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.470873786407767e-04 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 49 JET 2.450000000000000e+00 3.422500000000000e+04 2.760000000000000e+03 6.252427184466019e-04 2.188349514563107e-04 1.688155339805825e-05 2.700000000000000e+00 2.428127061928551e-05 3.883495145631068e+00 6.252427184466020e-06 1.000000000000000e+00 3.126213592233010e-06 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.095339805825244e-05 6.550000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.251262135922330e-05 5.199999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.378640776699029e-06 1.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.157087378640777e-05 3.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.741395289104672e-05 1.078204526052455e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.782330097087379e-05 4.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.190291262135921e-06 1.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.128155339805826e-05 1.300000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.595145631067961e-05 5.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.250485436893204e-06 2.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.378640776699028e-05 1.500000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.313009708737864e-05 2.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.563495145631068e-05 4.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.877669902912623e-06 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.252427184466020e-06 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 50 JET 2.450000000000000e+00 5.522500000000000e+04 2.760000000000000e+03 6.119417475728155e-05 6.976135922330097e-05 1.652242718446602e-06 2.700000000000000e+00 2.376472806108021e-06 3.883495145631068e+00 6.119417475728155e-07 1.000000000000000e+00 3.059708737864078e-07 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.649271844660193e-06 1.250000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.455985436893204e-06 1.055000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.713436893203883e-06 2.800000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.476878640776698e-06 8.949999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.328421096703111e-05 2.170829334609241e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.120902912621359e-06 5.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.037330097087378e-07 1.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.499257281553398e-05 2.450000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.955242718446601e-06 1.300000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -3.059708737864077e-08 -5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.897019417475728e-05 3.100000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.162689320388349e-06 1.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.731359223300970e-06 1.100000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.119417475728154e-08 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 6.119417475728155e-07 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 51 JET 3.200000000000000e+00 6.250000000000000e+02 2.760000000000000e+03 4.984821428571428e+02 8.972678571428570e+00 1.345901785714286e+01 2.700000000000000e+00 4.895806760204081e+01 9.821428571428571e+00 9.969642857142857e+00 2.000000000000000e+00 2.492410714285714e+00 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.477232142857142e+01 1.500000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.732544642857142e+01 1.150000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.972678571428571e+01 1.800000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.389678571428571e+01 6.800000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.841348214285714e+01 5.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.730386541587388e+02 3.471310991541957e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.345901785714286e+01 2.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.641955357142857e+01 5.300000000000001e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.766575892857142e+01 5.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.694839285714285e+01 3.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.984821428571428e-01 1.000000000000000e-01 1.993928571428571e+00 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.046812500000000e+02 2.100000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 1.993928571428571e+00 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.969642857142857e+00 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 52 JET 3.200000000000000e+00 1.406250000000000e+03 2.760000000000000e+03 4.190476190476191e+01 8.380952380952381e-01 1.131428571428571e+00 2.700000000000000e+00 3.192743764172336e+00 7.619047619047620e+00 8.380952380952381e-01 2.000000000000000e+00 2.095238095238095e-01 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.666666666666667e+00 8.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.238095238095239e+00 1.250000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.819047619047620e+00 1.150000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.619047619047620e+00 6.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.445714285714286e+00 3.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.563621878423555e+01 3.731370391692575e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.571428571428571e+00 3.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.718095238095238e+00 4.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.556190476190476e+00 6.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.864761904761905e+00 4.450000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -4.190476190476191e-02 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.095238095238095e-01 5.000000000000000e-01 1.257142857142857e-01 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.190476190476191e+00 1.000000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.190476190476191e-01 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 53 JET 3.200000000000000e+00 2.756250000000000e+03 2.760000000000000e+03 3.171844660194175e+00 6.343689320388349e-02 8.563980582524272e-02 2.700000000000000e+00 2.001649542840984e-01 6.310679611650485e+00 3.171844660194174e-02 1.000000000000000e+00 1.585922330097087e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.281990291262136e-02 1.350000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.281990291262136e-01 1.350000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.600043689320389e-01 1.135000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.776233009708738e-01 5.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.356941747572815e-02 2.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.010465281975982e+00 3.185733824411575e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.585922330097087e-01 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.088203883495144e-02 2.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.505757281553398e-01 7.899999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.427330097087378e-02 4.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.046708737864078e-01 3.300000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.489029126213593e-02 1.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.832718446601942e-02 3.100000000000000e+00 3.171844660194175e-03 1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.237019417475728e-01 3.900000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.585922330097087e-02 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.171844660194174e-02 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 54 JET 3.200000000000000e+00 4.900000000000000e+03 2.760000000000000e+03 2.507843137254902e-01 8.275882352941176e-03 6.771176470588236e-03 2.700000000000000e+00 1.475201845444060e-02 5.882352941176470e+00 2.507843137254902e-03 1.000000000000000e+00 1.253921568627451e-03 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -4.890294117647059e-03 -1.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.884019607843137e-02 1.150000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.605019607843138e-02 6.400000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.065833333333333e-02 4.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.542323529411765e-02 6.150000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 6.284336660017494e-02 2.505873101336139e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.404392156862745e-02 5.600000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.266470588235295e-03 2.100000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.294676470588235e-02 9.149999999999999e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.257058823529412e-03 8.999999999999999e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 7.523529411764705e-04 3.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.191225490196078e-02 4.750000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.379313725490196e-02 5.500000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.504705882352941e-02 6.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.504705882352941e-03 6.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.507843137254902e-03 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 - 55 JET 3.200000000000000e+00 9.025000000000000e+03 2.760000000000000e+03 7.382352941176471e-03 8.858823529411766e-04 1.993235294117648e-04 2.700000000000000e+00 4.342560553633218e-04 5.882352941176470e+00 7.382352941176471e-05 1.000000000000000e+00 3.691176470588236e-05 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -5.536764705882353e-05 -7.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.597058823529413e-04 1.300000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.207941176470589e-04 5.700000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 4.392500000000001e-04 5.950000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.882500000000000e-04 2.550000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.502993394396202e-03 2.035927307150233e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.691176470588235e-04 5.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.227941176470588e-05 1.250000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.858823529411764e-04 1.200000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.476470588235294e-04 2.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.691176470588236e-06 5.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -5.905882352941177e-05 -8.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 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4.049782608695652e-03 2.600000000000000e+01 1.978163043478261e-03 1.270000000000000e+01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.557608695652174e-04 1.000000000000000e+00 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR06JETS2P76TEV_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR06JETS2P76TEV_DEFAULT.dat deleted file mode 100644 index 6fea947c3d..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASR06JETS2P76TEV_DEFAULT.dat +++ /dev/null @@ -1,91 +0,0 @@ -90 -1 MULT CORR -2 MULT CORR -3 MULT UNCORR -4 MULT UNCORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR -57 MULT CORR -58 MULT CORR -59 MULT CORR -60 MULT CORR -61 MULT CORR -62 MULT CORR -63 MULT CORR -64 MULT CORR -65 MULT CORR -66 MULT CORR -67 MULT CORR -68 MULT CORR -69 MULT CORR -70 MULT CORR -71 MULT CORR -72 MULT CORR -73 MULT CORR -74 MULT CORR -75 MULT CORR -76 MULT CORR -77 MULT CORR -78 MULT CORR -79 MULT CORR -80 MULT CORR -81 MULT CORR -82 MULT CORR -83 MULT CORR -84 MULT CORR -85 MULT CORR -86 MULT CORR -87 MULT CORR -88 MULT CORR -89 MULT CORR -90 MULT CORR From a955ed534a023e12ffdd6829160174fea7773985 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Wed, 10 Apr 2019 12:32:56 +0200 Subject: [PATCH 231/429] Cleanup --- .../commondata/DATA_ATLASTOPDIFF8TEVTTPT.dat | 7 --- .../SYSTYPE_ATLASTOPDIFF8TEVTTPT_DEFAULT.dat | 58 ------------------- 2 files changed, 65 deletions(-) delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT.dat b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT.dat deleted file mode 100644 index 5684631663..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT.dat +++ /dev/null @@ -1,7 +0,0 @@ -ATLASTOPDIFF8TEVTTPT 57 6 - 1 HQP_PTQQ 1.000000000000000e+01 3.003289000000000e+04 8.000000000000000e+03 4.063886116000000e+00 2.487610240000000e-02 1.173789600000000e-02 2.850000000000000e-01 1.939841760000000e-02 4.709999999999999e-01 9.678615999999999e-03 2.350000000000000e-01 1.408547520000000e-02 3.420000000000000e-01 3.336033600000001e-03 8.100000000000000e-02 2.471136000000000e-04 5.999999999999999e-03 1.688609600000000e-03 4.099999999999999e-02 8.504826400000000e-03 2.065000000000000e-01 8.443048000000002e-04 2.050000000000000e-02 9.003172160000000e-02 2.186000000000000e+00 1.301464960000000e-01 3.160000000000000e+00 1.729795200000000e-03 4.200000000000000e-02 4.612787199999999e-03 1.120000000000000e-01 2.059280000000000e-05 5.000000000000000e-04 1.952197440000000e-02 4.740000000000000e-01 9.884544000000000e-03 2.400000000000000e-01 4.118560000000000e-05 1.000000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 1.390014000000000e-02 3.375000000000000e-01 1.507392960000000e-02 3.659999999999999e-01 9.102017600000002e-03 2.210000000000000e-01 5.354128000000000e-04 1.300000000000000e-02 3.669636960000000e-02 8.909999999999999e-01 5.395313600000002e-03 1.310000000000000e-01 1.317939200000000e-03 3.200000000000000e-02 1.153196800000000e-01 2.800000000000000e+00 2.553507200000001e-03 6.200000000000000e-02 2.924177600000001e-03 7.100000000000001e-02 1.853352000000001e-04 4.500000000000001e-03 2.901525520000000e-02 7.045000000000000e-01 5.242926880000000e-02 1.273000000000000e+00 1.888359760000000e-02 4.585000000000000e-01 7.001552000000001e-04 1.700000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 8.978460800000001e-03 2.180000000000000e-01 1.050232800000000e-03 2.550000000000000e-02 8.731347199999998e-03 2.119999999999999e-01 1.451792400000000e-02 3.524999999999999e-01 4.118560000000000e-05 1.000000000000000e-03 3.583147200000000e-03 8.699999999999999e-02 3.984706800000000e-01 9.674999999999999e+00 4.332725120000001e-02 1.052000000000000e+00 3.232245888000000e-01 7.847999999999999e+00 9.204981600000000e-03 2.235000000000000e-01 8.690161600000001e-03 2.110000000000000e-01 1.647424000000000e-04 4.000000000000000e-03 8.854904000000000e-04 2.150000000000000e-02 5.387076480000001e-02 1.308000000000000e+00 5.910133600000002e-03 1.435000000000000e-01 7.207480000000001e-04 1.750000000000000e-02 1.781483128000000e-01 4.325500000000000e+00 2.137532640000001e-02 5.190000000000001e-01 2.059280000000000e-04 4.999999999999999e-03 6.095468799999999e-03 1.480000000000000e-01 6.074876000000002e-03 1.475000000000000e-01 2.524677280000000e-02 6.130000000000000e-01 1.153196800000000e-01 2.800000000000000e+00 - 2 HQP_PTQQ 3.250000000000000e+01 3.003289000000000e+04 8.000000000000000e+03 3.082566552400000e+00 1.252836320000000e-02 8.636507800000000e-03 2.785000000000000e-01 1.277644960000000e-02 4.120000000000000e-01 7.318548799999999e-03 2.360000000000000e-01 1.286948200000000e-03 4.150000000000000e-02 2.139745200000000e-03 6.900000000000001e-02 8.062808000000001e-04 2.600000000000000e-02 1.907164200000001e-03 6.150000000000001e-02 6.357213999999999e-03 2.050000000000000e-01 6.822376000000001e-04 2.200000000000000e-02 1.094681240000000e-02 3.530000000000000e-01 6.388224800000000e-03 2.060000000000000e-01 2.108734400000000e-03 6.800000000000000e-02 3.302650199999999e-03 1.065000000000000e-01 9.303240000000001e-05 3.000000000000000e-03 1.497821640000000e-02 4.830000000000000e-01 7.504613600000000e-03 2.420000000000000e-01 6.202160000000000e-05 2.000000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 1.352070880000000e-02 4.360000000000000e-01 1.184612560000000e-02 3.820000000000000e-01 6.791365200000000e-03 2.190000000000000e-01 9.923455999999999e-04 3.200000000000000e-02 2.874701160000000e-02 9.270000000000000e-01 3.287144800000000e-03 1.060000000000000e-01 9.768402000000002e-04 3.150000000000001e-02 8.683024000000002e-02 2.800000000000000e+00 2.321158380000000e-02 7.485000000000001e-01 4.062414800000001e-03 1.310000000000000e-01 2.790972000000000e-04 9.000000000000001e-03 2.063768740000000e-02 6.655000000000000e-01 3.938371600000000e-02 1.270000000000000e+00 1.548989460000000e-02 4.995000000000001e-01 5.581944000000001e-04 1.800000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.783121000000000e-03 5.750000000000000e-02 1.085378000000000e-04 3.500000000000001e-03 8.589991600000001e-03 2.770000000000000e-01 1.981590120000000e-02 6.390000000000000e-01 3.101080000000000e-05 1.000000000000000e-03 2.040510640000000e-02 6.580000000000000e-01 2.757480336000000e-01 8.891999999999999e+00 3.228224280000000e-02 1.041000000000000e+00 1.327882456000000e-01 4.282000000000000e+00 9.814918200000000e-03 3.165000000000000e-01 7.628656800000000e-03 2.460000000000000e-01 3.101080000000000e-05 1.000000000000000e-03 1.736604800000000e-03 5.599999999999999e-02 4.068616960000000e-02 1.312000000000000e+00 8.062807999999999e-03 2.600000000000000e-01 3.008047600000000e-03 9.700000000000000e-02 1.332068914000000e-01 4.295500000000001e+00 3.276291020000000e-02 1.056500000000000e+00 1.240432000000000e-04 4.000000000000000e-03 3.132090800000000e-03 1.010000000000000e-01 5.550933200000000e-03 1.790000000000000e-01 4.169402060000001e-02 1.344500000000000e+00 8.683024000000000e-02 2.800000000000000e+00 - 3 HQP_PTQQ 6.000000000000000e+01 3.003289000000000e+04 8.000000000000000e+03 1.546938972000000e+00 7.031188800000001e-03 4.135082400000000e-03 2.670000000000000e-01 5.420520000000000e-03 3.500000000000000e-01 3.577543200000000e-03 2.310000000000000e-01 7.348676400000000e-03 4.745000000000000e-01 5.420520000000001e-05 3.500000000000001e-03 7.588728000000001e-04 4.900000000000001e-02 3.647235600000000e-03 2.355000000000000e-01 3.407184000000000e-03 2.200000000000000e-01 2.632824000000000e-04 1.700000000000000e-02 1.636997040000000e-02 1.057000000000000e+00 1.517745600000000e-02 9.800000000000000e-01 1.533232800000000e-03 9.900000000000000e-02 1.610668800000000e-03 1.040000000000000e-01 7.743600000000001e-05 5.000000000000000e-03 9.485910000000000e-03 6.124999999999999e-01 3.778876800000000e-03 2.440000000000000e-01 1.316412000000000e-04 8.500000000000001e-03 0.000000000000000e+00 0.000000000000000e+00 8.727037199999999e-03 5.634999999999999e-01 5.807700000000002e-03 3.750000000000001e-01 3.267799200000000e-03 2.110000000000000e-01 1.161540000000000e-03 7.500000000000000e-02 1.504581480000000e-02 9.715000000000000e-01 1.238976000000000e-03 8.000000000000000e-02 4.723596000000001e-04 3.050000000000000e-02 4.336416000000000e-02 2.800000000000000e+00 3.292578720000001e-02 2.126000000000000e+00 3.515594400000000e-03 2.270000000000000e-01 3.329748000000001e-04 2.150000000000001e-02 9.764679600000001e-03 6.305000000000001e-01 1.962228240000000e-02 1.267000000000000e+00 8.486985600000002e-03 5.480000000000000e-01 2.942568000000000e-04 1.900000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.633899600000000e-03 1.055000000000000e-01 1.091847600000000e-03 7.050000000000001e-02 5.219186400000001e-03 3.370000000000000e-01 1.650161160000000e-02 1.065500000000000e+00 0.000000000000000e+00 0.000000000000000e+00 8.161754399999999e-03 5.269999999999999e-01 1.194063120000000e-01 7.710000000000001e+00 1.530135360000000e-02 9.880000000000000e-01 5.341535280000000e-02 3.449000000000000e+00 1.964551320000000e-02 1.268500000000000e+00 4.119595200000000e-03 2.660000000000000e-01 3.097440000000001e-05 2.000000000000000e-03 1.641643200000000e-03 1.060000000000000e-01 2.041212960000000e-02 1.318000000000000e+00 6.915034800000001e-03 4.465000000000000e-01 3.995697600000001e-03 2.580000000000000e-01 6.555731760000001e-02 4.233000000000001e+00 2.975091120000000e-02 1.921000000000000e+00 3.097440000000001e-05 2.000000000000000e-03 1.703592000000000e-03 1.100000000000000e-01 2.919337200000000e-03 1.885000000000000e-01 3.977112960000000e-02 2.568000000000000e+00 4.336416000000000e-02 2.800000000000000e+00 - 4 HQP_PTQQ 9.750000000000000e+01 3.003289000000000e+04 8.000000000000000e+03 7.094939754400000e-01 4.201602400000000e-03 1.819507480000000e-03 2.555000000000000e-01 2.285956560000000e-03 3.210000000000000e-01 1.445636080000000e-03 2.030000000000000e-01 7.566445000000000e-03 1.062500000000000e+00 1.064643320000000e-03 1.495000000000000e-01 5.412233600000000e-04 7.600000000000000e-02 2.791573120000000e-03 3.920000000000000e-01 1.627230760000000e-03 2.285000000000000e-01 1.175024400000000e-04 1.650000000000000e-02 9.325420919999999e-03 1.309500000000000e+00 2.920469736000000e-02 4.101000000000000e+00 7.726675600000000e-04 1.085000000000000e-01 7.263787200000000e-04 1.020000000000000e-01 3.204612000000001e-05 4.500000000000001e-03 5.572464200000000e-03 7.825000000000000e-01 1.766097280000000e-03 2.480000000000000e-01 6.409224000000000e-05 8.999999999999999e-03 0.000000000000000e+00 0.000000000000000e+00 4.824721400000000e-03 6.775000000000000e-01 2.549446880000000e-03 3.580000000000000e-01 1.630791440000000e-03 2.290000000000000e-01 7.477428000000000e-04 1.050000000000000e-01 7.071510480000000e-03 9.930000000000001e-01 3.916748000000000e-04 5.500000000000000e-02 2.029587600000000e-04 2.850000000000000e-02 1.993980800000000e-02 2.800000000000000e+00 2.582561204000000e-02 3.626500000000000e+00 2.172014800000000e-03 3.050000000000000e-01 3.062184800000001e-04 4.300000000000000e-02 4.586155839999999e-03 6.439999999999999e-01 9.001399040000000e-03 1.264000000000000e+00 4.098342680000000e-03 5.755000000000000e-01 1.317451600000000e-04 1.850000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.150099640000000e-03 1.615000000000000e-01 1.677080280000000e-03 2.355000000000000e-01 2.556568240000000e-03 3.590000000000000e-01 1.015505936000000e-02 1.426000000000000e+00 7.121360000000001e-06 1.000000000000000e-03 1.623670080000000e-03 2.280000000000000e-01 4.981391320000001e-02 6.995000000000001e+00 6.587258000000001e-03 9.250000000000002e-01 2.550159016000000e-02 3.581000000000000e+00 1.693815476000000e-02 2.378500000000000e+00 1.794582720000000e-03 2.520000000000000e-01 7.121360000000001e-06 1.000000000000000e-03 1.018354480000000e-03 1.430000000000000e-01 9.435802000000000e-03 1.325000000000000e+00 4.358272320000000e-03 6.120000000000001e-01 3.475223680000000e-03 4.880000000000000e-01 2.944326292000000e-02 4.134500000000000e+00 1.996117208000000e-02 2.803000000000000e+00 1.353058400000000e-04 1.900000000000000e-02 1.053961280000000e-03 1.480000000000000e-01 8.118350400000001e-04 1.140000000000000e-01 2.755966320000000e-02 3.870000000000001e+00 1.993980800000000e-02 2.800000000000000e+00 - 5 HQP_PTQQ 1.550000000000000e+02 3.003289000000000e+04 8.000000000000000e+03 2.721593650000000e-01 2.398831790000000e-03 6.756116900000001e-04 2.470000000000000e-01 1.012049900000000e-03 3.700000000000000e-01 3.856730700000000e-04 1.410000000000000e-01 3.944259340000001e-03 1.442000000000000e+00 8.123751900000003e-04 2.970000000000000e-01 2.106157900000000e-04 7.700000000000000e-02 1.144710495000000e-03 4.185000000000000e-01 6.113328450000000e-04 2.235000000000000e-01 1.162489750000000e-04 4.250000000000000e-02 2.457640095000001e-03 8.985000000000001e-01 2.401840587000000e-02 8.781000000000001e+00 1.983070750000000e-04 7.250000000000000e-02 2.707917300000001e-04 9.900000000000000e-02 8.205810000000001e-06 3.000000000000000e-03 2.348229295000000e-03 8.585000000000000e-01 6.947585799999999e-04 2.539999999999999e-01 7.795519500000000e-05 2.850000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.929732985000000e-03 7.054999999999999e-01 9.163154500000001e-04 3.350000000000000e-01 7.686108700000001e-04 2.810000000000000e-01 2.461742999999999e-04 8.999999999999998e-02 2.643638455000000e-03 9.664999999999999e-01 8.479336999999998e-05 3.099999999999999e-02 6.701411499999999e-05 2.449999999999999e-02 7.658756000000000e-03 2.800000000000000e+00 1.205707016000000e-02 4.407999999999999e+00 7.781843149999999e-04 2.845000000000000e-01 2.448066650000000e-04 8.950000000000000e-02 1.840836710000000e-03 6.730000000000000e-01 3.446440200000000e-03 1.260000000000000e+00 1.602868220000000e-03 5.860000000000000e-01 4.923486000000000e-05 1.800000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 2.557477450000000e-04 9.350000000000000e-02 1.680823415000000e-03 6.145000000000000e-01 9.135801800000001e-04 3.340000000000000e-01 3.896392115000001e-03 1.424500000000000e+00 2.735270000000000e-06 1.000000000000000e-03 1.285576900000000e-04 4.700000000000001e-02 1.760966826000000e-02 6.438000000000001e+00 2.521918940000000e-03 9.220000000000000e-01 9.261624220000000e-03 3.386000000000000e+00 8.520366050000000e-03 3.115000000000000e+00 5.169660300000000e-04 1.890000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 2.954091600000000e-04 1.080000000000000e-01 3.654320720000001e-03 1.336000000000000e+00 1.750572800000000e-03 6.400000000000000e-01 2.118466615000000e-03 7.745000000000000e-01 1.102860864000000e-02 4.032000000000000e+00 8.621571040000001e-03 3.152000000000000e+00 2.393361250000000e-04 8.749999999999999e-02 5.962888600000001e-04 2.180000000000000e-01 9.163154500000001e-05 3.350000000000000e-02 1.192851247000000e-02 4.361000000000001e+00 7.658756000000000e-03 2.800000000000000e+00 - 6 HQP_PTQQ 2.450000000000000e+02 3.003289000000000e+04 8.000000000000000e+03 7.868873192200000e-02 1.360493608000000e-03 1.795634380000000e-04 2.315000000000000e-01 3.808451320000000e-04 4.910000000000000e-01 2.613947240000001e-04 3.370000000000001e-01 1.052947590000000e-03 1.357500000000000e+00 1.807269160000000e-04 2.330000000000000e-01 1.163478000000000e-05 1.500000000000000e-02 2.074869100000000e-04 2.675000000000000e-01 1.221651900000000e-04 1.575000000000000e-01 5.429564000000001e-05 7.000000000000001e-02 3.781303500000000e-04 4.875000000000000e-01 8.760989340000002e-03 1.129500000000000e+01 3.606781800000000e-05 4.650000000000000e-02 5.856172600000000e-05 7.550000000000000e-02 1.047130200000000e-05 1.350000000000000e-02 6.329320320000001e-04 8.160000000000001e-01 2.039964760000000e-04 2.630000000000000e-01 4.692694600000000e-05 6.050000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 4.774138060000000e-04 6.155000000000000e-01 1.946886520000000e-04 2.510000000000000e-01 3.141390600000000e-04 4.050000000000001e-01 4.421216400000000e-05 5.700000000000001e-02 6.779198480000000e-04 8.740000000000000e-01 1.241043200000000e-05 1.600000000000000e-02 1.706434400000000e-05 2.200000000000000e-02 2.171825600000000e-03 2.800000000000000e+00 3.063437574000000e-03 3.949500000000000e+00 1.345756220000000e-04 1.735000000000000e-01 1.000591080000000e-04 1.290000000000000e-01 4.611251140000000e-04 5.945000000000000e-01 9.734432600000001e-04 1.255000000000000e+00 4.293233820000001e-04 5.535000000000000e-01 1.008347600000000e-05 1.300000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 8.726085000000002e-05 1.125000000000000e-01 8.966537120000001e-04 1.156000000000000e+00 2.233877760000000e-04 2.880000000000000e-01 8.276206840000001e-04 1.067000000000000e+00 6.205216000000001e-06 8.000000000000000e-03 2.264903840000000e-04 2.920000000000000e-01 4.717903290000000e-03 6.082500000000000e+00 7.539337440000001e-04 9.720000000000000e-01 1.137105832000000e-03 1.466000000000000e+00 2.335100346000000e-03 3.010500000000000e+00 1.341877960000000e-04 1.730000000000000e-01 7.756520000000001e-07 1.000000000000000e-03 2.171825600000000e-05 2.800000000000000e-02 1.045578896000000e-03 1.348000000000000e+00 3.986851280000000e-04 5.140000000000000e-01 7.682833060000001e-04 9.905000000000002e-01 3.151861902000000e-03 4.063499999999999e+00 2.096199530000000e-03 2.702500000000001e+00 1.648260500000000e-04 2.125000000000000e-01 3.436138360000000e-04 4.430000000000000e-01 4.343651200000000e-05 5.600000000000001e-02 2.959888032000000e-03 3.816000000000000e+00 2.171825600000000e-03 2.800000000000000e+00 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_DEFAULT.dat deleted file mode 100644 index c846c70374..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_DEFAULT.dat +++ /dev/null @@ -1,58 +0,0 @@ -57 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR -57 MULT ATLASLUMI12 From d2e06228ae20df0c56d21c8b189009358ec22a1f Mon Sep 17 00:00:00 2001 From: Zahari Date: Wed, 10 Apr 2019 11:36:36 +0100 Subject: [PATCH 232/429] Remove positivity sets from available_datasets We should have a better naming convention for those and decide if we want them to look more like normal commondata (so with plotting files and such) or completely different. --- validphys2/src/validphys/loader.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/loader.py b/validphys2/src/validphys/loader.py index 5d2bc41a4c..b182c6f271 100644 --- a/validphys2/src/validphys/loader.py +++ b/validphys2/src/validphys/loader.py @@ -188,14 +188,17 @@ def available_theories(self): theory_token = 'theory_' return {folder.name[len(theory_token):] for folder in self.datapath.glob(theory_token+'*')} - @property @functools.lru_cache() def available_datasets(self): data_str = "DATA_" - return {file.stem[len(data_str):] for - file in self.commondata_folder.glob(data_str+"*.dat")} + # We filter out the positivity sets here + return { + file.stem[len(data_str) :] + for file in self.commondata_folder.glob(f'{data_str}*.dat') + if not file.stem.startswith(f"{data_str}POS") + } @property @functools.lru_cache() From 53f395e5f0c37a72fbbcaaa3deae0f2d6e04b1eb Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Wed, 10 Apr 2019 12:47:44 +0200 Subject: [PATCH 233/429] Cleanup --- .../DATA_ATLASTOPDIFF8TEVTTPTNORM.dat | 7 - .../commondata/DATA_CMSTOPDIFF8TEVTPTNORM.dat | 9 - nnpdfcpp/data/commondata/DATA_HERA1CCEM.dat | 35 -- nnpdfcpp/data/commondata/DATA_HERA1CCEP.dat | 35 -- nnpdfcpp/data/commondata/DATA_HERA1NCEM.dat | 146 ----- nnpdfcpp/data/commondata/DATA_HERA1NCEP.dat | 529 ------------------ ...STYPE_ATLASTOPDIFF8TEVTTPTNORM_DEFAULT.dat | 57 -- .../systypes/SYSTYPE_HERA1CCEM_DEFAULT.dat | 116 ---- .../systypes/SYSTYPE_HERA1CCEP_DEFAULT.dat | 116 ---- .../systypes/SYSTYPE_HERA1NCEM_DEFAULT.dat | 116 ---- .../systypes/SYSTYPE_HERA1NCEP_DEFAULT.dat | 116 ---- 11 files changed, 1282 deletions(-) delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPTNORM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_HERA1CCEM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_HERA1CCEP.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_HERA1NCEM.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_HERA1NCEP.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1CCEM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1CCEP_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1NCEM_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1NCEP_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM.dat b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM.dat deleted file mode 100644 index 80bee1796c..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM.dat +++ /dev/null @@ -1,7 +0,0 @@ -ATLASTOPDIFF8TEVTTPTNORM 56 6 - 1 HQP_PTQQ 1.000000000000000e+01 3.003289000000000e+04 8.000000000000000e+03 1.536633638400000e-02 5.928227200000000e-05 2.089584000000000e-06 1.350000000000000e-02 9.906176000000001e-06 6.400000000000000e-02 1.238272000000000e-06 8.000000000000000e-03 9.000689599999999e-05 5.814999999999999e-01 1.269228800000000e-05 8.199999999999999e-02 4.333952000000000e-06 2.800000000000000e-02 2.693241600000000e-05 1.740000000000000e-01 4.798304000000000e-06 3.100000000000000e-02 4.643519999999999e-07 3.000000000000000e-03 2.852669120000000e-04 1.843000000000000e+00 1.001452480000000e-04 6.470000000000000e-01 4.333952000000000e-06 2.800000000000000e-02 9.287040000000000e-07 6.000000000000000e-03 1.547840000000000e-07 1.000000000000000e-03 1.578796800000000e-05 1.020000000000000e-01 6.191360000000001e-07 4.000000000000000e-03 2.321759999999999e-07 1.500000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 2.244367999999999e-05 1.450000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.238272000000000e-06 8.000000000000000e-03 8.048768000000001e-06 5.200000000000000e-02 6.500928000000000e-06 4.200000000000000e-02 5.572223999999998e-06 3.599999999999999e-02 3.095680000000000e-07 2.000000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 2.341881920000000e-04 1.513000000000000e+00 1.424012800000000e-05 9.200000000000000e-02 2.940896000000000e-06 1.900000000000000e-02 5.804399999999999e-06 3.749999999999999e-02 7.739199999999999e-07 4.999999999999999e-03 8.358335999999999e-06 5.400000000000000e-02 1.547840000000000e-07 1.000000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 2.817068800000000e-05 1.820000000000000e-01 2.120540800000000e-05 1.370000000000000e-01 1.083488000000000e-05 6.999999999999999e-02 6.802756800000000e-05 4.395000000000000e-01 1.547840000000000e-07 1.000000000000000e-03 3.792208000000000e-05 2.450000000000000e-01 2.005226720000000e-04 1.295500000000000e+00 6.500928000000001e-06 4.200000000000000e-02 4.666737600000000e-04 3.015000000000000e+00 1.662380160000000e-04 1.074000000000000e+00 3.405248000000000e-06 2.200000000000000e-02 4.643519999999999e-07 3.000000000000000e-03 6.965279999999999e-06 4.500000000000000e-02 1.315664000000000e-06 8.499999999999999e-03 2.964113600000000e-05 1.915000000000000e-01 3.188550400000000e-05 2.060000000000000e-01 1.191836800000000e-05 7.699999999999999e-02 1.450326080000000e-04 9.369999999999998e-01 2.708720000000000e-06 1.750000000000000e-02 1.439491200000000e-05 9.300000000000000e-02 8.513119999999999e-07 5.500000000000000e-03 2.044696640000000e-04 1.321000000000000e+00 - 2 HQP_PTQQ 3.250000000000000e+01 3.003289000000000e+04 8.000000000000000e+03 1.165863734750000e-02 2.109464500000000e-05 7.575425000000001e-07 6.500000000000001e-03 5.827250000000000e-07 5.000000000000000e-03 1.048905000000000e-06 8.999999999999999e-03 3.274914500000000e-05 2.810000000000000e-01 8.158150000000001e-06 7.000000000000001e-02 8.158150000000001e-07 7.000000000000001e-03 8.274695000000002e-06 7.100000000000001e-02 8.158150000000000e-07 7.000000000000000e-03 1.165450000000000e-07 1.000000000000000e-03 2.389172500000000e-06 2.050000000000000e-02 3.271418150000000e-04 2.807000000000000e+00 2.330900000000000e-07 2.000000000000000e-03 1.748175000000000e-07 1.500000000000000e-03 1.165450000000000e-07 1.000000000000000e-03 1.089695750000000e-05 9.350000000000000e-02 2.330900000000000e-07 2.000000000000000e-03 2.330900000000000e-07 2.000000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 5.361070000000000e-06 4.600000000000000e-02 1.864720000000000e-06 1.600000000000000e-02 1.165450000000000e-06 1.000000000000000e-02 9.323600000000000e-07 8.000000000000000e-03 6.992699999999999e-07 6.000000000000000e-03 1.281995000000000e-06 1.100000000000000e-02 1.165450000000000e-07 1.000000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 8.181459000000000e-05 7.020000000000001e-01 3.729440000000000e-06 3.200000000000000e-02 1.631630000000000e-06 1.400000000000000e-02 2.913625000000000e-07 2.500000000000000e-03 1.165450000000000e-07 1.000000000000000e-03 1.573357500000000e-06 1.350000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.447445000000000e-06 2.100000000000000e-02 1.316958500000000e-05 1.130000000000000e-01 5.827250000000000e-07 5.000000000000000e-03 1.771484000000000e-05 1.520000000000000e-01 1.165450000000000e-07 1.000000000000000e-03 3.834330500000000e-05 3.290000000000000e-01 5.291143000000000e-05 4.540000000000000e-01 3.612895000000000e-06 3.100000000000000e-02 8.612675500000000e-05 7.390000000000000e-01 6.217675750000000e-05 5.335000000000001e-01 1.515085000000000e-06 1.300000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.223722500000000e-06 1.050000000000000e-02 4.661800000000000e-07 4.000000000000000e-03 8.740875000000000e-06 7.500000000000000e-02 1.474294250000000e-05 1.265000000000000e-01 5.477615000000000e-06 4.700000000000000e-02 4.661800000000000e-05 4.000000000000000e-01 1.981265000000000e-06 1.700000000000000e-02 5.244525000000000e-06 4.500000000000000e-02 4.428710000000000e-06 3.800000000000001e-02 6.864500500000001e-05 5.890000000000001e-01 - 3 HQP_PTQQ 6.000000000000000e+01 3.003289000000000e+04 8.000000000000000e+03 5.853003229900001e-03 1.984749580000000e-05 2.910190000000000e-07 5.000000000000000e-03 3.317616600000000e-06 5.700000000000001e-02 2.328152000000000e-07 4.000000000000000e-03 1.364879110000000e-05 2.345000000000000e-01 2.328152000000000e-07 4.000000000000000e-03 9.312608000000001e-07 1.600000000000000e-02 5.994991399999999e-06 1.030000000000000e-01 1.309585500000000e-06 2.250000000000000e-02 4.365285000000000e-07 7.500000000000000e-03 8.148532000000001e-05 1.400000000000000e+00 9.254404200000000e-05 1.590000000000000e+00 1.687910200000000e-06 2.900000000000000e-02 8.730570000000000e-08 1.500000000000000e-03 1.746114000000000e-07 3.000000000000000e-03 2.124438700000000e-06 3.650000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 4.947323000000000e-07 8.500000000000001e-03 0.000000000000000e+00 0.000000000000000e+00 4.714507799999999e-06 8.099999999999999e-02 5.820379999999999e-07 9.999999999999998e-03 1.105872200000000e-06 1.900000000000000e-02 2.037133000000000e-06 3.500000000000000e-02 2.211744400000000e-06 3.800000000000000e-02 8.730570000000000e-07 1.500000000000000e-02 2.910190000000000e-08 5.000000000000000e-04 0.000000000000000e+00 0.000000000000000e+00 3.934576880000001e-05 6.760000000000002e-01 3.725043200000000e-06 6.400000000000000e-02 8.730570000000000e-08 1.500000000000000e-03 2.124438700000000e-06 3.650000000000000e-02 8.730570000000000e-08 1.500000000000000e-03 2.066234900000000e-06 3.550000000000000e-02 8.730570000000000e-08 1.500000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 8.294041499999999e-06 1.425000000000000e-01 2.328152000000000e-06 4.000000000000000e-02 3.143005200000000e-06 5.400000000000000e-02 1.594784120000000e-05 2.740000000000000e-01 5.820380000000001e-08 1.000000000000000e-03 1.146614860000000e-05 1.970000000000000e-01 4.452590700000000e-05 7.650000000000000e-01 1.338687400000000e-06 2.300000000000000e-02 9.405734080000001e-05 1.616000000000000e+00 2.435829030000000e-05 4.185000000000000e-01 1.862521600000000e-06 3.200000000000000e-02 1.746114000000000e-07 3.000000000000000e-03 2.299050100000000e-06 3.949999999999999e-02 1.164076000000000e-07 2.000000000000000e-03 6.489723700000000e-06 1.115000000000000e-01 2.037133000000000e-06 3.500000000000000e-02 9.021589000000000e-07 1.550000000000000e-02 2.703566510000000e-05 4.645000000000000e-01 6.111399000000000e-07 1.050000000000000e-02 4.772711600000001e-06 8.200000000000000e-02 2.764680500000000e-06 4.750000000000000e-02 3.693031110000000e-05 6.345000000000000e-01 - 4 HQP_PTQQ 9.750000000000000e+01 3.003289000000000e+04 8.000000000000000e+03 2.684057888000000e-03 1.399731050000000e-05 4.415977500000000e-07 1.650000000000000e-02 2.315042750000000e-06 8.649999999999999e-02 6.690875000000001e-07 2.500000000000000e-02 2.202636050000000e-05 8.230000000000001e-01 3.987761500000000e-06 1.490000000000000e-01 1.150830500000000e-06 4.300000000000000e-02 6.945128250000001e-06 2.595000000000001e-01 8.564320000000001e-07 3.200000000000000e-02 1.873445000000000e-07 6.999999999999999e-03 4.422668375000000e-05 1.652500000000000e+00 4.316952549999999e-05 1.613000000000000e+00 1.017013000000000e-06 3.800000000000000e-02 1.204357500000000e-07 4.500000000000000e-03 6.690875000000001e-08 2.500000000000000e-03 5.526662750000001e-06 2.065000000000000e-01 1.070540000000000e-07 4.000000000000000e-03 2.542532500000000e-07 9.500000000000001e-03 0.000000000000000e+00 0.000000000000000e+00 5.218882500000001e-06 1.950000000000000e-01 1.873445000000001e-07 7.000000000000001e-03 2.676350000000000e-08 1.000000000000000e-03 1.739627500000000e-06 6.500000000000000e-02 1.605810000000000e-06 6.000000000000000e-02 1.043776500000000e-06 3.900000000000001e-02 5.352700000000001e-08 2.000000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 5.823737600000001e-05 2.176000000000000e+00 3.787035250000001e-06 1.415000000000000e-01 5.218882500000000e-07 1.950000000000000e-02 6.021787500000001e-07 2.250000000000000e-02 1.070540000000000e-07 4.000000000000000e-03 1.686100500000000e-06 6.300000000000000e-02 2.676350000000000e-08 1.000000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 5.312554750000001e-06 1.985000000000000e-01 3.345437500000000e-06 1.250000000000000e-01 2.060789500000001e-06 7.700000000000001e-02 1.696805900000000e-05 6.340000000000001e-01 2.676350000000000e-08 1.000000000000000e-03 2.756640500000000e-06 1.030000000000000e-01 3.912823700000001e-05 1.462000000000000e+00 2.301661000000000e-06 8.599999999999999e-02 3.950292600000000e-05 1.476000000000000e+00 4.089462800000000e-05 1.528000000000000e+00 4.817430000000000e-07 1.800000000000000e-02 5.352700000000001e-08 2.000000000000000e-03 2.074171250000001e-06 7.750000000000001e-02 2.408715000000000e-07 8.999999999999999e-03 7.413489500000001e-06 2.770000000000000e-01 7.078945750000002e-06 2.645000000000001e-01 3.051039000000001e-06 1.140000000000000e-01 3.605043450000000e-05 1.347000000000000e+00 1.873445000000001e-07 7.000000000000001e-03 3.559545500000000e-06 1.330000000000000e-01 7.226144999999999e-07 2.700000000000000e-02 5.184089950000000e-05 1.937000000000000e+00 - 5 HQP_PTQQ 1.550000000000000e+02 3.003289000000000e+04 8.000000000000000e+03 1.029768947500000e-03 8.182641200000001e-06 2.569925000000000e-07 2.500000000000000e-02 3.854887500000000e-07 3.750000000000000e-02 8.840541999999999e-07 8.599999999999999e-02 1.236133925000000e-05 1.202500000000000e+00 3.047931050000001e-06 2.965000000000000e-01 4.523068000000000e-07 4.400000000000000e-02 2.939994200000000e-06 2.860000000000000e-01 2.364331000000000e-07 2.300000000000000e-02 2.055940000000001e-07 2.000000000000000e-02 1.276224755000000e-05 1.241500000000000e+00 6.593399580000002e-05 6.414000000000001e+00 3.597895000000000e-08 3.500000000000001e-03 9.765715000000000e-08 9.500000000000000e-03 4.625865000000001e-08 4.500000000000001e-03 2.898875400000000e-06 2.820000000000000e-01 1.027970000000000e-07 1.000000000000000e-02 2.929714500000000e-07 2.850000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 2.292373100000001e-06 2.230000000000000e-01 3.186707000000001e-07 3.100000000000001e-02 5.345444000000000e-07 5.200000000000000e-02 5.139850000000001e-07 5.000000000000001e-02 3.392301000000000e-07 3.300000000000000e-02 6.579008000000000e-07 6.400000000000000e-02 6.681805000000001e-08 6.500000000000001e-03 0.000000000000000e+00 0.000000000000000e+00 3.039707290000000e-05 2.957000000000000e+00 1.248983550000000e-06 1.215000000000000e-01 6.784602000000000e-07 6.600000000000000e-02 1.696150500000000e-07 1.650000000000000e-02 9.251729999999998e-08 8.999999999999999e-03 7.555579500000002e-07 7.350000000000001e-02 5.139850000000000e-09 5.000000000000000e-04 0.000000000000000e+00 0.000000000000000e+00 1.336361000000000e-06 1.300000000000000e-01 5.175828950000001e-06 5.035000000000001e-01 5.345444000000000e-07 5.200000000000000e-02 6.501910250000001e-06 6.325000000000001e-01 1.027970000000000e-08 1.000000000000000e-03 3.896006300000000e-06 3.790000000000000e-01 2.055426015000000e-05 1.999500000000000e+00 9.148933000000002e-07 8.900000000000001e-02 1.729045540000000e-05 1.682000000000000e+00 2.328352050000001e-05 2.265000000000001e+00 4.523068000000000e-07 4.400000000000000e-02 1.027970000000000e-08 1.000000000000000e-03 4.266075500000000e-07 4.150000000000000e-02 2.055940000000001e-07 2.000000000000000e-02 3.135308500000000e-06 3.050000000000000e-01 5.658974850000001e-06 5.505000000000001e-01 2.220415200000000e-06 2.160000000000000e-01 1.742923135000000e-05 1.695500000000000e+00 7.709774999999999e-07 7.500000000000000e-02 2.035380600000000e-06 1.980000000000000e-01 1.798947500000000e-06 1.750000000000000e-01 2.495397175000000e-05 2.427500000000000e+00 - 6 HQP_PTQQ 2.450000000000000e+02 3.003289000000000e+04 8.000000000000000e+03 2.980070190250000e-04 4.550393050000000e-06 1.180595250000000e-07 4.049999999999999e-02 2.434066750000000e-07 8.350000000000000e-02 3.177404500000000e-07 1.090000000000000e-01 3.257568375000000e-06 1.117500000000000e+00 6.762916000000001e-07 2.320000000000000e-01 5.538595000000000e-08 1.900000000000000e-02 3.906167000000000e-07 1.340000000000000e-01 2.623545000000000e-07 9.000000000000000e-02 1.370073500000000e-07 4.700000000000000e-02 2.422406550000000e-06 8.310000000000000e-01 2.621504465000000e-05 8.993000000000000e+00 7.141872500000001e-08 2.450000000000000e-02 8.745150000000002e-08 3.000000000000001e-02 4.372575000000000e-08 1.500000000000000e-02 6.966969500000000e-07 2.390000000000000e-01 5.538595000000000e-08 1.900000000000000e-02 1.778180500000000e-07 6.100000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 3.877016500000001e-07 1.330000000000000e-01 3.323157000000000e-07 1.140000000000000e-01 5.101337500000000e-07 1.750000000000000e-01 4.955585000000000e-08 1.700000000000000e-02 1.719879500000000e-07 5.900000000000001e-02 2.302889500000000e-07 7.900000000000000e-02 2.332040000000000e-08 8.000000000000000e-03 0.000000000000000e+00 0.000000000000000e+00 7.275964800000000e-06 2.496000000000000e+00 3.060802500000000e-08 1.050000000000000e-02 3.075377750000000e-07 1.055000000000000e-01 2.113411250000000e-07 7.250000000000000e-02 3.935317500000001e-08 1.350000000000000e-02 1.180595250000000e-07 4.050000000000000e-02 1.457525000000000e-08 5.000000000000001e-03 0.000000000000000e+00 0.000000000000000e+00 4.357999750000000e-07 1.495000000000000e-01 3.047684775000000e-06 1.045500000000000e+00 1.749030000000000e-08 6.000000000000001e-03 7.987237000000001e-07 2.740000000000000e-01 2.332040000000000e-08 8.000000000000000e-03 1.818991200000000e-06 6.240000000000000e-01 7.073368825000000e-06 2.426500000000000e+00 1.136869500000000e-07 3.900000000000000e-02 1.079443015000000e-05 3.703000000000000e+00 6.295050474999999e-06 2.159500000000000e+00 1.749030000000000e-07 6.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 2.594394500000000e-07 8.900000000000000e-02 9.182407500000001e-08 3.150000000000000e-02 5.217939500000000e-07 1.790000000000000e-01 2.235843350000001e-06 7.670000000000001e-01 5.378267250000000e-07 1.845000000000000e-01 3.630694775000000e-06 1.245500000000000e+00 5.830099999999999e-07 2.000000000000000e-01 1.142699600000000e-06 3.920000000000000e-01 5.742648500000000e-07 1.970000000000000e-01 5.484666575000001e-06 1.881500000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPTNORM.dat b/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPTNORM.dat deleted file mode 100644 index 848cf0c902..0000000000 --- a/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPTNORM.dat +++ /dev/null @@ -1,9 +0,0 @@ -CMSTOPDIFF8TEVTPTNORM 19 8 - 1 HQP_PTQ 2.625000000000000e+01 3.003289000000000e+04 8.000000000000000e+03 4.140000000000000e-03 0.000000000000000e+00 -3.727486332856683e-05 -9.003590175982327e-01 -2.925107915323931e-05 -7.065478056337998e-01 -1.824709056840218e-05 -4.407509799130963e-01 -6.361152568520361e-06 -1.536510282251295e-01 -2.307464505696323e-06 -5.573585762551506e-02 -1.414999387265623e-06 -3.417872916100538e-02 0.000000000000000e+00 0.000000000000000e+00 -4.671513397078143e-07 -1.128384878521291e-02 4.140000000000000e-06 1.000000000000000e-01 9.935999999999998e-05 2.400000000000000e+00 4.140000000000000e-06 1.000000000000000e-01 2.070000000000000e-05 5.000000000000000e-01 3.726000000000000e-05 9.000000000000000e-01 4.140000000000000e-06 1.000000000000000e-01 6.209999999999999e-05 1.500000000000000e+00 2.898000000000000e-05 7.000000000000000e-01 7.452000000000000e-05 1.800000000000000e+00 1.656000000000000e-05 4.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 2 HQP_PTQ 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a/nnpdfcpp/data/commondata/DATA_HERA1NCEP.dat b/nnpdfcpp/data/commondata/DATA_HERA1NCEP.dat deleted file mode 100644 index c942308925..0000000000 --- a/nnpdfcpp/data/commondata/DATA_HERA1NCEP.dat +++ /dev/null @@ -1,529 +0,0 @@ -HERA1NCEP 115 528 - 1 DIS_NCP 6.210000000000000e-07 4.500000000000000e-02 8.030000000000000e-01 8.000000000000000e-02 4.040000000000000e-03 1.200000000000000e-03 1.500000000000000e+00 2.264000000000000e-03 2.830000000000000e+00 1.824000000000000e-03 2.280000000000000e+00 9.119999999999999e-04 1.140000000000000e+00 4.000000000000000e-04 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 -3.360000000000000e-04 -4.200000000000000e-01 6.400000000000001e-05 8.000000000000000e-02 8.000000000000001e-06 1.000000000000000e-02 1.600000000000000e-05 2.000000000000000e-02 1.920000000000000e-04 2.400000000000000e-01 -1.520000000000000e-04 -1.900000000000000e-01 -3.680000000000000e-04 -4.600000000000000e-01 -1.360000000000000e-04 -1.700000000000000e-01 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-2.700000000000000e-01 2.010000000000000e-04 1.000000000000000e-01 4.422000000000000e-04 2.200000000000000e-01 -6.231000000000000e-04 -3.100000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 2.211000000000000e-04 1.100000000000000e-01 2.010000000000000e-04 1.000000000000000e-01 2.010000000000000e-05 1.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 2.010000000000000e-05 1.000000000000000e-02 3.618000000000001e-04 1.800000000000000e-01 4.221000000000000e-04 2.100000000000000e-01 -6.030000000000000e-05 -3.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 5.025000000000000e-04 2.500000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 15 DIS_NCP 4.140000000000000e-06 1.500000000000000e-01 4.020000000000000e-01 1.870000000000000e-01 3.683900000000000e-03 1.552100000000000e-03 8.300000000000000e-01 1.533400000000000e-03 8.200000000000000e-01 2.057000000000000e-04 1.100000000000000e-01 3.179000000000000e-04 1.700000000000000e-01 9.350000000000001e-04 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 -8.041000000000000e-04 -4.300000000000000e-01 2.057000000000000e-04 1.100000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 -7.480000000000000e-05 -4.000000000000000e-02 2.805000000000000e-04 1.500000000000000e-01 3.740000000000000e-05 2.000000000000000e-02 -8.789000000000000e-04 -4.700000000000000e-01 -2.244000000000000e-04 -1.200000000000000e-01 -9.911000000000000e-04 -5.300000000000000e-01 -9.350000000000001e-05 -5.000000000000000e-02 4.114000000000000e-04 2.200000000000000e-01 -1.346400000000000e-03 -7.200000000000000e-01 -2.431000000000000e-04 -1.300000000000000e-01 -1.496000000000000e-03 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-1.000000000000000e-02 -1.496000000000000e-04 -8.000000000000000e-02 -3.740000000000000e-05 -2.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.870000000000000e-05 1.000000000000000e-02 -1.122000000000000e-04 -6.000000000000000e-02 2.431000000000000e-04 1.300000000000000e-01 5.609999999999999e-05 3.000000000000000e-02 1.870000000000000e-04 1.000000000000000e-01 -2.244000000000000e-04 -1.200000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 1.870000000000000e-05 1.000000000000000e-02 -1.870000000000000e-05 -1.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 -1.870000000000000e-05 -1.000000000000000e-02 1.383800000000000e-03 7.400000000000000e-01 1.009800000000000e-03 5.400000000000000e-01 1.309000000000000e-04 7.000000000000001e-02 -1.870000000000000e-05 -1.000000000000000e-02 3.740000000000000e-05 2.000000000000000e-02 4.301000000000000e-04 2.300000000000000e-01 4.114000000000000e-04 2.200000000000000e-01 -5.609999999999999e-05 -3.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 1.309000000000000e-04 7.000000000000001e-02 0.000000000000000e+00 0.000000000000000e+00 - 16 DIS_NCP 5.020000000000000e-06 1.500000000000000e-01 2.950000000000000e-01 1.850000000000000e-01 7.011500000000000e-03 2.775000000000000e-03 1.500000000000000e+00 2.460500000000000e-03 1.330000000000000e+00 -4.440000000000000e-04 -2.400000000000000e-01 5.920000000000001e-04 3.200000000000000e-01 9.250000000000000e-04 5.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 -7.769999999999999e-04 -4.200000000000000e-01 2.220000000000000e-04 1.200000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 -3.700000000000000e-05 -2.000000000000000e-02 7.400000000000001e-05 4.000000000000000e-02 1.110000000000000e-04 6.000000000000000e-02 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-2.405000000000000e-04 -1.300000000000000e-01 1.850000000000000e-05 1.000000000000000e-02 2.405000000000000e-04 1.300000000000000e-01 -1.850000000000000e-05 -1.000000000000000e-02 1.665000000000000e-04 9.000000000000000e-02 1.165500000000000e-03 6.300000000000000e-01 1.480000000000000e-04 8.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 1.850000000000000e-04 1.000000000000000e-01 3.700000000000000e-05 2.000000000000000e-02 5.549999999999999e-05 3.000000000000000e-02 -3.700000000000000e-05 -2.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 -2.405000000000000e-04 -1.300000000000000e-01 -1.295000000000000e-04 -7.000000000000001e-02 0.000000000000000e+00 0.000000000000000e+00 2.590000000000000e-04 1.400000000000000e-01 -4.440000000000000e-04 -2.400000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -2.960000000000000e-04 -1.600000000000000e-01 -1.665000000000000e-04 -9.000000000000000e-02 -1.850000000000000e-05 -1.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 3.700000000000000e-05 2.000000000000000e-02 -9.250000000000000e-05 -5.000000000000000e-02 1.850000000000000e-05 1.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 -1.850000000000000e-05 -1.000000000000000e-02 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 -1.850000000000000e-04 -1.000000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 - 17 DIS_NCP 3.150000000000000e-06 2.000000000000000e-01 7.040000000000000e-01 2.500000000000000e-01 6.200000000000000e-03 2.350000000000000e-03 9.399999999999999e-01 4.725000000000000e-03 1.890000000000000e+00 3.750000000000000e-03 1.500000000000000e+00 2.475000000000000e-03 9.900000000000000e-01 1.250000000000000e-03 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-1.500000000000000e-01 -3.611999999999999e-04 -4.200000000000000e-01 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_DEFAULT.dat deleted file mode 100644 index bc40eee982..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_DEFAULT.dat +++ /dev/null @@ -1,57 +0,0 @@ -56 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1CCEM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1CCEM_DEFAULT.dat deleted file mode 100644 index 4a0d5ad5ce..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1CCEM_DEFAULT.dat +++ /dev/null @@ -1,116 +0,0 @@ -115 -1 ADD UNCORR -2 ADD HERA1PROC1 -3 ADD HERA1PROC2 -4 ADD HERA1PROC3 -5 MULT HERA1NORM -6 ADD HERA1CORRSYS1 -7 ADD HERA1CORRSYS2 -8 ADD HERA1CORRSYS3 -9 ADD HERA1CORRSYS4 -10 ADD HERA1CORRSYS5 -11 ADD HERA1CORRSYS6 -12 ADD HERA1CORRSYS7 -13 ADD HERA1CORRSYS8 -14 ADD HERA1CORRSYS9 -15 ADD HERA1CORRSYS10 -16 ADD HERA1CORRSYS11 -17 ADD HERA1CORRSYS12 -18 ADD HERA1CORRSYS13 -19 ADD HERA1CORRSYS14 -20 ADD HERA1CORRSYS15 -21 ADD HERA1CORRSYS16 -22 ADD HERA1CORRSYS17 -23 ADD HERA1CORRSYS18 -24 ADD HERA1CORRSYS19 -25 ADD HERA1CORRSYS20 -26 ADD HERA1CORRSYS21 -27 ADD HERA1CORRSYS22 -28 ADD HERA1CORRSYS23 -29 ADD HERA1CORRSYS24 -30 ADD HERA1CORRSYS25 -31 ADD HERA1CORRSYS26 -32 ADD HERA1CORRSYS27 -33 ADD HERA1CORRSYS28 -34 ADD HERA1CORRSYS29 -35 ADD HERA1CORRSYS30 -36 ADD HERA1CORRSYS31 -37 ADD HERA1CORRSYS32 -38 ADD HERA1CORRSYS33 -39 ADD HERA1CORRSYS34 -40 ADD HERA1CORRSYS35 -41 ADD HERA1CORRSYS36 -42 ADD HERA1CORRSYS37 -43 ADD HERA1CORRSYS38 -44 ADD HERA1CORRSYS39 -45 ADD HERA1CORRSYS40 -46 ADD HERA1CORRSYS41 -47 ADD HERA1CORRSYS42 -48 ADD HERA1CORRSYS43 -49 ADD HERA1CORRSYS44 -50 ADD HERA1CORRSYS45 -51 ADD HERA1CORRSYS46 -52 ADD HERA1CORRSYS47 -53 ADD HERA1CORRSYS48 -54 ADD HERA1CORRSYS49 -55 ADD HERA1CORRSYS50 -56 ADD HERA1CORRSYS51 -57 ADD HERA1CORRSYS52 -58 ADD HERA1CORRSYS53 -59 ADD HERA1CORRSYS54 -60 ADD HERA1CORRSYS55 -61 ADD HERA1CORRSYS56 -62 ADD HERA1CORRSYS57 -63 ADD HERA1CORRSYS58 -64 ADD HERA1CORRSYS59 -65 ADD HERA1CORRSYS60 -66 ADD HERA1CORRSYS61 -67 ADD HERA1CORRSYS62 -68 ADD HERA1CORRSYS63 -69 ADD HERA1CORRSYS64 -70 ADD HERA1CORRSYS65 -71 ADD HERA1CORRSYS66 -72 ADD HERA1CORRSYS67 -73 ADD HERA1CORRSYS68 -74 ADD HERA1CORRSYS69 -75 ADD HERA1CORRSYS70 -76 ADD HERA1CORRSYS71 -77 ADD HERA1CORRSYS72 -78 ADD HERA1CORRSYS73 -79 ADD HERA1CORRSYS74 -80 ADD HERA1CORRSYS75 -81 ADD HERA1CORRSYS76 -82 ADD HERA1CORRSYS77 -83 ADD HERA1CORRSYS78 -84 ADD HERA1CORRSYS79 -85 ADD HERA1CORRSYS80 -86 ADD HERA1CORRSYS81 -87 ADD HERA1CORRSYS82 -88 ADD HERA1CORRSYS83 -89 ADD HERA1CORRSYS84 -90 ADD HERA1CORRSYS85 -91 ADD HERA1CORRSYS86 -92 ADD HERA1CORRSYS87 -93 ADD HERA1CORRSYS88 -94 ADD HERA1CORRSYS89 -95 ADD HERA1CORRSYS90 -96 ADD HERA1CORRSYS91 -97 ADD HERA1CORRSYS92 -98 ADD HERA1CORRSYS93 -99 ADD HERA1CORRSYS94 -100 ADD HERA1CORRSYS95 -101 ADD HERA1CORRSYS96 -102 ADD HERA1CORRSYS97 -103 ADD HERA1CORRSYS98 -104 ADD HERA1CORRSYS99 -105 ADD HERA1CORRSYS100 -106 ADD HERA1CORRSYS101 -107 ADD HERA1CORRSYS102 -108 ADD HERA1CORRSYS103 -109 ADD HERA1CORRSYS104 -110 ADD HERA1CORRSYS105 -111 ADD HERA1CORRSYS106 -112 ADD HERA1CORRSYS107 -113 ADD HERA1CORRSYS108 -114 ADD HERA1CORRSYS109 -115 ADD HERA1CORRSYS110 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1CCEP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1CCEP_DEFAULT.dat deleted file mode 100644 index 4a0d5ad5ce..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1CCEP_DEFAULT.dat +++ /dev/null @@ -1,116 +0,0 @@ -115 -1 ADD UNCORR -2 ADD HERA1PROC1 -3 ADD HERA1PROC2 -4 ADD HERA1PROC3 -5 MULT HERA1NORM -6 ADD HERA1CORRSYS1 -7 ADD HERA1CORRSYS2 -8 ADD HERA1CORRSYS3 -9 ADD HERA1CORRSYS4 -10 ADD HERA1CORRSYS5 -11 ADD HERA1CORRSYS6 -12 ADD HERA1CORRSYS7 -13 ADD HERA1CORRSYS8 -14 ADD HERA1CORRSYS9 -15 ADD HERA1CORRSYS10 -16 ADD HERA1CORRSYS11 -17 ADD HERA1CORRSYS12 -18 ADD HERA1CORRSYS13 -19 ADD HERA1CORRSYS14 -20 ADD HERA1CORRSYS15 -21 ADD HERA1CORRSYS16 -22 ADD 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HERA1CORRSYS60 -66 ADD HERA1CORRSYS61 -67 ADD HERA1CORRSYS62 -68 ADD HERA1CORRSYS63 -69 ADD HERA1CORRSYS64 -70 ADD HERA1CORRSYS65 -71 ADD HERA1CORRSYS66 -72 ADD HERA1CORRSYS67 -73 ADD HERA1CORRSYS68 -74 ADD HERA1CORRSYS69 -75 ADD HERA1CORRSYS70 -76 ADD HERA1CORRSYS71 -77 ADD HERA1CORRSYS72 -78 ADD HERA1CORRSYS73 -79 ADD HERA1CORRSYS74 -80 ADD HERA1CORRSYS75 -81 ADD HERA1CORRSYS76 -82 ADD HERA1CORRSYS77 -83 ADD HERA1CORRSYS78 -84 ADD HERA1CORRSYS79 -85 ADD HERA1CORRSYS80 -86 ADD HERA1CORRSYS81 -87 ADD HERA1CORRSYS82 -88 ADD HERA1CORRSYS83 -89 ADD HERA1CORRSYS84 -90 ADD HERA1CORRSYS85 -91 ADD HERA1CORRSYS86 -92 ADD HERA1CORRSYS87 -93 ADD HERA1CORRSYS88 -94 ADD HERA1CORRSYS89 -95 ADD HERA1CORRSYS90 -96 ADD HERA1CORRSYS91 -97 ADD HERA1CORRSYS92 -98 ADD HERA1CORRSYS93 -99 ADD HERA1CORRSYS94 -100 ADD HERA1CORRSYS95 -101 ADD HERA1CORRSYS96 -102 ADD HERA1CORRSYS97 -103 ADD HERA1CORRSYS98 -104 ADD HERA1CORRSYS99 -105 ADD HERA1CORRSYS100 -106 ADD HERA1CORRSYS101 -107 ADD HERA1CORRSYS102 -108 ADD HERA1CORRSYS103 -109 ADD HERA1CORRSYS104 -110 ADD HERA1CORRSYS105 -111 ADD HERA1CORRSYS106 -112 ADD HERA1CORRSYS107 -113 ADD HERA1CORRSYS108 -114 ADD HERA1CORRSYS109 -115 ADD HERA1CORRSYS110 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1NCEM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1NCEM_DEFAULT.dat deleted file mode 100644 index 4a0d5ad5ce..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1NCEM_DEFAULT.dat +++ /dev/null @@ -1,116 +0,0 @@ -115 -1 ADD UNCORR -2 ADD HERA1PROC1 -3 ADD HERA1PROC2 -4 ADD HERA1PROC3 -5 MULT HERA1NORM -6 ADD HERA1CORRSYS1 -7 ADD HERA1CORRSYS2 -8 ADD HERA1CORRSYS3 -9 ADD HERA1CORRSYS4 -10 ADD HERA1CORRSYS5 -11 ADD HERA1CORRSYS6 -12 ADD HERA1CORRSYS7 -13 ADD HERA1CORRSYS8 -14 ADD HERA1CORRSYS9 -15 ADD HERA1CORRSYS10 -16 ADD HERA1CORRSYS11 -17 ADD HERA1CORRSYS12 -18 ADD HERA1CORRSYS13 -19 ADD HERA1CORRSYS14 -20 ADD HERA1CORRSYS15 -21 ADD HERA1CORRSYS16 -22 ADD HERA1CORRSYS17 -23 ADD HERA1CORRSYS18 -24 ADD HERA1CORRSYS19 -25 ADD HERA1CORRSYS20 -26 ADD HERA1CORRSYS21 -27 ADD HERA1CORRSYS22 -28 ADD HERA1CORRSYS23 -29 ADD HERA1CORRSYS24 -30 ADD HERA1CORRSYS25 -31 ADD HERA1CORRSYS26 -32 ADD HERA1CORRSYS27 -33 ADD HERA1CORRSYS28 -34 ADD HERA1CORRSYS29 -35 ADD HERA1CORRSYS30 -36 ADD HERA1CORRSYS31 -37 ADD HERA1CORRSYS32 -38 ADD HERA1CORRSYS33 -39 ADD HERA1CORRSYS34 -40 ADD HERA1CORRSYS35 -41 ADD HERA1CORRSYS36 -42 ADD HERA1CORRSYS37 -43 ADD HERA1CORRSYS38 -44 ADD HERA1CORRSYS39 -45 ADD HERA1CORRSYS40 -46 ADD HERA1CORRSYS41 -47 ADD HERA1CORRSYS42 -48 ADD HERA1CORRSYS43 -49 ADD HERA1CORRSYS44 -50 ADD HERA1CORRSYS45 -51 ADD HERA1CORRSYS46 -52 ADD HERA1CORRSYS47 -53 ADD HERA1CORRSYS48 -54 ADD HERA1CORRSYS49 -55 ADD HERA1CORRSYS50 -56 ADD HERA1CORRSYS51 -57 ADD HERA1CORRSYS52 -58 ADD HERA1CORRSYS53 -59 ADD HERA1CORRSYS54 -60 ADD HERA1CORRSYS55 -61 ADD HERA1CORRSYS56 -62 ADD HERA1CORRSYS57 -63 ADD HERA1CORRSYS58 -64 ADD HERA1CORRSYS59 -65 ADD HERA1CORRSYS60 -66 ADD HERA1CORRSYS61 -67 ADD HERA1CORRSYS62 -68 ADD HERA1CORRSYS63 -69 ADD HERA1CORRSYS64 -70 ADD HERA1CORRSYS65 -71 ADD HERA1CORRSYS66 -72 ADD HERA1CORRSYS67 -73 ADD HERA1CORRSYS68 -74 ADD HERA1CORRSYS69 -75 ADD HERA1CORRSYS70 -76 ADD HERA1CORRSYS71 -77 ADD HERA1CORRSYS72 -78 ADD HERA1CORRSYS73 -79 ADD HERA1CORRSYS74 -80 ADD HERA1CORRSYS75 -81 ADD HERA1CORRSYS76 -82 ADD HERA1CORRSYS77 -83 ADD HERA1CORRSYS78 -84 ADD HERA1CORRSYS79 -85 ADD HERA1CORRSYS80 -86 ADD HERA1CORRSYS81 -87 ADD HERA1CORRSYS82 -88 ADD HERA1CORRSYS83 -89 ADD HERA1CORRSYS84 -90 ADD HERA1CORRSYS85 -91 ADD HERA1CORRSYS86 -92 ADD HERA1CORRSYS87 -93 ADD HERA1CORRSYS88 -94 ADD HERA1CORRSYS89 -95 ADD HERA1CORRSYS90 -96 ADD HERA1CORRSYS91 -97 ADD HERA1CORRSYS92 -98 ADD HERA1CORRSYS93 -99 ADD HERA1CORRSYS94 -100 ADD HERA1CORRSYS95 -101 ADD HERA1CORRSYS96 -102 ADD HERA1CORRSYS97 -103 ADD HERA1CORRSYS98 -104 ADD HERA1CORRSYS99 -105 ADD HERA1CORRSYS100 -106 ADD HERA1CORRSYS101 -107 ADD HERA1CORRSYS102 -108 ADD HERA1CORRSYS103 -109 ADD HERA1CORRSYS104 -110 ADD HERA1CORRSYS105 -111 ADD HERA1CORRSYS106 -112 ADD HERA1CORRSYS107 -113 ADD HERA1CORRSYS108 -114 ADD HERA1CORRSYS109 -115 ADD HERA1CORRSYS110 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1NCEP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1NCEP_DEFAULT.dat deleted file mode 100644 index 4a0d5ad5ce..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_HERA1NCEP_DEFAULT.dat +++ /dev/null @@ -1,116 +0,0 @@ -115 -1 ADD UNCORR -2 ADD HERA1PROC1 -3 ADD HERA1PROC2 -4 ADD HERA1PROC3 -5 MULT HERA1NORM -6 ADD HERA1CORRSYS1 -7 ADD HERA1CORRSYS2 -8 ADD HERA1CORRSYS3 -9 ADD HERA1CORRSYS4 -10 ADD HERA1CORRSYS5 -11 ADD HERA1CORRSYS6 -12 ADD HERA1CORRSYS7 -13 ADD HERA1CORRSYS8 -14 ADD HERA1CORRSYS9 -15 ADD HERA1CORRSYS10 -16 ADD HERA1CORRSYS11 -17 ADD HERA1CORRSYS12 -18 ADD HERA1CORRSYS13 -19 ADD HERA1CORRSYS14 -20 ADD HERA1CORRSYS15 -21 ADD HERA1CORRSYS16 -22 ADD HERA1CORRSYS17 -23 ADD HERA1CORRSYS18 -24 ADD HERA1CORRSYS19 -25 ADD HERA1CORRSYS20 -26 ADD HERA1CORRSYS21 -27 ADD HERA1CORRSYS22 -28 ADD HERA1CORRSYS23 -29 ADD HERA1CORRSYS24 -30 ADD HERA1CORRSYS25 -31 ADD HERA1CORRSYS26 -32 ADD HERA1CORRSYS27 -33 ADD HERA1CORRSYS28 -34 ADD HERA1CORRSYS29 -35 ADD HERA1CORRSYS30 -36 ADD HERA1CORRSYS31 -37 ADD HERA1CORRSYS32 -38 ADD HERA1CORRSYS33 -39 ADD HERA1CORRSYS34 -40 ADD HERA1CORRSYS35 -41 ADD HERA1CORRSYS36 -42 ADD HERA1CORRSYS37 -43 ADD HERA1CORRSYS38 -44 ADD HERA1CORRSYS39 -45 ADD HERA1CORRSYS40 -46 ADD HERA1CORRSYS41 -47 ADD HERA1CORRSYS42 -48 ADD HERA1CORRSYS43 -49 ADD HERA1CORRSYS44 -50 ADD HERA1CORRSYS45 -51 ADD HERA1CORRSYS46 -52 ADD HERA1CORRSYS47 -53 ADD HERA1CORRSYS48 -54 ADD HERA1CORRSYS49 -55 ADD HERA1CORRSYS50 -56 ADD HERA1CORRSYS51 -57 ADD HERA1CORRSYS52 -58 ADD HERA1CORRSYS53 -59 ADD HERA1CORRSYS54 -60 ADD HERA1CORRSYS55 -61 ADD HERA1CORRSYS56 -62 ADD HERA1CORRSYS57 -63 ADD HERA1CORRSYS58 -64 ADD HERA1CORRSYS59 -65 ADD HERA1CORRSYS60 -66 ADD HERA1CORRSYS61 -67 ADD HERA1CORRSYS62 -68 ADD HERA1CORRSYS63 -69 ADD HERA1CORRSYS64 -70 ADD HERA1CORRSYS65 -71 ADD HERA1CORRSYS66 -72 ADD HERA1CORRSYS67 -73 ADD HERA1CORRSYS68 -74 ADD HERA1CORRSYS69 -75 ADD HERA1CORRSYS70 -76 ADD HERA1CORRSYS71 -77 ADD HERA1CORRSYS72 -78 ADD HERA1CORRSYS73 -79 ADD HERA1CORRSYS74 -80 ADD HERA1CORRSYS75 -81 ADD HERA1CORRSYS76 -82 ADD HERA1CORRSYS77 -83 ADD HERA1CORRSYS78 -84 ADD HERA1CORRSYS79 -85 ADD HERA1CORRSYS80 -86 ADD HERA1CORRSYS81 -87 ADD HERA1CORRSYS82 -88 ADD HERA1CORRSYS83 -89 ADD HERA1CORRSYS84 -90 ADD HERA1CORRSYS85 -91 ADD HERA1CORRSYS86 -92 ADD HERA1CORRSYS87 -93 ADD HERA1CORRSYS88 -94 ADD HERA1CORRSYS89 -95 ADD HERA1CORRSYS90 -96 ADD HERA1CORRSYS91 -97 ADD HERA1CORRSYS92 -98 ADD HERA1CORRSYS93 -99 ADD HERA1CORRSYS94 -100 ADD HERA1CORRSYS95 -101 ADD HERA1CORRSYS96 -102 ADD HERA1CORRSYS97 -103 ADD HERA1CORRSYS98 -104 ADD HERA1CORRSYS99 -105 ADD HERA1CORRSYS100 -106 ADD HERA1CORRSYS101 -107 ADD HERA1CORRSYS102 -108 ADD HERA1CORRSYS103 -109 ADD HERA1CORRSYS104 -110 ADD HERA1CORRSYS105 -111 ADD HERA1CORRSYS106 -112 ADD HERA1CORRSYS107 -113 ADD HERA1CORRSYS108 -114 ADD HERA1CORRSYS109 -115 ADD HERA1CORRSYS110 From db75d62385c0920330f2b5ff3bd33a82e007b053 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Wed, 10 Apr 2019 14:49:47 +0200 Subject: [PATCH 234/429] Renamed HIGGSPOS->POSHIGGS for consistency --- nnpdfcpp/data/commondata/{DATA_HIGGSPOS.dat => DATA_POSHIGGS.dat} | 0 ...{SYSTYPE_HIGGSPOS_DEFAULT.dat => SYSTYPE_POSHIGGS_DEFAULT.dat} | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename nnpdfcpp/data/commondata/{DATA_HIGGSPOS.dat => DATA_POSHIGGS.dat} (100%) rename nnpdfcpp/data/commondata/systypes/{SYSTYPE_HIGGSPOS_DEFAULT.dat => SYSTYPE_POSHIGGS_DEFAULT.dat} (100%) diff --git a/nnpdfcpp/data/commondata/DATA_HIGGSPOS.dat b/nnpdfcpp/data/commondata/DATA_POSHIGGS.dat similarity index 100% rename from nnpdfcpp/data/commondata/DATA_HIGGSPOS.dat rename to nnpdfcpp/data/commondata/DATA_POSHIGGS.dat diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_HIGGSPOS_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_POSHIGGS_DEFAULT.dat similarity index 100% rename from nnpdfcpp/data/commondata/systypes/SYSTYPE_HIGGSPOS_DEFAULT.dat rename to nnpdfcpp/data/commondata/systypes/SYSTYPE_POSHIGGS_DEFAULT.dat From e7861adb09cb44b2892f0b40260fdab6f2766aca Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Wed, 10 Apr 2019 15:16:12 +0200 Subject: [PATCH 235/429] Renamed HIGGSPOS->POSHIGGS --- validphys2/examples/closure.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/examples/closure.yaml b/validphys2/examples/closure.yaml index de12037a74..20f92bfaca 100644 --- a/validphys2/examples/closure.yaml +++ b/validphys2/examples/closure.yaml @@ -192,7 +192,7 @@ positivity: - { dataset: POSDYUD, poslambda: 1e5 } - { dataset: POSDYUDB, poslambda: 1e5 } - { dataset: POSDYUBDB, poslambda: 1e5 } - - { dataset: HIGGSPOS, poslambda: 1e13 } + - { dataset: POSHIGGS, poslambda: 1e13 } ############################################################ closuretest: From 005b04495cb6f8a20dd735f8a15a5f06f272ca04 Mon Sep 17 00:00:00 2001 From: Zahari Date: Wed, 10 Apr 2019 16:26:48 +0100 Subject: [PATCH 236/429] Remove deprecated file --- nnpdfcpp/data/commondata/DATA_PDFEVOLTEST.dat | 6 ------ 1 file changed, 6 deletions(-) delete mode 100644 nnpdfcpp/data/commondata/DATA_PDFEVOLTEST.dat diff --git a/nnpdfcpp/data/commondata/DATA_PDFEVOLTEST.dat b/nnpdfcpp/data/commondata/DATA_PDFEVOLTEST.dat deleted file mode 100644 index dc8b680df5..0000000000 --- a/nnpdfcpp/data/commondata/DATA_PDFEVOLTEST.dat +++ /dev/null @@ -1,6 +0,0 @@ -PDFEVOLTEST 0 5 - 1 DIS_PDF 1e-5 1e4 0.000000000000000e+00 0.0 0.0 - 2 DIS_PDF 1e-4 1e4 0.000000000000000e+00 0.0 0.0 - 3 DIS_PDF 1e-3 1e4 0.000000000000000e+00 0.0 0.0 - 4 DIS_PDF 1e-2 1e4 0.000000000000000e+00 0.0 0.0 - 5 DIS_PDF 1e-1 1e4 0.000000000000000e+00 0.0 0.0 From 491a6ca22033c17302c7333b76073ceab818b608 Mon Sep 17 00:00:00 2001 From: Zahari Date: Wed, 3 Apr 2019 16:54:44 +0100 Subject: [PATCH 237/429] Fix bug in different cuts Fix bug where we would get that the cuts are different if a mask with all the data had been written for one of the fits and not for the other. For example, this would report that the cuts are different: ``` use_cuts: fromfit fits: - 190310-tg-nlo-DIS - 181126-si-nlo-central_DISonly template_text: | {@print_different_cuts@} actions_: - report(main=True) ``` even if they aren't. The reason why this bug existed in the first place was the willingness to avoid loading datasets just to check the actual number of datapoints, given that that is expensive. That has been worked around since. --- validphys2/src/validphys/fitdata.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/fitdata.py b/validphys2/src/validphys/fitdata.py index 9f8fa3cf9b..98fd20e8c5 100644 --- a/validphys2/src/validphys/fitdata.py +++ b/validphys2/src/validphys/fitdata.py @@ -264,11 +264,11 @@ def test_for_same_cuts(fits, match_datasets_by_name): if first.cuts: c1 = first.cuts.load() else: - c1 = ['Allpass'] + c1 = np.arange(first.commondata.ndata) if second.cuts: c2 = second.cuts.load() else: - c2 = ['Allpass'] + c2 = np.arange(second.commondata.ndata) if not np.array_equal(c1, c2): msg = "Cuts for %s are not the same:\n%s:\n%s\n\n%s:\n%s" % (ds, first_fit, c1, second_fit, c2) log.info(msg) From 097b43cda32239813b9f919fec7ef39f8c0cd89e Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Thu, 11 Apr 2019 22:44:27 +0200 Subject: [PATCH 238/429] Added single top differential distributions --- ..._ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat | 6 ++++++ ...S_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.dat | 6 ++++++ ...ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat | 5 +++++ ..._SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.dat | 5 +++++ ...ATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat | 6 ++++++ ...TLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.dat | 6 ++++++ ...TA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat | 5 +++++ ...LAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.dat | 5 +++++ ...INGLETOP_TCH_DIFF_7TEV_TBAR_PT_DEFAULT.dat | 18 +++++++++++++++++ ...TOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEFAULT.dat | 16 +++++++++++++++ ...NGLETOP_TCH_DIFF_7TEV_TBAR_RAP_DEFAULT.dat | 16 +++++++++++++++ ...OP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEFAULT.dat | 7 +++++++ ...S_SINGLETOP_TCH_DIFF_7TEV_T_PT_DEFAULT.dat | 20 +++++++++++++++++++ ...GLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEFAULT.dat | 10 ++++++++++ ..._SINGLETOP_TCH_DIFF_7TEV_T_RAP_DEFAULT.dat | 18 +++++++++++++++++ ...LETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEFAULT.dat | 12 +++++++++++ 16 files changed, 161 insertions(+) create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat new file mode 100644 index 0000000000..11e85e5306 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat @@ -0,0 +1,6 @@ +ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT 17 5 + 1 HQP_PTQ 2.250000000000e+01 3.003289000000e+04 7.000000000000e+03 1.897150000000e-01 0.000000000000e+00 2.090769208418e-02 1.100404846536e+01 9.044503807231e-03 4.760265161701e+00 9.494511296072e-04 4.997111208459e-01 6.248850822458e-05 3.288868853925e-02 -5.770586980957e-07 -3.037151042609e-04 2.280000000000e-02 1.200000000000e+01 2.660000000000e-02 1.400000000000e+01 1.681982981483e-02 8.852542007808e+00 1.900000000000e-03 1.000000000000e+00 5.700000000000e-03 3.000000000000e+00 1.064000000000e-02 5.600000000000e+00 4.940000000000e-03 2.600000000000e+00 7.220000000000e-03 3.800000000000e+00 2.318000000000e-02 1.220000000000e+01 5.890000000000e-03 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 3.420000000000e-03 1.800000000000e+00 + 2 HQP_PTQ 6.000000000000e+01 3.003289000000e+04 7.000000000000e+03 2.279300000000e-01 0.000000000000e+00 1.272292473806e-02 5.531706407850e+00 -1.357175414125e-02 -5.900762670108e+00 3.103829038284e-03 1.349490886211e+00 -2.280896830543e-05 -9.916942741493e-03 -8.314598958721e-07 -3.615043025531e-04 2.093000000000e-02 9.100000000000e+00 2.530000000000e-02 1.100000000000e+01 7.074135989646e-03 3.075711299846e+00 5.060000000000e-03 2.200000000000e+00 7.130000000000e-03 3.100000000000e+00 4.600000000000e-03 2.000000000000e+00 5.980000000000e-03 2.600000000000e+00 9.890000000000e-03 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140000000000e-03 1.800000000000e+00 + 3 HQP_PTQ 9.250000000000e+01 3.003289000000e+04 7.000000000000e+03 9.874600000000e-02 0.000000000000e+00 5.396954508479e-03 5.563870627298e+00 -3.058938735798e-03 -3.153545088451e+00 -1.097831561223e-02 -1.131785114663e+01 6.679936874055e-05 6.886532859851e-02 8.191224844089e-08 8.444561694937e-05 1.358000000000e-02 1.400000000000e+01 1.552000000000e-02 1.600000000000e+01 3.890897197306e-03 4.011234224026e+00 3.298000000000e-03 3.400000000000e+00 3.104000000000e-03 3.200000000000e+00 2.134000000000e-03 2.200000000000e+00 2.522000000000e-03 2.600000000000e+00 5.141000000000e-03 5.300000000000e+00 9.312000000000e-03 9.600000000000e+00 3.104000000000e-03 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.746000000000e-03 1.800000000000e+00 + 4 HQP_PTQ 1.300000000000e+02 3.003289000000e+04 7.000000000000e+03 1.313000000000e-02 0.000000000000e+00 4.125424558032e-04 3.173403506179e+00 2.004911575032e-04 1.542239673101e+00 -2.228007145600e-04 -1.713851650461e+00 -3.341311582866e-03 -2.570239679128e+01 2.960695468476e-06 2.277458052674e-02 3.640000000000e-03 2.800000000000e+01 6.240000000000e-03 4.800000000000e+01 1.829262146331e-03 1.407124727947e+01 0.000000000000e+00 0.000000000000e+00 4.680000000000e-04 3.600000000000e+00 1.300000000000e-03 1.000000000000e+01 3.380000000000e-04 2.600000000000e+00 9.360000000000e-04 7.200000000000e+00 1.430000000000e-03 1.100000000000e+01 2.470000000000e-04 1.900000000000e+00 8.970000000000e-04 6.900000000000e+00 2.340000000000e-04 1.800000000000e+00 + 5 HQP_PTQ 3.250000000000e+02 3.003289000000e+04 7.000000000000e+03 1.400000000000e-03 0.000000000000e+00 5.868910588179e-05 4.192078991557e+00 -1.792609388359e-05 -1.280435277400e+00 1.311269196961e-05 9.366208549722e-01 2.770582428833e-05 1.978987449166e+00 3.574782351678e-04 2.553415965484e+01 3.920000000000e-04 2.800000000000e+01 4.620000000000e-04 3.300000000000e+01 0.000000000000e+00 0.000000000000e+00 4.200000000000e-05 3.000000000000e+00 8.260000000000e-05 5.900000000000e+00 8.260000000000e-05 5.900000000000e+00 3.780000000000e-05 2.700000000000e+00 1.148000000000e-04 8.200000000000e+00 0.000000000000e+00 0.000000000000e+00 8.260000000000e-05 5.900000000000e+00 3.640000000000e-05 2.600000000000e+00 2.520000000000e-05 1.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.dat new file mode 100644 index 0000000000..3f42179ff8 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.dat @@ -0,0 +1,6 @@ +ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM 15 5 + 1 HQP_PTQ 2.250000000000e+01 3.003289000000e+04 7.000000000000e+03 9.537600000000e-03 0.000000000000e+00 5.631397163376e-04 5.866038711850e+00 -5.014378981976e-04 -5.223311439558e+00 -2.253102171176e-04 -2.346981428309e+00 -1.878361221530e-05 -1.956626272427e-01 1.269209321725e-07 1.322093043463e-03 8.352000000000e-04 8.700000000000e+00 0.000000000000e+00 0.000000000000e+00 6.837599578800e-04 7.122499561250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.728000000000e-04 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 7.639543441856e-04 7.957857751933e+00 1.248000000000e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 HQP_PTQ 6.000000000000e+01 3.003289000000e+04 7.000000000000e+03 1.151880000000e-02 0.000000000000e+00 -9.532477886887e-04 -8.217653350765e+00 -3.488813327075e-04 -3.007597695754e+00 -1.070719963959e-04 -9.230344516888e-01 -1.298810183288e-05 -1.119663951111e-01 7.646475132239e-08 6.591788907102e-04 1.113600000000e-03 9.600000000000e+00 5.220000000000e-04 4.500000000000e+00 5.419509571908e-04 4.671991010265e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.320000000000e-04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.234794446015e-04 3.650684867254e+00 3.480000000000e-04 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 3 HQP_PTQ 9.250000000000e+01 3.003289000000e+04 7.000000000000e+03 5.017600000000e-03 0.000000000000e+00 -8.975731493493e-05 -1.831781937447e+00 5.703157529718e-04 1.163909699943e+01 -2.691260866807e-04 -5.492369115933e+00 -4.868617159824e-06 -9.935953387397e-02 1.111877564147e-07 2.269137886015e-03 6.860000000000e-04 1.400000000000e+01 8.820000000000e-05 1.800000000000e+00 2.781370525478e-04 5.676266378527e+00 7.840000000000e-05 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 8.330000000000e-05 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 6.624067858952e-04 1.351850583460e+01 6.860000000000e-05 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 HQP_PTQ 1.300000000000e+02 3.003289000000e+04 7.000000000000e+03 7.217000000000e-04 0.000000000000e+00 1.412367477354e-05 2.017667824792e+00 7.008029001764e-05 1.001147000252e+01 4.410000679192e-05 6.300000970274e+00 -1.598774473878e-04 -2.283963534111e+01 1.611820829393e-07 2.302601184847e-02 1.960000000000e-04 2.800000000000e+01 2.730000000000e-04 3.900000000000e+01 1.004951118214e-04 1.435644454592e+01 1.260000000000e-05 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 4.237602506135e-05 6.053717865907e+00 1.750000000000e-05 2.500000000000e+00 4.699393577899e-05 6.713419396999e+00 1.260000000000e-05 1.800000000000e+00 4.690000000000e-05 6.700000000000e+00 + 5 HQP_PTQ 3.250000000000e+02 3.003289000000e+04 7.000000000000e+03 6.996500000000e-05 0.000000000000e+00 2.350184159687e-06 3.357405942410e+00 4.023625680811e-06 5.748036686873e+00 1.536002517507e-05 2.194289310724e+01 7.651217458454e-06 1.093031065493e+01 3.880150618350e-06 5.543072311929e+00 1.890000000000e-05 2.700000000000e+01 1.540000000000e-05 2.200000000000e+01 0.000000000000e+00 0.000000000000e+00 8.400000000000e-07 1.200000000000e+00 1.830737556287e-06 2.615339366124e+00 1.400000000000e-06 2.000000000000e+00 2.520000000000e-06 3.600000000000e+00 3.048618539601e-06 4.355169342287e+00 3.570000000000e-06 5.100000000000e+00 1.960000000000e-06 2.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat new file mode 100644 index 0000000000..abcfc18221 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat @@ -0,0 +1,5 @@ +ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP 15 4 + 1 HQP_YQ 1.000000000000e-01 3.003289000000e+04 7.000000000000e+03 1.500000000000e+01 0.000000000000e+00 1.937812649495e+00 1.291875099663e+01 -6.146875413709e-03 -4.097916942473e-02 -2.171870311984e-01 -1.447913541323e+00 1.319639566096e-02 8.797597107308e-02 1.650000000000e+00 1.100000000000e+01 1.650000000000e+00 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 3.450000000000e-01 2.300000000000e+00 5.100000000000e-01 3.400000000000e+00 3.750000000000e-01 2.500000000000e+00 4.050000000000e-01 2.700000000000e+00 9.000000000000e-01 6.000000000000e+00 1.500000000000e-01 1.000000000000e+00 3.150000000000e-01 2.100000000000e+00 2.700000000000e-01 1.800000000000e+00 + 2 HQP_YQ 4.000000000000e-01 3.003289000000e+04 7.000000000000e+03 1.324680000000e+01 0.000000000000e+00 -1.029661759994e-01 -7.741817744315e-01 9.269300566952e-03 6.969398922520e-02 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b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.dat new file mode 100644 index 0000000000..65d19f33f9 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.dat @@ -0,0 +1,5 @@ +ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM 6 4 + 1 HQP_YQ 1.000000000000e-01 3.003289000000e+04 7.000000000000e+03 7.500000000000e-01 1.300000000000e+01 9.000000000000e-02 1.200000000000e+01 2.550000000000e-02 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.200000000000e-02 1.600000000000e+00 1.050000000000e-02 1.400000000000e+00 1.425000000000e-02 1.900000000000e+00 + 2 HQP_YQ 4.000000000000e-01 3.003289000000e+04 7.000000000000e+03 6.567000000000e-01 9.100000000000e+00 7.260000000000e-02 1.100000000000e+01 1.584000000000e-02 2.400000000000e+00 1.026719046283e-02 1.555634918610e+00 6.600000000000e-03 1.000000000000e+00 5.283298969394e-02 8.004998438476e+00 0.000000000000e+00 0.000000000000e+00 + 3 HQP_YQ 8.500000000000e-01 3.003289000000e+04 7.000000000000e+03 5.541675000000e-01 1.100000000000e+01 6.660000000000e-02 1.200000000000e+01 6.105000000000e-03 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.306257073160e-02 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 + 4 HQP_YQ 2.050000000000e+00 3.003289000000e+04 7.000000000000e+03 1.634890000000e-01 1.100000000000e+01 2.282000000000e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 2.040757396164e-03 1.251998402555e+00 2.934000000000e-03 1.800000000000e+00 6.276558352314e-03 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat new file mode 100644 index 0000000000..85b22cf500 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat @@ -0,0 +1,6 @@ +ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT 19 5 + 1 HQP_PTQ 2.250000000000e+01 3.003289000000e+04 7.000000000000e+03 4.400000000000e-01 0.000000000000e+00 3.025018877284e-02 6.875042902919e+00 1.181996423241e-02 2.686355507365e+00 -9.417696360701e-06 -2.140385536523e-03 -1.809615372734e-03 -4.112762210760e-01 1.446833874983e-03 3.288258806781e-01 2.420000000000e-02 5.500000000000e+00 2.684000000000e-02 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.400000000000e-03 1.000000000000e+00 1.320000000000e-02 3.000000000000e+00 5.720000000000e-03 1.300000000000e+00 8.800000000000e-03 2.000000000000e+00 1.144000000000e-02 2.600000000000e+00 1.320000000000e-02 3.000000000000e+00 2.992000000000e-02 6.800000000000e+00 1.232000000000e-02 2.800000000000e+00 5.720000000000e-03 1.300000000000e+00 7.920000000000e-03 1.800000000000e+00 + 2 HQP_PTQ 6.000000000000e+01 3.003289000000e+04 7.000000000000e+03 3.703700000000e-01 0.000000000000e+00 1.769536375325e-02 4.782530744121e+00 -1.478595960643e-02 -3.996205299036e+00 -1.478259928584e-05 -3.995297104282e-03 -4.143073708295e-03 -1.119749650890e+00 5.430167757956e-03 1.467612907556e+00 1.961000000000e-02 5.300000000000e+00 2.775000000000e-02 7.500000000000e+00 7.976482620805e-03 2.155806113731e+00 7.085765660816e-03 1.915071800221e+00 8.880000000000e-03 2.400000000000e+00 1.147000000000e-02 3.100000000000e+00 5.550000000000e-03 1.500000000000e+00 7.030000000000e-03 1.900000000000e+00 9.620000000000e-03 2.600000000000e+00 6.660000000000e-03 1.800000000000e+00 3.034000000000e-02 8.200000000000e+00 0.000000000000e+00 0.000000000000e+00 5.180000000000e-03 1.400000000000e+00 6.660000000000e-03 1.800000000000e+00 + 3 HQP_PTQ 9.250000000000e+01 3.003289000000e+04 7.000000000000e+03 2.518750000000e-01 0.000000000000e+00 1.300517659294e-02 5.202070637174e+00 -5.522446423521e-03 -2.208978569408e+00 -7.858253370979e-06 -3.143301348392e-03 1.202477687540e-03 4.809910750159e-01 -1.301861947154e-02 -5.207447788615e+00 1.200000000000e-02 4.800000000000e+00 1.300000000000e-02 5.200000000000e+00 7.135956488096e-03 2.854382595238e+00 0.000000000000e+00 0.000000000000e+00 5.750000000000e-03 2.300000000000e+00 8.250000000000e-03 3.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.500000000000e-03 2.600000000000e+00 5.750000000000e-03 2.300000000000e+00 1.975000000000e-02 7.900000000000e+00 9.250000000000e-03 3.700000000000e+00 0.000000000000e+00 0.000000000000e+00 4.500000000000e-03 1.800000000000e+00 + 4 HQP_PTQ 1.300000000000e+02 3.003289000000e+04 7.000000000000e+03 1.330000000000e-01 0.000000000000e+00 9.018175336500e-03 6.780582959775e+00 -2.665221925567e-03 -2.003926259825e+00 8.811206461419e-06 6.624967264225e-03 1.247443375611e-02 9.379273500835e+00 3.267893895871e-03 2.457063079602e+00 7.980000000000e-03 6.000000000000e+00 3.990000000000e-03 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.128000000000e-03 1.600000000000e+00 3.990000000000e-03 3.000000000000e+00 4.788000000000e-03 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.458000000000e-03 2.600000000000e+00 3.724000000000e-03 2.800000000000e+00 1.596000000000e-02 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.394000000000e-03 1.800000000000e+00 + 5 HQP_PTQ 3.250000000000e+02 3.003289000000e+04 7.000000000000e+03 7.952100000000e-03 0.000000000000e+00 5.068090274025e-04 6.497551633366e+00 -1.132301131761e-04 -1.451668117643e+00 1.123120350128e-03 1.439897884780e+01 -1.591576926764e-04 -2.040483239441e+00 -3.312188405656e-05 -4.246395391866e-01 7.332000000000e-04 9.400000000000e+00 4.056000000000e-04 5.200000000000e+00 5.788840298367e-04 7.421590126112e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.836000000000e-04 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 9.360000000000e-05 1.200000000000e+00 2.028000000000e-04 2.600000000000e+00 1.872000000000e-04 2.400000000000e+00 7.376156926205e-04 9.456611443852e+00 4.841029642545e-04 6.206448259673e+00 0.000000000000e+00 0.000000000000e+00 1.404000000000e-04 1.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.dat new file mode 100644 index 0000000000..eed8dbcdd8 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.dat @@ -0,0 +1,6 @@ +ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM 9 5 + 1 HQP_PTQ 2.250000000000e+01 3.003289000000e+04 7.000000000000e+03 9.052800000000e-03 5.300000000000e+00 3.864000000000e-04 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 3.530930755481e-04 3.837968212479e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.588000000000e-04 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 HQP_PTQ 6.000000000000e+01 3.003289000000e+04 7.000000000000e+03 7.846800000000e-03 6.900000000000e+00 4.290000000000e-04 5.500000000000e+00 1.326000000000e-04 1.700000000000e+00 2.356839409039e-04 3.021588985948e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.212000000000e-04 5.400000000000e+00 1.404000000000e-04 1.800000000000e+00 1.326000000000e-04 1.700000000000e+00 + 3 HQP_PTQ 9.250000000000e+01 3.003289000000e+04 7.000000000000e+03 5.387450000000e-03 8.000000000000e+00 2.756000000000e-04 5.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.793210180096e-04 3.383415434143e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.830000000000e-04 1.100000000000e+01 6.890000000000e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 HQP_PTQ 1.300000000000e+02 3.003289000000e+04 7.000000000000e+03 2.800000000000e-03 1.100000000000e+01 1.736000000000e-04 6.200000000000e+00 8.400000000000e-05 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.920000000000e-05 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 2.800000000000e-05 1.000000000000e+00 3.920000000000e-04 1.400000000000e+01 7.560000000000e-05 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 HQP_PTQ 3.250000000000e+02 3.003289000000e+04 7.000000000000e+03 1.646400000000e-04 1.500000000000e+01 1.488000000000e-05 9.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.254215292524e-05 7.838845578272e+00 4.320000000000e-06 2.700000000000e+00 4.480000000000e-06 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 1.104000000000e-05 6.900000000000e+00 7.641151745647e-06 4.775719841029e+00 1.760000000000e-06 1.100000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat new file mode 100644 index 0000000000..e2eb28f191 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat @@ -0,0 +1,5 @@ +ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP 17 4 + 1 HQP_YQ 1.000000000000e-01 3.003289000000e+04 7.000000000000e+03 2.807000000000e+01 0.000000000000e+00 2.505513738898e+00 8.948263353206e+00 -1.894163645164e-02 -6.764870161298e-02 2.687796304935e-01 9.599272517623e-01 1.412900687063e-02 5.046073882367e-02 1.652000000000e+00 5.900000000000e+00 1.484000000000e+00 5.300000000000e+00 3.887364145536e-01 1.388344337691e+00 4.096046874732e-01 1.462873883833e+00 8.960000000000e-01 3.200000000000e+00 9.240000000000e-01 3.300000000000e+00 3.640000000000e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 7.280000000000e-01 2.600000000000e+00 1.008000000000e+00 3.600000000000e+00 1.596000000000e+00 5.700000000000e+00 9.800000000000e-01 3.500000000000e+00 5.040000000000e-01 1.800000000000e+00 + 2 HQP_YQ 4.000000000000e-01 3.003289000000e+04 7.000000000000e+03 2.730000000000e+01 0.000000000000e+00 -3.155103425035e-01 -1.155715540306e+00 -5.824441779552e-02 -2.133495157345e-01 9.277529588622e-01 3.398362486675e+00 1.412229184266e+00 5.173000674965e+00 1.310400000000e+00 4.800000000000e+00 1.774500000000e+00 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.641000000000e-01 1.700000000000e+00 9.282000000000e-01 3.400000000000e+00 3.276000000000e-01 1.200000000000e+00 3.549000000000e-01 1.300000000000e+00 7.371000000000e-01 2.700000000000e+00 9.828000000000e-01 3.600000000000e+00 2.184000000000e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.914000000000e-01 1.800000000000e+00 + 3 HQP_YQ 8.500000000000e-01 3.003289000000e+04 7.000000000000e+03 2.238730000000e+01 0.000000000000e+00 -3.454029492221e-01 -1.562909272498e+00 -9.087959506451e-02 -4.112198871697e-01 1.100151046446e+00 4.978059033692e+00 -1.187186433073e+00 -5.371884312549e+00 1.105000000000e+00 5.000000000000e+00 1.480700000000e+00 6.700000000000e+00 3.084118147867e-01 1.395528573695e+00 2.261878588696e-01 1.023474474523e+00 0.000000000000e+00 0.000000000000e+00 7.514000000000e-01 3.400000000000e+00 2.652000000000e-01 1.200000000000e+00 4.420000000000e-01 2.000000000000e+00 5.746000000000e-01 2.600000000000e+00 6.188000000000e-01 2.800000000000e+00 8.840000000000e-01 4.000000000000e+00 5.746000000000e-01 2.600000000000e+00 3.978000000000e-01 1.800000000000e+00 + 4 HQP_YQ 2.050000000000e+00 3.003289000000e+04 7.000000000000e+03 1.070000000000e+01 0.000000000000e+00 3.231901609438e-03 3.020468793867e-02 -7.142129554485e-01 -6.674887434098e+00 -2.227750664426e-01 -2.082009966753e+00 3.552011898874e-02 3.319637288667e-01 4.708000000000e-01 4.400000000000e+00 5.029000000000e-01 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.317000000000e-01 3.100000000000e+00 3.424000000000e-01 3.200000000000e+00 1.070000000000e-01 1.000000000000e+00 1.498000000000e-01 1.400000000000e+00 2.675000000000e-01 2.500000000000e+00 2.996000000000e-01 2.800000000000e+00 9.309000000000e-01 8.700000000000e+00 5.029000000000e-01 4.700000000000e+00 1.926000000000e-01 1.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.dat new file mode 100644 index 0000000000..273c3a6861 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.dat @@ -0,0 +1,5 @@ +ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM 11 4 + 1 HQP_YQ 1.000000000000e-01 3.003289000000e+04 7.000000000000e+03 5.926550000000e-01 0.000000000000e+00 5.288383186872e-02 8.963361333681e+00 -7.317138066342e-05 -1.240192892600e-02 -4.759443252190e-03 -8.066852969814e-01 -5.026656534574e-04 -8.519756838261e-02 3.481000000000e-02 5.900000000000e+00 0.000000000000e+00 0.000000000000e+00 9.154511183018e-03 1.551612064918e+00 7.080000000000e-03 1.200000000000e+00 1.003000000000e-02 1.700000000000e+00 5.556033477221e-02 9.417005893595e+00 0.000000000000e+00 0.000000000000e+00 + 2 HQP_YQ 4.000000000000e-01 3.003289000000e+04 7.000000000000e+03 5.757000000000e-01 0.000000000000e+00 -5.926907184377e-03 -1.039808277961e+00 -1.510710964649e-04 -2.650370113419e-02 -1.777819638076e-02 -3.118981821186e+00 -3.129816419854e-02 -5.490905999744e+00 2.736000000000e-02 4.800000000000e+00 0.000000000000e+00 0.000000000000e+00 1.078490611920e-02 1.892088792842e+00 0.000000000000e+00 0.000000000000e+00 1.026000000000e-02 1.800000000000e+00 1.654964350069e-02 2.903446228192e+00 0.000000000000e+00 0.000000000000e+00 + 3 HQP_YQ 8.500000000000e-01 3.003289000000e+04 7.000000000000e+03 4.597700000000e-01 0.000000000000e+00 -6.884392258431e-03 -1.496607012702e+00 -1.798058284201e-04 -3.908822356958e-02 -2.500740302292e-02 -5.436391961505e+00 2.274758464421e-02 4.945127096566e+00 2.254000000000e-02 4.900000000000e+00 5.060000000000e-03 1.100000000000e+00 6.677926324841e-03 1.451723114096e+00 7.360000000000e-03 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 HQP_YQ 2.050000000000e+00 3.003289000000e+04 7.000000000000e+03 2.225540000000e-01 0.000000000000e+00 -2.440576998242e-03 -1.094429147194e+00 -7.114484704528e-04 -3.190351885438e-01 1.058474897942e-02 4.746524206016e+00 9.486005651952e-04 4.253814193701e-01 7.136000000000e-03 3.200000000000e+00 2.230000000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.230000000000e-03 1.000000000000e+00 5.129000000000e-03 2.300000000000e+00 1.116782575079e-02 5.007993610220e+00 3.345000000000e-03 1.500000000000e+00 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_DEFAULT.dat new file mode 100644 index 0000000000..c6efe50f1e --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_DEFAULT.dat @@ -0,0 +1,18 @@ +17 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT ATLASLUMI11 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEFAULT.dat new file mode 100644 index 0000000000..7764299f99 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEFAULT.dat @@ -0,0 +1,16 @@ +15 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_DEFAULT.dat new file mode 100644 index 0000000000..2c17a0a028 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_DEFAULT.dat @@ -0,0 +1,16 @@ +15 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT ATLASLUMI11 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEFAULT.dat new file mode 100644 index 0000000000..94856fadb9 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEFAULT.dat @@ -0,0 +1,7 @@ +6 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_DEFAULT.dat new file mode 100644 index 0000000000..f5596df47d --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_DEFAULT.dat @@ -0,0 +1,20 @@ +19 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT CORR +18 MULT CORR +19 MULT ATLASLUMI11 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEFAULT.dat new file mode 100644 index 0000000000..d31fa79e79 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEFAULT.dat @@ -0,0 +1,10 @@ +9 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_DEFAULT.dat new file mode 100644 index 0000000000..c6efe50f1e --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_DEFAULT.dat @@ -0,0 +1,18 @@ +17 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR +12 MULT CORR +13 MULT CORR +14 MULT CORR +15 MULT CORR +16 MULT CORR +17 MULT ATLASLUMI11 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEFAULT.dat new file mode 100644 index 0000000000..73a7030061 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEFAULT.dat @@ -0,0 +1,12 @@ +11 +1 MULT CORR +2 MULT CORR +3 MULT CORR +4 MULT CORR +5 MULT CORR +6 MULT CORR +7 MULT CORR +8 MULT CORR +9 MULT CORR +10 MULT CORR +11 MULT CORR From 35a9831458142228e2cdf8002083d871d5345b66 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Fri, 12 Apr 2019 10:45:04 +0200 Subject: [PATCH 239/429] Added plotting files for singletop differential --- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml | 7 +++++++ .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml | 7 +++++++ .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml | 7 +++++++ .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml | 7 +++++++ 4 files changed, 28 insertions(+) create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml new file mode 100644 index 0000000000..8ab53462d8 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single antitop $p^T_{t}$" +x: k1 +y_label: '$d\sigma_{\bar t}/dp^T_{\bar t}$ (fb/GeV)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml new file mode 100644 index 0000000000..81db61bfd3 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single antitop $p^T_{t}$" +x: k1 +y_label: '$d\sigma_{\bar t}/dp_{y_{\bar t}}$ (fb)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml new file mode 100644 index 0000000000..c5af093d69 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single top $p^T_{t}$" +x: k1 +y_label: '$d\sigma_t/dp^T_t$ (fb/GeV)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml new file mode 100644 index 0000000000..5dcc56f62a --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single top $y_{t}$" +x: k1 +y_label: '$d\sigma_t/dp_{y_t}$ (fb)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file From 3d090dd5f4e252228647ade1d10fd71b3d7fa8f5 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Fri, 12 Apr 2019 14:00:34 +0200 Subject: [PATCH 240/429] Removed POSHIGGS (former HIGGSPOS) data set --- nnpdfcpp/data/commondata/DATA_POSHIGGS.dat | 9 --------- .../commondata/systypes/SYSTYPE_POSHIGGS_DEFAULT.dat | 1 - 2 files changed, 10 deletions(-) delete mode 100644 nnpdfcpp/data/commondata/DATA_POSHIGGS.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_POSHIGGS_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_POSHIGGS.dat b/nnpdfcpp/data/commondata/DATA_POSHIGGS.dat deleted file mode 100644 index 3f653d98aa..0000000000 --- a/nnpdfcpp/data/commondata/DATA_POSHIGGS.dat +++ /dev/null @@ -1,9 +0,0 @@ -HIGGSPOS 0 8 -1 EWK_RAP 2.25 5 0 0 0 -2 EWK_RAP 2.75 5 0 0 0 -3 EWK_RAP 3.25 5 0 0 0 -4 EWK_RAP 3.75 5 0 0 0 -5 EWK_RAP 4.25 5 0 0 0 -6 EWK_RAP 4.75 5 0 0 0 -7 EWK_RAP 5.25 5 0 0 0 -8 EWK_RAP 5.75 5 0 0 0 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_POSHIGGS_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_POSHIGGS_DEFAULT.dat deleted file mode 100644 index 573541ac97..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_POSHIGGS_DEFAULT.dat +++ /dev/null @@ -1 +0,0 @@ -0 From c6578fadcbe76246effcb18c7ace81bfdbddcc78 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Fri, 12 Apr 2019 16:03:10 +0200 Subject: [PATCH 241/429] Added mising PLOTTING files for normalised distrs. and corrected fb->pb --- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml | 2 +- ...LOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.yaml | 7 +++++++ .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml | 2 +- ...OTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml | 7 +++++++ .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml | 2 +- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.yaml | 7 +++++++ .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml | 2 +- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml | 7 +++++++ 8 files changed, 32 insertions(+), 4 deletions(-) create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml index 8ab53462d8..3399b68672 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml @@ -1,6 +1,6 @@ dataset_label: "ATLAS single antitop $p^T_{t}$" x: k1 -y_label: '$d\sigma_{\bar t}/dp^T_{\bar t}$ (fb/GeV)' +y_label: '$d\sigma_{\bar t}/dp^T_{\bar t}$ (pb/GeV)' figure_by: - k3 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.yaml new file mode 100644 index 0000000000..4dc8c9534d --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single antitop $p^T_{t}$ (normalised)" +x: k1 +y_label: '(1/\sigma_{\bar t})$d\sigma_{\bar t}/dp^T_{\bar t}$ (1/GeV)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml index 81db61bfd3..a3cbddb308 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml @@ -1,6 +1,6 @@ dataset_label: "ATLAS single antitop $p^T_{t}$" x: k1 -y_label: '$d\sigma_{\bar t}/dp_{y_{\bar t}}$ (fb)' +y_label: '$d\sigma_{\bar t}/dp_{y_{\bar t}}$ (pb)' figure_by: - k3 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml new file mode 100644 index 0000000000..f72c900270 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single antitop $p^T_{t}$ (normalised)" +x: k1 +y_label: '(1/\sigma_{\bar t})$d\sigma_{\bar t}/dp_{y_{\bar t}}$' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml index c5af093d69..7bf5bed83f 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml @@ -1,6 +1,6 @@ dataset_label: "ATLAS single top $p^T_{t}$" x: k1 -y_label: '$d\sigma_t/dp^T_t$ (fb/GeV)' +y_label: '$d\sigma_t/dp^T_t$ (pb/GeV)' figure_by: - k3 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.yaml new file mode 100644 index 0000000000..a45dfd4700 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single top $p^T_{t}$ (normalised)" +x: k1 +y_label: '$(1/\sigma_t)d\sigma_t/dp^T_t$ (1/GeV)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml index 5dcc56f62a..45c6c0e49d 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml @@ -1,6 +1,6 @@ dataset_label: "ATLAS single top $y_{t}$" x: k1 -y_label: '$d\sigma_t/dp_{y_t}$ (fb)' +y_label: '$d\sigma_t/dp_{y_t}$ (pb)' figure_by: - k3 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml new file mode 100644 index 0000000000..a3ccd40fad --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single top $y_{t}$ (normalised)" +x: k1 +y_label: '(1/\sigma_t)$d\sigma_t/dp_{y_t}$' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file From a74340698965dca7c245b54421935f8a22a0fe8f Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Fri, 12 Apr 2019 16:12:54 +0200 Subject: [PATCH 242/429] style decorations --- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml | 4 ++-- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml | 4 ++-- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml | 4 ++-- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml | 4 ++-- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml index a3cbddb308..39999a26c9 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml @@ -1,6 +1,6 @@ -dataset_label: "ATLAS single antitop $p^T_{t}$" +dataset_label: "ATLAS single antitop $|y_{\bar t}|$" x: k1 -y_label: '$d\sigma_{\bar t}/dp_{y_{\bar t}}$ (pb)' +y_label: '$d\sigma_{\bar t}/d|y_{\bar t}|$ (pb)' figure_by: - k3 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml index f72c900270..a3cac21e9d 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml @@ -1,6 +1,6 @@ -dataset_label: "ATLAS single antitop $p^T_{t}$ (normalised)" +dataset_label: "ATLAS single antitop $|y_{\bar t}|$ (normalised)" x: k1 -y_label: '(1/\sigma_{\bar t})$d\sigma_{\bar t}/dp_{y_{\bar t}}$' +y_label: '(1/\sigma_{\bar t})$d\sigma_{\bar t}/d|y_{\bar t}|$' figure_by: - k3 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml index 45c6c0e49d..4dd247b523 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml @@ -1,6 +1,6 @@ -dataset_label: "ATLAS single top $y_{t}$" +dataset_label: "ATLAS single top $|y_t|$" x: k1 -y_label: '$d\sigma_t/dp_{y_t}$ (pb)' +y_label: '$d\sigma_t/d|y_t|$ (pb)' figure_by: - k3 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml index a3ccd40fad..e99c58a6df 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml @@ -1,6 +1,6 @@ -dataset_label: "ATLAS single top $y_{t}$ (normalised)" +dataset_label: "ATLAS single top $|y_t|$ (normalised)" x: k1 -y_label: '(1/\sigma_t)$d\sigma_t/dp_{y_t}$' +y_label: '(1/\sigma_t)$d\sigma_t/d|y_t|$' figure_by: - k3 From 817f66c039771ef247c2b31b2a5f7a273556dce0 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Fri, 12 Apr 2019 16:36:47 +0200 Subject: [PATCH 243/429] Fixed PLOTTING data files --- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml | 2 +- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.yaml | 4 ++-- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml | 2 +- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml | 4 ++-- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml | 2 +- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.yaml | 2 +- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml | 2 +- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml | 4 ++-- 8 files changed, 11 insertions(+), 11 deletions(-) diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml index 3399b68672..ee97f3b010 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.yaml @@ -1,4 +1,4 @@ -dataset_label: "ATLAS single antitop $p^T_{t}$" +dataset_label: "ATLAS single antitop $p^T$" x: k1 y_label: '$d\sigma_{\bar t}/dp^T_{\bar t}$ (pb/GeV)' figure_by: diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.yaml index 4dc8c9534d..ef6144ae22 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.yaml @@ -1,6 +1,6 @@ -dataset_label: "ATLAS single antitop $p^T_{t}$ (normalised)" +dataset_label: "ATLAS single antitop $p^T$ (normalised)" x: k1 -y_label: '(1/\sigma_{\bar t})$d\sigma_{\bar t}/dp^T_{\bar t}$ (1/GeV)' +y_label: '$(1/\sigma_{\bar t})d\sigma_{\bar t}/dp^T_{\bar t}$ (1/GeV)' figure_by: - k3 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml index 39999a26c9..307ba184b0 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.yaml @@ -1,4 +1,4 @@ -dataset_label: "ATLAS single antitop $|y_{\bar t}|$" +dataset_label: "ATLAS single antitop $y$" x: k1 y_label: '$d\sigma_{\bar t}/d|y_{\bar t}|$ (pb)' figure_by: diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml index a3cac21e9d..0cddc4e25f 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.yaml @@ -1,6 +1,6 @@ -dataset_label: "ATLAS single antitop $|y_{\bar t}|$ (normalised)" +dataset_label: "ATLAS single antitop $y$ (normalised)" x: k1 -y_label: '(1/\sigma_{\bar t})$d\sigma_{\bar t}/d|y_{\bar t}|$' +y_label: '$(1/\sigma_{\bar t})d\sigma_{\bar t}/d|y_{\bar t}|$' figure_by: - k3 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml index 7bf5bed83f..6055a257ba 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.yaml @@ -1,4 +1,4 @@ -dataset_label: "ATLAS single top $p^T_{t}$" +dataset_label: "ATLAS single top $p^T$" x: k1 y_label: '$d\sigma_t/dp^T_t$ (pb/GeV)' figure_by: diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.yaml index a45dfd4700..c5ce03fd0d 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.yaml @@ -1,4 +1,4 @@ -dataset_label: "ATLAS single top $p^T_{t}$ (normalised)" +dataset_label: "ATLAS single top $p^T$ (normalised)" x: k1 y_label: '$(1/\sigma_t)d\sigma_t/dp^T_t$ (1/GeV)' figure_by: diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml index 4dd247b523..db18f15b13 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.yaml @@ -1,4 +1,4 @@ -dataset_label: "ATLAS single top $|y_t|$" +dataset_label: "ATLAS single top $y$" x: k1 y_label: '$d\sigma_t/d|y_t|$ (pb)' figure_by: diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml index e99c58a6df..df75db0e3a 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.yaml @@ -1,6 +1,6 @@ -dataset_label: "ATLAS single top $|y_t|$ (normalised)" +dataset_label: "ATLAS single top $y_t$ (normalised)" x: k1 -y_label: '(1/\sigma_t)$d\sigma_t/d|y_t|$' +y_label: '$(1/\sigma_t)d\sigma_t/d|y_t|$' figure_by: - k3 From 128d412a9d765e6fa54aff055fd24573fd9685f8 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sat, 13 Apr 2019 21:57:59 +0200 Subject: [PATCH 244/429] Added ATLAS single top diff distr 8 TeV --- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat | 5 +++++ .../DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.dat | 5 +++++ .../DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat | 5 +++++ .../DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.dat | 5 +++++ .../commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat | 6 ++++++ .../DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.dat | 6 ++++++ .../commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat | 5 +++++ .../DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.dat | 5 +++++ ...YSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_DEFAULT.dat | 2 ++ ...E_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_DEFAULT.dat | 2 ++ ...STYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_DEFAULT.dat | 2 ++ ..._ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_DEFAULT.dat | 2 ++ .../SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_DEFAULT.dat | 2 ++ ...TYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEFAULT.dat | 2 ++ .../SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_DEFAULT.dat | 2 ++ ...YPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEFAULT.dat | 2 ++ 16 files changed, 58 insertions(+) create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat create mode 100644 nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_DEFAULT.dat create mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat new file mode 100644 index 0000000000..e99e901d1e --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat @@ -0,0 +1,5 @@ +ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT 1 4 + 1 HQP_PTQ 2.500000000000e+01 3.003289000000e+04 8.000000000000e+03 3.105000000000e-01 6.774193548387e+00 3.550704155516e-02 1.145388437263e+01 + 2 HQP_PTQ 7.500000000000e+01 3.003289000000e+04 8.000000000000e+03 2.275000000000e-01 5.701754385965e+00 1.951281630109e-02 8.558252763635e+00 + 3 HQP_PTQ 1.250000000000e+02 3.003289000000e+04 8.000000000000e+03 7.600000000000e-02 1.184210526316e+01 1.400000000000e-02 1.842105263158e+01 + 4 HQP_PTQ 2.250000000000e+02 3.003289000000e+04 8.000000000000e+03 9.350000000000e-03 1.978021978022e+01 2.871846096155e-03 3.155874830939e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.dat new file mode 100644 index 0000000000..80141ef8ee --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.dat @@ -0,0 +1,5 @@ +ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM 1 4 + 1 HQP_PTQ 2.500000000000e+01 3.003289000000e+04 8.000000000000e+03 9.675000000000e-03 4.963805584281e+00 7.650326790406e-04 7.911403092457e+00 + 2 HQP_PTQ 7.500000000000e+01 3.003289000000e+04 8.000000000000e+03 7.100000000000e-03 6.610407876231e+00 5.001999600160e-04 7.035161181660e+00 + 3 HQP_PTQ 1.250000000000e+02 3.003289000000e+04 8.000000000000e+03 2.355000000000e-03 1.144067796610e+01 4.550549417378e-04 1.928198905669e+01 + 4 HQP_PTQ 2.250000000000e+02 3.003289000000e+04 8.000000000000e+03 2.905000000000e-04 2.007042253521e+01 8.301054149926e-05 2.922906390819e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat new file mode 100644 index 0000000000..6f9d5d3a9c --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat @@ -0,0 +1,5 @@ +ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP 1 4 + 1 HQP_YQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 2.145000000000e+01 7.906976744186e+00 1.851350858157e+00 8.610934223988e+00 + 2 HQP_YQ 5.000000000000e-01 3.003289000000e+04 8.000000000000e+03 1.880000000000e+01 8.510638297872e+00 1.700000000000e+00 9.042553191489e+00 + 3 HQP_YQ 1.000000000000e+00 3.003289000000e+04 8.000000000000e+03 1.630000000000e+01 7.361963190184e+00 1.600000000000e+00 9.815950920245e+00 + 4 HQP_YQ 1.750000000000e+00 3.003289000000e+04 8.000000000000e+03 7.050000000000e+00 1.142857142857e+01 1.152171862180e+00 1.645959803115e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.dat new file mode 100644 index 0000000000..6767d7388f --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.dat @@ -0,0 +1,5 @@ +ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM 1 4 + 1 HQP_YQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 7.115000000000e-01 7.703081232493e+00 4.364344166080e-02 6.112526843250e+00 + 2 HQP_YQ 5.000000000000e-01 3.003289000000e+04 8.000000000000e+03 6.260000000000e-01 8.466453674121e+00 4.600000000000e-02 7.348242811502e+00 + 3 HQP_YQ 1.000000000000e+00 3.003289000000e+04 8.000000000000e+03 5.435000000000e-01 6.813996316759e+00 4.350574674684e-02 8.012108056508e+00 + 4 HQP_YQ 1.750000000000e+00 3.003289000000e+04 8.000000000000e+03 2.335000000000e-01 9.871244635193e+00 2.950847335936e-02 1.266458084093e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat new file mode 100644 index 0000000000..6688479faa --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat @@ -0,0 +1,6 @@ +ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT 1 5 + 1 HQP_PTQ 2.500000000000e+01 3.003289000000e+04 8.000000000000e+03 4.645000000000e-01 5.353319057816e+00 3.667083309662e-02 7.852426787284e+00 + 2 HQP_PTQ 7.500000000000e+01 3.003289000000e+04 8.000000000000e+03 4.045000000000e-01 3.712871287129e+00 2.750908940696e-02 6.809180546277e+00 + 3 HQP_PTQ 1.250000000000e+02 3.003289000000e+04 8.000000000000e+03 1.485000000000e-01 6.711409395973e+00 1.751427988814e-02 1.175455026049e+01 + 4 HQP_PTQ 1.750000000000e+02 3.003289000000e+04 8.000000000000e+03 4.965000000000e-02 1.280487804878e+01 4.594289934255e-03 9.337987671251e+00 + 5 HQP_PTQ 2.500000000000e+02 3.003289000000e+04 8.000000000000e+03 1.015000000000e-02 1.862745098039e+01 1.251998402555e-03 1.227449414270e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.dat new file mode 100644 index 0000000000..ba21fc953a --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.dat @@ -0,0 +1,6 @@ +ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM 1 5 + 1 HQP_PTQ 2.500000000000e+01 3.003289000000e+04 8.000000000000e+03 8.515000000000e-03 3.850641773629e+00 3.829817228015e-04 4.468864910169e+00 + 2 HQP_PTQ 7.500000000000e+01 3.003289000000e+04 8.000000000000e+03 7.455000000000e-03 4.312668463612e+00 4.378070351194e-04 5.900364354708e+00 + 3 HQP_PTQ 1.250000000000e+02 3.003289000000e+04 8.000000000000e+03 2.720000000000e-03 6.593406593407e+00 2.803569153775e-04 1.026948407976e+01 + 4 HQP_PTQ 1.750000000000e+02 3.003289000000e+04 8.000000000000e+03 9.050000000000e-04 1.333333333333e+01 7.533259586660e-05 8.370288429622e+00 + 5 HQP_PTQ 2.500000000000e+02 3.003289000000e+04 8.000000000000e+03 1.855000000000e-04 1.871657754011e+01 2.060946384552e-05 1.102110366071e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat new file mode 100644 index 0000000000..a223fc6e01 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat @@ -0,0 +1,5 @@ +ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP 1 4 + 1 HQP_YQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 3.290000000000e+01 5.504587155963e+00 2.317326045251e+00 7.086623991594e+00 + 2 HQP_YQ 5.000000000000e-01 3.003289000000e+04 8.000000000000e+03 3.140000000000e+01 5.714285714286e+00 2.304343724361e+00 7.315376902732e+00 + 3 HQP_YQ 1.000000000000e+00 3.003289000000e+04 8.000000000000e+03 2.530000000000e+01 5.138339920949e+00 1.900000000000e+00 7.509881422925e+00 + 4 HQP_YQ 1.750000000000e+00 3.003289000000e+04 8.000000000000e+03 1.540000000000e+01 5.844155844156e+00 1.200000000000e+00 7.792207792208e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.dat new file mode 100644 index 0000000000..2c09e8a3e4 --- /dev/null +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.dat @@ -0,0 +1,5 @@ +ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM 1 4 + 1 HQP_YQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 6.400000000000e-01 5.503144654088e+00 4.337049688440e-02 6.819260516416e+00 + 2 HQP_YQ 5.000000000000e-01 3.003289000000e+04 8.000000000000e+03 6.120000000000e-01 5.546492659054e+00 3.203123475609e-02 5.225323777503e+00 + 3 HQP_YQ 1.000000000000e+00 3.003289000000e+04 8.000000000000e+03 4.915000000000e-01 4.878048780488e+00 2.650943228362e-02 5.388095992606e+00 + 4 HQP_YQ 1.750000000000e+00 3.003289000000e+04 8.000000000000e+03 2.985000000000e-01 4.682274247492e+00 1.451723114096e-02 4.855261251157e+00 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_DEFAULT.dat new file mode 100644 index 0000000000..231c270b84 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_DEFAULT.dat new file mode 100644 index 0000000000..231c270b84 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_DEFAULT.dat new file mode 100644 index 0000000000..231c270b84 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_DEFAULT.dat new file mode 100644 index 0000000000..231c270b84 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_DEFAULT.dat new file mode 100644 index 0000000000..231c270b84 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEFAULT.dat new file mode 100644 index 0000000000..231c270b84 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_DEFAULT.dat new file mode 100644 index 0000000000..231c270b84 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEFAULT.dat new file mode 100644 index 0000000000..231c270b84 --- /dev/null +++ b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEFAULT.dat @@ -0,0 +1,2 @@ +1 +1 MULT CORR From 720e278a75d7b7618e19090dbb35185ed6ee9396 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sat, 13 Apr 2019 22:01:31 +0200 Subject: [PATCH 245/429] Added PLOTTING files for ATLAS single top diff distr 8 TeV --- .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.yaml | 7 +++++++ ...LOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.yaml | 7 +++++++ .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.yaml | 7 +++++++ ...OTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.yaml | 7 +++++++ .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.yaml | 7 +++++++ .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.yaml | 7 +++++++ .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.yaml | 7 +++++++ .../PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.yaml | 7 +++++++ 8 files changed, 56 insertions(+) create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.yaml diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.yaml new file mode 100644 index 0000000000..ee97f3b010 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single antitop $p^T$" +x: k1 +y_label: '$d\sigma_{\bar t}/dp^T_{\bar t}$ (pb/GeV)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.yaml new file mode 100644 index 0000000000..ef6144ae22 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single antitop $p^T$ (normalised)" +x: k1 +y_label: '$(1/\sigma_{\bar t})d\sigma_{\bar t}/dp^T_{\bar t}$ (1/GeV)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.yaml new file mode 100644 index 0000000000..307ba184b0 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single antitop $y$" +x: k1 +y_label: '$d\sigma_{\bar t}/d|y_{\bar t}|$ (pb)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.yaml new file mode 100644 index 0000000000..0cddc4e25f --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single antitop $y$ (normalised)" +x: k1 +y_label: '$(1/\sigma_{\bar t})d\sigma_{\bar t}/d|y_{\bar t}|$' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.yaml new file mode 100644 index 0000000000..6055a257ba --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single top $p^T$" +x: k1 +y_label: '$d\sigma_t/dp^T_t$ (pb/GeV)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.yaml new file mode 100644 index 0000000000..c5ce03fd0d --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single top $p^T$ (normalised)" +x: k1 +y_label: '$(1/\sigma_t)d\sigma_t/dp^T_t$ (1/GeV)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.yaml new file mode 100644 index 0000000000..db18f15b13 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single top $y$" +x: k1 +y_label: '$d\sigma_t/d|y_t|$ (pb)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.yaml new file mode 100644 index 0000000000..df75db0e3a --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS single top $y_t$ (normalised)" +x: k1 +y_label: '$(1/\sigma_t)d\sigma_t/d|y_t|$' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file From f71accbbfc4bcab49dc4a830c529e634d27833ef Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 15 Apr 2019 09:56:23 +0200 Subject: [PATCH 246/429] Rename line_only_pdfs as pdfs_noband --- validphys2/src/validphys/pdfplots.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/pdfplots.py b/validphys2/src/validphys/pdfplots.py index 5f5728429a..09796313c9 100644 --- a/validphys2/src/validphys/pdfplots.py +++ b/validphys2/src/validphys/pdfplots.py @@ -377,10 +377,10 @@ def plot_pdfvardistances(pdfs, variance_distance_grids, *, class BandPDFPlotter(PDFPlotter): - def __init__(self, *args, line_only_pdfs=None ,**kwargs): - if line_only_pdfs is None: - line_only_pdfs = [] - self.line_only_pdfs = line_only_pdfs + def __init__(self, *args, pdfs_noband=None ,**kwargs): + if pdfs_noband is None: + pdfs_noband = [] + self.pdfs_noband = pdfs_noband super().__init__( *args, **kwargs) def setup_flavour(self, flstate): @@ -410,7 +410,7 @@ def draw(self, pdf, grid, flstate): hatch = next(hatchit) color = next_prop['color'] cvline, = ax.plot(xgrid, cv, color=color) - if pdf.name in self.line_only_pdfs: + if pdf.name in self.pdfs_noband: labels.append(pdf.label) handles.append(cvline) return [cv, cv] @@ -457,7 +457,7 @@ def plot_pdfs( normalize_to: (int, str, type(None)) = None, ymin=None, ymax=None, - line_only_pdfs: (list, type(None)) = None, + pdfs_noband: (list, type(None)) = None, ): """Plot the central value and the uncertainty of a list of pdfs as a function of x for a given value of Q. If normalize_to is given, plot the @@ -479,7 +479,7 @@ def plot_pdfs( normalize_to, ymin, ymax, - line_only_pdfs=line_only_pdfs, + pdfs_noband=pdfs_noband, ) class FlavoursPlotter(AllFlavoursPlotter, BandPDFPlotter): From 55159026277895cffba439e0c3ef9b1884976569 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 15 Apr 2019 14:11:37 +0200 Subject: [PATCH 247/429] Add check for pdfs_noband that allows pdfs_noband to be specified by PDF index --- validphys2/src/validphys/checks.py | 35 ++++++++++++++++++++++++++++ validphys2/src/validphys/pdfplots.py | 2 ++ 2 files changed, 37 insertions(+) diff --git a/validphys2/src/validphys/checks.py b/validphys2/src/validphys/checks.py index d5e4994aca..37aea4c535 100644 --- a/validphys2/src/validphys/checks.py +++ b/validphys2/src/validphys/checks.py @@ -138,6 +138,41 @@ def check_pdf_normalize_to(pdfs, normalize_to): raise RuntimeError("Should not be here") +@make_argcheck +def check_pdfs_noband(pdfs, pdfs_noband): + """Allows pdfs_noband to be specified as a list of PDF IDs or a list of + PDF indexes (starting from one).""" + + msg = ("pdfs_noband should be a list of PDF IDs or a list of PDF indexes " + "(starting from one)") + + if pdfs_noband is None: + return + + names = [pdf.name for pdf in pdfs] + # A list to which PDF IDs can be added, when the PDF is specified by either + # its PDF ID (i.e. a string) or an index (i.e. an int) + pdfs_noband_combined = [] + + for pdf_noband in pdfs_noband: + if isinstance(pdf_noband, int): + # Convert PDF index to list index (i.e. starting from zero) + pdf_noband -= 1 + pdfs_noband_combined.append(names[pdf_noband]) + if not pdf_noband < len(names) or pdf_noband < 0: + raise CheckError(msg) + + if isinstance(pdf_noband, str): + try: + pdfs_noband_combined.append(names[names.index(pdf_noband)]) + except ValueError: + raise CheckError(msg, pdf_noband, alternatives=names) + + if len(pdfs_noband_combined) == 0: + raise RuntimeError("Should not be here") + + return {'pdfs_noband': pdfs_noband_combined} + def _check_list_different(l, name): strs = [str(item) for item in l] diff --git a/validphys2/src/validphys/pdfplots.py b/validphys2/src/validphys/pdfplots.py index 09796313c9..c4b3e1d361 100644 --- a/validphys2/src/validphys/pdfplots.py +++ b/validphys2/src/validphys/pdfplots.py @@ -24,6 +24,7 @@ from validphys.gridvalues import LUMI_CHANNELS from validphys.utils import scale_from_grid from validphys.checks import check_pdf_normalize_to, check_scale, check_have_two_pdfs +from validphys.checks import check_pdfs_noband log = logging.getLogger(__name__) @@ -449,6 +450,7 @@ def legend(self, flstate): @figuregen @check_pdf_normalize_to +@check_pdfs_noband @check_scale("xscale", allow_none=True) def plot_pdfs( pdfs, From 4931df989be0d3d8a1652141e389363ef2a34553 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 15 Apr 2019 14:23:29 +0200 Subject: [PATCH 248/429] Allow pdfs_noband to have zero length --- validphys2/src/validphys/checks.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/validphys2/src/validphys/checks.py b/validphys2/src/validphys/checks.py index 37aea4c535..04d0e3cde6 100644 --- a/validphys2/src/validphys/checks.py +++ b/validphys2/src/validphys/checks.py @@ -168,9 +168,6 @@ def check_pdfs_noband(pdfs, pdfs_noband): except ValueError: raise CheckError(msg, pdf_noband, alternatives=names) - if len(pdfs_noband_combined) == 0: - raise RuntimeError("Should not be here") - return {'pdfs_noband': pdfs_noband_combined} From 41bf4ae784f3d636943eba892bdb11a18d8cb370 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 15 Apr 2019 14:41:10 +0200 Subject: [PATCH 249/429] Return list of PDF objects rather than list of PDF names --- validphys2/src/validphys/checks.py | 8 ++++++-- validphys2/src/validphys/pdfplots.py | 3 ++- 2 files changed, 8 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/checks.py b/validphys2/src/validphys/checks.py index 04d0e3cde6..39690779f9 100644 --- a/validphys2/src/validphys/checks.py +++ b/validphys2/src/validphys/checks.py @@ -158,13 +158,17 @@ def check_pdfs_noband(pdfs, pdfs_noband): if isinstance(pdf_noband, int): # Convert PDF index to list index (i.e. starting from zero) pdf_noband -= 1 - pdfs_noband_combined.append(names[pdf_noband]) + for pdf in pdfs: + if pdf.name == names[pdf_noband]: + pdfs_noband_combined.append(pdf) if not pdf_noband < len(names) or pdf_noband < 0: raise CheckError(msg) if isinstance(pdf_noband, str): try: - pdfs_noband_combined.append(names[names.index(pdf_noband)]) + for pdf in pdfs: + if pdf.name == pdf_noband: + pdfs_noband_combined.append(pdf) except ValueError: raise CheckError(msg, pdf_noband, alternatives=names) diff --git a/validphys2/src/validphys/pdfplots.py b/validphys2/src/validphys/pdfplots.py index c4b3e1d361..5219b67e9d 100644 --- a/validphys2/src/validphys/pdfplots.py +++ b/validphys2/src/validphys/pdfplots.py @@ -411,7 +411,8 @@ def draw(self, pdf, grid, flstate): hatch = next(hatchit) color = next_prop['color'] cvline, = ax.plot(xgrid, cv, color=color) - if pdf.name in self.pdfs_noband: + names = [pdf.name for pdf in self.pdfs_noband] + if pdf.name in names: labels.append(pdf.label) handles.append(cvline) return [cv, cv] From 8570bb3a3cf823738fd364810aa58d118bfa4440 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 15 Apr 2019 15:18:11 +0200 Subject: [PATCH 250/429] Simplify pdfs_noband option in pdfplots.py --- validphys2/src/validphys/pdfplots.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/validphys2/src/validphys/pdfplots.py b/validphys2/src/validphys/pdfplots.py index 5219b67e9d..a60f250e9f 100644 --- a/validphys2/src/validphys/pdfplots.py +++ b/validphys2/src/validphys/pdfplots.py @@ -411,8 +411,7 @@ def draw(self, pdf, grid, flstate): hatch = next(hatchit) color = next_prop['color'] cvline, = ax.plot(xgrid, cv, color=color) - names = [pdf.name for pdf in self.pdfs_noband] - if pdf.name in names: + if pdf in self.pdfs_noband: labels.append(pdf.label) handles.append(cvline) return [cv, cv] From a78e99bbae921bcc70a878216b5a6c6f144eadf5 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 15 Apr 2019 16:06:09 +0200 Subject: [PATCH 251/429] Add error if pdfs_noband contains elements that aren't str or int --- validphys2/src/validphys/checks.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/checks.py b/validphys2/src/validphys/checks.py index 39690779f9..a8d30ad1c0 100644 --- a/validphys2/src/validphys/checks.py +++ b/validphys2/src/validphys/checks.py @@ -155,6 +155,7 @@ def check_pdfs_noband(pdfs, pdfs_noband): pdfs_noband_combined = [] for pdf_noband in pdfs_noband: + if isinstance(pdf_noband, int): # Convert PDF index to list index (i.e. starting from zero) pdf_noband -= 1 @@ -164,7 +165,7 @@ def check_pdfs_noband(pdfs, pdfs_noband): if not pdf_noband < len(names) or pdf_noband < 0: raise CheckError(msg) - if isinstance(pdf_noband, str): + elif isinstance(pdf_noband, str): try: for pdf in pdfs: if pdf.name == pdf_noband: @@ -172,6 +173,11 @@ def check_pdfs_noband(pdfs, pdfs_noband): except ValueError: raise CheckError(msg, pdf_noband, alternatives=names) + else: + raise RuntimeError("pdf_noband must be a list of strings " + "(PDF IDs) or a list of integers (PDF indexes).") + + return {'pdfs_noband': pdfs_noband_combined} From d6c915424cb4d37c535f58020422cead6fa7b141 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 15 Apr 2019 16:09:59 +0200 Subject: [PATCH 252/429] Make error CheckError rather than RuntimeError --- validphys2/src/validphys/checks.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/checks.py b/validphys2/src/validphys/checks.py index a8d30ad1c0..2584fbfad2 100644 --- a/validphys2/src/validphys/checks.py +++ b/validphys2/src/validphys/checks.py @@ -174,7 +174,7 @@ def check_pdfs_noband(pdfs, pdfs_noband): raise CheckError(msg, pdf_noband, alternatives=names) else: - raise RuntimeError("pdf_noband must be a list of strings " + raise CheckError("pdf_noband must be a list of strings " "(PDF IDs) or a list of integers (PDF indexes).") From 41643984dd9676871b776cb2db4806924ffee581 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Mon, 15 Apr 2019 16:22:53 +0200 Subject: [PATCH 253/429] Added QCD K factors for single(anti)top ATLAS diff distrs at 7 TeV --- ..._ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat | 14 ++ ...NGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEN.dat | 14 ++ ...NGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_NUM.dat | 14 ++ ...ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat | 13 + ...GLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEN.dat | 13 + ...GLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_NUM.dat | 13 + ...QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat | 14 ++ ..._SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEN.dat | 14 ++ ..._SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_NUM.dat | 14 ++ ...CD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat | 13 + ...SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEN.dat | 13 + ...SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_NUM.dat | 13 + nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat | 238 +++++++++--------- 13 files changed, 287 insertions(+), 113 deletions(-) create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEN.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_NUM.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEN.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_NUM.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEN.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_NUM.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEN.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_NUM.dat diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat new file mode 100644 index 0000000000..82b5d8cc7c --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat @@ -0,0 +1,14 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9229 0.0000 +0.9875 0.0000 +0.8940 0.0000 +1.0529 0.0000 +1.0598 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEN.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEN.dat new file mode 100644 index 0000000000..e611d4857e --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEN.dat @@ -0,0 +1,14 @@ +******************************************************************************** +SetName: CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.dat +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9732 0.0000 +0.9732 0.0000 +0.9732 0.0000 +0.9732 0.0000 +0.9732 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_NUM.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_NUM.dat new file mode 100644 index 0000000000..4ff8c4f1f9 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_NUM.dat @@ -0,0 +1,14 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9229 0.0000 +0.9875 0.0000 +0.8940 0.0000 +1.0529 0.0000 +1.0598 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat new file mode 100644 index 0000000000..5a892956c2 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9745 0.0000 +0.9743 0.0000 +0.9736 0.0000 +0.9714 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEN.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEN.dat new file mode 100644 index 0000000000..b1d91cd745 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEN.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.dat +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9732 0.0000 +0.9732 0.0000 +0.9732 0.0000 +0.9732 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_NUM.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_NUM.dat new file mode 100644 index 0000000000..456ddcb154 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_NUM.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9745 0.0000 +0.9743 0.0000 +0.9736 0.0000 +0.9714 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat new file mode 100644 index 0000000000..2243d2216d --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat @@ -0,0 +1,14 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9277 0.0000 +0.9817 0.0000 +0.8934 0.0000 +1.0378 0.0000 +1.0476 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEN.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEN.dat new file mode 100644 index 0000000000..ec0d171f21 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEN.dat @@ -0,0 +1,14 @@ +******************************************************************************** +SetName: CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.dat +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9755 0.0000 +0.9755 0.0000 +0.9755 0.0000 +0.9755 0.0000 +0.9755 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_NUM.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_NUM.dat new file mode 100644 index 0000000000..d2dd61d0eb --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_NUM.dat @@ -0,0 +1,14 @@ +******************************************************************************** +SetName: CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.dat +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9277 0.0000 +0.9817 0.0000 +0.8934 0.0000 +1.0378 0.0000 +1.0476 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat new file mode 100644 index 0000000000..f92ff6c3e1 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9824 0.0000 +0.9805 0.0000 +0.9784 0.0000 +0.9677 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEN.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEN.dat new file mode 100644 index 0000000000..c8008dd264 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEN.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.dat +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9755 0.0000 +0.9755 0.0000 +0.9755 0.0000 +0.9755 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_NUM.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_NUM.dat new file mode 100644 index 0000000000..2a7bdfef3e --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_NUM.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9824 0.0000 +0.9805 0.0000 +0.9784 0.0000 +0.9677 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat index bb685071cc..429f495ab6 100644 --- a/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat +++ b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat @@ -1,113 +1,125 @@ -DEUT BCDMSD BCDMSD -DEUT NMCPD NMCPD -DEUT SLACD SLACD -MMHT CMSDY2D12 CMSDY2D12 -EWK ATLASLOMASSDY11 ATLASLOMASSDY11 -EWK ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT -EWK ATLASWZRAP36PB ATLASWZRAP36PB -EWK ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB -EWK ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB -EWK CMSDY2D11 CMSDY2D11 -EWK CMSDY2D12 CMSDY2D12 -EWK LHCBWZMU7TEV LHCBWZMU7TEV -EWK LHCBWZMU8TEV LHCBWZMU8TEV -EWK LHCBZ940PB LHCBZ940PB -EWK LHCBZEE2FB LHCBZEE2FB -NRM ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB -NRM ATLASZPT7TEV ATLASZPT7TEV -NRM ATLASZPT7TEV_PTZ ATLASZPT7TEV -NRM ATLASZPT7TEV_TOT ATLASZPT7TEV MZ -NRM ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST -NRM ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST -NRM CMSZDIFF12 CMSZDIFF12 -NRM LHCBWZMU7TEV LHCBWZMU7TEV -NRM LHCBWZMU8TEV LHCBWZMU8TEV -NRM LHCBWZMU7TEV_PI LHCBWZMU7TEV -NRM LHCBWZMU8TEV_PI LHCBWZMU8TEV -QCD ATLAS1JET11 ATLAS1JET11 -QCD ATLASLOMASSDY11 ATLASLOMASSDY11 -QCD ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT -QCD ATLASR04JETS2P76TEV ATLASR04JETS2P76TEV -QCD ATLASR04JETS36PB ATLASR04JETS36PB -QCD ATLASR06JETS36PB ATLASR06JETS36PB -QCD ATLASTOPDIFF8TEVTPT ATLASTOPDIFF8TEVTPT -QCD ATLASTOPDIFF8TEVTRAP ATLASTOPDIFF8TEVTRAP -QCD ATLASTOPDIFF8TEVTTM ATLASTOPDIFF8TEVTTM -QCD ATLASTOPDIFF8TEVTTPT ATLASTOPDIFF8TEVTTPT -QCD ATLASTOPDIFF8TEVTTRAP ATLASTOPDIFF8TEVTTRAP -QCD ATLASTOPDIFF8TEVTPT_NUM ATLASTOPDIFF8TEVTPTNORM -QCD ATLASTOPDIFF8TEVTTPT_NUM ATLASTOPDIFF8TEVTTPTNORM -QCD ATLASTOPDIFF8TEVTRAP_NUM ATLASTOPDIFF8TEVTRAPNORM -QCD ATLASTOPDIFF8TEVTTRAP_NUM ATLASTOPDIFF8TEVTTRAPNORM -QCD ATLASTOPDIFF8TEVTTM_NUM ATLASTOPDIFF8TEVTTMNORM -QCD ATLASTOPDIFF8TEVTPT_DEN ATLASTOPDIFF8TEVTPTNORM MT -QCD ATLASTOPDIFF8TEVTTPT_DEN ATLASTOPDIFF8TEVTTPTNORM MT -QCD ATLASTOPDIFF8TEVTRAP_DEN ATLASTOPDIFF8TEVTRAPNORM MT -QCD ATLASTOPDIFF8TEVTTRAP_DEN ATLASTOPDIFF8TEVTTRAPNORM MT -QCD ATLASTOPDIFF8TEVTTM_DEN ATLASTOPDIFF8TEVTTMNORM MT -QCD ATLASTTBARTOT ATLASTTBARTOT -QCD ATLASTTBARTOT13TEV ATLASTTBARTOT13TEV -QCD ATLASTTBARTOT7TEV ATLASTTBARTOT7TEV -QCD ATLASTTBARTOT8TEV ATLASTTBARTOT8TEV -QCD ATLASWZRAP11 ATLASWZRAP11 -QCD ATLASWZRAP11CC ATLASWZRAP11CC -QCD ATLASWZRAP11CF ATLASWZRAP11CF -QCD ATLASWZRAP36PB ATLASWZRAP36PB -QCD ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB -QCD ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB -QCD ATLASZPT7TEV_PTZ ATLASZPT7TEV -QCD ATLASZPT7TEV_TOT ATLASZPT7TEV MZ -QCD ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST -QCD ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST -QCD CDFR2KT CDFR2KT -QCD CDFZRAP CDFZRAP -QCD CMSDY2D11 CMSDY2D11 -QCD CMSDY2D12 CMSDY2D12 -QCD CMSJETS11 CMSJETS11 -QCD CMSTOPDIFF8TEVTPT CMSTOPDIFF8TEVTPT -QCD CMSTOPDIFF8TEVTRAP CMSTOPDIFF8TEVTRAP -QCD CMSTOPDIFF8TEVTTM CMSTOPDIFF8TEVTTM -QCD CMSTOPDIFF8TEVTTPT CMSTOPDIFF8TEVTTPT -QCD CMSTOPDIFF8TEVTTRAP CMSTOPDIFF8TEVTTRAP -QCD CMSTOPDIFF8TEVTPT_NUM CMSTOPDIFF8TEVTPT -QCD CMSTOPDIFF8TEVTTPT_NUM CMSTOPDIFF8TEVTTPT -QCD CMSTOPDIFF8TEVTRAP_NUM CMSTOPDIFF8TEVTRAP -QCD CMSTOPDIFF8TEVTTRAP_NUM CMSTOPDIFF8TEVTTRAP -QCD CMSTOPDIFF8TEVTTM_NUM CMSTOPDIFF8TEVTTM -QCD CMSTOPDIFF8TEVTPT_DEN CMSTOPDIFF8TEVTPTNORM MT -QCD CMSTOPDIFF8TEVTTPT_DEN CMSTOPDIFF8TEVTTPTNORM MT -QCD CMSTOPDIFF8TEVTRAP_DEN CMSTOPDIFF8TEVTRAPNORM MT -QCD CMSTOPDIFF8TEVTTRAP_DEN CMSTOPDIFF8TEVTTRAPNORM MT -QCD CMSTOPDIFF8TEVTTM_DEN CMSTOPDIFF8TEVTTMNORM MT -QCD CMSTTBARTOT CMSTTBARTOT -QCD CMSTTBARTOT13TEV CMSTTBARTOT13TEV -QCD CMSTTBARTOT7TEV CMSTTBARTOT7TEV -QCD CMSTTBARTOT8TEV CMSTTBARTOT8TEV -QCD CMSWEASY840PB_WM CMSWEASY840PB -QCD CMSWEASY840PB_WP CMSWEASY840PB -QCD CMSWMASY47FB_WM CMSWMASY47FB -QCD CMSWMASY47FB_WP CMSWMASY47FB -QCD CMSWMU8TEV CMSWMU8TEV -QCD CMSZDIFF12 CMSZDIFF12 -QCD D0WEASY_WM D0WEASY -QCD D0WEASY_WP D0WEASY -QCD D0WMASY_WM D0WMASY -QCD D0WMASY_WP D0WMASY -QCD D0ZRAP D0ZRAP -QCD D0ZRAP_TOT D0ZRAP MZ -QCD DYE605 DYE605 -QCD DYE886P DYE886P -QCD LHCBW36PB LHCBW36PB -QCD LHCBWMU1FB LHCBWMU1FB -QCD LHCBWZMU7TEV LHCBWZMU7TEV -QCD LHCBWZMU8TEV LHCBWZMU8TEV -QCD LHCBZ940PB LHCBZ940PB -QCD LHCBZEE2FB LHCBZEE2FB -QCD TTBARTOT TTBARTOT -QCD ATLASPHT12 ATLASPHT12 -QCD CMS_SINGLETOP_TCH_R_7TEV_T CMS_SINGLETOP_TCH_TOT_7TEV -QCD CMS_SINGLETOP_TCH_R_7TEV_TB CMS_SINGLETOP_TCH_TOT_7TEV -QCD CMS_SINGLETOP_TCH_R_8TEV_T CMS_SINGLETOP_TCH_R_8TEV -QCD CMS_SINGLETOP_TCH_R_8TEV_TB CMS_SINGLETOP_TCH_R_8TEV -QCD CMS_SINGLETOP_TCH_R_13TEV_T CMS_SINGLETOP_TCH_R_13TEV -QCD CMS_SINGLETOP_TCH_R_13TEV_TB CMS_SINGLETOP_TCH_R_13TEV +DEUT BCDMSD BCDMSD +DEUT NMCPD NMCPD +DEUT SLACD SLACD +MMHT CMSDY2D12 CMSDY2D12 +EWK ATLASLOMASSDY11 ATLASLOMASSDY11 +EWK ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT +EWK ATLASWZRAP36PB ATLASWZRAP36PB +EWK ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB +EWK ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB +EWK CMSDY2D11 CMSDY2D11 +EWK CMSDY2D12 CMSDY2D12 +EWK LHCBWZMU7TEV LHCBWZMU7TEV +EWK LHCBWZMU8TEV LHCBWZMU8TEV +EWK LHCBZ940PB LHCBZ940PB +EWK LHCBZEE2FB LHCBZEE2FB +NRM ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB +NRM ATLASZPT7TEV ATLASZPT7TEV +NRM ATLASZPT7TEV_PTZ ATLASZPT7TEV +NRM ATLASZPT7TEV_TOT ATLASZPT7TEV MZ +NRM ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST +NRM ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST +NRM CMSZDIFF12 CMSZDIFF12 +NRM LHCBWZMU7TEV LHCBWZMU7TEV +NRM LHCBWZMU8TEV LHCBWZMU8TEV +NRM LHCBWZMU7TEV_PI LHCBWZMU7TEV +NRM LHCBWZMU8TEV_PI LHCBWZMU8TEV +QCD ATLAS1JET11 ATLAS1JET11 +QCD ATLASLOMASSDY11 ATLASLOMASSDY11 +QCD ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT +QCD ATLASR04JETS2P76TEV ATLASR04JETS2P76TEV +QCD ATLASR04JETS36PB ATLASR04JETS36PB +QCD ATLASR06JETS36PB ATLASR06JETS36PB +QCD ATLASTOPDIFF8TEVTPT ATLASTOPDIFF8TEVTPT +QCD ATLASTOPDIFF8TEVTRAP ATLASTOPDIFF8TEVTRAP +QCD ATLASTOPDIFF8TEVTTM ATLASTOPDIFF8TEVTTM +QCD ATLASTOPDIFF8TEVTTPT ATLASTOPDIFF8TEVTTPT +QCD ATLASTOPDIFF8TEVTTRAP ATLASTOPDIFF8TEVTTRAP +QCD ATLASTOPDIFF8TEVTPT_NUM ATLASTOPDIFF8TEVTPTNORM +QCD ATLASTOPDIFF8TEVTTPT_NUM ATLASTOPDIFF8TEVTTPTNORM +QCD ATLASTOPDIFF8TEVTRAP_NUM ATLASTOPDIFF8TEVTRAPNORM +QCD ATLASTOPDIFF8TEVTTRAP_NUM ATLASTOPDIFF8TEVTTRAPNORM +QCD ATLASTOPDIFF8TEVTTM_NUM ATLASTOPDIFF8TEVTTMNORM +QCD ATLASTOPDIFF8TEVTPT_DEN ATLASTOPDIFF8TEVTPTNORM MT +QCD ATLASTOPDIFF8TEVTTPT_DEN ATLASTOPDIFF8TEVTTPTNORM MT +QCD ATLASTOPDIFF8TEVTRAP_DEN ATLASTOPDIFF8TEVTRAPNORM MT +QCD ATLASTOPDIFF8TEVTTRAP_DEN ATLASTOPDIFF8TEVTTRAPNORM MT +QCD ATLASTOPDIFF8TEVTTM_DEN ATLASTOPDIFF8TEVTTMNORM MT +QCD ATLASTTBARTOT ATLASTTBARTOT +QCD ATLASTTBARTOT13TEV ATLASTTBARTOT13TEV +QCD ATLASTTBARTOT7TEV ATLASTTBARTOT7TEV +QCD ATLASTTBARTOT8TEV ATLASTTBARTOT8TEV +QCD ATLASWZRAP11 ATLASWZRAP11 +QCD ATLASWZRAP11CC ATLASWZRAP11CC +QCD ATLASWZRAP11CF ATLASWZRAP11CF +QCD ATLASWZRAP36PB ATLASWZRAP36PB +QCD ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB +QCD ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB +QCD ATLASZPT7TEV_PTZ ATLASZPT7TEV +QCD ATLASZPT7TEV_TOT ATLASZPT7TEV MZ +QCD ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST +QCD ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST +QCD CDFR2KT CDFR2KT +QCD CDFZRAP CDFZRAP +QCD CMSDY2D11 CMSDY2D11 +QCD CMSDY2D12 CMSDY2D12 +QCD CMSJETS11 CMSJETS11 +QCD CMSTOPDIFF8TEVTPT CMSTOPDIFF8TEVTPT +QCD CMSTOPDIFF8TEVTRAP CMSTOPDIFF8TEVTRAP +QCD CMSTOPDIFF8TEVTTM CMSTOPDIFF8TEVTTM +QCD CMSTOPDIFF8TEVTTPT CMSTOPDIFF8TEVTTPT +QCD CMSTOPDIFF8TEVTTRAP CMSTOPDIFF8TEVTTRAP +QCD CMSTOPDIFF8TEVTPT_NUM CMSTOPDIFF8TEVTPT +QCD CMSTOPDIFF8TEVTTPT_NUM CMSTOPDIFF8TEVTTPT +QCD CMSTOPDIFF8TEVTRAP_NUM CMSTOPDIFF8TEVTRAP +QCD CMSTOPDIFF8TEVTTRAP_NUM CMSTOPDIFF8TEVTTRAP +QCD CMSTOPDIFF8TEVTTM_NUM CMSTOPDIFF8TEVTTM +QCD CMSTOPDIFF8TEVTPT_DEN CMSTOPDIFF8TEVTPTNORM MT +QCD CMSTOPDIFF8TEVTTPT_DEN CMSTOPDIFF8TEVTTPTNORM MT +QCD CMSTOPDIFF8TEVTRAP_DEN CMSTOPDIFF8TEVTRAPNORM MT +QCD CMSTOPDIFF8TEVTTRAP_DEN CMSTOPDIFF8TEVTTRAPNORM MT +QCD CMSTOPDIFF8TEVTTM_DEN CMSTOPDIFF8TEVTTMNORM MT +QCD CMSTTBARTOT CMSTTBARTOT +QCD CMSTTBARTOT13TEV CMSTTBARTOT13TEV +QCD CMSTTBARTOT7TEV CMSTTBARTOT7TEV +QCD CMSTTBARTOT8TEV CMSTTBARTOT8TEV +QCD CMSWEASY840PB_WM CMSWEASY840PB +QCD CMSWEASY840PB_WP CMSWEASY840PB +QCD CMSWMASY47FB_WM CMSWMASY47FB +QCD CMSWMASY47FB_WP CMSWMASY47FB +QCD CMSWMU8TEV CMSWMU8TEV +QCD CMSZDIFF12 CMSZDIFF12 +QCD D0WEASY_WM D0WEASY +QCD D0WEASY_WP D0WEASY +QCD D0WMASY_WM D0WMASY +QCD D0WMASY_WP D0WMASY +QCD D0ZRAP D0ZRAP +QCD D0ZRAP_TOT D0ZRAP MZ +QCD DYE605 DYE605 +QCD DYE886P DYE886P +QCD LHCBW36PB LHCBW36PB +QCD LHCBWMU1FB LHCBWMU1FB +QCD LHCBWZMU7TEV LHCBWZMU7TEV +QCD LHCBWZMU8TEV LHCBWZMU8TEV +QCD LHCBZ940PB LHCBZ940PB +QCD LHCBZEE2FB LHCBZEE2FB +QCD TTBARTOT TTBARTOT +QCD ATLASPHT12 ATLASPHT12 +QCD CMS_SINGLETOP_TCH_R_7TEV_T CMS_SINGLETOP_TCH_TOT_7TEV +QCD CMS_SINGLETOP_TCH_R_7TEV_TB CMS_SINGLETOP_TCH_TOT_7TEV +QCD CMS_SINGLETOP_TCH_R_8TEV_T CMS_SINGLETOP_TCH_R_8TEV +QCD CMS_SINGLETOP_TCH_R_8TEV_TB CMS_SINGLETOP_TCH_R_8TEV +QCD CMS_SINGLETOP_TCH_R_13TEV_T CMS_SINGLETOP_TCH_R_13TEV +QCD CMS_SINGLETOP_TCH_R_13TEV_TB CMS_SINGLETOP_TCH_R_13TEV +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM From c0d9851e6303db44d2177a03a1f7eed39002f9de Mon Sep 17 00:00:00 2001 From: Zahari Date: Mon, 15 Apr 2019 13:33:54 +0100 Subject: [PATCH 254/429] Add email mentions to validphys index Add a script to parse the emails, and find the mentions of validphys reports and associate report id with email url and title. Because there is no way to get an email URL from the email as received, we scan the HTML of the archives, by crawling over each message in each month. The script tries to remove links that are in quoted sections but that only works if these have already been parsed as a `backquote` HTML element in the email archives. We use this information to create a link to the email, in the index page, by adding an email emoji link to each email. It could be used for other things such as displaying the email in the template. One annoying aspect is that this is an embracingly parallel task (we could be processing the emails while we are waiting for other emails to download), but I am hitting some bug I don't understand when trying to do this with curio and asks (https://github.com/theelous3/asks/issues/118), so it will stay sequential for the moment. Because it is slow, we add a cache to remember already seen emails. At the moment index-emails needs to be run independently from index-reports (I run it once a day), but that may not be optimal. --- validphys2/serverscripts/.gitignore | 1 + validphys2/serverscripts/index-email.py | 117 ++++++++++++++++++++++ validphys2/serverscripts/index-reports.py | 23 ++++- 3 files changed, 137 insertions(+), 4 deletions(-) create mode 100644 validphys2/serverscripts/.gitignore create mode 100644 validphys2/serverscripts/index-email.py diff --git a/validphys2/serverscripts/.gitignore b/validphys2/serverscripts/.gitignore new file mode 100644 index 0000000000..d5613a9dcd --- /dev/null +++ b/validphys2/serverscripts/.gitignore @@ -0,0 +1 @@ +EMAIL_BOT_PASSWORD diff --git a/validphys2/serverscripts/index-email.py b/validphys2/serverscripts/index-email.py new file mode 100644 index 0000000000..7a509926de --- /dev/null +++ b/validphys2/serverscripts/index-email.py @@ -0,0 +1,117 @@ +import json +import pickle +from collections import defaultdict +from urllib.parse import urljoin, urlparse + +import requests +from bs4 import BeautifulSoup + +ARCHIVES_URL = 'https://lists.cam.ac.uk/mailman/private/ucam-nnpdf/' + +USERNAME = 'bot@zigzah.com' +PASSWORD_FILE = 'EMAIL_BOT_PASSWORD' + + +def make_login(): + with open(PASSWORD_FILE) as f: + password = f.read().strip() + return {"password": password, "username": USERNAME, "name": "submit"} + + +def make_soup(data): + return BeautifulSoup(data, features="html5lib") + + +def get_archive_index(session): + resp = session.post(ARCHIVES_URL, data=make_login()) + resp.raise_for_status() + return resp.text + + +def get_thread_index(month_url, session): + resp = session.get(month_url) + resp.raise_for_status() + return resp.text + + +def parse_threads(archive_index): + soup = make_soup(archive_index) + return [ + urljoin(ARCHIVES_URL, th.attrs['href']) + for th in soup.find_all('a', string='[ Thread ]') + ] + + +def parse_emails(thread_index, month_url): + soup = make_soup(thread_index) + return [ + urljoin(month_url, em.attrs['href']) + for em in soup.find_all('a', attrs={'name': True, 'href': True}) + ] + + +def get_email(email_url, session): + resp = session.get(email_url) + resp.raise_for_status() + return resp.text + + +def parse_email(email, email_url): + res = {} + + def good_link(tag): + if tag.name != 'a': + return False + if not tag.attrs['href'].startswith('https://vp.nnpdf.science/'): + return False + if any(p.name == 'blockquote' for p in tag.parents): + return False + return True + + soup = make_soup(email) + links = soup.body.find_all(good_link, recursive=True) + for link in links: + p = urlparse(link.attrs['href']).path + fragments = p.split('/') + if len(fragments) >= 2: + res[fragments[1]] = [email_url, str(soup.title.string)] + return res + + +if __name__ == '__main__': + try: + with open('email_mentions.json') as f: + res = defaultdict(list, json.load(f)) + except FileNotFoundError: + res = defaultdict(list) + + try: + with open('seen_emails_cache.pkl', 'rb') as f: + seen_data = pickle.load(f) + seen_months = seen_data['seen_months'] + seen_emails = seen_data['seen_emails'] + except FileNotFoundError: + seen_months = set() + seen_emails = set() + + s = requests.Session() + idx = get_archive_index(session=s) + for mindex, month_url in enumerate(parse_threads(idx)): + if month_url in seen_months: + continue + # Could still add emails to last month + if mindex != 0: + seen_months.add(month_url) + thindex = get_thread_index(month_url, s) + for email_url in parse_emails(thindex, month_url): + if email_url in seen_emails: + continue + seen_emails.add(email_url) + email = get_email(email_url, s) + email_res = parse_email(email, email_url) + for k, v in email_res.items(): + res[k].append(v) + with open('email_mentions.json', 'w') as f: + json.dump(res, f) + with open('seen_emails_cache.pkl', 'wb') as f: + pickle.dump({'seen_months': seen_months, 'seen_emails': seen_emails}, f) diff --git a/validphys2/serverscripts/index-reports.py b/validphys2/serverscripts/index-reports.py index 10722fce88..4601b231f0 100644 --- a/validphys2/serverscripts/index-reports.py +++ b/validphys2/serverscripts/index-reports.py @@ -23,7 +23,8 @@ ROOT = '/home/nnpdf/WEB/validphys-reports' ROOT_URL = 'https://vp.nnpdf.science/' OUT = '/home/nnpdf/WEB/validphys-reports/index.json' -THUMBNAILS = '/home/nnpdf/WEB/thumbnails/' +THUMBNAILS = '/home/nnpdf/WEB/thumbnails/' +EMAIL_MENTIONS_FILE = 'email_mentions.json' EMPTY = '-' @@ -130,7 +131,7 @@ def handle_thumbnail(p): return thumbnail_tag(name) return None -def register(p): +def register(p, emails): path_meta = meta_from_path(p) title, author, tags = path_meta['title'], path_meta['author'], path_meta['keywords'] url = ROOT_URL + p.name @@ -148,19 +149,33 @@ def register(p): if not isinstance(author, str): author = "" - titlelink = '%s' % (url, title) + emaillinks = ' '.join( + f'đŸ“§' for (url, title) in emails + ) + + titlelink = f'{title} {emaillinks}' thumbnail = handle_thumbnail(p) return (titlelink, author, [date, timestamp], tags, thumbnail) + +def get_all_emails(): + try: + with open(EMAIL_MENTIONS_FILE) as f: + return json.load(f) + except FileNotFoundError: + return {} + + def make_index(): root_path = pathlib.Path(ROOT) + emails = get_all_emails() data = [] keywords = defaultdict(TagProps) for p in root_path.iterdir(): if p.is_dir(): - res = register(p) + res = register(p, emails.get(p.name, [])) data.append(res) newkeywords = res[3] timestamp = res[2][1] From 729e42518257b703635f67b6ae97040191c61234 Mon Sep 17 00:00:00 2001 From: Zahari Date: Mon, 15 Apr 2019 15:58:09 +0100 Subject: [PATCH 255/429] Add documentation on email index --- doc/validphys2/guide.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index b19109d8ea..3f9babc9a7 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -2966,6 +2966,18 @@ be in the same format that Pandoc would have used to write them when way is setting the `main` flag of a report, as described in [Uploading the result]. +Additionally information from the mailing list is added to the index +page. Specifically we query the list for links to validphys reports +and add links to the emails next to the entries of the reports that +are mentioned. This is achieved with the `index-email.py` script. It +needs some authentication credentials to access the mailing list. The +password is stored in a file called `EMAIL_BOT_PASSWORD`, which is not +tracked by git. The script outputs two files in the root folder, +`email_mentions.json` which should be used by other applications (such +as the report indexer) and `seen_emails_cache.pkl`, which is there to +avoid downloading emails that are already indexes. These files need to +be deleted when the format of the index is updated. Currently this +script needs to be run manually or as a `cron` job. The report index uses the [DataTables](https://datatables.net/) JS library. It provides From a5e57fdf03451e8ff672e98c38509c5589303e75 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Mon, 15 Apr 2019 18:57:04 +0200 Subject: [PATCH 256/429] Added K factors for ATLAS single(anti)top differential distributions at 8 TeV --- ...F_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat | 13 +++++++++++++ ...AS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_DEN.dat | 13 +++++++++++++ ...AS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_NUM.dat | 13 +++++++++++++ ..._QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat | 13 +++++++++++++ ...S_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_DEN.dat | 13 +++++++++++++ ...S_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_NUM.dat | 13 +++++++++++++ .../CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat | 14 ++++++++++++++ ...ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEN.dat | 14 ++++++++++++++ ...ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_NUM.dat | 14 ++++++++++++++ .../CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat | 13 +++++++++++++ ...TLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEN.dat | 13 +++++++++++++ ...TLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_NUM.dat | 13 +++++++++++++ 12 files changed, 159 insertions(+) create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_DEN.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_NUM.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_DEN.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_NUM.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEN.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_NUM.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEN.dat create mode 100644 nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_NUM.dat diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat new file mode 100644 index 0000000000..38099c7223 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9249 0.0000 +1.0003 0.0000 +1.0431 0.0000 +1.0619 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_DEN.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_DEN.dat new file mode 100644 index 0000000000..407ec41a12 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_DEN.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9722 0.0000 +0.9722 0.0000 +0.9722 0.0000 +0.9722 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_NUM.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_NUM.dat new file mode 100644 index 0000000000..a0bf2cc7e2 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_NUM.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9249 0.0000 +1.0003 0.0000 +1.0431 0.0000 +1.0619 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat new file mode 100644 index 0000000000..e4239d9ca5 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9752 +0.9727 +0.9718 +0.9710 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_DEN.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_DEN.dat new file mode 100644 index 0000000000..001c8d573e --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_DEN.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9722 0.0000 +0.9722 0.0000 +0.9722 0.0000 +0.9722 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_NUM.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_NUM.dat new file mode 100644 index 0000000000..d21873d0e7 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_NUM.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9752 +0.9727 +0.9718 +0.9710 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat new file mode 100644 index 0000000000..62f5c3c4a7 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat @@ -0,0 +1,14 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9294 0.0000 +0.9982 0.0000 +1.0356 0.0000 +1.0422 0.0000 +1.0497 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEN.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEN.dat new file mode 100644 index 0000000000..7d9757fdf6 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEN.dat @@ -0,0 +1,14 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9748 0.0000 +0.9748 0.0000 +0.9748 0.0000 +0.9748 0.0000 +0.9748 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_NUM.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_NUM.dat new file mode 100644 index 0000000000..c93ee94d12 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_NUM.dat @@ -0,0 +1,14 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9294 0.0000 +0.9982 0.0000 +1.0356 0.0000 +1.0422 0.0000 +1.0497 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat new file mode 100644 index 0000000000..f59e4ec91e --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9806 0.0000 +0.9800 0.0000 +0.9800 0.0000 +0.9673 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEN.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEN.dat new file mode 100644 index 0000000000..77dff2010e --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEN.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9748 0.0000 +0.9748 0.0000 +0.9748 0.0000 +0.9748 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_NUM.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_NUM.dat new file mode 100644 index 0000000000..db12ba6372 --- /dev/null +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_NUM.dat @@ -0,0 +1,13 @@ +******************************************************************************** +SetName: CF_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM +Author: Emanuele R. Nocera enocera@nikhef.nl +Date: January 2019 +CodesUsed: Predictions provided by Jun Gao +TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 +PDFset: NNPDF31_nnlo_hessian_pdfas +Warnings: +******************************************************************************** +0.9806 0.0000 +0.9800 0.0000 +0.9800 0.0000 +0.9673 0.0000 From f146c8a16ea1cc975c0dff5a5bd301d9b921b6d2 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Mon, 15 Apr 2019 18:58:25 +0200 Subject: [PATCH 257/429] Updated registeredcfactors --- nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat index 429f495ab6..cb7029508d 100644 --- a/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat +++ b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat @@ -123,3 +123,15 @@ QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_7TEV QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM From 88dbc5f20379de44aba2219114f1c24bf23b397c Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Mon, 15 Apr 2019 20:21:17 +0200 Subject: [PATCH 258/429] Add info on pdfs_noband to docstring of plot_pdfs --- validphys2/src/validphys/pdfplots.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/validphys2/src/validphys/pdfplots.py b/validphys2/src/validphys/pdfplots.py index a60f250e9f..111a0856e8 100644 --- a/validphys2/src/validphys/pdfplots.py +++ b/validphys2/src/validphys/pdfplots.py @@ -473,6 +473,11 @@ def plot_pdfs( xscale: One of the matplotlib allowed scales. If undefined, it will be set based on the scale in xgrid, which should be used instead. + pdfs_noband: A list of PDFs to plot without error bands, i.e. only the + central values of these PDFs will be plotted. The list can be formed of + strings, corresponding to PDF IDs, integers (starting from one), + corresponding to the index of the PDF in the list of PDFs, or a mixture + of both. """ yield from BandPDFPlotter( pdfs, From 468cdaf5f9fba1b5c94e86a80751fe3f8032c934 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Tue, 16 Apr 2019 00:42:04 +0200 Subject: [PATCH 259/429] Fixed ATLAS singletop data 7 TeV --- ...ATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.dat | 8 ++++---- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.dat | 10 +++++----- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.dat index 65d19f33f9..d0c75a2532 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM.dat @@ -1,5 +1,5 @@ ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM 6 4 - 1 HQP_YQ 1.000000000000e-01 3.003289000000e+04 7.000000000000e+03 7.500000000000e-01 1.300000000000e+01 9.000000000000e-02 1.200000000000e+01 2.550000000000e-02 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.200000000000e-02 1.600000000000e+00 1.050000000000e-02 1.400000000000e+00 1.425000000000e-02 1.900000000000e+00 - 2 HQP_YQ 4.000000000000e-01 3.003289000000e+04 7.000000000000e+03 6.567000000000e-01 9.100000000000e+00 7.260000000000e-02 1.100000000000e+01 1.584000000000e-02 2.400000000000e+00 1.026719046283e-02 1.555634918610e+00 6.600000000000e-03 1.000000000000e+00 5.283298969394e-02 8.004998438476e+00 0.000000000000e+00 0.000000000000e+00 - 3 HQP_YQ 8.500000000000e-01 3.003289000000e+04 7.000000000000e+03 5.541675000000e-01 1.100000000000e+01 6.660000000000e-02 1.200000000000e+01 6.105000000000e-03 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.306257073160e-02 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 - 4 HQP_YQ 2.050000000000e+00 3.003289000000e+04 7.000000000000e+03 1.634890000000e-01 1.100000000000e+01 2.282000000000e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 2.040757396164e-03 1.251998402555e+00 2.934000000000e-03 1.800000000000e+00 6.276558352314e-03 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 + 1 HQP_YQ 1.000000000000e-01 3.003289000000e+04 7.000000000000e+03 7.500000000000e-01 9.750000000000e-02 9.000000000000e-02 1.200000000000e+01 2.550000000000e-02 3.400000000000e+00 0.000000000000e+00 0.000000000000e+00 1.200000000000e-02 1.600000000000e+00 1.050000000000e-02 1.400000000000e+00 1.425000000000e-02 1.900000000000e+00 + 2 HQP_YQ 4.000000000000e-01 3.003289000000e+04 7.000000000000e+03 6.567000000000e-01 6.006000000000e-02 7.260000000000e-02 1.100000000000e+01 1.584000000000e-02 2.400000000000e+00 1.026719046283e-02 1.555634918610e+00 6.600000000000e-03 1.000000000000e+00 5.283298969394e-02 8.004998438476e+00 0.000000000000e+00 0.000000000000e+00 + 3 HQP_YQ 8.500000000000e-01 3.003289000000e+04 7.000000000000e+03 5.541675000000e-01 6.105000000000e-02 6.660000000000e-02 1.200000000000e+01 6.105000000000e-03 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.306257073160e-02 4.155418149838e+00 0.000000000000e+00 0.000000000000e+00 + 4 HQP_YQ 2.050000000000e+00 3.003289000000e+04 7.000000000000e+03 1.634890000000e-01 1.793000000000e-02 2.282000000000e-02 1.400000000000e+01 0.000000000000e+00 0.000000000000e+00 2.040757396164e-03 1.251998402555e+00 2.934000000000e-03 1.800000000000e+00 6.276558352314e-03 3.850649295898e+00 0.000000000000e+00 0.000000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.dat index eed8dbcdd8..71126263d1 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM.dat @@ -1,6 +1,6 @@ ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM 9 5 - 1 HQP_PTQ 2.250000000000e+01 3.003289000000e+04 7.000000000000e+03 9.052800000000e-03 5.300000000000e+00 3.864000000000e-04 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 3.530930755481e-04 3.837968212479e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.588000000000e-04 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 2 HQP_PTQ 6.000000000000e+01 3.003289000000e+04 7.000000000000e+03 7.846800000000e-03 6.900000000000e+00 4.290000000000e-04 5.500000000000e+00 1.326000000000e-04 1.700000000000e+00 2.356839409039e-04 3.021588985948e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.212000000000e-04 5.400000000000e+00 1.404000000000e-04 1.800000000000e+00 1.326000000000e-04 1.700000000000e+00 - 3 HQP_PTQ 9.250000000000e+01 3.003289000000e+04 7.000000000000e+03 5.387450000000e-03 8.000000000000e+00 2.756000000000e-04 5.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.793210180096e-04 3.383415434143e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.830000000000e-04 1.100000000000e+01 6.890000000000e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 - 4 HQP_PTQ 1.300000000000e+02 3.003289000000e+04 7.000000000000e+03 2.800000000000e-03 1.100000000000e+01 1.736000000000e-04 6.200000000000e+00 8.400000000000e-05 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.920000000000e-05 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 2.800000000000e-05 1.000000000000e+00 3.920000000000e-04 1.400000000000e+01 7.560000000000e-05 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 - 5 HQP_PTQ 3.250000000000e+02 3.003289000000e+04 7.000000000000e+03 1.646400000000e-04 1.500000000000e+01 1.488000000000e-05 9.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.254215292524e-05 7.838845578272e+00 4.320000000000e-06 2.700000000000e+00 4.480000000000e-06 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 1.104000000000e-05 6.900000000000e+00 7.641151745647e-06 4.775719841029e+00 1.760000000000e-06 1.100000000000e+00 + 1 HQP_PTQ 2.250000000000e+01 3.003289000000e+04 7.000000000000e+03 9.052800000000e-03 4.876000000000e-04 3.864000000000e-04 4.200000000000e+00 0.000000000000e+00 0.000000000000e+00 3.530930755481e-04 3.837968212479e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.588000000000e-04 3.900000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 HQP_PTQ 6.000000000000e+01 3.003289000000e+04 7.000000000000e+03 7.846800000000e-03 5.382000000000e-04 4.290000000000e-04 5.500000000000e+00 1.326000000000e-04 1.700000000000e+00 2.356839409039e-04 3.021588985948e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.212000000000e-04 5.400000000000e+00 1.404000000000e-04 1.800000000000e+00 1.326000000000e-04 1.700000000000e+00 + 3 HQP_PTQ 9.250000000000e+01 3.003289000000e+04 7.000000000000e+03 5.387450000000e-03 4.240000000000e-04 2.756000000000e-04 5.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.793210180096e-04 3.383415434143e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 5.830000000000e-04 1.100000000000e+01 6.890000000000e-05 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 HQP_PTQ 1.300000000000e+02 3.003289000000e+04 7.000000000000e+03 2.800000000000e-03 3.080000000000e-04 1.736000000000e-04 6.200000000000e+00 8.400000000000e-05 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.920000000000e-05 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 2.800000000000e-05 1.000000000000e+00 3.920000000000e-04 1.400000000000e+01 7.560000000000e-05 2.700000000000e+00 0.000000000000e+00 0.000000000000e+00 + 5 HQP_PTQ 3.250000000000e+02 3.003289000000e+04 7.000000000000e+03 1.646400000000e-04 2.400000000000e-05 1.488000000000e-05 9.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.254215292524e-05 7.838845578272e+00 4.320000000000e-06 2.700000000000e+00 4.480000000000e-06 2.800000000000e+00 0.000000000000e+00 0.000000000000e+00 1.104000000000e-05 6.900000000000e+00 7.641151745647e-06 4.775719841029e+00 1.760000000000e-06 1.100000000000e+00 From ed33b684402b170e93af4e6386d64c8b83a6cef1 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Tue, 16 Apr 2019 00:49:12 +0200 Subject: [PATCH 260/429] Corrected ATLAS singletop diff data 8 TeV --- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat | 8 ++++---- ...DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.dat | 8 ++++---- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat | 8 ++++---- ...ATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.dat | 8 ++++---- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat | 10 +++++----- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.dat | 10 +++++----- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat | 8 ++++---- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.dat | 8 ++++---- 8 files changed, 34 insertions(+), 34 deletions(-) diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat index e99e901d1e..1016fa0446 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT.dat @@ -1,5 +1,5 @@ ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT 1 4 - 1 HQP_PTQ 2.500000000000e+01 3.003289000000e+04 8.000000000000e+03 3.105000000000e-01 6.774193548387e+00 3.550704155516e-02 1.145388437263e+01 - 2 HQP_PTQ 7.500000000000e+01 3.003289000000e+04 8.000000000000e+03 2.275000000000e-01 5.701754385965e+00 1.951281630109e-02 8.558252763635e+00 - 3 HQP_PTQ 1.250000000000e+02 3.003289000000e+04 8.000000000000e+03 7.600000000000e-02 1.184210526316e+01 1.400000000000e-02 1.842105263158e+01 - 4 HQP_PTQ 2.250000000000e+02 3.003289000000e+04 8.000000000000e+03 9.350000000000e-03 1.978021978022e+01 2.871846096155e-03 3.155874830939e+01 + 1 HQP_PTQ 2.500000000000e+01 3.003289000000e+04 8.000000000000e+03 3.105000000000e-01 2.100000000000e-02 3.550704155516e-02 1.145388437263e+01 + 2 HQP_PTQ 7.500000000000e+01 3.003289000000e+04 8.000000000000e+03 2.275000000000e-01 1.300000000000e-02 1.951281630109e-02 8.558252763635e+00 + 3 HQP_PTQ 1.250000000000e+02 3.003289000000e+04 8.000000000000e+03 7.600000000000e-02 9.000000000000e-03 1.400000000000e-02 1.842105263158e+01 + 4 HQP_PTQ 2.250000000000e+02 3.003289000000e+04 8.000000000000e+03 9.350000000000e-03 1.800000000000e-03 2.871846096155e-03 3.155874830939e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.dat index 80141ef8ee..df99f2fbf5 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM.dat @@ -1,5 +1,5 @@ ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM 1 4 - 1 HQP_PTQ 2.500000000000e+01 3.003289000000e+04 8.000000000000e+03 9.675000000000e-03 4.963805584281e+00 7.650326790406e-04 7.911403092457e+00 - 2 HQP_PTQ 7.500000000000e+01 3.003289000000e+04 8.000000000000e+03 7.100000000000e-03 6.610407876231e+00 5.001999600160e-04 7.035161181660e+00 - 3 HQP_PTQ 1.250000000000e+02 3.003289000000e+04 8.000000000000e+03 2.355000000000e-03 1.144067796610e+01 4.550549417378e-04 1.928198905669e+01 - 4 HQP_PTQ 2.250000000000e+02 3.003289000000e+04 8.000000000000e+03 2.905000000000e-04 2.007042253521e+01 8.301054149926e-05 2.922906390819e+01 + 1 HQP_PTQ 2.500000000000e+01 3.003289000000e+04 8.000000000000e+03 9.675000000000e-03 4.800000000000e-04 7.650326790406e-04 7.911403092457e+00 + 2 HQP_PTQ 7.500000000000e+01 3.003289000000e+04 8.000000000000e+03 7.100000000000e-03 4.700000000000e-04 5.001999600160e-04 7.035161181660e+00 + 3 HQP_PTQ 1.250000000000e+02 3.003289000000e+04 8.000000000000e+03 2.355000000000e-03 2.700000000000e-04 4.550549417378e-04 1.928198905669e+01 + 4 HQP_PTQ 2.250000000000e+02 3.003289000000e+04 8.000000000000e+03 2.905000000000e-04 5.700000000000e-05 8.301054149926e-05 2.922906390819e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat index 6f9d5d3a9c..4185e1d45c 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat @@ -1,5 +1,5 @@ ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP 1 4 - 1 HQP_YQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 2.145000000000e+01 7.906976744186e+00 1.851350858157e+00 8.610934223988e+00 - 2 HQP_YQ 5.000000000000e-01 3.003289000000e+04 8.000000000000e+03 1.880000000000e+01 8.510638297872e+00 1.700000000000e+00 9.042553191489e+00 - 3 HQP_YQ 1.000000000000e+00 3.003289000000e+04 8.000000000000e+03 1.630000000000e+01 7.361963190184e+00 1.600000000000e+00 9.815950920245e+00 - 4 HQP_YQ 1.750000000000e+00 3.003289000000e+04 8.000000000000e+03 7.050000000000e+00 1.142857142857e+01 1.152171862180e+00 1.645959803115e+01 + 1 HQP_YQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 2.145000000000e+01 1.700000000000e+00 1.851350858157e+00 8.610934223988e+00 + 2 HQP_YQ 5.000000000000e-01 3.003289000000e+04 8.000000000000e+03 1.880000000000e+01 1.600000000000e+00 1.700000000000e+00 9.042553191489e+00 + 3 HQP_YQ 1.000000000000e+00 3.003289000000e+04 8.000000000000e+03 1.630000000000e+01 1.200000000000e+00 1.600000000000e+00 9.815950920245e+00 + 4 HQP_YQ 1.750000000000e+00 3.003289000000e+04 8.000000000000e+03 7.050000000000e+00 8.000000000000e-01 1.152171862180e+00 1.645959803115e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.dat index 6767d7388f..eaea88a4b6 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM.dat @@ -1,5 +1,5 @@ ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM 1 4 - 1 HQP_YQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 7.115000000000e-01 7.703081232493e+00 4.364344166080e-02 6.112526843250e+00 - 2 HQP_YQ 5.000000000000e-01 3.003289000000e+04 8.000000000000e+03 6.260000000000e-01 8.466453674121e+00 4.600000000000e-02 7.348242811502e+00 - 3 HQP_YQ 1.000000000000e+00 3.003289000000e+04 8.000000000000e+03 5.435000000000e-01 6.813996316759e+00 4.350574674684e-02 8.012108056508e+00 - 4 HQP_YQ 1.750000000000e+00 3.003289000000e+04 8.000000000000e+03 2.335000000000e-01 9.871244635193e+00 2.950847335936e-02 1.266458084093e+01 + 1 HQP_YQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 7.115000000000e-01 5.500000000000e-02 4.364344166080e-02 6.112526843250e+00 + 2 HQP_YQ 5.000000000000e-01 3.003289000000e+04 8.000000000000e+03 6.260000000000e-01 5.300000000000e-02 4.600000000000e-02 7.348242811502e+00 + 3 HQP_YQ 1.000000000000e+00 3.003289000000e+04 8.000000000000e+03 5.435000000000e-01 3.700000000000e-02 4.350574674684e-02 8.012108056508e+00 + 4 HQP_YQ 1.750000000000e+00 3.003289000000e+04 8.000000000000e+03 2.335000000000e-01 2.300000000000e-02 2.950847335936e-02 1.266458084093e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat index 6688479faa..d599233e4e 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT.dat @@ -1,6 +1,6 @@ ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT 1 5 - 1 HQP_PTQ 2.500000000000e+01 3.003289000000e+04 8.000000000000e+03 4.645000000000e-01 5.353319057816e+00 3.667083309662e-02 7.852426787284e+00 - 2 HQP_PTQ 7.500000000000e+01 3.003289000000e+04 8.000000000000e+03 4.045000000000e-01 3.712871287129e+00 2.750908940696e-02 6.809180546277e+00 - 3 HQP_PTQ 1.250000000000e+02 3.003289000000e+04 8.000000000000e+03 1.485000000000e-01 6.711409395973e+00 1.751427988814e-02 1.175455026049e+01 - 4 HQP_PTQ 1.750000000000e+02 3.003289000000e+04 8.000000000000e+03 4.965000000000e-02 1.280487804878e+01 4.594289934255e-03 9.337987671251e+00 - 5 HQP_PTQ 2.500000000000e+02 3.003289000000e+04 8.000000000000e+03 1.015000000000e-02 1.862745098039e+01 1.251998402555e-03 1.227449414270e+01 + 1 HQP_PTQ 2.500000000000e+01 3.003289000000e+04 8.000000000000e+03 4.645000000000e-01 2.500000000000e-02 3.667083309662e-02 7.852426787284e+00 + 2 HQP_PTQ 7.500000000000e+01 3.003289000000e+04 8.000000000000e+03 4.045000000000e-01 1.500000000000e-02 2.750908940696e-02 6.809180546277e+00 + 3 HQP_PTQ 1.250000000000e+02 3.003289000000e+04 8.000000000000e+03 1.485000000000e-01 1.000000000000e-02 1.751427988814e-02 1.175455026049e+01 + 4 HQP_PTQ 1.750000000000e+02 3.003289000000e+04 8.000000000000e+03 4.965000000000e-02 6.300000000000e-03 4.594289934255e-03 9.337987671251e+00 + 5 HQP_PTQ 2.500000000000e+02 3.003289000000e+04 8.000000000000e+03 1.015000000000e-02 1.900000000000e-03 1.251998402555e-03 1.227449414270e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.dat index ba21fc953a..70740e2544 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM.dat @@ -1,6 +1,6 @@ ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM 1 5 - 1 HQP_PTQ 2.500000000000e+01 3.003289000000e+04 8.000000000000e+03 8.515000000000e-03 3.850641773629e+00 3.829817228015e-04 4.468864910169e+00 - 2 HQP_PTQ 7.500000000000e+01 3.003289000000e+04 8.000000000000e+03 7.455000000000e-03 4.312668463612e+00 4.378070351194e-04 5.900364354708e+00 - 3 HQP_PTQ 1.250000000000e+02 3.003289000000e+04 8.000000000000e+03 2.720000000000e-03 6.593406593407e+00 2.803569153775e-04 1.026948407976e+01 - 4 HQP_PTQ 1.750000000000e+02 3.003289000000e+04 8.000000000000e+03 9.050000000000e-04 1.333333333333e+01 7.533259586660e-05 8.370288429622e+00 - 5 HQP_PTQ 2.500000000000e+02 3.003289000000e+04 8.000000000000e+03 1.855000000000e-04 1.871657754011e+01 2.060946384552e-05 1.102110366071e+01 + 1 HQP_PTQ 2.500000000000e+01 3.003289000000e+04 8.000000000000e+03 8.515000000000e-03 3.300000000000e-04 3.829817228015e-04 4.468864910169e+00 + 2 HQP_PTQ 7.500000000000e+01 3.003289000000e+04 8.000000000000e+03 7.455000000000e-03 3.200000000000e-04 4.378070351194e-04 5.900364354708e+00 + 3 HQP_PTQ 1.250000000000e+02 3.003289000000e+04 8.000000000000e+03 2.720000000000e-03 1.800000000000e-04 2.803569153775e-04 1.026948407976e+01 + 4 HQP_PTQ 1.750000000000e+02 3.003289000000e+04 8.000000000000e+03 9.050000000000e-04 1.200000000000e-04 7.533259586660e-05 8.370288429622e+00 + 5 HQP_PTQ 2.500000000000e+02 3.003289000000e+04 8.000000000000e+03 1.855000000000e-04 3.500000000000e-05 2.060946384552e-05 1.102110366071e+01 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat index a223fc6e01..3d4da191e7 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP.dat @@ -1,5 +1,5 @@ ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP 1 4 - 1 HQP_YQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 3.290000000000e+01 5.504587155963e+00 2.317326045251e+00 7.086623991594e+00 - 2 HQP_YQ 5.000000000000e-01 3.003289000000e+04 8.000000000000e+03 3.140000000000e+01 5.714285714286e+00 2.304343724361e+00 7.315376902732e+00 - 3 HQP_YQ 1.000000000000e+00 3.003289000000e+04 8.000000000000e+03 2.530000000000e+01 5.138339920949e+00 1.900000000000e+00 7.509881422925e+00 - 4 HQP_YQ 1.750000000000e+00 3.003289000000e+04 8.000000000000e+03 1.540000000000e+01 5.844155844156e+00 1.200000000000e+00 7.792207792208e+00 + 1 HQP_YQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 3.290000000000e+01 1.800000000000e+00 2.317326045251e+00 7.086623991594e+00 + 2 HQP_YQ 5.000000000000e-01 3.003289000000e+04 8.000000000000e+03 3.140000000000e+01 1.800000000000e+00 2.304343724361e+00 7.315376902732e+00 + 3 HQP_YQ 1.000000000000e+00 3.003289000000e+04 8.000000000000e+03 2.530000000000e+01 1.300000000000e+00 1.900000000000e+00 7.509881422925e+00 + 4 HQP_YQ 1.750000000000e+00 3.003289000000e+04 8.000000000000e+03 1.540000000000e+01 9.000000000000e-01 1.200000000000e+00 7.792207792208e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.dat index 2c09e8a3e4..2ef68709fe 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM.dat @@ -1,5 +1,5 @@ ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM 1 4 - 1 HQP_YQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 6.400000000000e-01 5.503144654088e+00 4.337049688440e-02 6.819260516416e+00 - 2 HQP_YQ 5.000000000000e-01 3.003289000000e+04 8.000000000000e+03 6.120000000000e-01 5.546492659054e+00 3.203123475609e-02 5.225323777503e+00 - 3 HQP_YQ 1.000000000000e+00 3.003289000000e+04 8.000000000000e+03 4.915000000000e-01 4.878048780488e+00 2.650943228362e-02 5.388095992606e+00 - 4 HQP_YQ 1.750000000000e+00 3.003289000000e+04 8.000000000000e+03 2.985000000000e-01 4.682274247492e+00 1.451723114096e-02 4.855261251157e+00 + 1 HQP_YQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 6.400000000000e-01 3.500000000000e-02 4.337049688440e-02 6.819260516416e+00 + 2 HQP_YQ 5.000000000000e-01 3.003289000000e+04 8.000000000000e+03 6.120000000000e-01 3.400000000000e-02 3.203123475609e-02 5.225323777503e+00 + 3 HQP_YQ 1.000000000000e+00 3.003289000000e+04 8.000000000000e+03 4.915000000000e-01 2.400000000000e-02 2.650943228362e-02 5.388095992606e+00 + 4 HQP_YQ 1.750000000000e+00 3.003289000000e+04 8.000000000000e+03 2.985000000000e-01 1.400000000000e-02 1.451723114096e-02 4.855261251157e+00 From 55ffa8b0edaab176fc54ec786114e1b487e7a2f8 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Tue, 16 Apr 2019 00:59:22 +0200 Subject: [PATCH 261/429] Fixed residual K factors --- .../CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat | 8 ++++---- ...CD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_NUM.dat | 8 ++++---- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat index e4239d9ca5..dc2f43f65b 100644 --- a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP.dat @@ -7,7 +7,7 @@ TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 PDFset: NNPDF31_nnlo_hessian_pdfas Warnings: ******************************************************************************** -0.9752 -0.9727 -0.9718 -0.9710 +0.9752 0.0000 +0.9727 0.0000 +0.9718 0.0000 +0.9710 0.0000 diff --git a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_NUM.dat b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_NUM.dat index d21873d0e7..82d32d9e72 100644 --- a/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_NUM.dat +++ b/nnpdfcpp/data/NNLOCFAC/CF_QCD_ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_NUM.dat @@ -7,7 +7,7 @@ TheoryInput: NNPDF3.1 with alphas(MZ)=0.118 PDFset: NNPDF31_nnlo_hessian_pdfas Warnings: ******************************************************************************** -0.9752 -0.9727 -0.9718 -0.9710 +0.9752 0.0000 +0.9727 0.0000 +0.9718 0.0000 +0.9710 0.0000 From 65379adeeaea291d830e4d9299a41e09d547764f Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Tue, 16 Apr 2019 11:30:11 +0100 Subject: [PATCH 262/429] Fix positioning of error messages and edit messages --- validphys2/src/validphys/checks.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/checks.py b/validphys2/src/validphys/checks.py index 2584fbfad2..8106d84976 100644 --- a/validphys2/src/validphys/checks.py +++ b/validphys2/src/validphys/checks.py @@ -143,8 +143,10 @@ def check_pdfs_noband(pdfs, pdfs_noband): """Allows pdfs_noband to be specified as a list of PDF IDs or a list of PDF indexes (starting from one).""" - msg = ("pdfs_noband should be a list of PDF IDs or a list of PDF indexes " - "(starting from one)") + msg = ("pdfs_noband should be a list of PDF IDs (strings) or a list of " + "PDF indexes (integers, starting from one)") + msg_range = ("At least one of your pdf_noband indexes is out of range. " + "Note that pdf_noband indexing starts at 1, not 0.") if pdfs_noband is None: return @@ -155,15 +157,14 @@ def check_pdfs_noband(pdfs, pdfs_noband): pdfs_noband_combined = [] for pdf_noband in pdfs_noband: - if isinstance(pdf_noband, int): + if not pdf_noband <= len(names) or pdf_noband < 0: + raise CheckError(msg_range) # Convert PDF index to list index (i.e. starting from zero) pdf_noband -= 1 for pdf in pdfs: if pdf.name == names[pdf_noband]: pdfs_noband_combined.append(pdf) - if not pdf_noband < len(names) or pdf_noband < 0: - raise CheckError(msg) elif isinstance(pdf_noband, str): try: @@ -174,8 +175,7 @@ def check_pdfs_noband(pdfs, pdfs_noband): raise CheckError(msg, pdf_noband, alternatives=names) else: - raise CheckError("pdf_noband must be a list of strings " - "(PDF IDs) or a list of integers (PDF indexes).") + raise CheckError(msg) return {'pdfs_noband': pdfs_noband_combined} From 06427a21c92b6029283f5fc50701f87e01ecbcd5 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Tue, 16 Apr 2019 12:19:56 +0100 Subject: [PATCH 263/429] Remove for loops --- validphys2/src/validphys/checks.py | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/checks.py b/validphys2/src/validphys/checks.py index 8106d84976..e6ce3eb531 100644 --- a/validphys2/src/validphys/checks.py +++ b/validphys2/src/validphys/checks.py @@ -162,17 +162,14 @@ def check_pdfs_noband(pdfs, pdfs_noband): raise CheckError(msg_range) # Convert PDF index to list index (i.e. starting from zero) pdf_noband -= 1 - for pdf in pdfs: - if pdf.name == names[pdf_noband]: - pdfs_noband_combined.append(pdf) + pdfs_noband_combined.append(pdfs[pdf_noband]) elif isinstance(pdf_noband, str): try: - for pdf in pdfs: - if pdf.name == pdf_noband: - pdfs_noband_combined.append(pdf) + pdf_index = names.index(pdf_noband) + pdfs_noband_combined.append(pdfs[pdf_index]) except ValueError: - raise CheckError(msg, pdf_noband, alternatives=names) + raise CheckError(msg, pdf_noband, alternatives=names) else: raise CheckError(msg) From 364929bb22a30d6197b998b73898735ef2d6ff74 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Tue, 16 Apr 2019 15:26:48 +0100 Subject: [PATCH 264/429] changed logic in config.py for producing fitthcovmat, only booleans are allowed --- validphys2/src/validphys/config.py | 34 ++++++++++++------------------ 1 file changed, 14 insertions(+), 20 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index af1e417c98..b6e48efb39 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -693,24 +693,20 @@ def res(*args, **kwargs): res.__name__ = 'theory_covmat' return res - def produce_fitthcovmat(self, fit, use_theorycovmat=True): - """If True, returns the corresponding covariance matrix for the given fit if it exists. If - the fit doesn't have a theory covariance matrix then returns `False`. Alternatively if - a path is given then the covariance matrix from that location is used instead of the fit`s - covariance matrix. + def produce_fitthcovmat(self, use_theorycovmat: bool = True, fit: (str, type(None)) = None): + """If a `fit` is specified and `use_theorycovmat` is `True` then returns the corresponding + covariance matrix for the given fit if it exists. If the fit doesn't have a theory + covariance matrix then returns `False`. If no fit is specified then returns `False`, and + warns the user if `use_theorycovmat` was `True` """ - if isinstance(use_theorycovmat, str): - if os.path.exists(use_theorycovmat): - log.warning("Using path to a covariance matrix, if the experiment specifications " - "do not match between generation and use of covariance matrix then " - "this will lead to incorrect results.") - use_theorycovmat = ThCovMatSpec(use_theorycovmat) - else: - raise ConfigError( - f"No file found at {use_theorycovmat}. If specifying " - "`use_theorycovmat: ` then should point at a " - "valid theory covariance matrix.") - elif isinstance(use_theorycovmat, bool) and use_theorycovmat: + + if not use_theorycovmat: + pass + elif not fit: + log.warning("use_theorycovmat was true but no fit was specified, theory covariance " + "matrix will not be used in any statstical estimators") + use_theorycovmat = False + elif use_theorycovmat and fit: try: use_theorycovmat = fit.as_input()['theorycovmatconfig']['use_thcovmat_in_fitting'] except KeyError: @@ -726,9 +722,7 @@ def produce_fitthcovmat(self, fit, use_theorycovmat=True): f"usual location: {use_theorycovmat}.") use_theorycovmat = ThCovMatSpec(use_theorycovmat) else: - raise ConfigError( - "use_theorycovmat should either be a bool or a path to a valid " - "theory covariance matrix CSV") + raise ConfigError("use_theorycovmat should be a boolean, by default it is True") return use_theorycovmat def parse_speclabel(self, label:(str, type(None))): From 47ada540b0eac58c245bb0bd498d67e2dc84f52f Mon Sep 17 00:00:00 2001 From: wilsonm Date: Tue, 16 Apr 2019 16:19:32 +0100 Subject: [PATCH 265/429] Require user to specify use_theorycovmat=False if no fit is provided --- validphys2/src/validphys/config.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index b6e48efb39..41b47e67c4 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -703,14 +703,15 @@ def produce_fitthcovmat(self, use_theorycovmat: bool = True, fit: (str, type(Non if not use_theorycovmat: pass elif not fit: - log.warning("use_theorycovmat was true but no fit was specified, theory covariance " - "matrix will not be used in any statstical estimators") - use_theorycovmat = False + raise ConfigError("`use_theorycovmat` was true but no `fit` was specified.") elif use_theorycovmat and fit: try: use_theorycovmat = fit.as_input()['theorycovmatconfig']['use_thcovmat_in_fitting'] except KeyError: - #assume covmat wasn't used and fill in key accordingly + #assume covmat wasn't used and fill in key accordingly but warn user + log.warning("use_theorycovmat was true but the flag `use_thcovmat_in_fitting` " + f"didn't exist in the runcard for {fit.name}. Theory covariance " + "matrix will not be used in any statistical estimators.") use_theorycovmat = False #Now set as expected path and check it exists if use_theorycovmat: From dc0a2504387f9a4959a0e743b00ec585e4117faf Mon Sep 17 00:00:00 2001 From: wilsonm Date: Tue, 16 Apr 2019 16:57:55 +0100 Subject: [PATCH 266/429] changed runcard flag to use_thcovmat_if_present --- validphys2/src/validphys/config.py | 48 ++++++++++--------- .../src/validphys/scripts/vp_comparefits.py | 6 +-- 2 files changed, 27 insertions(+), 27 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 41b47e67c4..9a21bf9de4 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -693,38 +693,40 @@ def res(*args, **kwargs): res.__name__ = 'theory_covmat' return res - def produce_fitthcovmat(self, use_theorycovmat: bool = True, fit: (str, type(None)) = None): - """If a `fit` is specified and `use_theorycovmat` is `True` then returns the corresponding - covariance matrix for the given fit if it exists. If the fit doesn't have a theory - covariance matrix then returns `False`. If no fit is specified then returns `False`, and - warns the user if `use_theorycovmat` was `True` + def produce_fitthcovmat( + self, use_thcovmat_if_present: bool = True, fit: (str, type(None)) = None): + """If a `fit` is specified and `use_thcovmat_if_present` is `True` then returns the + corresponding covariance matrix for the given fit if it exists. If the fit doesn't have a + theory covariance matrix then returns `False`. If no fit is specified then returns the user + must manually set `use_thcovmat_if_present` to be False, or provide an appropriate fit. """ + if not isinstance(use_thcovmat_if_present, bool): + raise ConfigError("use_thcovmat_if_present should be a boolean, by default it is True") - if not use_theorycovmat: - pass - elif not fit: - raise ConfigError("`use_theorycovmat` was true but no `fit` was specified.") - elif use_theorycovmat and fit: + if use_thcovmat_if_present and not fit: + raise ConfigError("`use_thcovmat_if_present` was true but no `fit` was specified.") + + if use_thcovmat_if_present and fit: try: - use_theorycovmat = fit.as_input()['theorycovmatconfig']['use_thcovmat_in_fitting'] + use_thcovmat_if_present = fit.as_input()[ + 'theorycovmatconfig']['use_thcovmat_in_fitting'] except KeyError: #assume covmat wasn't used and fill in key accordingly but warn user - log.warning("use_theorycovmat was true but the flag `use_thcovmat_in_fitting` " - f"didn't exist in the runcard for {fit.name}. Theory covariance " - "matrix will not be used in any statistical estimators.") - use_theorycovmat = False + log.warning("use_thcovmat_if_present was true but the flag " + "`use_thcovmat_in_fitting` didn't exist in the runcard for " + f"{fit.name}. Theory covariance matrix will not be used " + "in any statistical estimators.") + use_thcovmat_if_present = False #Now set as expected path and check it exists - if use_theorycovmat: - use_theorycovmat = ( + if use_thcovmat_if_present: + use_thcovmat_if_present = ( fit.path/'tables'/'datacuts_theory_theorycovmatconfig_theory_covmat.csv') - if not os.path.exists(use_theorycovmat): + if not os.path.exists(use_thcovmat_if_present): raise ConfigError( "Fit appeared to use theory covmat in fit but the file was not at the " - f"usual location: {use_theorycovmat}.") - use_theorycovmat = ThCovMatSpec(use_theorycovmat) - else: - raise ConfigError("use_theorycovmat should be a boolean, by default it is True") - return use_theorycovmat + f"usual location: {use_thcovmat_if_present}.") + use_thcovmat_if_present = ThCovMatSpec(use_thcovmat_if_present) + return use_thcovmat_if_present def parse_speclabel(self, label:(str, type(None))): """A label for a dataspec. To be used in some plots""" diff --git a/validphys2/src/validphys/scripts/vp_comparefits.py b/validphys2/src/validphys/scripts/vp_comparefits.py index 3ef7eea875..07462da8d0 100644 --- a/validphys2/src/validphys/scripts/vp_comparefits.py +++ b/validphys2/src/validphys/scripts/vp_comparefits.py @@ -127,9 +127,7 @@ def interactive_keywords(self): return [k.strip() for k in kwinp.split(',') if k] def interactive_theory_cov(self): - """Interactively fill in the `use_theorycovmat` runcard flag. Only booleans are permitted - at present, since the option to pass a path to `use_theorycovmat` has a high possibility of - producing incorrect results or errors, and has very specific use cases. + """Interactively fill in the `use_thcovmat_if_present` runcard flag. Which is True by default """ message = ("Do you want to use the fitted covariance matrix (including theory covariance\n" "matrix) to calculate the statistical estimators? ") @@ -180,7 +178,7 @@ def complete_mapping(self): }, 'speclabel': 'Reference Fit' } - autosettings['use_theorycovmat'] = args['theory_cov'] + autosettings['use_thcovmat_if_present'] = args['theory_cov'] return autosettings From cd87337ca4fcc109074db4fa84afb8b408073bb5 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Sat, 20 Apr 2019 18:55:06 +0200 Subject: [PATCH 267/429] fixed small bug in the implementation of the ATLAS single top differential distributions --- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat | 10 +++++----- ...DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.dat | 10 +++++----- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat | 8 ++++---- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat | 10 +++++----- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat | 8 ++++---- .../DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.dat | 8 ++++---- 6 files changed, 27 insertions(+), 27 deletions(-) diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat index 11e85e5306..684216a627 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT.dat @@ -1,6 +1,6 @@ ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT 17 5 - 1 HQP_PTQ 2.250000000000e+01 3.003289000000e+04 7.000000000000e+03 1.897150000000e-01 0.000000000000e+00 2.090769208418e-02 1.100404846536e+01 9.044503807231e-03 4.760265161701e+00 9.494511296072e-04 4.997111208459e-01 6.248850822458e-05 3.288868853925e-02 -5.770586980957e-07 -3.037151042609e-04 2.280000000000e-02 1.200000000000e+01 2.660000000000e-02 1.400000000000e+01 1.681982981483e-02 8.852542007808e+00 1.900000000000e-03 1.000000000000e+00 5.700000000000e-03 3.000000000000e+00 1.064000000000e-02 5.600000000000e+00 4.940000000000e-03 2.600000000000e+00 7.220000000000e-03 3.800000000000e+00 2.318000000000e-02 1.220000000000e+01 5.890000000000e-03 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 3.420000000000e-03 1.800000000000e+00 - 2 HQP_PTQ 6.000000000000e+01 3.003289000000e+04 7.000000000000e+03 2.279300000000e-01 0.000000000000e+00 1.272292473806e-02 5.531706407850e+00 -1.357175414125e-02 -5.900762670108e+00 3.103829038284e-03 1.349490886211e+00 -2.280896830543e-05 -9.916942741493e-03 -8.314598958721e-07 -3.615043025531e-04 2.093000000000e-02 9.100000000000e+00 2.530000000000e-02 1.100000000000e+01 7.074135989646e-03 3.075711299846e+00 5.060000000000e-03 2.200000000000e+00 7.130000000000e-03 3.100000000000e+00 4.600000000000e-03 2.000000000000e+00 5.980000000000e-03 2.600000000000e+00 9.890000000000e-03 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140000000000e-03 1.800000000000e+00 - 3 HQP_PTQ 9.250000000000e+01 3.003289000000e+04 7.000000000000e+03 9.874600000000e-02 0.000000000000e+00 5.396954508479e-03 5.563870627298e+00 -3.058938735798e-03 -3.153545088451e+00 -1.097831561223e-02 -1.131785114663e+01 6.679936874055e-05 6.886532859851e-02 8.191224844089e-08 8.444561694937e-05 1.358000000000e-02 1.400000000000e+01 1.552000000000e-02 1.600000000000e+01 3.890897197306e-03 4.011234224026e+00 3.298000000000e-03 3.400000000000e+00 3.104000000000e-03 3.200000000000e+00 2.134000000000e-03 2.200000000000e+00 2.522000000000e-03 2.600000000000e+00 5.141000000000e-03 5.300000000000e+00 9.312000000000e-03 9.600000000000e+00 3.104000000000e-03 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.746000000000e-03 1.800000000000e+00 - 4 HQP_PTQ 1.300000000000e+02 3.003289000000e+04 7.000000000000e+03 1.313000000000e-02 0.000000000000e+00 4.125424558032e-04 3.173403506179e+00 2.004911575032e-04 1.542239673101e+00 -2.228007145600e-04 -1.713851650461e+00 -3.341311582866e-03 -2.570239679128e+01 2.960695468476e-06 2.277458052674e-02 3.640000000000e-03 2.800000000000e+01 6.240000000000e-03 4.800000000000e+01 1.829262146331e-03 1.407124727947e+01 0.000000000000e+00 0.000000000000e+00 4.680000000000e-04 3.600000000000e+00 1.300000000000e-03 1.000000000000e+01 3.380000000000e-04 2.600000000000e+00 9.360000000000e-04 7.200000000000e+00 1.430000000000e-03 1.100000000000e+01 2.470000000000e-04 1.900000000000e+00 8.970000000000e-04 6.900000000000e+00 2.340000000000e-04 1.800000000000e+00 - 5 HQP_PTQ 3.250000000000e+02 3.003289000000e+04 7.000000000000e+03 1.400000000000e-03 0.000000000000e+00 5.868910588179e-05 4.192078991557e+00 -1.792609388359e-05 -1.280435277400e+00 1.311269196961e-05 9.366208549722e-01 2.770582428833e-05 1.978987449166e+00 3.574782351678e-04 2.553415965484e+01 3.920000000000e-04 2.800000000000e+01 4.620000000000e-04 3.300000000000e+01 0.000000000000e+00 0.000000000000e+00 4.200000000000e-05 3.000000000000e+00 8.260000000000e-05 5.900000000000e+00 8.260000000000e-05 5.900000000000e+00 3.780000000000e-05 2.700000000000e+00 1.148000000000e-04 8.200000000000e+00 0.000000000000e+00 0.000000000000e+00 8.260000000000e-05 5.900000000000e+00 3.640000000000e-05 2.600000000000e+00 2.520000000000e-05 1.800000000000e+00 + 1 HQP_PTQ 2.250000000000e+01 3.003289000000e+04 7.000000000000e+03 1.897150000000e-01 1.000000000000e-10 2.090769208418e-02 1.100404846536e+01 9.044503807231e-03 4.760265161701e+00 9.494511296072e-04 4.997111208459e-01 6.248850822458e-05 3.288868853925e-02 -5.770586980957e-07 -3.037151042609e-04 2.280000000000e-02 1.200000000000e+01 2.660000000000e-02 1.400000000000e+01 1.681982981483e-02 8.852542007808e+00 1.900000000000e-03 1.000000000000e+00 5.700000000000e-03 3.000000000000e+00 1.064000000000e-02 5.600000000000e+00 4.940000000000e-03 2.600000000000e+00 7.220000000000e-03 3.800000000000e+00 2.318000000000e-02 1.220000000000e+01 5.890000000000e-03 3.100000000000e+00 0.000000000000e+00 0.000000000000e+00 3.420000000000e-03 1.800000000000e+00 + 2 HQP_PTQ 6.000000000000e+01 3.003289000000e+04 7.000000000000e+03 2.279300000000e-01 1.000000000000e-10 1.272292473806e-02 5.531706407850e+00 -1.357175414125e-02 -5.900762670108e+00 3.103829038284e-03 1.349490886211e+00 -2.280896830543e-05 -9.916942741493e-03 -8.314598958721e-07 -3.615043025531e-04 2.093000000000e-02 9.100000000000e+00 2.530000000000e-02 1.100000000000e+01 7.074135989646e-03 3.075711299846e+00 5.060000000000e-03 2.200000000000e+00 7.130000000000e-03 3.100000000000e+00 4.600000000000e-03 2.000000000000e+00 5.980000000000e-03 2.600000000000e+00 9.890000000000e-03 4.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.140000000000e-03 1.800000000000e+00 + 3 HQP_PTQ 9.250000000000e+01 3.003289000000e+04 7.000000000000e+03 9.874600000000e-02 1.000000000000e-10 5.396954508479e-03 5.563870627298e+00 -3.058938735798e-03 -3.153545088451e+00 -1.097831561223e-02 -1.131785114663e+01 6.679936874055e-05 6.886532859851e-02 8.191224844089e-08 8.444561694937e-05 1.358000000000e-02 1.400000000000e+01 1.552000000000e-02 1.600000000000e+01 3.890897197306e-03 4.011234224026e+00 3.298000000000e-03 3.400000000000e+00 3.104000000000e-03 3.200000000000e+00 2.134000000000e-03 2.200000000000e+00 2.522000000000e-03 2.600000000000e+00 5.141000000000e-03 5.300000000000e+00 9.312000000000e-03 9.600000000000e+00 3.104000000000e-03 3.200000000000e+00 0.000000000000e+00 0.000000000000e+00 1.746000000000e-03 1.800000000000e+00 + 4 HQP_PTQ 1.300000000000e+02 3.003289000000e+04 7.000000000000e+03 1.313000000000e-02 1.000000000000e-10 4.125424558032e-04 3.173403506179e+00 2.004911575032e-04 1.542239673101e+00 -2.228007145600e-04 -1.713851650461e+00 -3.341311582866e-03 -2.570239679128e+01 2.960695468476e-06 2.277458052674e-02 3.640000000000e-03 2.800000000000e+01 6.240000000000e-03 4.800000000000e+01 1.829262146331e-03 1.407124727947e+01 0.000000000000e+00 0.000000000000e+00 4.680000000000e-04 3.600000000000e+00 1.300000000000e-03 1.000000000000e+01 3.380000000000e-04 2.600000000000e+00 9.360000000000e-04 7.200000000000e+00 1.430000000000e-03 1.100000000000e+01 2.470000000000e-04 1.900000000000e+00 8.970000000000e-04 6.900000000000e+00 2.340000000000e-04 1.800000000000e+00 + 5 HQP_PTQ 3.250000000000e+02 3.003289000000e+04 7.000000000000e+03 1.400000000000e-03 1.000000000000e-10 5.868910588179e-05 4.192078991557e+00 -1.792609388359e-05 -1.280435277400e+00 1.311269196961e-05 9.366208549722e-01 2.770582428833e-05 1.978987449166e+00 3.574782351678e-04 2.553415965484e+01 3.920000000000e-04 2.800000000000e+01 4.620000000000e-04 3.300000000000e+01 0.000000000000e+00 0.000000000000e+00 4.200000000000e-05 3.000000000000e+00 8.260000000000e-05 5.900000000000e+00 8.260000000000e-05 5.900000000000e+00 3.780000000000e-05 2.700000000000e+00 1.148000000000e-04 8.200000000000e+00 0.000000000000e+00 0.000000000000e+00 8.260000000000e-05 5.900000000000e+00 3.640000000000e-05 2.600000000000e+00 2.520000000000e-05 1.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.dat index 3f42179ff8..8de2dd1e48 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM.dat @@ -1,6 +1,6 @@ ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM 15 5 - 1 HQP_PTQ 2.250000000000e+01 3.003289000000e+04 7.000000000000e+03 9.537600000000e-03 0.000000000000e+00 5.631397163376e-04 5.866038711850e+00 -5.014378981976e-04 -5.223311439558e+00 -2.253102171176e-04 -2.346981428309e+00 -1.878361221530e-05 -1.956626272427e-01 1.269209321725e-07 1.322093043463e-03 8.352000000000e-04 8.700000000000e+00 0.000000000000e+00 0.000000000000e+00 6.837599578800e-04 7.122499561250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.728000000000e-04 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 7.639543441856e-04 7.957857751933e+00 1.248000000000e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 - 2 HQP_PTQ 6.000000000000e+01 3.003289000000e+04 7.000000000000e+03 1.151880000000e-02 0.000000000000e+00 -9.532477886887e-04 -8.217653350765e+00 -3.488813327075e-04 -3.007597695754e+00 -1.070719963959e-04 -9.230344516888e-01 -1.298810183288e-05 -1.119663951111e-01 7.646475132239e-08 6.591788907102e-04 1.113600000000e-03 9.600000000000e+00 5.220000000000e-04 4.500000000000e+00 5.419509571908e-04 4.671991010265e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.320000000000e-04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.234794446015e-04 3.650684867254e+00 3.480000000000e-04 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 3 HQP_PTQ 9.250000000000e+01 3.003289000000e+04 7.000000000000e+03 5.017600000000e-03 0.000000000000e+00 -8.975731493493e-05 -1.831781937447e+00 5.703157529718e-04 1.163909699943e+01 -2.691260866807e-04 -5.492369115933e+00 -4.868617159824e-06 -9.935953387397e-02 1.111877564147e-07 2.269137886015e-03 6.860000000000e-04 1.400000000000e+01 8.820000000000e-05 1.800000000000e+00 2.781370525478e-04 5.676266378527e+00 7.840000000000e-05 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 8.330000000000e-05 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 6.624067858952e-04 1.351850583460e+01 6.860000000000e-05 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 - 4 HQP_PTQ 1.300000000000e+02 3.003289000000e+04 7.000000000000e+03 7.217000000000e-04 0.000000000000e+00 1.412367477354e-05 2.017667824792e+00 7.008029001764e-05 1.001147000252e+01 4.410000679192e-05 6.300000970274e+00 -1.598774473878e-04 -2.283963534111e+01 1.611820829393e-07 2.302601184847e-02 1.960000000000e-04 2.800000000000e+01 2.730000000000e-04 3.900000000000e+01 1.004951118214e-04 1.435644454592e+01 1.260000000000e-05 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 4.237602506135e-05 6.053717865907e+00 1.750000000000e-05 2.500000000000e+00 4.699393577899e-05 6.713419396999e+00 1.260000000000e-05 1.800000000000e+00 4.690000000000e-05 6.700000000000e+00 - 5 HQP_PTQ 3.250000000000e+02 3.003289000000e+04 7.000000000000e+03 6.996500000000e-05 0.000000000000e+00 2.350184159687e-06 3.357405942410e+00 4.023625680811e-06 5.748036686873e+00 1.536002517507e-05 2.194289310724e+01 7.651217458454e-06 1.093031065493e+01 3.880150618350e-06 5.543072311929e+00 1.890000000000e-05 2.700000000000e+01 1.540000000000e-05 2.200000000000e+01 0.000000000000e+00 0.000000000000e+00 8.400000000000e-07 1.200000000000e+00 1.830737556287e-06 2.615339366124e+00 1.400000000000e-06 2.000000000000e+00 2.520000000000e-06 3.600000000000e+00 3.048618539601e-06 4.355169342287e+00 3.570000000000e-06 5.100000000000e+00 1.960000000000e-06 2.800000000000e+00 + 1 HQP_PTQ 2.250000000000e+01 3.003289000000e+04 7.000000000000e+03 9.537600000000e-03 1.000000000000e-10 5.631397163376e-04 5.866038711850e+00 -5.014378981976e-04 -5.223311439558e+00 -2.253102171176e-04 -2.346981428309e+00 -1.878361221530e-05 -1.956626272427e-01 1.269209321725e-07 1.322093043463e-03 8.352000000000e-04 8.700000000000e+00 0.000000000000e+00 0.000000000000e+00 6.837599578800e-04 7.122499561250e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 1.728000000000e-04 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 7.639543441856e-04 7.957857751933e+00 1.248000000000e-04 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 + 2 HQP_PTQ 6.000000000000e+01 3.003289000000e+04 7.000000000000e+03 1.151880000000e-02 1.000000000000e-10 -9.532477886887e-04 -8.217653350765e+00 -3.488813327075e-04 -3.007597695754e+00 -1.070719963959e-04 -9.230344516888e-01 -1.298810183288e-05 -1.119663951111e-01 7.646475132239e-08 6.591788907102e-04 1.113600000000e-03 9.600000000000e+00 5.220000000000e-04 4.500000000000e+00 5.419509571908e-04 4.671991010265e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.320000000000e-04 2.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.234794446015e-04 3.650684867254e+00 3.480000000000e-04 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 3 HQP_PTQ 9.250000000000e+01 3.003289000000e+04 7.000000000000e+03 5.017600000000e-03 1.000000000000e-10 -8.975731493493e-05 -1.831781937447e+00 5.703157529718e-04 1.163909699943e+01 -2.691260866807e-04 -5.492369115933e+00 -4.868617159824e-06 -9.935953387397e-02 1.111877564147e-07 2.269137886015e-03 6.860000000000e-04 1.400000000000e+01 8.820000000000e-05 1.800000000000e+00 2.781370525478e-04 5.676266378527e+00 7.840000000000e-05 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 8.330000000000e-05 1.700000000000e+00 0.000000000000e+00 0.000000000000e+00 6.624067858952e-04 1.351850583460e+01 6.860000000000e-05 1.400000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 HQP_PTQ 1.300000000000e+02 3.003289000000e+04 7.000000000000e+03 7.217000000000e-04 1.000000000000e-10 1.412367477354e-05 2.017667824792e+00 7.008029001764e-05 1.001147000252e+01 4.410000679192e-05 6.300000970274e+00 -1.598774473878e-04 -2.283963534111e+01 1.611820829393e-07 2.302601184847e-02 1.960000000000e-04 2.800000000000e+01 2.730000000000e-04 3.900000000000e+01 1.004951118214e-04 1.435644454592e+01 1.260000000000e-05 1.800000000000e+00 0.000000000000e+00 0.000000000000e+00 4.237602506135e-05 6.053717865907e+00 1.750000000000e-05 2.500000000000e+00 4.699393577899e-05 6.713419396999e+00 1.260000000000e-05 1.800000000000e+00 4.690000000000e-05 6.700000000000e+00 + 5 HQP_PTQ 3.250000000000e+02 3.003289000000e+04 7.000000000000e+03 6.996500000000e-05 1.000000000000e-10 2.350184159687e-06 3.357405942410e+00 4.023625680811e-06 5.748036686873e+00 1.536002517507e-05 2.194289310724e+01 7.651217458454e-06 1.093031065493e+01 3.880150618350e-06 5.543072311929e+00 1.890000000000e-05 2.700000000000e+01 1.540000000000e-05 2.200000000000e+01 0.000000000000e+00 0.000000000000e+00 8.400000000000e-07 1.200000000000e+00 1.830737556287e-06 2.615339366124e+00 1.400000000000e-06 2.000000000000e+00 2.520000000000e-06 3.600000000000e+00 3.048618539601e-06 4.355169342287e+00 3.570000000000e-06 5.100000000000e+00 1.960000000000e-06 2.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat index abcfc18221..de75e8f7ab 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP.dat @@ -1,5 +1,5 @@ ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP 15 4 - 1 HQP_YQ 1.000000000000e-01 3.003289000000e+04 7.000000000000e+03 1.500000000000e+01 0.000000000000e+00 1.937812649495e+00 1.291875099663e+01 -6.146875413709e-03 -4.097916942473e-02 -2.171870311984e-01 -1.447913541323e+00 1.319639566096e-02 8.797597107308e-02 1.650000000000e+00 1.100000000000e+01 1.650000000000e+00 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 3.450000000000e-01 2.300000000000e+00 5.100000000000e-01 3.400000000000e+00 3.750000000000e-01 2.500000000000e+00 4.050000000000e-01 2.700000000000e+00 9.000000000000e-01 6.000000000000e+00 1.500000000000e-01 1.000000000000e+00 3.150000000000e-01 2.100000000000e+00 2.700000000000e-01 1.800000000000e+00 - 2 HQP_YQ 4.000000000000e-01 3.003289000000e+04 7.000000000000e+03 1.324680000000e+01 0.000000000000e+00 -1.029661759994e-01 -7.741817744315e-01 9.269300566952e-03 6.969398922520e-02 -2.771090687927e-01 -2.083526833028e+00 1.228395237967e+00 9.236054420804e+00 1.596000000000e+00 1.200000000000e+01 2.128000000000e+00 1.600000000000e+01 2.008255959782e-01 1.509966887054e+00 2.926000000000e-01 2.200000000000e+00 4.389000000000e-01 3.300000000000e+00 4.788000000000e-01 3.600000000000e+00 3.591000000000e-01 2.700000000000e+00 7.049000000000e-01 5.300000000000e+00 7.448000000000e-01 5.600000000000e+00 3.458000000000e-01 2.600000000000e+00 2.394000000000e-01 1.800000000000e+00 - 3 HQP_YQ 8.500000000000e-01 3.003289000000e+04 7.000000000000e+03 1.120000000000e+01 0.000000000000e+00 -3.370376628693e-01 -3.009264847047e+00 3.548084538654e-02 3.167932623798e-01 -1.145928727219e+00 -1.023150649303e+01 -2.996966392067e-01 -2.675862850060e+00 1.232000000000e+00 1.100000000000e+01 1.456000000000e+00 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 1.120000000000e-01 1.000000000000e+00 3.584000000000e-01 3.200000000000e+00 3.248000000000e-01 2.900000000000e+00 2.912000000000e-01 2.600000000000e+00 4.928000000000e-01 4.400000000000e+00 7.392000000000e-01 6.600000000000e+00 1.792000000000e-01 1.600000000000e+00 2.016000000000e-01 1.800000000000e+00 - 4 HQP_YQ 2.050000000000e+00 3.003289000000e+04 7.000000000000e+03 3.323100000000e+00 0.000000000000e+00 6.019038625013e-02 1.823951098489e+00 4.124296273439e-01 1.249786749527e+01 1.015739482405e-01 3.077998431530e+00 -1.628782009325e-03 -4.935703058560e-02 5.610000000000e-01 1.700000000000e+01 4.950000000000e-01 1.500000000000e+01 6.208912948335e-02 1.881488772223e+00 1.056000000000e-01 3.200000000000e+00 1.056000000000e-01 3.200000000000e+00 1.320000000000e-01 4.000000000000e+00 7.920000000000e-02 2.400000000000e+00 1.353000000000e-01 4.100000000000e+00 2.046000000000e-01 6.200000000000e+00 1.419000000000e-01 4.300000000000e+00 5.940000000000e-02 1.800000000000e+00 + 1 HQP_YQ 1.000000000000e-01 3.003289000000e+04 7.000000000000e+03 1.500000000000e+01 1.000000000000e-10 1.937812649495e+00 1.291875099663e+01 -6.146875413709e-03 -4.097916942473e-02 -2.171870311984e-01 -1.447913541323e+00 1.319639566096e-02 8.797597107308e-02 1.650000000000e+00 1.100000000000e+01 1.650000000000e+00 1.100000000000e+01 0.000000000000e+00 0.000000000000e+00 3.450000000000e-01 2.300000000000e+00 5.100000000000e-01 3.400000000000e+00 3.750000000000e-01 2.500000000000e+00 4.050000000000e-01 2.700000000000e+00 9.000000000000e-01 6.000000000000e+00 1.500000000000e-01 1.000000000000e+00 3.150000000000e-01 2.100000000000e+00 2.700000000000e-01 1.800000000000e+00 + 2 HQP_YQ 4.000000000000e-01 3.003289000000e+04 7.000000000000e+03 1.324680000000e+01 1.000000000000e-10 -1.029661759994e-01 -7.741817744315e-01 9.269300566952e-03 6.969398922520e-02 -2.771090687927e-01 -2.083526833028e+00 1.228395237967e+00 9.236054420804e+00 1.596000000000e+00 1.200000000000e+01 2.128000000000e+00 1.600000000000e+01 2.008255959782e-01 1.509966887054e+00 2.926000000000e-01 2.200000000000e+00 4.389000000000e-01 3.300000000000e+00 4.788000000000e-01 3.600000000000e+00 3.591000000000e-01 2.700000000000e+00 7.049000000000e-01 5.300000000000e+00 7.448000000000e-01 5.600000000000e+00 3.458000000000e-01 2.600000000000e+00 2.394000000000e-01 1.800000000000e+00 + 3 HQP_YQ 8.500000000000e-01 3.003289000000e+04 7.000000000000e+03 1.120000000000e+01 1.000000000000e-10 -3.370376628693e-01 -3.009264847047e+00 3.548084538654e-02 3.167932623798e-01 -1.145928727219e+00 -1.023150649303e+01 -2.996966392067e-01 -2.675862850060e+00 1.232000000000e+00 1.100000000000e+01 1.456000000000e+00 1.300000000000e+01 0.000000000000e+00 0.000000000000e+00 1.120000000000e-01 1.000000000000e+00 3.584000000000e-01 3.200000000000e+00 3.248000000000e-01 2.900000000000e+00 2.912000000000e-01 2.600000000000e+00 4.928000000000e-01 4.400000000000e+00 7.392000000000e-01 6.600000000000e+00 1.792000000000e-01 1.600000000000e+00 2.016000000000e-01 1.800000000000e+00 + 4 HQP_YQ 2.050000000000e+00 3.003289000000e+04 7.000000000000e+03 3.323100000000e+00 1.000000000000e-10 6.019038625013e-02 1.823951098489e+00 4.124296273439e-01 1.249786749527e+01 1.015739482405e-01 3.077998431530e+00 -1.628782009325e-03 -4.935703058560e-02 5.610000000000e-01 1.700000000000e+01 4.950000000000e-01 1.500000000000e+01 6.208912948335e-02 1.881488772223e+00 1.056000000000e-01 3.200000000000e+00 1.056000000000e-01 3.200000000000e+00 1.320000000000e-01 4.000000000000e+00 7.920000000000e-02 2.400000000000e+00 1.353000000000e-01 4.100000000000e+00 2.046000000000e-01 6.200000000000e+00 1.419000000000e-01 4.300000000000e+00 5.940000000000e-02 1.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat index 85b22cf500..3a41e46362 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT.dat @@ -1,6 +1,6 @@ ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT 19 5 - 1 HQP_PTQ 2.250000000000e+01 3.003289000000e+04 7.000000000000e+03 4.400000000000e-01 0.000000000000e+00 3.025018877284e-02 6.875042902919e+00 1.181996423241e-02 2.686355507365e+00 -9.417696360701e-06 -2.140385536523e-03 -1.809615372734e-03 -4.112762210760e-01 1.446833874983e-03 3.288258806781e-01 2.420000000000e-02 5.500000000000e+00 2.684000000000e-02 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.400000000000e-03 1.000000000000e+00 1.320000000000e-02 3.000000000000e+00 5.720000000000e-03 1.300000000000e+00 8.800000000000e-03 2.000000000000e+00 1.144000000000e-02 2.600000000000e+00 1.320000000000e-02 3.000000000000e+00 2.992000000000e-02 6.800000000000e+00 1.232000000000e-02 2.800000000000e+00 5.720000000000e-03 1.300000000000e+00 7.920000000000e-03 1.800000000000e+00 - 2 HQP_PTQ 6.000000000000e+01 3.003289000000e+04 7.000000000000e+03 3.703700000000e-01 0.000000000000e+00 1.769536375325e-02 4.782530744121e+00 -1.478595960643e-02 -3.996205299036e+00 -1.478259928584e-05 -3.995297104282e-03 -4.143073708295e-03 -1.119749650890e+00 5.430167757956e-03 1.467612907556e+00 1.961000000000e-02 5.300000000000e+00 2.775000000000e-02 7.500000000000e+00 7.976482620805e-03 2.155806113731e+00 7.085765660816e-03 1.915071800221e+00 8.880000000000e-03 2.400000000000e+00 1.147000000000e-02 3.100000000000e+00 5.550000000000e-03 1.500000000000e+00 7.030000000000e-03 1.900000000000e+00 9.620000000000e-03 2.600000000000e+00 6.660000000000e-03 1.800000000000e+00 3.034000000000e-02 8.200000000000e+00 0.000000000000e+00 0.000000000000e+00 5.180000000000e-03 1.400000000000e+00 6.660000000000e-03 1.800000000000e+00 - 3 HQP_PTQ 9.250000000000e+01 3.003289000000e+04 7.000000000000e+03 2.518750000000e-01 0.000000000000e+00 1.300517659294e-02 5.202070637174e+00 -5.522446423521e-03 -2.208978569408e+00 -7.858253370979e-06 -3.143301348392e-03 1.202477687540e-03 4.809910750159e-01 -1.301861947154e-02 -5.207447788615e+00 1.200000000000e-02 4.800000000000e+00 1.300000000000e-02 5.200000000000e+00 7.135956488096e-03 2.854382595238e+00 0.000000000000e+00 0.000000000000e+00 5.750000000000e-03 2.300000000000e+00 8.250000000000e-03 3.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.500000000000e-03 2.600000000000e+00 5.750000000000e-03 2.300000000000e+00 1.975000000000e-02 7.900000000000e+00 9.250000000000e-03 3.700000000000e+00 0.000000000000e+00 0.000000000000e+00 4.500000000000e-03 1.800000000000e+00 - 4 HQP_PTQ 1.300000000000e+02 3.003289000000e+04 7.000000000000e+03 1.330000000000e-01 0.000000000000e+00 9.018175336500e-03 6.780582959775e+00 -2.665221925567e-03 -2.003926259825e+00 8.811206461419e-06 6.624967264225e-03 1.247443375611e-02 9.379273500835e+00 3.267893895871e-03 2.457063079602e+00 7.980000000000e-03 6.000000000000e+00 3.990000000000e-03 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.128000000000e-03 1.600000000000e+00 3.990000000000e-03 3.000000000000e+00 4.788000000000e-03 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.458000000000e-03 2.600000000000e+00 3.724000000000e-03 2.800000000000e+00 1.596000000000e-02 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.394000000000e-03 1.800000000000e+00 - 5 HQP_PTQ 3.250000000000e+02 3.003289000000e+04 7.000000000000e+03 7.952100000000e-03 0.000000000000e+00 5.068090274025e-04 6.497551633366e+00 -1.132301131761e-04 -1.451668117643e+00 1.123120350128e-03 1.439897884780e+01 -1.591576926764e-04 -2.040483239441e+00 -3.312188405656e-05 -4.246395391866e-01 7.332000000000e-04 9.400000000000e+00 4.056000000000e-04 5.200000000000e+00 5.788840298367e-04 7.421590126112e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.836000000000e-04 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 9.360000000000e-05 1.200000000000e+00 2.028000000000e-04 2.600000000000e+00 1.872000000000e-04 2.400000000000e+00 7.376156926205e-04 9.456611443852e+00 4.841029642545e-04 6.206448259673e+00 0.000000000000e+00 0.000000000000e+00 1.404000000000e-04 1.800000000000e+00 + 1 HQP_PTQ 2.250000000000e+01 3.003289000000e+04 7.000000000000e+03 4.400000000000e-01 1.000000000000e-10 3.025018877284e-02 6.875042902919e+00 1.181996423241e-02 2.686355507365e+00 -9.417696360701e-06 -2.140385536523e-03 -1.809615372734e-03 -4.112762210760e-01 1.446833874983e-03 3.288258806781e-01 2.420000000000e-02 5.500000000000e+00 2.684000000000e-02 6.100000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.400000000000e-03 1.000000000000e+00 1.320000000000e-02 3.000000000000e+00 5.720000000000e-03 1.300000000000e+00 8.800000000000e-03 2.000000000000e+00 1.144000000000e-02 2.600000000000e+00 1.320000000000e-02 3.000000000000e+00 2.992000000000e-02 6.800000000000e+00 1.232000000000e-02 2.800000000000e+00 5.720000000000e-03 1.300000000000e+00 7.920000000000e-03 1.800000000000e+00 + 2 HQP_PTQ 6.000000000000e+01 3.003289000000e+04 7.000000000000e+03 3.703700000000e-01 1.000000000000e-10 1.769536375325e-02 4.782530744121e+00 -1.478595960643e-02 -3.996205299036e+00 -1.478259928584e-05 -3.995297104282e-03 -4.143073708295e-03 -1.119749650890e+00 5.430167757956e-03 1.467612907556e+00 1.961000000000e-02 5.300000000000e+00 2.775000000000e-02 7.500000000000e+00 7.976482620805e-03 2.155806113731e+00 7.085765660816e-03 1.915071800221e+00 8.880000000000e-03 2.400000000000e+00 1.147000000000e-02 3.100000000000e+00 5.550000000000e-03 1.500000000000e+00 7.030000000000e-03 1.900000000000e+00 9.620000000000e-03 2.600000000000e+00 6.660000000000e-03 1.800000000000e+00 3.034000000000e-02 8.200000000000e+00 0.000000000000e+00 0.000000000000e+00 5.180000000000e-03 1.400000000000e+00 6.660000000000e-03 1.800000000000e+00 + 3 HQP_PTQ 9.250000000000e+01 3.003289000000e+04 7.000000000000e+03 2.518750000000e-01 1.000000000000e-10 1.300517659294e-02 5.202070637174e+00 -5.522446423521e-03 -2.208978569408e+00 -7.858253370979e-06 -3.143301348392e-03 1.202477687540e-03 4.809910750159e-01 -1.301861947154e-02 -5.207447788615e+00 1.200000000000e-02 4.800000000000e+00 1.300000000000e-02 5.200000000000e+00 7.135956488096e-03 2.854382595238e+00 0.000000000000e+00 0.000000000000e+00 5.750000000000e-03 2.300000000000e+00 8.250000000000e-03 3.300000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.500000000000e-03 2.600000000000e+00 5.750000000000e-03 2.300000000000e+00 1.975000000000e-02 7.900000000000e+00 9.250000000000e-03 3.700000000000e+00 0.000000000000e+00 0.000000000000e+00 4.500000000000e-03 1.800000000000e+00 + 4 HQP_PTQ 1.300000000000e+02 3.003289000000e+04 7.000000000000e+03 1.330000000000e-01 1.000000000000e-10 9.018175336500e-03 6.780582959775e+00 -2.665221925567e-03 -2.003926259825e+00 8.811206461419e-06 6.624967264225e-03 1.247443375611e-02 9.379273500835e+00 3.267893895871e-03 2.457063079602e+00 7.980000000000e-03 6.000000000000e+00 3.990000000000e-03 3.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.128000000000e-03 1.600000000000e+00 3.990000000000e-03 3.000000000000e+00 4.788000000000e-03 3.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.458000000000e-03 2.600000000000e+00 3.724000000000e-03 2.800000000000e+00 1.596000000000e-02 1.200000000000e+01 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.394000000000e-03 1.800000000000e+00 + 5 HQP_PTQ 3.250000000000e+02 3.003289000000e+04 7.000000000000e+03 7.952100000000e-03 1.000000000000e-10 5.068090274025e-04 6.497551633366e+00 -1.132301131761e-04 -1.451668117643e+00 1.123120350128e-03 1.439897884780e+01 -1.591576926764e-04 -2.040483239441e+00 -3.312188405656e-05 -4.246395391866e-01 7.332000000000e-04 9.400000000000e+00 4.056000000000e-04 5.200000000000e+00 5.788840298367e-04 7.421590126112e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.836000000000e-04 6.200000000000e+00 0.000000000000e+00 0.000000000000e+00 9.360000000000e-05 1.200000000000e+00 2.028000000000e-04 2.600000000000e+00 1.872000000000e-04 2.400000000000e+00 7.376156926205e-04 9.456611443852e+00 4.841029642545e-04 6.206448259673e+00 0.000000000000e+00 0.000000000000e+00 1.404000000000e-04 1.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat index e2eb28f191..4daf92960b 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP.dat @@ -1,5 +1,5 @@ ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP 17 4 - 1 HQP_YQ 1.000000000000e-01 3.003289000000e+04 7.000000000000e+03 2.807000000000e+01 0.000000000000e+00 2.505513738898e+00 8.948263353206e+00 -1.894163645164e-02 -6.764870161298e-02 2.687796304935e-01 9.599272517623e-01 1.412900687063e-02 5.046073882367e-02 1.652000000000e+00 5.900000000000e+00 1.484000000000e+00 5.300000000000e+00 3.887364145536e-01 1.388344337691e+00 4.096046874732e-01 1.462873883833e+00 8.960000000000e-01 3.200000000000e+00 9.240000000000e-01 3.300000000000e+00 3.640000000000e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 7.280000000000e-01 2.600000000000e+00 1.008000000000e+00 3.600000000000e+00 1.596000000000e+00 5.700000000000e+00 9.800000000000e-01 3.500000000000e+00 5.040000000000e-01 1.800000000000e+00 - 2 HQP_YQ 4.000000000000e-01 3.003289000000e+04 7.000000000000e+03 2.730000000000e+01 0.000000000000e+00 -3.155103425035e-01 -1.155715540306e+00 -5.824441779552e-02 -2.133495157345e-01 9.277529588622e-01 3.398362486675e+00 1.412229184266e+00 5.173000674965e+00 1.310400000000e+00 4.800000000000e+00 1.774500000000e+00 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.641000000000e-01 1.700000000000e+00 9.282000000000e-01 3.400000000000e+00 3.276000000000e-01 1.200000000000e+00 3.549000000000e-01 1.300000000000e+00 7.371000000000e-01 2.700000000000e+00 9.828000000000e-01 3.600000000000e+00 2.184000000000e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.914000000000e-01 1.800000000000e+00 - 3 HQP_YQ 8.500000000000e-01 3.003289000000e+04 7.000000000000e+03 2.238730000000e+01 0.000000000000e+00 -3.454029492221e-01 -1.562909272498e+00 -9.087959506451e-02 -4.112198871697e-01 1.100151046446e+00 4.978059033692e+00 -1.187186433073e+00 -5.371884312549e+00 1.105000000000e+00 5.000000000000e+00 1.480700000000e+00 6.700000000000e+00 3.084118147867e-01 1.395528573695e+00 2.261878588696e-01 1.023474474523e+00 0.000000000000e+00 0.000000000000e+00 7.514000000000e-01 3.400000000000e+00 2.652000000000e-01 1.200000000000e+00 4.420000000000e-01 2.000000000000e+00 5.746000000000e-01 2.600000000000e+00 6.188000000000e-01 2.800000000000e+00 8.840000000000e-01 4.000000000000e+00 5.746000000000e-01 2.600000000000e+00 3.978000000000e-01 1.800000000000e+00 - 4 HQP_YQ 2.050000000000e+00 3.003289000000e+04 7.000000000000e+03 1.070000000000e+01 0.000000000000e+00 3.231901609438e-03 3.020468793867e-02 -7.142129554485e-01 -6.674887434098e+00 -2.227750664426e-01 -2.082009966753e+00 3.552011898874e-02 3.319637288667e-01 4.708000000000e-01 4.400000000000e+00 5.029000000000e-01 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.317000000000e-01 3.100000000000e+00 3.424000000000e-01 3.200000000000e+00 1.070000000000e-01 1.000000000000e+00 1.498000000000e-01 1.400000000000e+00 2.675000000000e-01 2.500000000000e+00 2.996000000000e-01 2.800000000000e+00 9.309000000000e-01 8.700000000000e+00 5.029000000000e-01 4.700000000000e+00 1.926000000000e-01 1.800000000000e+00 + 1 HQP_YQ 1.000000000000e-01 3.003289000000e+04 7.000000000000e+03 2.807000000000e+01 1.000000000000e-10 2.505513738898e+00 8.948263353206e+00 -1.894163645164e-02 -6.764870161298e-02 2.687796304935e-01 9.599272517623e-01 1.412900687063e-02 5.046073882367e-02 1.652000000000e+00 5.900000000000e+00 1.484000000000e+00 5.300000000000e+00 3.887364145536e-01 1.388344337691e+00 4.096046874732e-01 1.462873883833e+00 8.960000000000e-01 3.200000000000e+00 9.240000000000e-01 3.300000000000e+00 3.640000000000e-01 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 7.280000000000e-01 2.600000000000e+00 1.008000000000e+00 3.600000000000e+00 1.596000000000e+00 5.700000000000e+00 9.800000000000e-01 3.500000000000e+00 5.040000000000e-01 1.800000000000e+00 + 2 HQP_YQ 4.000000000000e-01 3.003289000000e+04 7.000000000000e+03 2.730000000000e+01 1.000000000000e-10 -3.155103425035e-01 -1.155715540306e+00 -5.824441779552e-02 -2.133495157345e-01 9.277529588622e-01 3.398362486675e+00 1.412229184266e+00 5.173000674965e+00 1.310400000000e+00 4.800000000000e+00 1.774500000000e+00 6.500000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.641000000000e-01 1.700000000000e+00 9.282000000000e-01 3.400000000000e+00 3.276000000000e-01 1.200000000000e+00 3.549000000000e-01 1.300000000000e+00 7.371000000000e-01 2.700000000000e+00 9.828000000000e-01 3.600000000000e+00 2.184000000000e-01 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.914000000000e-01 1.800000000000e+00 + 3 HQP_YQ 8.500000000000e-01 3.003289000000e+04 7.000000000000e+03 2.238730000000e+01 1.000000000000e-10 -3.454029492221e-01 -1.562909272498e+00 -9.087959506451e-02 -4.112198871697e-01 1.100151046446e+00 4.978059033692e+00 -1.187186433073e+00 -5.371884312549e+00 1.105000000000e+00 5.000000000000e+00 1.480700000000e+00 6.700000000000e+00 3.084118147867e-01 1.395528573695e+00 2.261878588696e-01 1.023474474523e+00 0.000000000000e+00 0.000000000000e+00 7.514000000000e-01 3.400000000000e+00 2.652000000000e-01 1.200000000000e+00 4.420000000000e-01 2.000000000000e+00 5.746000000000e-01 2.600000000000e+00 6.188000000000e-01 2.800000000000e+00 8.840000000000e-01 4.000000000000e+00 5.746000000000e-01 2.600000000000e+00 3.978000000000e-01 1.800000000000e+00 + 4 HQP_YQ 2.050000000000e+00 3.003289000000e+04 7.000000000000e+03 1.070000000000e+01 1.000000000000e-10 3.231901609438e-03 3.020468793867e-02 -7.142129554485e-01 -6.674887434098e+00 -2.227750664426e-01 -2.082009966753e+00 3.552011898874e-02 3.319637288667e-01 4.708000000000e-01 4.400000000000e+00 5.029000000000e-01 4.700000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 3.317000000000e-01 3.100000000000e+00 3.424000000000e-01 3.200000000000e+00 1.070000000000e-01 1.000000000000e+00 1.498000000000e-01 1.400000000000e+00 2.675000000000e-01 2.500000000000e+00 2.996000000000e-01 2.800000000000e+00 9.309000000000e-01 8.700000000000e+00 5.029000000000e-01 4.700000000000e+00 1.926000000000e-01 1.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.dat b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.dat index 273c3a6861..7a98591031 100644 --- a/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.dat +++ b/nnpdfcpp/data/commondata/DATA_ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM.dat @@ -1,5 +1,5 @@ ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM 11 4 - 1 HQP_YQ 1.000000000000e-01 3.003289000000e+04 7.000000000000e+03 5.926550000000e-01 0.000000000000e+00 5.288383186872e-02 8.963361333681e+00 -7.317138066342e-05 -1.240192892600e-02 -4.759443252190e-03 -8.066852969814e-01 -5.026656534574e-04 -8.519756838261e-02 3.481000000000e-02 5.900000000000e+00 0.000000000000e+00 0.000000000000e+00 9.154511183018e-03 1.551612064918e+00 7.080000000000e-03 1.200000000000e+00 1.003000000000e-02 1.700000000000e+00 5.556033477221e-02 9.417005893595e+00 0.000000000000e+00 0.000000000000e+00 - 2 HQP_YQ 4.000000000000e-01 3.003289000000e+04 7.000000000000e+03 5.757000000000e-01 0.000000000000e+00 -5.926907184377e-03 -1.039808277961e+00 -1.510710964649e-04 -2.650370113419e-02 -1.777819638076e-02 -3.118981821186e+00 -3.129816419854e-02 -5.490905999744e+00 2.736000000000e-02 4.800000000000e+00 0.000000000000e+00 0.000000000000e+00 1.078490611920e-02 1.892088792842e+00 0.000000000000e+00 0.000000000000e+00 1.026000000000e-02 1.800000000000e+00 1.654964350069e-02 2.903446228192e+00 0.000000000000e+00 0.000000000000e+00 - 3 HQP_YQ 8.500000000000e-01 3.003289000000e+04 7.000000000000e+03 4.597700000000e-01 0.000000000000e+00 -6.884392258431e-03 -1.496607012702e+00 -1.798058284201e-04 -3.908822356958e-02 -2.500740302292e-02 -5.436391961505e+00 2.274758464421e-02 4.945127096566e+00 2.254000000000e-02 4.900000000000e+00 5.060000000000e-03 1.100000000000e+00 6.677926324841e-03 1.451723114096e+00 7.360000000000e-03 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 - 4 HQP_YQ 2.050000000000e+00 3.003289000000e+04 7.000000000000e+03 2.225540000000e-01 0.000000000000e+00 -2.440576998242e-03 -1.094429147194e+00 -7.114484704528e-04 -3.190351885438e-01 1.058474897942e-02 4.746524206016e+00 9.486005651952e-04 4.253814193701e-01 7.136000000000e-03 3.200000000000e+00 2.230000000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.230000000000e-03 1.000000000000e+00 5.129000000000e-03 2.300000000000e+00 1.116782575079e-02 5.007993610220e+00 3.345000000000e-03 1.500000000000e+00 + 1 HQP_YQ 1.000000000000e-01 3.003289000000e+04 7.000000000000e+03 5.926550000000e-01 1.000000000000e-10 5.288383186872e-02 8.963361333681e+00 -7.317138066342e-05 -1.240192892600e-02 -4.759443252190e-03 -8.066852969814e-01 -5.026656534574e-04 -8.519756838261e-02 3.481000000000e-02 5.900000000000e+00 0.000000000000e+00 0.000000000000e+00 9.154511183018e-03 1.551612064918e+00 7.080000000000e-03 1.200000000000e+00 1.003000000000e-02 1.700000000000e+00 5.556033477221e-02 9.417005893595e+00 0.000000000000e+00 0.000000000000e+00 + 2 HQP_YQ 4.000000000000e-01 3.003289000000e+04 7.000000000000e+03 5.757000000000e-01 1.000000000000e-10 -5.926907184377e-03 -1.039808277961e+00 -1.510710964649e-04 -2.650370113419e-02 -1.777819638076e-02 -3.118981821186e+00 -3.129816419854e-02 -5.490905999744e+00 2.736000000000e-02 4.800000000000e+00 0.000000000000e+00 0.000000000000e+00 1.078490611920e-02 1.892088792842e+00 0.000000000000e+00 0.000000000000e+00 1.026000000000e-02 1.800000000000e+00 1.654964350069e-02 2.903446228192e+00 0.000000000000e+00 0.000000000000e+00 + 3 HQP_YQ 8.500000000000e-01 3.003289000000e+04 7.000000000000e+03 4.597700000000e-01 1.000000000000e-10 -6.884392258431e-03 -1.496607012702e+00 -1.798058284201e-04 -3.908822356958e-02 -2.500740302292e-02 -5.436391961505e+00 2.274758464421e-02 4.945127096566e+00 2.254000000000e-02 4.900000000000e+00 5.060000000000e-03 1.100000000000e+00 6.677926324841e-03 1.451723114096e+00 7.360000000000e-03 1.600000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 + 4 HQP_YQ 2.050000000000e+00 3.003289000000e+04 7.000000000000e+03 2.225540000000e-01 1.000000000000e-10 -2.440576998242e-03 -1.094429147194e+00 -7.114484704528e-04 -3.190351885438e-01 1.058474897942e-02 4.746524206016e+00 9.486005651952e-04 4.253814193701e-01 7.136000000000e-03 3.200000000000e+00 2.230000000000e-03 1.000000000000e+00 0.000000000000e+00 0.000000000000e+00 2.230000000000e-03 1.000000000000e+00 5.129000000000e-03 2.300000000000e+00 1.116782575079e-02 5.007993610220e+00 3.345000000000e-03 1.500000000000e+00 From 5c1a820b8ba6aecb0d8414a5bda6707956065e62 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 10 Apr 2019 17:46:35 +0100 Subject: [PATCH 268/429] extremely primitive version of grouping datasets by experiment label and being able to calculate chi2 with thcovmat --- validphys2/src/validphys/config.py | 30 ++++++++++++++++++++++ validphys2/src/validphys/results.py | 39 +++++++++++++++++++++++------ 2 files changed, 61 insertions(+), 8 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 9a21bf9de4..b1b438a32b 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -29,6 +29,8 @@ from validphys.paramfits.config import ParamfitsConfig +from validphys.plotoptions import get_info + log = logging.getLogger(__name__) @@ -744,6 +746,34 @@ def parse_fitdeclaration(self, label:str): """ return label + def produce_experiments_from_plotting(self, fit): + """Used to produce experiments from the fit, where each experiment is a group of datasets + according to the plotting info + """ + #TODO: consider this an implimentation detail + from reportengine.namespaces import NSList + + with self.set_context(ns=self._curr_ns.new_child({'fit':fit})): + _, experiments = self.parse_from_('fit', 'experiments', write=False) + + flat = (ds for exp in experiments for ds in exp.datasets) + metaexps = [get_info(ds).experiment for ds in flat] + res = {} + for exp in experiments: + for dsinput, ds in zip(exp.dsinputs, exp.datasets): + metaexp = get_info(ds).experiment + if metaexp in res: + res[metaexp].append(ds) + else: + res[metaexp] = [ds] + exps = [] + for exp in res: + exps.append(ExperimentSpec(exp, res[exp])) + + experiments = NSList(exps, nskey='experiment') + return {'experiments': experiments} + + class Config(report.Config, CoreConfig, ParamfitsConfig): """The effective configuration parser class.""" pass diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 49429a6602..eab04bfb35 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -65,7 +65,13 @@ def __init__(self, dataobj, thcovmat=False): if isinstance(thcovmat, ThCovMatSpec): self._sqrtcovmat = dataobj.GetSqrtFitCovMat(str(thcovmat), []) elif isinstance(thcovmat, pd.DataFrame): - thcovslice = get_df_block(thcovmat, dataobj.GetSetName(), level=1) + if isinstance(dataobj, Experiment): + level = 0 + name = dataobj.GetExpName() + else: + level = 1 + name = dataobj.GetSetName() + thcovslice = get_df_block(thcovmat, name, level=level) self._sqrtcovmat = np.linalg.cholesky(self._covmat + thcovslice) else: self._sqrtcovmat = dataobj.get_sqrtcovmat() @@ -364,7 +370,7 @@ def closure_pseudodata_replicas(experiments, pdf, nclosure:int, return df -def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, fitthcovmat=False): +def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, fixup_fitthcovmat=False): """Tuple of data and theory results for a single pdf. The theory is specified as part of the dataset. An experiment is also allowed. @@ -372,9 +378,6 @@ def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, fitthc data = dataset.load() - # only need to load thcov if specified and if dataset - if fitthcovmat and isinstance(dataset, DataSetSpec): - fitthcovmat = fitthcovmat.load() if t0set: #Copy data to avoid chaos @@ -382,12 +385,12 @@ def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, fitthc log.debug("Setting T0 predictions for %s" % dataset) data.SetT0(t0set.load_t0()) - return (DataResult(data, thcovmat=fitthcovmat), + return (DataResult(data, thcovmat=fixup_fitthcovmat), ThPredictionsResult.from_convolution(pdf, dataset, loaded_data=data)) -def experiment_results(experiment, pdf:PDF, t0set:(PDF, type(None))=None, fitthcovmat=False): +def experiment_results(experiment, pdf:PDF, t0set:(PDF, type(None))=None, fixup_fitthcovmat=False): """Like `results` but for a whole experiment""" - return results(experiment, pdf, t0set, fitthcovmat=fitthcovmat) + return results(experiment, pdf, t0set, fixup_fitthcovmat=fixup_fitthcovmat) #It's better to duplicate a few lines than to complicate the logic of #``results`` to support this. @@ -916,3 +919,23 @@ def experiments_central_values(experiment_result_table): dataspecs_commondata = collect('commondata', ('dataspecs',)) dataspecs_pdf = collect('pdf', ('dataspecs',)) dataspecs_fit = collect('fit', ('dataspecs',)) + +def fixup_fitthcovmat(fitthcovmat, experiments=None): + """If both `fitthcovmat` and `experiments` exist then change the level 1 keys of `fitthcovmat` + to match `experiments` + """ + if fitthcovmat: + loaded_covmat = fitthcovmat.load() + if experiments: + exp_names = np.array(loaded_covmat.index.get_level_values(0), copy=True) + ds_names = loaded_covmat.index.get_level_values(1) + ds_index = loaded_covmat.index.get_level_values(2) + for exp in experiments: + for ds in exp.datasets: + choose = np.where(ds_names == ds.name) + exp_names[choose] = exp.name + new_index = pd.MultiIndex.from_arrays([exp_names, ds_names, ds_index]) + loaded_covmat = pd.DataFrame(loaded_covmat.values, index=new_index, columns=new_index) + return loaded_covmat + else: + return fitthcovmat From 865d33bed9501f10a3024b6615a8db03be8d0c70 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 12 Apr 2019 10:47:37 +0100 Subject: [PATCH 269/429] Added necessary providers for experiments by plotting plots to exist in vp-comparefits. Changed templates accordingly and updated documentation. --- .../comparefittemplates/comparecard.yaml | 10 +- .../validphys/comparefittemplates/report.md | 7 +- validphys2/src/validphys/config.py | 14 +- validphys2/src/validphys/dataplots.py | 24 ++- validphys2/src/validphys/fitdata.py | 2 +- validphys2/src/validphys/results.py | 166 ++++++++++++------ 6 files changed, 151 insertions(+), 72 deletions(-) diff --git a/validphys2/src/validphys/comparefittemplates/comparecard.yaml b/validphys2/src/validphys/comparefittemplates/comparecard.yaml index 3678b0acab..adf2b71be1 100644 --- a/validphys2/src/validphys/comparefittemplates/comparecard.yaml +++ b/validphys2/src/validphys/comparefittemplates/comparecard.yaml @@ -74,14 +74,14 @@ pdf_report: template: report.md -experiments: - from_: fit positivity: from_: fit dataspecs: - - theoryid: + - experiments: + from_: fit + theoryid: from_: current pdf: from_: current @@ -91,7 +91,9 @@ dataspecs: from_: current - - theoryid: + - experiments: + from_: fit + theoryid: from_: reference pdf: from_: reference diff --git a/validphys2/src/validphys/comparefittemplates/report.md b/validphys2/src/validphys/comparefittemplates/report.md index f1c3cc72ed..08d7bb89ba 100644 --- a/validphys2/src/validphys/comparefittemplates/report.md +++ b/validphys2/src/validphys/comparefittemplates/report.md @@ -33,7 +33,7 @@ Training validation $\chi^2$ by experiment ---------------------- -{@plot_fits_experiments_chi2@} +{@plot_fits_exp_by_plotting_chi2@} $\chi^2$ by dataset comparisons ------------------------------- @@ -44,10 +44,7 @@ $\chi^2$ by dataset comparisons $\phi$ by experiment -------------------- -{@with dataspecs@} -### {@fit@} -{@plot_phi@} -{@endwith@} +{@plot_phi_fits_exp_by_plotting@} Experiment plots --------------- diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index b1b438a32b..f6d7dbeaee 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -748,7 +748,7 @@ def parse_fitdeclaration(self, label:str): def produce_experiments_from_plotting(self, fit): """Used to produce experiments from the fit, where each experiment is a group of datasets - according to the plotting info + according to the experiment key in the plotting info file """ #TODO: consider this an implimentation detail from reportengine.namespaces import NSList @@ -773,6 +773,18 @@ def produce_experiments_from_plotting(self, fit): experiments = NSList(exps, nskey='experiment') return {'experiments': experiments} + def produce_experiments_from_plotting_withcontext(self, fit): + """produces experiments similarly to `experiments_from_plotting` but also sets fitcontext + (pdf and theoryid) + """ + _, pdf = self.parse_from_('fit', 'pdf', write=False) + _, theory = self.parse_from_('fit', 'theory', write=False) + thid = theory['theoryid'] + with self.set_context(ns=self._curr_ns.new_child({'theoryid':thid})): + experiments = self.produce_experiments_from_plotting(fit)['experiments'] + return {'pdf': pdf, 'theoryid':thid, 'experiments': experiments} + + class Config(report.Config, CoreConfig, ParamfitsConfig): """The effective configuration parser class.""" diff --git a/validphys2/src/validphys/dataplots.py b/validphys2/src/validphys/dataplots.py index c930772fb6..632ee51ee7 100644 --- a/validphys2/src/validphys/dataplots.py +++ b/validphys2/src/validphys/dataplots.py @@ -54,21 +54,19 @@ def plot_phi(experiments, experiments_phi): See `phi_data` for information on how phi is calculated """ - phi = experiments_phi + phi = [exp_phi for (exp_phi, npoints) in experiments_phi] xticks = [experiment.name for experiment in experiments] fig, ax = plotutils.barplot(phi, collabels=xticks, datalabels=[r'$\phi$']) ax.set_title(r"$\phi$ for each experiment") return fig @figure -def plot_phi_pdfs(experiments, pdfs, experiments_pdfs_phi): - """Like `plot_phi` but plots a set of bars for each PDF input""" - phi = experiments_pdfs_phi - phi_labels = [pdf.name for pdf in pdfs] - xticks = [experiment.name for experiment in experiments] - fig, ax = plotutils.barplot(phi, collabels=xticks, datalabels=phi_labels) +def plot_phi_fits_exp_by_plotting(fits_phi_table): + """Plots a set of bars for each fit, each bar represents the value of phi for the corresponding + experiment, where the experiment is a group of datasets according to the `experiment` key in + the plotting info file""" + fig, ax = _plot_chis_df(fits_phi_table) ax.set_title(r"$\phi$ for each experiment") - ax.legend() return fig @figure @@ -533,6 +531,16 @@ def plot_fits_experiments_chi2(fits_experiments_chi2_table): ax.set_title(r"$\chi^2$ for experiments") return fig +@figure +def plot_fits_exp_by_plotting_chi2(fits_exp_by_plotting_chi2_table): + """Generate a plot equivalent to ``plot_experiments_chi2`` using all fits + and grouping datasets into experiments according to the `experiment` key defined in the + plotting file. + """ + fig, ax = _plot_chis_df(fits_exp_by_plotting_chi2_table) + ax.set_title(r"$\chi^2$ for experiments") + return fig + @figure def plot_dataspecs_experiments_chi2(dataspecs_experiments_chi2_table): """Same as plot_fits_experiments_chi2 but for arbitrary dataspecs""" diff --git a/validphys2/src/validphys/fitdata.py b/validphys2/src/validphys/fitdata.py index 98fd20e8c5..9f63b10420 100644 --- a/validphys2/src/validphys/fitdata.py +++ b/validphys2/src/validphys/fitdata.py @@ -146,7 +146,7 @@ def fit_summary(fit, replica_data, total_experiments_chi2data): etrain = [x.training for x in replica_data] evalid = [x.validation for x in replica_data] - phi = phi_data(total_experiments_chi2data) + phi, _ = phi_data(total_experiments_chi2data) phi_err = np.std(member_chi2)/(2.0*phi*np.sqrt(nrep)) VET = ValueErrorTuple diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index eab04bfb35..da29f28f76 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -59,22 +59,10 @@ def std_error(self): class DataResult(NNPDFDataResult): - def __init__(self, dataobj, thcovmat=False): + def __init__(self, dataobj, covmat, sqrtcovmat): super().__init__(dataobj) - self._covmat = dataobj.get_covmat() - if isinstance(thcovmat, ThCovMatSpec): - self._sqrtcovmat = dataobj.GetSqrtFitCovMat(str(thcovmat), []) - elif isinstance(thcovmat, pd.DataFrame): - if isinstance(dataobj, Experiment): - level = 0 - name = dataobj.GetExpName() - else: - level = 1 - name = dataobj.GetSetName() - thcovslice = get_df_block(thcovmat, name, level=level) - self._sqrtcovmat = np.linalg.cholesky(self._covmat + thcovslice) - else: - self._sqrtcovmat = dataobj.get_sqrtcovmat() + self._covmat = covmat + self._sqrtcovmat = sqrtcovmat @property @@ -369,13 +357,40 @@ def closure_pseudodata_replicas(experiments, pdf, nclosure:int, return df +#TODO: Add check here that dataset appears in fitthcovmat (if true) and that cuts match +def covariance_matrix(dataset:DataSetSpec, fitthcovmat): + """Returns a tuple of Covariance matrix and sqrt covariance matrix for the given dataset + which includes theory contribution from scale variations if `use_theorycovmat` is True and + an appropriate fit from which the covariance matrix will be loaded is given + """ + loaded_data = dataset.load() + if fitthcovmat: + loaded_thcov = fitthcovmat.load() + covmat = get_df_block(loaded_thcov, dataset.name, level=1) + loaded_data.get_covmat() + sqrtcovmat = np.linalg.cholesky(covmat) + else: + covmat = loaded_data.get_covmat() + sqrtcovmat = loaded_data.get_sqrtcovmat() + return covmat, sqrtcovmat + +def experiment_covariance_matrix(experiment: ExperimentSpec, fitthcovmat): + loaded_data = experiment.load() + if fitthcovmat: + loaded_thcov = fitthcovmat.load() + ds_names = loaded_thcov.index.get_level_values(1) + indices = np.in1d(ds_names, [ds.name for ds in experiment.datasets]).nonzero()[0] + covmat = loaded_thcov.iloc[indices, indices].values + loaded_data.get_covmat() + sqrtcovmat = np.linalg.cholesky(covmat) + else: + covmat = loaded_data.get_covmat() + sqrtcovmat = loaded_data.get_sqrtcovmat() + return covmat, sqrtcovmat -def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, fixup_fitthcovmat=False): +def results(dataset:(DataSetSpec), pdf:PDF, covariance_matrix, t0set:(PDF, type(None))=None): """Tuple of data and theory results for a single pdf. The theory is specified as part of the dataset. An experiment is also allowed. (as a result of the C++ code layout).""" - data = dataset.load() @@ -385,12 +400,13 @@ def results(dataset:(DataSetSpec), pdf:PDF, t0set:(PDF, type(None))=None, fixup_ log.debug("Setting T0 predictions for %s" % dataset) data.SetT0(t0set.load_t0()) - return (DataResult(data, thcovmat=fixup_fitthcovmat), + return (DataResult(data, *covariance_matrix), ThPredictionsResult.from_convolution(pdf, dataset, loaded_data=data)) -def experiment_results(experiment, pdf:PDF, t0set:(PDF, type(None))=None, fixup_fitthcovmat=False): +def experiment_results(experiment, pdf:PDF, experiment_covariance_matrix, + t0set:(PDF, type(None))=None): """Like `results` but for a whole experiment""" - return results(experiment, pdf, t0set, fixup_fitthcovmat=fixup_fitthcovmat) + return results(experiment, pdf, experiment_covariance_matrix, t0set) #It's better to duplicate a few lines than to complicate the logic of #``results`` to support this. @@ -455,11 +471,13 @@ def abs_chi2_data_experiment(experiment_results): def phi_data(abs_chi2_data): """Calculate phi using values returned by `abs_chi2_data`. + Returns tuple of (phi, numpoints) + For more information on how phi is calculated see Eq.(24) in 1410.8849 """ alldata, central, npoints = abs_chi2_data - return np.sqrt((alldata.data.mean() - central)/npoints) + return (np.sqrt((alldata.data.mean() - central)/npoints), npoints) def phi_data_experiment(abs_chi2_data_experiment): """Like `phi_data` but for whole experiment""" @@ -656,7 +674,40 @@ def dataset_chi2_table(chi2_stats, dataset): """Show the chi² estimators for a given dataset""" return pd.DataFrame(chi2_stats, index=[dataset.name]) +fits_exp_from_plotting_chi2 = collect( + 'experiments_chi2', ('fits', 'experiments_from_plotting_withcontext',)) +fits_exp_from_plotting = collect( + 'experiments', ('fits', 'experiments_from_plotting_withcontext',)) +@table +def fits_exp_by_plotting_chi2_table(fits, fits_exp_from_plotting, fits_exp_from_plotting_chi2, + per_point_data:bool=True): + """For every fit, returns the chi2 and number of data points per experiment, where experiment is + a collection of datasets grouped according to the experiment key in the plotting info file + """ + dfs = [] + cols = ('ndata', r'$\chi^2/ndata$') if per_point_data else ('ndata', r'$\chi^2$') + for fit, experiments, exps_chi2 in zip(fits, fits_exp_from_plotting, fits_exp_from_plotting_chi2): + records = [] + for experiment, exp_chi2 in zip(experiments, exps_chi2): + mean_chi2 = exp_chi2.central_result.mean() + npoints = exp_chi2.ndata + records.append(dict( + experiment=str(experiment), + npoints=npoints, + mean_chi2 = mean_chi2 + + )) + df = pd.DataFrame.from_records(records, + columns=('experiment', 'npoints', 'mean_chi2'), + index = ('experiment', ) + ) + if per_point_data: + df['mean_chi2'] /= df['npoints'] + df.columns = pd.MultiIndex.from_product(([str(fit)], cols)) + dfs.append(df) + res = pd.concat(dfs, axis=1) + return res #TODO: Possibly get rid of the per_point_data parameter and have separate #actions for absolute and relative tables. @@ -691,6 +742,35 @@ def fits_experiments_chi2_table(fits, fits_experiments, fits_experiment_chi2_dat res = pd.concat(dfs, axis=1) return res +fits_exp_by_plotting_phi = collect( + 'experiments_phi', ('fits', 'experiments_from_plotting_withcontext')) + +@table +def fits_phi_table(fits, fits_exp_from_plotting, fits_exp_by_plotting_phi): + """For every fit, returns phi and number of data points per experiment, where experiment is + a collection of datasets grouped according to the experiment key in the plotting info file + """ + dfs = [] + cols = ('ndata', r'$\phi$') + for fit, experiments, exps_phi in zip(fits, fits_exp_from_plotting, fits_exp_by_plotting_phi): + records = [] + for experiment, (exp_phi, npoints) in zip(experiments, exps_phi): + npoints = npoints + records.append(dict( + experiment=str(experiment), + npoints=npoints, + phi = exp_phi + + )) + df = pd.DataFrame.from_records(records, + columns=('experiment', 'npoints', 'phi'), + index = ('experiment', ) + ) + df.columns = pd.MultiIndex.from_product(([str(fit)], cols)) + dfs.append(df) + res = pd.concat(dfs, axis=1) + return res + @table @check_speclabels_different def dataspecs_experiments_chi2_table(dataspecs_speclabel, dataspecs_experiments, @@ -704,20 +784,20 @@ def dataspecs_experiments_chi2_table(dataspecs_speclabel, dataspecs_experiments, @table -def fits_datasets_chi2_table(fits, fits_experiments, fits_chi2_data, +def fits_datasets_chi2_table(fits, fits_exp_from_plotting, fits_chi2_data, per_point_data:bool=True): """A table with the chi2 for each included dataset in the fits, computed with the theory corresponding to the fit. The result are indexed in two - levels by experiment and dataset. If points_per_data is True, - the chi² will be shown divided by ndata. - Otherwise they will be absolute.""" + levels by experiment and dataset, where experiment is the grouping of datasets according to the + `experiment` key in the plotting info file. If points_per_data is True, the chi² will be shown + divided by ndata. Otherwise they will be absolute.""" chi2_it = iter(fits_chi2_data) cols = ('ndata', r'$\chi^2/ndata$') if per_point_data else ('ndata', r'$\chi^2$') dfs = [] - for fit, experiments in zip(fits, fits_experiments): + for fit, experiments in zip(fits, fits_exp_from_plotting): records = [] for experiment in experiments: for dataset, chi2 in zip(experiment.datasets, chi2_it): @@ -755,15 +835,16 @@ def dataspecs_datasets_chi2_table(dataspecs_speclabel, dataspecs_experiments, def fits_chi2_table( fits_experiments_chi2_table, fits_datasets_chi2_table, + fits_exp_by_plotting_chi2_table, show_total:bool=False): """Show the chi² of each and number of points of each dataset and experiment - of each fit, - computed with the theory corresponding to the fit. Dataset that are not - included in some fit appear as "Not Fitted". This is itended for display - purposes.""" - lvs = fits_experiments_chi2_table.index + of each fit, where experiment is a group of datasets according to the `experiment` key in + the plotting info file, computed with the theory corresponding to the fit. Dataset that are not + included in some fit appear as `NaN` + """ + lvs = fits_exp_by_plotting_chi2_table.index expanded_index = pd.MultiIndex.from_product((lvs, ["Total"])) - edf = fits_experiments_chi2_table.set_index(expanded_index) + edf = fits_exp_by_plotting_chi2_table.set_index(expanded_index) ddf = fits_datasets_chi2_table dfs = [] #TODO: Better way to do the merge preserving the order? @@ -883,7 +964,6 @@ def experiments_central_values(experiment_result_table): experiments_results = collect(experiment_results, ('experiments',)) experiments_phi = collect(phi_data_experiment, ('experiments',)) -experiments_pdfs_phi = collect('experiments_phi', ('pdfs',)) pdfs_total_chi2 = collect(total_experiments_chi2, ('pdfs',)) @@ -919,23 +999,3 @@ def experiments_central_values(experiment_result_table): dataspecs_commondata = collect('commondata', ('dataspecs',)) dataspecs_pdf = collect('pdf', ('dataspecs',)) dataspecs_fit = collect('fit', ('dataspecs',)) - -def fixup_fitthcovmat(fitthcovmat, experiments=None): - """If both `fitthcovmat` and `experiments` exist then change the level 1 keys of `fitthcovmat` - to match `experiments` - """ - if fitthcovmat: - loaded_covmat = fitthcovmat.load() - if experiments: - exp_names = np.array(loaded_covmat.index.get_level_values(0), copy=True) - ds_names = loaded_covmat.index.get_level_values(1) - ds_index = loaded_covmat.index.get_level_values(2) - for exp in experiments: - for ds in exp.datasets: - choose = np.where(ds_names == ds.name) - exp_names[choose] = exp.name - new_index = pd.MultiIndex.from_arrays([exp_names, ds_names, ds_index]) - loaded_covmat = pd.DataFrame(loaded_covmat.values, index=new_index, columns=new_index) - return loaded_covmat - else: - return fitthcovmat From 8f01a540f43583e159de203cf5555b55aa8911c0 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 12 Apr 2019 13:28:26 +0100 Subject: [PATCH 270/429] fixed fits_chi2_table for totals to work, added warning about future deprecation to fits_chi2_table and summarise_fits --- validphys2/src/validphys/fitdata.py | 3 +++ validphys2/src/validphys/results.py | 19 +++++++++++-------- 2 files changed, 14 insertions(+), 8 deletions(-) diff --git a/validphys2/src/validphys/fitdata.py b/validphys2/src/validphys/fitdata.py index 9f63b10420..64c768c852 100644 --- a/validphys2/src/validphys/fitdata.py +++ b/validphys2/src/validphys/fitdata.py @@ -165,6 +165,9 @@ def fit_summary(fit, replica_data, total_experiments_chi2data): def summarise_fits(collected_fit_summaries): """ Produces a table of basic comparisons between fits, includes all the fields used in fit_summary """ + log.warning("Using `collected_fit_summaries` which collects over `experiments` defined in fit " + "can affect construction of total covariance matrix, this will be deprecated " + "and should be changed to collect over `data` when that keyword is implemented") return pd.concat(collected_fit_summaries, axis=1) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index da29f28f76..e065c67944 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -830,10 +830,13 @@ def dataspecs_datasets_chi2_table(dataspecs_speclabel, dataspecs_experiments, dataspecs_chi2_data, per_point_data=per_point_data) +#NOTE: This will need to be changed to work with `data` when that gets added +fits_total_chi2_data = collect('total_experiments_chi2data', ('fits', 'fitcontext')) + #TODO: Decide what to do with the horrible totals code. @table def fits_chi2_table( - fits_experiments_chi2_table, + fits_total_chi2_data, fits_datasets_chi2_table, fits_exp_by_plotting_chi2_table, show_total:bool=False): @@ -851,15 +854,17 @@ def fits_chi2_table( for lv in lvs: dfs.append(pd.concat((edf.loc[lv],ddf.loc[lv]), copy=False, axis=0)) if show_total: - total_points = fits_experiments_chi2_table.iloc[:, 0::2].sum().values - total_chi = (fits_experiments_chi2_table.iloc[:, 0::2].values * - fits_experiments_chi2_table.iloc[:,1::2].values).sum(axis=0) + log.warning("Using `fits_total_chi2_data` which collects over `experiments` defined in fit " + "can affect construction of total covariance matrix, this will be deprecated " + "and should be changed to collect over `data` when that keyword is implemented") + total_points = np.array([total_chi2_data.ndata for total_chi2_data in fits_total_chi2_data]) + total_chi = np.array([total_chi2_data.central_result for total_chi2_data in fits_total_chi2_data]) total_chi /= total_points row = np.zeros(len(total_points)*2) row[::2] = total_points row[1::2] = total_chi df = pd.DataFrame(np.atleast_2d(row), - columns=fits_experiments_chi2_table.columns, + columns=fits_exp_by_plotting_chi2_table.columns, index=['Total']) dfs.append(df) keys = [*lvs, 'Total'] @@ -974,15 +979,13 @@ def experiments_central_values(experiment_result_table): #These are convenient ways to iterate and extract varios data from fits fits_chi2_data = collect(abs_chi2_data, ('fits', 'fitcontext', 'experiments', 'experiment')) -fits_experiment_chi2_data = collect('experiments_chi2', ('fits', 'fitcontext')) + fits_total_chi2 = collect('total_experiments_chi2', ('fits', 'fitcontext')) fits_total_chi2_for_experiments = collect('total_experiment_chi2', ('fits', 'fittheoryandpdf', 'expspec', 'experiment')) - -fits_experiments = collect('experiments', ('fits', 'fitcontext')) fits_pdf = collect('pdf', ('fits', 'fitpdf')) #Dataspec is so From 08524d63ba0266856eadf0098cb147845dc5b3ed Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 12 Apr 2019 13:44:41 +0100 Subject: [PATCH 271/429] deprecated/changed old experiments functions to use new behaviour --- .../validphys/comparefittemplates/report.md | 4 +- validphys2/src/validphys/dataplots.py | 16 +---- validphys2/src/validphys/results.py | 58 +++++-------------- 3 files changed, 19 insertions(+), 59 deletions(-) diff --git a/validphys2/src/validphys/comparefittemplates/report.md b/validphys2/src/validphys/comparefittemplates/report.md index 08d7bb89ba..1f7030d63b 100644 --- a/validphys2/src/validphys/comparefittemplates/report.md +++ b/validphys2/src/validphys/comparefittemplates/report.md @@ -33,7 +33,7 @@ Training validation $\chi^2$ by experiment ---------------------- -{@plot_fits_exp_by_plotting_chi2@} +{@plot_fits_experiments_chi2@} $\chi^2$ by dataset comparisons ------------------------------- @@ -44,7 +44,7 @@ $\chi^2$ by dataset comparisons $\phi$ by experiment -------------------- -{@plot_phi_fits_exp_by_plotting@} +{@plot_fits_experiments_phi@} Experiment plots --------------- diff --git a/validphys2/src/validphys/dataplots.py b/validphys2/src/validphys/dataplots.py index 632ee51ee7..6ecdb2adb8 100644 --- a/validphys2/src/validphys/dataplots.py +++ b/validphys2/src/validphys/dataplots.py @@ -61,11 +61,11 @@ def plot_phi(experiments, experiments_phi): return fig @figure -def plot_phi_fits_exp_by_plotting(fits_phi_table): +def plot_fits_experiments_phi(fits_experiments_phi_table): """Plots a set of bars for each fit, each bar represents the value of phi for the corresponding experiment, where the experiment is a group of datasets according to the `experiment` key in - the plotting info file""" - fig, ax = _plot_chis_df(fits_phi_table) + the PLOTTING info file""" + fig, ax = _plot_chis_df(fits_experiments_phi_table) ax.set_title(r"$\phi$ for each experiment") return fig @@ -531,16 +531,6 @@ def plot_fits_experiments_chi2(fits_experiments_chi2_table): ax.set_title(r"$\chi^2$ for experiments") return fig -@figure -def plot_fits_exp_by_plotting_chi2(fits_exp_by_plotting_chi2_table): - """Generate a plot equivalent to ``plot_experiments_chi2`` using all fits - and grouping datasets into experiments according to the `experiment` key defined in the - plotting file. - """ - fig, ax = _plot_chis_df(fits_exp_by_plotting_chi2_table) - ax.set_title(r"$\chi^2$ for experiments") - return fig - @figure def plot_dataspecs_experiments_chi2(dataspecs_experiments_chi2_table): """Same as plot_fits_experiments_chi2 but for arbitrary dataspecs""" diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index e065c67944..e089cbb238 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -674,41 +674,11 @@ def dataset_chi2_table(chi2_stats, dataset): """Show the chi² estimators for a given dataset""" return pd.DataFrame(chi2_stats, index=[dataset.name]) -fits_exp_from_plotting_chi2 = collect( +fits_experiment_chi2_data = collect( 'experiments_chi2', ('fits', 'experiments_from_plotting_withcontext',)) -fits_exp_from_plotting = collect( +fits_experiments = collect( 'experiments', ('fits', 'experiments_from_plotting_withcontext',)) -@table -def fits_exp_by_plotting_chi2_table(fits, fits_exp_from_plotting, fits_exp_from_plotting_chi2, - per_point_data:bool=True): - """For every fit, returns the chi2 and number of data points per experiment, where experiment is - a collection of datasets grouped according to the experiment key in the plotting info file - """ - dfs = [] - cols = ('ndata', r'$\chi^2/ndata$') if per_point_data else ('ndata', r'$\chi^2$') - for fit, experiments, exps_chi2 in zip(fits, fits_exp_from_plotting, fits_exp_from_plotting_chi2): - records = [] - for experiment, exp_chi2 in zip(experiments, exps_chi2): - mean_chi2 = exp_chi2.central_result.mean() - npoints = exp_chi2.ndata - records.append(dict( - experiment=str(experiment), - npoints=npoints, - mean_chi2 = mean_chi2 - - )) - df = pd.DataFrame.from_records(records, - columns=('experiment', 'npoints', 'mean_chi2'), - index = ('experiment', ) - ) - if per_point_data: - df['mean_chi2'] /= df['npoints'] - df.columns = pd.MultiIndex.from_product(([str(fit)], cols)) - dfs.append(df) - res = pd.concat(dfs, axis=1) - return res - #TODO: Possibly get rid of the per_point_data parameter and have separate #actions for absolute and relative tables. @table @@ -742,17 +712,17 @@ def fits_experiments_chi2_table(fits, fits_experiments, fits_experiment_chi2_dat res = pd.concat(dfs, axis=1) return res -fits_exp_by_plotting_phi = collect( +fits_experiments_phi = collect( 'experiments_phi', ('fits', 'experiments_from_plotting_withcontext')) @table -def fits_phi_table(fits, fits_exp_from_plotting, fits_exp_by_plotting_phi): +def fits_experiments_phi_table(fits, fits_experiments, fits_experiments_phi): """For every fit, returns phi and number of data points per experiment, where experiment is - a collection of datasets grouped according to the experiment key in the plotting info file + a collection of datasets grouped according to the experiment key in the PLOTTING info file """ dfs = [] cols = ('ndata', r'$\phi$') - for fit, experiments, exps_phi in zip(fits, fits_exp_from_plotting, fits_exp_by_plotting_phi): + for fit, experiments, exps_phi in zip(fits, fits_experiments, fits_experiments_phi): records = [] for experiment, (exp_phi, npoints) in zip(experiments, exps_phi): npoints = npoints @@ -784,12 +754,12 @@ def dataspecs_experiments_chi2_table(dataspecs_speclabel, dataspecs_experiments, @table -def fits_datasets_chi2_table(fits, fits_exp_from_plotting, fits_chi2_data, +def fits_datasets_chi2_table(fits, fits_experiments, fits_chi2_data, per_point_data:bool=True): """A table with the chi2 for each included dataset in the fits, computed with the theory corresponding to the fit. The result are indexed in two levels by experiment and dataset, where experiment is the grouping of datasets according to the - `experiment` key in the plotting info file. If points_per_data is True, the chi² will be shown + `experiment` key in the PLOTTING info file. If points_per_data is True, the chi² will be shown divided by ndata. Otherwise they will be absolute.""" chi2_it = iter(fits_chi2_data) @@ -797,7 +767,7 @@ def fits_datasets_chi2_table(fits, fits_exp_from_plotting, fits_chi2_data, cols = ('ndata', r'$\chi^2/ndata$') if per_point_data else ('ndata', r'$\chi^2$') dfs = [] - for fit, experiments in zip(fits, fits_exp_from_plotting): + for fit, experiments in zip(fits, fits_experiments): records = [] for experiment in experiments: for dataset, chi2 in zip(experiment.datasets, chi2_it): @@ -838,16 +808,16 @@ def dataspecs_datasets_chi2_table(dataspecs_speclabel, dataspecs_experiments, def fits_chi2_table( fits_total_chi2_data, fits_datasets_chi2_table, - fits_exp_by_plotting_chi2_table, + fits_experiments_chi2_table, show_total:bool=False): """Show the chi² of each and number of points of each dataset and experiment of each fit, where experiment is a group of datasets according to the `experiment` key in - the plotting info file, computed with the theory corresponding to the fit. Dataset that are not + the PLOTTING info file, computed with the theory corresponding to the fit. Dataset that are not included in some fit appear as `NaN` """ - lvs = fits_exp_by_plotting_chi2_table.index + lvs = fits_experiments_chi2_table.index expanded_index = pd.MultiIndex.from_product((lvs, ["Total"])) - edf = fits_exp_by_plotting_chi2_table.set_index(expanded_index) + edf = fits_experiments_chi2_table.set_index(expanded_index) ddf = fits_datasets_chi2_table dfs = [] #TODO: Better way to do the merge preserving the order? @@ -864,7 +834,7 @@ def fits_chi2_table( row[::2] = total_points row[1::2] = total_chi df = pd.DataFrame(np.atleast_2d(row), - columns=fits_exp_by_plotting_chi2_table.columns, + columns=fits_experiments_chi2_table.columns, index=['Total']) dfs.append(df) keys = [*lvs, 'Total'] From 13ceab356cdcae058491dcff8a7424a509915ecf Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 12 Apr 2019 14:31:25 +0100 Subject: [PATCH 272/429] attempt to get tests working --- validphys2/src/validphys/results.py | 10 ++++++---- validphys2/src/validphys/tests/conftest.py | 10 +++++++--- 2 files changed, 13 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index e089cbb238..ae319956f3 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -411,7 +411,8 @@ def experiment_results(experiment, pdf:PDF, experiment_covariance_matrix, #It's better to duplicate a few lines than to complicate the logic of #``results`` to support this. #TODO: The above comment doesn't make sense after adding T0. Deprecate this -def pdf_results(dataset:(DataSetSpec, ExperimentSpec), pdfs:Sequence, t0set:(PDF, type(None))): +def pdf_results(dataset:(DataSetSpec, ExperimentSpec), pdfs:Sequence, covariance_matrix:tuple, + t0set:(PDF, type(None))): """Return a list of results, the first for the data and the rest for each of the PDFs.""" @@ -430,11 +431,12 @@ def pdf_results(dataset:(DataSetSpec, ExperimentSpec), pdfs:Sequence, t0set:(PD th_results.append(th_result) - return (DataResult(data), *th_results) + return (DataResult(data, *covariance_matrix), *th_results) @require_one('pdfs', 'pdf') @remove_outer('pdfs', 'pdf') def one_or_more_results(dataset:(DataSetSpec, ExperimentSpec), + covariance_matrix: tuple, pdfs:(type(None), Sequence)=None, pdf:(type(None), PDF)=None, t0set:(PDF, type(None))=None): @@ -443,9 +445,9 @@ def one_or_more_results(dataset:(DataSetSpec, ExperimentSpec), Which of the two is selected intelligently depending on the namespace, when executing as an action.""" if pdf: - return results(dataset, pdf, t0set) + return results(dataset, pdf, covariance_matrix, t0set) else: - return pdf_results(dataset, pdfs, t0set) + return pdf_results(dataset, pdfs, covariance_matrix, t0set) raise ValueError("Either 'pdf' or 'pdfs' is required") diff --git a/validphys2/src/validphys/tests/conftest.py b/validphys2/src/validphys/tests/conftest.py index 90d9720494..f57bbd25e1 100644 --- a/validphys2/src/validphys/tests/conftest.py +++ b/validphys2/src/validphys/tests/conftest.py @@ -36,7 +36,9 @@ def data(): def convolution_results_implement(data): pdf, exps = data - return [results.experiment_results(exp, pdf, pdf) for exp in exps] + #no theory covmat here + covs = [results.experiment_covariance_matrix(exp, False) for exp in exps] + return [results.experiment_results(exp, pdf, cov, pdf) for exp, cov in zip(exps, covs)] @pytest.fixture(scope='module') def convolution_results(data): @@ -46,7 +48,8 @@ def convolution_results(data): def dataset_t0_convolution_results(data): pdf, exps = data ds = [x.datasets[0] for x in exps] - return [results.results(x, pdf, t0set=pdf) for x in ds] + covs = [results.covariance_matrix(x, False) for x in ds] + return [results.results(x, pdf, cov, t0set=pdf) for x, cov in zip(ds, covs)] @pytest.fixture(scope='module') def single_exp_data(): @@ -62,7 +65,8 @@ def single_exp_data(): @pytest.fixture(scope='module') def dataset_convolution_results(single_exp_data): pdf, exp = single_exp_data - return [results.results(ds, pdf, pdf) for ds in exp.datasets] + covs = [results.covariance_matrix(ds, False) for ds in exp.datasets] + return [results.results(ds, pdf, cov, pdf) for ds, cov in zip(exp.datasets, covs)] @pytest.fixture(scope='module') def dataset_chi2data(dataset_convolution_results): From 0cb17f8165d5965a6ec213735420b46d3cf07715 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 12 Apr 2019 16:18:57 +0100 Subject: [PATCH 273/429] included t0set option in covariance_matrix --- validphys2/src/validphys/results.py | 53 +++++++++++----------- validphys2/src/validphys/tests/conftest.py | 12 ++--- 2 files changed, 32 insertions(+), 33 deletions(-) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index ae319956f3..f43fc3561e 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -358,12 +358,21 @@ def closure_pseudodata_replicas(experiments, pdf, nclosure:int, return df #TODO: Add check here that dataset appears in fitthcovmat (if true) and that cuts match -def covariance_matrix(dataset:DataSetSpec, fitthcovmat): +def covariance_matrix(dataset:DataSetSpec, fitthcovmat, t0set:(PDF, type(None))=None): """Returns a tuple of Covariance matrix and sqrt covariance matrix for the given dataset which includes theory contribution from scale variations if `use_theorycovmat` is True and an appropriate fit from which the covariance matrix will be loaded is given + + if t0set is specified then t0 predictions will be used to construct the covariance matrix. """ loaded_data = dataset.load() + + if t0set: + #Copy data to avoid chaos + loaded_data = type(loaded_data)(loaded_data) + log.debug("Setting T0 predictions for %s" % dataset) + loaded_data.SetT0(t0set.load_t0()) + if fitthcovmat: loaded_thcov = fitthcovmat.load() covmat = get_df_block(loaded_thcov, dataset.name, level=1) + loaded_data.get_covmat() @@ -373,8 +382,16 @@ def covariance_matrix(dataset:DataSetSpec, fitthcovmat): sqrtcovmat = loaded_data.get_sqrtcovmat() return covmat, sqrtcovmat -def experiment_covariance_matrix(experiment: ExperimentSpec, fitthcovmat): +def experiment_covariance_matrix(experiment: ExperimentSpec, fitthcovmat, t0set:(PDF, type(None))=None): + """Like `covariance_matrix` except for an experiment""" loaded_data = experiment.load() + + if t0set: + #Copy data to avoid chaos + loaded_data = type(loaded_data)(loaded_data) + log.debug("Setting T0 predictions for %s" % experiment) + loaded_data.SetT0(t0set.load_t0()) + if fitthcovmat: loaded_thcov = fitthcovmat.load() ds_names = loaded_thcov.index.get_level_values(1) @@ -386,44 +403,27 @@ def experiment_covariance_matrix(experiment: ExperimentSpec, fitthcovmat): sqrtcovmat = loaded_data.get_sqrtcovmat() return covmat, sqrtcovmat -def results(dataset:(DataSetSpec), pdf:PDF, covariance_matrix, t0set:(PDF, type(None))=None): +def results(dataset:(DataSetSpec), pdf:PDF, covariance_matrix): """Tuple of data and theory results for a single pdf. The theory is specified as part of the dataset. An experiment is also allowed. (as a result of the C++ code layout).""" data = dataset.load() - - - if t0set: - #Copy data to avoid chaos - data = type(data)(data) - log.debug("Setting T0 predictions for %s" % dataset) - data.SetT0(t0set.load_t0()) - return (DataResult(data, *covariance_matrix), ThPredictionsResult.from_convolution(pdf, dataset, loaded_data=data)) -def experiment_results(experiment, pdf:PDF, experiment_covariance_matrix, - t0set:(PDF, type(None))=None): +def experiment_results(experiment, pdf:PDF, experiment_covariance_matrix): """Like `results` but for a whole experiment""" - return results(experiment, pdf, experiment_covariance_matrix, t0set) + return results(experiment, pdf, experiment_covariance_matrix) #It's better to duplicate a few lines than to complicate the logic of #``results`` to support this. #TODO: The above comment doesn't make sense after adding T0. Deprecate this -def pdf_results(dataset:(DataSetSpec, ExperimentSpec), pdfs:Sequence, covariance_matrix:tuple, - t0set:(PDF, type(None))): +def pdf_results(dataset:(DataSetSpec, ExperimentSpec), pdfs:Sequence, covariance_matrix:tuple): """Return a list of results, the first for the data and the rest for each of the PDFs.""" data = dataset.load() - - if t0set: - #Copy data to avoid chaos - data = type(data)(data) - log.debug("Setting T0 predictions for %s" % dataset) - data.SetT0(t0set.load_t0()) - th_results = [] for pdf in pdfs: th_result = ThPredictionsResult.from_convolution(pdf, dataset, @@ -438,16 +438,15 @@ def pdf_results(dataset:(DataSetSpec, ExperimentSpec), pdfs:Sequence, covarianc def one_or_more_results(dataset:(DataSetSpec, ExperimentSpec), covariance_matrix: tuple, pdfs:(type(None), Sequence)=None, - pdf:(type(None), PDF)=None, - t0set:(PDF, type(None))=None): + pdf:(type(None), PDF)=None): """Generate a list of results, where the first element is the data values, and the next is either the prediction for pdf or for each of the pdfs. Which of the two is selected intelligently depending on the namespace, when executing as an action.""" if pdf: - return results(dataset, pdf, covariance_matrix, t0set) + return results(dataset, pdf, covariance_matrix) else: - return pdf_results(dataset, pdfs, covariance_matrix, t0set) + return pdf_results(dataset, pdfs, covariance_matrix) raise ValueError("Either 'pdf' or 'pdfs' is required") diff --git a/validphys2/src/validphys/tests/conftest.py b/validphys2/src/validphys/tests/conftest.py index f57bbd25e1..3a84a34314 100644 --- a/validphys2/src/validphys/tests/conftest.py +++ b/validphys2/src/validphys/tests/conftest.py @@ -37,8 +37,8 @@ def data(): def convolution_results_implement(data): pdf, exps = data #no theory covmat here - covs = [results.experiment_covariance_matrix(exp, False) for exp in exps] - return [results.experiment_results(exp, pdf, cov, pdf) for exp, cov in zip(exps, covs)] + covs = [results.experiment_covariance_matrix(exp, False, pdf) for exp in exps] + return [results.experiment_results(exp, pdf, cov) for exp, cov in zip(exps, covs)] @pytest.fixture(scope='module') def convolution_results(data): @@ -48,8 +48,8 @@ def convolution_results(data): def dataset_t0_convolution_results(data): pdf, exps = data ds = [x.datasets[0] for x in exps] - covs = [results.covariance_matrix(x, False) for x in ds] - return [results.results(x, pdf, cov, t0set=pdf) for x, cov in zip(ds, covs)] + covs = [results.covariance_matrix(x, False, pdf) for x in ds] + return [results.results(x, pdf, cov) for x, cov in zip(ds, covs)] @pytest.fixture(scope='module') def single_exp_data(): @@ -65,8 +65,8 @@ def single_exp_data(): @pytest.fixture(scope='module') def dataset_convolution_results(single_exp_data): pdf, exp = single_exp_data - covs = [results.covariance_matrix(ds, False) for ds in exp.datasets] - return [results.results(ds, pdf, cov, pdf) for ds, cov in zip(exp.datasets, covs)] + covs = [results.covariance_matrix(ds, False, pdf) for ds in exp.datasets] + return [results.results(ds, pdf, cov) for ds, cov in zip(exp.datasets, covs)] @pytest.fixture(scope='module') def dataset_chi2data(dataset_convolution_results): From d03edeb9ba28a020b55decc3c79df5cf8849de67 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Mon, 15 Apr 2019 17:45:26 +0100 Subject: [PATCH 274/429] added labels to vp-comparefits tables and plots to indicate th covmat usage --- validphys2/src/validphys/fitdata.py | 4 ++-- validphys2/src/validphys/results.py | 33 +++++++++++++++++++---------- 2 files changed, 24 insertions(+), 13 deletions(-) diff --git a/validphys2/src/validphys/fitdata.py b/validphys2/src/validphys/fitdata.py index 64c768c852..7923058879 100644 --- a/validphys2/src/validphys/fitdata.py +++ b/validphys2/src/validphys/fitdata.py @@ -120,7 +120,7 @@ def replica_data(fit, replica_paths): @table -def fit_summary(fit, replica_data, total_experiments_chi2data): +def fit_summary(fit_label, replica_data, total_experiments_chi2data): """ Summary table of fit properties - Central chi-squared - Average chi-squared @@ -157,7 +157,7 @@ def fit_summary(fit, replica_data, total_experiments_chi2data): (r"$<\chi^2>$", f"{VET(np.mean(member_chi2), np.std(member_chi2))}"), (r"$\phi$", f"{VET(phi, phi_err)}"))) - return pd.Series(data, index=data.keys(), name=fit.name) + return pd.Series(data, index=data.keys(), name=fit_label) collected_fit_summaries = collect('fit_summary', ('fits', 'fitcontext')) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index f43fc3561e..11802648ea 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -358,7 +358,7 @@ def closure_pseudodata_replicas(experiments, pdf, nclosure:int, return df #TODO: Add check here that dataset appears in fitthcovmat (if true) and that cuts match -def covariance_matrix(dataset:DataSetSpec, fitthcovmat, t0set:(PDF, type(None))=None): +def covariance_matrix(dataset:DataSetSpec, fitthcovmat, t0set:(PDF, type(None)) = None): """Returns a tuple of Covariance matrix and sqrt covariance matrix for the given dataset which includes theory contribution from scale variations if `use_theorycovmat` is True and an appropriate fit from which the covariance matrix will be loaded is given @@ -382,7 +382,8 @@ def covariance_matrix(dataset:DataSetSpec, fitthcovmat, t0set:(PDF, type(None))= sqrtcovmat = loaded_data.get_sqrtcovmat() return covmat, sqrtcovmat -def experiment_covariance_matrix(experiment: ExperimentSpec, fitthcovmat, t0set:(PDF, type(None))=None): +def experiment_covariance_matrix( + experiment: ExperimentSpec, fitthcovmat, t0set:(PDF, type(None)) = None): """Like `covariance_matrix` except for an experiment""" loaded_data = experiment.load() @@ -680,10 +681,20 @@ def dataset_chi2_table(chi2_stats, dataset): fits_experiments = collect( 'experiments', ('fits', 'experiments_from_plotting_withcontext',)) +def fit_label(fit, fitthcovmat): + if fitthcovmat: + label = str(fit) + " (exp + th)" + else: + label = str(fit) + return label + +fits_label = collect('fit_label', ('fits',)) + + #TODO: Possibly get rid of the per_point_data parameter and have separate #actions for absolute and relative tables. @table -def fits_experiments_chi2_table(fits, fits_experiments, fits_experiment_chi2_data, +def fits_experiments_chi2_table(fits_label, fits_experiments, fits_experiment_chi2_data, per_point_data:bool=True): """A table with the chi2 for each included experiment in the fits, computed with the theory corresponding to each fit. If points_per_data is @@ -691,7 +702,7 @@ def fits_experiments_chi2_table(fits, fits_experiments, fits_experiment_chi2_dat Otherwise they will be absolute.""" dfs = [] cols = ('ndata', r'$\chi^2/ndata$') if per_point_data else ('ndata', r'$\chi^2$') - for fit, experiments, exps_chi2 in zip(fits, fits_experiments, fits_experiment_chi2_data): + for label, experiments, exps_chi2 in zip(fits_label, fits_experiments, fits_experiment_chi2_data): records = [] for experiment, exp_chi2 in zip(experiments, exps_chi2): mean_chi2 = exp_chi2.central_result.mean() @@ -708,7 +719,7 @@ def fits_experiments_chi2_table(fits, fits_experiments, fits_experiment_chi2_dat ) if per_point_data: df['mean_chi2'] /= df['npoints'] - df.columns = pd.MultiIndex.from_product(([str(fit)], cols)) + df.columns = pd.MultiIndex.from_product(([label], cols)) dfs.append(df) res = pd.concat(dfs, axis=1) return res @@ -717,13 +728,13 @@ def fits_experiments_chi2_table(fits, fits_experiments, fits_experiment_chi2_dat 'experiments_phi', ('fits', 'experiments_from_plotting_withcontext')) @table -def fits_experiments_phi_table(fits, fits_experiments, fits_experiments_phi): +def fits_experiments_phi_table(fits_label, fits_experiments, fits_experiments_phi): """For every fit, returns phi and number of data points per experiment, where experiment is a collection of datasets grouped according to the experiment key in the PLOTTING info file """ dfs = [] cols = ('ndata', r'$\phi$') - for fit, experiments, exps_phi in zip(fits, fits_experiments, fits_experiments_phi): + for label, experiments, exps_phi in zip(fits_label, fits_experiments, fits_experiments_phi): records = [] for experiment, (exp_phi, npoints) in zip(experiments, exps_phi): npoints = npoints @@ -737,7 +748,7 @@ def fits_experiments_phi_table(fits, fits_experiments, fits_experiments_phi): columns=('experiment', 'npoints', 'phi'), index = ('experiment', ) ) - df.columns = pd.MultiIndex.from_product(([str(fit)], cols)) + df.columns = pd.MultiIndex.from_product(([label], cols)) dfs.append(df) res = pd.concat(dfs, axis=1) return res @@ -755,7 +766,7 @@ def dataspecs_experiments_chi2_table(dataspecs_speclabel, dataspecs_experiments, @table -def fits_datasets_chi2_table(fits, fits_experiments, fits_chi2_data, +def fits_datasets_chi2_table(fits_label, fits_experiments, fits_chi2_data, per_point_data:bool=True): """A table with the chi2 for each included dataset in the fits, computed with the theory corresponding to the fit. The result are indexed in two @@ -768,7 +779,7 @@ def fits_datasets_chi2_table(fits, fits_experiments, fits_chi2_data, cols = ('ndata', r'$\chi^2/ndata$') if per_point_data else ('ndata', r'$\chi^2$') dfs = [] - for fit, experiments in zip(fits, fits_experiments): + for label, experiments in zip(fits_label, fits_experiments): records = [] for experiment in experiments: for dataset, chi2 in zip(experiment.datasets, chi2_it): @@ -788,7 +799,7 @@ def fits_datasets_chi2_table(fits, fits_experiments, fits_chi2_data, ) if per_point_data: df['mean_chi2'] /= df['npoints'] - df.columns = pd.MultiIndex.from_product(([str(fit)], cols)) + df.columns = pd.MultiIndex.from_product(([label], cols)) dfs.append(df) return pd.concat(dfs, axis=1) From 3c6c7bdda0cca825b713ae5bf14cdfd380daad34 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Tue, 16 Apr 2019 14:56:15 +0100 Subject: [PATCH 275/429] added rudimentary checks for loaded th covmat, added vp-comparefits summarise if th covmat used --- validphys2/src/validphys/checks.py | 31 +++++++++++++++++++ .../validphys/comparefittemplates/report.md | 4 +++ validphys2/src/validphys/fitdata.py | 26 ++++++++++++++++ validphys2/src/validphys/results.py | 14 +++++++-- 4 files changed, 72 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/checks.py b/validphys2/src/validphys/checks.py index e6ce3eb531..d2719ec690 100644 --- a/validphys2/src/validphys/checks.py +++ b/validphys2/src/validphys/checks.py @@ -103,6 +103,37 @@ def check_cuts_considered(use_cuts): raise CheckError(f"Cuts must be computed for this action, but they are set to {use_cuts.value}") +@make_argcheck +def check_dataset_cuts_match_theorycovmat(dataset, fitthcovmat): + if fitthcovmat: + ds_index = fitthcovmat.load().index.get_level_values(1) + ncovmat = (ds_index == dataset.name).sum() + + cuts = dataset.cuts + if cuts: + ndata = len(dataset.cuts.load()) + else: + ndata = dataset.commondata.ndata + check(ndata == ncovmat) + + +@make_argcheck +def check_experiment_cuts_match_theorycovmat( + experiment, fitthcovmat): + for dataset in experiment.datasets: + if fitthcovmat: + ds_index = fitthcovmat.load().index.get_level_values(1) + ncovmat = (ds_index == dataset.name).sum() + + cuts = dataset.cuts + if cuts: + ndata = len(dataset.cuts.load()) + else: + ndata = dataset.commondata.ndata + check(ndata == ncovmat) + + + @make_argcheck def check_have_two_pdfs(pdfs): check(len(pdfs) == 2,'Expecting exactly two pdfs.') diff --git a/validphys2/src/validphys/comparefittemplates/report.md b/validphys2/src/validphys/comparefittemplates/report.md index 1f7030d63b..d879eb9f93 100644 --- a/validphys2/src/validphys/comparefittemplates/report.md +++ b/validphys2/src/validphys/comparefittemplates/report.md @@ -4,6 +4,10 @@ Fit summary ------------------ {@ summarise_fits @} +Theory Covariance Summary +------------------------- +{@summarise_theory_covmat_fits@} + Dataset properties ------------------ {@current datasets_properties_table@} diff --git a/validphys2/src/validphys/fitdata.py b/validphys2/src/validphys/fitdata.py index 7923058879..2de1573470 100644 --- a/validphys2/src/validphys/fitdata.py +++ b/validphys2/src/validphys/fitdata.py @@ -298,6 +298,32 @@ def print_different_cuts(fits, test_for_same_cuts): return res.getvalue() +def fit_theory_covmat_summary(fit, fitthcovmat): + """returns a table with a single column for the `fit`, with three rows + indicating if the theory covariance matrix was used in the 'sampling' of the pseudodata, + the 'fitting', and the 'validphys statistical estimators' in the current namespace for that fit. + """ + try: + config = fit.as_input()['theorycovmatconfig'] + except KeyError: + config = {'use_thcovmat_in_sampling': False, 'use_thcovmat_in_fitting': False} + sampling = config.get('use_thcovmat_in_sampling', False) + fitting = config.get('use_thcovmat_in_fitting', False) + report = (True if fitthcovmat else False) + df = pd.DataFrame( + [sampling, fitting, report], + columns=[fit.name], + index=['sampling', 'fitting', 'validphys statistical estimators']) + return df + +fits_theory_covmat_summary = collect('fit_theory_covmat_summary', ('fits',)) + +@table +def summarise_theory_covmat_fits(fits_theory_covmat_summary): + """Collects the theory covmat summary for all fits and concatenates them into a single table""" + return pd.concat(fits_theory_covmat_summary, axis=1) + + def _get_fitted_index(pdf, i): """Return the nnfit index for the replcia i""" p = pathlib.Path(pdf.infopath).with_name(f'{pdf.name}_{i:04d}.dat') diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 11802648ea..0c0605e2dd 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -20,7 +20,9 @@ from reportengine import collect from validphys.checks import (check_cuts_considered, check_pdf_is_montecarlo, - check_speclabels_different, check_two_dataspecs) + check_speclabels_different, check_two_dataspecs, + check_dataset_cuts_match_theorycovmat, + check_experiment_cuts_match_theorycovmat) from validphys.core import DataSetSpec, PDF, ExperimentSpec, ThCovMatSpec from validphys.calcutils import (all_chi2, central_chi2, calc_chi2, calc_phi, bootstrap_values, get_df_block) @@ -358,6 +360,7 @@ def closure_pseudodata_replicas(experiments, pdf, nclosure:int, return df #TODO: Add check here that dataset appears in fitthcovmat (if true) and that cuts match +@check_dataset_cuts_match_theorycovmat def covariance_matrix(dataset:DataSetSpec, fitthcovmat, t0set:(PDF, type(None)) = None): """Returns a tuple of Covariance matrix and sqrt covariance matrix for the given dataset which includes theory contribution from scale variations if `use_theorycovmat` is True and @@ -382,8 +385,9 @@ def covariance_matrix(dataset:DataSetSpec, fitthcovmat, t0set:(PDF, type(None)) sqrtcovmat = loaded_data.get_sqrtcovmat() return covmat, sqrtcovmat +@check_experiment_cuts_match_theorycovmat def experiment_covariance_matrix( - experiment: ExperimentSpec, fitthcovmat, t0set:(PDF, type(None)) = None): + experiment: ExperimentSpec, fitthcovmat, t0set:(PDF, type(None)) = None): """Like `covariance_matrix` except for an experiment""" loaded_data = experiment.load() @@ -405,7 +409,11 @@ def experiment_covariance_matrix( return covmat, sqrtcovmat def results(dataset:(DataSetSpec), pdf:PDF, covariance_matrix): - """Tuple of data and theory results for a single pdf. + """Tuple of data and theory results for a single pdf. The data will have an associated + covariance matrix, which can include a contribution from the theory covariance matrix which + is constructed from scale variation. The inclusion of this covariance matrix by default is used + where available, however this behaviour can be modified with the flag `use_theorycovmat`. + The theory is specified as part of the dataset. An experiment is also allowed. (as a result of the C++ code layout).""" From 685e466f3264f69169a6d247b0cd8b2b4ca62afb Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 24 Apr 2019 14:06:26 +0100 Subject: [PATCH 276/429] change default value of use_thcovmat_if_present to be False --- validphys2/src/validphys/config.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index f6d7dbeaee..05c9a53643 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -696,11 +696,10 @@ def res(*args, **kwargs): return res def produce_fitthcovmat( - self, use_thcovmat_if_present: bool = True, fit: (str, type(None)) = None): + self, use_thcovmat_if_present: bool = False, fit: (str, type(None)) = None): """If a `fit` is specified and `use_thcovmat_if_present` is `True` then returns the corresponding covariance matrix for the given fit if it exists. If the fit doesn't have a - theory covariance matrix then returns `False`. If no fit is specified then returns the user - must manually set `use_thcovmat_if_present` to be False, or provide an appropriate fit. + theory covariance matrix then returns `False`. """ if not isinstance(use_thcovmat_if_present, bool): raise ConfigError("use_thcovmat_if_present should be a boolean, by default it is True") From a9eb4d530d1a6ea567ea4418691ece7d80c45f9e Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Wed, 24 Apr 2019 16:25:24 +0200 Subject: [PATCH 277/429] Fixed registeredCfactors --- nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat | 258 +++++++++--------- 1 file changed, 129 insertions(+), 129 deletions(-) diff --git a/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat index a9ca1a2408..cacd3edcc1 100644 --- a/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat +++ b/nnpdfcpp/data/NNLOCFAC/registeredCFactors.dat @@ -1,138 +1,138 @@ -DEUT BCDMSD BCDMSD -DEUT NMCPD NMCPD -DEUT SLACD SLACD -MMHT CMSDY2D12 CMSDY2D12 -EWK ATLASLOMASSDY11 ATLASLOMASSDY11 -EWK ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT -EWK ATLASWZRAP36PB ATLASWZRAP36PB -EWK ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB -EWK ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB -EWK CMSDY2D11 CMSDY2D11 -EWK CMSDY2D12 CMSDY2D12 -EWK LHCBWZMU7TEV LHCBWZMU7TEV -EWK LHCBWZMU8TEV LHCBWZMU8TEV -EWK LHCBZ940PB LHCBZ940PB -EWK LHCBZEE2FB LHCBZEE2FB -NRM ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB -NRM ATLASZPT7TEV ATLASZPT7TEV -NRM ATLASZPT7TEV_PTZ ATLASZPT7TEV -NRM ATLASZPT7TEV_TOT ATLASZPT7TEV MZ -NRM ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST -NRM ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST -NRM CMSZDIFF12 CMSZDIFF12 -NRM LHCBWZMU7TEV LHCBWZMU7TEV -NRM LHCBWZMU8TEV LHCBWZMU8TEV -NRM LHCBWZMU7TEV_PI LHCBWZMU7TEV -NRM LHCBWZMU8TEV_PI LHCBWZMU8TEV -QCD ATLAS1JET11 ATLAS1JET11 -QCD ATLAS1JET11_SF ATLAS1JET11_SF -QCD ATLASLOMASSDY11 ATLASLOMASSDY11 -QCD ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT -QCD ATLASR04JETS2P76TEV ATLASR04JETS2P76TEV -QCD ATLASR04JETS36PB ATLASR04JETS36PB -QCD ATLASR06JETS36PB ATLASR06JETS36PB -QCD ATLASTOPDIFF8TEVTPT ATLASTOPDIFF8TEVTPT -QCD ATLASTOPDIFF8TEVTRAP ATLASTOPDIFF8TEVTRAP -QCD ATLASTOPDIFF8TEVTTM ATLASTOPDIFF8TEVTTM -QCD ATLASTOPDIFF8TEVTTPT ATLASTOPDIFF8TEVTTPT -QCD ATLASTOPDIFF8TEVTTRAP ATLASTOPDIFF8TEVTTRAP -QCD ATLASTOPDIFF8TEVTPT_NUM ATLASTOPDIFF8TEVTPTNORM -QCD ATLASTOPDIFF8TEVTTPT_NUM ATLASTOPDIFF8TEVTTPTNORM -QCD ATLASTOPDIFF8TEVTRAP_NUM ATLASTOPDIFF8TEVTRAPNORM -QCD ATLASTOPDIFF8TEVTTRAP_NUM ATLASTOPDIFF8TEVTTRAPNORM -QCD ATLASTOPDIFF8TEVTTM_NUM ATLASTOPDIFF8TEVTTMNORM -QCD ATLASTOPDIFF8TEVTPT_DEN ATLASTOPDIFF8TEVTPTNORM MT +DEUT BCDMSD BCDMSD +DEUT NMCPD NMCPD +DEUT SLACD SLACD +MMHT CMSDY2D12 CMSDY2D12 +EWK ATLASLOMASSDY11 ATLASLOMASSDY11 +EWK ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT +EWK ATLASWZRAP36PB ATLASWZRAP36PB +EWK ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB +EWK ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB +EWK CMSDY2D11 CMSDY2D11 +EWK CMSDY2D12 CMSDY2D12 +EWK LHCBWZMU7TEV LHCBWZMU7TEV +EWK LHCBWZMU8TEV LHCBWZMU8TEV +EWK LHCBZ940PB LHCBZ940PB +EWK LHCBZEE2FB LHCBZEE2FB +NRM ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB +NRM ATLASZPT7TEV ATLASZPT7TEV +NRM ATLASZPT7TEV_PTZ ATLASZPT7TEV +NRM ATLASZPT7TEV_TOT ATLASZPT7TEV MZ +NRM ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST +NRM ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST +NRM CMSZDIFF12 CMSZDIFF12 +NRM LHCBWZMU7TEV LHCBWZMU7TEV +NRM LHCBWZMU8TEV LHCBWZMU8TEV +NRM LHCBWZMU7TEV_PI LHCBWZMU7TEV +NRM LHCBWZMU8TEV_PI LHCBWZMU8TEV +QCD ATLAS1JET11 ATLAS1JET11 +QCD ATLAS1JET11_SF ATLAS1JET11_SF +QCD ATLASLOMASSDY11 ATLASLOMASSDY11 +QCD ATLASLOMASSDY11EXT ATLASLOMASSDY11EXT +QCD ATLASR04JETS2P76TEV ATLASR04JETS2P76TEV +QCD ATLASR04JETS36PB ATLASR04JETS36PB +QCD ATLASR06JETS36PB ATLASR06JETS36PB +QCD ATLASTOPDIFF8TEVTPT ATLASTOPDIFF8TEVTPT +QCD ATLASTOPDIFF8TEVTRAP ATLASTOPDIFF8TEVTRAP +QCD ATLASTOPDIFF8TEVTTM ATLASTOPDIFF8TEVTTM +QCD ATLASTOPDIFF8TEVTTPT ATLASTOPDIFF8TEVTTPT +QCD ATLASTOPDIFF8TEVTTRAP ATLASTOPDIFF8TEVTTRAP +QCD ATLASTOPDIFF8TEVTPT_NUM ATLASTOPDIFF8TEVTPTNORM +QCD ATLASTOPDIFF8TEVTTPT_NUM ATLASTOPDIFF8TEVTTPTNORM +QCD ATLASTOPDIFF8TEVTRAP_NUM ATLASTOPDIFF8TEVTRAPNORM +QCD ATLASTOPDIFF8TEVTTRAP_NUM ATLASTOPDIFF8TEVTTRAPNORM +QCD ATLASTOPDIFF8TEVTTM_NUM ATLASTOPDIFF8TEVTTMNORM +QCD ATLASTOPDIFF8TEVTPT_DEN ATLASTOPDIFF8TEVTPTNORM MT QCD ATLASTOPDIFF8TEVTTPT_DEN ATLASTOPDIFF8TEVTTPTNORM MT -QCD ATLASTOPDIFF8TEVTRAP_DEN ATLASTOPDIFF8TEVTRAPNORM MT -QCD ATLASTOPDIFF8TEVTTRAP_DEN ATLASTOPDIFF8TEVTTRAPNORM MT -QCD ATLASTOPDIFF8TEVTTM_DEN ATLASTOPDIFF8TEVTTMNORM MT -QCD ATLASTTBARTOT ATLASTTBARTOT -QCD ATLASTTBARTOT13TEV ATLASTTBARTOT13TEV -QCD ATLASTTBARTOT7TEV ATLASTTBARTOT7TEV -QCD ATLASTTBARTOT8TEV ATLASTTBARTOT8TEV -QCD ATLASWZRAP11 ATLASWZRAP11 -QCD ATLASWZRAP11CC ATLASWZRAP11CC -QCD ATLASWZRAP11CF ATLASWZRAP11CF -QCD ATLASWZRAP36PB ATLASWZRAP36PB -QCD ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB -QCD ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB -QCD ATLASZPT7TEV_PTZ ATLASZPT7TEV -QCD ATLASZPT7TEV_TOT ATLASZPT7TEV MZ -QCD ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST -QCD ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST -QCD CDFR2KT CDFR2KT -QCD CDFZRAP CDFZRAP -QCD CMSDY2D11 CMSDY2D11 -QCD CMSDY2D12 CMSDY2D12 -QCD CMSJETS11 CMSJETS11 -QCD CMSJETS11_SF CMSJETS11_SF -QCD CMSTOPDIFF8TEVTPT CMSTOPDIFF8TEVTPT -QCD CMSTOPDIFF8TEVTRAP CMSTOPDIFF8TEVTRAP -QCD CMSTOPDIFF8TEVTTM CMSTOPDIFF8TEVTTM -QCD CMSTOPDIFF8TEVTTPT CMSTOPDIFF8TEVTTPT -QCD CMSTOPDIFF8TEVTTRAP CMSTOPDIFF8TEVTTRAP -QCD CMSTOPDIFF8TEVTPT_NUM CMSTOPDIFF8TEVTPT -QCD CMSTOPDIFF8TEVTTPT_NUM CMSTOPDIFF8TEVTTPT -QCD CMSTOPDIFF8TEVTRAP_NUM CMSTOPDIFF8TEVTRAP -QCD CMSTOPDIFF8TEVTTRAP_NUM CMSTOPDIFF8TEVTTRAP -QCD CMSTOPDIFF8TEVTTM_NUM CMSTOPDIFF8TEVTTM -QCD CMSTOPDIFF8TEVTPT_DEN CMSTOPDIFF8TEVTPTNORM MT -QCD CMSTOPDIFF8TEVTTPT_DEN CMSTOPDIFF8TEVTTPTNORM MT -QCD CMSTOPDIFF8TEVTRAP_DEN CMSTOPDIFF8TEVTRAPNORM MT -QCD CMSTOPDIFF8TEVTTRAP_DEN CMSTOPDIFF8TEVTTRAPNORM MT -QCD CMSTOPDIFF8TEVTTM_DEN CMSTOPDIFF8TEVTTMNORM MT -QCD CMSTTBARTOT CMSTTBARTOT -QCD CMSTTBARTOT13TEV CMSTTBARTOT13TEV -QCD CMSTTBARTOT7TEV CMSTTBARTOT7TEV -QCD CMSTTBARTOT8TEV CMSTTBARTOT8TEV -QCD CMSWEASY840PB_WM CMSWEASY840PB -QCD CMSWEASY840PB_WP CMSWEASY840PB -QCD CMSWMASY47FB_WM CMSWMASY47FB -QCD CMSWMASY47FB_WP CMSWMASY47FB -QCD CMSWMU8TEV CMSWMU8TEV -QCD CMSZDIFF12 CMSZDIFF12 -QCD D0WEASY_WM D0WEASY -QCD D0WEASY_WP D0WEASY -QCD D0WMASY_WM D0WMASY -QCD D0WMASY_WP D0WMASY -QCD D0ZRAP D0ZRAP -QCD D0ZRAP_TOT D0ZRAP MZ -QCD DYE605 DYE605 -QCD DYE886P DYE886P -QCD LHCBW36PB LHCBW36PB -QCD LHCBWMU1FB LHCBWMU1FB -QCD LHCBWZMU7TEV LHCBWZMU7TEV -QCD LHCBWZMU8TEV LHCBWZMU8TEV -QCD LHCBZ940PB LHCBZ940PB -QCD LHCBZEE2FB LHCBZEE2FB -QCD TTBARTOT TTBARTOT -QCD ATLASPHT12 ATLASPHT12 -QCD CMS_SINGLETOP_TCH_R_7TEV_T CMS_SINGLETOP_TCH_TOT_7TEV -QCD CMS_SINGLETOP_TCH_R_7TEV_TB CMS_SINGLETOP_TCH_TOT_7TEV -QCD CMS_SINGLETOP_TCH_R_8TEV_T CMS_SINGLETOP_TCH_R_8TEV -QCD CMS_SINGLETOP_TCH_R_8TEV_TB CMS_SINGLETOP_TCH_R_8TEV -QCD CMS_SINGLETOP_TCH_R_13TEV_T CMS_SINGLETOP_TCH_R_13TEV -QCD CMS_SINGLETOP_TCH_R_13TEV_TB CMS_SINGLETOP_TCH_R_13TEV -QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT -QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP -QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT -QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP -QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM -QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM -QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM -QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM +QCD ATLASTOPDIFF8TEVTRAP_DEN ATLASTOPDIFF8TEVTRAPNORM MT +QCD ATLASTOPDIFF8TEVTTRAP_DEN ATLASTOPDIFF8TEVTTRAPNORM MT +QCD ATLASTOPDIFF8TEVTTM_DEN ATLASTOPDIFF8TEVTTMNORM MT +QCD ATLASTTBARTOT ATLASTTBARTOT +QCD ATLASTTBARTOT13TEV ATLASTTBARTOT13TEV +QCD ATLASTTBARTOT7TEV ATLASTTBARTOT7TEV +QCD ATLASTTBARTOT8TEV ATLASTTBARTOT8TEV +QCD ATLASWZRAP11 ATLASWZRAP11 +QCD ATLASWZRAP11CC ATLASWZRAP11CC +QCD ATLASWZRAP11CF ATLASWZRAP11CF +QCD ATLASWZRAP36PB ATLASWZRAP36PB +QCD ATLASWZTOT13TEV81PB ATLASWZTOT13TEV81PB +QCD ATLASZHIGHMASS49FB ATLASZHIGHMASS49FB +QCD ATLASZPT7TEV_PTZ ATLASZPT7TEV +QCD ATLASZPT7TEV_TOT ATLASZPT7TEV MZ +QCD ATLASZPT8TEVMDIST ATLASZPT8TEVMDIST +QCD ATLASZPT8TEVYDIST ATLASZPT8TEVYDIST +QCD CDFR2KT CDFR2KT +QCD CDFZRAP CDFZRAP +QCD CMSDY2D11 CMSDY2D11 +QCD CMSDY2D12 CMSDY2D12 +QCD CMSJETS11 CMSJETS11 +QCD CMSJETS11_SF CMSJETS11_SF +QCD CMSTOPDIFF8TEVTPT CMSTOPDIFF8TEVTPT +QCD CMSTOPDIFF8TEVTRAP CMSTOPDIFF8TEVTRAP +QCD CMSTOPDIFF8TEVTTM CMSTOPDIFF8TEVTTM +QCD CMSTOPDIFF8TEVTTPT CMSTOPDIFF8TEVTTPT +QCD CMSTOPDIFF8TEVTTRAP CMSTOPDIFF8TEVTTRAP +QCD CMSTOPDIFF8TEVTPT_NUM CMSTOPDIFF8TEVTPT +QCD CMSTOPDIFF8TEVTTPT_NUM CMSTOPDIFF8TEVTTPT +QCD CMSTOPDIFF8TEVTRAP_NUM CMSTOPDIFF8TEVTRAP +QCD CMSTOPDIFF8TEVTTRAP_NUM CMSTOPDIFF8TEVTTRAP +QCD CMSTOPDIFF8TEVTTM_NUM CMSTOPDIFF8TEVTTM +QCD CMSTOPDIFF8TEVTPT_DEN CMSTOPDIFF8TEVTPTNORM MT +QCD CMSTOPDIFF8TEVTTPT_DEN CMSTOPDIFF8TEVTTPTNORM MT +QCD CMSTOPDIFF8TEVTRAP_DEN CMSTOPDIFF8TEVTRAPNORM MT +QCD CMSTOPDIFF8TEVTTRAP_DEN CMSTOPDIFF8TEVTTRAPNORM MT +QCD CMSTOPDIFF8TEVTTM_DEN CMSTOPDIFF8TEVTTMNORM MT +QCD CMSTTBARTOT CMSTTBARTOT +QCD CMSTTBARTOT13TEV CMSTTBARTOT13TEV +QCD CMSTTBARTOT7TEV CMSTTBARTOT7TEV +QCD CMSTTBARTOT8TEV CMSTTBARTOT8TEV +QCD CMSWEASY840PB_WM CMSWEASY840PB +QCD CMSWEASY840PB_WP CMSWEASY840PB +QCD CMSWMASY47FB_WM CMSWMASY47FB +QCD CMSWMASY47FB_WP CMSWMASY47FB +QCD CMSWMU8TEV CMSWMU8TEV +QCD CMSZDIFF12 CMSZDIFF12 +QCD D0WEASY_WM D0WEASY +QCD D0WEASY_WP D0WEASY +QCD D0WMASY_WM D0WMASY +QCD D0WMASY_WP D0WMASY +QCD D0ZRAP D0ZRAP +QCD D0ZRAP_TOT D0ZRAP MZ +QCD DYE605 DYE605 +QCD DYE886P DYE886P +QCD LHCBW36PB LHCBW36PB +QCD LHCBWMU1FB LHCBWMU1FB +QCD LHCBWZMU7TEV LHCBWZMU7TEV +QCD LHCBWZMU8TEV LHCBWZMU8TEV +QCD LHCBZ940PB LHCBZ940PB +QCD LHCBZEE2FB LHCBZEE2FB +QCD TTBARTOT TTBARTOT +QCD ATLASPHT12 ATLASPHT12 +QCD CMS_SINGLETOP_TCH_R_7TEV_T CMS_SINGLETOP_TCH_TOT_7TEV +QCD CMS_SINGLETOP_TCH_R_7TEV_TB CMS_SINGLETOP_TCH_TOT_7TEV +QCD CMS_SINGLETOP_TCH_R_8TEV_T CMS_SINGLETOP_TCH_R_8TEV +QCD CMS_SINGLETOP_TCH_R_8TEV_TB CMS_SINGLETOP_TCH_R_8TEV +QCD CMS_SINGLETOP_TCH_R_13TEV_T CMS_SINGLETOP_TCH_R_13TEV +QCD CMS_SINGLETOP_TCH_R_13TEV_TB CMS_SINGLETOP_TCH_R_13TEV +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_PT_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_PT_NORM QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM QCD ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM -QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT -QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP -QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP -QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM -QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM -QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM -QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_PT_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM +QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM_DEN ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_PT_NORM QCD ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM_NUM ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM From baf5865b217f0ef67d7cc61346cf0c4a739125c1 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 26 Apr 2019 16:29:20 +0100 Subject: [PATCH 278/429] changed produce_fitthcovmat to be more readable including extra variable names, outputs either None or a ThCovMatSpec --- validphys2/src/validphys/config.py | 16 ++++++++------ validphys2/src/validphys/fitdata.py | 5 +---- validphys2/src/validphys/results.py | 33 +++++++++++++++++------------ 3 files changed, 29 insertions(+), 25 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 05c9a53643..af35cbbaf9 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -702,7 +702,7 @@ def produce_fitthcovmat( theory covariance matrix then returns `False`. """ if not isinstance(use_thcovmat_if_present, bool): - raise ConfigError("use_thcovmat_if_present should be a boolean, by default it is True") + raise ConfigError("use_thcovmat_if_present should be a boolean, by default it is False") if use_thcovmat_if_present and not fit: raise ConfigError("`use_thcovmat_if_present` was true but no `fit` was specified.") @@ -717,17 +717,19 @@ def produce_fitthcovmat( "`use_thcovmat_in_fitting` didn't exist in the runcard for " f"{fit.name}. Theory covariance matrix will not be used " "in any statistical estimators.") - use_thcovmat_if_present = False + fit_theory_covmat = None #Now set as expected path and check it exists if use_thcovmat_if_present: - use_thcovmat_if_present = ( + covmat_path = ( fit.path/'tables'/'datacuts_theory_theorycovmatconfig_theory_covmat.csv') - if not os.path.exists(use_thcovmat_if_present): + if not os.path.exists(covmat_path): raise ConfigError( "Fit appeared to use theory covmat in fit but the file was not at the " - f"usual location: {use_thcovmat_if_present}.") - use_thcovmat_if_present = ThCovMatSpec(use_thcovmat_if_present) - return use_thcovmat_if_present + f"usual location: {covmat_path}.") + fit_theory_covmat = ThCovMatSpec(covmat_path) + else: + fit_theory_covmat = None + return fit_theory_covmat def parse_speclabel(self, label:(str, type(None))): """A label for a dataspec. To be used in some plots""" diff --git a/validphys2/src/validphys/fitdata.py b/validphys2/src/validphys/fitdata.py index 2de1573470..712aa2a738 100644 --- a/validphys2/src/validphys/fitdata.py +++ b/validphys2/src/validphys/fitdata.py @@ -165,9 +165,6 @@ def fit_summary(fit_label, replica_data, total_experiments_chi2data): def summarise_fits(collected_fit_summaries): """ Produces a table of basic comparisons between fits, includes all the fields used in fit_summary """ - log.warning("Using `collected_fit_summaries` which collects over `experiments` defined in fit " - "can affect construction of total covariance matrix, this will be deprecated " - "and should be changed to collect over `data` when that keyword is implemented") return pd.concat(collected_fit_summaries, axis=1) @@ -309,7 +306,7 @@ def fit_theory_covmat_summary(fit, fitthcovmat): config = {'use_thcovmat_in_sampling': False, 'use_thcovmat_in_fitting': False} sampling = config.get('use_thcovmat_in_sampling', False) fitting = config.get('use_thcovmat_in_fitting', False) - report = (True if fitthcovmat else False) + report = bool(fitthcovmat) df = pd.DataFrame( [sampling, fitting, report], columns=[fit.name], diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 0c0605e2dd..884c5812a1 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -689,28 +689,33 @@ def dataset_chi2_table(chi2_stats, dataset): fits_experiments = collect( 'experiments', ('fits', 'experiments_from_plotting_withcontext',)) -def fit_label(fit, fitthcovmat): +def fit_name_with_covmat_label(fit, fitthcovmat): + """If theory covariance matrix is being used to calculate statistical estimators for the `fit` + then appends (exp + th) onto the fit name for use in legends and column headers to help the user + see what covariance matrix was used to produce the plot or table they are looking at. + """ if fitthcovmat: label = str(fit) + " (exp + th)" else: label = str(fit) return label -fits_label = collect('fit_label', ('fits',)) +fits_name_with_covmat_label = collect('fit_name_with_covmat_label', ('fits',)) #TODO: Possibly get rid of the per_point_data parameter and have separate #actions for absolute and relative tables. @table -def fits_experiments_chi2_table(fits_label, fits_experiments, fits_experiment_chi2_data, - per_point_data:bool=True): +def fits_experiments_chi2_table(fits_name_with_covmat_label, fits_experiments, + fits_experiment_chi2_data, per_point_data:bool=True): """A table with the chi2 for each included experiment in the fits, computed with the theory corresponding to each fit. If points_per_data is True, the chi² will be shown divided by ndata. Otherwise they will be absolute.""" dfs = [] cols = ('ndata', r'$\chi^2/ndata$') if per_point_data else ('ndata', r'$\chi^2$') - for label, experiments, exps_chi2 in zip(fits_label, fits_experiments, fits_experiment_chi2_data): + for label, experiments, exps_chi2 in zip( + fits_name_with_covmat_label, fits_experiments, fits_experiment_chi2_data): records = [] for experiment, exp_chi2 in zip(experiments, exps_chi2): mean_chi2 = exp_chi2.central_result.mean() @@ -736,13 +741,14 @@ def fits_experiments_chi2_table(fits_label, fits_experiments, fits_experiment_ch 'experiments_phi', ('fits', 'experiments_from_plotting_withcontext')) @table -def fits_experiments_phi_table(fits_label, fits_experiments, fits_experiments_phi): +def fits_experiments_phi_table(fits_name_with_covmat_label, fits_experiments, fits_experiments_phi): """For every fit, returns phi and number of data points per experiment, where experiment is a collection of datasets grouped according to the experiment key in the PLOTTING info file """ dfs = [] cols = ('ndata', r'$\phi$') - for label, experiments, exps_phi in zip(fits_label, fits_experiments, fits_experiments_phi): + for label, experiments, exps_phi in zip( + fits_name_with_covmat_label, fits_experiments, fits_experiments_phi): records = [] for experiment, (exp_phi, npoints) in zip(experiments, exps_phi): npoints = npoints @@ -774,7 +780,7 @@ def dataspecs_experiments_chi2_table(dataspecs_speclabel, dataspecs_experiments, @table -def fits_datasets_chi2_table(fits_label, fits_experiments, fits_chi2_data, +def fits_datasets_chi2_table(fits_name_with_covmat_label, fits_experiments, fits_chi2_data, per_point_data:bool=True): """A table with the chi2 for each included dataset in the fits, computed with the theory corresponding to the fit. The result are indexed in two @@ -787,7 +793,7 @@ def fits_datasets_chi2_table(fits_label, fits_experiments, fits_chi2_data, cols = ('ndata', r'$\chi^2/ndata$') if per_point_data else ('ndata', r'$\chi^2$') dfs = [] - for label, experiments in zip(fits_label, fits_experiments): + for label, experiments in zip(fits_name_with_covmat_label, fits_experiments): records = [] for experiment in experiments: for dataset, chi2 in zip(experiment.datasets, chi2_it): @@ -844,11 +850,10 @@ def fits_chi2_table( for lv in lvs: dfs.append(pd.concat((edf.loc[lv],ddf.loc[lv]), copy=False, axis=0)) if show_total: - log.warning("Using `fits_total_chi2_data` which collects over `experiments` defined in fit " - "can affect construction of total covariance matrix, this will be deprecated " - "and should be changed to collect over `data` when that keyword is implemented") - total_points = np.array([total_chi2_data.ndata for total_chi2_data in fits_total_chi2_data]) - total_chi = np.array([total_chi2_data.central_result for total_chi2_data in fits_total_chi2_data]) + total_points = np.array( + [total_chi2_data.ndata for total_chi2_data in fits_total_chi2_data]) + total_chi = np.array( + [total_chi2_data.central_result for total_chi2_data in fits_total_chi2_data]) total_chi /= total_points row = np.zeros(len(total_points)*2) row[::2] = total_points From 1d2dc7a1af1d88daaafbd0b6070ce5cd5e258a78 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 26 Apr 2019 17:44:51 +0100 Subject: [PATCH 279/429] added documentation for running fit and report with th covmat adapted from https://www.wiki.ed.ac.uk/download/attachments/58984316/Theory_covariance_module_documentation.pdf?version=1&modificationDate=1553184077000&api=v2 --- doc/validphys2/guide.md | 222 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 222 insertions(+) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index b19109d8ea..5f847f29f6 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -1942,6 +1942,228 @@ In addition, errors will be raised if the input directory is not a valid fit (fo If the user wishes to add their own, non-standard files, then it is advisable to avoid using the fit name in these files as the `fitrename` command will also rename these files. +### Fits with a Theory Covariance Matrix + +Fits can be ran with a contribution to the covarince matrix obtained from performing scale +variations. `validphys` also has flags which control the how whether the covariance matrix used to +calculate statistical estimators should include a contribution from the theory covariance matrix. +Getting the various flags that control these behaviours correct in both fit and `validphys` runcards +is critical to getting sensible results. Examples with explanation will be provided here to +demonstrate how to run a fit with a theory covariance matrix and then use the various `validphys` +analysis tools on the fit. + +#### Running a fit with Theory Covariance Matrix + +In order to run a fit with a theory covariance the user must first specify that `datasets` are all +part of the same `experiment`. An example of how this is done in practise is provided with the +`experiments` section of a DIS only fit runcard: + +``` +experiments: +- experiment: BIGEXP + datasets: + - {dataset: NMCPD, frac: 0.5} + - {dataset: NMC, frac: 0.5} + - {dataset: SLACP, frac: 0.5} + - {dataset: SLACD, frac: 0.5} + - {dataset: BCDMSP, frac: 0.5} + - {dataset: BCDMSD, frac: 0.5} + - {dataset: CHORUSNU, frac: 0.5} + - {dataset: CHORUSNB, frac: 0.5} + - {dataset: NTVNUDMN, frac: 0.5} + - {dataset: NTVNBDMN, frac: 0.5} + - {dataset: HERACOMBNCEM, frac: 0.5} + - {dataset: HERACOMBNCEP460, frac: 0.5} + - {dataset: HERACOMBNCEP575, frac: 0.5} + - {dataset: HERACOMBNCEP820, frac: 0.5} + - {dataset: HERACOMBNCEP920, frac: 0.5} + - {dataset: HERACOMBCCEM, frac: 0.5} + - {dataset: HERACOMBCCEP, frac: 0.5} + - {dataset: HERAF2CHARM, frac: 0.5} +``` + +The `datasets` must be part of the same single `experiment` for the theory covariance matrix which +is generated when the user runs `vp-setupfit` is compatible with the fitting infrastructure. + +The next step is to specify the `theorycovmatconfig`. This namespace controls what kind of scale +variation is used to generate the theory covariance matrix, and whether the theory covariance matrix +will be used in the sampling of the pseudodata, the fitting of the data or both. + +The different prescriptions for scale variation are 3-point, 5-point, 5bar-point, 7-point and +9-point, depending on which presciption the user decides to use, they must provide the correct +number and combination of `theoryids`. In addition to this if 5 or 5bar is being used then the user +must specify which of these prescriptions to use with the `fivetheories` flag. There are also two +options for the 7-point presciption, the default is 'Gavin's' prescription but the user can also +specify `seventheories: original`. + +The various configuration options might seem overwhelming, so for each of the presciptions the +appropriate `theoryids` and additional flags required are provided, and can be pasted into a report +runcard. + +--------------------------------------------------------------------- + +##### 3-point + +``` +theorycovmatconfig: + theoryids: + - 163 + - 180 + - 173 + +``` + +##### 5-point + +``` +theorycovmatconfig: + theoryids: + - 163 + - 177 + - 176 + - 179 + - 174 + fivetheories: nobar + +``` + +##### 5bar-point + +``` +theorycovmatconfig: + theoryids: + - 163 + - 180 + - 173 + - 175 + - 178 + fivetheories: bar + +``` + +##### 7-point original + +``` +theorycovmatconfig: + theoryids: + - 163 + - 177 + - 176 + - 179 + - 174 + - 180 + - 173 + seventheories: original +``` + +##### 7-point Gavin (default) + +``` +theorycovmatconfig: + theoryids: + - 163 + - 177 + - 176 + - 179 + - 174 + - 180 + - 173 + +``` + +##### 9-point + +``` +theorycovmatconfig: + theoryids: + - 163 + - 177 + - 176 + - 179 + - 174 + - 180 + - 173 + - 175 + - 178 +``` + +--------------------------------------------------------------------- + +Once the user has correctly specified the `theoryids` and additional flags for their chosen +prescription then the user must specify which PDF will be used to generate the predictions required +to construct the theory covariance matrix and where the theory covariance is to be used. The theory +covariance can be used to sample the pseudodata by setting `use_thcovmat_in_sampling: true`, +likewise the theory covariance can be included in covariance matrix used in the fit by specifying +`use_thcovmat_in_fitting: true`. + +Combining all of the above information, if one wanted to run a fit using the theory covariance, +calculated using the 9-point prescription, in both the fitting and sampling with +`NNPDF31_nlo_as_0118` used to generate the covariance matrix then the complete `theorycovmatconfig` +would be: + +``` +theorycovmatconfig: + theoryids: + - 163 + - 177 + - 176 + - 179 + - 174 + - 180 + - 173 + - 175 + - 178 + pdf: NNPDF31_nlo_as_0118 + use_thcovmat_in_fitting: true + use_thcovmat_in_sampling: true +``` + +#### Using `validphys` statistical estimators with theory covariance + +Once a fit has been ran with the theory covariance, it is necessary to use the theory covariance +matrix in estimators such as calculating the chi² in order to get meaningful values. This behaviour +is controlled by the flag `use_thcovmat_if_present`, which by default the flag is set to `False`. + +If the user specifies `use_thcovmat_if_present: True` then they must also specify a corresponding +`fit`. The configuration file for that `fit` will be read. If `use_thcovmat_in_fitting: true` then +validphys will locate the theory covariance matrix used during the fit and add it to the +experimental covariance matrix, for use in statistical estimators such as chi². A simple example of +this would be + +``` +dataset_input: {dataset: HERAF2CHARM} + +use_thcovmat_if_present: True + +fit: 190310-tg-nlo-global-7pts + +use_cuts: "fromfit" + +pdf: + from_: fit + +theory: + from_: fit + +theoryid: + from_: theory + +actions_: + - dataset_chi2_table +``` + +It should be noted that any `dataset_input` specified in the same runcard that +`use_thcovmat_if_present: True` must have been fitted in the corresponding `fit`. If the +corresponding fit has `use_thcovmat_if_present: False` then the user will be warned and there will +be no contribution from the theory covariance matrix used in calculating statistical estimators for +that runcard. + +Finally, the `use_thcovmat_if_present` flag can be specified at runtime when using the +`vp-comparefits` application. The user can either specify the commandline flag `--theory_cov` which +will set `use_thcovmat_if_present: True` or if the user instead uses the interactive mode +`vp-comparefits -i` then the user will be prompted to select whether or not to use the theory +covariance matrix, if available, in the report. + Parallel mode ------------- From 7a08692d72d2e2fe56e593ce2922c73332822eb8 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 29 Apr 2019 11:39:46 +0100 Subject: [PATCH 280/429] Addressing Luca's comments --- .../src/validphys/theorycovariance/tests.py | 22 +++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 0aab6f4b82..4cd1c95fcc 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -84,6 +84,8 @@ def dataspecs_dataset_theory(matched_dataspecs_results, experiment_name, dataset matched_dataspecs_dataset_theory = collect('dataspecs_dataset_theory', ['dataspecs']) def theory_vector(matched_dataspecs_dataset_theory): + """Returns a DataFrame of the central theory vector for + matched dataspecs.""" all_theory = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_theory]) dsnames = np.concatenate([ @@ -100,6 +102,9 @@ def theory_vector(matched_dataspecs_dataset_theory): return pd.DataFrame(all_theory, index=index) def dataspecs_dataset_alltheory(matched_dataspecs_results, experiment_name, dataset_name): + """Returns a LabeledShifts tuple corresponding to the theory + vectors for all the scale varied theories (not the central one), + grouped by data set and experiment for matched dataspecs.""" others = matched_dataspecs_results[1:] res = [other[1].central_value for other in others] return LabeledShifts(dataset_name=dataset_name, @@ -108,6 +113,8 @@ def dataspecs_dataset_alltheory(matched_dataspecs_results, experiment_name, data matched_dataspecs_dataset_alltheory = collect('dataspecs_dataset_alltheory', ['dataspecs']) def alltheory_vector(matched_dataspecs_dataset_alltheory, matched_dataspecs_dataset_theory): + """Returns a DataFrame with the theory vectors for matched + dataspecs for the scale-varied theories (not the central one).""" all_theory = np.concatenate( [val.shifts for val in matched_dataspecs_dataset_alltheory], axis=1) dsnames = np.concatenate([ @@ -254,12 +261,22 @@ def vectors_3pt(splitdiffs): xs.append(sum(pps)) # Constructing the p vectors with one minus # (-, +, + ...) + cyclic + # for each process i: for procloc, mm in enumerate(mms): + # Start with a copy of one (+,+) vector for dataframe structure newvec = pps[0].copy() + # Set all elements to 0 so the dataframe is empty newvec.loc[:]=0 + # Copy the set of vectors [(+,+)_1, (+,+)_2, ...], + # i.e. one vector for each process type subpps = pps.copy() + # Delete (+,+)_i from the list del subpps[procloc] + # Now add the corresponding (-,-)_i vector to all the other + # (+,+) vectors + # This gives one "(-, +, + ...) & cyclic" vector newvec = newvec + sum(subpps) + mm + # Append this vector to the list of vectors xs.append(newvec) return xs @@ -368,6 +385,7 @@ def vectors_9pt(splitdiffs): xs.append(sum(mps)) xs.append(sum(zps)) # Constructing (+/-/0; -, +, + ...) + cyclic + # -- Constructing (0; -, +, + ...) + cyclic for procloc, zm in enumerate(zms): newvec = zps[0].copy() newvec.loc[:] = 0 @@ -375,6 +393,7 @@ def vectors_9pt(splitdiffs): del subzps[procloc] newvec = newvec + sum(subzps) + zm xs.append(newvec) + # -- Constructing (+; -, +, + ...) + cyclic for procloc, pm in enumerate(pms): newvec = pps[0].copy() newvec.loc[:] = 0 @@ -382,6 +401,7 @@ def vectors_9pt(splitdiffs): del subpps[procloc] newvec = newvec + sum(subpps) + pm xs.append(newvec) + # -- Constructing (-; -, +, + ...) + cyclic for procloc, mm in enumerate(mms): newvec = mps[0].copy() newvec.loc[:] = 0 @@ -390,6 +410,7 @@ def vectors_9pt(splitdiffs): newvec = newvec + sum(submps) + mm xs.append(newvec) # Constructing (+/-; 0, +, +, ...) + cyclic + # -- Constructing (+; 0, +, + ...) + cyclic for procloc, pz in enumerate(pzs): newvec = pps[0].copy() newvec.loc[:] = 0 @@ -397,6 +418,7 @@ def vectors_9pt(splitdiffs): del subpps[procloc] newvec = newvec + sum(subpps) + pz xs.append(newvec) + # -- Constructing (-; 0, +, + ...) + cyclic for procloc, mz in enumerate(mzs): newvec = mps[0].copy() newvec.loc[:] = 0 From 78da3acb15e1031344aa2843fd6eac4b518be6d2 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 29 Apr 2019 14:06:40 +0100 Subject: [PATCH 281/429] adding docstrings for qr, gs, svd choice --- validphys2/src/validphys/theorycovariance/tests.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 4cd1c95fcc..8908d0d12c 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -437,7 +437,11 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, """Projects the theory covariance matrix from the data space into the basis of non-zero eigenvalues, dependent on point-prescription. Then returns the eigenvalues (w) and eigenvectors (v) - in the data space.""" + in the data space. There are three methods to linearly + orthonormalise the basis vectors for the covariance matrix, + and the choice must be specified using the "orthonormalisation" + flag in the runcard. The choices are: gs, the Gram-Schmidt + method; qr, QR decomposition; svd, singular value decomposition.""" covmat = (thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0]))) # constructing vectors of shifts due to scale variation @@ -494,9 +498,11 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, ys[i] = ys[i] - (ys[i].T.dot(ys[j]))[0][0]*ys[j]/np.linalg.norm(ys[j]) ys[i] = ys[i]/np.linalg.norm(ys[i]) p = pd.concat(ys, axis=1) + # Orthonormalising vectors according to singular value decomposition elif orthonormalisation == "svd": xsmatrix = pd.concat(xs, axis=1) p = la.orth(xsmatrix) + # Orthonormalising vectors according to QR decomposition elif orthonormalisation == "qr": xsmatrix = pd.concat(xs, axis=1) p = np.linalg.qr(xsmatrix)[0] From e7a9abb62ec4faddbdb0592c24f7b041fda0620a Mon Sep 17 00:00:00 2001 From: wilsonmr Date: Mon, 29 Apr 2019 15:15:38 +0100 Subject: [PATCH 282/429] updated guide, changed boolean flags for vp-comparefits to work, small fixes --- doc/validphys2/guide.md | 24 +++++++------ validphys2/src/validphys/config.py | 24 +++++++------ validphys2/src/validphys/fitdata.py | 4 +-- .../src/validphys/scripts/vp_comparefits.py | 35 ++++++++++++++----- 4 files changed, 54 insertions(+), 33 deletions(-) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index 5f847f29f6..8a1458f80e 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -1983,10 +1983,10 @@ experiments: ``` The `datasets` must be part of the same single `experiment` for the theory covariance matrix which -is generated when the user runs `vp-setupfit` is compatible with the fitting infrastructure. +is generated when the user runs `vp-setupfit` to be compatible with the fitting infrastructure. -The next step is to specify the `theorycovmatconfig`. This namespace controls what kind of scale -variation is used to generate the theory covariance matrix, and whether the theory covariance matrix +The next step is to specify the `theorycovmatconfig`. This namespace controls which point prescription +is used to generate the theory covariance matrix, and whether the theory covariance matrix will be used in the sampling of the pseudodata, the fitting of the data or both. The different prescriptions for scale variation are 3-point, 5-point, 5bar-point, 7-point and @@ -1997,7 +1997,7 @@ options for the 7-point presciption, the default is 'Gavin's' prescription but t specify `seventheories: original`. The various configuration options might seem overwhelming, so for each of the presciptions the -appropriate `theoryids` and additional flags required are provided, and can be pasted into a report +appropriate `theoryids` and additional flags required are provided below, ready to be pasted into a report runcard. --------------------------------------------------------------------- @@ -2090,8 +2090,8 @@ theorycovmatconfig: --------------------------------------------------------------------- Once the user has correctly specified the `theoryids` and additional flags for their chosen -prescription then the user must specify which PDF will be used to generate the predictions required -to construct the theory covariance matrix and where the theory covariance is to be used. The theory +prescription then the user must specify which PDF will be used to generate the theory 'points' required +to construct the theory covariance matrix. The user must additionally specify where the theory covariance is to be used. The theory covariance can be used to sample the pseudodata by setting `use_thcovmat_in_sampling: true`, likewise the theory covariance can be included in covariance matrix used in the fit by specifying `use_thcovmat_in_fitting: true`. @@ -2125,7 +2125,7 @@ matrix in estimators such as calculating the chi² in order to get meaningful va is controlled by the flag `use_thcovmat_if_present`, which by default the flag is set to `False`. If the user specifies `use_thcovmat_if_present: True` then they must also specify a corresponding -`fit`. The configuration file for that `fit` will be read. If `use_thcovmat_in_fitting: true` then +`fit`. The configuration file for that `fit` will be read. If `use_thcovmat_in_fitting: True` then validphys will locate the theory covariance matrix used during the fit and add it to the experimental covariance matrix, for use in statistical estimators such as chi². A simple example of this would be @@ -2159,10 +2159,12 @@ be no contribution from the theory covariance matrix used in calculating statist that runcard. Finally, the `use_thcovmat_if_present` flag can be specified at runtime when using the -`vp-comparefits` application. The user can either specify the commandline flag `--theory_cov` which -will set `use_thcovmat_if_present: True` or if the user instead uses the interactive mode -`vp-comparefits -i` then the user will be prompted to select whether or not to use the theory -covariance matrix, if available, in the report. +`vp-comparefits` application. The user **must** either specify the commandline flag `--thcovmat_if_present` +or `--no-thcovmat_if_present` which set `use_thcovmat_if_present` to `True` or `False` respectively. + +If the user uses the interactive mode, `vp-comparefits -i`, then they will be prompted to select +whether or not to use the theory covariance matrix, if available, in the report if they have +not already specified on the command line. Parallel mode ------------- diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index af35cbbaf9..57f9a234e7 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -709,7 +709,7 @@ def produce_fitthcovmat( if use_thcovmat_if_present and fit: try: - use_thcovmat_if_present = fit.as_input()[ + thcovmat_present = fit.as_input()[ 'theorycovmatconfig']['use_thcovmat_in_fitting'] except KeyError: #assume covmat wasn't used and fill in key accordingly but warn user @@ -717,16 +717,18 @@ def produce_fitthcovmat( "`use_thcovmat_in_fitting` didn't exist in the runcard for " f"{fit.name}. Theory covariance matrix will not be used " "in any statistical estimators.") - fit_theory_covmat = None - #Now set as expected path and check it exists - if use_thcovmat_if_present: - covmat_path = ( - fit.path/'tables'/'datacuts_theory_theorycovmatconfig_theory_covmat.csv') - if not os.path.exists(covmat_path): - raise ConfigError( - "Fit appeared to use theory covmat in fit but the file was not at the " - f"usual location: {covmat_path}.") - fit_theory_covmat = ThCovMatSpec(covmat_path) + thcovmat_present = False + + + if use_thcovmat_if_present and thcovmat_present: + # Expected path of covmat hardcoded + covmat_path = ( + fit.path/'tables'/'datacuts_theory_theorycovmatconfig_theory_covmat.csv') + if not os.path.exists(covmat_path): + raise ConfigError( + "Fit appeared to use theory covmat in fit but the file was not at the " + f"usual location: {covmat_path}.") + fit_theory_covmat = ThCovMatSpec(covmat_path) else: fit_theory_covmat = None return fit_theory_covmat diff --git a/validphys2/src/validphys/fitdata.py b/validphys2/src/validphys/fitdata.py index 712aa2a738..dded113ae3 100644 --- a/validphys2/src/validphys/fitdata.py +++ b/validphys2/src/validphys/fitdata.py @@ -120,7 +120,7 @@ def replica_data(fit, replica_paths): @table -def fit_summary(fit_label, replica_data, total_experiments_chi2data): +def fit_summary(fit_name_with_covmat_label, replica_data, total_experiments_chi2data): """ Summary table of fit properties - Central chi-squared - Average chi-squared @@ -157,7 +157,7 @@ def fit_summary(fit_label, replica_data, total_experiments_chi2data): (r"$<\chi^2>$", f"{VET(np.mean(member_chi2), np.std(member_chi2))}"), (r"$\phi$", f"{VET(phi, phi_err)}"))) - return pd.Series(data, index=data.keys(), name=fit_label) + return pd.Series(data, index=data.keys(), name=fit_name_with_covmat_label) collected_fit_summaries = collect('fit_summary', ('fits', 'fitcontext')) diff --git a/validphys2/src/validphys/scripts/vp_comparefits.py b/validphys2/src/validphys/scripts/vp_comparefits.py index 07462da8d0..0ff1671a06 100644 --- a/validphys2/src/validphys/scripts/vp_comparefits.py +++ b/validphys2/src/validphys/scripts/vp_comparefits.py @@ -67,14 +67,31 @@ def add_positional_arguments(self, parser): '--closure', help="Use the closure comparison template.", action='store_true') +# parser.add_argument( +# '--use_thcovmat_if_present', +# help="Use theory cov mat for calculating statistical estimators.", +# action='store_true') parser.add_argument( - '--theory_cov', - help="Use theory cov mat for calculating statistical estimators.") + '--thcovmat_if_present', + dest='thcovmat_if_present', + action='store_true', + help="Use theory cov mat for calculating statistical estimators if available.") + parser.add_argument( + '--no-thcovmat_if_present', + dest='thcovmat_if_present', + action='store_false', + help="Do not use theory cov mat for calculating statistical estimators.") + parser.set_defaults(thcovmat_if_present=None) def try_complete_args(self): args = self.args - argnames = ('base_fit', 'reference_fit', 'theory_cov', 'title', 'author', 'keywords') - bad = [argname for argname in argnames if not args[argname]] + argnames = ( + 'base_fit', 'reference_fit', 'title', 'author', 'keywords') + boolnames = ( + 'thcovmat_if_present',) + badargs = [argname for argname in argnames if not args[argname]] + badbools = [bname for bname in boolnames if args[bname] is None] + bad = badargs + badbools if bad and not args['interactive']: sys.exit(f"The following arguments are required: {bad}") try: @@ -84,7 +101,7 @@ def try_complete_args(self): raise KeyboardInterrupt() texts = '\n'.join( f' {argname.replace("_", " ").capitalize()}: {args[argname]}' - for argname in argnames) + for argname in [*argnames, *boolnames]) log.info(f"Starting NNPDF fit comparison:\n{texts}") def interactive_base_fit(self): @@ -126,11 +143,11 @@ def interactive_keywords(self): complete_in_thread=True) return [k.strip() for k in kwinp.split(',') if k] - def interactive_theory_cov(self): + def interactive_thcovmat_if_present(self): """Interactively fill in the `use_thcovmat_if_present` runcard flag. Which is True by default """ - message = ("Do you want to use the fitted covariance matrix (including theory covariance\n" - "matrix) to calculate the statistical estimators? ") + message = ("Do you want to use the theory covariance matrix, if available,\n" + "to calculate the statistical estimators? ") return confirm(message, default=True) def get_commandline_arguments(self, cmdline=None): @@ -178,7 +195,7 @@ def complete_mapping(self): }, 'speclabel': 'Reference Fit' } - autosettings['use_thcovmat_if_present'] = args['theory_cov'] + autosettings['use_thcovmat_if_present'] = args['thcovmat_if_present'] return autosettings From c53728d6e12a6eb34a5f8174a5d8a3d4962a5daf Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Tue, 30 Apr 2019 15:25:00 +0100 Subject: [PATCH 283/429] update docstring --- validphys2/src/validphys/theorycovariance/tests.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 8908d0d12c..860f00f6bd 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -441,7 +441,9 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, orthonormalise the basis vectors for the covariance matrix, and the choice must be specified using the "orthonormalisation" flag in the runcard. The choices are: gs, the Gram-Schmidt - method; qr, QR decomposition; svd, singular value decomposition.""" + method; qr, QR decomposition; svd, singular value decomposition. + QR is the method which should be used as standard; the others + exist for testing purposes.""" covmat = (thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0]))) # constructing vectors of shifts due to scale variation From 09aab3ecd07da70574d01eeee2ebee78cb0af0fc Mon Sep 17 00:00:00 2001 From: wilsonm Date: Tue, 12 Feb 2019 15:23:27 +0100 Subject: [PATCH 284/429] moved some of the api components to the api module, add functionality to use valipdhys actions directly from python interpreter --- validphys2/src/validphys/api.py | 80 ++++++++++++++++++++++++++++++ validphys2/src/validphys/app.py | 34 ++----------- validphys2/src/validphys/config.py | 6 +-- 3 files changed, 87 insertions(+), 33 deletions(-) create mode 100644 validphys2/src/validphys/api.py diff --git a/validphys2/src/validphys/api.py b/validphys2/src/validphys/api.py new file mode 100644 index 0000000000..11a23a8b07 --- /dev/null +++ b/validphys2/src/validphys/api.py @@ -0,0 +1,80 @@ +""" +api.py + +Interface module which allows the user to access the necessary reportengine technology +to call validphys providers with the same inputs as a validphys runcard from a python interpreter. + +Standard use case is something like: + +from validphys.api import API + +vp2 = API() +figure = vp2.plot_pdfs({'pdfs':['NNPDF31_nlo_as_0118], 'Q':1.65}) + + +""" +import logging +import importlib + +from validphys.loader import Loader, FallbackLoader, LoaderError +from validphys.config import Environment, Config +from reportengine.environment import EnvironmentError_ +from reportengine.resourcebuilder import ResourceBuilder +from reportengine.resourcebuilder import FuzzyTarget + +log = logging.getLogger(__name__) + +PROVIDERS = [ + 'validphys.results', + 'validphys.pdfgrids', + 'validphys.pdfplots', + 'validphys.dataplots', + 'validphys.fitdata', + 'validphys.arclength', + 'validphys.sumrules', + 'validphys.reweighting', + 'validphys.kinematics', + 'validphys.correlations', + 'validphys.chi2grids', + 'validphys.eff_exponents', + 'validphys.paramfits.dataops', + 'validphys.paramfits.plots', + 'validphys.theorycovariance', + 'validphys.replica_selector', + 'validphys.MCgen_checks', + 'validphys.closure', + 'validphys.api', + 'reportengine.report'] + +class API: + config_class = Config + environment_class = Environment + provider_names = PROVIDERS + + def __init__(self, **kwargs): + prov_list = [] + for prov in self.provider_names: + try: + mod = importlib.import_module(prov) + except ImportError: + log.error("Could not import module %s", mod) + raise + prov_list.append(mod) + self.provider_loaded = prov_list + self.loaderenv = Environment(**kwargs) + #TODO: should we set the style here somewhere? + + def __call__(self, actions: str, **kwargs): + fuzzytarg = [FuzzyTarget(actions, (), (), ())] + c = self.config_class(kwargs, environment=self.loaderenv) + builder = ResourceBuilder(c, self.provider_loaded, fuzzytarg) + builder.resolve_fuzzytargets() + builder.execute_sequential(perform_final=False) + res = builder.rootns[actions] + return res + + def __getattr__(self, name): + print(type(name)) + def closure(**kwargs): + return self.__call__(name, **kwargs) + return closure diff --git a/validphys2/src/validphys/app.py b/validphys2/src/validphys/app.py index 69199eb84a..86a7b127e2 100644 --- a/validphys2/src/validphys/app.py +++ b/validphys2/src/validphys/app.py @@ -17,39 +17,13 @@ from reportengine import app -from validphys.config import Config, Environment +from validphys import api from validphys import uploadutils from validphys import mplstyles - -providers = [ - 'validphys.results', - 'validphys.pdfgrids', - 'validphys.pdfplots', - 'validphys.dataplots', - 'validphys.fitdata', - 'validphys.arclength', - 'validphys.sumrules', - 'validphys.reweighting', - 'validphys.kinematics', - 'validphys.correlations', - 'validphys.chi2grids', - 'validphys.eff_exponents', - 'validphys.paramfits.dataops', - 'validphys.paramfits.plots', - 'validphys.theorycovariance', - 'validphys.replica_selector', - 'validphys.MCgen_checks', - 'validphys.closure', - 'reportengine.report' - ] - log = logging.getLogger(__name__) -class App(app.App): - - environment_class = Environment - config_class = Config +class App(api.API, app.App): critical_message = ( """A critical error ocurred. This is likely due to one of the following reasons: @@ -71,8 +45,8 @@ class App(app.App): def default_style(self): return os.fspath(mplstyles.smallstyle) - def __init__(self, name='validphys', providers=providers): - super().__init__(name, providers) + def __init__(self, name='validphys', providers=api.API.provider_names): + app.App.__init__(self, name, providers) @property def argparser(self): diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 9a21bf9de4..9c46c8ae10 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -36,10 +36,10 @@ class Environment(Environment): """Container for information to be filled at run time""" - def __init__(self,*, datapath=None, resultspath=None, this_folder, net=True, + def __init__(self,*, datapath=None, resultspath=None, this_folder=None, net=True, upload=False, **kwargs): - - self.this_folder = pathlib.Path(this_folder) + if this_folder: + self.this_folder = pathlib.Path(this_folder) if net: loader_class = FallbackLoader From 7bcd7b4c58c5ba9f90e4c2f1f894850f0bfe5136 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Thu, 21 Feb 2019 09:18:04 +0000 Subject: [PATCH 285/429] minor changes --- validphys2/src/validphys/api.py | 11 +++++------ validphys2/src/validphys/app.py | 6 ++---- 2 files changed, 7 insertions(+), 10 deletions(-) diff --git a/validphys2/src/validphys/api.py b/validphys2/src/validphys/api.py index 11a23a8b07..de7f4f5840 100644 --- a/validphys2/src/validphys/api.py +++ b/validphys2/src/validphys/api.py @@ -4,6 +4,9 @@ Interface module which allows the user to access the necessary reportengine technology to call validphys providers with the same inputs as a validphys runcard from a python interpreter. +Additionally the *provider modules* that serve as source to the validphys actions are +declared here. + Standard use case is something like: from validphys.api import API @@ -16,15 +19,13 @@ import logging import importlib -from validphys.loader import Loader, FallbackLoader, LoaderError from validphys.config import Environment, Config -from reportengine.environment import EnvironmentError_ from reportengine.resourcebuilder import ResourceBuilder from reportengine.resourcebuilder import FuzzyTarget log = logging.getLogger(__name__) -PROVIDERS = [ +providers = [ 'validphys.results', 'validphys.pdfgrids', 'validphys.pdfplots', @@ -49,11 +50,10 @@ class API: config_class = Config environment_class = Environment - provider_names = PROVIDERS def __init__(self, **kwargs): prov_list = [] - for prov in self.provider_names: + for prov in providers: try: mod = importlib.import_module(prov) except ImportError: @@ -62,7 +62,6 @@ def __init__(self, **kwargs): prov_list.append(mod) self.provider_loaded = prov_list self.loaderenv = Environment(**kwargs) - #TODO: should we set the style here somewhere? def __call__(self, actions: str, **kwargs): fuzzytarg = [FuzzyTarget(actions, (), (), ())] diff --git a/validphys2/src/validphys/app.py b/validphys2/src/validphys/app.py index 86a7b127e2..a94588f8f2 100644 --- a/validphys2/src/validphys/app.py +++ b/validphys2/src/validphys/app.py @@ -2,9 +2,7 @@ app.py Mainloop of the validphys application. Here we define tailoted extensions to -the reporthengine application (such as extra command line flags). Additionally -the *provider modules* that serve as source to the validphys actions are -declared here. +the reporthengine application (such as extra command line flags). The entry point of the validphys application is the ``main`` funcion of this module. @@ -45,7 +43,7 @@ class App(api.API, app.App): def default_style(self): return os.fspath(mplstyles.smallstyle) - def __init__(self, name='validphys', providers=api.API.provider_names): + def __init__(self, name='validphys', providers=api.providers): app.App.__init__(self, name, providers) @property From 150357ab64e8fcc870b689d2bb8ef63f64bcc581 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Mon, 4 Mar 2019 11:27:37 +0000 Subject: [PATCH 286/429] moved api changes up to reportengine, added api class to App module, since it just initializes the reportengine class with correct environment and config --- validphys2/src/validphys/api.py | 79 --------------------------------- validphys2/src/validphys/app.py | 36 +++++++++++++-- 2 files changed, 32 insertions(+), 83 deletions(-) delete mode 100644 validphys2/src/validphys/api.py diff --git a/validphys2/src/validphys/api.py b/validphys2/src/validphys/api.py deleted file mode 100644 index de7f4f5840..0000000000 --- a/validphys2/src/validphys/api.py +++ /dev/null @@ -1,79 +0,0 @@ -""" -api.py - -Interface module which allows the user to access the necessary reportengine technology -to call validphys providers with the same inputs as a validphys runcard from a python interpreter. - -Additionally the *provider modules* that serve as source to the validphys actions are -declared here. - -Standard use case is something like: - -from validphys.api import API - -vp2 = API() -figure = vp2.plot_pdfs({'pdfs':['NNPDF31_nlo_as_0118], 'Q':1.65}) - - -""" -import logging -import importlib - -from validphys.config import Environment, Config -from reportengine.resourcebuilder import ResourceBuilder -from reportengine.resourcebuilder import FuzzyTarget - -log = logging.getLogger(__name__) - -providers = [ - 'validphys.results', - 'validphys.pdfgrids', - 'validphys.pdfplots', - 'validphys.dataplots', - 'validphys.fitdata', - 'validphys.arclength', - 'validphys.sumrules', - 'validphys.reweighting', - 'validphys.kinematics', - 'validphys.correlations', - 'validphys.chi2grids', - 'validphys.eff_exponents', - 'validphys.paramfits.dataops', - 'validphys.paramfits.plots', - 'validphys.theorycovariance', - 'validphys.replica_selector', - 'validphys.MCgen_checks', - 'validphys.closure', - 'validphys.api', - 'reportengine.report'] - -class API: - config_class = Config - environment_class = Environment - - def __init__(self, **kwargs): - prov_list = [] - for prov in providers: - try: - mod = importlib.import_module(prov) - except ImportError: - log.error("Could not import module %s", mod) - raise - prov_list.append(mod) - self.provider_loaded = prov_list - self.loaderenv = Environment(**kwargs) - - def __call__(self, actions: str, **kwargs): - fuzzytarg = [FuzzyTarget(actions, (), (), ())] - c = self.config_class(kwargs, environment=self.loaderenv) - builder = ResourceBuilder(c, self.provider_loaded, fuzzytarg) - builder.resolve_fuzzytargets() - builder.execute_sequential(perform_final=False) - res = builder.rootns[actions] - return res - - def __getattr__(self, name): - print(type(name)) - def closure(**kwargs): - return self.__call__(name, **kwargs) - return closure diff --git a/validphys2/src/validphys/app.py b/validphys2/src/validphys/app.py index a94588f8f2..b07e201c7d 100644 --- a/validphys2/src/validphys/app.py +++ b/validphys2/src/validphys/app.py @@ -13,15 +13,43 @@ import contextlib -from reportengine import app +from reportengine import app, api -from validphys import api +from validphys.config import Environment, Config from validphys import uploadutils from validphys import mplstyles log = logging.getLogger(__name__) -class App(api.API, app.App): +providers = [ + 'validphys.results', + 'validphys.pdfgrids', + 'validphys.pdfplots', + 'validphys.dataplots', + 'validphys.fitdata', + 'validphys.arclength', + 'validphys.sumrules', + 'validphys.reweighting', + 'validphys.kinematics', + 'validphys.correlations', + 'validphys.chi2grids', + 'validphys.eff_exponents', + 'validphys.paramfits.dataops', + 'validphys.paramfits.plots', + 'validphys.theorycovariance', + 'validphys.replica_selector', + 'validphys.MCgen_checks', + 'validphys.closure', + 'reportengine.report'] + +class API(api.API): + """Validphys Specfic api""" + config_class = Config + environment_class = Environment + def __init__(self, **kwargs): + super().__init__(providers=providers, **kwargs) + +class App(API, app.App): critical_message = ( """A critical error ocurred. This is likely due to one of the following reasons: @@ -43,7 +71,7 @@ class App(api.API, app.App): def default_style(self): return os.fspath(mplstyles.smallstyle) - def __init__(self, name='validphys', providers=api.providers): + def __init__(self, name='validphys', providers=providers): app.App.__init__(self, name, providers) @property From 9553738ba6a657b1fa03e10763a8240aaab35b53 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 27 Mar 2019 16:08:06 +0000 Subject: [PATCH 287/429] accomodated changes in report engine to api class - Config and Environment classes now instance level. validphys.app.API is now an instance of the API --- validphys2/src/validphys/app.py | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/app.py b/validphys2/src/validphys/app.py index b07e201c7d..8830bb7e15 100644 --- a/validphys2/src/validphys/app.py +++ b/validphys2/src/validphys/app.py @@ -42,14 +42,9 @@ 'validphys.closure', 'reportengine.report'] -class API(api.API): - """Validphys Specfic api""" - config_class = Config - environment_class = Environment - def __init__(self, **kwargs): - super().__init__(providers=providers, **kwargs) +API = api.API(providers, Config, Environment) -class App(API, app.App): +class App(api.API, app.App): critical_message = ( """A critical error ocurred. This is likely due to one of the following reasons: @@ -72,6 +67,7 @@ def default_style(self): return os.fspath(mplstyles.smallstyle) def __init__(self, name='validphys', providers=providers): + api.API.__init__(self, providers, Config, Environment) app.App.__init__(self, name, providers) @property From a158d5d2f227b12d8ebae67f2301449b22903292 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Mon, 1 Apr 2019 15:20:45 +0100 Subject: [PATCH 288/429] added environment_class back into reportengine.app.App subclass --- validphys2/src/validphys/app.py | 1 + 1 file changed, 1 insertion(+) diff --git a/validphys2/src/validphys/app.py b/validphys2/src/validphys/app.py index 8830bb7e15..a9519f885c 100644 --- a/validphys2/src/validphys/app.py +++ b/validphys2/src/validphys/app.py @@ -61,6 +61,7 @@ class App(api.API, app.App): %s """ ) + environment_class = Environment @property def default_style(self): From 6d39a0b706fd6420dea87b7576fe82fd3379ae92 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 10 Apr 2019 13:22:26 +0100 Subject: [PATCH 289/429] first iteration of api documentation --- doc/sphinx/source/index.rst | 1 + doc/sphinx/source/usage/api.md | 105 +++++++++++++++++++++++++++++++++ 2 files changed, 106 insertions(+) create mode 100644 doc/sphinx/source/usage/api.md diff --git a/doc/sphinx/source/index.rst b/doc/sphinx/source/index.rst index 00d24c991a..63152a5c8c 100644 --- a/doc/sphinx/source/index.rst +++ b/doc/sphinx/source/index.rst @@ -12,6 +12,7 @@ Welcome to NNPDF's documentation! usage/installation usage/runafit + usage/api Indices and tables ================== diff --git a/doc/sphinx/source/usage/api.md b/doc/sphinx/source/usage/api.md new file mode 100644 index 0000000000..ae282017c9 --- /dev/null +++ b/doc/sphinx/source/usage/api.md @@ -0,0 +1,105 @@ +# Using the validphys API + +## Introduction + +An API functionality has been added to `validphys2` to increase the usability of the `validphys2`/ +`reportengine` machinery in a development setting such as a Jupyter notebook. Before the API was +introduced, one had to manually build all of the resources from scratch in order to use a provider. + This would become especially cumbersome in the case where the provider one wished to develop + depended on many providers. The API class uses the `reportengine.resourcebuilder` similarly +to `validphys.app` which allows for declaritive input, a simple example of this would be: + +``` +from validphys.app import API + +fig = API.plot_pdf(pdf="NNPDF31_nlo_as_0118", Q=2) +fig.show() +``` + +The user doesn't need to know exactly how to load the PDF, create the relevant grid to be plotted +and then pass that to the plotting function, this is all handled by the `resourcebuilder`. + +## Generic Example + +Whilst the essence of how to use the API has already been shown with a very primitive example, +we will now examine more practical examples of how the API can be used to develop a provider. + +Consider that you wanted to develop a provider which depends on some expensive providers, defined +somewhere in the validphys modules we have: + +``` +def expensive_prover1(pdf:PDF, Q, theoryid, ...): + ... + +def expensive_provider2(experiments, ...): + ... + +``` + +Now in a notebook you can do the following: + +``` +from validphys.app import API + +expensive1 = API.expesive_provider1(pdf="NNPDF31_nlo_as_0118", Q=100, theoryid=52, ...) +expensive2 = API.expensive_provider2(experiments={"from_": "fit"}, fit="NNPDF31_nlo_as_0118") + +``` + +In a seperate notebook cell we can then define and test our new function + +``` +def developing_provider(expensive_prover1, expensive_prover2): + ... + +test_output = developing_provider(expensive1, expensive2) +``` + +`expensive1` and `expensive2` have already been evaluated using the validphys machinery, and we just +had to declare the `validphys2` runcard inputs in order to use those providers. The output of these +expensive function is now saved. So for the remainder of our notebook session we don't need to +re-run the expensive providers everytime we wish to change something with our `developing_provider`. +Clearly this massively reduces the time to develop and test the new provider since, the expensive +providers which the new `developing_provider` depends on are cached for the rest of the jupyter +session. + +For `expensive_provider2` the input was slightly more complicated. When using the API remember that +the input is exactly the same as a `validphys2` runcard. The runcards are in a `yaml` format which +is then parsed as a `dict`. If it seems more intuitive one can utilise this when declaring the +inputs for the API providers, for example: + +``` +input2 = { + "experiments": { + "from_": "fit" + }, + "fit": "NNPDF31_nlo_as_0118" +} +expensive2 = API.expensive_provider2(**input2) +``` + +The `input2` dictionary is visually almost identical the corresponding `validphys2` runcard, we just +need to be careful the seperate items with commas, that all dict keys are strings and that +the typing is correct for the various inputs, we can always look up the appropriate typing by using +the `validphys --help` functionality. + +## Mixing declaritive input with custom resources + +A nice feature of the API is as well as being able to use purely declaritive input, similarly to +running a `validphys2` report, it also allows for mixing inputs between runcard level inputs and +custom resources. Take for example `xplotting_grid`, which minimally requires us to specify +`pdf`, `Q`. We see from `validphys --help xplotting_grid` that it depends on the provider `xgrid` +which in turn returns a tuple of `(scale, x_array)`. Using the API we could specify our own custom +xgrid input, but then rely on the API to collect the other relevant resources, for example: + +``` +import numpy as np +from validphys.app import API + +new_xgrid = ("linear", np.array([0.1, 0.2]) +pdf_grid = API.xplotting_grid(pdf="NNPDF31_nlo_as_0118", Q=2, xgrid=new_xgrid) + +``` + +although this is a primitive example we can see how the API offers flexibility to mix declaritive +inputs such as `pdf=` with python objects `xgrid=(, )`. From fa8430b3eda0ae3a44edd8b9c8a666231d3d68e8 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Tue, 16 Apr 2019 16:00:59 +0100 Subject: [PATCH 290/429] improved wording of docs, added note on creating figures in validphys style --- doc/sphinx/source/usage/api.md | 46 +++++++++++++++++++++++----------- 1 file changed, 32 insertions(+), 14 deletions(-) diff --git a/doc/sphinx/source/usage/api.md b/doc/sphinx/source/usage/api.md index ae282017c9..db08ec55c7 100644 --- a/doc/sphinx/source/usage/api.md +++ b/doc/sphinx/source/usage/api.md @@ -2,11 +2,8 @@ ## Introduction -An API functionality has been added to `validphys2` to increase the usability of the `validphys2`/ -`reportengine` machinery in a development setting such as a Jupyter notebook. Before the API was -introduced, one had to manually build all of the resources from scratch in order to use a provider. - This would become especially cumbersome in the case where the provider one wished to develop - depended on many providers. The API class uses the `reportengine.resourcebuilder` similarly +The API increases the usability of the `validphys2`/`reportengine` machinery in a development +setting such as a Jupyter notebook. The API class uses the `reportengine.resourcebuilder` similarly to `validphys.app` which allows for declaritive input, a simple example of this would be: ``` @@ -21,9 +18,6 @@ and then pass that to the plotting function, this is all handled by the `resourc ## Generic Example -Whilst the essence of how to use the API has already been shown with a very primitive example, -we will now examine more practical examples of how the API can be used to develop a provider. - Consider that you wanted to develop a provider which depends on some expensive providers, defined somewhere in the validphys modules we have: @@ -83,11 +77,34 @@ need to be careful the seperate items with commas, that all dict keys are string the typing is correct for the various inputs, we can always look up the appropriate typing by using the `validphys --help` functionality. -## Mixing declaritive input with custom resources +## Creating figures in the validphys style + +If a figure is created using the api, as with the first example: + +``` +from validphys.app import API + +fig = API.plot_pdf(pdf="NNPDF31_nlo_as_0118", Q=2) +fig.show() +``` + +you might notice that the style of the plot is very different to those produce by validphys. If you +want to use the same style as validphys then consider using the following commands at the top of +your script or notebook: + +``` +import matplotlib +from validphys import mplstyles +matplotlib.style.use(str(mplstyles.smallstyle)) +``` + +also consider using `fig.tight_layout()` which reportengine uses before saving figures. + +## Mixing declaritive input with custom resources (NOTE: Experimental) + +For some actions it is possible to mix declaritive input with custom resources. -A nice feature of the API is as well as being able to use purely declaritive input, similarly to -running a `validphys2` report, it also allows for mixing inputs between runcard level inputs and -custom resources. Take for example `xplotting_grid`, which minimally requires us to specify +Take for example `xplotting_grid`, which minimally requires us to specify `pdf`, `Q`. We see from `validphys --help xplotting_grid` that it depends on the provider `xgrid` which in turn returns a tuple of `(scale, x_array)`. Using the API we could specify our own custom xgrid input, but then rely on the API to collect the other relevant resources, for example: @@ -101,5 +118,6 @@ pdf_grid = API.xplotting_grid(pdf="NNPDF31_nlo_as_0118", Q=2, xgrid=new_xgrid) ``` -although this is a primitive example we can see how the API offers flexibility to mix declaritive -inputs such as `pdf=` with python objects `xgrid=(, )`. +The API offers flexibility to mix declaritive inputs such as `pdf=` with python objects +`xgrid=(, )`, note that this is very dependent on the provider in question +and is not guaranteed to work all the time. From f964903498a5e3ede8648a7edc4432d0f2af7de9 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Tue, 16 Apr 2019 16:10:38 +0100 Subject: [PATCH 291/429] improved first example to be an action which exists --- doc/sphinx/source/usage/api.md | 23 +++++++++++++++++++---- 1 file changed, 19 insertions(+), 4 deletions(-) diff --git a/doc/sphinx/source/usage/api.md b/doc/sphinx/source/usage/api.md index db08ec55c7..129e46fc59 100644 --- a/doc/sphinx/source/usage/api.md +++ b/doc/sphinx/source/usage/api.md @@ -9,8 +9,9 @@ to `validphys.app` which allows for declaritive input, a simple example of this ``` from validphys.app import API -fig = API.plot_pdf(pdf="NNPDF31_nlo_as_0118", Q=2) -fig.show() +figs = API.plot_pdfs(pdfs=["NNPDF31_nlo_as_0118"], Q=2) +for f, _ in figs: + f.show() ``` The user doesn't need to know exactly how to load the PDF, create the relevant grid to be plotted @@ -84,7 +85,7 @@ If a figure is created using the api, as with the first example: ``` from validphys.app import API -fig = API.plot_pdf(pdf="NNPDF31_nlo_as_0118", Q=2) +fig = API.some_plot(...) fig.show() ``` @@ -98,7 +99,21 @@ from validphys import mplstyles matplotlib.style.use(str(mplstyles.smallstyle)) ``` -also consider using `fig.tight_layout()` which reportengine uses before saving figures. +also consider using `fig.tight_layout()` which reportengine uses before saving figures. For the +example used earlier we would then have + +``` +import matplotlib +from validphys import mplstyles +matplotlib.style.use(str(mplstyles.smallstyle)) + +from validphys.app import API + +figs = API.plot_pdfs(pdfs=["NNPDF31_nlo_as_0118"], Q=2) +for f, _ in figs: + f.tight_layout() + f.show() +``` ## Mixing declaritive input with custom resources (NOTE: Experimental) From 5c9bcfc4ec1f25c22c237d57cd150acd869878e5 Mon Sep 17 00:00:00 2001 From: Zahari Date: Thu, 2 May 2019 14:06:35 +0100 Subject: [PATCH 292/429] Add python markers to code samples --- doc/sphinx/source/usage/api.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/doc/sphinx/source/usage/api.md b/doc/sphinx/source/usage/api.md index 129e46fc59..bcf0d90a20 100644 --- a/doc/sphinx/source/usage/api.md +++ b/doc/sphinx/source/usage/api.md @@ -6,7 +6,7 @@ The API increases the usability of the `validphys2`/`reportengine` machinery in setting such as a Jupyter notebook. The API class uses the `reportengine.resourcebuilder` similarly to `validphys.app` which allows for declaritive input, a simple example of this would be: -``` +```python from validphys.app import API figs = API.plot_pdfs(pdfs=["NNPDF31_nlo_as_0118"], Q=2) @@ -22,7 +22,7 @@ and then pass that to the plotting function, this is all handled by the `resourc Consider that you wanted to develop a provider which depends on some expensive providers, defined somewhere in the validphys modules we have: -``` +```python def expensive_prover1(pdf:PDF, Q, theoryid, ...): ... @@ -33,7 +33,7 @@ def expensive_provider2(experiments, ...): Now in a notebook you can do the following: -``` +```python from validphys.app import API expensive1 = API.expesive_provider1(pdf="NNPDF31_nlo_as_0118", Q=100, theoryid=52, ...) @@ -43,7 +43,7 @@ expensive2 = API.expensive_provider2(experiments={"from_": "fit"}, fit="NNPDF31_ In a seperate notebook cell we can then define and test our new function -``` +```python def developing_provider(expensive_prover1, expensive_prover2): ... @@ -63,7 +63,7 @@ the input is exactly the same as a `validphys2` runcard. The runcards are in a ` is then parsed as a `dict`. If it seems more intuitive one can utilise this when declaring the inputs for the API providers, for example: -``` +```python input2 = { "experiments": { "from_": "fit" @@ -82,7 +82,7 @@ the `validphys --help` functionality. If a figure is created using the api, as with the first example: -``` +```python from validphys.app import API fig = API.some_plot(...) @@ -93,7 +93,7 @@ you might notice that the style of the plot is very different to those produce b want to use the same style as validphys then consider using the following commands at the top of your script or notebook: -``` +```python import matplotlib from validphys import mplstyles matplotlib.style.use(str(mplstyles.smallstyle)) @@ -102,7 +102,7 @@ matplotlib.style.use(str(mplstyles.smallstyle)) also consider using `fig.tight_layout()` which reportengine uses before saving figures. For the example used earlier we would then have -``` +```python import matplotlib from validphys import mplstyles matplotlib.style.use(str(mplstyles.smallstyle)) @@ -124,7 +124,7 @@ Take for example `xplotting_grid`, which minimally requires us to specify which in turn returns a tuple of `(scale, x_array)`. Using the API we could specify our own custom xgrid input, but then rely on the API to collect the other relevant resources, for example: -``` +```python import numpy as np from validphys.app import API From 3d36c831ca0e7dab163f6f2358cc4bd64eaad1ef Mon Sep 17 00:00:00 2001 From: wilsonm Date: Thu, 2 May 2019 17:41:12 +0100 Subject: [PATCH 293/429] escape backslash so that tex gets parsed correctly from yaml file --- nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml | 2 +- .../data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml | 2 +- nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTMNORM.yaml | 2 +- nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml index abeb22a12b..26e6ac3250 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml @@ -1,4 +1,4 @@ -dataset_label: "ATLAS $t\\bar{t}$ rapidity $m_{t\bar{t}}$" +dataset_label: "ATLAS $t\\bar{t}$ rapidity $m_{t\\bar{t}}$" x: k1 y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dm_{t\bar{t}}$ (fb/GeV)' figure_by: diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml index 6c48de27e6..69b8145ddb 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml @@ -1,4 +1,4 @@ -dataset_label: "ATLAS $t\\bar{t}$ rapidity $y_{t\bar{t}}$" +dataset_label: "ATLAS $t\\bar{t}$ rapidity $y_{t\\bar{t}}$" x: k1 y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_{t\bar{t}}$ (fb)' figure_by: diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTMNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTMNORM.yaml index dedfcb203f..b2eea03549 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTMNORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTMNORM.yaml @@ -1,4 +1,4 @@ -dataset_label: "CMS $t\\bar{t}$ rapidity $m_{t\bar{t}}$" +dataset_label: "CMS $t\\bar{t}$ rapidity $m_{t\\bar{t}}$" x: k1 y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dm_{t\bar{t}}$ (fb/GeV)' figure_by: diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml index 907f9cf11b..66884bbc70 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTOPDIFF8TEVTTRAPNORM.yaml @@ -1,4 +1,4 @@ -dataset_label: "CMS $t\\bar{t}$ rapidity $y_{t\bar{t}}$" +dataset_label: "CMS $t\\bar{t}$ rapidity $y_{t\\bar{t}}$" x: k1 y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_{t\bar{t}}$ (fb)' figure_by: From 53445d088f4056746dce28362b32ffa4ac58b084 Mon Sep 17 00:00:00 2001 From: Zahari Date: Thu, 2 May 2019 20:22:26 +0100 Subject: [PATCH 294/429] Minor clarifications to documentation --- doc/sphinx/source/usage/api.md | 52 +++++++++++++++++++++------------- 1 file changed, 33 insertions(+), 19 deletions(-) diff --git a/doc/sphinx/source/usage/api.md b/doc/sphinx/source/usage/api.md index bcf0d90a20..d60200b37c 100644 --- a/doc/sphinx/source/usage/api.md +++ b/doc/sphinx/source/usage/api.md @@ -2,9 +2,13 @@ ## Introduction -The API increases the usability of the `validphys2`/`reportengine` machinery in a development -setting such as a Jupyter notebook. The API class uses the `reportengine.resourcebuilder` similarly -to `validphys.app` which allows for declaritive input, a simple example of this would be: + +The API functionality allows the `validphys`/`reportengine` machinery to be +readily leveraged in a development setting such as a Jupyter notebook. Any +action available to `validphys` can be invoked by Python code, with the same +parameters as a runcard. + +For example: ```python from validphys.app import API @@ -14,16 +18,26 @@ for f, _ in figs: f.show() ``` -The user doesn't need to know exactly how to load the PDF, create the relevant grid to be plotted -and then pass that to the plotting function, this is all handled by the `resourcebuilder`. +The `API` object provides a high level interface to the validphys code. Note +that the user doesn't need to know exactly how to load the PDF, create the +relevant grid to be plotted and then pass that to the plotting function, this is +all handled by the underlying code of `reportengine`. This abstraction provides +a convenient way to explore the functionality of `validphys` (or any other +`reportengine` application) as well as to develop further functionality for +`validphys` itself. + +All the actions available to `validphys` are translated into methods of the `API` +object. The arguments are the same as the parameters that the validphys runcard +would need to evaluate the action. ## Generic Example +An important use case of this functionality is the development Consider that you wanted to develop a provider which depends on some expensive providers, defined -somewhere in the validphys modules we have: +somewhere in the `validphys` modules, ```python -def expensive_prover1(pdf:PDF, Q, theoryid, ...): +def expensive_provider1(pdf:PDF, Q, theoryid): ... def expensive_provider2(experiments, ...): @@ -31,20 +45,20 @@ def expensive_provider2(experiments, ...): ``` -Now in a notebook you can do the following: +Now in a notebook we can do ```python from validphys.app import API -expensive1 = API.expesive_provider1(pdf="NNPDF31_nlo_as_0118", Q=100, theoryid=52, ...) +expensive1 = API.expesnive_provider1(pdf="NNPDF31_nlo_as_0118", Q=100, theoryid=52) expensive2 = API.expensive_provider2(experiments={"from_": "fit"}, fit="NNPDF31_nlo_as_0118") ``` -In a seperate notebook cell we can then define and test our new function +We can then define and test our new function (e.g. in a separate notebook cell), ```python -def developing_provider(expensive_prover1, expensive_prover2): +def developing_provider(expensive_provider1, expensive_provider2): ... test_output = developing_provider(expensive1, expensive2) @@ -53,7 +67,7 @@ test_output = developing_provider(expensive1, expensive2) `expensive1` and `expensive2` have already been evaluated using the validphys machinery, and we just had to declare the `validphys2` runcard inputs in order to use those providers. The output of these expensive function is now saved. So for the remainder of our notebook session we don't need to -re-run the expensive providers everytime we wish to change something with our `developing_provider`. +re-run the expensive providers every time we wish to change something with our `developing_provider`. Clearly this massively reduces the time to develop and test the new provider since, the expensive providers which the new `developing_provider` depends on are cached for the rest of the jupyter session. @@ -74,11 +88,11 @@ expensive2 = API.expensive_provider2(**input2) ``` The `input2` dictionary is visually almost identical the corresponding `validphys2` runcard, we just -need to be careful the seperate items with commas, that all dict keys are strings and that +need to be careful the separate items with commas, that all dict keys are strings and that the typing is correct for the various inputs, we can always look up the appropriate typing by using the `validphys --help` functionality. -## Creating figures in the validphys style +## Creating figures in the `validphys` style If a figure is created using the api, as with the first example: @@ -89,8 +103,8 @@ fig = API.some_plot(...) fig.show() ``` -you might notice that the style of the plot is very different to those produce by validphys. If you -want to use the same style as validphys then consider using the following commands at the top of +you might notice that the style of the plot is very different to those produce by `validphys`. If you +want to use the same style as `validphys` then consider using the following commands at the top of your script or notebook: ```python @@ -115,9 +129,9 @@ for f, _ in figs: f.show() ``` -## Mixing declaritive input with custom resources (NOTE: Experimental) +## Mixing declarative input with custom resources (NOTE: Experimental) -For some actions it is possible to mix declaritive input with custom resources. +For some actions it is possible to mix declarative input with custom resources. Take for example `xplotting_grid`, which minimally requires us to specify `pdf`, `Q`. We see from `validphys --help xplotting_grid` that it depends on the provider `xgrid` @@ -133,6 +147,6 @@ pdf_grid = API.xplotting_grid(pdf="NNPDF31_nlo_as_0118", Q=2, xgrid=new_xgrid) ``` -The API offers flexibility to mix declaritive inputs such as `pdf=` with python objects +The API offers flexibility to mix declarative inputs such as `pdf=` with python objects `xgrid=(, )`, note that this is very dependent on the provider in question and is not guaranteed to work all the time. From b4686260c7c05dbde8ffa9f98e86ebd2abbdfc3d Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 3 May 2019 14:57:11 +0100 Subject: [PATCH 295/429] removed subclassing of API in validphys.app --- validphys2/src/validphys/app.py | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/app.py b/validphys2/src/validphys/app.py index a9519f885c..05360f457e 100644 --- a/validphys2/src/validphys/app.py +++ b/validphys2/src/validphys/app.py @@ -2,7 +2,9 @@ app.py Mainloop of the validphys application. Here we define tailoted extensions to -the reporthengine application (such as extra command line flags). +the reporthengine application (such as extra command line flags). Additionally +the *provider modules* that serve as source to the validphys actions are +declared here. The entry point of the validphys application is the ``main`` funcion of this module. @@ -15,11 +17,10 @@ from reportengine import app, api -from validphys.config import Environment, Config +from validphys.config import Config, Environment from validphys import uploadutils from validphys import mplstyles -log = logging.getLogger(__name__) providers = [ 'validphys.results', @@ -42,9 +43,14 @@ 'validphys.closure', 'reportengine.report'] +log = logging.getLogger(__name__) + API = api.API(providers, Config, Environment) -class App(api.API, app.App): +class App(app.App): + + environment_class = Environment + config_class = Config critical_message = ( """A critical error ocurred. This is likely due to one of the following reasons: @@ -61,15 +67,13 @@ class App(api.API, app.App): %s """ ) - environment_class = Environment @property def default_style(self): return os.fspath(mplstyles.smallstyle) def __init__(self, name='validphys', providers=providers): - api.API.__init__(self, providers, Config, Environment) - app.App.__init__(self, name, providers) + super().__init__(name, providers) @property def argparser(self): From a7ecf11c69eb1302327072688a236a4a14ad5999 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Sat, 4 May 2019 22:55:59 +0100 Subject: [PATCH 296/429] changed production rule names, small fixes to formatting of documentation --- doc/validphys2/guide.md | 133 +++++++++++++++------------- validphys2/src/validphys/config.py | 16 ++-- validphys2/src/validphys/results.py | 8 +- 3 files changed, 84 insertions(+), 73 deletions(-) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index 8a1458f80e..dcc71b821f 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -1944,21 +1944,23 @@ files as the `fitrename` command will also rename these files. ### Fits with a Theory Covariance Matrix -Fits can be ran with a contribution to the covarince matrix obtained from performing scale -variations. `validphys` also has flags which control the how whether the covariance matrix used to -calculate statistical estimators should include a contribution from the theory covariance matrix. -Getting the various flags that control these behaviours correct in both fit and `validphys` runcards -is critical to getting sensible results. Examples with explanation will be provided here to -demonstrate how to run a fit with a theory covariance matrix and then use the various `validphys` -analysis tools on the fit. +Fits can be ran with a contribution to the covarince matrix obtained from +performing scale variations. `validphys` also has flags which control the how +whether the covariance matrix used to calculate statistical estimators should +include a contribution from the theory covariance matrix. Getting the various +flags that control these behaviours correct in both fit and `validphys` runcards +is critical to getting sensible results. Examples with explanation will be +provided here to demonstrate how to run a fit with a theory covariance matrix +and then use the various `validphys` analysis tools on the fit. #### Running a fit with Theory Covariance Matrix -In order to run a fit with a theory covariance the user must first specify that `datasets` are all -part of the same `experiment`. An example of how this is done in practise is provided with the -`experiments` section of a DIS only fit runcard: +In order to run a fit with a theory covariance the user must first specify that +`datasets` are all part of the same `experiment`. An example of how this is done +in practise is provided with the `experiments` section of a DIS only fit +runcard: -``` +```yaml experiments: - experiment: BIGEXP datasets: @@ -1982,29 +1984,32 @@ experiments: - {dataset: HERAF2CHARM, frac: 0.5} ``` -The `datasets` must be part of the same single `experiment` for the theory covariance matrix which -is generated when the user runs `vp-setupfit` to be compatible with the fitting infrastructure. +The `datasets` must be part of the same single `experiment` for the theory +covariance matrix which is generated when the user runs `vp-setupfit` to be +compatible with the fitting infrastructure. -The next step is to specify the `theorycovmatconfig`. This namespace controls which point prescription -is used to generate the theory covariance matrix, and whether the theory covariance matrix -will be used in the sampling of the pseudodata, the fitting of the data or both. +The next step is to specify the `theorycovmatconfig`. This namespace controls +which point prescription is used to generate the theory covariance matrix, and +whether the theory covariance matrix will be used in the sampling of the +pseudodata, the fitting of the data or both. -The different prescriptions for scale variation are 3-point, 5-point, 5bar-point, 7-point and -9-point, depending on which presciption the user decides to use, they must provide the correct -number and combination of `theoryids`. In addition to this if 5 or 5bar is being used then the user -must specify which of these prescriptions to use with the `fivetheories` flag. There are also two -options for the 7-point presciption, the default is 'Gavin's' prescription but the user can also -specify `seventheories: original`. +The different prescriptions for scale variation are 3-point, 5-point, +5bar-point, 7-point and 9-point, depending on which presciption the user decides +to use, they must provide the correct number and combination of `theoryids`. In +addition to this if 5 or 5bar is being used then the user must specify which of +these prescriptions to use with the `fivetheories` flag. There are also two +options for the 7-point presciption, the default is 'Gavin's' prescription but +the user can also specify `seventheories: original`. -The various configuration options might seem overwhelming, so for each of the presciptions the -appropriate `theoryids` and additional flags required are provided below, ready to be pasted into a report -runcard. +The various configuration options might seem overwhelming, so for each of the +presciptions the appropriate `theoryids` and additional flags required are +provided below, ready to be pasted into a report runcard. --------------------------------------------------------------------- ##### 3-point -``` +```yaml theorycovmatconfig: theoryids: - 163 @@ -2015,7 +2020,7 @@ theorycovmatconfig: ##### 5-point -``` +```yaml theorycovmatconfig: theoryids: - 163 @@ -2029,7 +2034,7 @@ theorycovmatconfig: ##### 5bar-point -``` +```yaml theorycovmatconfig: theoryids: - 163 @@ -2043,7 +2048,7 @@ theorycovmatconfig: ##### 7-point original -``` +```yaml theorycovmatconfig: theoryids: - 163 @@ -2058,7 +2063,7 @@ theorycovmatconfig: ##### 7-point Gavin (default) -``` +```yaml theorycovmatconfig: theoryids: - 163 @@ -2073,7 +2078,7 @@ theorycovmatconfig: ##### 9-point -``` +```yaml theorycovmatconfig: theoryids: - 163 @@ -2089,19 +2094,21 @@ theorycovmatconfig: --------------------------------------------------------------------- -Once the user has correctly specified the `theoryids` and additional flags for their chosen -prescription then the user must specify which PDF will be used to generate the theory 'points' required -to construct the theory covariance matrix. The user must additionally specify where the theory covariance is to be used. The theory -covariance can be used to sample the pseudodata by setting `use_thcovmat_in_sampling: true`, -likewise the theory covariance can be included in covariance matrix used in the fit by specifying +Once the user has correctly specified the `theoryids` and additional flags for +their chosen prescription then the user must specify which PDF will be used to +generate the theory 'points' required to construct the theory covariance matrix. +The user must additionally specify where the theory covariance is to be used. +The theory covariance can be used to sample the pseudodata by setting +`use_thcovmat_in_sampling: true`, likewise the theory covariance can be included +in covariance matrix used in the fit by specifying `use_thcovmat_in_fitting: true`. -Combining all of the above information, if one wanted to run a fit using the theory covariance, -calculated using the 9-point prescription, in both the fitting and sampling with -`NNPDF31_nlo_as_0118` used to generate the covariance matrix then the complete `theorycovmatconfig` -would be: +Combining all of the above information, if one wanted to run a fit using the +theory covariance, calculated using the 9-point prescription, in both the +fitting and sampling with `NNPDF31_nlo_as_0118` used to generate the +covariance matrix then the complete `theorycovmatconfig` would be: -``` +```yaml theorycovmatconfig: theoryids: - 163 @@ -2120,17 +2127,19 @@ theorycovmatconfig: #### Using `validphys` statistical estimators with theory covariance -Once a fit has been ran with the theory covariance, it is necessary to use the theory covariance -matrix in estimators such as calculating the chi² in order to get meaningful values. This behaviour -is controlled by the flag `use_thcovmat_if_present`, which by default the flag is set to `False`. +Once a fit has been ran with the theory covariance, it is necessary to use the +theory covariance matrix in estimators such as calculating the chi² in order to +get meaningful values. This behaviour is controlled by the flag +`use_thcovmat_if_present`, which by default the flag is set to `False`. -If the user specifies `use_thcovmat_if_present: True` then they must also specify a corresponding -`fit`. The configuration file for that `fit` will be read. If `use_thcovmat_in_fitting: True` then -validphys will locate the theory covariance matrix used during the fit and add it to the -experimental covariance matrix, for use in statistical estimators such as chi². A simple example of -this would be +If the user specifies `use_thcovmat_if_present: True` then they must also +specify a corresponding `fit`. The configuration file for that `fit` will be +read. If `use_thcovmat_in_fitting: True` then validphys will locate the theory +covariance matrix used during the fit and add it to the experimental +covariance matrix, for use in statistical estimators such as chi². A simple +example of this would be -``` +```yaml dataset_input: {dataset: HERAF2CHARM} use_thcovmat_if_present: True @@ -2153,18 +2162,18 @@ actions_: ``` It should be noted that any `dataset_input` specified in the same runcard that -`use_thcovmat_if_present: True` must have been fitted in the corresponding `fit`. If the -corresponding fit has `use_thcovmat_if_present: False` then the user will be warned and there will -be no contribution from the theory covariance matrix used in calculating statistical estimators for -that runcard. - -Finally, the `use_thcovmat_if_present` flag can be specified at runtime when using the -`vp-comparefits` application. The user **must** either specify the commandline flag `--thcovmat_if_present` -or `--no-thcovmat_if_present` which set `use_thcovmat_if_present` to `True` or `False` respectively. - -If the user uses the interactive mode, `vp-comparefits -i`, then they will be prompted to select -whether or not to use the theory covariance matrix, if available, in the report if they have -not already specified on the command line. +`use_thcovmat_if_present: True` must have been fitted in the corresponding +`fit`. If the corresponding fit has `use_thcovmat_if_present: False` then the +user will be warned and there will be no contribution from the theory covariance +matrix used in calculating statistical estimators for that runcard. + +When using the `vp-comparefits` application, the user **must** either specify +the commandline flag `--thcovmat_if_present` or `--no-thcovmat_if_present` +which set `use_thcovmat_if_present` to `True` or `False` respectively. + +If the user uses the interactive mode, `vp-comparefits -i`, then they will be +prompted to select whether or not to use the theory covariance matrix, if +available, in the report if they have not already specified on the command line. Parallel mode ------------- diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 57f9a234e7..b9f6ce2887 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -749,9 +749,10 @@ def parse_fitdeclaration(self, label:str): """ return label - def produce_experiments_from_plotting(self, fit): - """Used to produce experiments from the fit, where each experiment is a group of datasets - according to the experiment key in the plotting info file + def produce_fit_data_groupby_experiment(self, fit): + """Used to produce data from the fit grouped into experiments, + where each experiment is a group of datasets according to the experiment + key in the plotting info file. """ #TODO: consider this an implimentation detail from reportengine.namespaces import NSList @@ -776,15 +777,16 @@ def produce_experiments_from_plotting(self, fit): experiments = NSList(exps, nskey='experiment') return {'experiments': experiments} - def produce_experiments_from_plotting_withcontext(self, fit): - """produces experiments similarly to `experiments_from_plotting` but also sets fitcontext - (pdf and theoryid) + def produce_fit_context_groupby_experiment(self, fit): + """produces experiments similarly to `fit_data_groupby_experiment` + but also sets fitcontext (pdf and theoryid) """ _, pdf = self.parse_from_('fit', 'pdf', write=False) _, theory = self.parse_from_('fit', 'theory', write=False) thid = theory['theoryid'] with self.set_context(ns=self._curr_ns.new_child({'theoryid':thid})): - experiments = self.produce_experiments_from_plotting(fit)['experiments'] + experiments = self.produce_fit_data_groupby_experiment( + fit)['experiments'] return {'pdf': pdf, 'theoryid':thid, 'experiments': experiments} diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 884c5812a1..23c3a8d8aa 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -359,7 +359,7 @@ def closure_pseudodata_replicas(experiments, pdf, nclosure:int, return df -#TODO: Add check here that dataset appears in fitthcovmat (if true) and that cuts match + @check_dataset_cuts_match_theorycovmat def covariance_matrix(dataset:DataSetSpec, fitthcovmat, t0set:(PDF, type(None)) = None): """Returns a tuple of Covariance matrix and sqrt covariance matrix for the given dataset @@ -685,9 +685,9 @@ def dataset_chi2_table(chi2_stats, dataset): return pd.DataFrame(chi2_stats, index=[dataset.name]) fits_experiment_chi2_data = collect( - 'experiments_chi2', ('fits', 'experiments_from_plotting_withcontext',)) + 'experiments_chi2', ('fits', 'fit_context_groupby_experiment',)) fits_experiments = collect( - 'experiments', ('fits', 'experiments_from_plotting_withcontext',)) + 'experiments', ('fits', 'fit_context_groupby_experiment',)) def fit_name_with_covmat_label(fit, fitthcovmat): """If theory covariance matrix is being used to calculate statistical estimators for the `fit` @@ -738,7 +738,7 @@ def fits_experiments_chi2_table(fits_name_with_covmat_label, fits_experiments, return res fits_experiments_phi = collect( - 'experiments_phi', ('fits', 'experiments_from_plotting_withcontext')) + 'experiments_phi', ('fits', 'fit_context_groupby_experiment')) @table def fits_experiments_phi_table(fits_name_with_covmat_label, fits_experiments, fits_experiments_phi): From 18e629de6bc203cb2b7ad92388717c3768ca176e Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 6 May 2019 10:48:26 +0100 Subject: [PATCH 297/429] changes to plots requested by Juan --- .../validphys/theorycovariance/construction.py | 5 ++++- .../src/validphys/theorycovariance/output.py | 18 +++++++++--------- .../src/validphys/theorycovariance/tests.py | 6 +++++- 3 files changed, 18 insertions(+), 11 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 0e82004543..5b0775f4d7 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -16,7 +16,7 @@ from reportengine.table import table from reportengine import collect -from validphys.results import experiments_central_values, results +from validphys.results import experiments_central_values, experiments_central_values_no_table, results from validphys.results import Chi2Data from validphys.calcutils import calc_chi2, all_chi2_theory, central_chi2_theory @@ -25,6 +25,9 @@ theoryids_experiments_central_values = collect(experiments_central_values, ('theoryids',)) +theoryids_experiments_central_values_no_table = collect(experiments_central_values_no_table, + ('theoryids',)) + def _check_correct_theory_combination_internal(theoryids, fivetheories:(str, type(None)) = None): """Checks that a valid theory combination corresponding to an existing diff --git a/validphys2/src/validphys/theorycovariance/output.py b/validphys2/src/validphys/theorycovariance/output.py index 0ce8ba4bca..2f41dfe1f9 100644 --- a/validphys2/src/validphys/theorycovariance/output.py +++ b/validphys2/src/validphys/theorycovariance/output.py @@ -97,7 +97,7 @@ def plot_covmat_heatmap(covmat, title, dataset_index_byprocess): linscale=10, vmin=-100*matrix.max(), vmax=100*matrix.max())) - cbar=fig.colorbar(matrixplot) + cbar=fig.colorbar(matrixplot, fraction=0.046, pad=0.04) cbar.set_label(label="% of data", fontsize=20) cbar.ax.tick_params(labelsize=20) ax.set_title(title, fontsize=25) @@ -155,7 +155,7 @@ def plot_corrmat_heatmap(corrmat, title, dataset_index_byprocess): matrix = newdf.values fig, ax = plt.subplots(figsize=(15,15)) matrixplot = ax.matshow(matrix, cmap=cm.Spectral_r, vmin=-1, vmax=1) - cbar=fig.colorbar(matrixplot) + cbar=fig.colorbar(matrixplot, fraction=0.046, pad=0.04) cbar.ax.tick_params(labelsize=20) ax.set_title(title, fontsize=25) ticklocs, ticklabels, startlocs = matrix_plot_labels(newdf) @@ -173,7 +173,7 @@ def plot_corrmat_heatmap(corrmat, title, dataset_index_byprocess): def plot_normexpcovmat_heatmap(experiments_normcovmat, dataset_index_byprocess): """Matrix plot of the experiment covariance matrix normalised to data.""" fig = plot_covmat_heatmap(experiments_normcovmat, - "Experiment covariance matrix", + "Experimental Covariance Matrix", dataset_index_byprocess) return fig @@ -181,7 +181,7 @@ def plot_normexpcovmat_heatmap(experiments_normcovmat, dataset_index_byprocess): def plot_expcorrmat_heatmap(experiments_corrmat, dataset_index_byprocess): """Matrix plot of the experiment correlation matrix""" fig = plot_corrmat_heatmap(experiments_corrmat, - "Experiment correlation matrix", + "Experimental Correlation Matrix", dataset_index_byprocess) return fig @@ -205,7 +205,7 @@ def plot_normthcovmat_heatmap_custom(theory_normcovmat_custom, theoryids, elif fivetheories == "linear": l = "linear 5" fig = plot_covmat_heatmap(theory_normcovmat_custom, - f"Theory covariance matrix for {l} points", + f"Theory Covariance matrix ({l} pt)", dataset_index_byprocess) return fig @@ -229,7 +229,7 @@ def plot_thcorrmat_heatmap_custom(theory_corrmat_custom, theoryids, elif fivetheories == "linear": l = "linear 5" fig = plot_corrmat_heatmap(theory_corrmat_custom, - f"Theory correlation matrix for {l} points", + f"Theory Correlation matrix ({l} pt)", dataset_index_byprocess) return fig @@ -254,7 +254,7 @@ def plot_normexpplusthcovmat_heatmap_custom(experimentsplustheory_normcovmat_cus elif fivetheories == "linear": l = "linear 5" fig = plot_covmat_heatmap(experimentsplustheory_normcovmat_custom, - f"Experiment + theory covariance matrix for {l} points", + f"Experimental + Theory Covariance Matrix ({l} pt)", dataset_index_byprocess) return fig @@ -279,7 +279,7 @@ def plot_expplusthcorrmat_heatmap_custom(experimentsplustheory_corrmat_custom, elif fivetheories == "linear": l = "linear 5" fig = plot_corrmat_heatmap(experimentsplustheory_corrmat_custom, - f"Experiment + theory correlation matrix for {l} points", + f"Experimental + Theory Correlation Matrix ({l} pt)", dataset_index_byprocess) return fig @@ -353,7 +353,7 @@ def plot_diag_cov_comparison(theory_covmat_custom, experiments_covmat, ax.set_ylabel(r"$\frac{\sqrt{cov_{ii}}}{|D_i|}$", fontsize=30) ax.yaxis.set_tick_params(labelsize=20) ax.set_ylim([0,0.5]) - ax.set_title(f"Square root of diagonal elements of covariances matrices for {l} points, " + ax.set_title(f"Square root of diagonal elements of covariance matrices ({l} pt), " + "normalised to absolute value of data", fontsize=20) ax.legend(fontsize=20) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 8908d0d12c..6b2ba39207 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -555,9 +555,13 @@ def efficiency(theory_shift_test): covariance matrix encapsulates the NNLO-NLO shift.""" f = theory_shift_test[3] fmiss = theory_shift_test[4] + fs = f - fmiss fmod = np.sqrt(np.sum(f**2)) fmiss_mod = np.sqrt(np.sum(fmiss**2)) - efficiency = 1 - fmiss_mod/fmod + fs_mod = np.sqrt(np.sum(fs**2)) + efficiency1 = 1 - fmiss_mod/fmod + efficiency2 = fs_mod/fmod + efficiency = (efficiency1, efficiency2) print(f"efficiency = {efficiency}") return efficiency From ede505228ae1b48d51594d97ecfb427dcee2a977 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 6 May 2019 11:34:23 +0100 Subject: [PATCH 298/429] adding fivetheories dependency to fix error --- validphys2/src/validphys/theorycovariance/construction.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 51395baf39..bc153fc959 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -117,7 +117,7 @@ def theory_covmat_no_table(theoryids_experiments_central_values_no_table, experi @table @_check_correct_theory_combination -def theory_covmat(theory_covmat_no_table): +def theory_covmat(theory_covmat_no_table, fivetheories:(str, type(None)) = None): """Duplicate of theory_covmat_no_table but with a table decorator.""" return theory_covmat_no_table From 962df176efb907f15cc7d9f9b55603ce2a1027d3 Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Mon, 6 May 2019 12:07:01 +0100 Subject: [PATCH 299/429] Update tests.py --- validphys2/src/validphys/theorycovariance/tests.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 1a720c8e4c..1f79a80b41 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -561,9 +561,7 @@ def efficiency(theory_shift_test): fmod = np.sqrt(np.sum(f**2)) fmiss_mod = np.sqrt(np.sum(fmiss**2)) fs_mod = np.sqrt(np.sum(fs**2)) - efficiency1 = 1 - fmiss_mod/fmod - efficiency2 = fs_mod/fmod - efficiency = (efficiency1, efficiency2) + efficiency = 1 - fmiss_mod/fmod print(f"efficiency = {efficiency}") return efficiency From c5531be5a32fcba3fa7989b896ccca326a5f6a45 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 6 May 2019 12:31:54 +0100 Subject: [PATCH 300/429] addressing pylint --- validphys2/src/validphys/config.py | 2 +- .../src/validphys/theorycovariance/construction.py | 8 +++++--- validphys2/src/validphys/theorycovariance/tests.py | 9 ++------- 3 files changed, 8 insertions(+), 11 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index fb173ce518..d6c2275d36 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -701,7 +701,7 @@ def produce_all_lumi_channels(self): @configparser.explicit_node def produce_nnfit_theory_covmat(self, use_thcovmat_in_sampling:bool, use_thcovmat_in_fitting:bool): - from validphys.theorycovariance import theory_covmat_custom + from validphys.theorycovariance.construction import theory_covmat_custom @functools.wraps(theory_covmat_custom) def res(*args, **kwargs): return theory_covmat_custom(*args, **kwargs) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index bc153fc959..53ba5eb68a 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -16,8 +16,8 @@ from reportengine.table import table from reportengine import collect -from validphys.results import experiments_central_values, experiments_central_values_no_table, results -from validphys.results import Chi2Data, experiments_chi2_table +from validphys.results import experiments_central_values, experiments_central_values_no_table +from validphys.results import Chi2Data, results from validphys.calcutils import calc_chi2, all_chi2_theory, central_chi2_theory log = logging.getLogger(__name__) @@ -107,7 +107,9 @@ def make_scale_var_covmat(predictions): return s @_check_correct_theory_combination -def theory_covmat_no_table(theoryids_experiments_central_values_no_table, experiments_index, theoryids, fivetheories:(str, type(None)) = None): +def theory_covmat_no_table(theoryids_experiments_central_values_no_table, + experiments_index, theoryids, + fivetheories:(str, type(None)) = None): """Calculates the theory covariance matrix for scale variations. The matrix is a dataframe indexed by experiments_index.""" diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 1a720c8e4c..9d47170db6 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -430,7 +430,6 @@ def vectors_9pt(splitdiffs): @_check_correct_theory_combination_theoryconfig def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, - collected_theoryids, fivetheories:(str, type(None)) = None, seventheories:(str, type(None)) = None, orthonormalisation:(str, type(None))=None): @@ -442,7 +441,7 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, and the choice must be specified using the "orthonormalisation" flag in the runcard. The choices are: gs, the Gram-Schmidt method; qr, QR decomposition; svd, singular value decomposition. - QR is the method which should be used as standard; the others + QR is the method which should be used as standard; the others exist for testing purposes.""" covmat = (thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0]))) @@ -557,13 +556,9 @@ def efficiency(theory_shift_test): covariance matrix encapsulates the NNLO-NLO shift.""" f = theory_shift_test[3] fmiss = theory_shift_test[4] - fs = f - fmiss fmod = np.sqrt(np.sum(f**2)) fmiss_mod = np.sqrt(np.sum(fmiss**2)) - fs_mod = np.sqrt(np.sum(fs**2)) - efficiency1 = 1 - fmiss_mod/fmod - efficiency2 = fs_mod/fmod - efficiency = (efficiency1, efficiency2) + efficiency = 1 - fmiss_mod/fmod print(f"efficiency = {efficiency}") return efficiency From 2c2673165ac3e0fffa00f93e89be5a33824929df Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Mon, 6 May 2019 14:53:26 +0100 Subject: [PATCH 301/429] new theorycovarianceutils --- validphys2/src/validphys/config.py | 4 +- .../theorycovariance/construction.py | 127 ++---------------- .../src/validphys/theorycovariance/tests.py | 20 +-- .../theorycovariance/theorycovarianceutils.py | 116 ++++++++++++++++ 4 files changed, 137 insertions(+), 130 deletions(-) create mode 100644 validphys2/src/validphys/theorycovariance/theorycovarianceutils.py diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index d6c2275d36..f30afbddd9 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -29,7 +29,7 @@ from validphys.paramfits.config import ParamfitsConfig -from validphys.theorycovariance.construction import _process_lookup +from validphys.theorycovariance.theorycovarianceutils import process_lookup log = logging.getLogger(__name__) @@ -504,7 +504,7 @@ def produce_matched_datasets_from_dataspecs(self, dataspecs): with self.set_context(ns=self._curr_ns.new_child(spec)): _, experiments = self.parse_from_( None, 'experiments', write=False) - names = {(e.name, ds.name, _process_lookup(ds.name)): (ds, dsin) + names = {(e.name, ds.name, process_lookup(ds.name)): (ds, dsin) for e in experiments for ds, dsin in zip(e.datasets, e)} all_names.append(names) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 53ba5eb68a..91ba6b930f 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -12,13 +12,14 @@ import scipy.linalg as la import pandas as pd -from reportengine.checks import make_argcheck, check from reportengine.table import table from reportengine import collect from validphys.results import experiments_central_values, experiments_central_values_no_table from validphys.results import Chi2Data, results from validphys.calcutils import calc_chi2, all_chi2_theory, central_chi2_theory +from validphys.theorycovariance.theorycovarianceutils import process_lookup, check_correct_theory_combination + log = logging.getLogger(__name__) @@ -28,54 +29,9 @@ theoryids_experiments_central_values_no_table = collect(experiments_central_values_no_table, ('theoryids',)) -def _check_correct_theory_combination_internal(theoryids, - fivetheories:(str, type(None)) = None): - """Checks that a valid theory combination corresponding to an existing - prescription has been inputted""" - l = len(theoryids) - check(l in {3, 5, 7, 9}, - "Expecting exactly 3, 5, 7 or 9 theories, but got {l}.") - opts = {'bar', 'nobar', 'linear'} - xifs = [theoryid.get_description()['XIF'] for theoryid in theoryids] - xirs = [theoryid.get_description()['XIR'] for theoryid in theoryids] - if l == 3: - correct_xifs = [1.0, 2.0, 0.5] - correct_xirs = [1.0, 2.0, 0.5] - elif l == 5: - check( - fivetheories is not None, - "For five input theories a prescription bar, nobar or linear " - "for the flag fivetheories must be specified.") - check(fivetheories in opts, - "Invalid choice of prescription for 5 points", fivetheories, - opts) - if fivetheories in ("nobar", "linear"): - correct_xifs = [1.0, 2.0, 0.5, 1.0, 1.0] - correct_xirs = [1.0, 1.0, 1.0, 2.0, 0.5] - elif fivetheories == "bar": - correct_xifs = [1.0, 2.0, 0.5, 2.0, 0.5] - correct_xirs = [1.0, 2.0, 0.5, 0.5, 2.0] - elif l == 7: - correct_xifs = [1.0, 2.0, 0.5, 1.0, 1.0, 2.0, 0.5] - correct_xirs = [1.0, 1.0, 1.0, 2.0, 0.5, 2.0, 0.5] - else: - correct_xifs = [1.0, 2.0, 0.5, 1.0, 1.0, 2.0, 0.5, 2.0, 0.5] - correct_xirs = [1.0, 1.0, 1.0, 2.0, 0.5, 2.0, 0.5, 0.5, 2.0] - check( - xifs == correct_xifs and xirs == correct_xirs, - "Choice of input theories does not correspond to a valid " - "prescription for theory covariance matrix calculation") - collected_theoryids = collect('theoryids', ['theoryconfig',]) -_check_correct_theory_combination = make_argcheck(_check_correct_theory_combination_internal) - -@make_argcheck -def _check_correct_theory_combination_theoryconfig(collected_theoryids, - fivetheories:(str, type(None)) = None): - _check_correct_theory_combination_internal(collected_theoryids[0], fivetheories) - def dataset_index_byprocess(experiments_index): """Return a multiindex with index per dataset per point, ordered by process""" @@ -83,7 +39,7 @@ def dataset_index_byprocess(experiments_index): ids = experiments_index.get_level_values("id") for dsname in experiments_index.get_level_values("dataset"): dsnames.append(dsname) - processnames = [_process_lookup(dsname) for dsname in dsnames] + processnames = [process_lookup(dsname) for dsname in dsnames] experiments_index.droplevel(level="experiment") newindex = pd.MultiIndex.from_arrays([processnames, dsnames, ids], names = ("process", "dataset", "id")) @@ -106,7 +62,7 @@ def make_scale_var_covmat(predictions): s = norm*sum(np.outer(d, d) for d in deltas) return s -@_check_correct_theory_combination +@check_correct_theory_combination def theory_covmat_no_table(theoryids_experiments_central_values_no_table, experiments_index, theoryids, fivetheories:(str, type(None)) = None): @@ -118,7 +74,7 @@ def theory_covmat_no_table(theoryids_experiments_central_values_no_table, return df @table -@_check_correct_theory_combination +@check_correct_theory_combination def theory_covmat(theory_covmat_no_table, fivetheories:(str, type(None)) = None): """Duplicate of theory_covmat_no_table but with a table decorator.""" return theory_covmat_no_table @@ -127,7 +83,7 @@ def theory_covmat(theory_covmat_no_table, fivetheories:(str, type(None)) = None) each_dataset_results_bytheory = collect('results_bytheoryids', ('experiments', 'experiment')) -@_check_correct_theory_combination +@check_correct_theory_combination def theory_covmat_datasets(each_dataset_results_bytheory, fivetheories:(str, type(None)) = None): """Produces an array of theory covariance matrices. Each matrix corresponds @@ -139,7 +95,7 @@ def theory_covmat_datasets(each_dataset_results_bytheory, dataset_covmats.append(s) return dataset_covmats -@_check_correct_theory_combination +@check_correct_theory_combination def total_covmat_datasets(each_dataset_results_bytheory, fivetheories:(str, type(None)) = None): """Produces an array of total covariance matrices; the sum of experimental @@ -155,7 +111,7 @@ def total_covmat_datasets(each_dataset_results_bytheory, dataset_covmats.append(cov) return dataset_covmats -@_check_correct_theory_combination +@check_correct_theory_combination def total_covmat_diagtheory_datasets(each_dataset_results_bytheory, fivetheories:(str, type(None)) = None): """Same as total_covmat_theory_datasets but for diagonal theory only""" @@ -182,7 +138,7 @@ def theory_block_diag_covmat(theory_covmat_datasets, experiments_index): experiments_results_theory = collect('experiments_results', ('theoryids',)) -@_check_correct_theory_combination +@check_correct_theory_combination def total_covmat_experiments(experiments_results_theory, fivetheories:(str, type(None)) = None): """Same as total_covmat_datasets but per experiment rather than @@ -198,65 +154,6 @@ def total_covmat_experiments(experiments_results_theory, commondata_experiments = collect('commondata', ['experiments', 'experiment']) -def _process_lookup(name): - """Produces a dictionary with keys corresponding to dataset names - and values corresponding to process types. Process types are - regrouped into the five categories 'Drell-Yan', 'Top', Jets', - 'DIS NC' and 'DIS CC'.""" - process_dictionary = { "ATLASZPT8TEVMDIST": "DY", - "ATLASZPT8TEVYDIST": "DY", - "CMSZDIFF12": "DY", - "ATLAS1JET11": "JETS", - "CMSJETS11": "JETS", - "CDFR2KT": "JETS", - "CMSTOPDIFF8TEVTTRAPNORM": "TOP", - "ATLASTOPDIFF8TEVTRAPNORM": "TOP", - "ATLASTTBARTOT": "TOP", - "CMSTTBARTOT": "TOP", - "DYE605": "DY", - "DYE886P": "DY", - "DYE886R": "DY", - "ATLASWZRAP36PB": "DY", - "ATLASZHIGHMASS49FB": "DY", - "ATLASLOMASSDY11EXT": "DY", - "ATLASWZRAP11": "DY", - "CMSWEASY840PB": "DY", - "CMSWMASY47FB": "DY", - "CMSDY2D11": "DY", - "CMSWMU8TEV": "DY", - "CMSWCHARMRAT": "DY", - "CMSWCHARMsTOT": "DY", - "LHCBZ940PB": "DY", - "LHCBZEE2FB": "DY", - "LHCBWZMU7TEV": "DY", - "LHCBWZMU8TEV": "DY", - "D0WEASY": "DY", - "D0WMASY": "DY", - "D0ZRAP": "DY", - "CDFZRAP": "DY", - "H1HERAF2B": "DIS NC", - "HERACOMBCCEM": "DIS CC", - "HERACOMBCCEP": "DIS CC", - "HERACOMBNCEM": "DIS NC", - "HERACOMBNCEP460": "DIS NC", - "HERACOMBNCEP575": "DIS NC", - "HERACOMBNCEP820": "DIS NC", - "HERACOMBNCEP920": "DIS NC", - "HERAF2CHARM": "DIS NC", - "ZEUSHERAF2B": "DIS NC", - "NMCPD": "DIS NC", - "NMC": "DIS NC", - "SLACP": "DIS NC", - "SLACD": "DIS NC", - "BCDMSP": "DIS NC", - "BCDMSD": "DIS NC", - "CHORUSNU": "DIS CC", - "CHORUSNB": "DIS CC", - "NTVNUDMN": "DIS CC", - "NTVNBDMN": "DIS CC" } - proc = process_dictionary[name] - return proc - def dataset_names(commondata_experiments): """Returns a list of the names of the datasets, in the same order as they are inputted in the runcard""" @@ -280,7 +177,7 @@ def combine_by_type(each_dataset_results_bytheory, dataset_names): for dataset, name in zip(each_dataset_results_bytheory, dataset_names): theory_centrals = [x[1].central_value for x in dataset] dataset_size[name] = len(theory_centrals[0]) - proc_type = _process_lookup(name) + proc_type = process_lookup(name) ordered_names[proc_type].append(name) theories_by_process[proc_type].append(theory_centrals) for key, item in theories_by_process.items(): @@ -419,7 +316,7 @@ def covmat_9pt(name1, name2, deltas1, deltas2): (deltas2[2]+deltas2[3]))) return s -@_check_correct_theory_combination +@check_correct_theory_combination def covs_pt_prescrip(combine_by_type, process_starting_points, theoryids, fivetheories:(str, type(None)) = None, seventheories:(str, type(None)) = None): @@ -486,7 +383,7 @@ def theory_covmat_custom(covs_pt_prescrip, covmap, experiments_index): columns=experiments_index) return df -@_check_correct_theory_combination +@check_correct_theory_combination def total_covmat_diagtheory_experiments(experiments_results_theory, fivetheories:(str, type(None)) = None): """Same as total_covmat_datasets but per experiment rather than diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 9d47170db6..699fe1dcb0 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -20,14 +20,13 @@ from validphys.checks import check_two_dataspecs -from validphys.theorycovariance.construction import _check_correct_theory_combination from validphys.theorycovariance.construction import combine_by_type, process_starting_points from validphys.theorycovariance.construction import theory_corrmat from validphys.theorycovariance.construction import covmap, covs_pt_prescrip, theory_covmat_custom -from validphys.theorycovariance.construction import _process_lookup -from validphys.theorycovariance.construction import _check_correct_theory_combination_theoryconfig from validphys.theorycovariance.output import matrix_plot_labels, _get_key +from validphys.theorycovariance.theorycovarianceutils import process_lookup, check_correct_theory_combination_theoryconfig +from validphys.theorycovariance.theorycovarianceutils import check_correct_theory_combination_dataspecs log = logging.getLogger(__name__) @@ -147,14 +146,8 @@ def process_starting_points_dataspecs(combine_by_type_dataspecs): """Like process_starting_points but for matched dataspecs.""" return process_starting_points(combine_by_type_dataspecs) -@make_argcheck -def _check_correct_theory_combination_dataspecs(dataspecs_theoryids, - fivetheories:(str, type(None)) = None): - """Like _check_correct_theory_combination but for matched dataspecs.""" - return _check_correct_theory_combination.__wrapped__( - dataspecs_theoryids, fivetheories) -@_check_correct_theory_combination_dataspecs +@check_correct_theory_combination_dataspecs def covs_pt_prescrip_dataspecs(combine_by_type_dataspecs, process_starting_points_dataspecs, dataspecs_theoryids, @@ -428,8 +421,9 @@ def vectors_9pt(splitdiffs): xs.append(newvec) return xs -@_check_correct_theory_combination_theoryconfig +@check_correct_theory_combination_theoryconfig def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, + collected_theoryids, fivetheories:(str, type(None)) = None, seventheories:(str, type(None)) = None, orthonormalisation:(str, type(None))=None): @@ -455,7 +449,7 @@ def evals_nonzero_basis(allthx_vector, thx_covmat, thx_vector, procdict = {} for index in indexlist: name = index[0] - proc = _process_lookup(name) + proc = process_lookup(name) if proc not in list(procdict.keys()): procdict[proc] = [name] elif name not in procdict[proc]: @@ -624,7 +618,7 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): i = index[1] dsnames.append(name) ids.append(i) - proc = _process_lookup(name) + proc = process_lookup(name) processnames.append(proc) tripleindex = pd.MultiIndex.from_arrays([processnames, dsnames, ids], names = ("process", "dataset", "id")) diff --git a/validphys2/src/validphys/theorycovariance/theorycovarianceutils.py b/validphys2/src/validphys/theorycovariance/theorycovarianceutils.py new file mode 100644 index 0000000000..b219c95617 --- /dev/null +++ b/validphys2/src/validphys/theorycovariance/theorycovarianceutils.py @@ -0,0 +1,116 @@ +""" +theorycovariance.py + +Low level utilities for theorycovariance module +""" +from reportengine.checks import make_argcheck, check + +def check_correct_theory_combination_internal(theoryids, + fivetheories:(str, type(None)) = None): + """Checks that a valid theory combination corresponding to an existing + prescription has been inputted""" + l = len(theoryids) + check(l in {3, 5, 7, 9}, + "Expecting exactly 3, 5, 7 or 9 theories, but got {l}.") + opts = {'bar', 'nobar', 'linear'} + xifs = [theoryid.get_description()['XIF'] for theoryid in theoryids] + xirs = [theoryid.get_description()['XIR'] for theoryid in theoryids] + if l == 3: + correct_xifs = [1.0, 2.0, 0.5] + correct_xirs = [1.0, 2.0, 0.5] + elif l == 5: + check( + fivetheories is not None, + "For five input theories a prescription bar, nobar or linear " + "for the flag fivetheories must be specified.") + check(fivetheories in opts, + "Invalid choice of prescription for 5 points", fivetheories, + opts) + if fivetheories in ("nobar", "linear"): + correct_xifs = [1.0, 2.0, 0.5, 1.0, 1.0] + correct_xirs = [1.0, 1.0, 1.0, 2.0, 0.5] + elif fivetheories == "bar": + correct_xifs = [1.0, 2.0, 0.5, 2.0, 0.5] + correct_xirs = [1.0, 2.0, 0.5, 0.5, 2.0] + elif l == 7: + correct_xifs = [1.0, 2.0, 0.5, 1.0, 1.0, 2.0, 0.5] + correct_xirs = [1.0, 1.0, 1.0, 2.0, 0.5, 2.0, 0.5] + else: + correct_xifs = [1.0, 2.0, 0.5, 1.0, 1.0, 2.0, 0.5, 2.0, 0.5] + correct_xirs = [1.0, 1.0, 1.0, 2.0, 0.5, 2.0, 0.5, 0.5, 2.0] + check( + xifs == correct_xifs and xirs == correct_xirs, + "Choice of input theories does not correspond to a valid " + "prescription for theory covariance matrix calculation") + +check_correct_theory_combination = make_argcheck(check_correct_theory_combination_internal) + +@make_argcheck +def check_correct_theory_combination_theoryconfig(collected_theoryids, + fivetheories:(str, type(None)) = None): + check_correct_theory_combination_internal(collected_theoryids[0], fivetheories) + +@make_argcheck +def check_correct_theory_combination_dataspecs(dataspecs_theoryids, + fivetheories:(str, type(None)) = None): + """Like check_correct_theory_combination but for matched dataspecs.""" + return check_correct_theory_combination.__wrapped__( + dataspecs_theoryids, fivetheories) + +def process_lookup(name): + """Produces a dictionary with keys corresponding to dataset names + and values corresponding to process types. Process types are + regrouped into the five categories 'Drell-Yan', 'Top', Jets', + 'DIS NC' and 'DIS CC'.""" + process_dictionary = { "ATLASZPT8TEVMDIST": "DY", + "ATLASZPT8TEVYDIST": "DY", + "CMSZDIFF12": "DY", + "ATLAS1JET11": "JETS", + "CMSJETS11": "JETS", + "CDFR2KT": "JETS", + "CMSTOPDIFF8TEVTTRAPNORM": "TOP", + "ATLASTOPDIFF8TEVTRAPNORM": "TOP", + "ATLASTTBARTOT": "TOP", + "CMSTTBARTOT": "TOP", + "DYE605": "DY", + "DYE886P": "DY", + "DYE886R": "DY", + "ATLASWZRAP36PB": "DY", + "ATLASZHIGHMASS49FB": "DY", + "ATLASLOMASSDY11EXT": "DY", + "ATLASWZRAP11": "DY", + "CMSWEASY840PB": "DY", + "CMSWMASY47FB": "DY", + "CMSDY2D11": "DY", + "CMSWMU8TEV": "DY", + "CMSWCHARMRAT": "DY", + "LHCBZ940PB": "DY", + "LHCBZEE2FB": "DY", + "LHCBWZMU7TEV": "DY", + "LHCBWZMU8TEV": "DY", + "D0WEASY": "DY", + "D0WMASY": "DY", + "D0ZRAP": "DY", + "CDFZRAP": "DY", + "H1HERAF2B": "DIS NC", + "HERACOMBCCEM": "DIS CC", + "HERACOMBCCEP": "DIS CC", + "HERACOMBNCEM": "DIS NC", + "HERACOMBNCEP460": "DIS NC", + "HERACOMBNCEP575": "DIS NC", + "HERACOMBNCEP820": "DIS NC", + "HERACOMBNCEP920": "DIS NC", + "HERAF2CHARM": "DIS NC", + "ZEUSHERAF2B": "DIS NC", + "NMCPD": "DIS NC", + "NMC": "DIS NC", + "SLACP": "DIS NC", + "SLACD": "DIS NC", + "BCDMSP": "DIS NC", + "BCDMSD": "DIS NC", + "CHORUSNU": "DIS CC", + "CHORUSNB": "DIS CC", + "NTVNUDMN": "DIS CC", + "NTVNBDMN": "DIS CC" } + proc = process_dictionary[name] + return proc \ No newline at end of file From 46cd86eae2c77e564f4f1fef04072a76e11c986b Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Mon, 6 May 2019 14:55:59 +0100 Subject: [PATCH 302/429] add new line at end of file --- .../src/validphys/theorycovariance/theorycovarianceutils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/theorycovarianceutils.py b/validphys2/src/validphys/theorycovariance/theorycovarianceutils.py index b219c95617..7c1ce0a001 100644 --- a/validphys2/src/validphys/theorycovariance/theorycovarianceutils.py +++ b/validphys2/src/validphys/theorycovariance/theorycovarianceutils.py @@ -113,4 +113,4 @@ def process_lookup(name): "NTVNUDMN": "DIS CC", "NTVNBDMN": "DIS CC" } proc = process_dictionary[name] - return proc \ No newline at end of file + return proc From b49ca6829897bdb1be946f23bafc0b9f64bda6d9 Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 7 May 2019 18:10:55 +0100 Subject: [PATCH 303/429] Bump reportengine requirement We need this for the api module. --- conda-recipe/meta.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/conda-recipe/meta.yaml b/conda-recipe/meta.yaml index 8c8d6f257c..5734fc010f 100644 --- a/conda-recipe/meta.yaml +++ b/conda-recipe/meta.yaml @@ -31,7 +31,7 @@ requirements: - apfel - pkg-config - python # requirements for validphys - - reportengine >=0.26 # see https://github.com/NNPDF/reportengine + - reportengine >=0.28 # see https://github.com/NNPDF/reportengine - matplotlib >=2.0.1,<3 | >=3.0.2 - blessings - scipy >=0.19.1 From 066a8921446f3243343f4b55d48532b5f20c8962 Mon Sep 17 00:00:00 2001 From: Zahari Date: Mon, 18 Mar 2019 16:55:44 +0000 Subject: [PATCH 304/429] Add .pylintrc Add the pylint configuration the CI script runs out. It is heavily edited in that it removes many pointless and harmful warnings. Ideally people should teach their editor of choice to use it. --- .pylintrc | 503 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 503 insertions(+) create mode 100644 .pylintrc diff --git a/.pylintrc b/.pylintrc new file mode 100644 index 0000000000..75d5f50c28 --- /dev/null +++ b/.pylintrc @@ -0,0 +1,503 @@ +[MASTER] + +# A comma-separated list of package or module names from where C extensions may +# be loaded. Extensions are loading into the active Python interpreter and may +# run arbitrary code +extension-pkg-whitelist=numpy + +# Add files or directories to the blacklist. They should be base names, not +# paths. +ignore=CVS + +# Add files or directories matching the regex patterns to the blacklist. The +# regex matches against base names, not paths. +ignore-patterns= + +# Python code to execute, usually for sys.path manipulation such as +# pygtk.require(). +#init-hook= + +# Use multiple processes to speed up Pylint. +jobs=2 + +# List of plugins (as comma separated values of python modules names) to load, +# usually to register additional checkers. +load-plugins= + +# Pickle collected data for later comparisons. +persistent=yes + +# Specify a configuration file. +#rcfile= + +# Allow loading of arbitrary C extensions. Extensions are imported into the +# active Python interpreter and may run arbitrary code. +unsafe-load-any-extension=no + + +[MESSAGES CONTROL] + +# Only show warnings with the listed confidence levels. Leave empty to show +# all. Valid levels: HIGH, INFERENCE, INFERENCE_FAILURE, UNDEFINED +confidence= + +# Disable the message, report, category or checker with the given id(s). You +# can either give multiple identifiers separated by comma (,) or put this +# option multiple times (only on the command line, not in the configuration +# file where it should appear only once).You can also use "--disable=all" to +# disable everything first and then reenable specific checks. For example, if +# you want to run only the similarities checker, you can use "--disable=all +# --enable=similarities". If you want to run only the classes checker, but have +# no Warning level messages displayed, use"--disable=all --enable=classes +# --disable=W" +disable= + print-statement, + parameter-unpacking, + unpacking-in-except, + old-raise-syntax, + backtick, + long-suffix, + old-ne-operator, + old-octal-literal, + import-star-module-level, + raw-checker-failed, + bad-inline-option, + locally-disabled, + locally-enabled, + file-ignored, + suppressed-message, + useless-suppression, + deprecated-pragma, + apply-builtin, + basestring-builtin, + buffer-builtin, + cmp-builtin, + coerce-builtin, + execfile-builtin, + file-builtin, + long-builtin, + raw_input-builtin, + reduce-builtin, + standarderror-builtin, + unicode-builtin, + xrange-builtin, + coerce-method, + delslice-method, + getslice-method, + setslice-method, + no-absolute-import, + old-division, + dict-iter-method, + dict-view-method, + next-method-called, + metaclass-assignment, + indexing-exception, + raising-string, + reload-builtin, + oct-method, + hex-method, + nonzero-method, + cmp-method, + input-builtin, + round-builtin, + intern-builtin, + unichr-builtin, + map-builtin-not-iterating, + zip-builtin-not-iterating, + range-builtin-not-iterating, + filter-builtin-not-iterating, + using-cmp-argument, + eq-without-hash, + div-method, + idiv-method, + rdiv-method, + exception-message-attribute, + invalid-str-codec, + sys-max-int, + bad-python3-import, + deprecated-string-function, + deprecated-str-translate-call, + invalid-name, + too-few-public-methods, + too-many-arguments, + bad-continuation, + redefined-outer-name, + missing-docstring, + bad-whitespace, + no-self-use, + no-else-return, + global-statement, + too-many-public-method, + too-many-ancestors + +# Enable the message, report, category or checker with the given id(s). You can +# either give multiple identifier separated by comma (,) or put this option +# multiple time (only on the command line, not in the configuration file where +# it should appear only once). See also the "--disable" option for examples. +enable= + + +[REPORTS] + +# Python expression which should return a note less than 10 (10 is the highest +# note). You have access to the variables errors warning, statement which +# respectively contain the number of errors / warnings messages and the total +# number of statements analyzed. This is used by the global evaluation report +# (RP0004). +evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10) + +# Template used to display messages. This is a python new-style format string +# used to format the message information. See doc for all details +#msg-template= + +# Set the output format. Available formats are text, parseable, colorized, json +# and msvs (visual studio).You can also give a reporter class, eg +# mypackage.mymodule.MyReporterClass. +output-format=text + +# Tells whether to display a full report or only the messages +reports=no + +# Activate the evaluation score. +score=yes + + +[REFACTORING] + +# Maximum number of nested blocks for function / method body +max-nested-blocks=5 + + +[MISCELLANEOUS] + +# List of note tags to take in consideration, separated by a comma. +notes=FIXME,XXX,TODO + + +[SIMILARITIES] + +# Ignore comments when computing similarities. +ignore-comments=yes + +# Ignore docstrings when computing similarities. +ignore-docstrings=yes + +# Ignore imports when computing similarities. +ignore-imports=no + +# Minimum lines number of a similarity. +min-similarity-lines=4 + + +[BASIC] + +# Naming hint for argument names +argument-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Regular expression matching correct argument names +argument-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Naming hint for attribute names +attr-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Regular expression matching correct attribute names +attr-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Bad variable names which should always be refused, separated by a comma +bad-names=foo,bar,baz,toto,tutu,tata + +# Naming hint for class attribute names +class-attribute-name-hint=([A-Za-z_][A-Za-z0-9_]{2,30}|(__.*__))$ + +# Regular expression matching correct class attribute names +class-attribute-rgx=([A-Za-z_][A-Za-z0-9_]{2,30}|(__.*__))$ + +# Naming hint for class names +class-name-hint=[A-Z_][a-zA-Z0-9]+$ + +# Regular expression matching correct class names +class-rgx=[A-Z_][a-zA-Z0-9]+$ + +# Naming hint for constant names +const-name-hint=(([A-Z_][A-Z0-9_]*)|(__.*__))$ + +# Regular expression matching correct constant names +const-rgx=(([A-Z_][A-Z0-9_]*)|(__.*__))$ + +# Minimum line length for functions/classes that require docstrings, shorter +# ones are exempt. +docstring-min-length=-1 + +# Naming hint for function names +function-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Regular expression matching correct function names +function-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Good variable names which should always be accepted, separated by a comma +good-names=i,j,k,ex,Run,_ + +# Include a hint for the correct naming format with invalid-name +include-naming-hint=no + +# Naming hint for inline iteration names +inlinevar-name-hint=[A-Za-z_][A-Za-z0-9_]*$ + +# Regular expression matching correct inline iteration names +inlinevar-rgx=[A-Za-z_][A-Za-z0-9_]*$ + +# Naming hint for method names +method-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Regular expression matching correct method names +method-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Naming hint for module names +module-name-hint=(([a-z_][a-z0-9_]*)|([A-Z][a-zA-Z0-9]+))$ + +# Regular expression matching correct module names +module-rgx=(([a-z_][a-z0-9_]*)|([A-Z][a-zA-Z0-9]+))$ + +# Colon-delimited sets of names that determine each other's naming style when +# the name regexes allow several styles. +name-group= + +# Regular expression which should only match function or class names that do +# not require a docstring. +no-docstring-rgx=^_ + +# List of decorators that produce properties, such as abc.abstractproperty. Add +# to this list to register other decorators that produce valid properties. +property-classes=abc.abstractproperty + +# Naming hint for variable names +variable-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Regular expression matching correct variable names +variable-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + + +[VARIABLES] + +# List of additional names supposed to be defined in builtins. Remember that +# you should avoid to define new builtins when possible. +additional-builtins= + +# Tells whether unused global variables should be treated as a violation. +allow-global-unused-variables=yes + +# List of strings which can identify a callback function by name. A callback +# name must start or end with one of those strings. +callbacks=cb_,_cb + +# A regular expression matching the name of dummy variables (i.e. expectedly +# not used). +dummy-variables-rgx=_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_ + +# Argument names that match this expression will be ignored. Default to name +# with leading underscore +ignored-argument-names=_.*|^ignored_|^unused_ + +# Tells whether we should check for unused import in __init__ files. +init-import=no + +# List of qualified module names which can have objects that can redefine +# builtins. +redefining-builtins-modules=six.moves,future.builtins + + +[FORMAT] + +# Expected format of line ending, e.g. empty (any line ending), LF or CRLF. +expected-line-ending-format= + +# Regexp for a line that is allowed to be longer than the limit. +ignore-long-lines=^\s*(# )??$ + +# Number of spaces of indent required inside a hanging or continued line. +indent-after-paren=4 + +# String used as indentation unit. This is usually " " (4 spaces) or "\t" (1 +# tab). +indent-string=' ' + +# Maximum number of characters on a single line. +max-line-length=100 + +# Maximum number of lines in a module +max-module-lines=1000 + +# List of optional constructs for which whitespace checking is disabled. `dict- +# separator` is used to allow tabulation in dicts, etc.: {1 : 1,\n222: 2}. +# `trailing-comma` allows a space between comma and closing bracket: (a, ). +# `empty-line` allows space-only lines. +no-space-check=trailing-comma,dict-separator + +# Allow the body of a class to be on the same line as the declaration if body +# contains single statement. +single-line-class-stmt=no + +# Allow the body of an if to be on the same line as the test if there is no +# else. +single-line-if-stmt=no + + +[SPELLING] + +# Spelling dictionary name. Available dictionaries: none. To make it working +# install python-enchant package. +spelling-dict= + +# List of comma separated words that should not be checked. +spelling-ignore-words= + +# A path to a file that contains private dictionary; one word per line. +spelling-private-dict-file= + +# Tells whether to store unknown words to indicated private dictionary in +# --spelling-private-dict-file option instead of raising a message. +spelling-store-unknown-words=no + + +[TYPECHECK] + +# List of decorators that produce context managers, such as +# contextlib.contextmanager. Add to this list to register other decorators that +# produce valid context managers. +contextmanager-decorators=contextlib.contextmanager + +# List of members which are set dynamically and missed by pylint inference +# system, and so shouldn't trigger E1101 when accessed. Python regular +# expressions are accepted. +generated-members= + +# Tells whether missing members accessed in mixin class should be ignored. A +# mixin class is detected if its name ends with "mixin" (case insensitive). +ignore-mixin-members=yes + +# This flag controls whether pylint should warn about no-member and similar +# checks whenever an opaque object is returned when inferring. The inference +# can return multiple potential results while evaluating a Python object, but +# some branches might not be evaluated, which results in partial inference. In +# that case, it might be useful to still emit no-member and other checks for +# the rest of the inferred objects. +ignore-on-opaque-inference=yes + +# List of class names for which member attributes should not be checked (useful +# for classes with dynamically set attributes). This supports the use of +# qualified names. +ignored-classes=optparse.Values,thread._local,_thread._local + +# List of module names for which member attributes should not be checked +# (useful for modules/projects where namespaces are manipulated during runtime +# and thus existing member attributes cannot be deduced by static analysis. It +# supports qualified module names, as well as Unix pattern matching. +ignored-modules=matplotlib.cm + +# Show a hint with possible names when a member name was not found. The aspect +# of finding the hint is based on edit distance. +missing-member-hint=yes + +# The minimum edit distance a name should have in order to be considered a +# similar match for a missing member name. +missing-member-hint-distance=1 + +# The total number of similar names that should be taken in consideration when +# showing a hint for a missing member. +missing-member-max-choices=1 + + +[LOGGING] + +# Logging modules to check that the string format arguments are in logging +# function parameter format +logging-modules=logging + + +[DESIGN] + +# Maximum number of arguments for function / method +max-args=5 + +# Maximum number of attributes for a class (see R0902). +max-attributes=7 + +# Maximum number of boolean expressions in a if statement +max-bool-expr=5 + +# Maximum number of branch for function / method body +max-branches=12 + +# Maximum number of locals for function / method body +max-locals=22 + +# Maximum number of parents for a class (see R0901). +max-parents=7 + +# Maximum number of public methods for a class (see R0904). +max-public-methods=20 + +# Maximum number of return / yield for function / method body +max-returns=6 + +# Maximum number of statements in function / method body +max-statements=50 + +# Minimum number of public methods for a class (see R0903). +min-public-methods=2 + + +[CLASSES] + +# List of method names used to declare (i.e. assign) instance attributes. +defining-attr-methods=__init__,__new__,setUp + +# List of member names, which should be excluded from the protected access +# warning. +exclude-protected=_asdict,_fields,_replace,_source,_make + +# List of valid names for the first argument in a class method. +valid-classmethod-first-arg=cls + +# List of valid names for the first argument in a metaclass class method. +valid-metaclass-classmethod-first-arg=mcs + + +[IMPORTS] + +# Allow wildcard imports from modules that define __all__. +allow-wildcard-with-all=no + +# Analyse import fallback blocks. This can be used to support both Python 2 and +# 3 compatible code, which means that the block might have code that exists +# only in one or another interpreter, leading to false positives when analysed. +analyse-fallback-blocks=no + +# Deprecated modules which should not be used, separated by a comma +deprecated-modules=optparse,tkinter.tix + +# Create a graph of external dependencies in the given file (report RP0402 must +# not be disabled) +ext-import-graph= + +# Create a graph of every (i.e. internal and external) dependencies in the +# given file (report RP0402 must not be disabled) +import-graph= + +# Create a graph of internal dependencies in the given file (report RP0402 must +# not be disabled) +int-import-graph= + +# Force import order to recognize a module as part of the standard +# compatibility libraries. +known-standard-library= + +# Force import order to recognize a module as part of a third party library. +known-third-party=enchant + + +[EXCEPTIONS] + +# Exceptions that will emit a warning when being caught. Defaults to +# "Exception" +overgeneral-exceptions=Exception From 48fc14f29a13d8fea8bc5b7b42f6930f7e5b2dc2 Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 7 May 2019 18:43:04 +0100 Subject: [PATCH 305/429] Add information on python tools to docs --- doc/validphys2/guide.md | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index b19109d8ea..197056b33b 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -2926,6 +2926,24 @@ a string in Pandoc Markdown describing your object. Raw HTML is also allowed (although that decreases the compatibility, e.g. if we decide to output LaTeX instead of HTML in the future). +Python static checks and code style +----------------------------------- + +We use [Pylint](https://www.pylint.org/) to provide static checking (e.g. +finding basic errors that a compiler would catch in compiled languages) such as +uses of unknown variable names, as well as to provide basic guidelines on the +structure of the code (e.g. avoid functions that are too complicated). Because +Pylint is way too pendantic by default, we limit the checks to only those +considered useful. The `.pylintrc` file at the top level configures Pylint to +only mind those checks. Most Python IDEs and editors have some kind of support +for pylint. It is strongly recommended to configure the editor to show the +problematic pieces of code proactively. + +New code should use the [Black](https://black.readthedocs.io/en/stable/) tool to +format the code. This tool should not be used to aggressively reformat existing +files. + + Example pull request -------------------- From 6042c5ac0a5913767d93d3de4b8d9daba87e997e Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 8 May 2019 14:07:04 +0100 Subject: [PATCH 306/429] adding cos angle function --- .../src/validphys/theorycovariance/tests.py | 17 +++++++++++++++-- 1 file changed, 15 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 699fe1dcb0..4fe0066e74 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -550,9 +550,10 @@ def efficiency(theory_shift_test): covariance matrix encapsulates the NNLO-NLO shift.""" f = theory_shift_test[3] fmiss = theory_shift_test[4] + fs = f - fmiss fmod = np.sqrt(np.sum(f**2)) - fmiss_mod = np.sqrt(np.sum(fmiss**2)) - efficiency = 1 - fmiss_mod/fmod + fs_mod = np.sqrt(np.sum(fs**2)) + efficiency = fs_mod/fmod print(f"efficiency = {efficiency}") return efficiency @@ -566,6 +567,18 @@ def validation_theory_chi2(theory_shift_test): print(f"Theory chi2 = {th_chi2}") return th_chi2 +def costheta(theory_shift_test): + """Returns the cosine of the angle between the NNLO-NLO + shift vector and the component of this which is captured + by the theory covariance matrix""" + f = theory_shift_test[3] + fmiss = theory_shift_test[4] + fs = f - fmiss + fmod = np.sqrt(np.sum(f**2)) + fs_mod = np.sqrt(np.sum(fs**2)) + costheta = f@fs/(fmod*fs_mod) + return costheta + @figure def projector_eigenvalue_ratio(theory_shift_test): """Produces a plot of the ratio between the projectors and the square roots From 5e7c56b1f0798544ebe047d6069f7cfd2a94156b Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 10 May 2019 10:18:54 +0100 Subject: [PATCH 307/429] adding theta calculation and changing line on plot --- validphys2/src/validphys/theorycovariance/tests.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 4fe0066e74..cdd31d2d2c 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -579,6 +579,10 @@ def costheta(theory_shift_test): costheta = f@fs/(fmod*fs_mod) return costheta +def theta(costheta): + th = np.arccos(costheta) + return th + @figure def projector_eigenvalue_ratio(theory_shift_test): """Produces a plot of the ratio between the projectors and the square roots @@ -609,7 +613,7 @@ def projector_eigenvalue_ratio(theory_shift_test): labels = [item.get_text() for item in ax1.get_xticklabels()] ax1.set_xticklabels(labels) ax2.set_xticklabels(labels) - ax2.axhline(y=3, color='k', label=r'|$\delta_a$/$s_a$| = 3') + ax2.axhline(y=1, color='k', label=r'|$\delta_a$/$s_a$| = 1') ax2.legend() ax2.set_ylabel(r"|$\delta_a$/$s_a$|") print(f"Subspace dimension = {len(evals)}") From 8c5093a79dc4284325832828e964a1e8e22a0e57 Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Fri, 10 May 2019 10:41:00 +0100 Subject: [PATCH 308/429] Update tests.py --- validphys2/src/validphys/theorycovariance/tests.py | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index cdd31d2d2c..b7426723ba 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -567,8 +567,8 @@ def validation_theory_chi2(theory_shift_test): print(f"Theory chi2 = {th_chi2}") return th_chi2 -def costheta(theory_shift_test): - """Returns the cosine of the angle between the NNLO-NLO +def theta(costheta): + """Returns the angle between the NNLO-NLO shift vector and the component of this which is captured by the theory covariance matrix""" f = theory_shift_test[3] @@ -577,9 +577,6 @@ def costheta(theory_shift_test): fmod = np.sqrt(np.sum(f**2)) fs_mod = np.sqrt(np.sum(fs**2)) costheta = f@fs/(fmod*fs_mod) - return costheta - -def theta(costheta): th = np.arccos(costheta) return th From a44e882e31f50515f0e74f0c0523cfd462eb60f3 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Mon, 13 May 2019 17:49:13 +0200 Subject: [PATCH 309/429] Corrected correspondence in the ATLAS top diff SF data sets --- .../DATA_ATLASTOPDIFF8TEVTPT_SF.dat | 9 --- .../DATA_ATLASTOPDIFF8TEVTRAP_SF.dat | 11 ---- .../DATA_ATLASTOPDIFF8TEVTTM_SF.dat | 8 --- .../DATA_ATLASTOPDIFF8TEVTTPTNORM_SF.dat | 7 -- .../DATA_ATLASTOPDIFF8TEVTTPT_SF.dat | 7 -- .../DATA_ATLASTOPDIFF8TEVTTRAP_SF.dat | 11 ---- .../PLOTTING_ATLASTOPDIFF8TEVTPTNORM.yaml | 6 +- .../PLOTTING_ATLASTOPDIFF8TEVTPTNORM_SF.yaml | 7 ++ .../PLOTTING_ATLASTOPDIFF8TEVTRAPNORM.yaml | 6 +- .../PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml | 7 +- .../PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml | 6 +- .../PLOTTING_ATLASTOPDIFF8TEVTTMNORM_SF.yaml | 7 ++ .../PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml | 6 +- ...PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM_SF.yaml | 7 ++ ...SYSTYPE_ATLASTOPDIFF8TEVTPT_SF_DEFAULT.dat | 66 ------------------- ...YSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat | 58 ---------------- ...SYSTYPE_ATLASTOPDIFF8TEVTTM_SF_DEFAULT.dat | 65 ------------------ ...PE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat | 57 ---------------- ...YSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat | 58 ---------------- ...STYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat | 58 ---------------- 20 files changed, 36 insertions(+), 431 deletions(-) delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTPT_SF.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTRAP_SF.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTM_SF.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM_SF.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT_SF.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAP_SF.dat create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTPTNORM_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM_SF.yaml create mode 100644 nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM_SF.yaml delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPT_SF_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTM_SF_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTPT_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTPT_SF.dat deleted file mode 100644 index 6f6204da5a..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTPT_SF.dat +++ /dev/null @@ -1,9 +0,0 @@ -ATLASTOPDIFF8TEVTPT 65 8 - 1 HQP_PTQ 3.000000000000e+01 3.003289000000e+04 8.000000000000e+03 1.043653792000e+00 0.000000000000e+00 5.319694433535e-03 5.097183064262e-01 3.304963942168e-03 3.166724413308e-01 -3.359856719797e-03 -3.219321144187e-01 1.735875557504e-03 1.663267618831e-01 -1.849837413106e-04 -1.772462695279e-02 -1.466872222524e-05 -1.405516114413e-03 -3.240908256526e-06 -3.105348039138e-04 4.846979125695e-07 4.644240420385e-05 2.720827795165e-03 2.608155478494e-01 5.862784000000e-03 5.620000000000e-01 5.216000000000e-04 5.000000000000e-02 1.812918330048e-03 1.737843491227e-01 4.038447368217e-03 3.871211050821e-01 1.669120000000e-04 1.600000000000e-02 1.766954163507e-03 1.693782748761e-01 2.610961007102e-03 2.502838388710e-01 3.704094575034e-04 3.550704155516e-02 0.000000000000e+00 0.000000000000e+00 3.298598400000e-02 3.162000000000e+00 1.641076617385e-03 1.573117923107e-01 1.855393594453e-03 1.778559810633e-01 1.658491158131e-04 1.589811309558e-02 5.707524432562e-03 5.471169893176e-01 2.315904000000e-03 2.220000000000e-01 4.022412003164e-04 3.855839726960e-02 0.000000000000e+00 0.000000000000e+00 5.993188539598e-03 5.745004351608e-01 3.672064000000e-03 3.520000000000e-01 1.356160000000e-03 1.300000000000e-01 9.180160000000e-04 8.800000000000e-02 1.162646634006e-02 1.114500224316e+00 1.470912000000e-03 1.410000000000e-01 5.007360000000e-04 4.800000000000e-02 2.920960000000e-02 2.800000000000e+00 2.019186496023e-02 1.935569877323e+00 2.348868526957e-03 2.251599431515e-01 4.317638323343e-04 4.138840417315e-02 1.076437332862e-02 1.031860940243e+00 1.362419200000e-02 1.306000000000e+00 6.261807456893e-04 6.002499479384e-02 2.685606915690e-04 2.574393132371e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.928421724085e-03 4.724330640419e-01 1.418752000000e-03 1.360000000000e-01 1.147238657147e-02 1.099730307848e+00 0.000000000000e+00 0.000000000000e+00 2.336768000000e-03 2.240000000000e-01 5.530095076996e-02 5.301088072273e+00 1.556454400000e-02 1.492000000000e+00 2.046758400000e-02 1.962000000000e+00 9.243640914365e-03 8.860852103494e-01 3.640768000000e-03 3.490000000000e-01 4.172800000000e-05 4.000000000000e-03 1.218033726272e-03 1.167593679325e-01 1.325907200000e-02 1.271000000000e+00 4.624880459068e-03 4.433359335763e-01 2.237238411742e-03 2.144592035796e-01 4.180970786166e-02 4.007832425389e+00 1.520663858974e-02 1.457691582606e+00 7.684886998467e-04 7.366647812947e-02 1.773440000000e-03 1.700000000000e-01 5.773230819844e-03 5.534155310434e-01 1.761965417643e-02 1.689000592066e+00 2.920960000000e-02 2.800000000000e+00 - 2 HQP_PTQ 8.000000000000e+01 3.003289000000e+04 8.000000000000e+03 1.791518495600e+00 0.000000000000e+00 8.672826860969e-03 4.841047905600e-01 -9.045568890041e-04 -5.049107174867e-02 1.593709253901e-03 8.895857105661e-02 -2.080318960697e-03 -1.161204288879e-01 8.080216628644e-05 4.510261350072e-03 -1.917017786575e-05 -1.070051909195e-03 -4.237640466740e-06 -2.365390297196e-04 -2.053202659246e-07 -1.146068357256e-05 4.530407301516e-03 2.521487656127e-01 8.193043200000e-03 4.560000000000e-01 1.257704000000e-03 7.000000000000e-02 4.348136643994e-03 2.420041321961e-01 4.276495559087e-03 2.380168061293e-01 3.413768000000e-04 1.900000000000e-02 2.996094575479e-03 1.667535606816e-01 5.310721074792e-03 2.955786697311e-01 6.535221686648e-04 3.637306695895e-02 0.000000000000e+00 0.000000000000e+00 1.149900800000e-01 6.400000000000e+00 2.364786594680e-03 1.316168682198e-01 2.636835812303e-03 1.467583047054e-01 2.335736000000e-04 1.300000000000e-02 1.017906103181e-02 5.665357446799e-01 4.096521600000e-03 2.280000000000e-01 3.676696758070e-04 2.046338192968e-02 0.000000000000e+00 0.000000000000e+00 9.926886129951e-03 5.525004524885e-01 6.665831200000e-03 3.710000000000e-01 2.677112800000e-03 1.490000000000e-01 1.347540000000e-03 7.500000000000e-02 1.977290768160e-02 1.100500227169e+00 2.317768800000e-03 1.290000000000e-01 6.738897706880e-04 3.750666607418e-02 5.030816000000e-02 2.800000000000e+00 3.422811961714e-02 1.905033595504e+00 4.045493730592e-03 2.251599431515e-01 4.490901550146e-04 2.499499949990e-02 1.675293754170e-02 9.324178247974e-01 2.312378640000e-02 1.287000000000e+00 3.270030400000e-03 1.820000000000e-01 4.239459736499e-04 2.359555042799e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 6.007550349216e-03 3.343620791896e-01 4.222292000000e-03 2.350000000000e-01 1.925306626930e-02 1.071567426717e+00 0.000000000000e+00 0.000000000000e+00 6.450224800000e-03 3.590000000000e-01 1.096068400990e-01 6.100385151775e+00 2.427368720000e-02 1.351000000000e+00 1.100131656000e-01 6.123000000000e+00 1.690868172140e-02 9.410860747031e-01 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3.800000000000e-02 1.414894635000e-04 3.245000000000e+00 3.021861923415e-04 6.930510370817e+00 1.249205895000e-04 2.865000000000e+00 3.761570421000e-04 8.627000000000e+00 4.344423858556e-05 9.963749294317e-01 2.502772020000e-05 5.740000000000e-01 2.616138000000e-06 6.000000000000e-02 2.505250958005e-05 5.745685337712e-01 6.113042460000e-05 1.402000000000e+00 7.740697788062e-06 1.775295750009e-01 8.248509687129e-05 1.891760225293e+00 2.621483231953e-04 6.012259059621e+00 3.268372683134e-05 7.495872197416e-01 2.104365532203e-05 4.826271853097e-01 1.356031530000e-05 3.110000000000e-01 2.298250720730e-05 5.270939195248e-01 5.873302641898e-05 1.347016703683e+00 1.220864400000e-04 2.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM_SF.dat deleted file mode 100644 index 553e4f8a9b..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPTNORM_SF.dat +++ /dev/null @@ -1,7 +0,0 @@ -ATLASTOPDIFF8TEVTTPTNORM 56 6 - 1 HQP_PTQQ 1.000000000000e+01 3.003289000000e+04 8.000000000000e+03 1.536633638400e-02 5.928227200000e-05 2.115224026671e-06 1.366565036872e-02 9.906176000000e-06 6.400000000000e-02 1.238272000000e-06 8.000000000000e-03 9.000855961317e-05 5.815107479660e-01 1.269417546941e-05 8.201219421525e-02 4.333952000000e-06 2.800000000000e-02 2.695464590622e-05 1.741436188897e-01 8.310906318161e-06 5.369357503464e-02 8.042812565962e-07 5.196152422707e-03 2.852833725473e-04 1.843106345277e+00 1.001452480000e-04 6.470000000000e-01 4.356007877811e-06 2.814249455894e-02 1.435407765207e-06 9.273618495496e-03 1.547840000000e-07 1.000000000000e-03 1.638372371880e-05 1.058489489792e-01 6.191360000000e-07 4.000000000000e-03 4.021406282981e-07 2.598076211353e-03 0.000000000000e+00 0.000000000000e+00 2.244368000000e-05 1.450000000000e-01 0.000000000000e+00 0.000000000000e+00 1.238272000000e-06 8.000000000000e-03 8.048768000000e-06 5.200000000000e-02 6.504612289329e-06 4.202380277890e-02 5.572224000000e-06 3.600000000000e-02 5.361875043975e-07 3.464101615138e-03 0.000000000000e+00 0.000000000000e+00 2.341898288376e-04 1.513010574980e+00 1.432233004607e-05 9.253107586103e-02 2.940896000000e-06 1.900000000000e-02 5.805431801626e-06 3.750666607418e-02 7.739200000000e-07 5.000000000000e-03 8.361201879049e-06 5.401851534428e-02 2.680937521987e-07 1.732050807569e-03 0.000000000000e+00 0.000000000000e+00 4.879306290017e-05 3.152332469775e-01 2.126069662402e-05 1.373571985736e-01 1.083488000000e-05 7.000000000000e-02 6.803822067219e-05 4.395688228253e-01 1.547840000000e-07 1.000000000000e-03 3.792208000000e-05 2.450000000000e-01 2.270468006753e-04 1.466862212343e+00 6.500928000000e-06 4.200000000000e-02 4.666737600000e-04 3.015000000000e+00 1.662704396536e-04 1.074209476778e+00 3.405248000000e-06 2.200000000000e-02 4.643520000000e-07 3.000000000000e-03 6.979025015835e-06 4.508880127038e-02 1.320208621478e-06 8.529361054616e-03 2.969947620569e-05 1.918769136712e-01 3.193355602538e-05 2.063104456880e-01 1.191836800000e-05 7.700000000000e-02 1.450431798409e-04 9.370683006057e-01 2.710930298205e-06 1.751427988814e-02 1.439491200000e-05 9.300000000000e-02 1.012031721115e-06 6.538348415311e-03 2.044754053395e-04 1.321037092591e+00 - 2 HQP_PTQQ 3.250000000000e+01 3.003289000000e+04 8.000000000000e+03 1.165863734750e-02 2.109464500000e-05 7.620118160624e-07 6.538348415311e-03 5.827250000000e-07 5.000000000000e-03 1.048905000000e-06 9.000000000000e-03 3.275080396154e-05 2.810142345149e-01 8.173120621216e-06 7.012845356915e-02 8.158150000000e-07 7.000000000000e-03 8.289455145513e-06 7.112664760833e-02 9.539619387979e-07 8.185352771872e-03 2.018618613681e-07 1.732050807569e-03 4.138168158046e-06 3.550704155516e-02 3.271418150000e-04 2.807000000000e+00 2.854757820727e-07 2.449489742783e-03 3.027927920522e-07 2.598076211353e-03 1.165450000000e-07 1.000000000000e-03 1.094949423651e-05 9.395078498874e-02 2.330900000000e-07 2.000000000000e-03 4.037237227362e-07 3.464101615138e-03 0.000000000000e+00 0.000000000000e+00 5.361070000000e-06 4.600000000000e-02 1.864720000000e-06 1.600000000000e-02 1.165450000000e-06 1.000000000000e-02 9.323600000000e-07 8.000000000000e-03 6.992700000000e-07 6.000000000000e-03 1.281995000000e-06 1.100000000000e-02 2.018618613681e-07 1.732050807569e-03 0.000000000000e+00 0.000000000000e+00 8.185707970741e-05 7.023645776945e-01 3.743979782237e-06 3.212475680842e-02 1.664595552409e-06 1.428285685709e-02 5.046546534203e-07 4.330127018922e-03 1.165450000000e-07 1.000000000000e-03 1.575514262493e-06 1.351850583460e-02 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 0.000000000000e+00 4.239099088730e-06 3.637306695895e-02 1.317061633130e-05 1.130088492110e-01 5.827250000000e-07 5.000000000000e-03 1.771790670824e-05 1.520263135118e-01 1.165450000000e-07 1.000000000000e-03 3.834330500000e-05 3.290000000000e-01 5.642968813193e-05 4.841879800243e-01 3.612895000000e-06 3.100000000000e-02 8.612675500000e-05 7.390000000000e-01 6.218336537052e-05 5.335566980181e-01 1.515085000000e-06 1.300000000000e-02 0.000000000000e+00 0.000000000000e+00 1.226494241943e-06 1.052378258992e-02 4.661800000000e-07 4.000000000000e-03 8.742428795230e-06 7.501333214836e-02 1.474501528907e-05 1.265177853110e-01 5.477615000000e-06 4.700000000000e-02 4.661829136159e-05 4.000024999922e-01 2.008500160922e-06 1.723368793961e-02 5.244525000000e-06 4.500000000000e-02 4.456227275460e-06 3.823610858861e-02 6.864500500000e-05 5.890000000000e-01 - 3 HQP_PTQQ 6.000000000000e+01 3.003289000000e+04 8.000000000000e+03 5.853003229900e-03 1.984749580000e-05 3.024358163807e-07 5.196152422707e-03 3.317616600000e-06 5.700000000000e-02 2.328152000000e-07 4.000000000000e-03 1.367117314472e-05 2.348845461072e-01 4.032477551743e-07 6.928203230276e-03 9.312608000000e-07 1.600000000000e-02 6.040589906975e-06 1.037834283496e-01 2.268268622855e-06 3.897114317030e-02 5.230251891697e-07 8.986100377806e-03 8.149878890913e-05 1.400231409446e+00 9.254404200000e-05 1.590000000000e+00 1.687910200000e-06 2.900000000000e-02 9.652008298644e-08 1.658312395178e-03 1.930401659729e-07 3.316624790355e-03 2.128023580829e-06 3.656159186906e-02 0.000000000000e+00 0.000000000000e+00 7.911221848032e-07 1.359227721907e-02 0.000000000000e+00 0.000000000000e+00 4.714507800000e-06 8.100000000000e-02 5.820380000000e-07 1.000000000000e-02 1.105872200000e-06 1.900000000000e-02 2.037133000000e-06 3.500000000000e-02 2.211744400000e-06 3.800000000000e-02 8.730570000000e-07 1.500000000000e-02 5.040596939679e-08 8.660254037844e-04 0.000000000000e+00 0.000000000000e+00 3.935127883312e-05 6.760946679275e-01 3.769342079281e-06 6.476109943477e-02 9.652008298644e-08 1.658312395178e-03 2.172140550538e-06 3.731956591387e-02 9.652008298644e-08 1.658312395178e-03 2.099173122094e-06 3.606591188366e-02 9.652008298644e-08 1.658312395178e-03 0.000000000000e+00 0.000000000000e+00 1.436570127808e-05 2.468172400786e-01 2.562289672177e-06 4.402272140611e-02 3.143005200000e-06 5.400000000000e-02 1.596503816089e-05 2.742954611363e-01 5.820380000000e-08 1.000000000000e-03 1.146614860000e-05 1.970000000000e-01 5.781348618338e-05 9.932940148818e-01 1.338687400000e-06 2.300000000000e-02 9.405734080000e-05 1.616000000000e+00 2.437667631808e-05 4.188158903385e-01 1.862521600000e-06 3.200000000000e-02 1.746114000000e-07 3.000000000000e-03 2.299418448973e-06 3.950632860695e-02 1.164076000000e-07 2.000000000000e-03 6.547022044952e-06 1.124844433688e-01 2.382093178318e-06 4.092676385936e-02 9.030971830409e-07 1.551612064918e-02 2.704095868413e-05 4.645909491155e-01 6.234874079538e-07 1.071214264281e-02 4.772711600000e-06 8.200000000000e-02 2.801501927237e-06 4.813262926540e-02 3.693308588142e-05 6.345476735439e-01 - 4 HQP_PTQQ 9.750000000000e+01 3.003289000000e+04 8.000000000000e+03 2.684057888000e-03 1.399731050000e-05 4.452323606839e-07 1.663580475961e-02 2.315120099864e-06 8.650289012513e-02 6.690875000000e-07 2.500000000000e-02 2.204209429003e-05 8.235878823781e-01 3.987941116760e-06 1.490067112583e-01 1.150830500000e-06 4.300000000000e-02 6.954429943512e-06 2.598475514605e-01 1.483383737228e-06 5.542562584220e-02 2.943985000000e-07 1.100000000000e-02 4.427301580666e-05 1.654231165829e+00 4.316952550000e-05 1.613000000000e+00 1.017013000000e-06 3.800000000000e-02 2.086008380477e-07 7.794228634060e-03 6.953361268255e-08 2.598076211353e-03 5.533948247600e-06 2.067722176696e-01 1.070540000000e-07 4.000000000000e-03 3.060298268007e-07 1.143459662603e-02 0.000000000000e+00 0.000000000000e+00 5.218882500000e-06 1.950000000000e-01 1.873445000000e-07 7.000000000000e-03 2.676350000000e-08 1.000000000000e-03 1.739627500000e-06 6.500000000000e-02 1.606255996398e-06 6.001666435249e-02 1.043776500000e-06 3.900000000000e-02 9.271148357674e-08 3.464101615138e-03 0.000000000000e+00 0.000000000000e+00 5.823978663301e-05 2.176090071665e+00 3.789351523095e-06 1.415865459710e-01 5.303969335707e-07 1.981792118261e-02 6.048491788427e-07 2.259977875998e-02 1.070540000000e-07 4.000000000000e-03 1.686525263957e-06 6.301587101675e-02 4.635574178837e-08 1.732050807569e-03 0.000000000000e+00 0.000000000000e+00 9.201614744991e-06 3.438120853024e-01 3.414103791993e-06 1.275656693629e-01 2.060789500000e-06 7.700000000000e-02 1.696957862596e-05 6.340567797918e-01 2.676350000000e-08 1.000000000000e-03 2.756640500000e-06 1.030000000000e-01 3.960574824760e-05 1.479841883446e+00 2.301661000000e-06 8.600000000000e-02 3.950292600000e-05 1.476000000000e+00 4.090310456521e-05 1.528316721102e+00 4.817430000000e-07 1.800000000000e-02 5.352700000000e-08 2.000000000000e-03 2.074948109356e-06 7.752902682222e-02 2.408715000000e-07 9.000000000000e-03 7.423145125421e-06 2.773607758858e-01 7.103213909308e-06 2.654067632899e-01 3.051273758512e-06 1.140087715924e-01 3.605075240209e-05 1.347011878196e+00 1.911296197473e-07 7.141428428543e-03 3.559545500000e-06 1.330000000000e-01 7.226145000000e-07 2.700000000000e-02 5.184820816988e-05 1.937273083486e+00 - 5 HQP_PTQQ 1.550000000000e+02 3.003289000000e+04 8.000000000000e+03 1.029768947500e-03 8.182641200000e-06 2.586320222110e-07 2.515949125082e-02 3.855572752427e-07 3.750666607418e-02 8.840542000000e-07 8.600000000000e-02 1.236144396999e-05 1.202510187067e+00 3.058530354224e-06 2.975310908124e-01 4.523068000000e-07 4.400000000000e-02 2.940137968513e-06 2.860139856720e-01 4.095141417910e-07 3.983716857408e-02 3.560992537313e-07 3.464101615138e-02 1.277209909435e-05 1.242458349403e+00 6.593399580000e-05 6.414000000000e+00 6.231736940298e-08 6.062177826491e-03 1.691471455224e-07 1.645448267190e-02 4.682626203176e-08 4.555216789572e-03 3.044527140626e-06 2.961688707478e-01 1.027970000000e-07 1.000000000000e-02 3.078336793249e-07 2.994578434438e-02 0.000000000000e+00 0.000000000000e+00 2.292373100000e-06 2.230000000000e-01 3.186707000000e-07 3.100000000000e-02 5.345444000000e-07 5.200000000000e-02 5.139850000000e-07 5.000000000000e-02 3.395414631679e-07 3.303028912983e-02 6.579008000000e-07 6.400000000000e-02 1.157322574627e-07 1.125833024920e-02 0.000000000000e+00 0.000000000000e+00 3.040411178489e-05 2.957684736411e+00 1.249512229261e-06 1.215514294445e-01 6.786159351564e-07 6.601514977640e-02 2.937818843283e-07 2.857883832489e-02 9.251730000000e-08 9.000000000000e-03 7.614441013100e-07 7.407259952236e-02 8.902481343283e-09 8.660254037844e-04 0.000000000000e+00 0.000000000000e+00 2.314645149254e-06 2.251666049840e-01 5.181384356524e-06 5.040404249661e-01 5.345444000000e-07 5.200000000000e-02 6.504059286664e-06 6.327090563600e-01 1.027970000000e-08 1.000000000000e-03 3.896006300000e-06 3.790000000000e-01 2.062511781354e-05 2.006392969984e+00 9.148933000000e-07 8.900000000000e-02 1.729045540000e-05 1.682000000000e+00 2.328381096212e-05 2.265028255894e+00 4.523068000000e-07 4.400000000000e-02 1.027970000000e-08 1.000000000000e-03 4.758457473918e-07 4.628984769904e-02 2.055940000000e-07 2.000000000000e-02 3.135443312839e-06 3.050131144721e-01 5.660025130602e-06 5.506021703553e-01 2.220462790694e-06 2.160046295800e-01 1.742923286573e-05 1.695500147449e+00 7.711145504855e-07 7.501333214836e-02 2.035380600000e-06 1.980000000000e-01 1.799182449229e-06 1.750228556503e-01 2.495486207683e-05 2.427586610195e+00 - 6 HQP_PTQQ 2.450000000000e+02 3.003289000000e+04 8.000000000000e+03 2.980070190250e-04 4.550393050000e-06 1.185085245858e-07 4.065402809071e-02 2.434154025381e-07 8.350299395830e-02 3.177404500000e-07 1.090000000000e-01 3.281272720693e-06 1.125631711529e+00 6.951401106476e-07 2.384659304806e-01 5.538595000000e-08 1.900000000000e-02 4.905952072909e-07 1.682973558913e-01 2.623868874453e-07 9.001111042532e-02 2.373036912104e-07 8.140638795574e-02 2.428883963780e-06 8.332220592375e-01 2.621504465000e-05 8.993000000000e+00 7.168593380076e-08 2.459166525472e-02 1.146915670216e-07 3.934463114581e-02 5.023706202837e-08 1.723368793961e-02 9.650928899969e-07 3.310724996130e-01 5.538595000000e-08 1.900000000000e-02 3.079898971028e-07 1.056550992617e-01 0.000000000000e+00 0.000000000000e+00 3.877016500000e-07 1.330000000000e-01 3.323157000000e-07 1.140000000000e-01 5.101337500000e-07 1.750000000000e-01 4.955585000000e-08 1.700000000000e-02 1.720373505324e-07 5.901694671872e-02 2.302889500000e-07 7.900000000000e-02 2.368197815143e-08 8.124038404636e-03 0.000000000000e+00 0.000000000000e+00 7.322996661154e-06 2.512134152469e+00 3.122643141094e-08 1.071214264281e-02 3.125329227731e-07 1.072135719021e-01 2.114315727145e-07 7.253102784326e-02 3.940712043314e-08 1.351850583460e-02 1.451902684879e-07 4.980712800393e-02 1.514704411981e-08 5.196152422707e-03 0.000000000000e+00 0.000000000000e+00 7.548276986372e-07 2.589415957315e-01 3.090600224568e-06 1.060222028634e+00 1.749030000000e-08 6.000000000000e-03 8.411725174601e-07 2.885619517539e-01 2.332040000000e-08 8.000000000000e-03 1.818991200000e-06 6.240000000000e-01 7.620062670559e-06 2.614041841670e+00 1.136869500000e-07 3.900000000000e-02 1.079443015000e-05 3.703000000000e+00 6.309216635075e-06 2.164359662810e+00 1.749030000000e-07 6.000000000000e-02 0.000000000000e+00 0.000000000000e+00 2.874097387369e-07 9.859513172566e-02 9.184720740369e-08 3.150793550838e-02 5.424891602890e-07 1.860994357864e-01 2.274282703936e-06 7.801865161614e-01 5.380202368671e-07 1.845663837214e-01 3.637639900539e-06 1.247882506488e+00 5.943271539951e-07 2.038823189980e-01 1.142699600000e-06 3.920000000000e-01 5.911229788287e-07 2.027831353935e-01 5.500292857751e-06 1.886860553936e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT_SF.dat deleted file mode 100644 index cf74fe3591..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTPT_SF.dat +++ /dev/null @@ -1,7 +0,0 @@ -ATLASTOPDIFF8TEVTTPT 57 6 - 1 HQP_PTQQ 1.000000000000e+01 3.003289000000e+04 8.000000000000e+03 4.063886116000e+00 2.487610240000e-02 1.178462451121e-02 2.861345837189e-01 1.939841760000e-02 4.710000000000e-01 9.678616000000e-03 2.350000000000e-01 1.408655898988e-02 3.420263147771e-01 3.336542025454e-03 8.101234473832e-02 2.471136000000e-04 6.000000000000e-03 1.827545739962e-03 4.437341546467e-02 1.242432077046e-02 3.016666206261e-01 1.462378810674e-03 3.550704155516e-02 9.003541428621e-02 2.186089659643e+00 1.301464960000e-01 3.160000000000e+00 1.764744088120e-03 4.284857057126e-02 5.091379797163e-03 1.236203866682e-01 3.566777587010e-05 8.660254037844e-04 1.954151474721e-02 4.744744460980e-01 9.884544000000e-03 2.400000000000e-01 7.133555174021e-05 1.732050807569e-03 0.000000000000e+00 0.000000000000e+00 1.390017050782e-02 3.375007407399e-01 1.507392960000e-02 3.660000000000e-01 9.102017600000e-03 2.210000000000e-01 5.354128000000e-04 1.300000000000e-02 3.669636960000e-02 8.910000000000e-01 5.395313600000e-03 1.310000000000e-01 1.329472188708e-03 3.228002478314e-02 1.153196800000e-01 2.800000000000e+00 3.379227656437e-03 8.204876598706e-02 3.020620527168e-03 7.334166619324e-02 1.876093366086e-04 4.555216789572e-03 2.917594270203e-02 7.084015457352e-01 5.242926880000e-02 1.273000000000e+00 1.888362005669e-02 4.585005452559e-01 7.097797780058e-04 1.723368793961e-02 0.000000000000e+00 0.000000000000e+00 1.555115027937e-02 3.775870760500e-01 1.311973089914e-03 3.185514087239e-02 8.731347200000e-03 2.120000000000e-01 1.452846485535e-02 3.527559354568e-01 4.118560000000e-05 1.000000000000e-03 3.583147200000e-03 8.700000000000e-02 4.045140041261e-01 9.821733910059e+00 4.332725120000e-02 1.052000000000e+00 3.232245888000e-01 7.848000000000e+00 9.386048242979e-03 2.278963580227e-01 8.690161600000e-03 2.110000000000e-01 1.647424000000e-04 4.000000000000e-03 9.416563036254e-04 2.286372673035e-02 5.387076480000e-02 1.308000000000e+00 5.997385641165e-03 1.456185084390e-01 1.201285890407e-03 2.916761903207e-02 1.781680237633e-01 4.325978588713e+00 2.138492628206e-02 5.192330883139e-01 2.140066552206e-04 5.196152422707e-03 6.095468800000e-03 1.480000000000e-01 6.086661798439e-03 1.477861630871e-01 2.541418511485e-02 6.170648264162e-01 1.153196800000e-01 2.800000000000e+00 - 2 HQP_PTQQ 3.250000000000e+01 3.003289000000e+04 8.000000000000e+03 3.082566552400e+00 1.252836320000e-02 8.666769648501e-03 2.794758486882e-01 1.277644960000e-02 4.120000000000e-01 7.318548800000e-03 2.360000000000e-01 1.296069665389e-03 4.179413834499e-02 2.143786271022e-03 6.913031173082e-02 8.062808000000e-04 2.600000000000e-02 1.917347884262e-03 6.182839153657e-02 1.101101764259e-02 3.550704155516e-01 1.181670186034e-03 3.810511776652e-02 1.106642459898e-02 3.568571142628e-01 6.388224800000e-03 2.060000000000e-01 2.112834784038e-03 6.813222438758e-02 3.632733558083e-03 1.171441419790e-01 9.303240000000e-05 3.000000000000e-03 1.497828060442e-02 4.830020703889e-01 7.504613600000e-03 2.420000000000e-01 1.074245623667e-04 3.464101615138e-03 0.000000000000e+00 0.000000000000e+00 1.352070880000e-02 4.360000000000e-01 1.184612560000e-02 3.820000000000e-01 6.791365200000e-03 2.190000000000e-01 9.923456000000e-04 3.200000000000e-02 2.874701160000e-02 9.270000000000e-01 3.287144800000e-03 1.060000000000e-01 9.790527514189e-04 3.157134776977e-02 8.683024000000e-02 2.800000000000e+00 2.327291327658e-02 7.504776812138e-01 4.066200614602e-03 1.311220805204e-01 2.825218336361e-04 9.110433579144e-03 2.075154942809e-02 6.691716894789e-01 3.938371600000e-02 1.270000000000e+00 1.549003428766e-02 4.995045044842e-01 5.599145717202e-04 1.805547008527e-02 0.000000000000e+00 0.000000000000e+00 3.088456168043e-03 9.959292143521e-02 1.879929841417e-04 6.062177826491e-03 8.589991600000e-03 2.770000000000e-01 1.981667766804e-02 6.390250386331e-01 3.101080000000e-05 1.000000000000e-03 2.040510640000e-02 6.580000000000e-01 2.772906179082e-01 8.941743454159e+00 3.228224280000e-02 1.041000000000e+00 1.327882456000e-01 4.282000000000e+00 9.819056999720e-03 3.166334631715e-01 7.628656800000e-03 2.460000000000e-01 3.101080000000e-05 1.000000000000e-03 1.741581547411e-03 5.616048432840e-02 4.068616960000e-02 1.312000000000e+00 8.070437817652e-03 2.602460374338e-01 3.023672269955e-03 9.750384607799e-02 1.332211867886e-01 4.295960980968e+00 3.276379809777e-02 1.056528631888e+00 1.519212730310e-04 4.898979485566e-03 3.132090800000e-03 1.010000000000e-01 5.551106441989e-03 1.790055865050e-01 4.171408802713e-02 1.345147110914e+00 8.683024000000e-02 2.800000000000e+00 - 3 HQP_PTQQ 6.000000000000e+01 3.003289000000e+04 8.000000000000e+03 1.546938972000e+00 7.031188800000e-03 4.148112880397e-03 2.678413709642e-01 5.420520000000e-03 3.500000000000e-01 3.577543200000e-03 2.310000000000e-01 7.350055267898e-03 4.745890327431e-01 9.388616043443e-05 6.062177826491e-03 7.588728000000e-04 4.900000000000e-02 3.647383563878e-03 2.355095539463e-01 5.901415798736e-03 3.810511776652e-01 4.560184935387e-04 2.944486372867e-02 1.637068833393e-02 1.057046356599e+00 1.517745600000e-02 9.800000000000e-01 1.535733742105e-03 9.916148445843e-02 1.756551642406e-03 1.134195750301e-01 8.047385180094e-05 5.196152422707e-03 9.486422011978e-03 6.125330603323e-01 3.778876800000e-03 2.440000000000e-01 2.280092467693e-04 1.472243186434e-02 0.000000000000e+00 0.000000000000e+00 8.727044070982e-03 5.635004436555e-01 5.807700000000e-03 3.750000000000e-01 3.267799200000e-03 2.110000000000e-01 1.161540000000e-03 7.500000000000e-02 1.504581878538e-02 9.715002573340e-01 1.238976000000e-03 8.000000000000e-02 4.735007200094e-04 3.057368149242e-02 4.336416000000e-02 2.800000000000e+00 3.292651565855e-02 2.126047036168e+00 3.515662624889e-03 2.270044052436e-01 3.331548350497e-04 2.151162476430e-02 9.819944296939e-03 6.340684111356e-01 1.962228240000e-02 1.267000000000e+00 8.487437768977e-03 5.480291963025e-01 2.942568000000e-04 1.900000000000e-02 0.000000000000e+00 0.000000000000e+00 2.829997121666e-03 1.827313601985e-01 1.101089819620e-03 7.109676504596e-02 5.219186400000e-03 3.370000000000e-01 1.650161523379e-02 1.065500234632e+00 0.000000000000e+00 0.000000000000e+00 8.161754400000e-03 5.270000000000e-01 1.197998719158e-01 7.735411947660e+00 1.530135360000e-02 9.880000000000e-01 5.341535280000e-02 3.449000000000e+00 1.964619994795e-02 1.268544342938e+00 4.119595200000e-03 2.660000000000e-01 3.097440000000e-05 2.000000000000e-03 1.642957624729e-03 1.060848716830e-01 2.041212960000e-02 1.318000000000e+00 6.915043471439e-03 4.465005599101e-01 3.997858020596e-03 2.581394971716e-01 6.556377119702e-02 4.233416705216e+00 2.975555457903e-02 1.921299820434e+00 3.793573754443e-05 2.449489742783e-03 1.703592000000e-03 1.100000000000e-01 2.919522054625e-03 1.885119359616e-01 3.977112960000e-02 2.568000000000e+00 4.336416000000e-02 2.800000000000e+00 - 4 HQP_PTQQ 9.750000000000e+01 3.003289000000e+04 8.000000000000e+03 7.094939754400e-01 4.201602400000e-03 1.825358213975e-03 2.563215753697e-01 2.285956560000e-03 3.210000000000e-01 1.445636080000e-03 2.030000000000e-01 7.568497348951e-03 1.062788196208e+00 1.064750492265e-03 1.495150494098e-01 5.412233600000e-04 7.600000000000e-02 2.791645785993e-03 3.920102039488e-01 2.818446351959e-03 3.957736095295e-01 2.035201960933e-04 2.857883832489e-02 9.334782210095e-03 1.310814536843e+00 2.920469736000e-02 4.101000000000e+00 7.739955205881e-04 1.086864756996e-01 7.756073226683e-04 1.089128091640e-01 3.243933863659e-05 4.555216789572e-03 5.572466475194e-03 7.825003194888e-01 1.766097280000e-03 2.480000000000e-01 8.150769068436e-05 1.144552314226e-02 0.000000000000e+00 0.000000000000e+00 4.824724027807e-03 6.775003690036e-01 2.549446880000e-03 3.580000000000e-01 1.630791440000e-03 2.290000000000e-01 7.477428000000e-04 1.050000000000e-01 7.071517651557e-03 9.930010070488e-01 3.916748000000e-04 5.500000000000e-02 2.035201960933e-04 2.857883832489e-02 1.993980800000e-02 2.800000000000e+00 2.582567144187e-02 3.626508341366e+00 2.172224928328e-03 3.050295067694e-01 3.088569216927e-04 4.337049688440e-02 4.619485218796e-03 6.486801985570e-01 9.001399040000e-03 1.264000000000e+00 4.098345773552e-03 5.755004344047e-01 1.318413594725e-04 1.851350858157e-02 0.000000000000e+00 0.000000000000e+00 1.992031010247e-03 2.797262054224e-01 1.681074673317e-03 2.360609031585e-01 2.556568240000e-03 3.590000000000e-01 1.015523914029e-02 1.426025245218e+00 7.121360000000e-06 1.000000000000e-03 1.623670080000e-03 2.280000000000e-01 5.043736840852e-02 7.082547211279e+00 6.587258000000e-03 9.250000000000e-01 2.550159016000e-02 3.581000000000e+00 1.693896987188e-02 2.378614460143e+00 1.794582720000e-03 2.520000000000e-01 7.121360000000e-06 1.000000000000e-03 1.018553659402e-03 1.430279692927e-01 9.435802000000e-03 1.325000000000e+00 4.358272320000e-03 6.120000000000e-01 3.475748986527e-03 4.880737649167e-01 2.944581587157e-02 4.134858492137e+00 1.996288946576e-02 2.803241159801e+00 1.356801307289e-04 1.905255888326e-02 1.053961280000e-03 1.480000000000e-01 8.128339146196e-04 1.141402645870e-01 2.755967976130e-02 3.870002325581e+00 1.993980800000e-02 2.800000000000e+00 - 5 HQP_PTQQ 1.550000000000e+02 3.003289000000e+04 8.000000000000e+03 2.721593650000e-01 2.398831790000e-03 6.777787122934e-04 2.477922516948e-01 1.012049900000e-03 3.700000000000e-01 3.856730700000e-04 1.410000000000e-01 3.944412982548e-03 1.442056170889e+00 8.150324368195e-04 2.979714751449e-01 2.106157900000e-04 7.700000000000e-02 1.144908188604e-03 4.185722757183e-01 1.058859547876e-03 3.871133554916e-01 2.013491310278e-04 7.361215932168e-02 2.459466734837e-03 8.991678096996e-01 2.401840587000e-02 8.781000000000e+00 1.983919445288e-04 7.253102784326e-02 2.816265658895e-04 1.029611577246e-01 8.205810000000e-06 3.000000000000e-03 2.364461351707e-03 8.644343526260e-01 6.947585800000e-04 2.540000000000e-01 8.317874668110e-05 3.040970239907e-02 0.000000000000e+00 0.000000000000e+00 1.929741708379e-03 7.055031892203e-01 9.163154500000e-04 3.350000000000e-01 7.686108700000e-04 2.810000000000e-01 2.461743000000e-04 9.000000000000e-02 2.643644822667e-03 9.665023279848e-01 8.479337000000e-05 3.100000000000e-02 7.157580195809e-05 2.616772821626e-02 7.658756000000e-03 2.800000000000e+00 1.206065377433e-02 4.409310150126e+00 7.788786388438e-04 2.847538410628e-01 2.448754191161e-04 8.952513613505e-02 1.866029580931e-03 6.822103781093e-01 3.446440200000e-03 1.260000000000e+00 1.603096920800e-03 5.860836117825e-01 4.923486000000e-05 1.800000000000e-02 0.000000000000e+00 0.000000000000e+00 4.429680882612e-04 1.619467505077e-01 1.681225088921e-03 6.146468498252e-01 9.135801800000e-04 3.340000000000e-01 3.896392595040e-03 1.424500175500e+00 2.735270000000e-06 1.000000000000e-03 1.285576900000e-04 4.700000000000e-02 1.812375371078e-02 6.625946875730e+00 2.521918940000e-03 9.220000000000e-01 9.261624220000e-03 3.386000000000e+00 8.520717281284e-03 3.115128408268e+00 5.169660300000e-04 1.890000000000e-01 0.000000000000e+00 0.000000000000e+00 2.984579429155e-04 1.091146186356e-01 3.654320720000e-03 1.336000000000e+00 1.750918948387e-03 6.401265499884e-01 2.118488687755e-03 7.745080696804e-01 1.102939283140e-02 4.032286696156e+00 8.622634015636e-03 3.152388618175e+00 2.393439399296e-04 8.750285709621e-02 5.962888600000e-04 2.180000000000e-01 9.406903320672e-05 3.439113257804e-02 1.192972668995e-02 4.361443912284e+00 7.658756000000e-03 2.800000000000e+00 - 6 HQP_PTQQ 2.450000000000e+02 3.003289000000e+04 8.000000000000e+03 7.868873192200e-02 1.360493608000e-03 1.801730407068e-04 2.322859229484e-01 3.808451320000e-04 4.910000000000e-01 2.613947240000e-04 3.370000000000e-01 1.058702968642e-03 1.364920052604e+00 1.857212829894e-04 2.394389274951e-01 1.163478000000e-05 1.500000000000e-02 2.250684295868e-04 2.901667623971e-01 2.115963159963e-04 2.727980021921e-01 9.404280710947e-05 1.212435565298e-01 3.800194154894e-04 4.899354549326e-01 8.760989340000e-03 1.129500000000e+01 3.656892772286e-05 4.714604967545e-02 6.068330660614e-05 7.823522224676e-02 1.266832308147e-05 1.633248297106e-02 6.598314325513e-04 8.506797282174e-01 2.039964760000e-04 2.630000000000e-01 8.127985471604e-05 1.047890738579e-01 0.000000000000e+00 0.000000000000e+00 4.774141210494e-04 6.155004061737e-01 1.946886520000e-04 2.510000000000e-01 3.141390600000e-04 4.050000000000e-01 4.421216400000e-05 5.700000000000e-02 6.779233978854e-04 8.740045766471e-01 1.241043200000e-05 1.600000000000e-02 1.706434400000e-05 2.200000000000e-02 2.171825600000e-03 2.800000000000e+00 3.073407954432e-03 3.962354192901e+00 1.348268596738e-04 1.738239051454e-01 1.014029649717e-04 1.307325514170e-01 4.651265951267e-04 5.996588613537e-01 9.734432600000e-04 1.255000000000e+00 4.299706720663e-04 5.543345109228e-01 1.031937868495e-05 1.330413469565e-02 0.000000000000e+00 0.000000000000e+00 1.511402257116e-04 1.948557158515e-01 9.082696138516e-04 1.170975661575e+00 2.233877760000e-04 2.880000000000e-01 8.314855581068e-04 1.071982742398e+00 6.205216000000e-06 8.000000000000e-03 2.264903840000e-04 2.920000000000e-01 4.733101133427e-03 6.102093636614e+00 7.539337440000e-04 9.720000000000e-01 1.137105832000e-03 1.466000000000e+00 2.338417087959e-03 3.014776069628e+00 1.341877960000e-04 1.730000000000e-01 7.756520000000e-07 1.000000000000e-03 3.761712284379e-05 4.849742261193e-02 1.045578896000e-03 1.348000000000e+00 4.018655931361e-04 5.181003763751e-01 7.779579790866e-04 1.002972955767e+00 3.152051299705e-03 4.063744178710e+00 2.098199700487e-03 2.705078695713e+00 1.677646699439e-04 2.162885803735e-01 3.436138360000e-04 4.430000000000e-01 6.020178913642e-05 7.761443164773e-02 2.962765042571e-03 3.819709151231e+00 2.171825600000e-03 2.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAP_SF.dat b/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAP_SF.dat deleted file mode 100644 index ae64f8b65f..0000000000 --- a/nnpdfcpp/data/commondata/DATA_ATLASTOPDIFF8TEVTTRAP_SF.dat +++ /dev/null @@ -1,11 +0,0 @@ -ATLASTOPDIFF8TEVTTRAP 57 10 - 1 HQP_YQQ -1.900000000000e+00 3.003289000000e+04 8.000000000000e+03 1.652091845000e+01 3.000819248883e-01 3.396338255758e-02 2.050384110356e-01 6.112263600000e-02 3.690000000000e-01 2.118586760000e-01 1.279000000000e+00 1.974644618177e-01 1.192101505745e+00 1.254609788328e-02 7.574133613820e-02 5.797540000000e-03 3.500000000000e-02 6.083646586221e-02 3.672723784877e-01 3.041180534071e-02 1.835973856023e-01 6.900036966453e-02 4.165582192203e-01 1.470784407922e-02 8.879189152169e-02 9.989989640000e-01 6.031000000000e+00 1.115455846477e-02 6.734055241829e-02 5.412904027692e-02 3.267793598133e-01 1.524914741510e-03 9.205976319761e-03 9.078772202541e-02 5.480894087647e-01 5.284043600000e-02 3.190000000000e-01 5.020816919456e-03 3.031088913246e-02 0.000000000000e+00 0.000000000000e+00 9.267789201427e-02 5.595004468273e-01 3.892634000000e-02 2.350000000000e-01 1.351655040000e-01 8.160000000000e-01 8.447844000000e-03 5.100000000000e-02 1.468434527129e-01 8.865002820079e-01 1.292023200000e-02 7.800000000000e-02 7.205037995772e-03 4.349712634186e-02 4.638032000000e-01 2.800000000000e+00 3.489561549462e-01 2.106663416400e+00 3.000443428267e-02 1.811380688867e-01 7.868961762232e-03 4.750526286634e-02 1.047082355377e-01 6.321281515642e-01 2.544291840000e-01 1.536000000000e+00 9.245339396997e-02 5.581451424137e-01 6.839211887432e-03 4.128861828640e-02 0.000000000000e+00 0.000000000000e+00 9.611278102959e-03 5.802370205356e-02 4.499270370724e-02 2.716229003600e-01 3.064414000000e-02 1.850000000000e-01 1.501574280530e-01 9.065068946235e-01 6.625760000000e-04 4.000000000000e-03 3.909198400000e-01 2.360000000000e+00 1.553508207209e+00 9.378596310216e+00 1.552084280000e-01 9.370000000000e-01 5.524227400000e-01 3.335000000000e+00 2.204822442835e-01 1.331060855108e+00 5.482816400000e-02 3.310000000000e-01 1.209201200000e-02 7.300000000000e-02 1.259112333768e-02 7.601315675592e-02 2.111961000000e-01 1.275000000000e+00 6.459579758385e-02 3.899676268615e-01 6.195085600000e-02 3.740000000000e-01 7.025684181039e-01 4.241435959672e+00 3.007409377210e-01 1.815586062405e+00 6.464361886755e-03 3.902563260218e-02 4.853369200000e-02 2.930000000000e-01 1.538439550430e-02 9.287626176801e-02 4.070479789357e-01 2.457366273066e+00 4.638032000000e-01 2.800000000000e+00 - 2 HQP_YQQ -1.100000000000e+00 3.003289000000e+04 8.000000000000e+03 5.851309180000e+01 6.793406919305e-01 1.484417834231e-01 2.527765811937e-01 2.102337100000e-01 3.580000000000e-01 3.047801550000e-01 5.190000000000e-01 4.413195014134e-01 7.515083166539e-01 2.779970939319e-02 4.733920151418e-02 5.872450000000e-03 1.000000000000e-02 1.497566864030e-01 2.550156857921e-01 1.652849536798e-01 2.814582562299e-01 2.135990170631e-02 3.637306695895e-02 1.579023074208e-02 2.688865931950e-02 2.154014660000e+00 3.668000000000e+00 4.365407276622e-02 7.433707016018e-02 9.832452617817e-02 1.674335689162e-01 1.525707264736e-03 2.598076211353e-03 3.835285360872e-01 6.530980018343e-01 1.497474750000e-01 2.550000000000e-01 1.038527466201e-02 1.768473918383e-02 0.000000000000e+00 0.000000000000e+00 3.162317051299e-01 5.385004642524e-01 1.726500300000e-01 2.940000000000e-01 1.632541100000e-01 2.780000000000e-01 3.171123000000e-02 5.400000000000e-02 5.352739785655e-01 9.115002742731e-01 5.226480500000e-02 8.900000000000e-02 1.118851994140e-02 1.905255888326e-02 1.644286000000e+00 2.800000000000e+00 1.150798354285e+00 1.959656283638e+00 1.106964613368e-01 1.885013262553e-01 2.140022626874e-02 3.644173431658e-02 3.846965753690e-01 6.550870171206e-01 7.833848300000e-01 1.334000000000e+00 3.228089290391e-01 5.497006003271e-01 1.373450433921e-02 2.338803112705e-02 0.000000000000e+00 0.000000000000e+00 1.779991808859e-02 3.031088913246e-02 1.335988828226e-01 2.275010988984e-01 1.703010500000e-01 2.900000000000e-01 5.341072370085e-01 9.095134688392e-01 8.221430000000e-03 1.400000000000e-02 4.874133500000e-02 8.300000000000e-02 4.389463493186e+00 7.474671547968e+00 5.749128550000e-01 9.790000000000e-01 2.371882555000e+00 4.039000000000e+00 7.318279139225e-01 1.246205440527e+00 9.983165000000e-02 1.700000000000e-01 4.110715000000e-03 7.000000000000e-03 3.630841378790e-02 6.182839153657e-02 7.528480900000e-01 1.282000000000e+00 2.357967840079e-01 4.015305094261e-01 2.080190562207e-01 3.542287396584e-01 2.485465605872e+00 4.232416803671e+00 1.037727051620e+00 1.767110918986e+00 1.861436969931e-02 3.169779172119e-02 1.127510400000e-01 1.920000000000e-01 6.931481375167e-02 1.180338934374e-01 1.399410995761e+00 2.383010490955e+00 1.644286000000e+00 2.800000000000e+00 - 3 HQP_YQQ -7.500000000000e-01 3.003289000000e+04 8.000000000000e+03 8.459878638750e+01 8.195103843123e-01 2.241957281200e-01 2.654067632899e-01 3.260638500000e-01 3.860000000000e-01 1.106589750000e-01 1.310000000000e-01 3.661480950910e-01 4.334524195341e-01 1.941030272639e-02 2.297825058615e-02 3.463372500000e-02 4.100000000000e-02 1.383306504799e-01 1.637582059013e-01 2.743324909544e-01 3.247595264192e-01 9.510193019754e-03 1.125833024920e-02 1.682572611187e-02 1.991858428704e-02 3.070575375000e+00 3.635000000000e+00 5.873572834583e-02 6.953236656407e-02 1.038771353287e-01 1.229715414232e-01 2.926213236847e-03 3.464101615138e-03 5.284934724836e-01 6.256396726551e-01 2.018892750000e-01 2.390000000000e-01 1.243640625660e-02 1.472243186434e-02 0.000000000000e+00 0.000000000000e+00 4.324992000000e-01 5.120000000000e-01 2.855170500000e-01 3.380000000000e-01 1.571188500000e-01 1.860000000000e-01 4.054680000000e-02 4.800000000000e-02 7.851721146987e-01 9.295002689618e-01 5.659657500000e-02 6.700000000000e-02 2.492654515848e-02 2.950847335936e-02 2.365230000000e+00 2.800000000000e+00 1.585131976949e+00 1.876506528099e+00 1.364871460285e-01 1.615758335891e-01 2.461326301927e-02 2.913760456867e-02 5.523106365124e-01 6.538348415311e-01 1.057595700000e+00 1.252000000000e+00 4.350481369340e-01 5.150174754317e-01 1.817140722902e-02 2.151162476430e-02 0.000000000000e+00 0.000000000000e+00 3.145679229611e-02 3.723909236273e-02 1.420394475022e-01 1.681487436765e-01 2.255415750000e-01 2.670000000000e-01 7.565363655199e-01 8.956007760157e-01 0.000000000000e+00 0.000000000000e+00 2.449702500000e-02 2.900000000000e-02 5.582844721626e+00 6.609067710351e+00 8.607747750000e-01 1.019000000000e+00 3.609509925000e+00 4.273000000000e+00 9.796117979538e-01 1.159681313982e+00 1.875289500000e-01 2.220000000000e-01 2.111812500000e-02 2.500000000000e-02 5.110935297998e-02 6.050413209030e-02 1.109968650000e+00 1.314000000000e+00 2.998797544976e-01 3.550028168902e-01 2.306099250000e-01 2.730000000000e-01 3.570574411602e+00 4.226907468824e+00 1.431952894615e+00 1.695170492900e+00 1.755727942108e-02 2.078460969083e-02 1.436032500000e-01 1.700000000000e-01 1.163353785658e-01 1.377198242810e-01 1.914596139900e+00 2.266531877120e+00 2.365230000000e+00 2.800000000000e+00 - 4 HQP_YQQ -4.500000000000e-01 3.003289000000e+04 8.000000000000e+03 1.020433727500e+02 8.427346701442e-01 2.821723430667e-01 2.774828823549e-01 4.372670000000e-01 4.300000000000e-01 5.287880000000e-02 5.200000000000e-02 2.400487169964e-01 2.360593145800e-01 3.189890656809e-02 3.136877428272e-02 6.813230000000e-02 6.700000000000e-02 1.299962577870e-01 1.278358322224e-01 3.949275525689e-01 3.883641976290e-01 8.806612331084e-03 8.660254037844e-03 2.775131092485e-02 2.729010809799e-02 3.951673400000e+00 3.886000000000e+00 7.863076918224e-02 7.732399368889e-02 6.647096576798e-02 6.536627570850e-02 1.016900000000e-03 1.000000000000e-03 6.178173836863e-01 6.075497921981e-01 2.389715000000e-01 2.350000000000e-01 1.089317785348e-02 1.071214264281e-02 0.000000000000e+00 0.000000000000e+00 5.145514000000e-01 5.060000000000e-01 4.077769000000e-01 4.010000000000e-01 1.718561000000e-01 1.690000000000e-01 5.389570000000e-02 5.300000000000e-02 9.736820155091e-01 9.575002610966e-01 9.253790000000e-02 9.100000000000e-02 4.257642627476e-02 4.186884283092e-02 2.847320000000e+00 2.800000000000e+00 1.889981010748e+00 1.858571158175e+00 1.896893325561e-01 1.865368596283e-01 2.952514469448e-02 2.903446228192e-02 6.699966635853e-01 6.588618975172e-01 1.237567300000e+00 1.217000000000e+00 5.110048978534e-01 5.025124376570e-01 1.118590000000e-02 1.100000000000e-02 0.000000000000e+00 0.000000000000e+00 3.962975548988e-02 3.897114317030e-02 1.706968957918e-01 1.678600607649e-01 2.908334000000e-01 2.860000000000e-01 9.116511335750e-01 8.965002788622e-01 1.016900000000e-03 1.000000000000e-03 8.338580000000e-02 8.200000000000e-02 6.249361804368e+00 6.145502806931e+00 1.031136600000e+00 1.014000000000e+00 3.891676300000e+00 3.827000000000e+00 1.155787599687e+00 1.136579407697e+00 2.145659000000e-01 2.110000000000e-01 9.152100000000e-03 9.000000000000e-03 7.704821195594e-02 7.576773719731e-02 1.358578400000e+00 1.336000000000e+00 3.911097740249e-01 3.846098672681e-01 2.888510670249e-01 2.840506116874e-01 4.301392611172e+00 4.229907179833e+00 1.697279822126e+00 1.669072496928e+00 1.577834308815e-02 1.551612064918e-02 1.454167000000e-01 1.430000000000e-01 1.344184486673e-01 1.321845301085e-01 2.289045965789e+00 2.251003998219e+00 2.847320000000e+00 2.800000000000e+00 - 5 HQP_YQQ -1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 1.107734945400e+02 9.721701421764e-01 3.232600824888e-01 2.915523109152e-01 4.601333250000e-01 4.150000000000e-01 4.102393500000e-02 3.700000000000e-02 1.510838889017e-01 1.362644487752e-01 2.987472399736e-02 2.694438717061e-02 6.874281000000e-02 6.200000000000e-02 1.518012744192e-01 1.369114677447e-01 4.646649210178e-01 4.190871031182e-01 5.761259979438e-03 5.196152422707e-03 2.097862909508e-02 1.892088792842e-02 3.910578885000e+00 3.527000000000e+00 8.368713516540e-02 7.547847375245e-02 6.947878537536e-02 6.266378539476e-02 4.435020000000e-03 4.000000000000e-03 6.741583715217e-01 6.080318659413e-01 2.583399150000e-01 2.330000000000e-01 9.326073061009e-03 8.411301920630e-03 0.000000000000e+00 0.000000000000e+00 5.615849547628e-01 5.065004935832e-01 4.545895500000e-01 4.100000000000e-01 1.541169450000e-01 1.390000000000e-01 5.322024000000e-02 4.800000000000e-02 1.067732216355e+00 9.630010384210e-01 9.978795000000e-02 9.000000000000e-02 3.030371634913e-02 2.733130073743e-02 3.104514000000e+00 2.800000000000e+00 1.995230654505e+00 1.799523478591e+00 2.128484744647e-01 1.919707008895e-01 3.440715270077e-02 3.103224129837e-02 7.539949771661e-01 6.800374989660e-01 1.337158530000e+00 1.206000000000e+00 5.804464796342e-01 5.235119387368e-01 1.296579822614e-02 1.169401556353e-02 0.000000000000e+00 0.000000000000e+00 2.592566990747e-02 2.338268590218e-02 2.011802262942e-01 1.814469619476e-01 3.902817600000e-01 3.520000000000e-01 9.844475430534e-01 8.878855500570e-01 8.870040000000e-03 8.000000000000e-03 1.518994350000e-01 1.370000000000e-01 6.664745280713e+00 6.011017114432e+00 1.105428735000e+00 9.970000000000e-01 3.606780015000e+00 3.253000000000e+00 1.257923838051e+00 1.134537240464e+00 3.015813600000e-01 2.720000000000e-01 7.761285000000e-03 7.000000000000e-03 8.007637093756e-02 7.222188034107e-02 1.489057965000e+00 1.343000000000e+00 4.270333573966e-01 3.851467252879e-01 3.293296324946e-01 2.970265139680e-01 4.684387494462e+00 4.224907661713e+00 1.874846266603e+00 1.690947293679e+00 3.139950310626e-02 2.831960451701e-02 1.707482700000e-01 1.540000000000e-01 1.536606029847e-01 1.385884194296e-01 2.513606763551e+00 2.267053373875e+00 3.104514000000e+00 2.800000000000e+00 - 6 HQP_YQQ 1.500000000000e-01 3.003289000000e+04 8.000000000000e+03 1.107734945400e+02 9.721701421764e-01 3.232600824888e-01 2.915523109152e-01 4.601333250000e-01 4.150000000000e-01 4.102393500000e-02 3.700000000000e-02 1.510838889017e-01 1.362644487752e-01 2.987472399736e-02 2.694438717061e-02 6.874281000000e-02 6.200000000000e-02 1.518012744192e-01 1.369114677447e-01 4.646649210178e-01 4.190871031182e-01 5.761259979438e-03 5.196152422707e-03 2.097862909508e-02 1.892088792842e-02 3.910578885000e+00 3.527000000000e+00 8.368713516540e-02 7.547847375245e-02 6.947878537536e-02 6.266378539476e-02 4.435020000000e-03 4.000000000000e-03 6.741583715217e-01 6.080318659413e-01 2.583399150000e-01 2.330000000000e-01 9.326073061009e-03 8.411301920630e-03 0.000000000000e+00 0.000000000000e+00 5.615849547628e-01 5.065004935832e-01 4.545895500000e-01 4.100000000000e-01 1.541169450000e-01 1.390000000000e-01 5.322024000000e-02 4.800000000000e-02 1.067732216355e+00 9.630010384210e-01 9.978795000000e-02 9.000000000000e-02 3.030371634913e-02 2.733130073743e-02 3.104514000000e+00 2.800000000000e+00 1.995230654505e+00 1.799523478591e+00 2.128484744647e-01 1.919707008895e-01 3.440715270077e-02 3.103224129837e-02 7.539949771661e-01 6.800374989660e-01 1.337158530000e+00 1.206000000000e+00 5.804464796342e-01 5.235119387368e-01 1.296579822614e-02 1.169401556353e-02 0.000000000000e+00 0.000000000000e+00 2.592566990747e-02 2.338268590218e-02 2.011802262942e-01 1.814469619476e-01 3.902817600000e-01 3.520000000000e-01 9.844475430534e-01 8.878855500570e-01 8.870040000000e-03 8.000000000000e-03 1.518994350000e-01 1.370000000000e-01 6.664745280713e+00 6.011017114432e+00 1.105428735000e+00 9.970000000000e-01 3.606780015000e+00 3.253000000000e+00 1.257923838051e+00 1.134537240464e+00 3.015813600000e-01 2.720000000000e-01 7.761285000000e-03 7.000000000000e-03 8.007637093756e-02 7.222188034107e-02 1.489057965000e+00 1.343000000000e+00 4.270333573966e-01 3.851467252879e-01 3.293296324946e-01 2.970265139680e-01 4.684387494462e+00 4.224907661713e+00 1.874846266603e+00 1.690947293679e+00 3.139950310626e-02 2.831960451701e-02 1.707482700000e-01 1.540000000000e-01 1.536606029847e-01 1.385884194296e-01 2.513606763551e+00 2.267053373875e+00 3.104514000000e+00 2.800000000000e+00 - 7 HQP_YQQ 4.500000000000e-01 3.003289000000e+04 8.000000000000e+03 1.020433727500e+02 8.427346701442e-01 2.821723430667e-01 2.774828823549e-01 4.372670000000e-01 4.300000000000e-01 5.287880000000e-02 5.200000000000e-02 2.400487169964e-01 2.360593145800e-01 3.189890656809e-02 3.136877428272e-02 6.813230000000e-02 6.700000000000e-02 1.299962577870e-01 1.278358322224e-01 3.949275525689e-01 3.883641976290e-01 8.806612331084e-03 8.660254037844e-03 2.775131092485e-02 2.729010809799e-02 3.951673400000e+00 3.886000000000e+00 7.863076918224e-02 7.732399368889e-02 6.647096576798e-02 6.536627570850e-02 1.016900000000e-03 1.000000000000e-03 6.178173836863e-01 6.075497921981e-01 2.389715000000e-01 2.350000000000e-01 1.089317785348e-02 1.071214264281e-02 0.000000000000e+00 0.000000000000e+00 5.145514000000e-01 5.060000000000e-01 4.077769000000e-01 4.010000000000e-01 1.718561000000e-01 1.690000000000e-01 5.389570000000e-02 5.300000000000e-02 9.736820155091e-01 9.575002610966e-01 9.253790000000e-02 9.100000000000e-02 4.257642627476e-02 4.186884283092e-02 2.847320000000e+00 2.800000000000e+00 1.889981010748e+00 1.858571158175e+00 1.896893325561e-01 1.865368596283e-01 2.952514469448e-02 2.903446228192e-02 6.699966635853e-01 6.588618975172e-01 1.237567300000e+00 1.217000000000e+00 5.110048978534e-01 5.025124376570e-01 1.118590000000e-02 1.100000000000e-02 0.000000000000e+00 0.000000000000e+00 3.962975548988e-02 3.897114317030e-02 1.706968957918e-01 1.678600607649e-01 2.908334000000e-01 2.860000000000e-01 9.116511335750e-01 8.965002788622e-01 1.016900000000e-03 1.000000000000e-03 8.338580000000e-02 8.200000000000e-02 6.249361804368e+00 6.145502806931e+00 1.031136600000e+00 1.014000000000e+00 3.891676300000e+00 3.827000000000e+00 1.155787599687e+00 1.136579407697e+00 2.145659000000e-01 2.110000000000e-01 9.152100000000e-03 9.000000000000e-03 7.704821195594e-02 7.576773719731e-02 1.358578400000e+00 1.336000000000e+00 3.911097740249e-01 3.846098672681e-01 2.888510670249e-01 2.840506116874e-01 4.301392611172e+00 4.229907179833e+00 1.697279822126e+00 1.669072496928e+00 1.577834308815e-02 1.551612064918e-02 1.454167000000e-01 1.430000000000e-01 1.344184486673e-01 1.321845301085e-01 2.289045965789e+00 2.251003998219e+00 2.847320000000e+00 2.800000000000e+00 - 8 HQP_YQQ 7.500000000000e-01 3.003289000000e+04 8.000000000000e+03 8.459878638750e+01 8.195103843123e-01 2.241957281200e-01 2.654067632899e-01 3.260638500000e-01 3.860000000000e-01 1.106589750000e-01 1.310000000000e-01 3.661480950910e-01 4.334524195341e-01 1.941030272639e-02 2.297825058615e-02 3.463372500000e-02 4.100000000000e-02 1.383306504799e-01 1.637582059013e-01 2.743324909544e-01 3.247595264192e-01 9.510193019754e-03 1.125833024920e-02 1.682572611187e-02 1.991858428704e-02 3.070575375000e+00 3.635000000000e+00 5.873572834583e-02 6.953236656407e-02 1.038771353287e-01 1.229715414232e-01 2.926213236847e-03 3.464101615138e-03 5.284934724836e-01 6.256396726551e-01 2.018892750000e-01 2.390000000000e-01 1.243640625660e-02 1.472243186434e-02 0.000000000000e+00 0.000000000000e+00 4.324992000000e-01 5.120000000000e-01 2.855170500000e-01 3.380000000000e-01 1.571188500000e-01 1.860000000000e-01 4.054680000000e-02 4.800000000000e-02 7.851721146987e-01 9.295002689618e-01 5.659657500000e-02 6.700000000000e-02 2.492654515848e-02 2.950847335936e-02 2.365230000000e+00 2.800000000000e+00 1.585131976949e+00 1.876506528099e+00 1.364871460285e-01 1.615758335891e-01 2.461326301927e-02 2.913760456867e-02 5.523106365124e-01 6.538348415311e-01 1.057595700000e+00 1.252000000000e+00 4.350481369340e-01 5.150174754317e-01 1.817140722902e-02 2.151162476430e-02 0.000000000000e+00 0.000000000000e+00 3.145679229611e-02 3.723909236273e-02 1.420394475022e-01 1.681487436765e-01 2.255415750000e-01 2.670000000000e-01 7.565363655199e-01 8.956007760157e-01 0.000000000000e+00 0.000000000000e+00 2.449702500000e-02 2.900000000000e-02 5.582844721626e+00 6.609067710351e+00 8.607747750000e-01 1.019000000000e+00 3.609509925000e+00 4.273000000000e+00 9.796117979538e-01 1.159681313982e+00 1.875289500000e-01 2.220000000000e-01 2.111812500000e-02 2.500000000000e-02 5.110935297998e-02 6.050413209030e-02 1.109968650000e+00 1.314000000000e+00 2.998797544976e-01 3.550028168902e-01 2.306099250000e-01 2.730000000000e-01 3.570574411602e+00 4.226907468824e+00 1.431952894615e+00 1.695170492900e+00 1.755727942108e-02 2.078460969083e-02 1.436032500000e-01 1.700000000000e-01 1.163353785658e-01 1.377198242810e-01 1.914596139900e+00 2.266531877120e+00 2.365230000000e+00 2.800000000000e+00 - 9 HQP_YQQ 1.100000000000e+00 3.003289000000e+04 8.000000000000e+03 5.851309180000e+01 6.793406919305e-01 1.484417834231e-01 2.527765811937e-01 2.102337100000e-01 3.580000000000e-01 3.047801550000e-01 5.190000000000e-01 4.413195014134e-01 7.515083166539e-01 2.779970939319e-02 4.733920151418e-02 5.872450000000e-03 1.000000000000e-02 1.497566864030e-01 2.550156857921e-01 1.652849536798e-01 2.814582562299e-01 2.135990170631e-02 3.637306695895e-02 1.579023074208e-02 2.688865931950e-02 2.154014660000e+00 3.668000000000e+00 4.365407276622e-02 7.433707016018e-02 9.832452617817e-02 1.674335689162e-01 1.525707264736e-03 2.598076211353e-03 3.835285360872e-01 6.530980018343e-01 1.497474750000e-01 2.550000000000e-01 1.038527466201e-02 1.768473918383e-02 0.000000000000e+00 0.000000000000e+00 3.162317051299e-01 5.385004642524e-01 1.726500300000e-01 2.940000000000e-01 1.632541100000e-01 2.780000000000e-01 3.171123000000e-02 5.400000000000e-02 5.352739785655e-01 9.115002742731e-01 5.226480500000e-02 8.900000000000e-02 1.118851994140e-02 1.905255888326e-02 1.644286000000e+00 2.800000000000e+00 1.150798354285e+00 1.959656283638e+00 1.106964613368e-01 1.885013262553e-01 2.140022626874e-02 3.644173431658e-02 3.846965753690e-01 6.550870171206e-01 7.833848300000e-01 1.334000000000e+00 3.228089290391e-01 5.497006003271e-01 1.373450433921e-02 2.338803112705e-02 0.000000000000e+00 0.000000000000e+00 1.779991808859e-02 3.031088913246e-02 1.335988828226e-01 2.275010988984e-01 1.703010500000e-01 2.900000000000e-01 5.341072370085e-01 9.095134688392e-01 8.221430000000e-03 1.400000000000e-02 4.874133500000e-02 8.300000000000e-02 4.389463493186e+00 7.474671547968e+00 5.749128550000e-01 9.790000000000e-01 2.371882555000e+00 4.039000000000e+00 7.318279139225e-01 1.246205440527e+00 9.983165000000e-02 1.700000000000e-01 4.110715000000e-03 7.000000000000e-03 3.630841378790e-02 6.182839153657e-02 7.528480900000e-01 1.282000000000e+00 2.357967840079e-01 4.015305094261e-01 2.080190562207e-01 3.542287396584e-01 2.485465605872e+00 4.232416803671e+00 1.037727051620e+00 1.767110918986e+00 1.861436969931e-02 3.169779172119e-02 1.127510400000e-01 1.920000000000e-01 6.931481375167e-02 1.180338934374e-01 1.399410995761e+00 2.383010490955e+00 1.644286000000e+00 2.800000000000e+00 - 10 HQP_YQQ 1.900000000000e+00 3.003289000000e+04 8.000000000000e+03 1.652091845000e+01 3.000819248883e-01 3.396338255758e-02 2.050384110356e-01 6.112263600000e-02 3.690000000000e-01 2.118586760000e-01 1.279000000000e+00 1.974644618177e-01 1.192101505745e+00 1.254609788328e-02 7.574133613820e-02 5.797540000000e-03 3.500000000000e-02 6.083646586221e-02 3.672723784877e-01 3.041180534071e-02 1.835973856023e-01 6.900036966453e-02 4.165582192203e-01 1.470784407922e-02 8.879189152169e-02 9.989989640000e-01 6.031000000000e+00 1.115455846477e-02 6.734055241829e-02 5.412904027692e-02 3.267793598133e-01 1.524914741510e-03 9.205976319761e-03 9.078772202541e-02 5.480894087647e-01 5.284043600000e-02 3.190000000000e-01 5.020816919456e-03 3.031088913246e-02 0.000000000000e+00 0.000000000000e+00 9.267789201427e-02 5.595004468273e-01 3.892634000000e-02 2.350000000000e-01 1.351655040000e-01 8.160000000000e-01 8.447844000000e-03 5.100000000000e-02 1.468434527129e-01 8.865002820079e-01 1.292023200000e-02 7.800000000000e-02 7.205037995772e-03 4.349712634186e-02 4.638032000000e-01 2.800000000000e+00 3.489561549462e-01 2.106663416400e+00 3.000443428267e-02 1.811380688867e-01 7.868961762232e-03 4.750526286634e-02 1.047082355377e-01 6.321281515642e-01 2.544291840000e-01 1.536000000000e+00 9.245339396997e-02 5.581451424137e-01 6.839211887432e-03 4.128861828640e-02 0.000000000000e+00 0.000000000000e+00 9.611278102959e-03 5.802370205356e-02 4.499270370724e-02 2.716229003600e-01 3.064414000000e-02 1.850000000000e-01 1.501574280530e-01 9.065068946235e-01 6.625760000000e-04 4.000000000000e-03 3.909198400000e-01 2.360000000000e+00 1.553508207209e+00 9.378596310216e+00 1.552084280000e-01 9.370000000000e-01 5.524227400000e-01 3.335000000000e+00 2.204822442835e-01 1.331060855108e+00 5.482816400000e-02 3.310000000000e-01 1.209201200000e-02 7.300000000000e-02 1.259112333768e-02 7.601315675592e-02 2.111961000000e-01 1.275000000000e+00 6.459579758385e-02 3.899676268615e-01 6.195085600000e-02 3.740000000000e-01 7.025684181039e-01 4.241435959672e+00 3.007409377210e-01 1.815586062405e+00 6.464361886755e-03 3.902563260218e-02 4.853369200000e-02 2.930000000000e-01 1.538439550430e-02 9.287626176801e-02 4.070479789357e-01 2.457366273066e+00 4.638032000000e-01 2.800000000000e+00 diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTPTNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTPTNORM.yaml index 5cd332f46e..704f97904d 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTPTNORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTPTNORM.yaml @@ -1,7 +1,7 @@ -dataset_label: "ATLAS $t\\bar{t}$ rapidity $p^T_t$" +dataset_label: "ATLAS $t\\bar{t}$ $p^T_t$" x: k1 -y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dp^T_t$ (fb/GeV)' +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dp^T_t$ (1/GeV)' figure_by: - - k2 + - k3 experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTPTNORM_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTPTNORM_SF.yaml new file mode 100644 index 0000000000..d2d7704870 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTPTNORM_SF.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS $t\\bar{t}$ $p^T_t$" +x: k1 +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dp^T_t$ (1/GeV)' +figure_by: + - k2 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM.yaml index 15f3d34e29..3c1404f190 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM.yaml @@ -1,7 +1,7 @@ -dataset_label: "ATLAS $t\\bar{t}$ rapidity $y_t$" +dataset_label: "ATLAS $t\\bar{t}$ $y_t$" x: k1 -y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_t$ (fb)' +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_t$' figure_by: - - k2 + - k3 experiment: "ATLAS" diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml index a03729344c..184259fb45 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTRAPNORM_SF.yaml @@ -1,8 +1,7 @@ -dataset_label: "ATLAS $t\\bar{t}$ rapidity $y_t$" +dataset_label: "ATLAS $t\\bar{t}$ $y_t$" x: k1 -y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_t$ (fb)' +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_t$' figure_by: - - k2 + - k3 experiment: "ATLAS" - diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml index abeb22a12b..1339c95a97 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM.yaml @@ -1,7 +1,7 @@ -dataset_label: "ATLAS $t\\bar{t}$ rapidity $m_{t\bar{t}}$" +dataset_label: "ATLAS $t\\bar{t}$ $m_{t\bar{t}}$" x: k1 -y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dm_{t\bar{t}}$ (fb/GeV)' +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dm_{t\bar{t}}$ (1/GeV)' figure_by: - - k2 + - k3 experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM_SF.yaml new file mode 100644 index 0000000000..1339c95a97 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTMNORM_SF.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS $t\\bar{t}$ $m_{t\bar{t}}$" +x: k1 +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dm_{t\bar{t}}$ (1/GeV)' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml index 6c48de27e6..cff9591b8e 100644 --- a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM.yaml @@ -1,7 +1,7 @@ -dataset_label: "ATLAS $t\\bar{t}$ rapidity $y_{t\bar{t}}$" +dataset_label: "ATLAS $t\\bar{t}$ $y_{t\bar{t}}$" x: k1 -y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_{t\bar{t}}$ (fb)' +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_{t\bar{t}}$' figure_by: - - k2 + - k3 experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM_SF.yaml b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM_SF.yaml new file mode 100644 index 0000000000..5d2c225722 --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_ATLASTOPDIFF8TEVTTRAPNORM_SF.yaml @@ -0,0 +1,7 @@ +dataset_label: "ATLAS $t\\bar{t}$ $y_{t\bar{t}}$" +x: k1 +y_label: '$(1/\sigma_{t\bar{t}})d\sigma_{t\bar{t}}/dy_{t\bar{t}}$' +figure_by: + - k3 + +experiment: "ATLAS" \ No newline at end of file diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPT_SF_DEFAULT.dat deleted file mode 100644 index ff2ac3422d..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTPT_SF_DEFAULT.dat +++ /dev/null @@ -1,66 +0,0 @@ -65 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR -57 MULT CORR -58 MULT CORR -59 MULT CORR -60 MULT CORR -61 MULT CORR -62 MULT CORR -63 MULT CORR -64 MULT CORR -65 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat deleted file mode 100644 index c846c70374..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTRAP_SF_DEFAULT.dat +++ /dev/null @@ -1,58 +0,0 @@ -57 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR -57 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTM_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTM_SF_DEFAULT.dat deleted file mode 100644 index bf1b3f391b..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTM_SF_DEFAULT.dat +++ /dev/null @@ -1,65 +0,0 @@ -64 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR -57 MULT CORR -58 MULT CORR -59 MULT CORR -60 MULT CORR -61 MULT CORR -62 MULT CORR -63 MULT CORR -64 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat deleted file mode 100644 index bc40eee982..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPTNORM_SF_DEFAULT.dat +++ /dev/null @@ -1,57 +0,0 @@ -56 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat deleted file mode 100644 index c846c70374..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTPT_SF_DEFAULT.dat +++ /dev/null @@ -1,58 +0,0 @@ -57 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR -57 MULT ATLASLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat deleted file mode 100644 index c846c70374..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_ATLASTOPDIFF8TEVTTRAP_SF_DEFAULT.dat +++ /dev/null @@ -1,58 +0,0 @@ -57 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CORR -24 MULT CORR -25 MULT CORR -26 MULT CORR -27 MULT CORR -28 MULT CORR -29 MULT CORR -30 MULT CORR -31 MULT CORR -32 MULT CORR -33 MULT CORR -34 MULT CORR -35 MULT CORR -36 MULT CORR -37 MULT CORR -38 MULT CORR -39 MULT CORR -40 MULT CORR -41 MULT CORR -42 MULT CORR -43 MULT CORR -44 MULT CORR -45 MULT CORR -46 MULT CORR -47 MULT CORR -48 MULT CORR -49 MULT CORR -50 MULT CORR -51 MULT CORR -52 MULT CORR -53 MULT CORR -54 MULT CORR -55 MULT CORR -56 MULT CORR -57 MULT ATLASLUMI12 From f9de3ccf17505fc27fc929b6376924070b6850b9 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Mon, 13 May 2019 18:05:24 +0200 Subject: [PATCH 310/429] Removed useless data --- .../commondata/DATA_CMSTOPDIFF8TEVTPT_SF.dat | 9 ------- .../commondata/DATA_CMSTOPDIFF8TEVTRAP_SF.dat | 11 --------- .../commondata/DATA_CMSTOPDIFF8TEVTTM_SF.dat | 8 ------- .../commondata/DATA_CMSTOPDIFF8TEVTTPT_SF.dat | 7 ------ .../DATA_CMSTOPDIFF8TEVTTRAP_SF.dat | 11 --------- .../SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat | 22 ----------------- .../SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat | 24 ------------------- .../SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat | 21 ---------------- .../SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat | 20 ---------------- ...SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat | 24 ------------------- 10 files changed, 157 deletions(-) delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPT_SF.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTRAP_SF.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTM_SF.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTPT_SF.dat delete mode 100644 nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTTRAP_SF.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat delete mode 100644 nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat diff --git a/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPT_SF.dat b/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPT_SF.dat deleted file mode 100644 index 3558577d64..0000000000 --- a/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTPT_SF.dat +++ /dev/null @@ -1,9 +0,0 @@ -CMSTOPDIFF8TEVTPT 21 8 - 1 HQP_PTQ 2.625000000000e+01 3.003289000000e+04 8.000000000000e+03 1.016784000000e+00 5.382000000000e-03 -9.154706433496e-03 -9.003590175982e-01 -7.184065040036e-03 -7.065478056338e-01 -4.481485443600e-03 -4.407509799131e-01 -1.562299070829e-03 -1.536510282251e-01 -5.667132825990e-04 -5.573585762552e-02 -3.475238495124e-04 -3.417872916101e-02 0.000000000000e+00 0.000000000000e+00 -1.147323690322e-04 -1.128384878521e-02 1.016784000000e-03 1.000000000000e-01 2.440281600000e-02 2.400000000000e+00 1.016784000000e-03 1.000000000000e-01 5.083920000000e-03 5.000000000000e-01 9.151056000000e-03 9.000000000000e-01 1.016784000000e-03 1.000000000000e-01 1.525176000000e-02 1.500000000000e+00 7.117488000000e-03 7.000000000000e-01 1.830211200000e-02 1.800000000000e+00 4.067136000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 2.525315162509e-02 2.483629917966e+00 2.691000000000e-02 2.646579804560e+00 - 2 HQP_PTQ 8.875000000000e+01 3.003289000000e+04 8.000000000000e+03 1.643064000000e+00 8.697000000000e-03 2.064391418610e-02 1.256427880235e+00 7.079255845896e-05 4.308569748894e-03 -2.019228511784e-03 -1.228940876182e-01 -1.055244942054e-03 -6.422421415438e-02 -3.951921275394e-04 -2.405214450194e-02 -2.369949211002e-04 -1.442396164119e-02 0.000000000000e+00 0.000000000000e+00 -7.629689990051e-05 -4.643574437789e-03 1.643064000000e-03 1.000000000000e-01 3.286128000000e-03 2.000000000000e-01 3.286128000000e-03 2.000000000000e-01 8.215320000000e-03 5.000000000000e-01 3.286128000000e-03 2.000000000000e-01 1.643064000000e-03 1.000000000000e-01 1.971676800000e-02 1.200000000000e+00 1.314451200000e-02 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 6.572256000000e-03 4.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.661548415119e-02 1.011249966599e+00 4.348500000000e-02 2.646579804560e+00 - 3 HQP_PTQ 1.262500000000e+02 3.003289000000e+04 8.000000000000e+03 1.218176000000e+00 6.448000000000e-03 -5.703584757719e-03 -4.682069551295e-01 1.189416557547e-02 9.763913897061e-01 -3.672239907165e-04 -3.014539694728e-02 -1.218655512575e-03 -1.000393631606e-01 -4.848733111397e-04 -3.980322310895e-02 -2.924019454585e-04 -2.400325941887e-02 0.000000000000e+00 0.000000000000e+00 -9.599642908796e-05 -7.880341517807e-03 0.000000000000e+00 0.000000000000e+00 1.096358400000e-02 9.000000000000e-01 1.218176000000e-03 1.000000000000e-01 4.872704000000e-03 4.000000000000e-01 3.654528000000e-03 3.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.705446400000e-02 1.400000000000e+00 1.949081600000e-02 1.600000000000e+00 1.827264000000e-02 1.500000000000e+00 1.339993600000e-02 1.100000000000e+00 0.000000000000e+00 0.000000000000e+00 5.015799834329e-03 4.117467290711e-01 3.224000000000e-02 2.646579804560e+00 - 4 HQP_PTQ 1.737500000000e+02 3.003289000000e+04 8.000000000000e+03 6.532960000000e-01 3.458000000000e-03 -1.735621730267e-04 -2.656715685183e-02 -3.465589770744e-03 -5.304777269023e-01 7.976487019275e-03 1.220960639477e+00 -8.849545567825e-04 -1.354599686486e-01 -4.907371770340e-04 -7.511712562667e-02 -2.984700674648e-04 -4.568680467427e-02 0.000000000000e+00 0.000000000000e+00 -9.478144727639e-05 -1.450819341866e-02 6.532960000000e-04 1.000000000000e-01 9.799440000000e-03 1.500000000000e+00 1.306592000000e-03 2.000000000000e-01 1.959888000000e-03 3.000000000000e-01 3.919776000000e-03 6.000000000000e-01 6.532960000000e-04 1.000000000000e-01 1.175932800000e-02 1.800000000000e+00 9.146144000000e-03 1.400000000000e+00 1.175932800000e-02 1.800000000000e+00 5.226368000000e-03 8.000000000000e-01 0.000000000000e+00 0.000000000000e+00 1.095246299329e-03 1.676493196544e-01 1.729000000000e-02 2.646579804560e+00 - 5 HQP_PTQ 2.287500000000e+02 3.003289000000e+04 8.000000000000e+03 2.603360000000e-01 1.378000000000e-03 9.685021441127e-05 3.720200602732e-02 6.934293078662e-05 2.663593616965e-02 -6.118325716733e-04 -2.350165062355e-01 4.094726448893e-03 1.572862166159e+00 -4.489157296161e-04 -1.724370542745e-01 -3.624672892043e-04 -1.392305671149e-01 0.000000000000e+00 0.000000000000e+00 -1.298058133924e-04 -4.986087724801e-02 5.206720000000e-04 2.000000000000e-01 3.124032000000e-03 1.200000000000e+00 1.301680000000e-03 5.000000000000e-01 1.301680000000e-03 5.000000000000e-01 2.603360000000e-03 1.000000000000e+00 5.206720000000e-04 2.000000000000e-01 5.727392000000e-03 2.200000000000e+00 2.082688000000e-03 8.000000000000e-01 7.810080000000e-04 3.000000000000e-01 3.384368000000e-03 1.300000000000e+00 0.000000000000e+00 0.000000000000e+00 1.777082788336e-04 6.826112363777e-02 6.890000000000e-03 2.646579804560e+00 - 6 HQP_PTQ 2.862500000000e+02 3.003289000000e+04 8.000000000000e+03 9.799440000000e-02 5.187000000000e-04 7.362926741957e-05 7.513619902726e-02 2.618227922490e-05 2.671813820474e-02 5.545941126000e-05 5.659446994931e-02 -2.255464580123e-04 -2.301625990999e-01 2.118737870554e-03 2.162100967559e+00 -3.851164861403e-04 -3.929984633206e-01 0.000000000000e+00 0.000000000000e+00 -8.169548307563e-05 -8.336750168952e-02 1.959888000000e-04 2.000000000000e-01 1.077938400000e-03 1.100000000000e+00 7.839552000000e-04 8.000000000000e-01 3.919776000000e-04 4.000000000000e-01 1.175932800000e-03 1.200000000000e+00 2.939832000000e-04 3.000000000000e-01 4.115764800000e-03 4.200000000000e+00 1.371921600000e-03 1.400000000000e+00 2.547854400000e-03 2.600000000000e+00 1.175932800000e-03 1.200000000000e+00 0.000000000000e+00 0.000000000000e+00 2.723618833147e-05 2.779361711636e-02 2.593500000000e-03 2.646579804560e+00 - 7 HQP_PTQ 3.562500000000e+02 3.003289000000e+04 8.000000000000e+03 3.192800000000e-02 1.690000000000e-04 6.540210250261e-05 2.048424658689e-01 -5.079296605789e-06 -1.590859623462e-02 5.008346584512e-05 1.568637742581e-01 -5.252130970602e-05 -1.644992160675e-01 1.211584827192e-04 3.794740751665e-01 7.733549476246e-04 2.422184125610e+00 0.000000000000e+00 0.000000000000e+00 -4.014991575784e-04 -1.257514274550e+00 9.578400000000e-05 3.000000000000e-01 8.620560000000e-04 2.700000000000e+00 9.578400000000e-05 3.000000000000e-01 1.596400000000e-04 5.000000000000e-01 4.789200000000e-04 1.500000000000e+00 1.277120000000e-04 4.000000000000e-01 1.628328000000e-03 5.100000000000e+00 5.108480000000e-04 1.600000000000e+00 1.309048000000e-03 4.100000000000e+00 4.789200000000e-04 1.500000000000e+00 0.000000000000e+00 0.000000000000e+00 3.613170225126e-06 1.131661934705e-02 8.450000000000e-04 2.646579804560e+00 - 8 HQP_PTQ 4.462500000000e+02 3.003289000000e+04 8.000000000000e+03 9.087200000000e-03 4.810000000000e-05 1.440624132115e-05 1.585333361338e-01 9.217185655440e-06 1.014304258236e-01 -5.769910220803e-06 -6.349491835553e-02 8.077901614092e-05 8.889318617497e-01 -6.374709156252e-05 -7.015042209099e-01 3.028853843933e-04 3.333099132772e+00 0.000000000000e+00 0.000000000000e+00 3.885150867543e-04 4.275410321709e+00 2.726160000000e-05 3.000000000000e-01 3.816624000000e-04 4.200000000000e+00 6.361040000000e-05 7.000000000000e-01 8.178480000000e-05 9.000000000000e-01 1.544824000000e-04 1.700000000000e+00 6.361040000000e-05 7.000000000000e-01 6.270168000000e-04 6.900000000000e+00 2.453544000000e-04 2.700000000000e+00 2.817032000000e-04 3.100000000000e+00 1.090464000000e-04 1.200000000000e+00 2.726160000000e-05 3.000000000000e-01 4.187149158409e-07 4.607744033815e-03 2.405000000000e-04 2.646579804560e+00 diff --git a/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTRAP_SF.dat b/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTRAP_SF.dat deleted file mode 100644 index 5939c96c22..0000000000 --- a/nnpdfcpp/data/commondata/DATA_CMSTOPDIFF8TEVTRAP_SF.dat +++ /dev/null @@ -1,11 +0,0 @@ -CMSTOPDIFF8TEVTRAP 23 10 - 1 HQP_YQ -2.010000000000e+00 3.003289000000e+04 8.000000000000e+03 1.807616000000e+01 9.568000000000e-02 3.484689953913e-03 1.927782202588e-02 -6.427617344464e-03 -3.555853314235e-02 3.484797835661e-02 1.927841884372e-01 -3.126494111921e-01 -1.729622946423e+00 1.644220189140e-02 9.096070122968e-02 -8.181507710744e-02 -4.526131496260e-01 2.018722828938e-01 1.116787431035e+00 -5.892477960988e-02 -3.259806264709e-01 2.327598612072e-01 1.287662098627e+00 1.263734266971e-02 6.991165529464e-02 3.615232000000e-02 2.000000000000e-01 2.169139200000e-01 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1.116537021845e+00 1.434120035457e+00 1.936587602444e-01 2.487422294778e-01 6.566290805389e-01 8.433978469504e-01 7.785520000000e-02 1.000000000000e-01 4.671312000000e-01 6.000000000000e-01 3.114208000000e-01 4.000000000000e-01 4.671312000000e-01 6.000000000000e-01 1.557104000000e-01 2.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.671312000000e-01 6.000000000000e-01 1.012117600000e+00 1.300000000000e+00 7.785520000000e-02 1.000000000000e-01 2.335656000000e-01 3.000000000000e-01 7.785520000000e-02 1.000000000000e-01 3.587368333015e-03 4.607744033815e-03 2.060500000000e+00 2.646579804560e+00 - 9 HQP_YQQ 1.090000000000e+00 3.003289000000e+04 8.000000000000e+03 5.648800000000e+01 2.990000000000e-01 1.029843641084e-03 1.823119319297e-03 -5.778318775710e-03 -1.022928546897e-02 -5.459192437927e-02 -9.664340103964e-02 1.326873096798e-01 2.348946850301e-01 -4.553032694099e-01 -8.060176841274e-01 -7.934158150702e-01 -1.404574095507e+00 2.722939943546e-01 4.820386530848e-01 -1.209429729446e-01 -2.141038325744e-01 -1.035249741872e-01 -1.832689671917e-01 2.120979835151e-01 3.754744078655e-01 1.129760000000e-01 2.000000000000e-01 2.259520000000e-01 4.000000000000e-01 2.259520000000e-01 4.000000000000e-01 1.694640000000e-01 3.000000000000e-01 3.389280000000e-01 6.000000000000e-01 0.000000000000e+00 0.000000000000e+00 4.519040000000e-01 8.000000000000e-01 3.954160000000e-01 7.000000000000e-01 9.602960000000e-01 1.700000000000e+00 1.129760000000e-01 2.000000000000e-01 5.648800000000e-02 1.000000000000e-01 1.059781127778e-03 1.876117277612e-03 1.495000000000e+00 2.646579804560e+00 - 10 HQP_YQQ 1.820000000000e+00 3.003289000000e+04 8.000000000000e+03 1.574296000000e+01 8.333000000000e-02 3.126847190837e-03 1.986187598036e-02 3.800453849170e-01 2.414065619915e+00 3.309317036278e-02 2.102093276155e-01 6.708710659432e-03 4.261403611158e-02 2.457319690392e-01 1.560900675853e+00 3.041555406260e-02 1.932009867433e-01 1.867435169575e-01 1.186203337603e+00 -1.764694887919e-01 -1.120942242068e+00 -5.929379026376e-03 -3.766368603094e-02 -4.395226221710e-02 -2.791867743874e-01 6.297184000000e-02 4.000000000000e-01 1.889155200000e-01 1.200000000000e+00 1.259436800000e-01 8.000000000000e-01 6.297184000000e-02 4.000000000000e-01 2.204014400000e-01 1.400000000000e+00 1.574296000000e-02 1.000000000000e-01 3.306021600000e-01 2.100000000000e+00 1.731725600000e-01 1.100000000000e+00 2.361444000000e-01 1.500000000000e+00 2.046584800000e-01 1.300000000000e+00 1.259436800000e-01 8.000000000000e-01 1.202591174949e-04 7.638913996792e-04 4.166500000000e-01 2.646579804560e+00 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat deleted file mode 100644 index 745d01fcd3..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTPT_SF_DEFAULT.dat +++ /dev/null @@ -1,22 +0,0 @@ -21 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat deleted file mode 100644 index 19ad7c70d6..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTRAP_SF_DEFAULT.dat +++ /dev/null @@ -1,24 +0,0 @@ -23 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat deleted file mode 100644 index ef871341e3..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTM_SF_DEFAULT.dat +++ /dev/null @@ -1,21 +0,0 @@ -20 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat deleted file mode 100644 index 4a7a136ee2..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTPT_SF_DEFAULT.dat +++ /dev/null @@ -1,20 +0,0 @@ -19 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CMSLUMI12 diff --git a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat b/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat deleted file mode 100644 index 19ad7c70d6..0000000000 --- a/nnpdfcpp/data/commondata/systypes/SYSTYPE_CMSTOPDIFF8TEVTTRAP_SF_DEFAULT.dat +++ /dev/null @@ -1,24 +0,0 @@ -23 -1 MULT CORR -2 MULT CORR -3 MULT CORR -4 MULT CORR -5 MULT CORR -6 MULT CORR -7 MULT CORR -8 MULT CORR -9 MULT CORR -10 MULT CORR -11 MULT CORR -12 MULT CORR -13 MULT CORR -14 MULT CORR -15 MULT CORR -16 MULT CORR -17 MULT CORR -18 MULT CORR -19 MULT CORR -20 MULT CORR -21 MULT CORR -22 MULT CORR -23 MULT CMSLUMI12 From 6ae69bea0fedb5e38f32dde385647e1cab17a57b Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 14 May 2019 11:02:01 +0100 Subject: [PATCH 311/429] fixing bug in theta dependencies --- validphys2/src/validphys/theorycovariance/tests.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index b7426723ba..67df0f4d70 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -567,7 +567,7 @@ def validation_theory_chi2(theory_shift_test): print(f"Theory chi2 = {th_chi2}") return th_chi2 -def theta(costheta): +def theta(theory_shift_test): """Returns the angle between the NNLO-NLO shift vector and the component of this which is captured by the theory covariance matrix""" From 148ebd6477e79a13ec381e09b8483dc5e15968e2 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 14 May 2019 17:35:00 +0100 Subject: [PATCH 312/429] updating plot labels in line with PRL --- validphys2/src/validphys/theorycovariance/tests.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 67df0f4d70..39dce500ea 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -617,9 +617,10 @@ def projector_eigenvalue_ratio(theory_shift_test): return fig @figure -def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): +def shift_diag_cov_comparison(allthx_vector, shx_vector, thx_covmat, thx_vector): """Produces a plot of a comparison between the NNLO-NLO shift and the envelope given by the diagonal elements of the theory covariance matrix.""" + l = len(allthx_vector[0]) matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) fnorm = -shx_vector[0] indexlist = list(matrix.index.values) @@ -649,7 +650,7 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): fnorm = fnorm.reindex(newindex) # Plotting fig, ax = plt.subplots(figsize=(20,10)) - ax.plot(sqrtdiags*100, '.-', label="Theory", color = "red") + ax.plot(sqrtdiags*100, '.-', label=f"MHOU ({l} pt)", color = "red") ax.plot(-sqrtdiags*100, '.-', color = "red") ax.plot(fnorm.values*100, '.-', label="NNLO-NLO Shift", color = "black") ticklocs, ticklabels, startlocs = matrix_plot_labels(matrix) @@ -658,7 +659,8 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): startlocs_lines = [x-0.5 for x in startlocs] ax.vlines(startlocs_lines, -70, 70, linestyles='dashed') ax.margins(x=0, y=0) - ax.set_ylabel("% of central theory", fontsize=20) + ax.set_ylabel(r"% wrt central theory T_i^{(0)}", fontsize=20) + ax.set_ylim(-35, 35) ax.legend(fontsize=20) ax.yaxis.set_tick_params(labelsize=20) return fig From 67564afabc4f0094046d90b3875cbc959a8d10f7 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 14 May 2019 17:57:49 +0100 Subject: [PATCH 313/429] fix plotlabel --- validphys2/src/validphys/theorycovariance/tests.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 39dce500ea..08aee51a58 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -620,7 +620,7 @@ def projector_eigenvalue_ratio(theory_shift_test): def shift_diag_cov_comparison(allthx_vector, shx_vector, thx_covmat, thx_vector): """Produces a plot of a comparison between the NNLO-NLO shift and the envelope given by the diagonal elements of the theory covariance matrix.""" - l = len(allthx_vector[0]) + l = len(allthx_vector[0]) + 1 matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) fnorm = -shx_vector[0] indexlist = list(matrix.index.values) @@ -659,7 +659,7 @@ def shift_diag_cov_comparison(allthx_vector, shx_vector, thx_covmat, thx_vector) startlocs_lines = [x-0.5 for x in startlocs] ax.vlines(startlocs_lines, -70, 70, linestyles='dashed') ax.margins(x=0, y=0) - ax.set_ylabel(r"% wrt central theory T_i^{(0)}", fontsize=20) + ax.set_ylabel(r"% wrt central theory $T_i^{(0)}$", fontsize=20) ax.set_ylim(-35, 35) ax.legend(fontsize=20) ax.yaxis.set_tick_params(labelsize=20) From 391033a19668d44811238d48a97195a1679f3b1e Mon Sep 17 00:00:00 2001 From: wilsonmr Date: Fri, 3 May 2019 14:07:24 +0100 Subject: [PATCH 314/429] added new table which has same format as experiment_result_table but gives confidence levels of replicas instead of all replica values --- validphys2/src/validphys/results.py | 19 ++++++++++++++++++- 1 file changed, 18 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 23c3a8d8aa..8a976bfb3e 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -206,9 +206,26 @@ def experiment_result_table_no_table(experiments, pdf, experiments_index): @table def experiment_result_table(experiment_result_table_no_table): - """Duplicate of experiments_result_table_no_table but with a table decorator.""" + """Duplicate of experiment_result_table_no_table but with a table decorator.""" return experiment_result_table_no_table +@table +def experiment_result_table_68cl(experiment_result_table_no_table): + """Like experiment_result_table but instead of giving the theory prediction + for each replica, instead gives the upper and lower bounds of the 68 CL + """ + df = experiment_result_table_no_table + # replica data is every columns after central values + replica_data = df.iloc[:, 2:].values + confidence_level = np.percentile( + replica_data, [16, 84], axis=1).T + df_cl = pd.DataFrame( + confidence_level, + index=df.index, + columns=['theory_lower', 'theory_upper']) + res = pd.concat([df.iloc[:, :2], df_cl], axis=1) + return res + def experiments_covmat_no_table(experiments, experiments_index, t0set): """Export the covariance matrix for the experiments. It exports the full (symmetric) matrix, with the 3 first rows and columns being: From 51fa5dba369a62db61785390d57681f8f1234ee5 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 3 May 2019 15:27:53 +0100 Subject: [PATCH 315/429] used internal confidence interval calc for compatibility with all implemented PDF types, changed documentation --- validphys2/src/validphys/results.py | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 8a976bfb3e..105fabf3ad 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -210,17 +210,19 @@ def experiment_result_table(experiment_result_table_no_table): return experiment_result_table_no_table @table -def experiment_result_table_68cl(experiment_result_table_no_table): - """Like experiment_result_table but instead of giving the theory prediction - for each replica, instead gives the upper and lower bounds of the 68 CL +def experiment_result_table_68cl(experiment_result_table_no_table: pd.DataFrame, pdf: PDF): + """Generate a table containing the data central value, the central prediction, + and 68% confidence level bounds of the prediction. """ df = experiment_result_table_no_table - # replica data is every columns after central values - replica_data = df.iloc[:, 2:].values - confidence_level = np.percentile( - replica_data, [16, 84], axis=1).T + # replica data is every columns after central values, transpose for stats class + replica_data = df.iloc[:, 2:].values.T + # Use pdf stats class but reshape output to have each row as a data point + stats = [level.reshape(-1, 1) for level in pdf.stats_class(replica_data).errorbar68()] + # concatenate for dataframe construction + stats_array = np.concatenate(stats, axis=1) df_cl = pd.DataFrame( - confidence_level, + stats_array, index=df.index, columns=['theory_lower', 'theory_upper']) res = pd.concat([df.iloc[:, :2], df_cl], axis=1) From 7be625c5bae548316e3627716df3b6f939d5039f Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 15 May 2019 13:56:19 +0100 Subject: [PATCH 316/429] fixed experiment_result_no_table to work with master --- validphys2/src/validphys/results.py | 32 +++++++++-------------------- 1 file changed, 10 insertions(+), 22 deletions(-) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index 105fabf3ad..eff1ecfa38 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -169,33 +169,21 @@ def experiments_data(experiment_result_table): data_central_values = experiment_result_table["data_central"] return data_central_values - -#TODO: Use collect to calculate results outside this -def experiment_result_table_no_table(experiments, pdf, experiments_index): +def experiment_result_table_no_table(experiments_results, experiments_index): """Generate a table containing the data central value, the central prediction, and the prediction for each PDF member.""" - result_records = [] - for exp_index, experiment in enumerate(experiments): - loaded_exp = experiment.load() - - - - data_result = DataResult(loaded_exp) - th_result = ThPredictionsResult.from_convolution(pdf, experiment, - loaded_data=loaded_exp) - - - for index in range(len(data_result.central_value)): - replicas = (('rep_%05d'%(i+1), th_result._rawdata[index,i]) for - i in range(th_result._rawdata.shape[1])) - - result_records.append(OrderedDict([ - ('data_central', data_result.central_value[index]), - ('theory_central', th_result.central_value[index]), + for experiment_results in experiments_results: + dt, th = experiment_results + for index, (dt_central, th_central) in enumerate(zip(dt.central_value, th.central_value)): + replicas = (('rep_%05d'%(i+1), th_rep) for + i, th_rep in enumerate(th._rawdata[index, :])) + + result_records.append(dict([ + ('data_central', dt_central), + ('theory_central', th_central), *replicas ])) - if not result_records: log.warning("Empty records for experiment results") return pd.DataFrame() From 25e9f9eed8781a2a90edd5c4913ac6a07480061c Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 15 May 2019 15:19:53 +0100 Subject: [PATCH 317/429] fixed the various experiments cov mat functions to work with new covmat structure --- validphys2/src/validphys/results.py | 49 ++++++++++++----------------- 1 file changed, 20 insertions(+), 29 deletions(-) diff --git a/validphys2/src/validphys/results.py b/validphys2/src/validphys/results.py index eff1ecfa38..4cdde502a7 100644 --- a/validphys2/src/validphys/results.py +++ b/validphys2/src/validphys/results.py @@ -216,7 +216,11 @@ def experiment_result_table_68cl(experiment_result_table_no_table: pd.DataFrame, res = pd.concat([df.iloc[:, :2], df_cl], axis=1) return res -def experiments_covmat_no_table(experiments, experiments_index, t0set): +experiments_covariance_matrix = collect('experiment_covariance_matrix', ('experiments',)) + + +def experiments_covmat_no_table( + experiments, experiments_index, experiments_covariance_matrix): """Export the covariance matrix for the experiments. It exports the full (symmetric) matrix, with the 3 first rows and columns being: @@ -228,15 +232,10 @@ def experiments_covmat_no_table(experiments, experiments_index, t0set): """ data = np.zeros((len(experiments_index),len(experiments_index))) df = pd.DataFrame(data, index=experiments_index, columns=experiments_index) - for experiment in experiments: + for experiment, experiment_covmat in zip( + experiments, experiments_covariance_matrix): name = experiment.name - loaded_exp = experiment.load() - if t0set: - #Copy data to avoid chaos - loaded_exp = type(loaded_exp)(loaded_exp) - log.debug("Setting T0 predictions for %s" % loaded_exp) - loaded_exp.SetT0(t0set.load_t0()) - mat = loaded_exp.get_covmat() + mat, _ = experiment_covmat df.loc[[name],[name]] = mat return df @@ -246,45 +245,37 @@ def experiments_covmat(experiments_covmat_no_table): return experiments_covmat_no_table @table -def experiments_sqrtcovmat(experiments, experiments_index, t0set): +def experiments_sqrtcovmat( + experiments, experiments_index, experiments_covariance_matrix): """Like experiments_covmat, but dump the lower triangular part of the Cholesky decomposition as used in the fit. The upper part indices are set to zero. """ data = np.zeros((len(experiments_index),len(experiments_index))) df = pd.DataFrame(data, index=experiments_index, columns=experiments_index) - for experiment in experiments: + for experiment, experiment_covmat in zip( + experiments, experiments_covariance_matrix): name = experiment.name - loaded_exp = experiment.load() - if t0set: - #Copy data to avoid chaos - data = type(loaded_exp)(loaded_exp) - log.debug("Setting T0 predictions for %s" % loaded_exp) - data.SetT0(t0set.load_t0()) - mat = loaded_exp.get_sqrtcovmat() + _, mat = experiment_covmat mat[np.triu_indices_from(mat, k=1)] = 0 df.loc[[name],[name]] = mat return df @table -def experiments_invcovmat(experiments, experiments_index, t0set): +def experiments_invcovmat( + experiments, experiments_index, experiments_covariance_matrix): """Compute and export the inverse covariance matrix. Note that this inverts the matrices with the LU method which is suboptimal.""" data = np.zeros((len(experiments_index),len(experiments_index))) df = pd.DataFrame(data, index=experiments_index, columns=experiments_index) - for experiment in experiments: + for experiment, experiment_covmat in zip( + experiments, experiments_covariance_matrix): name = experiment.name - loaded_exp = experiment.load() - loaded_exp = experiment.load() - if t0set: - #Copy data to avoid chaos - data = type(loaded_exp)(loaded_exp) - log.debug("Setting T0 predictions for %s" % loaded_exp) - data.SetT0(t0set.load_t0()) + cov, _ = experiment_covmat #Improve this inversion if this method tuns out to be important - mat = la.inv(loaded_exp.get_covmat()) - df.loc[[name],[name]] = mat + invcov = la.inv(cov) + df.loc[[name],[name]] = invcov return df From 3c58814f5fbde35afb6d6680408068a53c40b835 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 15 May 2019 15:30:56 +0100 Subject: [PATCH 318/429] moved API class to seperate module, to avoid mpl backend issues --- doc/sphinx/source/usage/api.md | 10 +++++----- validphys2/src/validphys/api.py | 10 ++++++++++ validphys2/src/validphys/app.py | 4 +--- 3 files changed, 16 insertions(+), 8 deletions(-) create mode 100644 validphys2/src/validphys/api.py diff --git a/doc/sphinx/source/usage/api.md b/doc/sphinx/source/usage/api.md index d60200b37c..cb9810352f 100644 --- a/doc/sphinx/source/usage/api.md +++ b/doc/sphinx/source/usage/api.md @@ -11,7 +11,7 @@ parameters as a runcard. For example: ```python -from validphys.app import API +from validphys.api import API figs = API.plot_pdfs(pdfs=["NNPDF31_nlo_as_0118"], Q=2) for f, _ in figs: @@ -48,7 +48,7 @@ def expensive_provider2(experiments, ...): Now in a notebook we can do ```python -from validphys.app import API +from validphys.api import API expensive1 = API.expesnive_provider1(pdf="NNPDF31_nlo_as_0118", Q=100, theoryid=52) expensive2 = API.expensive_provider2(experiments={"from_": "fit"}, fit="NNPDF31_nlo_as_0118") @@ -97,7 +97,7 @@ the `validphys --help` functionality. If a figure is created using the api, as with the first example: ```python -from validphys.app import API +from validphys.api import API fig = API.some_plot(...) fig.show() @@ -121,7 +121,7 @@ import matplotlib from validphys import mplstyles matplotlib.style.use(str(mplstyles.smallstyle)) -from validphys.app import API +from validphys.api import API figs = API.plot_pdfs(pdfs=["NNPDF31_nlo_as_0118"], Q=2) for f, _ in figs: @@ -140,7 +140,7 @@ xgrid input, but then rely on the API to collect the other relevant resources, f ```python import numpy as np -from validphys.app import API +from validphys.api import API new_xgrid = ("linear", np.array([0.1, 0.2]) pdf_grid = API.xplotting_grid(pdf="NNPDF31_nlo_as_0118", Q=2, xgrid=new_xgrid) diff --git a/validphys2/src/validphys/api.py b/validphys2/src/validphys/api.py new file mode 100644 index 0000000000..a4a0e1ca6e --- /dev/null +++ b/validphys2/src/validphys/api.py @@ -0,0 +1,10 @@ +import logging + +from reportengine import api + +from validphys.app import providers, App +from validphys.config import Config, Environment + +log = logging.getLogger(__name__) + +API = api.API(providers, Config, Environment) diff --git a/validphys2/src/validphys/app.py b/validphys2/src/validphys/app.py index 9299804656..ae6707c107 100644 --- a/validphys2/src/validphys/app.py +++ b/validphys2/src/validphys/app.py @@ -15,7 +15,7 @@ import contextlib -from reportengine import app, api +from reportengine import app from validphys.config import Config, Environment from validphys import uploadutils @@ -48,8 +48,6 @@ log = logging.getLogger(__name__) -API = api.API(providers, Config, Environment) - class App(app.App): environment_class = Environment From e327a07f4d2d25a16a426d098f413aaf01de6874 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 15 May 2019 17:02:41 +0100 Subject: [PATCH 319/429] Adding eigenvector plot --- .../src/validphys/theorycovariance/tests.py | 41 +++++++++++++++++++ 1 file changed, 41 insertions(+) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 08aee51a58..b8d867c461 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -11,6 +11,7 @@ import numpy as np import scipy.linalg as la import matplotlib.pyplot as plt +from matplotlib.ticker import MaxNLocator import pandas as pd from reportengine.checks import make_argcheck @@ -616,6 +617,46 @@ def projector_eigenvalue_ratio(theory_shift_test): print(f"Subspace dimension = {len(evals)}") return fig +@figure +def eigenvector_plot(evals_nonzero_basis, shx_vector): + """Produces a plot of the eigenvectors for the + projected matrix, transformed back to the data space.""" + evals = evals_nonzero_basis[0][::-1] + evecs = evals_nonzero_basis[1].T[::-1] + f = shx_vector[0] + indexlist = list(f.index.values) + # adding process index for plotting, and reindexing matrices and vectors + dsnames = [] + processnames= [] + ids = [] + for index in indexlist: + name = index[0] + i = index[1] + dsnames.append(name) + ids.append(i) + proc = process_lookup(name) + processnames.append(proc) + tripleindex = pd.MultiIndex.from_arrays([processnames, dsnames, ids], + names = ("process", "dataset", "id")) + fig, axes = plt.subplots(nrows=len(evecs), figsize=(10, 2*len(evecs))) + fig.subplots_adjust(hspace=0.8) + fig.title('Non-zero Eigenvectors') + for ax, evec, eval in zip(axes.flatten(), evecs, evals): + evec = pd.DataFrame(evec, index=tripleindex) + evec.sort_index(0, inplace=True) + oldindex = evec.index.tolist() + newindex = sorted(oldindex, key=_get_key) + evec = evec.reindex(newindex) + ax.plot(evec.values) + ax.text(5, evec.max()/2, f'eigenvalue = {eval}') + ticklocs, ticklabels, startlocs = matrix_plot_labels(evec) + # Shift startlocs elements 0.5 to left so lines are between indexes + startlocs_lines = [x-0.5 for x in startlocs] + ax.vlines(startlocs_lines, evec.min(), evec.max(), linestyles='dashed') + ax.margins(x=0, y=0) + ax.xticks(ticklocs, ticklabels, rotation=45, fontsize=10) + return fig + @figure def shift_diag_cov_comparison(allthx_vector, shx_vector, thx_covmat, thx_vector): """Produces a plot of a comparison between the NNLO-NLO shift and the From c9a1bb2967f9d9197657e9ee837ee693d7875600 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 15 May 2019 17:21:04 +0100 Subject: [PATCH 320/429] fixing title --- validphys2/src/validphys/theorycovariance/tests.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index b8d867c461..2ed95895e8 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -640,7 +640,7 @@ def eigenvector_plot(evals_nonzero_basis, shx_vector): names = ("process", "dataset", "id")) fig, axes = plt.subplots(nrows=len(evecs), figsize=(10, 2*len(evecs))) fig.subplots_adjust(hspace=0.8) - fig.title('Non-zero Eigenvectors') + fig.suptitle('Non-zero Eigenvectors') for ax, evec, eval in zip(axes.flatten(), evecs, evals): evec = pd.DataFrame(evec, index=tripleindex) evec.sort_index(0, inplace=True) From 27209d735f53500dd54b91757917bffdd03c9a18 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 15 May 2019 17:40:18 +0100 Subject: [PATCH 321/429] fixing xticks --- validphys2/src/validphys/theorycovariance/tests.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 2ed95895e8..f21d79605e 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -654,7 +654,7 @@ def eigenvector_plot(evals_nonzero_basis, shx_vector): startlocs_lines = [x-0.5 for x in startlocs] ax.vlines(startlocs_lines, evec.min(), evec.max(), linestyles='dashed') ax.margins(x=0, y=0) - ax.xticks(ticklocs, ticklabels, rotation=45, fontsize=10) + fig.xticks(ticklocs, ticklabels, rotation=45, fontsize=10) return fig @figure From 606d118d3571dd42605ff65f6aa95ccdf6d4f4d8 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 16 May 2019 10:28:37 +0100 Subject: [PATCH 322/429] fix bug in axes label --- validphys2/src/validphys/theorycovariance/tests.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index f21d79605e..6cc66b3f88 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -654,7 +654,7 @@ def eigenvector_plot(evals_nonzero_basis, shx_vector): startlocs_lines = [x-0.5 for x in startlocs] ax.vlines(startlocs_lines, evec.min(), evec.max(), linestyles='dashed') ax.margins(x=0, y=0) - fig.xticks(ticklocs, ticklabels, rotation=45, fontsize=10) + plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=10) return fig @figure From 9cc1cab0b22b9f7451b1962a1d85615c6f26de76 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Thu, 16 May 2019 14:25:35 +0100 Subject: [PATCH 323/429] added module docstring and comment explaining why we need a seperate module --- validphys2/src/validphys/api.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/validphys2/src/validphys/api.py b/validphys2/src/validphys/api.py index a4a0e1ca6e..0514d28855 100644 --- a/validphys2/src/validphys/api.py +++ b/validphys2/src/validphys/api.py @@ -1,3 +1,19 @@ +""" +api.py + +This module contains the `reportengine` programmatic API, initialized with the +validphys providers, Config and Environment. + +Example: +-------- + +Simple Usage: + +>> from validphys.api import API +>> fig = API.plot_pdfs(pdf="NNPDF_nlo_as_0118", Q=100) +>> fig.show() + +""" import logging from reportengine import api @@ -7,4 +23,6 @@ log = logging.getLogger(__name__) +# API needed its own module, so that it can be used with any Matplotlib backend +# without breaking validphys.app API = api.API(providers, Config, Environment) From e820fd48151183d51253a6932d787cf607318c4a Mon Sep 17 00:00:00 2001 From: juacrumar Date: Fri, 17 May 2019 09:56:38 +0200 Subject: [PATCH 324/429] first commit of the n3fit fitting code --- n3fit/HyperAlgorithm.py | 461 +++++++++++++ n3fit/HyperScanner.py | 210 ++++++ n3fit/ModelTrainer.py | 529 +++++++++++++++ n3fit/backends/__init__.py | 10 + n3fit/backends/keras_backend/MetaLayer.py | 170 +++++ n3fit/backends/keras_backend/MetaModel.py | 103 +++ n3fit/backends/keras_backend/__init__.py | 0 n3fit/backends/keras_backend/base_layers.py | 62 ++ n3fit/backends/keras_backend/debug_mode.py | 38 ++ n3fit/backends/keras_backend/losses.py | 24 + n3fit/backends/keras_backend/operations.py | 111 ++++ n3fit/constrains.py | 158 +++++ n3fit/create_testset.py | 106 +++ n3fit/evolven3fit/evolven3fit.cc | 106 +++ n3fit/evolven3fit/makefile | 19 + n3fit/evolven3fit/version.h | 1 + n3fit/filetrials.py | 54 ++ n3fit/fit.py | 256 ++++++++ n3fit/layers/DIS.py | 20 + n3fit/layers/DY.py | 39 ++ n3fit/layers/Integration.py | 106 +++ n3fit/layers/Mask.py | 25 + n3fit/layers/Observable.py | 43 ++ n3fit/layers/Preprocessing.py | 89 +++ n3fit/layers/__init__.py | 7 + n3fit/model_gen.py | 221 +++++++ n3fit/n3fit.py | 180 +++++ n3fit/plotting.py | 691 ++++++++++++++++++++ n3fit/reader.py | 256 ++++++++ n3fit/readme.md | 280 ++++++++ n3fit/runcards/Basic_runcard.yml | 149 +++++ n3fit/runcards/PN3_DIS_example.yml | 179 +++++ n3fit/runcards/PN3_Global_example.yml | 265 ++++++++ n3fit/statistics.py | 308 +++++++++ n3fit/writer.py | 104 +++ 35 files changed, 5380 insertions(+) create mode 100644 n3fit/HyperAlgorithm.py create mode 100644 n3fit/HyperScanner.py create mode 100644 n3fit/ModelTrainer.py create mode 100644 n3fit/backends/__init__.py create mode 100644 n3fit/backends/keras_backend/MetaLayer.py create mode 100644 n3fit/backends/keras_backend/MetaModel.py create mode 100644 n3fit/backends/keras_backend/__init__.py create mode 100644 n3fit/backends/keras_backend/base_layers.py create mode 100644 n3fit/backends/keras_backend/debug_mode.py create mode 100644 n3fit/backends/keras_backend/losses.py create mode 100644 n3fit/backends/keras_backend/operations.py create mode 100644 n3fit/constrains.py create mode 100644 n3fit/create_testset.py create mode 100644 n3fit/evolven3fit/evolven3fit.cc create mode 100644 n3fit/evolven3fit/makefile create mode 100644 n3fit/evolven3fit/version.h create mode 100644 n3fit/filetrials.py create mode 100644 n3fit/fit.py create mode 100644 n3fit/layers/DIS.py create mode 100644 n3fit/layers/DY.py create mode 100644 n3fit/layers/Integration.py create mode 100644 n3fit/layers/Mask.py create mode 100644 n3fit/layers/Observable.py create mode 100644 n3fit/layers/Preprocessing.py create mode 100644 n3fit/layers/__init__.py create mode 100644 n3fit/model_gen.py create mode 100755 n3fit/n3fit.py create mode 100755 n3fit/plotting.py create mode 100644 n3fit/reader.py create mode 100644 n3fit/readme.md create mode 100644 n3fit/runcards/Basic_runcard.yml create mode 100644 n3fit/runcards/PN3_DIS_example.yml create mode 100644 n3fit/runcards/PN3_Global_example.yml create mode 100644 n3fit/statistics.py create mode 100644 n3fit/writer.py diff --git a/n3fit/HyperAlgorithm.py b/n3fit/HyperAlgorithm.py new file mode 100644 index 0000000000..e09e14a5a0 --- /dev/null +++ b/n3fit/HyperAlgorithm.py @@ -0,0 +1,461 @@ +import itertools +import numpy as np +from pdb import set_trace + + +class HyperAlgorithm(): + + def __init__(self, key_info, verbose = True, k_good = 'good', k_loss = 'loss', + threshold_reward = 0.0, fail_threshold = 75, how_many_to_kill = 2, remove_by_key = False): + """ + key_info: dictionary of {'keyname' : [list,of,possible,values]} + """ + + self.key_info = key_info + + self.k_good = k_good + self.k_loss = k_loss + + self.verbose = verbose + self.remove_by_key = remove_by_key + + self.threshold_reward = threshold_reward + self.failing_reward = -100 + self.fail_threshold = fail_threshold + + self.how_many_to_kill = how_many_to_kill + + # Some variables are not discrete, find them + update_dict = {} + for key, values in key_info.items(): + try: # Remove nan if there are + np_values = np.array(values) + np_values = np_values[~np.isnan(np_values)] + except: + np_values = values + l = len(np_values) + if l > 10: # break it into five chuncks + np_values.sort() + new_vals = [] + step = int(l/5) + for i in range(0, l-step, step): + ini = np_values[i] + fin = np_values[i+step] + new_vals.append( (ini, fin) ) + update_dict[key] = new_vals + key_info.update(update_dict) + + self.continuous = update_dict + self.biggest_total = 1 + self.perfect_reward = 100.0 + + + def __dataframe_killer(self, dataframe, hit_list): + """ + Remove from the dataframe all entries included in the hit_list + """ + if not hit_list: + return dataframe + indices_to_remove = hit_list[0]['slice'].index + for victim in hit_list[1:]: + indices_to_remove = indices_to_remove.append(victim['slice'].index) + indices_to_drop = indices_to_remove.drop_duplicates() + return dataframe.drop( indices_to_drop ) + + def __verbose_elimination(self, md, printout = True): + """ + Show a log of everything that is being eliminated + if there is only one item in the dictionary, it also removes it from the combination list just to avoid looking at useless combinations + """ + combination = md['combination'] + str_list = [] + for key, item in combination.items(): + str_list.append( "{0}={1}".format(key, item) ) + reward = md['reward'] + if printout: + self.__print("Removing: {0}\n reward: {1:.5f}".format( '\n '.join(str_list), reward)) + + def __print(self, string, **kwargs): + if self.verbose: + print(string, **kwargs) + + def __compute_reward(self, md): + """ + Computes a reward function from the information we have + """ + frate = md['f_rate'] + ngood = md['n_good'] + ntotal = md['n_total'] + # If the fail rate is greater than 75%, kill it + if frate > self.fail_threshold: + return self.failing_reward + dstd = md['median'] - md['best_loss'] + rate_good = ngood/ntotal*100.0 + + # The reward can be negative + reward = (50.0 - frate)/100.0 + reward -= dstd/rate_good # the less spread the better + # Finally scale it with the total number of points + weight_points = 1.0 + ntotal/self.biggest_total + reward *= weight_points + + return reward + + def print_ranges(self, dataframe, keys = None, dataframe_original = None): + """ + Receives a dataframe and a number of keys and prints the surviving keys and ranges + + If dataframe_original is given, will also print (for discrete values) how many of each have survived from the total + """ + # First get the keys we are printing + keys = self.key_info.keys() + + # Now compute all rewards + key_rewards = {} + for key in keys: + combinations = self.get_combinations(1, single_key = key) + key_rewards[key] = [] + for combination in combinations: + md = self.study_combination(dataframe, combination) + key_rewards[key].append(md) + + if dataframe_original is None: + prev = "" + else: + prev = "of {0}".format(len(dataframe_original)) + print("The total number of survivors is {0} {1}".format(len(dataframe), prev)) + + # Now do the printing + for key, results in key_rewards.items(): + print("For key: {0}".format(key)) + list_str = [] + results.sort( key = lambda i: -i['reward'] ) + for md in results: + val = md['combination'][key] + reward = md['reward'] + list_str.append( " Reward: {1:.3f}: {0} ".format(val, reward) ) + print("\n".join(list_str)) + return + + + + + + for key in keys: + df_slice = dataframe[key] + values = set(df_slice) + if len(values) > 5: + ini = df_slice.min() + fin = df_slice.max() + string = " range: ({0}, {1}) ".format(ini, fin) + else: + if dataframe_original is not None: + originals = dataframe_original[key].value_counts() + news = df_slice.value_counts() + string = " values: " + for val in values: + string += "{0} ({1}/{2} {3:2.0f}%), ".format(val, news[val], originals[val], news[val]/originals[val]*100.0 ) + string = string[:-2] + else: + string = " values: {0}".format(values) + + + self.__print("Key: {0}\n > {1}".format(key, string)) + + + def __process_slice(self, df_slice): + """ Function to process a slice into a dictionary with interesting stats + If the slice is None it means the combination does not apply + """ + if df_slice is None: + md = {'skip' : True} + return md + else: + md = {'skip' : False} + + good = df_slice[ df_slice[ self.k_good ] ] + md['n_total'] = len(df_slice) + md['n_good'] = len(good) + if md['n_good'] > self.biggest_total: + self.biggest_total = md['n_good'] + md['n_failed'] = md['n_total'] - md['n_good'] + if md['n_total'] == 0: + md['skip'] = True + return md + else: + f_rate = md['n_failed']/md['n_total']*100 + md['f_rate'] = f_rate + # Compute for each the best loss (among the good ones) and the std dev + good_losses = good[ self.k_loss ] + md['best_loss'] = good_losses.min() + md['std'] = good_losses.std() + md['median'] = good_losses.median() + md['reward'] = self.__compute_reward(md) + return md + + def get_slice(self, dataframe, keys_info): + """ + Returns a slice of the dataframe where some keys match some values + keys_info must be a dictionary {key1 : value1, key2, value2 ...} + """ + df_slice = dataframe + check = False + for key, value in keys_info.items(): + # First check whether for this slice the values for this key are something different from NaN + key_column = df_slice[key] + if len(key_column.dropna()) == 0 and len(key_column) != 0: + return None + if key in self.continuous.keys(): + minim = value[0] + maxim = value[1] + df_slice = df_slice[ key_column >= minim ] + df_slice = df_slice[ key_column <= maxim ] + else: + df_slice = df_slice[ key_column == value ] + return df_slice + + def get_combinations(self, n, key_info = None, single_key = None): + """ + Get all combinations of n elements for the keys and values given in the dictionary key_info: + { 'key' : [possible values] }, if key_info is None, the dictionary used to initialize the class will be used + + Returns a list of dictionaries such that: + [ + {'key1' : val1-1, 'key2', val2-1 ... }, + {'key1' : val1-2, 'key2', val2-1 ... }, + ... + ] + """ + if key_info is None: + key_info = self.key_info + if len(key_info) < n: + return [] + + if single_key: + single_options = key_info[single_key] + key_info = {single_key : single_options} + + key_combinations = itertools.combinations(key_info, n) + all_combinations = [] + for keys in key_combinations: + list_of_items = [ key_info[key] for key in keys ] + # list_of_items is a list of possible values: [ (val1-1, val1-2, val1-3...), (val2-1, val2-2...) ... ] + items_combinations = itertools.product( *list_of_items ) + for values in items_combinations: + nd = dict(zip(keys, values)) + all_combinations.append(nd) + + return all_combinations + + def study_combination(self, dataframe, combination): + """ + Given a dataframe and a dictionary of {key1 : value1, key2: value2} + returns a dictionary with a number of stats for that combination + """ + df_slice = self.get_slice(dataframe, combination) + # If the combination does not applies (i.e., NaN) just skip it + md = self.__process_slice(df_slice) + md['slice'] = df_slice + md['combination'] = combination + return md + + def __sort_to_survive(self, info_dict, how_many_to_save): + """ + Receives a list of dictionaries with an entry called reward, returns the + 'n' best + """ + sorted_by_reward = sorted(info_dict, key = lambda i: i['reward']) + sorted_by_reward.reverse() + # Everyone with perfect reward is saved + save_list = [] + for i in sorted_by_reward: + if how_many_to_save == 0: + break + if i['reward'] == self.perfect_reward: + save_list.append(i) + else: + save_list.append(i) + how_many_to_save -= 1 + return save_list + + def __sort_to_kill(self, info_dict, by_key = False, how_many_to_kill = None): + """ + Receives a list of dictionaries with an entry called reward, returns the + 'n' worst ones. + If by key is True, returns the 'n' worst for each set of keys + """ + if how_many_to_kill is None: + how_many_to_kill = self.how_many_to_kill + if by_key: + list_by_key = {} + for md in info_dict: + keys = md['keys'] + if keys in list_by_key.keys(): + list_by_key[keys].append(md) + else: + list_by_key[keys] = [md] + hit_list = [] + for _, items in list_by_key.items(): + hit_list += self.__sort_to_kill(items) + else: + sorted_by_reward = sorted(info_dict, key = lambda i: i['reward']) + hit_list = sorted_by_reward[:how_many_to_kill] + return hit_list + + def remove_failing(self, dataframe, n_combinations = 1, key = None, fail_threshold = None, verbose = True): + """ + Remove entries with failing reward from the dataframe + """ + if fail_threshold is None: + set_fail_threshold = self.failing_reward + elif fail_threshold == 'median': + set_fail_threshold = 100 + else: + set_fail_threshold = fail_threshold + combinations = self.get_combinations(n_combinations, single_key = key) + hit_list = [] + all_combinations = [] + + for combination in combinations: + md = self.study_combination(dataframe, combination) + if md['skip']: + continue + reward = md['reward'] + if fail_threshold == 'median': + all_combinations.append(md) + elif reward <= set_fail_threshold: + hit_list.append(md) + + if fail_threshold == 'median': + sorted_by_reward = sorted(all_combinations, key = lambda i: i['reward']) + # do like thanos + half = int(len(sorted_by_reward)/2) + hit_list = sorted_by_reward[:half] + + new_dataframe = self.__dataframe_killer(dataframe, hit_list) + if verbose: + for i in hit_list: + print("Eliminated {0} with reward: {1}".format(i['combination'], i['reward'])) + return new_dataframe + + def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, key = None, verbose = False, kill_threshold = None): + """ + It starts killing the entry with the worst reward and won't stop until all remaining entries + for the given number of combinations, have a positive reward + """ + if kill_threshold is None: + set_kill_threshold = self.threshold_reward + elif kill_threshold is "median": + set_kill_threshold = 100 # ensures that someone dies here + else: + set_kill_threshold = kill_threshold + + # 1 - Get combinations + combinations = self.get_combinations(n_combinations, single_key = key) + # 2 - Run through all possible combinations and kill the weakest one + worst_reward = 1e5 + victim = None + all_combinations = [] + for combination in combinations: + md = self.study_combination(dataframe, combination) + if md['skip']: + continue + all_combinations.append(md) + reward = md['reward'] + if reward < worst_reward and reward <= set_kill_threshold: + victim = md + worst_reward = reward + if verbose: + all_combinations.sort( key = lambda i: i['reward'] ) + for i in all_combinations: + print("{0}, {1}".format(i['reward'], i['combination'])) + + if kill_threshold == "median": # Set the median which will be necessary for the rest of the iterations + rewards = [i['reward'] for i in all_combinations] + kill_threshold = np.median(rewards) + print(" > > Killing everything with reward below {0}".format(kill_threshold)) + + if victim is None: + # If there are no points below the reward threshold, go out and return the remaining dataframe + return dataframe + + # 3 - Kill the victim(s) + new_dataframe = self.__dataframe_killer(dataframe, [victim]) + self.__verbose_elimination(victim) + + # 4 - Keep on murdering + return self.check_wrapper_weaklings_killer(new_dataframe, n_combinations, key = key, kill_threshold = kill_threshold) + + def check_wrapper(self, dataframe, n_combinations, kill = False, save_n_best = None): + """ + Input a dataframe and the number of possible combinations and prints out nice statistics + """ + + def get_str(comb, md): + key_strs = ["{0}={1}".format(key, item) for key,item in comb.items()] + comb_str = ", ".join(key_strs) + f_rate = md['f_rate'] + reward = md['reward'] + n_trials = md['n_total'] + failure_str = "Fail: {0:2.3f}% Reward: {2:0.3f} ({1:3d} trials)".format(f_rate, n_trials, reward) + return comb_str, failure_str, f_rate + + self.__print("\n > Check combinations of {0} keys".format(n_combinations)) + + # 1 - Get all possible combinations of the keys + combinations = self.get_combinations(n_combinations) + lines_to_print = [] + siz = 0 + # 2 - Now run for all possible combinations and parse the information + hit_list = [] + info_dict = [] + for combination in combinations: + md = self.study_combination(dataframe, combination) + if md['skip']: + continue + reward = md['reward'] + ntotal = md['n_total'] + if reward <= self.threshold_reward: + # Don't bother with this point, kill it later + hit_list.append(md) + else: + md['keys'] = tuple(sorted((combination.keys()))) + info_dict.append(md) + comb_str, fail_str, f_rate = get_str(combination, md) + if len(comb_str) > siz: + siz = len(comb_str) + lines_to_print.append( (comb_str, fail_str, reward) ) + + # 3 - If kill == true, remove the slices in the hit list + if kill: + # 3.1 - Sort the items by reward and get the 'how_many_to_kill' with the smallest reward + hit_list += self.__sort_to_kill(info_dict, by_key = self.remove_by_key) + print("Removing the worst combinations:") + new_dataframe = self.__dataframe_killer(dataframe, hit_list) + else: + new_dataframe = dataframe + + # 4 - If save_n_best, do the opposite + if save_n_best: + survivors_list = self.__sort_to_survive(info_dict, save_n_best) + # Everyone with a 100.0 reward must survive + indices_to_get = None + for survivor in survivors_list: + if indices_to_get is not None: + indices_to_get = indices_to_get.append(survivor['slice'].index) + else: + indices_to_get = survivor['slice'].index + indices_to_get = indices_to_get.drop_duplicates() + new_dataframe = dataframe.ix[indices_to_get] + + # 5 - Now print all lines, making sure the align nicely + print("\n") + lines_to_print.sort( key = lambda x: x[-1] ) + # If saving only the best X, print only those + if save_n_best: + lines_to_print = lines_to_print[-save_n_best:] + base_line = "{0:" + str(siz) + "s} {1}" + for line in lines_to_print: + self.__print( base_line.format( line[0], line[1] ) ) + + return new_dataframe diff --git a/n3fit/HyperScanner.py b/n3fit/HyperScanner.py new file mode 100644 index 0000000000..55ec565afa --- /dev/null +++ b/n3fit/HyperScanner.py @@ -0,0 +1,210 @@ +import hyperopt as hyper +import numpy as np +import pdb + +from backends import MetaModel, MetaLayer + +class HyperScanner: + """ + The HyperScanner generates a dictionary of parameters for scanning + It takes cares of known correlation between parameters by tying them together + It also provides methods for updating the parameter dictionaries after using hyperopt + + It manages: + stopping + optimizer + positivity + + NN architecture (WIP) + """ + + def __init__(self, parameters): + """ + Takes as input a dictionary of parameters + and saves it + """ + self.parameters = parameters + self.keys = parameters.keys() + self.hyper_keys = set([]) + self.dict_keys = set([]) + + def dict(self): + return self.parameters + + def update_dict(self, newdict): + self.parameters.update(newdict) + # Since some hyperparameters were made in the form of dictionaries, we need to "sviluppare" them + for key in self.dict_keys: + if key in newdict.keys(): + value = newdict[key] + # But this might be a conditional thing and not all of the possible options be dictionaries + if isinstance(value, dict): + self.update_dict(value) + + def _update_param(self, key, value, hyperopt = True, dkeys = []): + if key not in self.keys: + raise Exception("Trying to update a parameter that was not declared in the dictionary: {0}. HyperScanner @ _update_param".format(key)) + if hyperopt: + self.hyper_keys.add(key) + print("Adding the key {0} with the following value: {1}".format(key, value)) + # Add possible extra keys + [self.dict_keys.add(nk) for nk in dkeys] + self.parameters[key] = value + + # Calling the functions below turn parameters of the dictionary into hyperparameter scans + def stopping(self, min_epochs = 5e3, max_epochs = 30e3, min_patience = 0.10, max_patience = 0.3): + """ + Modifies the following entries of the parameter dictionary: + - epochs + - stopping_patience + """ + epochs_key = 'epochs' + stopping_key = 'stopping_patience' + + epoch_step = (max_epochs - min_epochs)/4 + if min_epochs < epoch_step: + epoch_step = min_epochs + + + epochs = hyper.hp.quniform(epochs_key, min_epochs, max_epochs, min_epochs) + stopping_patience = hyper.hp.quniform(stopping_key, min_patience, max_patience, 0.05) + + self._update_param(epochs_key, epochs) + self._update_param(stopping_key, stopping_patience) + + def optimizer(self, names = ['RMSprop'], min_lr = 0.0005, max_lr = 0.5): + # But this might be a conditional thing and not all of the possible options be dictionaries + """ + This function look at the optimizers implemented in MetaModel and adds the learning rate to (only) + those who use it. The special keyword "ALL" will make it use all optimizers implemented + - optimizer + - learning rate + """ + opt_key = 'optimizer' + lr_key = 'learning_rate' + + optimizer_dict = MetaModel.optimizers + choices = [] + + min_lr_exp = np.log(min_lr) + max_lr_exp = np.log(max_lr) + lr_choice = hyper.hp.loguniform(lr_key, min_lr_exp, max_lr_exp) + + if names == 'ALL': + names = optimizer_dict.keys() + + for opt_name in names: + if opt_name not in optimizer_dict.keys(): + # Do we want an early crash or just drop the optimizer silently? We'll see... + raise Exception("HyperScanner: Optimizer {0} not implemented in MetaModel.py".format(opt_name)) + + args = optimizer_dict[opt_name][1] + if 'lr' in args.keys(): + choices.append( { + opt_key: opt_name, + lr_key: lr_choice, + } ) + else: + choices.append(opt_name) + + opt_val = hyper.hp.choice(opt_key, choices) + # Tell the HyperScanner this key might contain a dictionary to store it separately + self._update_param(opt_key, opt_val, dkeys = [opt_key]) + + def positivity(self, min_multiplier = 1.01, max_multiplier = 1.3, min_initial=0.5, max_initial=100): + """ + Modifies + - pos_multiplier + - pos_initial + """ + mul_key = 'pos_multiplier' + if not min_initial and not max_initial: + ini_key = None + else: + ini_key = 'pos_initial' + + mul_val = hyper.hp.uniform(mul_key, min_multiplier, max_multiplier) + self._update_param(mul_key, mul_val) + + if ini_key: + min_initial = np.log(min_initial) + max_initial = np.log(max_initial) + ini_val = hyper.hp.loguniform(ini_key, min_initial, max_initial) + self._update_param(ini_key, ini_val) + + def NN_architecture(self, n_layers = [1, 2, 5], max_units = 50, min_units = 5, activations = ['sigmoid', 'tanh'], initializers = ['glorot_normal'], + layer_types = ['dense'], max_drop = 0.0): + """ + Uses all the given information to generate the parameters for the NN + - nodes_per_layer + - activation_per_layer + - initializer + - layer_type + - dropout + """ + # Do we want to fix or generate dinamically the units? for now let's fix + # there will be time for more sofisticated functions + + act_key = 'activation_per_layer' + nodes_key = 'nodes_per_layer' # the information contained in the variable is indeed the number of nodes per layer e.g. [5,10,30] + # but the information the user will be interested in is how many layers are there... + + # Generate the possible activation choices + act_choices = [] + for afun in activations: + # Just generate an array with as many copies of the str as the maximum number of layers + cop = [afun]*n_layers[-1] + # And append a linear at the end + cop.append('linear') + act_choices.append(cop) + + + nodes_choices = [] + for n in n_layers: + units = [] + for i in range(n): + # We can even play games as lowering the maximum as the number of layers grows + units_label = 'nl{1}:-{0}/{1}'.format(i, n) + units.append(hyper.hp.quniform(units_label, min_units, max_units, 5)) + + # And then the last one is a dense with 8 units + units.append(8) + nodes_choices.append(units) + + act_functions = hyper.hp.choice(act_key, act_choices) + nodes = hyper.hp.choice(nodes_key, nodes_choices) + + + # Now let's select the initializers looking at the ones implemented in MetaLayer + ini_key = 'initializer' + imp_inits = MetaLayer.initializers + imp_init_names = imp_inits.keys() + if initializers == 'ALL': + initializers = imp_init_names + + ini_choices = [] + for ini_name in initializers: + if ini_name not in imp_init_names: + # Do we want an early crash or just drop the optimizer silently? We'll see... + raise Exception("HyperScanner: Initializer {0} not implemented in MetaLayer.py".format(ini_name)) + # For now we are going to use always all initializers and with default values + ini_choices.append(ini_name) + + ini_choice = hyper.hp.choice(ini_key, ini_choices) + + # Finally select the layer types + if layer_types: + layer_key = 'layer_type' + layer_choices = hyper.hp.choice(layer_key, layer_types) + self._update_param(layer_key, layer_choices) + + # And add the dropout parameter + drop_key = 'dropout' + n_drops = 3 + drop_step = max_drop/n_drops + drop_val = hyper.hp.quniform(drop_key, 0.0, max_drop, drop_step) + + self._update_param(act_key, act_functions) + self._update_param(nodes_key, nodes) + self._update_param(ini_key, ini_choice) + self._update_param(drop_key, drop_val) diff --git a/n3fit/ModelTrainer.py b/n3fit/ModelTrainer.py new file mode 100644 index 0000000000..f33e8c48a8 --- /dev/null +++ b/n3fit/ModelTrainer.py @@ -0,0 +1,529 @@ +""" + ModelTrainer Class: + + This class provides a wrapper around the fitting code and the generation of the Neural Network + When the "hyperparametizable"* function is called with a dictionary of parameters, it generates a NN + and subsequentially performs a fit. + + The motivation behind this class is to minimise the amount of redundant calls of each hyperopt run, + in particular this allows to completely reset the NN at the beginning of each iteration reusing some + of the previous work. + + *called in this way because it accept a dictionary of parameters which defines the Neural Network +""" +from backends import MetaModel, clear_backend_state +import model_gen +import constrains +import statistics +from pdb import set_trace + +# If an experiment matches this name, it will not be included int he training +TESTNAME = 'TEST' +# Weights for the hyperopt cost function +test_multiplier = 0.5 +validation_multiplier = 0.5 + +class ModelTrainer: + def __init__(self, exp_info, pos_info, flavinfo, nnseed, + pass_status = 'ok', failed_status = 'fail', + log = None, debug = False): + """ + - exp_info: list of dictionaries containing experiments + - pos_info: list of dictionaries containing positivity sets + - flavinfo: the object returned by fitting['basis'] + - nnseed: the seed used to initialise the Neural Network, will be passed to model_gen + - log: if given, printing will be done to log.info + - debug: flag to activate some debug options + """ + + # Save all input information + self.exp_info = exp_info + self.pos_info = pos_info + self.flavinfo = flavinfo + self.NNseed = nnseed + self.pass_status = pass_status + self.failed_status = failed_status + self.debug = debug + + # Initialise internal variables which define behaviour + self.print_summary = True + self.mode_hyperopt = False + self.model_file = None + self.impose_sumrule = True + + # Set the log_info function + if log: + self.log_info = log.info + else: + self.log_info = print + self.log = log + + # Initialize the pdf layer + self.layer_pdf = None + + # Initialize the dictionaries which contain all fitting information + self.input_list = [] + self.ndata_dict = {} + self.training = { + 'output' : [], + 'expdata' : [], + 'losses' : [], + 'ndata': 0, + 'model' : None, + 'posdatasets' : [] + } + self.validation = { + 'output' : [], + 'expdata' : [], + 'losses' : [], + 'ndata': 0, + 'model' : None, + } + self.experimental = { + 'output' : [], + 'expdata' : [], + 'losses' : [], + 'ndata': 0, + 'model' : None, + } + + self.test_dict = None + self._fill_the_dictionaries() + + if self.validation['ndata'] == 0: + self.no_validation = True + new_dict = {} + for key, item in self.ndata_dict.items(): + if key.endswith("_vl"): continue + new_dict[key + "_vl"] = item + self.ndata_dict.update(new_dict) + self.validation['expdata'] = self.training['expdata'] + else: + self.no_validation = False + + def set_model_file(self, model_file): + """ If a model_file is set the training model will try to get the weights form here """ + self.model_file = model_file + + def set_hyperopt(self, on, keys = []): + """ Set hyperopt options on and off (mostly suppresses some printing) """ + self.hyperkeys = keys + if on: + self.print_summary = False + self.mode_hyperopt = True + else: + self.print_summary = True + self.mode_hyperopt = False + + + ########################################################################## + # # Internal functions + # Never to be called from the dark and cold outside world + ########################################################################## + def _fill_the_dictionaries(self): + """ + This function fills the following dictionaries with fixed information, + - training: data for the fit + - validation: data which for the stopping + - experimental: 'true' data, only used for reporting purposes + - ndata_dict: a dictionary containing 'name of experiment' : Number Of Point + + the fixed information (i.e., non dependant on the parameters of the fit) is: + - experimental data (expdata) + - names of the experiment (name) + - number of experimental points (ndata) + """ + for exp_dict in self.exp_info: + if exp_dict['name'] == TESTNAME: + self.test_dict = { + 'output' : [], + 'expdata' : exp_dict['expdata_true'], + 'losses' : [], + 'ndata' : exp_dict['ndata'] + exp_dict['ndata_vl'], + 'model' : None, + } + continue + self.training['expdata'].append(exp_dict['expdata']) + self.validation['expdata'].append(exp_dict['expdata_vl']) + self.experimental['expdata'].append(exp_dict['expdata_true']) + + nd_tr = exp_dict['ndata'] + nd_vl = exp_dict['ndata_vl'] + + self.ndata_dict[exp_dict['name']] = nd_tr + self.ndata_dict[exp_dict['name'] + "_vl"] = nd_vl + + self.training['ndata'] += nd_tr + self.validation['ndata'] += nd_vl + self.experimental['ndata'] += nd_tr + nd_vl + + for pos_dict in self.pos_info: + self.training['expdata'].append( pos_dict['expdata'] ) + self.ndata_dict[pos_dict['name']] = pos_dict['ndata'] + self.training['posdatasets'].append(pos_dict['name']) + + self.ndata_dict['total_tr'] = self.training['ndata'] + self.ndata_dict['total_vl'] = self.validation['ndata'] + self.ndata_dict['total'] = self.experimental['ndata'] + + def _model_generation(self): + """ + Fills the three dictionaries with the 'model' entry + Note: before entering this function the dictionaries contain a list of inputs + and a list of outputs, but they are not connected. + This function connects inputs with outputs by injecting the PDF + + Compiles the validation and experimental models with fakes optimizers and learning rate + as they are never trained, but this is needed by some backends in order to run evaluate on them + """ + self.log_info("Generating the Model") + + input_list = self.input_list + # Create the training, validation and true (data w/o replica) models: + tr_model = MetaModel(input_list, self._pdf_injection(self.training['output'])) + vl_model = MetaModel(input_list, self._pdf_injection(self.validation['output'])) + true_model = MetaModel(input_list, self._pdf_injection(self.experimental['output'])) + + if self.model_file: + # If a model file is given, load the weights from there + # note: even though the load corresponds to the training model only, the layer_pdf is shared + # and so it should affect all models + tr_model.load_weights(self.model_file) + + if self.print_summary: + tr_model.summary() + + fake_opt = 'RMSprop' + fake_lr = 0.01 + # Compile true and validation with fake lr/optimizer + vl_model.compile( optimizer_name = fake_opt, learning_rate = fake_lr, loss = self.validation['losses']) + true_model.compile( optimizer_name = fake_opt, learning_rate = fake_lr, loss = self.experimental['losses'] ) + + if self.test_dict: + # If a test_dict was given, create and compile also the test model + test_model = MetaModel(input_list, self._pdf_injection(self.test_dict['output'])) + test_model.compile( optimizer_name = fake_opt, learning_rate = fake_lr, loss = self.test_dict['losses'] ) + self.test_dict['model'] = test_model + + self.training['model'] = tr_model + self.validation['model'] = vl_model + self.experimental['model'] = true_model + + + def _reset_observables(self): + """ + Resets the 'output' and 'losses' entries of all 3 dictionaries, + as well as the input_list + this is necessary as these can either depend on the parametrization of the NN + or be obliterated when the backend state is reset + """ + self.input_list = [] + for key in ['output', 'losses']: + self.training[key] = [] + self.validation[key] = [] + self.experimental[key] = [] + if self.test_dict: self.test_dict[key] = [] + + def _pdf_injection(self, olist): + """ + Takes as input a list of output layers and returns a corresponding list + where all output layers call the pdf layer at self.pdf_layer + """ + return [o(self.layer_pdf) for o in olist] + + + ########################################################################### + # # Parametizable functions + # + # The functions defined in this block accept a 'params' dictionary which + # defines the fit and the behaviours of the Neural Networks + # + # These are all called by the function hyperparamizable below + # i.e., the most important function is hyperparametizable, which is a + # wrapper around all of these + ########################################################################### + def _generate_observables(self, params): + """ + This functions fills the 3 dictionaries (training, validation, experimental) + with the output layers and the loss functions + It also fill the list of input tensors (input_list) + + Parameters accepted: + - pos_multiplier: the multiplier to be applied to the positivity + - pos_initial: the initial value for the positivity + """ + + # First reset the dictionaries + self._reset_observables() + self.log_info("Generating layers") + + # two parameters are used here which might go to the hyperopt + pos_multiplier = params['pos_multiplier'] # how much to increase the positivity penalty each 100 epochs + pos_initial = params['pos_initial'] + + # Now we need to loop over all dictionaries (First exp_info, then pos_info) + for exp_dict in self.exp_info: + if not self.mode_hyperopt: + self.log_info("Generating layers for experiment {0}".format(exp_dict['name'])) + + exp_layer = model_gen.observable_generator(exp_dict) + + # Save the input(s) corresponding to this experiment + self.input_list += exp_layer['inputs'] + + if exp_dict['name'] == TESTNAME and self.test_dict: + # If this is the test set, fill the dictionary and stop here + self.test_dict['output'].append( exp_layer['output'] ) + self.test_dict['losses'].append( exp_layer['loss'] ) + continue + + # Now save the observable layer, the losses and the experimental data + self.training['output'].append( exp_layer['output_tr'] ) + self.validation['output'].append( exp_layer['output_vl'] ) + self.experimental['output'].append( exp_layer['output'] ) + + self.training['losses'].append( exp_layer['loss_tr'] ) + self.validation['losses'].append( exp_layer['loss_vl'] ) + self.experimental['losses'].append( exp_layer['loss'] ) + + # Finally generate the positivity penalty + for pos_dict in self.pos_info: + if not self.mode_hyperopt: + self.log_info("Generating positivity penalty for {0}".format(pos_dict['name'])) + pos_layer = model_gen.observable_generator(pos_dict, + positivity_initial = pos_initial, positivity_multiplier = pos_multiplier + ) + # The input list is still common + self.input_list += pos_layer['inputs'] + + # The positivity all falls to the training + self.training['output'].append( pos_layer['output_tr'] ) + self.training['losses'].append( pos_layer['loss_tr'] ) + # Save the positivity multiplier into the training dictionary as it will be used during training + self.training['pos_multiplier'] = pos_multiplier + + # If there is no validation, overwrite the values of validation with the values of training +# if self.no_validation: +# self.validation['losses'] = self.training['losses'] +# self.validation['output'] = self.training['output'] + + + def _generate_pdf(self, params): + """ + Defines the internal variable layer_pdf + this layer takes any input (x) and returns the pdf value for that x + + if the sumrule is being imposed, it also updates input_list with the + integrator_input tensor used to calculate the sumrule + + Returns: (layers, integrator_input) + layers: a list of layers + integrator_input: input used to compute the sumrule + both are being used at the moment for reporting purposes at the end of the fit + + Parameters accepted: + - nodes_per_layer + - activation_per_layer + - initializer + - layer_type + - dropout + """ + self.log_info("Generating PDF layer") + + # Set the parameters of the NN + nodes_per_layer = params['nodes_per_layer'] + activation_per_layer = params['activation_per_layer'] + initializer = params['initializer'] + layer_type = params['layer_type'] + dropout = params['dropout'] + + # Generate the NN layers + layer_pdf, layers = model_gen.pdfNN_layer_generator( + nodes = nodes_per_layer, activations = activation_per_layer, layer_type = layer_type, + flav_info = self.flavinfo, seed = self.NNseed, initializer_name = initializer, dropout = dropout + ) + + integrator_input = None + if self.impose_sumrule: + # Impose the sumrule + # Inyect here momentum sum rule, effecively modifying layer_pdf + layer_pdf, integrator_input = constrains.msr_impose(layers['fitbasis'], layer_pdf) + self.input_list.append(integrator_input) + + self.layer_pdf = layer_pdf + + return layers, integrator_input + + def _model_compilation(self, params): + """ + Compiles the model with the data given in params + + Parameters accepted: + - learning_rate + - optimizer + """ + training_model = self.training['model'] + loss_list = self.training['losses'] + + # Before compilation, set all parameters as given in the params dictionary + learning_rate = params['learning_rate'] + # Choose the optimizer, compile the net and print summary + opt_name = params['optimizer'] + + training_model.compile( + optimizer_name = opt_name, learning_rate = learning_rate, loss = loss_list + ) + + + def _train_and_fit(self, validation_object, epochs): + """ + Trains the NN for the number of epochs given using + validation_object as the stopping criteria + + Every 100 epochs the positivitiy will be updated with + self.training['pos_multiplier'] + """ + training_model = self.training['model'] + exp_list = self.training['expdata'] + pos_multiplier = self.training['pos_multiplier'] + # Train the model for the number of epochs given + for epoch in range(epochs): + out = training_model.fit( + x = None, y = exp_list, epochs = 1, verbose=False, shuffle=False + ) + passes = validation_object.monitor_chi2(out, epoch) + + if validation_object.stop_here(): + break + + if (epoch+1)%100 == 0: + for pos_ds in self.training['posdatasets']: + name = pos_ds + curr_w = training_model.get_layer(name).get_weights() + new_w = [curr_w[0]*pos_multiplier] + training_model.get_layer(name).set_weights(new_w) + + # Report a "good" training only if there was no NaNs and there was at least a point which passed positivity + if passes and validation_object.positivity: + return self.pass_status + else: + return self.failed_status + + def _hyperopt_override(self, params): + # I love the smell of napalm in the morning + for key in self.hyperkeys: + item = params[key] + if isinstance(item, dict): + for key, value in item.items(): + params[key] = value + + def hyperparametizable(self, params): + """ + Wrapper around all the functions defining the fit + + This is a necessary step for hyperopt to work + + Parameters used here: + - epochs: maximum number of iterations for the fit to run + - stopping_patience: patience of the stopper after finding a new minimum + """ + + # Reset the internal state of the backend + print("") + clear_backend_state(self.debug) + + # When doing hyperopt some entries in the params dictionary can bring with them overriding arguments + if self.mode_hyperopt: + self.log_info("Performing hyperparameter scan") + for key in self.hyperkeys: + self.log_info(" > > Testing {0} = {1}".format(key, params[key])) + self._hyperopt_override(params) + + # Fill the 3 dictionaries (training, validation, experimental) with the layers and losses + self._generate_observables(params) + + # Generate the pdf layer + layers, integrator_input = self._generate_pdf(params) + + # Model generation + self._model_generation() + + # Generate the validation_object + # this object golds statistical information about the fit and it can be used to perform stopping + epochs = int(params['epochs']) + stopping_patience = params['stopping_patience'] + stopping_epochs = epochs*stopping_patience + + # If the tr/vl splitting is == 1, there will be no points in the validation so we should use the training as the splitting + if self.no_validation: + validation_object = statistics.Stat_Info(self.training['model'], self.training['expdata'], self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs) + else: + validation_object = statistics.Stat_Info(self.validation['model'], self.validation['expdata'], self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs) + + # Compile the training['model'] with the given parameters + self._model_compilation(params) + + + ### Training loop + passed = self._train_and_fit(validation_object, epochs) + + # After training has completed, reload the best_model found during training + validation_object.reload_model() + + # Compute validation loss + validation_loss = validation_object.loss() + + # Compute experimental loss + exp_final = self.experimental['model'].evaluate( x = None, y = self.experimental['expdata'], batch_size = 1 ) + try: + experimental_loss = exp_final[0] / self.experimental['ndata'] + except IndexError: + experimental_loss = exp_final / self.experimental['ndata'] + + # Compute the testing loss if it was given + if self.test_dict: + # Generate the 'true' chi2 with the experimental model but only for models that were stopped + target_model = self.test_dict['model'] + target_data = self.test_dict['expdata'] + out_final = target_model.evaluate( x = None, y = target_data, verbose = False, batch_size = 1) + try: + testing_loss = out_final[0] / self.test_dict['ndata'] + except IndexError: + testing_loss = out_final / self.test_dict['ndata'] + else: + testing_loss = 0.0 + + if self.mode_hyperopt: + final_loss = validation_multiplier*validation_loss + final_loss += test_multiplier*testing_loss + final_loss /= (test_multiplier + validation_multiplier) + arc_lengths = constrains.compute_arclength(layers['fitbasis'], verbose = False) + else: + final_loss = experimental_loss + arc_lengths = None + + dict_out = { + 'loss' : final_loss, + 'status' : passed, + 'arc_lengths' : arc_lengths, + 'training_loss' : validation_object.tr_loss(), + 'validation_loss' : validation_loss, + 'experimental_loss' : experimental_loss, + 'testing_loss' : testing_loss, + } + + if self.mode_hyperopt: + # If we are using hyperopt we don't need to output any other information + return dict_out + + # Add to the output dictionary things that are needed by fit.py + # to generate the output pdf, check the arc-length, gather stats, etc + # some of them are already attributes of the class so they are redundant here + # but I think it's good to present them explicitly + dict_out['layer_pdf'] = self.layer_pdf + dict_out['layers'] = layers + dict_out['integrator_input'] = integrator_input + dict_out['validation_object'] = validation_object + dict_out['training'] = self.training + + return dict_out diff --git a/n3fit/backends/__init__.py b/n3fit/backends/__init__.py new file mode 100644 index 0000000000..08e5a27605 --- /dev/null +++ b/n3fit/backends/__init__.py @@ -0,0 +1,10 @@ +print("Using Keras backend") + +from backends.keras_backend.debug_mode import set_initial_state, clear_backend_state +from backends.keras_backend.MetaLayer import MetaLayer +from backends.keras_backend.MetaModel import MetaModel +from backends.keras_backend.base_layers import concatenate, Lambda, base_layer_selector +from backends.keras_backend import losses +from backends.keras_backend import operations + + diff --git a/n3fit/backends/keras_backend/MetaLayer.py b/n3fit/backends/keras_backend/MetaLayer.py new file mode 100644 index 0000000000..2b166b7729 --- /dev/null +++ b/n3fit/backends/keras_backend/MetaLayer.py @@ -0,0 +1,170 @@ +""" + The class MetaLayer is an extension of the backend Layer class + with a number of methods and helpers to facilitate writing new custom layers + in such a way that the new custom layer don't need to rely in anything backend-dependent + + In other words, if you want to implement a new layer and need functions not included in this + MetaLayer it is better to add a new method which is just a call to the relevant backend-dependent function + For instance: np_to_tensor is just a call to K.constant +""" + + +from keras import backend as K + +from keras.engine.topology import Layer + +from keras.initializers import Constant, RandomUniform, glorot_normal, glorot_uniform + +from keras.constraints import MinMaxNorm + +from keras.layers import Input + +import numpy as np + + +class MetaLayer(Layer): + """ + This metalayer function must contain all backend-dependent functions + """ + + # Define in this dictionary new initializers as well as the arguments they accept (with default values if needed be) + initializers = { + 'random_uniform' : (RandomUniform, {'minval':-0.5, 'maxval':0.5}), + 'glorot_uniform' : (glorot_uniform, {}), + 'glorot_normal' : (glorot_normal, {}), + } + + # Building function + def builder_helper(self, name, kernel_shape, initializer, trainable = True, constraint = None): + """ + Creates a kernel that should be saved as an attribute of the caller class + name: name of the kernel + shape: tuple with its shape + initializer: one of the initializers from this class (actually, any keras initializer) + trainable: if it is + constraint: one of the constraints from this class (actually, any keras constraints) + """ + kernel = self.add_weight( + name = name, + shape = kernel_shape, + initializer = initializer, + trainable = trainable, + constraint = constraint, + ) + return kernel + + def build(self, input_shape): + super (MetaLayer, self).build(input_shape) + + # Implemented initializers + @staticmethod + def init_constant(value): + return Constant(value = value) + + @staticmethod + def select_initializer(ini_name, seed = None, **kwargs): + """ + Selects one of the initializers (which does initialize, i.e., not constant) + All of them should accept seed + """ + try: + ini_tuple = MetaLayer.initializers[ini_name] + except KeyError: + raise Exception(f'[MetaLayer.select_initializer] Optimizer not found {ini_name}') + + ini_class = ini_tuple[0] + ini_args = ini_tuple[1] + ini_args['seed'] = seed + + for key, value in kwargs.items(): + if key in ini_args.keys(): + ini_args[key] = value + return ini_class( **ini_args ) + + + # Implemented constraint + def constraint_MinMaxWeight(self, min_value, max_value): + """ Small override to the MinMaxNorm Keras class to not look at the + absolute value + This version looks at the sum instead of at the norm + """ + class MinMaxWeight(MinMaxNorm): + def __init__(self, **kwargs): + super(MinMaxWeight, self).__init__(**kwargs) + + def __call__(self, w): + norms = K.sum(w, axis=self.axis, keepdims=True) + desired = (self.rate * K.clip(norms, self.min_value, self.max_value) + + (1 - self.rate) * norms) + w *= (desired / (K.epsilon() + norms)) + return w + return MinMaxWeight(min_value = min_value, max_value = max_value) + + # Make numpy array into a tensor + def np_to_tensor(self, np_array, **kwargs): + """ + Given a numpy array, returns a constant tensor + """ + return K.constant(np_array, **kwargs) + + # Common tensor operations + def tensor_ones(self, shape, **kwargs): + """ + Generates a tensor of ones of the given shape + """ + return K.ones( shape, **kwargs) + + def many_replication(self, grid, replications, axis = 0, **kwargs): + """ + Generates a tensor with one extra dimension which is a repetition of "grid" n times along the given axis + frm keras documentation: If x has shape (s1, s2, s3) and axis is 1, the output will have shape (s1, s2 * rep, s3) + """ + return K.repeat_elements(grid, rep = replications, axis = axis, **kwargs) + + def sum(self, tensor, axis = None, **kwargs): + """ + Computes the sum of the elements of the tensor + """ + return K.sum(tensor, axis = axis, **kwargs) + + def tensor_product(self, tensor_x, tensor_y, axes, **kwargs): + """ + Computes the tensordot product between tensor_x and tensor_y + """ + return K.tf.tensordot(tensor_x, tensor_y, axes = axes, **kwargs) + + def transpose(self, tensor, **kwargs): + """ + Transpose a tensor + """ + return K.transpose(tensor, **kwargs) + + def boolean_mask(self, tensor, mask, axis = None, **kwargs): + """ + Applies boolean mask to a tensor + """ + return K.tf.boolean_mask(tensor, mask, axis = axis, **kwargs) + + def concatenate(self, tensor_list, axis = -1, target_shape = None): + """ + Concatenates a list of numbers or tenosr into a bigger tensor + + If the target shape is given, the output is reshaped to said shape + """ + concatenated_tensor = K.concatenate(tensor_list, axis = axis) + if target_shape: + return K.reshape( concatenated_tensor, target_shape ) + else: + return concatenated_tensor + + def permute_dimensions(self, tensor, permutation, **kwargs): + """ + Receives a tensor and a tuple and permutes the axes of the tensor according to it. + i.e. + if permutation = (1,0,2) + does the permutation: axis_0 -> axis_1, axis_1 -> axis_0, axis_2 -> axis_2 + """ + return K.permute_dimensions( tensor, permutation , **kwargs) + + + diff --git a/n3fit/backends/keras_backend/MetaModel.py b/n3fit/backends/keras_backend/MetaModel.py new file mode 100644 index 0000000000..5b40a3756a --- /dev/null +++ b/n3fit/backends/keras_backend/MetaModel.py @@ -0,0 +1,103 @@ +""" + MetaModel class + + Extension of the backend Model class containing some wrappers in order to absorb other + backend-dependent calls +""" +from keras.models import Model +from keras.layers import Input +import keras.optimizers as Kopt +import keras.backend as K +import numpy as np + + +class MetaModel(Model): + """ + The goal of this class is to absorb all keras dependent code + """ + + # Define in this dictionary new optimizers as well as the arguments they accept (with default values if needed be) + optimizers = { + 'RMSprop' : ( + Kopt.RMSprop, {'lr': 0.01} + ), + 'Adam' : ( + Kopt.Adam, {'lr' : 0.01} + ), + 'Adagrad' : ( + Kopt.Adagrad, {} ), + 'Adadelta' : ( + Kopt.Adadelta, {} ), + 'Adamax' : ( + Kopt.Adamax, {} ), + 'Nadam' : ( + Kopt.Nadam, {} ), + 'Amsgrad' : ( + Kopt.Adam, {'lr' : 0.01, 'amsgrad' : True } + ), + } + + def __init__(self, input_tensors, output_tensors, extra_tensors = None): + """ + This class behaves as keras.models.Model with some add-ons: + + if extra_tensors are given, they should come in the combination + (input: np.array, output_layer: function) so that they can be fed to keras as output_layer(*input) + + This function will turn all inputs into keras tensors + """ + input_list = input_tensors + output_list = output_tensors + + if not isinstance(input_list, list): + input_list = [input_list] + if not isinstance(output_list, list): + output_list = [output_list] + + # Add extra tensors + if extra_tensors is not None: + for ii, oo in extra_tensors: + inputs = [] + if isinstance(ii, list): + for i in ii: + inputs.append( self._np_to_input(i) ) + else: + inputs = [ self._np_to_input(ii) ] + o_tensor = oo(*inputs) + input_list += inputs + output_list.append(o_tensor) + + super (MetaModel, self).__init__( input_list, output_list ) + + def _np_to_input(self, x): + """ + If x is a numpy array, make it into a numpy tensor + """ + if isinstance(x, np.ndarray): + tensor = K.constant(x) + return Input( tensor = tensor ) + else: + return x + + def compile(self, optimizer_name = 'RMSprop', learning_rate = 0.05, loss = None): + """ + Compile the model given: + - Optimizer + - Learning Rate + - List of loss functions + """ + try: + opt_tuple = self.optimizers[optimizer_name] + except KeyError: + raise Exception(f'[MetaModel.compile] Optimizer not found {optimizer_name}') + + opt_function = opt_tuple[0] + opt_args = opt_tuple[1] + + if 'lr' in opt_args.keys(): + opt_args['lr'] = learning_rate + + opt_args['clipnorm'] = 1.0 + opt = opt_function(**opt_args) + + super (MetaModel, self).compile(optimizer = opt, loss = loss) diff --git a/n3fit/backends/keras_backend/__init__.py b/n3fit/backends/keras_backend/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/n3fit/backends/keras_backend/base_layers.py b/n3fit/backends/keras_backend/base_layers.py new file mode 100644 index 0000000000..0855747432 --- /dev/null +++ b/n3fit/backends/keras_backend/base_layers.py @@ -0,0 +1,62 @@ +""" + For a layer to be used by n3fit it should be contained in the layers dictionary below + This dictionary has the following structure: + + 'name of the layer' : ( Layer_class, {dictionary of arguments: defaults} ) +""" + +from keras.layers import Dense, concatenate, Lambda, LSTM, Dropout +from keras.backend import expand_dims + + +def LSTM_modified(**kwargs): + """ + LSTM asks for a sample X timestep X features kind of thing so we need to reshape the input + """ + + the_lstm = LSTM(**kwargs) + ExpandDim = Lambda( + lambda x: expand_dims(x, axis = -1) + ) + def ReshapedLSTM(input_tensor): + if len(input_tensor.shape) == 2: + reshaped = ExpandDim(input_tensor) + return the_lstm(reshaped) + else: + return the_lstm(input_tensor) + return ReshapedLSTM + + +layers = { + 'dense' : (Dense, { + 'input_shape' : (1,), + 'kernel_initializer' : 'glorot_normal', + 'units' : 5, + 'activation' : 'sigmoid', + }), + 'LSTM' : (LSTM_modified, { + 'kernel_initializer' : 'glorot_normal', + 'units' : 5, + 'activation' : 'sigmoid', + }), + 'dropout' : (Dropout, { + 'rate' : 0.0, + }), + } + + + +def base_layer_selector(layer_name, **kwargs): + try: + layer_tuple = layers[layer_name] + except KeyError: + raise Exception("Layer not implemented in keras_backend/base_layers.py: {0}".format(layer_name)) + + layer_class = layer_tuple[0] + layer_args = layer_tuple[1] + + for key, value in kwargs.items(): + if key in layer_args.keys(): + layer_args[key] = value + + return layer_class( **layer_args ) diff --git a/n3fit/backends/keras_backend/debug_mode.py b/n3fit/backends/keras_backend/debug_mode.py new file mode 100644 index 0000000000..193e28628e --- /dev/null +++ b/n3fit/backends/keras_backend/debug_mode.py @@ -0,0 +1,38 @@ +def set_initial_state(debug = False, seed = 13): + """ + Setting the initial state for debugging can be very tricky + This is the only way of getting reproducible results for keras-tensorflow + Note that this function needs to be called before _any_ tensorflow related stuff is called + + At the moment this is only enabled for debugging as forces the use of only one thread + """ + if not debug: + return 0 + + import numpy as np + import random as rn + + np.random.seed(seed) + use_seed = np.random.randint(0, pow(2,31)) + rn.seed(use_seed) + + from keras import backend as K + session_conf = K.tf.ConfigProto(intra_op_parallelism_threads=1, + inter_op_parallelism_threads=1) + K.tf.set_random_seed(use_seed) + sess = K.tf.Session(graph=K.tf.get_default_graph(), config=session_conf) + K.set_session(sess) + + return 0 + +def clear_backend_state(debug): + if not debug: + print("Clearing session") + from keras import backend as K + K.clear_session() + # Don't open threads that you are not going to eat + session_conf = K.tf.ConfigProto(intra_op_parallelism_threads=2, + inter_op_parallelism_threads=8) + sess = K.tf.Session(graph=K.tf.get_default_graph(), config=session_conf) + K.set_session(sess) + diff --git a/n3fit/backends/keras_backend/losses.py b/n3fit/backends/keras_backend/losses.py new file mode 100644 index 0000000000..ea4c0b710b --- /dev/null +++ b/n3fit/backends/keras_backend/losses.py @@ -0,0 +1,24 @@ +import keras.backend as K + +def l_invcovmat(invcovmat_np): + """ + Returns a loss function such that: + L = \sum_{ij} (yt - yp)_{i} invcovmat_{ij} (yt - yp)_{j} + """ + invcovmat = K.constant(invcovmat_np) + def true_loss(y_true, y_pred): + # (yt - yp) * covmat * (yt - yp) + tmp = (y_true - y_pred) + right_dot = K.tf.tensordot(invcovmat, K.transpose(tmp), axes = 1) + return K.tf.tensordot(tmp, right_dot, axes = 1) + return true_loss + +def l_positivity(alpha = 1e-7): + """ + Returns L = elu(y_pred) (considers y_true as 0) + """ + def true_loss(y_true, y_pred): + y = -y_pred + loss = K.elu(y, alpha = alpha) + return K.sum(loss) + return true_loss diff --git a/n3fit/backends/keras_backend/operations.py b/n3fit/backends/keras_backend/operations.py new file mode 100644 index 0000000000..accd0fc9be --- /dev/null +++ b/n3fit/backends/keras_backend/operations.py @@ -0,0 +1,111 @@ +from keras.layers import add as keras_add +from keras.layers import subtract as keras_subtract +from keras.layers import Lambda as keras_Lambda +from keras.layers import multiply as keras_multiply + +from keras.layers import Input +from keras.models import Model +from keras import backend as K + +def numpy_to_input(numpy_array): + return Input( tensor = K.constant(numpy_array)) + +# All operations must accept as an input a list or tuple of keras layers +# with the same output shape +# and return a keras operation with, again, the same output shape + +def c_to_py_fun(op_name, name, default = 'ADD'): + """ + Map between the NNPDF operations and the operations defined in this file + Any new backend must implement such a mapping + """ # TODO: shouldn't this be outside of the backend folder then + # surely... + d = { + 'NULL' : op_null, + 'ADD' : op_add, + 'RATIO' : op_ratio, + 'ASY' : op_asy, + 'SMN' : op_smn, + } + if op_name not in d.keys(): + print("Operation name not recognised, defaulting to {0}".format(default)) + return d[default] + + def operation_fun(o_list): + return d[op_name]( o_list, name = name ) + + return operation_fun + +def op_multiply(o_list, **kwargs): + """ + Receives a list of layers of the same output size and multiply them element-wise + """ + return keras_multiply(o_list, **kwargs) + +def op_multiply_dim(o_list, **kwargs): + """ + Bypass in order to multiply two layers with different output dimension + for instance: (10000 x 14) * (14) + as the normal keras multiply don't accept it (but somewhow it does accept it doing it like this) + """ + if len(o_list) != 2: + raise Exception("The number of observables is incorrect, operations.py:op_multiply_dim") + create_operation = keras_Lambda(lambda inputs: inputs[0] * inputs[1]) + return create_operation(o_list) + +def op_null(o_list, **kwargs): + """ + Not a compound object, do nothing + """ + return o_list[0] + +def op_add(o_list, **kwargs): + """ + Sum a list of layers with the same output dim + """ + return keras_add(o_list, **kwargs) + +def op_subtract(o_list, **kwargs): + """ + Subtract all observables + """ + return keras_subtract(o_list) + +def op_log(o_tensor, **kwargs): + """ + Computes the logarithm of the input + """ + return K.log(o_tensor) + + +def op_ratio(o_list, **kwargs): + """ + Take the ratio of two observables + """ + if len(o_list) != 2: + raise Exception("The number of observables is incorrect, operations.py:op_ratio") + + division_layer = keras_Lambda(lambda inputs: inputs[0] / inputs[1], **kwargs) + return division_layer(o_list) + +def op_asy(o_list, **kwargs): + """ + Perform the asymmetry operation on two observables + """ + if len(o_list) != 2: + raise Exception("The number of observables is incorrect, operations.py:op_asy") + + subtraction = keras_subtract(o_list) + addition = op_add(o_list) + return op_ratio( [subtraction, addition], **kwargs ) + +def op_smn(o_list, **kwargs): + """ + Normalised sum + """ + if len(o_list) != 4: + raise Exception("The number of observables is incorrect, operations.py:op_smn") + numer = op_add( o_list[:2] ) + denom = op_add( o_list[2:] ) + return op_ratio( [numer, denom], **kwargs ) + diff --git a/n3fit/constrains.py b/n3fit/constrains.py new file mode 100644 index 0000000000..dac4895b31 --- /dev/null +++ b/n3fit/constrains.py @@ -0,0 +1,158 @@ +""" + Functions to imposem the Momentum sum rule on the PDFs +""" +import numpy as np +import pdb + +from layers import xDivide, MSR_Normalization, xIntegrator, xMultiply +from backends import operations +from backends import MetaModel + +def gen_integration_input(nx): + """ + Generates a np.array (shaped (nx,1)) of nx elements where the + nx/2 first elements are a logspace between 0 and 0.1 + and the rest a linspace from 0.1 to 0 + """ + lognx = int(nx/2) + linnx = int(nx - lognx) + xgrid_log = np.logspace(-9,-1, lognx + 1) + xgrid_lin = np.linspace(0.1,1, linnx) + xgrid = np.concatenate([xgrid_log[:-1], xgrid_lin]).reshape(nx, 1) + + spacing = [0.0] + for i in range(1,nx): + spacing.append( np.abs(xgrid[i-1]-xgrid[i]) ) + spacing.append(0.0) + + weights = [] + for i in range(nx): + weights.append( (spacing[i]+spacing[i+1])/2.0 ) + weights_array = np.array(weights).reshape(nx, 1) + + return xgrid, weights_array + + +def msr_impose(fit_layer, final_pdf_layer, verbose = False): + """ + This function receives: + - pdf_fit: the 8-basis layer of PDF which we fit + - final_layer: the 14-basis which is fed to the fktable + It uses pdf_fit to compute the sum rule and returns a modified version of the final_pdf layer + with a normalisation by which the sum rule is imposed + """ + + # 1. Generate the fake input which will be used to integrate + nx = int(2e3) + xgrid, weights_array = gen_integration_input(nx) + + # 2. Prepare the pdf for integration + # for that we need to multiply several flavours with 1/x + division_by_x = xDivide(size = nx) + def pdf_integrand(x): + res = operations.op_multiply([ + division_by_x(x), fit_layer(x) + ]) + return res + + # 3. Now create the integration layer (the layer that will simply integrate, given some weight + integrator = xIntegrator(weights_array, input_shape = (nx,)) + + # 4. Now create the normalization by selecting the right integrations + normalizer = MSR_Normalization(input_shape = (8,)) + + # 5. Make the xgrid numpy array into a backend input layer so it can be given + xgrid_input = operations.numpy_to_input(xgrid) + normalization = normalizer( + integrator( + pdf_integrand(xgrid_input) + ) + ) + + def ultimate_pdf(x): + return operations.op_multiply_dim( [final_pdf_layer(x), normalization] ) + + if verbose: + only_int = integrator(pdf_integrand(xgrid_input)) + modelito = MetaModel(xgrid_input, only_int) + result = modelito.predict(x = None, steps = 1) + + print(" > > Generating model for the inyection layer which imposes MSR") + check_integration(ultimate_pdf, xgrid_input) + + # Save a reference to xgrid in ultimate_pdf, very useful for debugging + ultimate_pdf.ref_xgrid = xgrid_input + + return ultimate_pdf, xgrid_input + +def check_integration(ultimate_pdf, integration_input, verbose = False): + nx = int(1e4) + xgrid, weights_array = gen_integration_input(nx) + xgrid_input = operations.numpy_to_input( xgrid ) + + multiplier = xDivide(size = nx, output_dim = 14, div_list = range(3,9)) + def pdf_integrand(x): + res = operations.op_multiply([ + multiplier(x), ultimate_pdf(x) + ]) + return res + + modelito = MetaModel( [xgrid_input, integration_input], pdf_integrand(xgrid_input) ) + if verbose: + modelito.summary() + result = modelito.predict(x = None, steps = 1) + + result_weighted = result*weights_array + result_integrated = np.sum(result_weighted, axis = 0) + + msr = result_integrated[1] + result_integrated[2] + v = result_integrated[3] + v3 = result_integrated[4] + v8 = result_integrated[5] + print(""" + > > > Int from 0 to 1 of: + x*g(x) + x*sigma(x) = {0} + v = {1} + v3 = {2} + v8 = {3}""".format(msr, v, v3, v8)) + +def compute_arclength(fitbasis_layer, verbose = False): + """ + Given the layer with the fit basis computes the arc length + """ + nx = int(1e6) + xgrid, weights_array = gen_integration_input(nx) + multiplier = xMultiply(size = nx) + xgrid_input = operations.numpy_to_input(xgrid) + eps = xgrid[0] / 2.0 + xgrid_input_prime = operations.numpy_to_input(xgrid - eps) + + def integrand(xgrid_input, xgrid_input_prime): + f1 = fitbasis_layer(xgrid_input) + f2 = fitbasis_layer(xgrid_input_prime) + pdfprime = operations.op_subtract([f2, f1]) + + res = operations.op_multiply([ + multiplier(xgrid_input), pdfprime + ]) + return res + + modelito = MetaModel( [xgrid_input, xgrid_input_prime], integrand(xgrid_input, xgrid_input_prime) ) + derivatives = modelito.predict(x = None, steps = 1)/eps + derivatives_sq = pow(derivatives, 2) + f_of_x = np.sqrt(1.0 + derivatives_sq) + arc_lengths = np.sum( f_of_x * weights_array, axis = 0) + + if verbose: + print(""" + > > > Arc length: + sigma = {0} + g = {1} + v = {2} + v3 = {3} + v8 = {4}""".format(*arc_lengths[:5])) + + return arc_lengths + + + diff --git a/n3fit/create_testset.py b/n3fit/create_testset.py new file mode 100644 index 0000000000..1f1147104b --- /dev/null +++ b/n3fit/create_testset.py @@ -0,0 +1,106 @@ +import numpy as np +import os + +from reportengine.compat import yaml + +def test_runcard(runcard_file, datasets_out): + """ + Given a runcard and a set of datasets, generate a TEST-runcard where the datasets in datasets_out are removed + from the training and put together as a new experiment called TEST + """ + # Load the input runcard as a dictionary + f = open(runcard_file, 'r') + runcard_dict = yaml.safe_load(f) + runcard_exp = runcard_dict['experiments'] + f.close() + + # Generate the list of datasets which are to be left out + data_tests = [] + for dataset in datasets_out: + data_tests.append( + {'dataset' : dataset, 'frac' : 1.0} # TODO copy the dictionary from the runcard instead + ) + + # Create a test experiment + from ModelTrainer import TESTNAME + test_experiment = { + 'experiment' : TESTNAME, + 'datasets' : data_tests + } + + # Now drop experiments and datasets that are being used for training + for experiment in runcard_exp: + datasets = list(filter(lambda x: x['dataset'] not in datasets_out, experiment['datasets'])) + if datasets: + experiment['datasets'] = datasets + else: + runcard_exp.remove(experiment) + + # Generate the new runcard + # TODO: maybe there is a proper report-enginy way of doing this + runcard_exp.append(test_experiment) + new_runcard = "TEST-{0}".format(os.path.basename(runcard_file)) + no = open(new_runcard, 'w') + yaml.round_trip_dump(runcard_dict, no, explicit_start=True, explicit_end=True, + default_flow_style=True) + no.close() + + print("\n > You can find your new runcard at {0}/{1}\n".format(os.getcwd(), new_runcard)) + +def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml"): + """ + This function gets the list of experiment and goes through the datasets + reading their experiment type and range in x + Depending on these, chooses the ones to leave out for testing + """ + + # 1) Read all datasets in the runcard and classify them by type + dataset_by_proc = {} + all_experiments = {} + for exp in experiments: + all_experiments[str(exp)] = len(exp.datasets) + for dataset in exp.datasets: + data_c = dataset.load() + proc_type = data_c.GetProc(0) + fktable = data_c.GetFK(0) + xgrid = fktable.get_xgrid() + xmin = np.min(xgrid) + xmax = np.max(xgrid) + data_dict = { + 'name' : str(dataset), + 'xmin' : xmin, + 'xmax' : xmax, + 'exp' : str(exp), + } + if proc_type in dataset_by_proc.keys(): + dataset_by_proc[proc_type].append(data_dict) + else: + dataset_by_proc[proc_type] = [data_dict] + + select_min = False # If true selects the datasets with the smallest min(x), recommended: False + + # 2) Now for every process type with more than one dataset, leave out the smallest + datasets_out = [] + for proc_type, datasets in dataset_by_proc.items(): + l = len(datasets) + if l != 1: + xmin = 1.0 + xmax = 0.0 + for dataset in datasets: + xm = dataset['xmin'] + if select_min: + if xm < xmin: + xmin = xmin + data_out = dataset + else: + if xm > xmax: + xmax = xm + data_out = dataset + print("For {0} we find {1} datasets, leaving one out: {2}".format(proc_type, l, data_out)) + datasets_out.append(data_out['name']) + all_experiments[dataset['exp']] -= 1 + + if len(datasets_out) == 0: + print("No redundant datasets were found") + else: + test_runcard(runcard_file, datasets_out) diff --git a/n3fit/evolven3fit/evolven3fit.cc b/n3fit/evolven3fit/evolven3fit.cc new file mode 100644 index 0000000000..3b4503022a --- /dev/null +++ b/n3fit/evolven3fit/evolven3fit.cc @@ -0,0 +1,106 @@ +// $Id$ +// +// NNPDF++ 2016 +// +// Authors: Nathan Hartland, n.p.hartland@ed.ac.uk +// Stefano Carrazza, stefano.carrazza@mi.infn.it + +#include +#include +#include "common.h" +#include "nnpdfsettings.h" +#include "exportgrid.h" +#include "evolgrid.h" +#include +using namespace NNPDF; +using std::cout; +using std::endl; +using std::cerr; +using std::string; +using std::stoi; + +// Check if folder exists +bool CheckConsistency(string const& folder, string const& exportfile) +{ + bool status1 = false, status2 = false; + struct stat s, t; + if (stat(folder.c_str(), &s) == 0) + if (s.st_mode & S_IFDIR) + status1 = true; + if (stat(exportfile.c_str(), &t) == 0) + if (t.st_mode) + status2 = true; + if (status1 == true && status2 == true) return true; + else return false; +} + +/** + * This program: + * - takes as input a fit folder and a theoryID, + * - loads a vector of ExportGrid for all replicas generated by nnfit, + * - computes the DGLAP evolution operators for the theoryID + * - applies the evolution operators to the ExportGrid objects + * - outputs the evolved PDFs in the LHAPDF format to the fit folder. + */ +int main(int argc, char **argv) +{ + // Read configuration filename from arguments + if (argc != 3) + { + cerr << Colour::FG_RED << "\nusage: evolven3fit [configuration folder] [max_replicas]\n" << Colour::FG_DEFAULT << endl; + exit(EXIT_FAILURE); + } + + const string fit_path = argv[1]; + const int maxreplica = stoi(argv[2]); + + // load settings from config folder + NNPDFSettings settings(fit_path); + const int theory_id = settings.Get("theory","theoryid").as(); + + // load theory from db + std::map theory_map; + NNPDF::IndexDB db(get_data_path() + "/theory.db", "theoryIndex"); + db.ExtractMap(theory_id, APFEL::kValues, theory_map); + + // load grids + vector initialscale_grids; + vector replicas; + for (int nrep = 1; nrep <= maxreplica; nrep++) + { + const string folder = fit_path + "/nnfit/replica_" + std::to_string(nrep); + const string path = folder + "/" + settings.GetPDFName() + ".exportgrid"; + bool status = CheckConsistency(folder, path); + if (status) + { + initialscale_grids.emplace_back(path); + replicas.push_back(nrep); + } + else + { + cout << "Skipping exportgrid (missing file): " << path << endl; + } + } + + if (initialscale_grids.size() == 0) + throw NNPDF::RuntimeException("main", "nrep = 0, check replica folder/files."); + + string infofile = fit_path + "/nnfit/" + settings.GetPDFName() + ".info"; + auto dglapg = EvolveGrid(initialscale_grids, theory_map); + dglapg.WriteInfoFile(infofile); + + const auto outstream = dglapg.WriteLHAFile(); + for (size_t i = 0; i < outstream.size(); i++) + { + stringstream replica_file; + replica_file << fit_path + << "/nnfit/replica_" + << replicas[i] + << "/" + << settings.GetPDFName() + << ".dat"; + write_to_file(replica_file.str(), outstream[i].str()); + } + + return 0; +} diff --git a/n3fit/evolven3fit/makefile b/n3fit/evolven3fit/makefile new file mode 100644 index 0000000000..32cd35e92f --- /dev/null +++ b/n3fit/evolven3fit/makefile @@ -0,0 +1,19 @@ +## Simple and stupid makefile + +NNPDFSRC=../../ +INCLUDES=`pkg-config nnpdf --cflags` `pkg-config gsl --cflags` `apfel-config --cxxflags` `pkg-config yaml-cpp --cflags` +LIBS=`pkg-config nnpdf --libs` `pkg-config gsl --libs` `apfel-config --ldflags` `pkg-config yaml-cpp --libs` + +all: evolven3fit + +evolven3fit: evolven3fit.cc + $(CXX) -I./ -I$(NNPDFSRC)/nnpdfcpp/src/nnfit/inc \ + $(INCLUDES) -I$(NNPDFSRC)/nnpdfcpp/src/common/inc \ + $(NNPDFSRC)/nnpdfcpp/src/common/src/nnpdfsettings.cc \ + $(NNPDFSRC)/nnpdfcpp/src/common/src/md5.cc \ + $(NNPDFSRC)/nnpdfcpp/src/common/src/exportgrid.cc \ + $(NNPDFSRC)/nnpdfcpp/src/nnfit/src/evolgrid.cc \ + $< -o $@ $(LIBS) + +clean: + rm -rf evolven3fit diff --git a/n3fit/evolven3fit/version.h b/n3fit/evolven3fit/version.h new file mode 100644 index 0000000000..f84864988a --- /dev/null +++ b/n3fit/evolven3fit/version.h @@ -0,0 +1 @@ +#define SVN_REV 3.1 diff --git a/n3fit/filetrials.py b/n3fit/filetrials.py new file mode 100644 index 0000000000..eb8002fe6f --- /dev/null +++ b/n3fit/filetrials.py @@ -0,0 +1,54 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" + Custom hyperopt trial object for persistent file storage +""" +import json +from hyperopt import Trials, base, space_eval + +def space_eval_trial(space, trial): + for_eval = {} + for k, v in trial["misc"]["vals"].items(): + if len(v) == 0: + for_eval[k] = None + else: + for_eval[k] = v[0] + return space_eval(space, for_eval) + + +class FileTrials(Trials): + """ + Stores trial results on the fly. + """ + def __init__(self, replica_path, log=None, parameters=None, exp_key=None, refresh=True): + self._store_trial = False + self._json_file = "{0}/tries.json".format(replica_path) + self._parameters = parameters + if log: + self.log_info = log.info + else: + self.log_info = print + super(FileTrials, self).__init__(exp_key=exp_key, refresh=refresh) + + def refresh(self): + super(FileTrials, self).refresh() + + # write json to disk + if self._store_trial: + self.log_info(f'Storing scan in {self._json_file}') + local_trials = [] + for idx, t in enumerate(self._dynamic_trials): + local_trials.append(t) + local_trials[idx]['misc']['space_vals'] = space_eval_trial(self._parameters, t) + + all_to_str = json.dumps(local_trials, default=str) + with open(self._json_file, 'w') as f: + f.write(all_to_str) + + def new_trial_ids(self, N): + self._store_trial = False + return super(FileTrials, self).new_trial_ids(N) + + def new_trial_docs(self, tids, specs, results, miscs): + self._store_trial = True + return super(FileTrials, self).new_trial_docs(tids, specs, results, miscs) diff --git a/n3fit/fit.py b/n3fit/fit.py new file mode 100644 index 0000000000..ce02169567 --- /dev/null +++ b/n3fit/fit.py @@ -0,0 +1,256 @@ +""" + Fit action controller +""" + +# Backend-independent imports +import numpy as np +import sys +import logging +import os.path +from pdb import set_trace + +log = logging.getLogger(__name__) + +# Action to be called by validphys +def fit( fitting, # All information defining the NN should come here in the "parameters" dict + experiments, t0set, replica, replica_path, output_path, + theoryid, posdatasets, hyperscan = None, + hyperopt = None, debug = False, + create_test_card = None): + + # Call the script to generate a runcard with a test-set and immediately exit + if create_test_card: + from create_testset import create_testset + create_testset(experiments, runcard_file = create_test_card) + return 0 + ############### + + if debug: + # If debug is active, fix the initial state this should make the run reproducible + # (important to avoid non-deterministic multithread or hidden states) + from backends import set_initial_state + set_initial_state(debug = debug) + ############### + + # All potentially backend dependent imports should come inside the fit function + # so they can eventually be set from the runcard + from ModelTrainer import ModelTrainer + from writer import storefit + from backends import MetaModel + import reader + import constrains + if hyperopt: + import hyperopt as hyper + import filetrials + status_ok = hyper.STATUS_OK + else: + status_ok = "ok" + + # Loading t0set from LHAPDF + if t0set is not None: + t0pdfset = t0set.load_t0() + + # First set the seed variables for + # - Tr/Vl split + # - Neural Network initialization + # - Replica generation + # These depend both on the seed set in the runcard and the replica number + trvalseeds = [] + nnseeds = [] + mcseeds = [] + for replica_number in replica: + np.random.seed(fitting.get('trvlseed')) + for i in range(replica_number): + trvalseed = np.random.randint(0, pow(2,31)) + + np.random.seed(fitting.get('nnseed')) + for i in range(replica_number): + nnseed = np.random.randint(0, pow(2,31)) + + np.random.seed(fitting.get('mcseed')) + for i in range(replica_number): + mcseed = np.random.randint(0, pow(2,31)) + trvalseeds.append(trvalseed) + nnseeds.append(nnseed) + mcseeds.append(mcseed) + + if fitting.get('genrep') == 0: + mcseeds = [] + + ############################################################################## + # ### Read files + # Loop over all the experiment and positivity datasets + # and save them into two list of dictionaries: exp_info and pos_info + # later on we will loop over these two lists and generate the actual layers + # i.e., at this point there is no information about the NN + # we are just creating dictionaries with all the necessary information + # (experimental data, covariance matrix, replicas, etc, tr/val split) + ############################################################################## + all_exp_infos = [ [] for _ in replica ] + # First loop over the experiments + for exp in experiments: + log.info("Loading experiment: {0}".format(exp)) + all_exp_dicts = reader.common_data_reader(exp, t0pdfset, replica_seeds = mcseeds, trval_seeds = trvalseeds) + for i, exp_dict in enumerate(all_exp_dicts): + all_exp_infos[i].append(exp_dict) + + # Now read all the positivity datasets + pos_info = [] + for pos_set in posdatasets: + log.info("Loading positivity dataset {0}".format(pos_set)) + pos_dict = reader.positivity_reader(pos_set) + pos_info.append(pos_dict) + + # Note: In the basic scenario we are only running for one replica and thus this loop is only + # run once and all_exp_infos is a list of just than one element + for replica_number, exp_info, nnseed in zip(replica, all_exp_infos, nnseeds): + replica_path_set = replica_path / 'replica_{0}'.format(replica_number) + log.info("Starting replica fit {0}".format(replica_number)) + + # Generate a ModelTrainer object + # this object holds all necessary information to train a PDF (still no information about the NN) + the_model_trainer = ModelTrainer( + exp_info, pos_info, + fitting['basis'], nnseed, + pass_status = status_ok, + log = log, debug = debug) + + # Check whether we want to load weights from a file (maybe from a previous run) + # check whether the file exists, otherwise set it to none + # reading the data up will be done by the model_trainer + if fitting.get('load'): + model_file = fitting.get('loadfile') + log.info(" > Loading the weights from previous training from {0}".format(model_file)) + if not os.path.isfile(model_file): + log.warning(" > Model file {0} could not be found".format(model_file)) + model_file = None + else: + the_model_trainer.set_model_file(model_file) + + # This is just to give a descriptive name to the fit function + pdf_gen_and_train_function = the_model_trainer.hyperparametizable + + # Read up the parameters of the NN from the runcard + parameters = fitting.get('parameters') + + ####################################################################### + # ### Hyperopt + # If hyperopt is active the parameters of NN will be substituted by the + # hyoperoptimizable variables. + # Hyperopt will run for --hyperopt number of iterations before leaving + # this block + ####################################################################### + if hyperopt: + from HyperScanner import HyperScanner + + the_scanner = HyperScanner(parameters) + + stopping_options = hyperscan.get('stopping') + positivity_options = hyperscan.get('positivity') + optimizer_options = hyperscan.get('optimizer') + architecture_options = hyperscan.get('architecture') + + # Enable scanner for certain parameters + the_scanner.stopping( **stopping_options ) + the_scanner.positivity( **positivity_options ) + the_scanner.optimizer( **optimizer_options ) + # Enable scanner for specific architectures + the_scanner.NN_architecture( **architecture_options ) + + # Tell the trainer we are doing hyperopt + the_model_trainer.set_hyperopt(on = True, keys = the_scanner.hyper_keys) + + # Generate Trials object + trials = filetrials.FileTrials(replica_path_set, log=log, parameters=parameters) + + # Perform the scan + try: + best = hyper.fmin( + fn = pdf_gen_and_train_function, + space = the_scanner.dict(), + algo = hyper.tpe.suggest, + max_evals = hyperopt, + trials=trials + ) + except ValueError as e: + print("Error from hyperopt because no best model was found") + print("@fit.py, setting the best trial to empty dict") + print("Exception: {0}".format(e)) + sys.exit(0) + + # Now update the parameters with the ones found by the scan + true_best = hyper.space_eval(parameters, best) + the_scanner.update_dict(true_best) + params = the_scanner.dict() + print("##################") + print("Best model found: ") + for k, i in true_best.items(): + print(" {0} : {1} ".format(k,i)) + ####################################################################### end of hyperopt + + # Ensure hyperopt is off + the_model_trainer.set_hyperopt(on = False) + + ########################################################################### + # ### Fit + # This function performs the actual fit, it reads all the parameters in the + # "parameters" dictionary, uses them to generate the NN and trains the net + ########################################################################### + result = pdf_gen_and_train_function(parameters) + + # After the fit is run we get a 'result' dictionary with the following items: + validation_object = result['validation_object'] + layer_pdf = result['layer_pdf'] + layers = result['layers'] + integrator_input = result['integrator_input'] + true_chi2 = result['loss'] + training = result['training'] + log.info("Total exp chi2: {0}".format(true_chi2)) + + # Where has the stopping point happened (this is only for debugging purposes) + print(""" + > > The stopping point has been at: {0} with a loss of {1} + which it got at {2}. Stopping degree {3} + Positivity state: {4} + """.format( + validation_object.epoch_of_the_stop, + validation_object.loss(), + validation_object.e_best_chi2, + validation_object.stopping_degree, + validation_object.positivity_pass() + )) + + + # Compute the arclengths + arc_lengths = constrains.compute_arclength(layers['fitbasis'], verbose = True) + # Construct the chi2exp file + allchi2_lines = validation_object.chi2exps_str() + # Construct the preproc file + preproc_lines = validation_object.preproc_str() + + # Creates a PDF model for export grid + def pdf_function(export_xgrid): + """ + Receives an array, returns the result of the PDF for said array + """ + modelito = MetaModel( [integrator_input], [], extra_tensors = [(export_xgrid, layer_pdf)] ) + result = modelito.predict(x = None, steps = 1) + return result + # export PDF grid to file + storefit(pdf_function, replica_number, replica_path_set, output_path.stem, theoryid.get_description().get('Q0')**2, + validation_object.epoch_of_the_stop, + validation_object.loss(), validation_object.tr_loss(), true_chi2, arc_lengths, allchi2_lines, preproc_lines, validation_object.positivity_pass()) + + + # Save the weights to some file + if fitting.get('save'): + model_file = fitting.get('savefile') + log.info(" > Saving the weights for future in {0}".format(model_file)) + training['model'].save_weights(model_file) + + # Plot the validation and the training losses + if fitting.get('plot'): + validation_object.plot() + + # print out the integration of the sum rule in case we want to check it's not broken + # constrains.check_integration(layer_pdf, integrator_input) diff --git a/n3fit/layers/DIS.py b/n3fit/layers/DIS.py new file mode 100644 index 0000000000..263dc8a701 --- /dev/null +++ b/n3fit/layers/DIS.py @@ -0,0 +1,20 @@ +from layers.Observable import Observable +import numpy as np + +class DIS(Observable): + def gen_basis(self, basis): + if basis is not None: + self.basis = np.zeros(self.nfl, dtype = bool) + for i in basis: + self.basis[i] = True + else: + self.basis = np.ones(self.nfl, dtype = bool) + + def call(self, pdf_in): + + pdf_masked = self.boolean_mask(pdf_in, self.basis, axis = 1) + + pdfT = self.transpose(pdf_masked) + + result = self.tensor_product(self.fktable, pdfT, axes = 2) + return result diff --git a/n3fit/layers/DY.py b/n3fit/layers/DY.py new file mode 100644 index 0000000000..8ea53f5ee2 --- /dev/null +++ b/n3fit/layers/DY.py @@ -0,0 +1,39 @@ +from layers.Observable import Observable +import numpy as np + + +class DY(Observable): + def gen_basis(self, basis): + basis_to_pairs = basis.reshape(-1,2) + self.basis = basis_to_pairs + self.basis_size = len(self.basis) + + def call(self, pdf_in): + # This is a convoluted way of applying a mask, but it is faster + # mask-version below + lumi_fun = [] + pdfT = self.transpose(pdf_in) + + for i,j in self.basis: + lumi_fun.append( self.tensor_product(pdfT[i], pdfT[j], axes = 0) ) + + pdfXpdf = self.concatenate( lumi_fun, axis = 0, target_shape = (self.basis_size, self.xgrid_size, self.xgrid_size) ) + + result = self.tensor_product(self.fktable, pdfXpdf, axes = 3) + return result + +class DY_mask(Observable): + def gen_basis(self, basis): + if basis is not None: + self.basis = np.zeros((self.nfl, self.nfl), dtype = bool) + for i,j in basis.reshape(-1,2): + self.basis[i,j] = True + else: + self.basis = np.ones((self.nfl, self.nfl), dtype = bool) + + def call(self, x_raw): + lfun = self.tensor_product(x_raw, x_raw, axes = 0) + lfunT = self.permute_dimensions(lfun, (3,1,2,0)) + x = self.boolean_mask(lfunT, self.basis, axis = 0) + result = self.tensor_product(self.fktable, x, axes = 3) + return result diff --git a/n3fit/layers/Integration.py b/n3fit/layers/Integration.py new file mode 100644 index 0000000000..b1fae2e1c4 --- /dev/null +++ b/n3fit/layers/Integration.py @@ -0,0 +1,106 @@ +from backends import MetaLayer + +class xDivide(MetaLayer): + """ + Divide the pdf by x + By default: dimension = 8 dividing the entries corresponding to v, v3, v8 + """ + + def __init__(self, output_dim = 8, div_list = [2,3,4], size = 1000, **kwargs): + self.output_dim = output_dim + self.div_list = div_list + self.one = self.tensor_ones( (size, 1) ) + super(MetaLayer, self).__init__(**kwargs) + + def compute_output_shape(self, input_shape): + return (input_shape[0], self.output_dim) + + def call(self, x): + out_array = [] + for i in range(self.output_dim): + if i in self.div_list: + res = self.one/x + else: + res = self.one + out_array.append(res) + out_tensor = self.concatenate(out_array, axis = 1) + return out_tensor + +class xMultiply(MetaLayer): + """ + Multiply the pdf by x + By default: dimension = 8 multiply all entries but v, v3, v8 + """ + + def __init__(self, output_dim = 8, div_list = [2,3,4], size = 1000, **kwargs): + self.output_dim = output_dim + self.div_list = div_list + self.one = self.tensor_ones( (size, 1) ) + super(MetaLayer, self).__init__(**kwargs) + + def compute_output_shape(self, input_shape): + return (input_shape[0], self.output_dim) + + def call(self, x): + out_array = [] + for i in range(self.output_dim): + if i in self.div_list: + res = self.one + else: + res = self.one*x + out_array.append(res) + out_tensor = self.concatenate(out_array, axis = 1) + return out_tensor + +class xIntegrator(MetaLayer): + """ + This layer performs a sum of the input layer/tensor on the first axis + """ + def __init__(self, grid_weights, output_dim = 8, **kwargs): + grid_weights_tensor = self.np_to_tensor(grid_weights) + # Open up the grid weights + self.grid_weights = self.many_replication(grid_weights_tensor, replications = 8, axis = 1) + self.output_dim = output_dim + super(MetaLayer, self).__init__(**kwargs) + + def compute_output_shape(self, input_shape): + return (self.output_dim, ) + + def call(self, x): + xx = x*self.grid_weights + return self.sum(xx, axis = 0) + + +class MSR_Normalization(MetaLayer): + """ + Applies the normalisation so that the PDF output fullfills the sum rules + """ + def __init__(self, output_dim = 14, **kwargs): + self.output_dim = output_dim + self.one = self.tensor_ones( (1, 1) ) + self.three = 3*self.tensor_ones( (1, 1) ) + super(MSR_Normalization, self).__init__(**kwargs, name = "normalizer") + + def compute_output_shape(self, input_shape): + return (self.output_dim, ) + + + def call(self, integrated): + x = integrated + pdf_sr = self.concatenate([ + self.one, # photon + self.one, # sigma + (self.one - x[0])/x[1], # g + self.three/x[2], # v + self.one/x[3], # v3 + self.three/x[4], # v8 + self.three/x[2], # v15 + self.three/x[2], # v24 + self.three/x[2], # v35 + self.one, # t3 + self.one, # t8 + self.one, # t15 (c-) + self.one, # t24 + self.one, # t35 + ]) + return pdf_sr diff --git a/n3fit/layers/Mask.py b/n3fit/layers/Mask.py new file mode 100644 index 0000000000..06d624ee6e --- /dev/null +++ b/n3fit/layers/Mask.py @@ -0,0 +1,25 @@ +import numpy as np +from backends import MetaLayer + +class Mask(MetaLayer): + """ + Mask is a layer used to apply both a boolean mask and a multiplier + """ + def __init__(self, bool_mask, c = 1.0, **kwargs): + self.output_dim = np.count_nonzero(bool_mask) + self.mask = bool_mask + self.c = c + super(MetaLayer, self).__init__(**kwargs) + + def build(self, input_shape): + initializer = MetaLayer.init_constant(value = self.c) + self.kernel = self.builder_helper("mask", (1,), initializer, trainable = False) + super(Mask, self).build(input_shape) + + def compute_output_shape(self, input_shape): + return (self.output_dim, None) + + def call(self, prediction_in): + return self.boolean_mask(self.kernel*prediction_in, self.mask) + + diff --git a/n3fit/layers/Observable.py b/n3fit/layers/Observable.py new file mode 100644 index 0000000000..c951b15033 --- /dev/null +++ b/n3fit/layers/Observable.py @@ -0,0 +1,43 @@ +from sys import exit +import numpy as np +from backends import MetaLayer + +class Observable(MetaLayer): + """ + This class is the parent of the DIS and DY convolutions. + All backend-dependent code necessary for the convolutions + is (must be) concentrated here + + The methods gen_basis and call must be overriden by the observables + where + - gen_basis: it is called by the initializer and generates the mask between + fktables and pdfs + - call: this is what does the actual operation + + """ + + def __init__(self, output_dim, fktable, basis = None, nfl = 14, **kwargs): + self.nfl = nfl + + self.output_dim = output_dim + self.fktable = self.np_to_tensor(fktable) + self.xgrid_size = self.fktable.shape[-1] + + self.gen_basis(basis) + + super(MetaLayer, self).__init__(**kwargs) + + + def compute_output_shape(self, input_shape): + return (self.output_dim, None) + + # Overridables + def gen_basis(self, basis): + print("{0} must implement the method gen_basis".format(self)) + exit(-1) + + def call(self, pdf_in): + print("{0} must implement the method gen_basis".format(self)) + exit(-1) + + diff --git a/n3fit/layers/Preprocessing.py b/n3fit/layers/Preprocessing.py new file mode 100644 index 0000000000..d2228280a2 --- /dev/null +++ b/n3fit/layers/Preprocessing.py @@ -0,0 +1,89 @@ +from backends import MetaLayer +import numpy as np + +BASIS_SIZE = 8 +class Preprocessing(MetaLayer): + + def __init__(self, output_dim = BASIS_SIZE, trainable = True, flav_info = None, seed = 0, **kwargs): + self.output_dim = output_dim + self.trainable = trainable + self.flav_info = flav_info + self.seed = seed + super(MetaLayer, self).__init__(**kwargs) + + def compute_output_shape(self, input_shape): + return (input_shape[0], self.output_dim) + + def build(self, input_shape): + self.kernel = [] + for i in range(BASIS_SIZE * 2): + fl = int(i/2) + f = self.flav_info[fl]['fl'] + if i % 2: + name = "beta_{0}".format(f) + kind = 'largex' + else: + name = "alfa_{0}".format(f) + kind = 'smallx' + + limits = self.flav_info[fl][kind] + lm = limits[0] + lp = limits[1] + init = MetaLayer.select_initializer('random_uniform', minval = lm, maxval = lp, seed = self.seed + i) + const = self.constraint_MinMaxWeight(min_value = lm, max_value = lp) + + nw = self.builder_helper( + name = name, + kernel_shape = (1,), + initializer = init, + trainable = self.trainable, + constraint = const + ) + + self.kernel.append(nw) + + super(Preprocessing, self).build(input_shape) + + def call(self, x): + pdf_raw = self.concatenate([ + x**(1-self.kernel[0][0])*(1-x)**self.kernel[1][0], # sigma + x**(1-self.kernel[2][0])*(1-x)**self.kernel[3][0], # g + x**(1-self.kernel[4][0])*(1-x)**self.kernel[5][0], # v + x**(1-self.kernel[6][0])*(1-x)**self.kernel[7][0], # v3 + x**(1-self.kernel[8][0])*(1-x)**self.kernel[9][0], # v8 + x**(1-self.kernel[10][0])*(1-x)**self.kernel[11][0], # t3 = sigma + x**(1-self.kernel[12][0])*(1-x)**self.kernel[13][0], # t8 = sigma + x**(1-self.kernel[14][0])*(1-x)**self.kernel[15][0] # t15 c- + ], axis = 1) + return pdf_raw + +class Rotation(MetaLayer): + + def __init__(self, output_dim = 14, **kwargs): + self.output_dim = output_dim + super(MetaLayer, self).__init__(**kwargs, name = "evolution") + + def compute_output_shape(self, input_shape): + return (input_shape[0], self.output_dim) + + def call(self, x_raw): + x = self.transpose(x_raw) + pdf_raw_list = [ + 0*x[0], # photon + x[0], # sigma + x[1], # g + x[2], # v + x[3], # v3 + x[4], # v8 + x[2], # v15 + x[2], # v24 + x[2], # v35 + x[5], # t3 + x[6], # t8 + x[0]-4*x[7], # t15 (c-) + x[0], # t24 + x[0], # t35 + ] + pdf = self.concatenate( pdf_raw_list, target_shape = (self.output_dim, -1) ) + return self.transpose(pdf) + diff --git a/n3fit/layers/__init__.py b/n3fit/layers/__init__.py new file mode 100644 index 0000000000..4fd194ccd1 --- /dev/null +++ b/n3fit/layers/__init__.py @@ -0,0 +1,7 @@ +from layers.Preprocessing import Rotation, Preprocessing +from layers.Integration import xDivide, xIntegrator, MSR_Normalization, xMultiply +from layers.DIS import DIS +from layers.DY import DY +from layers.Mask import Mask +from backends import MetaLayer + diff --git a/n3fit/model_gen.py b/n3fit/model_gen.py new file mode 100644 index 0000000000..022df86d6d --- /dev/null +++ b/n3fit/model_gen.py @@ -0,0 +1,221 @@ +""" + Library of functions to generate the NN objects + + observable_generator: + Generates the output layers + pdfNN_layer_generator: + Generates the PDF NN layer to be fitted +""" + +from layers import DIS +from layers import DY +from layers import Mask +from layers import Preprocessing, Rotation + +from backends import operations +from backends import losses +from backends import MetaModel, MetaLayer +from backends import base_layer_selector, concatenate, Lambda + +import numpy as np +import pdb + +def observable_generator(spec_dict, positivity_initial = None, positivity_multiplier = 1.05, verbose = False, positivity_steps = 300): + """ + Receives a spec object (can be either a dataset or an experiment) + Takes some optional arguments: + positivity_initial: if given, set this number as the positivity multiplier for epoch 1 + positivity_multiplier: how much the positivity increases every 100 steps + positivity_steps: if positivity_initial is not given, computes the initial by assuming we want, after + 100*positivity_steps epochs, to have the lambda of the runcard + returns a tuple with: + (input_layer, obs_layer, loss function, exp_data) + - input_layer: list of input layers + - obs_layer: one single output layer + - loss_function: one single loss function + - exp_data: one single set of true data to compare to + """ + spec_name = spec_dict['name'] + model_inputs = [] + model_obs = [] + + # The first step is to generate an observable layer for each given datasets + for dataset_dict in spec_dict['datasets']: + dataname = dataset_dict['name'] + + # Choose which kind of observable are we dealing with, since this will define the convolution + if dataset_dict['hadronic']: + Obs_Layer = DY + else: + Obs_Layer = DIS + + # Define the operation (if any) + op = operations.c_to_py_fun(dataset_dict['operation'], name = dataname) + # Retrieve the list of fktables + fktable_list = dataset_dict['fktables'] + + obs_list = [] + input_list = [] + # Now generate an input and output layer for each sub_obs of the dataset + for i, fktable_dict in enumerate(fktable_list): + # Input layer + input_layer = operations.numpy_to_input( fktable_dict['xgrid'].T ) + input_list.append(input_layer) + # Output layer + obs_layer = Obs_Layer( output_dim = fktable_dict['ndata'], + fktable = fktable_dict['fktable'], + basis = fktable_dict['basis'], + name = "{0}_{1}".format(dataname, i), + input_shape = (14,) ) + obs_list.append( (input_layer, obs_layer) ) + + # Add the inputs to the lists of inputs of the model + model_inputs += input_list + # Append the combination of observable and the operation to be applied to the list of model_obs + model_obs.append( (op, obs_list) ) + + + + + def final_obs(pdf_layer): + all_ops = [] + for operation, observables in model_obs: + all_obs = [] + for i_layer, o_layer in observables: + all_obs.append( o_layer( pdf_layer( i_layer ) ) ) + all_ops.append(operation(all_obs)) + if len(all_ops) == 1: + return all_ops[0] + else: + return concatenate( all_ops, axis = 0, name = spec_name + "_full" ) + + if spec_dict['positivity']: + max_lambda = spec_dict['lambda'] + if not positivity_initial: + initial_lambda = max_lambda/pow(positivity_multiplier, positivity_steps) + else: + initial_lambda = positivity_initial + out_tr_mask = Mask(bool_mask = spec_dict['trmask'], c = initial_lambda, name = spec_name) + def out_tr(pdf_layer): + return out_tr_mask( final_obs(pdf_layer) ) + layer_info = { + 'inputs' : model_inputs, + 'output_tr' : out_tr, + 'loss_tr' : losses.l_positivity() + } + return layer_info + + # Now generate the mask layers to be applied to training and validation + out_tr_mask = Mask(bool_mask = spec_dict['trmask'], name = spec_name) + out_vl_mask = Mask(bool_mask = spec_dict['vlmask'], name = spec_name + "_val" ) + + + def out_tr(pdf_layer): + return out_tr_mask( final_obs(pdf_layer) ) + def out_vl(pdf_layer): + return out_vl_mask( final_obs(pdf_layer) ) + + + + # Generate the loss function as usual + invcovmat = spec_dict['invcovmat_true'] + loss = losses.l_invcovmat( invcovmat ) + + invcovmat_tr = spec_dict['invcovmat'] + loss_tr = losses.l_invcovmat(invcovmat_tr) + + invcovmat_vl = spec_dict['invcovmat_vl'] + loss_vl = losses.l_invcovmat(invcovmat_vl) + + layer_info = { + 'inputs' : model_inputs, + 'output' : final_obs, + 'loss' : loss, + 'output_tr' : out_tr, + 'loss_tr' : loss_tr, + 'output_vl' : out_vl, + 'loss_vl' : loss_vl, + } + + return layer_info + + + +def pdfNN_layer_generator(inp = 2, + nodes = [15, 8], activations = ['tanh', 'linear'], initializer_name = 'glorot_normal', layer_type = 'dense', + flav_info = None, out = 14, seed = None, dropout = 0.0): + """ + Generates a NN that takes as input the xgrid value and outputs the basis of 14 PDFs + fk tables use + """ + # Safety check + ln = len(nodes) + la = len(activations) + if ln > la: + activations = (ln-la)*['tanh'] + activations + print("Did not received enough activation functions, appending copies of the first activation foudn") + elif la > ln: + activations = activations[-ln:] + print("Received more activations than layers, using only the last ones") + + # If dropout == 0, don't add dropout layer + if dropout == 0.0: + dropme = -99 + else: # Add the dropout to the second to last layer + dropme = ln-2 + + # Layer generation + dl = [] + pre = inp + for i, (units, activation) in enumerate(zip(nodes, activations)): + if i == dropme and i != 0: + dl.append(base_layer_selector('dropout', rate = dropout)) + + init = MetaLayer.select_initializer(initializer_name, seed=seed+i) + + arguments = {'kernel_initializer' : init, 'units' : int(units), 'activation' : activation, + 'input_shape' : (pre,), + } + # Arguments that are not used by a given layer are just dropped + tmpl = base_layer_selector(layer_type, **arguments) + + dl.append(tmpl) + pre = int(units) + + if inp == 2: + add_log = Lambda( lambda x: concatenate([x, operations.op_log(x)], axis = 1) ) + def dense_me(x): + if inp == 1: + curr_fun = dl[0](x) + else: + curr_fun = dl[0](add_log(x)) + + for dense_layer in dl[1:]: + curr_fun = dense_layer(curr_fun) + return curr_fun + + # Preprocessing layer (will be multiplied to the last of the denses) + preproseed = seed + ln + layer_preproc = Preprocessing(input_shape = (1,), name = "pdf_prepro", flav_info = flav_info, seed = preproseed) + + # Evolution layer + layer_evln = Rotation(input_shape = (pre,), output_dim = out) + + # Generate multiplier layer + # multiplier = Multiply(name = "MultiplyPreproc") + + # Apply preprocessing + def layer_fitbasis(x): + return operations.op_multiply( [dense_me(x), layer_preproc(x)] ) + + # Rotation layer, changes from the 8-basis to the 14-basis + def layer_pdf(x): + return layer_evln( layer_fitbasis(x) ) + + dict_layers = { + 'denses' : dense_me, # The set of the N dense layers + 'preprocessing' : layer_preproc, # The layer that applies preprocessing + 'fitbasis' : layer_fitbasis # Applied preprocessing to the output of the denses + } + + return layer_pdf, dict_layers diff --git a/n3fit/n3fit.py b/n3fit/n3fit.py new file mode 100755 index 0000000000..4dc3878273 --- /dev/null +++ b/n3fit/n3fit.py @@ -0,0 +1,180 @@ +#!/usr/bin/env python +""" + n3fit - performs fit using ml external frameworks +""" + +import sys +import re +import shutil +import pathlib +import logging +import hashlib +import warnings +import argparse + +from validphys.app import App +from validphys.config import Environment, Config +from validphys.config import EnvironmentError_, ConfigError +from reportengine import colors +from reportengine.compat import yaml + + +N3FIT_FIXED_CONFIG = dict( + use_cuts = 'internal', + use_t0 = True, + actions_ = ['datacuts::theory fit'] +) + +N3FIT_PROVIDERS = ['fit'] + +log = logging.getLogger(__name__) + +RUNCARD_COPY_FILENAME = 'filter.yml' + + +class N3FitError(Exception): + """Exception raised when n3fit cannot succeed and knows why""" + pass + + +class N3FitEnvironment(Environment): + """Container for information to be filled at run time""" + def init_output(self): + # check file exists, is a file, has extension. + if not self.config_yml.exists(): + raise N3FitError("Invalid runcard. File not found.") + else: + if not self.config_yml.is_file(): + raise N3FitError("Invalid runcard. Must be a file.") + + # check if results folder exists + self.output_path = pathlib.Path(self.output_path).absolute() + if not self.output_path.exists(): + if not re.fullmatch(r'[\w.\-]+', self.output_path.name): + raise N3FitError("Invalid output folder name. Must be alphanumeric.") + try: + self.output_path.mkdir() + pathlib.Path(self.output_path / 'nnfit').mkdir() + except OSError as e: + raise EnvironmentError_(e) from e + + try: + shutil.copy2(self.config_yml, self.output_path / RUNCARD_COPY_FILENAME) + except shutil.SameFileError: + pass + + # create output folder for the fit + self.replica_path = self.output_path / 'nnfit' + for replica in self.replica: + path = self.replica_path / 'replica_{0}'.format(replica) + log.info('Creating replica output folder in {0}'.format(path)) + try: + path.mkdir(exist_ok=True) + except OSError as e: + raise EnvironmentError_(e) from e + + + @classmethod + def ns_dump_description(cls): + return {'replica': 'The MC replica number', + 'replica_path': 'The replica output path', + 'output_path': 'The runcard name', + 'hyperopt': 'The hyperopt flag', + 'create_test_card' : 'Create test card flag', + **super().ns_dump_description()} + + +class N3FitConfig(Config): + """Specialization for yaml parsing""" + + @classmethod + def from_yaml(cls, o, *args, **kwargs): + try: + with warnings.catch_warnings(): + warnings.simplefilter('ignore', + yaml.error.MantissaNoDotYAML1_1Warning) + #We need to specify the older version 1.1 to support the + #older configuration files, which liked to use on/off for + #booleans. + #The floating point parsing yields warnings everywhere, which + #we suppress. + file_content = yaml.safe_load(o, version='1.1') + except yaml.error.YAMLError as e: + raise ConfigError(f"Failed to parse yaml file: {e}") + if not isinstance(file_content, dict): + raise ConfigError(f"Expecting input runcard to be a mapping, " + f"not '{type(file_content)}'.") + file_content.update(N3FIT_FIXED_CONFIG) + return cls(file_content, *args, **kwargs) + + +class N3FitApp(App): + """The class which parsers and performs the fit""" + environment_class = N3FitEnvironment + config_class = N3FitConfig + + def __init__(self): + super(N3FitApp, self).__init__(name='n3fit', + providers=N3FIT_PROVIDERS) + + @property + def argparser(self): + parser = super().argparser + parser.add_argument('-o', '--output', + help='Output folder and name of the fit', + default=None) + parser.add_argument('--hyperopt', + help='Enable hyperopt scan', + default=None, type=int) + parser.add_argument('--create_test_card', + help='Generates a new runcard where some datasets are only used for a test set (only hyperopt)', + action='store_true') + + def check_positive(value): + ivalue = int(value) + if ivalue <= 0: + raise argparse.ArgumentTypeError("%s is an invalid positive int value." % value) + return ivalue + + parser.add_argument('replica', + help='MC replica number', type=check_positive) + parser.add_argument('-r', '--replica_range', + help = 'End of the range of replicas to compute', type=check_positive) + return parser + + def get_commandline_arguments(self, cmdline=None): + args = super().get_commandline_arguments(cmdline) + if args['output'] is None: + args['output'] = pathlib.Path(args['config_yml']).stem + return args + + def run(self): + try: + self.environment.config_yml = pathlib.Path(self.args['config_yml']).absolute() + replica = self.args['replica'] + if self.args['replica_range']: + replicas = list(range(replica, self.args['replica_range']+1)) + else: + replicas = [replica] + from pdb import set_trace + self.environment.replica = replicas + self.environment.hyperopt = self.args['hyperopt'] + if self.args['create_test_card']: + self.environment.create_test_card = self.environment.config_yml + else: + self.environment.create_test_card = None + super().run() + except N3FitError as e: + log.error(f'Error in n3fit:\n{e}') + sys.exit(1) + except Exception as e: + log.critical(f'Bug in n3fit ocurred. Please report it.') + print( + colors.color_exception(e.__class__, e, e.__traceback__), + file=sys.stderr) + sys.exit(1) + + +if __name__ == '__main__': + a = N3FitApp() + a.main() diff --git a/n3fit/plotting.py b/n3fit/plotting.py new file mode 100755 index 0000000000..357f810f15 --- /dev/null +++ b/n3fit/plotting.py @@ -0,0 +1,691 @@ +#!/usr/bin/env python3 + +""" + Script to plot the hyperopt scans +""" + +import pandas as pd +import numpy as np +import matplotlib.pyplot as plt +import seaborn as sns + +import itertools +import os +import json +import warnings +warnings.simplefilter(action = 'ignore', category = FutureWarning) + +from pdb import set_trace + +import re +regex_op = re.compile("[^\w^\.]+") +regex_not_op = re.compile("[\w\.]+") + +keywords = { + 'id' : 'iteration', + + 'optimizer' : 'optimizer', + 'lr' : 'learning_rate', + 'initializer' : 'initializer', + 'dropout' : 'dropout', + + 'nodes' : 'nodes_per_layer', + 'max_layers' : 4, + 'nl' : 'number_of_layers', + 'activation' : 'activation_per_layer', + 'architecture' : 'layer_type', + + 'epochs' : 'epochs', + 'stp' : 'stopping_patience', + 'ste' : 'stopping_epochs', + 'p_ini' : 'pos_initial', + 'p_mul' : 'pos_multiplier', + + 'good' : 'good', + 'vl' : 'validation_loss', + 'tl' : 'testing_loss', + 'loss' : 'loss', + } + +# 0 = normal scatter plot, 1 = violin, 2 = log +plotting_keys = [ + (keywords['id'], 0), + (keywords['optimizer'], 1), + (keywords['lr'], 2, [2e-4, 4e-1]), + (keywords['initializer'], 1), + + (keywords['epochs'], 0), + (keywords['ste'], 0), + (keywords['stp'], 0), + (keywords['p_mul'], 0), + + (keywords['nl'], 1), + (keywords['activation'], 1), + (keywords['dropout'], 0), + (keywords['tl'], 0), + + ] + +# for i in range(4): +# plotting_keys.append( ('layer_{0}'.format(i+1),0) ) + + +# Family parsing +def optimizer_parse(trial, dict_out): + """ + This function parses the family of parameters which regards the optimizer: + + optimizer + learning_rate (when it exists) + initializer + dropout + """ + opt = trial['misc']['space_vals'][keywords['optimizer']] + if isinstance(opt, dict): + # if it is a dict the optimizer includes extra information + name = opt[keywords['optimizer']] + lr = opt[keywords['lr']] + else: + name = opt + lr = None + ini = trial['misc']['space_vals'][keywords['initializer']] + dropout_rate = trial['misc']['space_vals'][keywords['dropout']] + + + dict_out[keywords['optimizer']] = name + dict_out[keywords['lr']] = lr + dict_out[keywords['initializer']] = ini + dict_out[keywords['dropout']] = dropout_rate + + +def architecture_parser(trial, dict_out): + """ + This function parses the family of parameters which regards the architecture of the NN + + number_of_layers + activation_per_layer + nodes_per_layer + l1, l2, l3, l4... max_layers + layer_type + """ + nodes_per_layer = trial['misc']['space_vals'][keywords['nodes']] + nl = len(nodes_per_layer) - 1 + activation_name = trial['misc']['space_vals'][keywords['activation']][0] + architecture = trial['misc']['space_vals'][keywords['architecture']] + + dict_out[keywords['nodes']] = nodes_per_layer + dict_out[keywords['nl']] = nl + dict_out[keywords['activation']] = activation_name + dict_out[keywords['architecture']] = architecture + + # In principle we might be checking any number of layers, + # so it is important to make sure that the maximum number of layers + # (which will be used at plotting time) is correct + if nl > keywords['max_layers']: + keywords['max_layers'] = nl + + + for i in range(keywords['max_layers']): + dict_out['layer_{0}'.format(i+1)] = None + + for i, nodes in enumerate(nodes_per_layer[:-1]): + dict_out['layer_{0}'.format(i+1)] = nodes + + +def stopping_parser(trial, dict_out): + """ + Parses the family of parameters that define the stopping + + epochs + stopping_patience + pos_initial + pos_multiplier + """ + + epochs = trial['misc']['space_vals'][keywords['epochs']] + patience = trial['misc']['space_vals'][keywords['stp']] + stop_ep = patience*epochs + positivity_initial = trial['misc']['space_vals'][keywords['p_ini']] + positivity_multiplier = trial['misc']['space_vals'][keywords['p_mul']] + + dict_out[keywords['epochs']] = epochs + dict_out[keywords['stp']] = patience + dict_out[keywords['ste']] = stop_ep + dict_out[keywords['p_ini']] = positivity_initial + dict_out[keywords['p_mul']] = positivity_multiplier + + +def stat_parser(trial, dict_out, threshold = 1e3, val_f = 0.5, **kwargs): + """ + Parser the stats information of the trial, the losses, the failures, etc + """ + test_f = 1.0 - val_f + validation_loss = trial['result'][keywords['vl']] + testing_loss = trial['result'][keywords['tl']] + loss = validation_loss*val_f + testing_loss*test_f + + if testing_loss < threshold and validation_loss < threshold: + good_result = True + else: + good_result = False + + # Was this a ok run? + if trial['result']['status'] != 'ok': + ok = False + else: + ok = good_result + + if not good_result: + # Set bad results to be an order of magnitude above everything else + loss = threshold*10 + + dict_out[keywords['good']] = ok + dict_out[keywords['loss']] = loss + dict_out[keywords['vl']] = validation_loss + dict_out[keywords['tl']] = testing_loss + + +def filter_by_string(data_dict, filter_string): + """ + Receives a data_dict (a parsed trial) and a filter string, returns True if the trial passes the filter + + filter string must have the format: key[]string + where [] can be any of !=, =, >, < + """ + match = regex_not_op.findall(filter_string) + if len(match) < 2: + raise Exception("Filter str is not correct: {0}".format(filter_string)) + filter_key = match[0] + filter_val = match[1] + + if filter_key in keywords.keys(): + filter_key = keywords[filter_key] + + val_check = data_dict[filter_key] + if val_check is None: # NaN means it does not apply + return True + + operator = regex_op.findall(filter_string)[0] + + if operator == "=": operator = "==" + operators = ["!=", "==", ">", "<"] + if operator not in operators: + raise Exception("Filter string not valid, operator not recognized {0}".format(filter_string)) + + # This I know it is not ok: + if isinstance(val_check, str) and isinstance(filter_val, str): + check_str = '"{0}"{1}"{2}"' + else: + check_str = '{0}{1}{2}' + try: + return eval(check_str.format(val_check, operator, filter_val)) + except: + return False + + +# General parsing +def trial_parser(trial, filter_me = None, **kwargs): + """ + Trials are very convoluted object, very branched inside + The goal of this function is to separate said branching so we can create hierarchies + """ + # Is this a true trial + if trial['state'] != 2: + return None + + + + data_dict = {} + # Parse all information in easy to use dictionaries + optimizer_parse(trial, data_dict) + architecture_parser(trial, data_dict) + stopping_parser(trial, data_dict) + stat_parser(trial, data_dict, **kwargs) + + + # If a filter is set, check whether the trial pass the filter + if filter_me: + for filter_str in filter_me: + if not filter_by_string(data_dict, filter_str): + return None + + return data_dict + +def filter_trials(input_trials, **kwargs): + """ + Applies the search algorithm to all the different trials to find the true best model + """ + # First step is to fill in two different + failed_trials = [] + ok_trials = [] + + full_info = [] + for tid, trial in enumerate(input_trials): + trial_dict = trial_parser(trial, **kwargs) + if trial_dict is None: + continue + trial_dict[keywords['id']] = tid + full_info.append(trial_dict) + + return full_info + + +def order_axis(df, bestdf, key): + """ + Helper function for ordering the axis and make sure the best is always first + """ + best_x_lst = bestdf.get(key).tolist() + ordering = set(df.get(key).tolist()) + ordering.remove(best_x_lst[0]) + ordering_true = best_x_lst + list(ordering) + best_x = np.array([str(best_x_lst[0])]) + return ordering_true, best_x + +def plot_scans(df, best_df, outfile): + """ + This function plots all trials in a nice multiplot + """ + # Some printouts + print("All trials:") + print(df) + + print('Best setup:') + with pd.option_context('display.max_rows', None, 'display.max_columns', None): + print(best_df) + + # Append extra keys for the number of possible layers + for i in range(keywords['max_layers']): + plotting_keys.append( ('layer_{0}'.format(i+1),4) ) + + + # Create a grid of plots + nplots = len(plotting_keys) + _, axs = plt.subplots(4, nplots//4, sharey=True, figsize=(30,30)) + + # Set the quantity we will be plotting in the y axis + loss_k = keywords['loss'] + + for ax, key_tuple in zip(axs.reshape(-1), plotting_keys): + key = key_tuple[0] + mode = key_tuple[1] + + if mode == 0 or mode == 2: # normal scatter plot + ax = sns.scatterplot(x = key, y = loss_k, data = df, ax = ax) + best_x = best_df.get(key) + if mode == 2: + ax.set_xscale('log') + ax.set_xlim( key_tuple[2] ) + elif mode == 1: + ordering_true, best_x = order_axis(df, best_df, key=key) + ax = sns.violinplot(x=key, y=loss_k, data=df, ax=ax, palette="Set2",cut=0.0, order= ordering_true) + ax = sns.stripplot(x=key, y=loss_k, data=df, ax=ax, color="gray", order=ordering_true, alpha=0.4) + elif mode == 4: # The nodes per layer is a special case because we want to know to which total number of layers they correspond + ordering_true, _ = order_axis(df, best_df, key=keywords['nl']) + best_x = best_df.get(key) + for l in ordering_true: + plot_data = df[df[keywords['nl']] == l] + label = 'layers = {0}'.format(l) + ax = sns.scatterplot(x = key, y=loss_k, data=plot_data, ax=ax, label=label) + ax.legend() + + # Finally plot the "best" one, which will be first + ax = sns.scatterplot(x = best_x, y = best_df.get(loss_k), ax = ax, color = 'orange', marker='s') + ax.set_ylabel('Loss') + ax.set_xlabel(key) + + plt.savefig(f'{outfile}', bbox_inches="tight") + +def draw_histogram(dataframe, key, plotable = 'loss', columns = 2): + values = set(dataframe[key]) + nv = len(values) + rows = np.ceil(nv/columns) + + for i, value in enumerate(values): + plt.subplot(rows, columns, i+1) + data = dataframe[ dataframe[key] == value ] + plt.hist(data[plotable], 20) + plt.xlabel(value) + plt.show() + + +def print_stats(dataframe, + stats_keys = ['optimizer', 'nl', 'initializer', 'activation'], + n_combinations = 2, verbose = True, return_early = False, + how_many_to_kill = 2, remove_by_key = False, save_n_best = 10, + **kwargs + ): + """ + Print statistics on failure rates, averages and so + """ + + # Ok, at this point I have a dataframe with all the content from the json. + # if filters or changes on the threshold for the loss are active, the dataframe would + # already be filtered and all information ready + + def read_key(key): + if key in keywords.keys(): + key_name = keywords[key] + else: + key_name = key + return key_name + def kclean(l): + return [read_key(i) for i in l] + def remove_key(dictionary, key): + new_d = dictionary.copy() + new_d.pop(key) + return new_d + def gen_key_info(full_dataframe, keys): + key_info = {} + for key_name in keys: + all_possible_values = full_dataframe[key_name] + remove_nans = filter(lambda x: x==x, all_possible_values) + remove_duplicates = sorted(list(set(remove_nans))) + if remove_duplicates: + key_info[key_name] = remove_duplicates + return key_info + def get_slice(full_dataframe, key, value): + return full_dataframe[ full_dataframe[key] == value ] + + from HyperAlgorithm import HyperAlgorithm + + keys_lv_0 = kclean(['optimizer', 'number_of_layers']) + keys_lv_1 = kclean(['epochs', 'stopping_patience', 'activation']) + keys_lv_2 = kclean(['p_mul', 'p_ini', 'learning_rate']) + + keys_for_removal = keys_lv_0 + keys_lv_1 + + key_info_full = gen_key_info(dataframe, keys_for_removal) + hypalg = HyperAlgorithm(key_info = key_info_full) + trim_dataframe = hypalg.remove_failing(dataframe) + key_info_trim = gen_key_info(trim_dataframe, keys_for_removal) + hypalg = HyperAlgorithm(key_info = key_info_trim) + + decision_tree = {} + + key_0 = keys_lv_0[0] + options_0 = key_info_trim[key_0] + for val in options_0: + print("For {0}".format(val)) + full_slice = get_slice(trim_dataframe, key_0, val) + trim_slice = hypalg.remove_failing(full_slice) + for key in keys_for_removal[1:]: + trim_slice = hypalg.remove_failing(trim_slice, key = key, fail_threshold = 0.0) + # At this point I've already removed the worst worst ones, now we can create the "decision_tree" + tree_key_info = gen_key_info(trim_slice, keys_lv_0[0:]) + decision_tree[val] = (tree_key_info, trim_slice) + + print("\n\n") + verbose = False + + final_decision_tree = {} + key_1 = keys_lv_0[1] + for val_0, info in decision_tree.items(): + keys = info[0] + f_slice = info[1] + options_1 = keys[key_1] + if verbose: print("For {0}, accepted options are: {1}={2}".format(val_0, key_1, options_1)) + final_decision_tree[val_0] = {} + for val in options_1: + print(val) + trim_slice = get_slice(f_slice, key_1, val) + for key_name in keys_for_removal[2:]: + trim_slice = hypalg.remove_failing(trim_slice, key = key_name, fail_threshold = 0.0, verbose = False) + # Save the final slice for this branch of the tree + final_decision_tree[val_0][val] = trim_slice + + # Now for each branch let's look at the rewards + final_answer = {} + for val_0, item_0 in final_decision_tree.items(): + if verbose: print("For {0}".format(val_0)) + final_answer[val_0] = {} + for val_1, item_1 in item_0.items(): + if verbose: print("\n\nFor {0}".format(val_1)) + # Now remove half of the combinations but only looking at the level_1 keys + key_info_lv1 = gen_key_info(item_1, keys_lv_1) + falg = HyperAlgorithm(key_info = key_info_lv1) + n1 = len(key_info_lv1) + trim_slice = falg.remove_failing(item_1, n_combinations = n1, fail_threshold = 'median', verbose = False) + # Now do the same with the level 2, remove the worst half + key_info_lv2 = gen_key_info(trim_slice, keys_lv_2) + falg = HyperAlgorithm(key_info = key_info_lv2) + n2 = len(key_info_lv2) + final_slice = falg.remove_failing(trim_slice, n_combinations = n2, fail_threshold = 'median', verbose = False) + # Now print the ranges + print_ranges = keys_lv_1 + keys_lv_2 + print(""" +For {0} = {1} + {2} = {3}""".format(key_0, val_0, key_1, val_1)) + palg = HyperAlgorithm(key_info = gen_key_info(final_slice, print_ranges)) + palg.print_ranges(final_slice, dataframe_original = item_1) + + return + + + + + #key_priority_raw = ["architecture", "optimizer", "number_of_layers", "epochs", "activation"] + key_priority_raw = ["optimizer", "epochs", "number_of_layers", "learning_rate", "activation", "layer_1", "layer_2", "layer_3"] + key_priority = [ read_key(i) for i in key_priority_raw ] + # Now, for each key we need to get all the possible options + + key_info = gen_key_info(dataframe) + # Now that we have all the options we need to go in priority order + + + + + # 1. Remove the failing entries (i.e., reward == failing reward) + hypalg = HyperAlgorithm(key_info = key_info) + trim_dataframe = hypalg.remove_failing(dataframe) + # 1.b Regenerate key_info + key_info = gen_key_info(trim_dataframe) + + # 2. Now fix the optimizer and continue + key_0 = key_priority[0] # optimizer + options_0 = key_info[key_0] + key_info_0 = remove_key(key_info, key_0) + hypalg = HyperAlgorithm(key_info = key_info_0) + for val in options_0: + print("\n\n") + print(val) + f_slice = trim_dataframe[ trim_dataframe[key_0] == val ] + # First remove all failing keys + trim_slice = hypalg.remove_failing(f_slice) + for key_name in key_priority[1:]: + print(">") + print(key_name) + trim_slice = hypalg.remove_failing(trim_slice, key = key_name, fail_threshold = 0.0) + hypalg.print_ranges(trim_slice, dataframe_original = f_slice) + + + set_trace() + + + # Create a key_info dict with one entry removed for each key + key_infos = [] + last_k = key_info + for key_name in key_priority: + last_k = remove_key(last_k, key_name) + key_infos.append(last_k) + + + + + key_0 = key_priority[0] + options_0 = key_info[key_0] + slices_0 = [] + key_info_0 = { key_priority[1] : key_info[key_priority[1]] } + hyperalg_0 = HyperAlgorithm(key_info = key_info) + hyperalg_0.check_wrapper_weaklings_killer(dataframe, 1) + for option_0 in options_0: + slices_0.append(dataframe[ dataframe[key_0] == option_0 ]) + for slice_0 in slices_0: + # check the rewards, if some are particularly bad, kill them + _ = hyperalg_0.check_wrapper_weaklings_killer(slice_0, 1) + # entonce smatamos primero los epochs por ejemplo + # con los epochs malos eliminados, miramos el numbeor de layers + # y eliminamos los dos peores (nos quedamos con la mitad) + # luego para cada uno nos quedamos con el set de numero de nodos que tiene mejor pinta + # y asi + set_trace() + + + + + + + + + def print_me(string): + if verbose: + print(string) + + def kill_val(key, name): + dataframe.loc[ dataframe[key] == name, keywords['good'] ] = False + + def process_slice(df_slice): + """ Function to process a slice into a dictionary with interesting stats """ + md = {} + good = df_slice[ df_slice[keywords['good']] ] + md['n_total'] = len(df_slice) + md['n_good'] = len(good) + md['n_failed'] = md['n_total'] - md['n_good'] + if md['n_total'] == 0: + f_rate = None + else: + f_rate = md['n_failed']/md['n_total']*100 + md['f_rate'] = f_rate + + # Compute for each the best loss (among the good ones) and the std dev + good_losses = good[ keywords['loss'] ] + md['best_loss'] = good_losses.min() + md['std'] = good_losses.std() + return md + ############################### + + # Parse the keys into a dict of { 'keyname' : [possible, values] } + key_info = {} + for key in stats_keys: + if key in keywords.keys(): + key_name = keywords[key] + else: + key_name = key + possible_values = list( + set( + filter( lambda x: x == x, dataframe[key_name] ) + ) + ) + key_info[key_name] = possible_values + + from HyperAlgorithm import HyperAlgorithm + hyperalg = HyperAlgorithm(key_info = key_info, fail_threshold=65, how_many_to_kill = how_many_to_kill, remove_by_key = remove_by_key ) + + # First run over all keys and print_me the information for them to see the general picture + + # Perform a genocide for every reward below the threshold for 1 combination and then 2 the same with combinations of 2 + new_dataframe = hyperalg.check_wrapper_weaklings_killer(dataframe, 1) + new_dataframe = hyperalg.check_wrapper_weaklings_killer(new_dataframe, 2) + set_trace() + new_dataframe = hyperalg.check_wrapper_weaklings_killer(new_dataframe, 1) + new_dataframe = hyperalg.check_wrapper_weaklings_killer(new_dataframe, 2) + set_trace() + new_dataframe = hyperalg.check_wrapper_weaklings_killer(new_dataframe, 3) + + +# for i in range(1, n_combinations): +# new_dataframe = hyperalg.check_wrapper(new_dataframe, i, kill = True) + # For the last one, only the n_best surviv + new_dataframe = hyperalg.check_wrapper(new_dataframe, n_combinations, kill = True, save_n_best = save_n_best) + + # Finally print the survivors + hyperalg.print_ranges(new_dataframe, dataframe_original = dataframe) + +# Wrapper +def generate_scan_report_from_file(replica_path, json_name = "tries.json", include_failures = False, histogram = None, stats = False, **kwargs): + """ + Read json file and generate a the corresponding scan report + """ + filename = "{0}/{1}".format(replica_path, json_name) + + # Open the file and reads it as a json + with open(filename, 'r') as jlist: + input_trials = json.load(jlist) + + # Read all trials and create a list of dictionaries + trials_dictionary = filter_trials(input_trials, **kwargs) + + # Make the list of dictionaries into a dataframe + dataframe_raw = pd.DataFrame(trials_dictionary) + + # If we just want to print stats, do that and exit + if stats: + print_stats(dataframe_raw, **kwargs) + return + + # Now select whether we want only good trials or rather all of them + if include_failures: + dataframe = dataframe_raw + else: + dataframe = dataframe_raw[ dataframe_raw['good'] ] + + + + # Now select the best one + best_idx = dataframe.loss.idxmin() + best_trial = dataframe.ix[best_idx] + # Select it in this a bit more complicatted way for the plotting code to work ???? + best_trial = dataframe[ dataframe[keywords['id']] == best_trial.get(keywords['id'])] + + if histogram: + draw_histogram(dataframe, histogram) + + + + # Plot the plot + fileout = f'{replica_path}/scan.pdf' + plot_scans(dataframe, best_trial, fileout) + print("Plot saved at {0}".format(fileout)) + + +if __name__ == "__main__": + from argparse import ArgumentParser + import glob + + parser = ArgumentParser() + parser.add_argument("folder", help = "Fit folder") + parser.add_argument("-v", "--val_multiplier", help = 'Fraction to weight the validation loss with (test_multiplier = 1-val_multiplier)', + type = float, default = 0.5) + parser.add_argument("-if", "--include_failures", help = 'Flag to include failed runs in the plots', action = 'store_true') + parser.add_argument("-t", "--threshold", help = 'Value of the loss function from which to consider a run to have failed', + type = float, default = 1e3) + parser.add_argument("-dh", "--histogram", help = 'Write a histogram for a given key') + parser.add_argument("-f", "--filter", help = "Add the filter key=value to the dataframe", nargs = '+') + parser.add_argument("-s", "--stats", help = "Print stats on the run instead of plotting", action = 'store_true') + parser.add_argument("-k", "--stats_keys", help = "When using toghether with -s, chooses which keys to look at", + default = ['optimizer', 'number_of_layers', 'initializer', 'layer_1', 'layer_2', 'layer_3', 'layer_4', 'learning_rate', 'epochs'], + nargs = '+') + parser.add_argument("--ncombinations", help = "When using together with -s, chooses how many keys to combine", type = int, default = 2) + parser.add_argument("--n_to_remove", help = "Number of worst values (by reward) to remove", type = int, default = 2) + parser.add_argument("--remove_by_key", help = "Remove by key instead of by the worst of all combinations", action = "store_true") + parser.add_argument("--save_n_best", help = "Prints the n best models as a range", type = int, default = 10) + args = parser.parse_args() + + # Search for all json for all replicas + search_str = "{0}/nnfit/replica_*/tries.json".format(args.folder) + all_json = glob.glob(search_str) + + for json_path in all_json: + replica_path = os.path.dirname(json_path) + generate_scan_report_from_file(replica_path, + val_f = args.val_multiplier, + include_failures = args.include_failures, + threshold = args.threshold, + histogram = args.histogram, + filter_me = args.filter, + stats = args.stats, + stats_keys = args.stats_keys, + n_combinations = args.ncombinations, + how_many_to_kill = args.n_to_remove, + remove_by_key = args.remove_by_key, + save_n_best = args.save_n_best, + ) diff --git a/n3fit/reader.py b/n3fit/reader.py new file mode 100644 index 0000000000..0f33b2ec21 --- /dev/null +++ b/n3fit/reader.py @@ -0,0 +1,256 @@ +""" + Library of function for reading NNPDF objects +""" +import numpy as np +from pdb import set_trace +import hashlib +import copy + +from NNPDF import FKTable, DataSet, FKSet, CommonData, RandomGenerator +from validphys.core import ExperimentSpec as vp_Exp +from validphys.core import DataSetSpec as vp_Dataset + +def make_tr_val_mask(datasets, exp_name, seed): + # Set the seed for the experiment + nameseed = int(hashlib.sha256(exp_name.encode()).hexdigest(), 16) % 10**8 + nameseed += seed + np.random.seed(nameseed) + + trmask_partial = [] + vlmask_partial = [] + for dataset_dict in datasets: + ndata = dataset_dict['ndata'] + frac = dataset_dict['frac'] + trmax = int(frac*ndata) + mask = np.concatenate([np.ones(trmax, dtype=np.bool), + np.zeros(ndata-trmax, dtype=np.bool)]) + np.random.shuffle(mask) + trmask_partial.append(mask) + vlmask_partial.append(mask == False) + trmask = np.concatenate(trmask_partial) + vlmask = np.concatenate(vlmask_partial) + + return trmask, vlmask + +def fk_parser(fk, is_hadronic = False): + """ + Input: fktable object + Output: + - dictionary with information about the fktable: + {'xgrid', 'nx', 'ndata', 'basis', 'fktable'} + - fktable: numpy array representation of the fktable reshaped to be of shape (n datapoints, n flavours, n x) + """ + + # Dimensional information + nonzero = fk.GetNonZero() + ndata = fk.GetNData() + nx = fk.GetTx() + + # Basis of active flavours + nbasis = nonzero + basis = fk.get_flmap() + + # Read the xgrid and the fktable to numpy arrays + xgrid_flat = fk.get_xgrid() + fktable_flat = fk.get_sigma() + + # target shape + if is_hadronic: + nxsqrt = int(np.sqrt(nx)) + shape_out = (ndata, nbasis, nxsqrt, nxsqrt) + xgrid = xgrid_flat.reshape(1, nxsqrt) + else: + shape_out = (ndata, nbasis, nx) + xgrid = xgrid_flat.reshape(1, nx) + + # remove padding from the fktable (if any) + l = len(fktable_flat) + # get the padding + pad_position = fk.GetDSz() + pad_size = fk.GetDSz() - nx*nonzero + # remove the padding + if pad_size > 0: + mask = np.ones(l, dtype=bool) + for i in range(1, int(l/pad_position) + 1 ): + marker = pad_position*i + mask[ marker-pad_size : marker ] = False + fktable_array = fktable_flat[mask] + else: + fktable_array = fktable_flat + # reshape + fktable = fktable_array.reshape( shape_out ) + + dict_out = { + 'ndata' : ndata, + 'nbasis': nbasis, + 'nonzero': nbasis, + 'basis' : basis, + 'nx' : nx, + 'xgrid': xgrid, + 'fktable' : fktable, + } + return dict_out + + +def common_data_reader_dataset(dataset_c, dataset_spec): + """ Import fktable, common data and experimental data for the given data_name + Returns a (len 0 list of) dictionary with: + - dataset: full dataset object from which all data has been extracted + - hadronic: is hadronic? + - operation: operation to perform on the fktables below + - fktables : a list of dictionaries with the following items + - ndata: number of data points + - nonzero/nbasis: number of PDF entries which are non zero + - basis: array containing the information of the non-zero PDF entries + - nx: number of points in the xgrid (1-D), i.e., for hadronic the total number is nx * nx + - xgrid: grid of x points + - fktable: 3/4-D array of shape (ndata, nonzero, nx, (nx)) + + If the flag return_raw is set to true, returns the dataset_dict direcly + instead of the dictionary object that model_gen needs + """ + how_many = dataset_c.GetNSigma() + dict_fktables = [] + for i in range(how_many): + fktable = dataset_c.GetFK(i) + dict_fktables.append(fk_parser(fktable, dataset_c.IsHadronic())) + + dataset_dict = { + 'fktables' : dict_fktables , + 'hadronic' : dataset_c.IsHadronic(), + 'operation' : dataset_spec.op, + 'name' : dataset_c.GetSetName(), + 'frac' : dataset_spec.frac, + 'ndata' : dataset_c.GetNData() + } + + return [dataset_dict] + + +def common_data_reader_experiment(experiment_c, experiment_spec): + parsed_datasets = [] + for dataset_c, dataset_spec in zip(experiment_c.DataSets(), experiment_spec.datasets): + parsed_datasets += common_data_reader_dataset(dataset_c, dataset_spec) + return parsed_datasets + + + +def common_data_reader(spec, t0pdfset, replica_seeds = [], trval_seeds = [0]): + """ + Wrapper to read the information from validphys object + This function receives either a validphyis experiment or dataset objects + andSreturns a dictionary with: + - datasets: list of dtaset dictionaries + - invcovmat: inverse of the covariant matrix + - expdata: experimental data (len(expdata) = ndata) + - ndata: number of data points + - experiment: True/False, is it an experiment? + """ + # TODO + # This whole thing would be much more clear / streamlined if + # - The c experiment/dataset object had all the required information for the fit + # (i.e., there is a swig conversion for everything, right now missing the operator) + # - The python object stored the load within the spec when doing spec.load() this way it would not be necessary to load twice + # - The python object had all necessary information (same as point 1 but inverted) + + spec_c = spec.load() + ndata = spec_c.GetNData() + expdata_true = spec_c.get_cv().reshape(1, ndata) + spec_c.SetT0(t0pdfset) + base_mcseed = int(hashlib.sha256(str(spec).encode()).hexdigest(), 16) % 10**8 + + if replica_seeds: + all_expdatas = [] + else: + all_expdatas = [expdata_true.reshape(ndata)] + + + for replica_seed in replica_seeds: + spec_replica = copy.deepcopy(spec) + spec_replica_c = spec_replica.load() # I might need the t0 set here as well + + # Replica generation + mcseed = base_mcseed + replica_seed + RandomGenerator.InitRNG(0, mcseed) + spec_replica_c.MakeReplica() + all_expdatas.append( spec_replica_c.get_cv() ) + + #spec_c = spec_replica_c + + if isinstance(spec, vp_Exp): + datasets = common_data_reader_experiment(spec_c, spec) + elif isinstance(spec, vp_Dataset): + datasets = common_data_reader_dataset(spec_c, spec) + else: + print("reader.py: common_data_reader, didn't understood spec type") + print(type(spec)) + raise Exception("Wrong datatype in reader.py") + + exp_name = spec.name + covmat = spec_c.get_covmat() + + # Now it is time to build the masks for the training validation split + all_dict_out = [] + for expdata, trval_seed in zip(all_expdatas, trval_seeds): + tr_mask, vl_mask = make_tr_val_mask(datasets, exp_name, seed=trval_seed) + + covmat_tr = covmat[tr_mask].T[tr_mask] + ndata_tr = np.count_nonzero(tr_mask) + expdata_tr = expdata[tr_mask].reshape(1, ndata_tr) + invcovmat_tr = np.linalg.inv(covmat_tr) + + covmat_vl = covmat[vl_mask].T[vl_mask] + ndata_vl = np.count_nonzero(vl_mask) + expdata_vl = expdata[vl_mask].reshape(1, ndata_vl) + invcovmat_vl = np.linalg.inv(covmat_vl) + + dict_out = { + 'datasets' : datasets, + 'name' : exp_name, + 'expdata_true' : expdata_true, + 'invcovmat_true' : np.linalg.inv(covmat), + + 'trmask' : tr_mask, + 'invcovmat' : invcovmat_tr, + 'ndata' : ndata_tr, + 'expdata' : expdata_tr, + + 'vlmask' : vl_mask, + 'invcovmat_vl' : invcovmat_vl, + 'ndata_vl' : ndata_vl, + 'expdata_vl' : expdata_vl, + + 'positivity' : False, + } + all_dict_out.append(dict_out) + + return all_dict_out + +def positivity_reader(pos_spec): + pos_c = pos_spec.load() + ndata = pos_c.GetNData() + + parsed_set = [fk_parser(pos_c, pos_c.IsHadronic())] + + pos_sets = [{ + 'fktables' : parsed_set, + 'hadronic' : pos_c.IsHadronic(), + 'operation' : 'NULL', + 'name' : pos_spec.name, + 'frac' : 1.0, + 'ndata' : ndata, + }] + + positivity_factor = pos_spec.poslambda + + dict_out = { + 'datasets' : pos_sets, + 'trmask' : np.ones(ndata, dtype = np.bool), + 'name' : pos_spec.name, + 'expdata' : np.zeros( (1,ndata) ), + 'ndata' : ndata, + 'positivity' : True, + 'lambda' : positivity_factor + } + + return dict_out diff --git a/n3fit/readme.md b/n3fit/readme.md new file mode 100644 index 0000000000..523986ce92 --- /dev/null +++ b/n3fit/readme.md @@ -0,0 +1,280 @@ +Ciao everyone, + +As promised here is the "beta" version of the new fitting code for everyone to have fun with it. We put all our code in the folder `n3fit` (i.e., everything below is referred to this folder). + +# n3fit.py + +This version is what we promised to make public in Varenna next August, in the end we decided to push also the hyperopt code since it was already ready rather than have a stripped-down version for Easter. + + +## Look before you leap + +There are a few things to note before running this code. + +### Differences with NNPDF + +- Preprocessing: + +This is perhaps one of the biggest differences with respect to NNPDF. The preprocessing variables are being fitted (within the parameters given in the runcard). There is room for new studies on this. + +- The network: + +We have constructed the network as a single net, i.e., all layers are fully connected. + +- Positivity and stopping: + +Positivity is enforced and replicas are only accepted once they pass some positivity criteria. This is related to stopping in that the stop only occurs once the validation loss doesn't improve anymore **_and_** the positivity criteria is fulfilled. + + +- Seeds: + +Everything is seeded at the level of the experiments, i.e., if you were to change the order of two experiments the results _should_ still be the same. + +### Performance, hardware usage + +- CPU usage: + +As said in Amsterdam, the code is quite fast and able to do a fit for a single replica in the order of 10 minutes / 1 hour for DIS / Global. However the usage of the CPU power is not the most efficient + +By default tensorflow will try to generate as many processes as logical threads your computer has (x2), however most of them are sitting idle most of the time, this is due to the amount of data we have available, it is actually not enough to actually give something to do to every core (_if_ you have a big enough number of powerful enough cores). + +We have limited the code to 8-16 threads. The limitation is done in line 34,35 of `backend/keras_backend/debug_mode.py`. + +- Memory usage: + +In our tests we find an usage of 2 GB of memory for DIS and 16 GB of memory for Global. I would personally recommend to be very generous with the memory requirements since otherwise you might end up swapping, which will greatly hinder performance. + +**Warning:** If you were to run this code in a cluster with not very good sandboxing you will be still running in 8 processors even if you only asked for 2. Therefore if you are going to ask for a small number of processors I would recommend to change those settings in the code as well. You don't want to make your IT department sad. + +_WIP:_ Eventually the resources management will be part of the runcard, but we are studying how to best reduce the impact (specially on memory) so it is still work in progress and so run it at your own risk. + +### Caveats, things to be wary of + +The gradient descent algorithms are quite powerful and the possibility of running much faster means you can run much deeper networks. However, as a wise man once said, _with great power comes great responsability_. In particular in our tests we found **it is not difficult to run into overfitting issues**. + +Overfitting is most easily done in DIS where the number of data points is small enough that is not difficult to generate a network with a number of parameters comparable to the number of data points. In this situation it is possible to find overfitting even with cross validation measures. We uploaded a report where the overfitting is quite obvious as an example: https://vp.nnpdf.science/EIA8y1JXQVmT9RYBLlUeJw==/ + + +For truly reproducible runs you should set `debug: true` in the runcard as, by default, we allow tensorflow freedom to play with its own internal variables. Debug mode turns off hyperthreading and fixes tensorflow's internal variables. + +The folder structure is not final, specially the files found in the top level folder. There is still some refactoring to do here so the explanation for the folders below might be outdated in a few weeks. + +The code works as a validphys app but it is not integrated in validphys. It is not installed when you run `conda install nnpdf` or `make install`. At the moment this could be taken as "Release Candidate" but not as a final product. + +At the moment since this is a beta version the final touchs of development are being in the n3pdf repository since there are a few pull requests open. Once we have merged all pull requests there we will move development to this one. + + +### Requirements: + +- **NNPDF:** Make sure NNPDF is installed and that python is able to import validphys. +- **Python packages:** usually having NNPDF installed and working means you will have everything you need, possible pitfalls: ruamel.yaml +- **Keras & tensorflow:** if you installed nnpdf with conda I would suggest installing them also with conda to ensure compatibility between python versions (3.6/3.7 brings some changes that can affect tensorflow). Note: tensorflow-opt includes some optimizations for running on CPU so it is the recommended version. +- **Hyperopt:** in order to use hyperopt you need to install the hyperopt python package, pandas and seaborn. +- **Operative System:** we have run this code in many several different Linux machines (with wildly different Linux flavours) in both python 3.6 and 3.7. We haven't tested Mac OS but there is no reason it should not work. + +## Folder Structure: + +### Backend + +All backend dependent functions and classes are in the `backends` folder. At the moment there is only one backend implemented: keras (`backend/keras_backend`). + +In order to implement a new different backend it should be enough to ensure it provides the same classes and methods. + +### Layers + +The custom layers that define the different pieces of the Neural Network are all in the `layers/` folder. Each layer is a different class extending `backends/?/MetaLayer.py`. + +Note for instance the DIS layer `layers/DIS.py`. This layer is an operation implementing the convolution of one PDF with one FKTable (according to the active flavours). +The plan is to replace some of the operations in these layers by custom operations as we believe this will have an impact on the memory usage of the code. + + +### Base folder + +The base folder is (temporarily) where the rest of the code lies, but let me break it down. + +#### Main code: + +- n3fit.py + +Validphys app definition. + +- fit.py + +Driver of the fitting code, the hyperoptimization and the output of the code. + +- constrains.py + +Implements restrictions such as the momentum sum rule. + +- model_gen.py + +Implements functions dedicated to generate the different independent pieces of the Neural Network such as the Observable layers or the PDF layers. + +- reader.py + +Implements the reading of the datasets, experiments and positivity sets into python objects. This is the only place where libnnpdf is used. The hope is that most of the logic in this file will be substituted by PR #404. + +- writer.py + +Implements the functions dedicated to the output of the fit (crucially, .exportgrid) + +- statistics.py + +Class that saves information about the fitting such a number of epochs, losses of the different pieces, etc. It is also manages the stopping criteria. + +- ModelTrainer.py + +This class defines the behaviour of the fit, creates the Neural Network and performs the fit. + + +#### Hyperopt: + +These are files related to the hyperoptimization mode of the code. Below in the basic usage section there are some notes on how to use it in case someone wants to give a try. + +- HyperAlgorith.py + +- HyperScanner.py + +- filetrials.py + +- plotting.py + +- create_testset.py + + +#### Runcards and report examples + +We provide three runcards (in the `runcards` folder): + +- Basic: Basic_runcard.yml, for quick testing with just two datasets +- DIS: PN3_DIS_example.yml (report example: https://vp.nnpdf.science/fpzXjidYR7SMrFBXpSacEA==) +- Global: PN3_Global_example.yml(report example: https://vp.nnpdf.science/BT98HzUSTxqg6_sDkkUx0A== ) + + +#### Evolution code + +Instead of using apfel replica per replica the code found in the folder `evolven3fit' will run the evolution for all replicas at once. +This code doesn't do any kind of sanity check or similar, as long as it finds a .gridinfo file, it will be happy. + +Usage: + + make + ./evolven3fit run_folder number_of_replicas + + +### Basic Usage: + +The most basic usage is running a fit for a given runcard for a given replica: + + python3 n3fit.py runcard.yml replica_number + +This will generate a folder structure akin to the one nnfit currently generates. It is not necessary to run vp-setupfit (if you do it, it will not hurt, you will need it anyway for generating a report at some point in the pipeline). + +Example: + + python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 + +will generater a folder `NNPDF31_nlo_as_0118_basic/nnfit/replica_1` containing a number of files with arclengths, chi2, etc. + + +#### Running multiple replicas sequentially: +With the option -r is it possible to run more replicas without the need for loading the data each time. This is just a convenience feature + + python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 -r 4 + +will run replicas 1 to 4 one after the other. + +#### Hyperoptimization: +The option --hyperopt will activate the hyperoptimizer + + python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 --hyperopt 100 + +will run 100 iterations of the hyperoptimizer. We also include a script that will plot the results as a `scan.pdf' file. + + python3 plotting.py NNPDF31_nlo_as_0118_basic + +As mentioned before, it is important to avoid overfitting, relying blindly in hyperopt, however, can result in models prone to overfitting. For hyperopt a model that overfits is very good, the most straightforward way of solving this issue is to create a set of datasets that don't enter the fitting or the validation. We include a script to do this in a systematic way with the following option: + + python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 --create_test_card + +This will generate a TEST runcard with a TEST set included which can be use for hyperoptimization. + + +#### Example: from a fit to a validphys report + + +In order to generate a fit it is necessary to run the code for a number of replicas. Let's say we want a fit of the runcard DIS.yml with 20 replicas: + +``` +for replica in {1..20} +do + ./n3fit.py DIS.yml ${replica} +done +``` + +After this we'll have a `DIS/nnfit' folder with 20 replicas. Now in order to generate the fit we use the following workflow: + +First some legacy code, it's only needed for the other scripts not to complain + + vp-setupfit DIS.yml + +Now we can run evolven3fit with the folder were the replicas are included and the maximum number of replicas to find. + + ./evolven3fit DIS 20` + +From this point onwards the steps are not different from before, for completeness they are also included here: + +After running the evolution code we run postfit to generate the final PDF, for that we give the number of members we want to find and the folder. + + postfit 15 DIS + +After postfit has finished you will want the results to the NNPDF share folder, assuming a conda installation: + + cp -RL DIS $CONDA_PREFIX/share/NNPDF/results/ + +Finally, for generating the plots you need to use comparefits and follow the instructions, for the DIS runcard we provide you can use 181101-001-sc as the reference fit. + + vp-comparefits DIS 181101-001-sc --title comparison --author $USER --keywords n3fit -o my_DIS_report + + +### Going forward: + +This is a list of ideas we have so people can start working on things if they feel like it. Some of them are necessary for the full integration with NNPDF (in particular testing and implementing the new fkparser) other can be interesting or fun side projects. + +- Testing the fkparser. + +Modifying reader to use the new fkparsers implemented in PR #404 instead of using the C functions. +All calls to libnnpdf are concentrated in this file so that the changes are easy to implement. + +- Closure tests + +We have not run any closure test or implemented a way of doing it in a systematic way. It could be an interesting exercise. + + +- Implement new backends + +As said before, it should be straightforward (a straight paths can be very long, complicated and full of holes, but the path itself has not many curves). + +- Run with other algorithms + +At the moment we have run with some of the algorithms included in the default keras installation, but the space of algorithms for machine learning is quite big. We have also limited ourselves to Gradient Descent family, but that's not the end of the story. + + +- Study different strategies for preprocessing: + +At the moment we are taking a very naive approach to the fitting of the processing: we let them vary freely within the strict limits set by the runcard. This may well be suboptimal. + +#### Some other things + +Some stuff that people is working on and is close to completion: + +- Implementation of custom operators and gradients to improve performance. +- An visualizer for the fitting of the PDF in the form of an animation. + + +-------- + +Let us know if anything is unclear and feel free to open any issues you find! + + + Juan & Stefano diff --git a/n3fit/runcards/Basic_runcard.yml b/n3fit/runcards/Basic_runcard.yml new file mode 100644 index 0000000000..6044711246 --- /dev/null +++ b/n3fit/runcards/Basic_runcard.yml @@ -0,0 +1,149 @@ +# +# Configuration file for NNPDF++ +# + +############################################################ +description: NNPDF3.1 NLO fitted charm global dataset + +############################################################ +# frac: training fraction +# ewk: apply ewk k-factors +# sys: systematics treatment (see systypes) +experiments: + - experiment: ALL + datasets: + - { dataset: SLACP, frac: 0.5} + - { dataset: NMCPD, frac: 0.5 } + +############################################################ +datacuts: + t0pdfset : NNPDF31_nlo_as_0118 # PDF set to generate t0 covmat + q2min : 3.49 # Q2 minimum + w2min : 12.5 # W2 minimum + combocuts : NNPDF31 # NNPDF3.0 final kin. cuts + jetptcut_tev : 0 # jet pt cut for tevatron + jetptcut_lhc : 0 # jet pt cut for lhc + wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions + jetycut_tev : 1e30 # jet rap. cut for tevatron + jetycut_lhc : 1e30 # jet rap. cut for lhc + dymasscut_min: 0 # dy inv.mass. min cut + dymasscut_max: 1e30 # dy inv.mass. max cut + jetcfactcut : 1e30 # jet cfact. cut + +############################################################ +theory: + theoryid: 53 # database id + +########################################################### +hyperscan: + stopping: + min_epochs: 5e2 + max_epochs: 40e2 + min_patience: 0.10 + max_patience: 0.40 + positivity: + min_multiplier: 1.00000001 + max_multiplier: 1.00000002 + min_initial: + max_initial: + optimizer: + names: 'ALL' # Use all implemented optimizers + min_lr: 0.0005 + max_lr: 0.5 + architecture: + initializers: 'ALL' + max_drop: 0.15 + n_layers: [2,3,4] + min_units: 5 + max_units: 50 + activations: ['sigmoid', 'tanh'] + + +############################################################ +fitting: + genrep : on # on = generate MC replicas, off = use real data + trvlseed: 1 + nnseed: 2 + mcseed: 3 + epochs: 900 + # CHANGE THE FOLLOWING OPTIONS + save: off + savefile: 'weights.hd5' + load: off + loadfile: 'weights.hd5' + plot: off + + parameters: # This defines the parameter dictionary that is passed to the Model Trainer + nodes_per_layer: [15, 10, 8] + activation_per_layer: ['sigmoid', 'sigmoid', 'linear'] + initializer: 'glorot_normal' + learning_rate: 0.01 + optimizer: 'RMSprop' + epochs: 900 + pos_multiplier: 1.05 + pos_initial: # believe the pos_lambda below + stopping_patience: 0.30 # percentage of the number of epochs + layer_type: 'dense' + dropout: 0.0 + + # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) + # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) + # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) + # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) + fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. + basis: + # remeber to change the name of PDF accordingly with fitbasis + # pos: on for NN squared + # mutsize: mutation size + # mutprob: mutation probability + # smallx, largex: preprocessing ranges + - { fl: sng, pos: off, mutsize: [15], mutprob: [0.05], smallx: [1.05,1.19], largex: [1.47,2.70] } + - { fl: g, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.94,1.25], largex: [0.11,5.87] } + - { fl: v, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.54,0.75], largex: [1.15,2.76] } + - { fl: v3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.21,0.57], largex: [1.35,3.08] } + - { fl: v8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.52,0.76], largex: [0.77,3.56] } + - { fl: t3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.37,1.52], largex: [1.74,3.39] } + - { fl: t8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.56,1.29], largex: [1.45,3.03] } + - { fl: cp, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.12,1.19], largex: [1.83,6.70] } + +############################################################ +stopping: + stopmethod: LOOKBACK # Stopping method + lbdelta : 0 # Delta for look-back stopping + mingen : 0 # Minimum number of generations + window : 500 # Window for moving average + minchi2 : 3.5 # Minimum chi2 + minchi2exp: 6.0 # Minimum chi2 for experiments + nsmear : 200 # Smear for stopping + deltasm : 200 # Delta smear for stopping + rv : 2 # Ratio for validation stopping + rt : 0.5 # Ratio for training stopping + epsilon : 1e-6 # Gradient epsilon + +############################################################ +positivity: + posdatasets: + - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier + +############################################################ +closuretest: + filterseed : 0 # Random seed to be used in filtering data partitions + fakedata : off # on = to use FAKEPDF to generate pseudo-data + fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data + errorsize : 1.0 # uncertainties rescaling + fakenoise : off # on = to add random fluctuations to pseudo-data + rancutprob : 1.0 # Fraction of data to be included in the fit + rancutmethod: 0 # Method to select rancutprob data fraction + rancuttrnval: off # 0(1) to output training(valiation) chi2 in report + printpdf4gen: off # To print info on PDFs during minimization + +############################################################ +lhagrid: + nx : 150 + xmin: 1e-9 + xmed: 0.1 + xmax: 1.0 + nq : 50 + qmax: 1e5 + +############################################################ diff --git a/n3fit/runcards/PN3_DIS_example.yml b/n3fit/runcards/PN3_DIS_example.yml new file mode 100644 index 0000000000..a10e6f83b3 --- /dev/null +++ b/n3fit/runcards/PN3_DIS_example.yml @@ -0,0 +1,179 @@ +# +# Configuration file for NNPDF++ +# + +############################################################ +description: NNPDF3.1 NNLO fitted charm global dataset + +############################################################ +# frac: training fraction +# ewk: apply ewk k-factors +# sys: systematics treatment (see systypes) +experiments: +# Fixed target DIS + - experiment: NMC + datasets: + - { dataset: NMCPD, frac: 0.5 } + - { dataset: NMC, frac: 0.5 } + - experiment: SLAC + datasets: + - { dataset: SLACP, frac: 0.5} + - { dataset: SLACD, frac: 0.5} + - experiment: BCDMS + datasets: + - { dataset: BCDMSP, frac: 0.5} + - { dataset: BCDMSD, frac: 0.5} + - experiment: CHORUS + datasets: + - { dataset: CHORUSNU, frac: 0.5} + - { dataset: CHORUSNB, frac: 0.5} + - experiment: NTVDMN + datasets: + - { dataset: NTVNUDMN, frac: 0.5} + - { dataset: NTVNBDMN, frac: 0.5} +# EMC F2C data +# - experiment: EMCF2C +# datasets: +# - { dataset: EMCF2C, frac: 1.0} +# HERA data + - experiment: HERACOMB + datasets: + - { dataset: HERACOMBNCEM , frac: 0.5} + - { dataset: HERACOMBNCEP460, frac: 0.5} + - { dataset: HERACOMBNCEP575, frac: 0.5} + - { dataset: HERACOMBNCEP820, frac: 0.5} + - { dataset: HERACOMBNCEP920, frac: 0.5} + - { dataset: HERACOMBCCEM , frac: 0.5} + - { dataset: HERACOMBCCEP , frac: 0.5} +# Combined HERA charm production cross-sections + - experiment: HERAF2CHARM + datasets: + - { dataset: HERAF2CHARM, frac: 0.5} +# F2bottom data + - experiment: F2BOTTOM + datasets: + - { dataset: H1HERAF2B, frac: 1.0} + - { dataset: ZEUSHERAF2B, frac: 1.0} + + +############################################################ +datacuts: + t0pdfset : NNPDF31_nnlo_as_0118 # PDF set to generate t0 covmat + q2min : 3.49 # Q2 minimum + w2min : 12.5 # W2 minimum + combocuts : NNPDF31 # NNPDF3.0 final kin. cuts + jetptcut_tev : 0 # jet pt cut for tevatron + jetptcut_lhc : 0 # jet pt cut for lhc + wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions + jetycut_tev : 1e30 # jet rap. cut for tevatron + jetycut_lhc : 1e30 # jet rap. cut for lhc + dymasscut_min: 0 # dy inv.mass. min cut + dymasscut_max: 1e30 # dy inv.mass. max cut + jetcfactcut : 1e30 # jet cfact. cut + +############################################################ +theory: + theoryid: 53 # database id + +############################################################ +fitting: + + trvlseed: 1 + nnseed: 2 + mcseed: 3 + epochs: 20000 + save: off + savefile: 'weights.hd5' + load: off + loadfile: 'weights.hd5' + plot: off + + seed : 9453862133528 # set the seed for the random generator + genrep : on # on = generate MC replicas, off = use real data + rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc + fitmethod: NGA # Minimization algorithm + nmutants : 80 # Number of mutants for replica + paramtype: NN + nnodes : [2,5,3,1] + + parameters: # This defines the parameter dictionary that is passed to the Model Trainer + nodes_per_layer: [35, 25, 8] + activation_per_layer: ['tanh', 'tanh', 'linear'] + initializer: 'glorot_normal' + learning_rate: 0.01 + optimizer: 'Adadelta' + epochs: 40000 + pos_multiplier: 1.09 + pos_initial: 10.0 # believe the pos_lambda above + stopping_patience: 0.30 # percentage of the number of epochs + layer_type: 'dense' + dropout: 0.0 + + # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) + # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) + # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) + # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) + fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. + basis: + # remeber to change the name of PDF accordingly with fitbasis + # pos: on for NN squared + # mutsize: mutation size + # mutprob: mutation probability + # smallx, largex: preprocessing ranges + - { fl: sng, pos: off, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } + - { fl: g, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } + - { fl: v, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } + - { fl: v3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } + - { fl: v8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } + - { fl: t3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } + - { fl: t8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } + - { fl: cp, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } + +############################################################ +stopping: + stopmethod: LOOKBACK # Stopping method + lbdelta : 0 # Delta for look-back stopping + mingen : 0 # Minimum number of generations + window : 500 # Window for moving average + minchi2 : 3.5 # Minimum chi2 + minchi2exp: 6.0 # Minimum chi2 for experiments + nsmear : 200 # Smear for stopping + deltasm : 200 # Delta smear for stopping + rv : 2 # Ratio for validation stopping + rt : 0.5 # Ratio for training stopping + epsilon : 1e-6 # Gradient epsilon + +############################################################ +positivity: + posdatasets: + - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier + - { dataset: POSF2DW, poslambda: 1e6 } + - { dataset: POSF2S, poslambda: 1e6 } + - { dataset: POSFLL, poslambda: 1e6 } + - { dataset: POSDYU, poslambda: 1e10 } + - { dataset: POSDYD, poslambda: 1e10 } + - { dataset: POSDYS, poslambda: 1e10 } + +############################################################ +closuretest: + filterseed : 0 # Random seed to be used in filtering data partitions + fakedata : off # on = to use FAKEPDF to generate pseudo-data + fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data + errorsize : 1.0 # uncertainties rescaling + fakenoise : off # on = to add random fluctuations to pseudo-data + rancutprob : 1.0 # Fraction of data to be included in the fit + rancutmethod: 0 # Method to select rancutprob data fraction + rancuttrnval: off # 0(1) to output training(valiation) chi2 in report + printpdf4gen: off # To print info on PDFs during minimization + +############################################################ +lhagrid: + nx : 150 + xmin: 1e-9 + xmed: 0.1 + xmax: 1.0 + nq : 50 + qmax: 1e5 + +############################################################ +debug: off diff --git a/n3fit/runcards/PN3_Global_example.yml b/n3fit/runcards/PN3_Global_example.yml new file mode 100644 index 0000000000..5800fa9e1d --- /dev/null +++ b/n3fit/runcards/PN3_Global_example.yml @@ -0,0 +1,265 @@ +# +# Configuration file for NNPDF++ +# + +############################################################ +description: NNPDF3.1 NNLO fitted charm global dataset + +############################################################ +# frac: training fraction +# ewk: apply ewk k-factors +# sys: systematics treatment (see systypes) +experiments: +# Fixed target DIS + - experiment: NMC + datasets: + - { dataset: NMCPD, frac: 0.5 } + - { dataset: NMC, frac: 0.5 } + - experiment: SLAC + datasets: + - { dataset: SLACP, frac: 0.5} + - { dataset: SLACD, frac: 0.5} + - experiment: BCDMS + datasets: + - { dataset: BCDMSP, frac: 0.5} + - { dataset: BCDMSD, frac: 0.5} + - experiment: CHORUS + datasets: + - { dataset: CHORUSNU, frac: 0.5} + - { dataset: CHORUSNB, frac: 0.5} + - experiment: NTVDMN + datasets: + - { dataset: NTVNUDMN, frac: 0.5} + - { dataset: NTVNBDMN, frac: 0.5} +# EMC F2C data +# - experiment: EMCF2C +# datasets: +# - { dataset: EMCF2C, frac: 1.0} +# HERA data + - experiment: HERACOMB + datasets: + - { dataset: HERACOMBNCEM , frac: 0.5} + - { dataset: HERACOMBNCEP460, frac: 0.5} + - { dataset: HERACOMBNCEP575, frac: 0.5} + - { dataset: HERACOMBNCEP820, frac: 0.5} + - { dataset: HERACOMBNCEP920, frac: 0.5} + - { dataset: HERACOMBCCEM , frac: 0.5} + - { dataset: HERACOMBCCEP , frac: 0.5} +# Combined HERA charm production cross-sections + - experiment: HERAF2CHARM + datasets: + - { dataset: HERAF2CHARM, frac: 0.5} +# F2bottom data + - experiment: F2BOTTOM + datasets: + - { dataset: H1HERAF2B, frac: 1.0} + - { dataset: ZEUSHERAF2B, frac: 1.0} + # Fixed target Drell-Yan + - experiment: DYE886 + datasets: + - { dataset: DYE886R, frac: 1.0 } + - { dataset: DYE886P, frac: 0.5, cfac: [QCD] } + - experiment: DYE605 + datasets: + - { dataset: DYE605, frac: 0.5, cfac: [QCD] } +# Tevatron jets and W,Z production + - experiment: CDF + datasets: + - { dataset: CDFZRAP, frac: 1.0, cfac: [QCD] } + - { dataset: CDFR2KT, frac: 0.5, sys: 10 } + - experiment: D0 + datasets: + - { dataset: D0ZRAP, frac: 1.0, cfac: [QCD] } + - { dataset: D0WEASY, frac: 1.0, cfac: [QCD] } + - { dataset: D0WMASY, frac: 1.0, cfac: [QCD] } + # ATLAS + - experiment: ATLAS + datasets: +# ATLAS EWK + - { dataset: ATLASWZRAP36PB, frac: 1.0, cfac: [QCD] } + - { dataset: ATLASZHIGHMASS49FB, frac: 1.0, cfac: [QCD] } + - { dataset: ATLASLOMASSDY11EXT, frac: 1.0, cfac: [QCD] } + - { dataset: ATLASWZRAP11, frac: 0.5, cfac: [QCD] } +# ATLAS jets + - { dataset: ATLASR04JETS36PB, frac: 0.5, sys: 10 } + - { dataset: ATLASR04JETS2P76TEV, frac: 0.5, sys: 10 } + - { dataset: ATLAS1JET11, frac: 0.5, sys: 10 } +# ATLAS Z pt +# - { dataset: ATLASZPT7TEV, frac: 0.5, cfac: [QCD,NRM], sys: 10 } + - { dataset: ATLASZPT8TEVMDIST, frac: 0.5, cfac: [QCD], sys: 10 } + - { dataset: ATLASZPT8TEVYDIST, frac: 0.5, cfac: [QCD], sys: 10 } +# ATLAS top + - { dataset: ATLASTTBARTOT, frac: 1.0, cfac: [QCD] } + - { dataset: ATLASTOPDIFF8TEVTRAPNORM, frac: 1.0, cfac: [QCD] } +# CMS + - experiment: CMS + datasets: +# CMS EWK + - { dataset: CMSWEASY840PB, frac: 1.0, cfac: [QCD] } + - { dataset: CMSWMASY47FB, frac: 1.0, cfac: [QCD] } +# - { dataset: CMSWCHARMTOT, frac: 1.0 } +# - { dataset: CMSWCHARMRAT, frac: 1.0 } + - { dataset: CMSDY2D11, frac: 0.5, cfac: [QCD] } + - { dataset: CMSWMU8TEV, frac: 1.0, cfac: [QCD] } +# CMS jets + - { dataset: CMSJETS11, frac: 0.5, sys: 10 } + - { dataset: CMS1JET276TEV, frac: 0.5, sys: 10 } +# CMS Z pt + - { dataset: CMSZDIFF12, frac: 1.0, cfac: [QCD,NRM], sys: 10 } +# CMS ttbar + - { dataset: CMSTTBARTOT, frac: 1.0, cfac: [QCD] } + - { dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 1.0, cfac: [QCD] } + # LHCb + - experiment: LHCb + datasets: + - { dataset: LHCBZ940PB, frac: 1.0, cfac: [QCD] } + - { dataset: LHCBZEE2FB, frac: 1.0, cfac: [QCD] } + - { dataset: LHCBWZMU7TEV, frac: 1.0, cfac: [NRM,QCD] } + - { dataset: LHCBWZMU8TEV, frac: 1.0, cfac: [NRM,QCD] } + + +############################################################ +datacuts: + t0pdfset : NNPDF31_nnlo_as_0118 # PDF set to generate t0 covmat + q2min : 3.49 # Q2 minimum + w2min : 12.5 # W2 minimum + combocuts : NNPDF31 # NNPDF3.0 final kin. cuts + jetptcut_tev : 0 # jet pt cut for tevatron + jetptcut_lhc : 0 # jet pt cut for lhc + wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions + jetycut_tev : 1e30 # jet rap. cut for tevatron + jetycut_lhc : 1e30 # jet rap. cut for lhc + dymasscut_min: 0 # dy inv.mass. min cut + dymasscut_max: 1e30 # dy inv.mass. max cut + jetcfactcut : 1e30 # jet cfact. cut + +############################################################ +theory: + theoryid: 53 # database id + +hyperscan: + stopping: + min_epochs: 25e3 + max_epochs: 40e3 + min_patience: 0.10 + max_patience: 0.40 + positivity: + min_multiplier: 1.04 + max_multiplier: 1.1 + min_initial: 1.0 + max_initial: 50.0 + optimizer: + names: ['RMSprop', 'Adadelta'] + min_lr: 0.0005 + max_lr: 0.13 + architecture: + initializers: ['glorot_normal', 'glorot_uniform'] + max_drop: 0.05 + n_layers: [1,2] + min_units: 5 + max_units: 50 + activations: ['sigmoid', 'tanh'] + +############################################################ +fitting: + + trvlseed: 1 + nnseed: 2 + mcseed: 3 + epochs: 50000 + save: off + savefile: 'weights.hd5' + load: off + loadfile: 'weights.hd5' + plot: off + + seed : 9453862133528 # set the seed for the random generator + genrep : on # on = generate MC replicas, off = use real data + rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc + fitmethod: NGA # Minimization algorithm + ngen : 30000 # Maximum number of generations + nmutants : 80 # Number of mutants for replica + paramtype: NN + nnodes : [2,5,3,1] + + parameters: # This defines the parameter dictionary that is passed to the Model Trainer + nodes_per_layer: [50, 35, 25, 8] + activation_per_layer: ['tanh', 'sigmoid', 'sigmoid', 'linear'] + initializer: 'glorot_normal' + learning_rate: 0.002 + optimizer: 'Adadelta' + epochs: 50000 + pos_multiplier: 1.09 + pos_initial: 1.1 + stopping_patience: 0.3 # percentage of the number of epochs + layer_type: 'dense' + dropout: 0.006 + + # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) + # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) + # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) + # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) + fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. + basis: + # remeber to change the name of PDF accordingly with fitbasis + # pos: on for NN squared + # mutsize: mutation size + # mutprob: mutation probability + # smallx, largex: preprocessing ranges + - { fl: sng, pos: off, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } + - { fl: g, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } + - { fl: v, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } + - { fl: v3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } + - { fl: v8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } + - { fl: t3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } + - { fl: t8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } + - { fl: cp, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } + +############################################################ +stopping: + stopmethod: LOOKBACK # Stopping method + lbdelta : 0 # Delta for look-back stopping + mingen : 0 # Minimum number of generations + window : 500 # Window for moving average + minchi2 : 3.5 # Minimum chi2 + minchi2exp: 6.0 # Minimum chi2 for experiments + nsmear : 200 # Smear for stopping + deltasm : 200 # Delta smear for stopping + rv : 2 # Ratio for validation stopping + rt : 0.5 # Ratio for training stopping + epsilon : 1e-6 # Gradient epsilon + +############################################################ +positivity: + posdatasets: + - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier + - { dataset: POSF2DW, poslambda: 1e6 } + - { dataset: POSF2S, poslambda: 1e6 } + - { dataset: POSFLL, poslambda: 1e6 } + - { dataset: POSDYU, poslambda: 1e10 } + - { dataset: POSDYD, poslambda: 1e10 } + - { dataset: POSDYS, poslambda: 1e10 } + +############################################################ +closuretest: + filterseed : 0 # Random seed to be used in filtering data partitions + fakedata : off # on = to use FAKEPDF to generate pseudo-data + fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data + errorsize : 1.0 # uncertainties rescaling + fakenoise : off # on = to add random fluctuations to pseudo-data + rancutprob : 1.0 # Fraction of data to be included in the fit + rancutmethod: 0 # Method to select rancutprob data fraction + rancuttrnval: off # 0(1) to output training(valiation) chi2 in report + printpdf4gen: off # To print info on PDFs during minimization + +############################################################ +lhagrid: + nx : 150 + xmin: 1e-9 + xmed: 0.1 + xmax: 1.0 + nq : 50 + qmax: 1e5 + +############################################################ +debug: off diff --git a/n3fit/statistics.py b/n3fit/statistics.py new file mode 100644 index 0000000000..dce7be3fd2 --- /dev/null +++ b/n3fit/statistics.py @@ -0,0 +1,308 @@ +import numpy as np +from matplotlib import pyplot as pl + +class Stat_Info: + + def __init__(self, vl_model, vl_data, ndata_dict, threshold_positivity = 1e-6, + chi2_threshold = 3.0, save_all_each = 100, total_epochs = 0, + stopping_epochs = 7000, dont_stop = False): + """ + To instantiate the Stats_Info object we need: + - vl_model: The validation model, which has the same PDF layer as the training model + - vl_data: The validation exp data to compare to + - ndata_dict: A dictionary with the number of points of each experiment in the format: + exp: npoints in the training model for experiment exp + exp_vl : npoints in the training model for experiment exp + - chi2_threshold: at which training chi do we start checking for a stopping point? + - save_all_each: in which interval should we save all chi2 per experiment? + - stopping_epochs: after a growth in chi2 occurs, we activate the stopping monitor + if the chi2 doesnt go below the minimum after stopping_epochs, we stop + - dont_stop: dont_stop anyway + + """ # TODO: this function has outgrown its initial scope and some refactoring is needed + + self.vl_model = vl_model + self.vl_data = vl_data + + self.stop_now = False + self.nan_found = False + self.stopping_epochs = stopping_epochs + self.stopping_degree = 0 + self.total_epochs = total_epochs + self.epoch_of_the_stop = total_epochs + self.dont_stop = False + self.total_epochs = total_epochs + self.not_reloaded = True + self.save_all_each = save_all_each + + # Threshold for positivity + self.threshold_positivity = threshold_positivity + + + # Best model stats + self.threshold = chi2_threshold + + # Number of points per experiment + self.ndata_tr = max(ndata_dict['total_tr'], 1) + self.ndata_vl = max(ndata_dict['total_vl'], 1) + self.ndata_dict = ndata_dict + self.exp_names = [] + for i in ndata_dict.keys(): + if i.endswith('_vl') or i.startswith(('POS', 'total', 'ALL')): + continue + self.exp_names.append(i) + + self._clean_best_model() + self._clean_full_stats() + + def _clean_best_model(self): + self.best_chi2 = 1e9 + self.e_best_chi2 = 0 + self.w_best_chi2 = None + self.positivity = False + self.saved_history = None + + def _clean_full_stats(self): + # Complete stats + self.epochs = [] + self.tr_chi2 = [] + self.vl_chi2 = [] + self.all_tr_chi2 = {} + self.all_vl_chi2 = {} + self.all_epochs = [] + for exp in self.exp_names: + self.all_tr_chi2[exp] = [] + self.all_vl_chi2[exp] = [] + self.all_tr_chi2['Total'] = [] + self.all_vl_chi2['Total'] = [] + + def reset(self, stopping_epochs = None): + """ + Sometimes it might be necessary to reset the statistics + This only require resetting some of the variables and not all + """ + self._clean_full_stats() + self._clean_best_model() + self.stop_now = False + self.epoch_of_the_stop = self.total_epochs + self.not_reloaded = True + self.stopping_degree = 0 + if stopping_epochs: + self.stopping_epochs = stopping_epochs + + + def _compute_validation(self): + """ Evaluates the validation model + vl_list: a list of chi2, where the first element is the sum of all others + If there is only one experiment/dataset, vl_list is a float instead + + Returns the list already normalised to the number of points + """ + vl_list = self.vl_model.evaluate(x = None, y = self.vl_data, verbose = False, batch_size = 1) + vl_dict = {} + try: + total = vl_list[0] / self.ndata_vl + vl_list = vl_list[1:] + except IndexError: + total = vl_list / self.ndata_vl + vl_list = [] + + # If validation dont include all experiments, there is something wrong in the modle + # and since evaluate returns a list with no names, it is impossible to know which experiment corresponds to which chi2 + if len(vl_list) != len(self.exp_names): + vl_list = [0.0 for i in self.exp_names] + + + # This loop relies on the information that comes through the input dictionaries to be accurate + # It also relies in the ordered dictionaries introduced at some point in python 3.6/7 + for chi2, exp in zip(vl_list, self.exp_names): + vl_dict[exp] = chi2 / self.ndata_dict[exp] + + return total, vl_dict + + def _parse_training(self, training_info): + """ Receives an object containing the training chi2 and parses it + in the form of a { 'experiment' : chi2 } dictionary, where chi2 + is already normalised to the number of points per experiment """ + try: + hobj = training_info.history + except AttributeError: # So it works whether we pass the out our the out.history + hobj = training_info + + # Since the history object can have more than one loss (if epochs != 1) but it is always a list + # Save them as the mean + + total = np.mean(hobj['loss']) / self.ndata_tr + tr_chi2 = {} + for exp in self.exp_names: + chi2 = np.mean(hobj[exp + "_loss"]) / self.ndata_dict[exp] + tr_chi2[exp] = chi2 + + return total, tr_chi2 + + + + def monitor_chi2(self, training_info, epoch): + """ Function to be called at the end of every epoch. + Stores the total chi2 of the training set as well as the + total chi2 of the validation set. + If the training chi2 is below a certain threshold, + stores the state of the model which gave the minimum chi2 + as well as the epoch in which occurred + If the epoch is a multiple of save_all_each then we also save the per-exp chi2 + + Returns True if the run seems ok and False if a NaN is found + """ + vl_chi2, all_vl = self._compute_validation() + tr_chi2, all_tr = self._parse_training(training_info) + + if tr_chi2 != tr_chi2: + print(" > NaN found, stopping activated") + self.stop_now = True + self.nan_found = True + self.epoch_of_the_stop = epoch + self.reload_model() + if not self.w_best_chi2: + self.best_chi2 = 1e10 + return False + + if vl_chi2 == 0.0: # If there is no masking, training and validation are the same thing + vl_chi2 = tr_chi2 + all_vl = all_tr + + self.epochs.append(epoch) + self.tr_chi2.append(tr_chi2) + self.vl_chi2.append(vl_chi2) + + if tr_chi2 < self.threshold: + self.stopping_degree += 1 + + if vl_chi2 < self.best_chi2 and self.check_positivity(training_info): + self.positivity = True + self.best_chi2 = vl_chi2 + self.e_best_chi2 = epoch + self.w_best_chi2 = self.vl_model.get_weights() + self.stopping_degree = 0 + self.saved_history = training_info + elif not self.w_best_chi2: + self.stopping_degree = 0 + + if (epoch+1) % 100 == 0: + self.all_epochs.append(epoch + 1) + for exp in self.exp_names: + self.all_tr_chi2[exp].append(all_tr[exp]) + self.all_vl_chi2[exp].append(all_vl[exp]) + self.all_tr_chi2['Total'].append(tr_chi2) + self.all_vl_chi2['Total'].append(vl_chi2) + self.print_current_stats() + + if self.stopping_degree > self.stopping_epochs: + self.stop_now = True + self.epoch_of_the_stop = epoch + self.reload_model(force = True) + + return True + + def reload_model(self, force = False): + if (self.not_reloaded or force) and self.w_best_chi2: + self.not_reloaded = False + self.vl_model.set_weights(self.w_best_chi2) + + def good_stop(self): + """ Returns true if and only if the stopping criteria was actually fulfilled + and we didnt stop by error/nan """ + return self.positivity and not self.nan_found + + def stop_here(self): + if self.dont_stop: + return False + else: + return self.stop_now + + def loss(self): + return self.best_chi2 + + def tr_loss(self): + i = self.epochs.index(self.e_best_chi2) + return self.tr_chi2[i] + + def print_current_stats(self): + """ + Prints the last validation and training loss saved + """ + epoch = self.all_epochs[-1] + epochs = self.total_epochs + total = self.all_tr_chi2['Total'][-1] + total_str = "\nAt epoch {0}/{1}, total loss: {2}".format(epoch, epochs, total) + + partials = "" + for exp in self.exp_names: + partials += "{0}: {1:.3f} ".format(exp, self.all_tr_chi2[exp][-1]) + + print(total_str) + if partials: + print(" > Partial losses: " + partials) + + total_vl = self.all_vl_chi2['Total'][-1] + print(" > Validation loss at this point: {0}".format(total_vl)) + + def plot(self): + print("Plotting validation loss") + pl.plot(self.epochs, self.tr_chi2, label = 'Training') + pl.plot(self.epochs, self.vl_chi2, label = 'Validation') + pl.legend() + pl.show() + + + def check_positivity(self, training_info): + """ Checks whether positivity passes """ + chi2 = 0.0 + try: + hobj = training_info.history + except AttributeError: # So it works whether we pass the out our the out.history + hobj = training_info + + for key, item in hobj.items(): + if "POS" in key: + if item[-1] > 0.0: + chi2 += item[-1] + if chi2 > self.threshold_positivity: + return False + else: + return True + + + # Str functions + def positivity_pass(self): + try: + print(" \n\n> > > > > Saved history: {0}\n\n\n".format(self.saved_history.history)) + except: + pass + if self.positivity: + return "POS_PASS" + else: + return "POS_VETO" + + def preproc_str(self): + preprocessing = self.vl_model.get_layer('pdf_prepro') + alphabeta = preprocessing.get_weights() + file_list = ["Alpha Beta"] + for i in range(0, len(alphabeta), 2): + file_list.append( "\n{0} {1}".format(alphabeta[i][0], alphabeta[i+1][0])) + file_list.append('\n') + return file_list + + def chi2exps_str(self): + file_list = [] + nexp = len(self.exp_names) + for i, epoch in enumerate(self.all_epochs): + strout = "\nEpoch: {0} nexp {1}".format(epoch, nexp) + for exp in self.exp_names: + tr = self.all_tr_chi2[exp][i] + vl = self.all_vl_chi2[exp][i] + strout += "\n{0}: {1} {2}".format(exp, tr, vl) + tr = self.all_tr_chi2['Total'][i] + vl = self.all_vl_chi2['Total'][i] + strout += "\nTotal: training = {0} validation = {1}\n".format(tr, vl) + file_list.append(strout) + return file_list diff --git a/n3fit/writer.py b/n3fit/writer.py new file mode 100644 index 0000000000..bacd3064fa --- /dev/null +++ b/n3fit/writer.py @@ -0,0 +1,104 @@ +from ruamel import yaml +import numpy as np + +def evln2lha(evln): + # evln Basis {"PHT","SNG","GLU","VAL","V03","V08","V15","V24","V35","T03","T08","T15","T24","T35"}; + # lha Basis: {"TBAR","BBAR","CBAR","SBAR","UBAR","DBAR","GLUON","D","U","S","C","B","T","PHT"} + lha = np.zeros(evln.shape) + lha[13] = evln[0] + + lha[6] = evln[2] + + lha[8] = ( 10*evln[1] + + 30*evln[9] + 10*evln[10] + 5*evln[11] + 3*evln[12] + 2*evln[13] + + 10*evln[3] + 30*evln[4] + 10*evln[5] + 5*evln[6] + 3*evln[7] + 2*evln[8] ) / 120 + + lha[4] = ( 10*evln[1] + + 30*evln[9] + 10*evln[10] + 5*evln[11] + 3*evln[12] + 2*evln[13] + - 10*evln[3] - 30*evln[4] - 10*evln[5] - 5*evln[6] - 3*evln[7] - 2*evln[8] ) / 120 + + lha[7] = ( 10*evln[1] + - 30*evln[9] + 10*evln[10] + 5*evln[11] + 3*evln[12] + 2*evln[13] + + 10*evln[3] - 30*evln[4] + 10*evln[5] + 5*evln[6] + 3*evln[7] + 2*evln[8] ) / 120 + + lha[5] = ( 10*evln[1] + - 30*evln[9] + 10*evln[10] + 5*evln[11] + 3*evln[12] + 2*evln[13] + - 10*evln[3] + 30*evln[4] - 10*evln[5] - 5*evln[6] - 3*evln[7] - 2*evln[8] ) / 120 + + lha[9] = ( 10*evln[1] + - 20*evln[10] + 5*evln[11] + 3*evln[12] + 2*evln[13] + + 10*evln[3] - 20*evln[5] + 5*evln[6] + 3*evln[7] + 2*evln[8] ) / 120 + + lha[3] = ( 10*evln[1] + - 20*evln[10] + 5*evln[11] + 3*evln[12] + 2*evln[13] + - 10*evln[3] + 20*evln[5] - 5*evln[6] - 3*evln[7] - 2*evln[8] ) / 120 + + lha[10] = ( 10*evln[1] + - 15*evln[11] + 3*evln[12] + 2*evln[13] + + 10*evln[3] - 15*evln[6] + 3*evln[7] + 2*evln[8] ) / 120 + + lha[2] = ( 10*evln[1] + - 15*evln[11] + 3*evln[12] + 2*evln[13] + - 10*evln[3] + 15*evln[6] - 3*evln[7] - 2*evln[8] ) / 120 + + lha[11] = ( 5*evln[1] + - 6*evln[12] + evln[13] + + 5*evln[3] - 6*evln[7] + evln[8] ) / 60 + + lha[1] = ( 5*evln[1] + - 6*evln[12] + evln[13] + - 5*evln[3] + 6*evln[7] - evln[8] ) / 60 + + lha[12] = ( evln[1] + - evln[13] + + evln[3] - evln[8] ) / 12 + + lha[0] = ( evln[1] + - evln[13] + - evln[3] + evln[8] ) / 12 + return lha + + +def storefit(pdf_function, replica, replica_path, fitname, q20, nite, erf_vl, erf_tr, chi2, arc_lengths, all_chi2_lines, all_preproc_lines, pos_state): + + # build exportgrid + xgrid = np.array([1.00000000000000e-09, 1.29708482343957e-09, 1.68242903474257e-09, 2.18225315420583e-09, 2.83056741739819e-09, 3.67148597892941e-09, 4.76222862935315e-09, 6.17701427376180e-09, 8.01211109898438e-09, 1.03923870607245e-08, 1.34798064073805e-08, 1.74844503691778e-08, 2.26788118881103e-08, 2.94163370300835e-08, 3.81554746595878e-08, 4.94908707232129e-08, 6.41938295708371e-08, 8.32647951986859e-08, 1.08001422993829e-07, 1.40086873081130e-07, 1.81704331793772e-07, 2.35685551545377e-07, 3.05703512595323e-07, 3.96522309841747e-07, 5.14321257236570e-07, 6.67115245136676e-07, 8.65299922973143e-07, 1.12235875241487e-06, 1.45577995547683e-06, 1.88824560514613e-06, 2.44917352454946e-06, 3.17671650028717e-06, 4.12035415232797e-06, 5.34425265752090e-06, 6.93161897806315e-06, 8.99034258238145e-06, 1.16603030112258e-05, 1.51228312288769e-05, 1.96129529349212e-05, 2.54352207134502e-05, 3.29841683435992e-05, 4.27707053972016e-05, 5.54561248105849e-05, 7.18958313632514e-05, 9.31954227979614e-05, 1.20782367731330e-04, 1.56497209466554e-04, 2.02708936328495e-04, 2.62459799331951e-04, 3.39645244168985e-04, 4.39234443000422e-04, 5.67535660104533e-04, 7.32507615725537e-04, 9.44112105452451e-04, 1.21469317686978e-03, 1.55935306118224e-03, 1.99627451141338e-03, 2.54691493736552e-03, 3.23597510213126e-03, 4.09103436509565e-03, 5.14175977083962e-03, 6.41865096062317e-03, 7.95137940306351e-03, 9.76689999624100e-03, 1.18876139251364e-02, 1.43298947643919e-02, 1.71032279460271e-02, 2.02100733925079e-02, 2.36463971369542e-02, 2.74026915728357e-02, 3.14652506132444e-02, 3.58174829282429e-02, 4.04411060163317e-02, 4.53171343973807e-02, 5.04266347950069e-02, 5.57512610084339e-02, 6.12736019390519e-02, 6.69773829498255e-02, 7.28475589986517e-02, 7.88703322292727e-02, 8.50331197801452e-02, 9.13244910278679e-02, 9.77340879783772e-02, 1.04252538208639e-01, 1.10871366547237e-01, 1.17582909372878e-01, 1.24380233801599e-01, 1.31257062945031e-01, 1.38207707707289e-01, 1.45227005135651e-01, 1.52310263065985e-01, 1.59453210652156e-01, 1.66651954293987e-01, 1.73902938455578e-01, 1.81202910873333e-01, 1.88548891679097e-01, 1.95938145999193e-01, 2.03368159629765e-01, 2.10836617429103e-01, 2.18341384106561e-01, 2.25880487124065e-01, 2.33452101459503e-01, 2.41054536011681e-01, 2.48686221452762e-01, 2.56345699358723e-01, 2.64031612468684e-01, 2.71742695942783e-01, 2.79477769504149e-01, 2.87235730364833e-01, 2.95015546847664e-01, 3.02816252626866e-01, 3.10636941519503e-01, 3.18476762768082e-01, 3.26334916761672e-01, 3.34210651149156e-01, 3.42103257303627e-01, 3.50012067101685e-01, 3.57936449985571e-01, 3.65875810279643e-01, 3.73829584735962e-01, 3.81797240286494e-01, 3.89778271981947e-01, 3.97772201099286e-01, 4.05778573402340e-01, 4.13796957540671e-01, 4.21826943574548e-01, 4.29868141614175e-01, 4.37920180563205e-01, 4.45982706956990e-01, 4.54055383887562e-01, 4.62137890007651e-01, 4.70229918607142e-01, 4.78331176755675e-01, 4.86441384506059e-01, 4.94560274153348e-01, 5.02687589545177e-01, 5.10823085439086e-01, 5.18966526903235e-01, 5.27117688756998e-01, 5.35276355048428e-01, 5.43442318565661e-01, 5.51615380379768e-01, 5.59795349416641e-01, 5.67982042055800e-01, 5.76175281754088e-01, 5.84374898692498e-01, 5.92580729444440e-01, 6.00792616663950e-01, 6.09010408792398e-01, 6.17233959782450e-01, 6.25463128838069e-01, 6.33697780169485e-01, 6.41937782762089e-01, 6.50183010158361e-01, 6.58433340251944e-01, 6.66688655093089e-01, 6.74948840704708e-01, 6.83213786908386e-01, 6.91483387159697e-01, 6.99757538392251e-01, 7.08036140869916e-01, 7.16319098046733e-01, 7.24606316434025e-01, 7.32897705474271e-01, 7.41193177421404e-01, 7.49492647227008e-01, 7.57796032432224e-01, 7.66103253064927e-01, 7.74414231541921e-01, 7.82728892575836e-01, 7.91047163086478e-01, 7.99368972116378e-01, 8.07694250750291e-01, 8.16022932038457e-01, 8.24354950923382e-01, 8.32690244169987e-01, 8.41028750298844e-01, 8.49370409522600e-01, 8.57715163684985e-01, 8.66062956202683e-01, 8.74413732009721e-01, 8.82767437504206e-01, 8.91124020497459e-01, 8.99483430165226e-01, 9.07845617001021e-01, 9.16210532771399e-01, 9.24578130473112e-01, 9.32948364292029e-01, 9.41321189563734e-01, 9.49696562735755e-01, 9.58074441331298e-01, 9.66454783914439e-01, 9.74837550056705e-01, 9.83222700304978e-01, 9.91610196150662e-01, 1.00000000000000e+00]).reshape(-1, 1) + + result = pdf_function(xgrid) + lha = evln2lha(result.T).T + + data = { + 'replica' : replica, + 'q20' : q20, + 'xgrid': xgrid.T.tolist()[0], + 'labels': ['TBAR', 'BBAR', 'CBAR', 'SBAR', 'UBAR', 'DBAR', 'GLUON', 'D', 'U', 'S', 'C', 'B', 'T', 'PHT'], + 'pdfgrid': lha.tolist() + } + + with open(f'{replica_path}/{fitname}.exportgrid', 'w') as fs: + yaml.dump(data, fs) + + + # create empty files to make postfit happy + emptyfiles = ['chi2exps.log', f'{fitname}.params', f'{fitname}.sumrules'] + for fs in emptyfiles: + open(f'{replica_path}/{fs}', 'a').close() + + # Write chi2exp + with open(f'{replica_path}/chi2exps.log', 'w') as fs: + for line in all_chi2_lines: + fs.write(line) + + # Write preproc information + with open(f'{replica_path}/{fitname}.preproc','w') as fs: + for line in all_preproc_lines: + fs.write(line) + + + # create info file + arc_strings = [str(i) for i in arc_lengths] + arc_line = ' '.join(arc_strings) + with open(f'{replica_path}/{fitname}.fitinfo', 'w') as fs: + fs.write(f'{nite} {erf_vl} {erf_tr} {chi2} {pos_state}\n') + fs.write(arc_line) + From 010671159ada512e5bc11222230407d50dbbacd9 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 17 May 2019 10:54:09 +0100 Subject: [PATCH 325/429] changed provider in vp_setupfit.py --- validphys2/src/validphys/scripts/vp_setupfit.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/scripts/vp_setupfit.py b/validphys2/src/validphys/scripts/vp_setupfit.py index 98d9606351..c193231fd1 100644 --- a/validphys2/src/validphys/scripts/vp_setupfit.py +++ b/validphys2/src/validphys/scripts/vp_setupfit.py @@ -47,7 +47,7 @@ ]) SETUPFIT_PROVIDERS = ['validphys.filters', - 'validphys.theorycovariance', + 'validphys.theorycovariance.construction', 'validphys.results',] SETUPFIT_DEFAULTS = dict( From 65d473b2e7edb203f60eee286551775c684aa6bd Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 17 May 2019 13:54:45 +0100 Subject: [PATCH 326/429] adding shift vector to evec plots --- .../src/validphys/theorycovariance/tests.py | 26 ++++++++++++------- 1 file changed, 17 insertions(+), 9 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 6cc66b3f88..a73ded31b5 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -11,7 +11,7 @@ import numpy as np import scipy.linalg as la import matplotlib.pyplot as plt -from matplotlib.ticker import MaxNLocator +import matplotlib.patches as mpatches import pandas as pd from reportengine.checks import make_argcheck @@ -638,23 +638,31 @@ def eigenvector_plot(evals_nonzero_basis, shx_vector): processnames.append(proc) tripleindex = pd.MultiIndex.from_arrays([processnames, dsnames, ids], names = ("process", "dataset", "id")) + f = pd.DataFrame(f.values, index=tripleindex) + f.sort_index(0, inplace=True) + oldindex = f.index.tolist() + newindex = sorted(oldindex, key=_get_key) + f = f.reindex(newindex) fig, axes = plt.subplots(nrows=len(evecs), figsize=(10, 2*len(evecs))) fig.subplots_adjust(hspace=0.8) - fig.suptitle('Non-zero Eigenvectors') for ax, evec, eval in zip(axes.flatten(), evecs, evals): evec = pd.DataFrame(evec, index=tripleindex) - evec.sort_index(0, inplace=True) - oldindex = evec.index.tolist() - newindex = sorted(oldindex, key=_get_key) evec = evec.reindex(newindex) - ax.plot(evec.values) - ax.text(5, evec.max()/2, f'eigenvalue = {eval}') + ax.plot(-f.values, color="k", label="NNLO-NLO shift") + ax.plot(evec.values, label="Eigenvector") ticklocs, ticklabels, startlocs = matrix_plot_labels(evec) # Shift startlocs elements 0.5 to left so lines are between indexes startlocs_lines = [x-0.5 for x in startlocs] - ax.vlines(startlocs_lines, evec.min(), evec.max(), linestyles='dashed') + ax.vlines(startlocs_lines, ax.get_ylim()[0], + ax.get_ylim()[1], linestyles='dashed') ax.margins(x=0, y=0) - plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=10) + # Adding eigenvalue to legend + extraString = f'Eigenvalue = {eval}' + handles, labels = ax.get_legend_handles_labels() + handles.append(mpatches.Patch(color='none', label=extraString)) + ax.legend(handles=handles) + ax.set_xticks(ticklocs) + ax.set_xticklabels(ticklabels, rotation=45, fontsize=10) return fig @figure From ea8eb195bce149a90211211d63ce80fc40bb90a1 Mon Sep 17 00:00:00 2001 From: Emanuele Nocera Date: Mon, 20 May 2019 19:40:14 +0200 Subject: [PATCH 327/429] Added missing PLOTTING file fro CMS total xsec at 5 TeV --- nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT5TEV.yaml | 3 +++ 1 file changed, 3 insertions(+) create mode 100644 nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT5TEV.yaml diff --git a/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT5TEV.yaml b/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT5TEV.yaml new file mode 100644 index 0000000000..d98c29380d --- /dev/null +++ b/nnpdfcpp/data/commondata/PLOTTING_CMSTTBARTOT5TEV.yaml @@ -0,0 +1,3 @@ +dataset_label: "CMS $\\sigma_{tt}^{\\rm tot}$ 5 TeV" + +experiment: "CMS" From 62b17e984206d5f1aed32f5da94d365b0f319a0f Mon Sep 17 00:00:00 2001 From: juacrumar Date: Mon, 20 May 2019 21:53:22 +0200 Subject: [PATCH 328/429] passed the code through pylint, some warnings explicitly ignored: W1202,W1203,R0913,R0914,C0326,C0330 --- n3fit/ModelTrainer.py | 96 +++++++++++---------- n3fit/{statistics.py => Statistics.py} | 26 +++--- n3fit/backends/__init__.py | 4 +- n3fit/backends/keras_backend/MetaLayer.py | 43 ++++----- n3fit/backends/keras_backend/MetaModel.py | 20 ++--- n3fit/backends/keras_backend/base_layers.py | 8 +- n3fit/backends/keras_backend/debug_mode.py | 1 - n3fit/backends/keras_backend/operations.py | 2 - n3fit/constrains.py | 35 ++++---- n3fit/create_testset.py | 8 +- n3fit/filetrials.py | 2 +- n3fit/fit.py | 51 +++++------ n3fit/layers/DIS.py | 2 +- n3fit/layers/DY.py | 11 +-- n3fit/layers/Integration.py | 10 ++- n3fit/layers/Mask.py | 2 - n3fit/layers/Observable.py | 19 ++-- n3fit/layers/Preprocessing.py | 4 +- n3fit/layers/__init__.py | 1 - n3fit/model_gen.py | 24 +++--- n3fit/n3fit.py | 4 +- n3fit/reader.py | 28 +++--- n3fit/writer.py | 13 ++- 23 files changed, 198 insertions(+), 216 deletions(-) rename n3fit/{statistics.py => Statistics.py} (96%) diff --git a/n3fit/ModelTrainer.py b/n3fit/ModelTrainer.py index f33e8c48a8..96b327b1df 100644 --- a/n3fit/ModelTrainer.py +++ b/n3fit/ModelTrainer.py @@ -2,20 +2,19 @@ ModelTrainer Class: This class provides a wrapper around the fitting code and the generation of the Neural Network - When the "hyperparametizable"* function is called with a dictionary of parameters, it generates a NN - and subsequentially performs a fit. + When the "hyperparametizable"* function is called with a dictionary of parameters, + it generates a NN and subsequentially performs a fit. - The motivation behind this class is to minimise the amount of redundant calls of each hyperopt run, - in particular this allows to completely reset the NN at the beginning of each iteration reusing some - of the previous work. + The motivation behind this class is minimising the amount of redundant calls of each hyperopt + run, in particular this allows to completely reset the NN at the beginning of each iteration + reusing some of the previous work. *called in this way because it accept a dictionary of parameters which defines the Neural Network """ -from backends import MetaModel, clear_backend_state import model_gen import constrains -import statistics -from pdb import set_trace +import Statistics +from backends import MetaModel, clear_backend_state # If an experiment matches this name, it will not be included int he training TESTNAME = 'TEST' @@ -24,7 +23,7 @@ validation_multiplier = 0.5 class ModelTrainer: - def __init__(self, exp_info, pos_info, flavinfo, nnseed, + def __init__(self, exp_info, pos_info, flavinfo, nnseed, pass_status = 'ok', failed_status = 'fail', log = None, debug = False): """ @@ -94,7 +93,8 @@ def __init__(self, exp_info, pos_info, flavinfo, nnseed, self.no_validation = True new_dict = {} for key, item in self.ndata_dict.items(): - if key.endswith("_vl"): continue + if key.endswith("_vl"): + continue new_dict[key + "_vl"] = item self.ndata_dict.update(new_dict) self.validation['expdata'] = self.training['expdata'] @@ -105,28 +105,29 @@ def set_model_file(self, model_file): """ If a model_file is set the training model will try to get the weights form here """ self.model_file = model_file - def set_hyperopt(self, on, keys = []): + def set_hyperopt(self, on, keys = None): """ Set hyperopt options on and off (mostly suppresses some printing) """ + if keys is None: + keys = [] self.hyperkeys = keys - if on: + if on: self.print_summary = False self.mode_hyperopt = True else: self.print_summary = True self.mode_hyperopt = False - - ########################################################################## - # # Internal functions - # Never to be called from the dark and cold outside world - ########################################################################## + ########################################################################### + # # Internal functions # + # Never to be called from the dark and cold outside world # + ########################################################################### def _fill_the_dictionaries(self): """ This function fills the following dictionaries with fixed information, - training: data for the fit - validation: data which for the stopping - experimental: 'true' data, only used for reporting purposes - - ndata_dict: a dictionary containing 'name of experiment' : Number Of Point + - ndata_dict: a dictionary containing 'name of experiment' : Number Of Points the fixed information (i.e., non dependant on the parameters of the fit) is: - experimental data (expdata) @@ -159,7 +160,7 @@ def _fill_the_dictionaries(self): for pos_dict in self.pos_info: self.training['expdata'].append( pos_dict['expdata'] ) - self.ndata_dict[pos_dict['name']] = pos_dict['ndata'] + self.ndata_dict[pos_dict['name']] = pos_dict['ndata'] self.training['posdatasets'].append(pos_dict['name']) self.ndata_dict['total_tr'] = self.training['ndata'] @@ -170,7 +171,7 @@ def _model_generation(self): """ Fills the three dictionaries with the 'model' entry Note: before entering this function the dictionaries contain a list of inputs - and a list of outputs, but they are not connected. + and a list of outputs, but they are not connected. This function connects inputs with outputs by injecting the PDF Compiles the validation and experimental models with fakes optimizers and learning rate @@ -222,7 +223,8 @@ def _reset_observables(self): self.training[key] = [] self.validation[key] = [] self.experimental[key] = [] - if self.test_dict: self.test_dict[key] = [] + if self.test_dict: + self.test_dict[key] = [] def _pdf_injection(self, olist): """ @@ -232,17 +234,17 @@ def _pdf_injection(self, olist): return [o(self.layer_pdf) for o in olist] - ########################################################################### - # # Parametizable functions - # - # The functions defined in this block accept a 'params' dictionary which - # defines the fit and the behaviours of the Neural Networks - # - # These are all called by the function hyperparamizable below - # i.e., the most important function is hyperparametizable, which is a - # wrapper around all of these - ########################################################################### - def _generate_observables(self, params): + ############################################################################ + # # Parametizable functions # + # # + # The functions defined in this block accept a 'params' dictionary which # + # defines the fit and the behaviours of the Neural Networks # + # # + # These are all called by the function hyperparamizable below # + # i.e., the most important function is hyperparametizable, which is a # + # wrapper around all of these # + ############################################################################ + def _generate_observables(self, params): """ This functions fills the 3 dictionaries (training, validation, experimental) with the output layers and the loss functions @@ -257,7 +259,7 @@ def _generate_observables(self, params): self._reset_observables() self.log_info("Generating layers") - # two parameters are used here which might go to the hyperopt + # two parameters are used here which might go to the hyperopt pos_multiplier = params['pos_multiplier'] # how much to increase the positivity penalty each 100 epochs pos_initial = params['pos_initial'] @@ -274,7 +276,7 @@ def _generate_observables(self, params): if exp_dict['name'] == TESTNAME and self.test_dict: # If this is the test set, fill the dictionary and stop here self.test_dict['output'].append( exp_layer['output'] ) - self.test_dict['losses'].append( exp_layer['loss'] ) + self.test_dict['losses'].append( exp_layer['loss'] ) continue # Now save the observable layer, the losses and the experimental data @@ -290,7 +292,7 @@ def _generate_observables(self, params): for pos_dict in self.pos_info: if not self.mode_hyperopt: self.log_info("Generating positivity penalty for {0}".format(pos_dict['name'])) - pos_layer = model_gen.observable_generator(pos_dict, + pos_layer = model_gen.observable_generator(pos_dict, positivity_initial = pos_initial, positivity_multiplier = pos_multiplier ) # The input list is still common @@ -313,7 +315,7 @@ def _generate_pdf(self, params): Defines the internal variable layer_pdf this layer takes any input (x) and returns the pdf value for that x - if the sumrule is being imposed, it also updates input_list with the + if the sumrule is being imposed, it also updates input_list with the integrator_input tensor used to calculate the sumrule Returns: (layers, integrator_input) @@ -380,7 +382,7 @@ def _train_and_fit(self, validation_object, epochs): Trains the NN for the number of epochs given using validation_object as the stopping criteria - Every 100 epochs the positivitiy will be updated with + Every 100 epochs the positivitiy will be updated with self.training['pos_multiplier'] """ training_model = self.training['model'] @@ -411,8 +413,8 @@ def _train_and_fit(self, validation_object, epochs): def _hyperopt_override(self, params): # I love the smell of napalm in the morning - for key in self.hyperkeys: - item = params[key] + for hyperkey in self.hyperkeys: + item = params[hyperkey] if isinstance(item, dict): for key, value in item.items(): params[key] = value @@ -442,23 +444,25 @@ def hyperparametizable(self, params): # Fill the 3 dictionaries (training, validation, experimental) with the layers and losses self._generate_observables(params) - # Generate the pdf layer + # Generate the pdf layer layers, integrator_input = self._generate_pdf(params) # Model generation self._model_generation() # Generate the validation_object - # this object golds statistical information about the fit and it can be used to perform stopping + # this object golds statistical information about the fit and it can be used to perform stopping epochs = int(params['epochs']) stopping_patience = params['stopping_patience'] stopping_epochs = epochs*stopping_patience - # If the tr/vl splitting is == 1, there will be no points in the validation so we should use the training as the splitting + # If the tr/vl splitting is == 1, there will be no points in the validation so we use the training as val if self.no_validation: - validation_object = statistics.Stat_Info(self.training['model'], self.training['expdata'], self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs) + validation_object = Statistics.Stat_Info( self.training['model'], self.training['expdata'], + self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs ) else: - validation_object = statistics.Stat_Info(self.validation['model'], self.validation['expdata'], self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs) + validation_object = Statistics.Stat_Info(self.validation['model'], self.validation['expdata'], + self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs ) # Compile the training['model'] with the given parameters self._model_compilation(params) @@ -482,7 +486,7 @@ def hyperparametizable(self, params): # Compute the testing loss if it was given if self.test_dict: - # Generate the 'true' chi2 with the experimental model but only for models that were stopped + # Generate the 'true' chi2 with the experimental model but only for models that were stopped target_model = self.test_dict['model'] target_data = self.test_dict['expdata'] out_final = target_model.evaluate( x = None, y = target_data, verbose = False, batch_size = 1) @@ -503,7 +507,7 @@ def hyperparametizable(self, params): arc_lengths = None dict_out = { - 'loss' : final_loss, + 'loss' : final_loss, 'status' : passed, 'arc_lengths' : arc_lengths, 'training_loss' : validation_object.tr_loss(), diff --git a/n3fit/statistics.py b/n3fit/Statistics.py similarity index 96% rename from n3fit/statistics.py rename to n3fit/Statistics.py index dce7be3fd2..a24579d282 100644 --- a/n3fit/statistics.py +++ b/n3fit/Statistics.py @@ -25,12 +25,12 @@ def __init__(self, vl_model, vl_data, ndata_dict, threshold_positivity = 1e-6, self.vl_data = vl_data self.stop_now = False - self.nan_found = False + self.nan_found = False self.stopping_epochs = stopping_epochs self.stopping_degree = 0 self.total_epochs = total_epochs self.epoch_of_the_stop = total_epochs - self.dont_stop = False + self.dont_stop = dont_stop self.total_epochs = total_epochs self.not_reloaded = True self.save_all_each = save_all_each @@ -38,10 +38,9 @@ def __init__(self, vl_model, vl_data, ndata_dict, threshold_positivity = 1e-6, # Threshold for positivity self.threshold_positivity = threshold_positivity - # Best model stats self.threshold = chi2_threshold - + # Number of points per experiment self.ndata_tr = max(ndata_dict['total_tr'], 1) self.ndata_vl = max(ndata_dict['total_vl'], 1) @@ -108,7 +107,8 @@ def _compute_validation(self): vl_list = [] # If validation dont include all experiments, there is something wrong in the modle - # and since evaluate returns a list with no names, it is impossible to know which experiment corresponds to which chi2 + # and since evaluate returns a list with no names, + # it is impossible to know which experiment corresponds to which chi2 if len(vl_list) != len(self.exp_names): vl_list = [0.0 for i in self.exp_names] @@ -121,7 +121,7 @@ def _compute_validation(self): return total, vl_dict def _parse_training(self, training_info): - """ Receives an object containing the training chi2 and parses it + """ Receives an object containing the training chi2 and parses it in the form of a { 'experiment' : chi2 } dictionary, where chi2 is already normalised to the number of points per experiment """ try: @@ -144,11 +144,11 @@ def _parse_training(self, training_info): def monitor_chi2(self, training_info, epoch): """ Function to be called at the end of every epoch. - Stores the total chi2 of the training set as well as the + Stores the total chi2 of the training set as well as the total chi2 of the validation set. If the training chi2 is below a certain threshold, - stores the state of the model which gave the minimum chi2 - as well as the epoch in which occurred + stores the state of the model which gave the minimum chi2 + as well as the epoch in which occurred If the epoch is a multiple of save_all_each then we also save the per-exp chi2 Returns True if the run seems ok and False if a NaN is found @@ -156,7 +156,7 @@ def monitor_chi2(self, training_info, epoch): vl_chi2, all_vl = self._compute_validation() tr_chi2, all_tr = self._parse_training(training_info) - if tr_chi2 != tr_chi2: + if np.isnan(tr_chi2): print(" > NaN found, stopping activated") self.stop_now = True self.nan_found = True @@ -209,7 +209,7 @@ def reload_model(self, force = False): self.vl_model.set_weights(self.w_best_chi2) def good_stop(self): - """ Returns true if and only if the stopping criteria was actually fulfilled + """ Returns true if and only if the stopping criteria was actually fulfilled and we didnt stop by error/nan """ return self.positivity and not self.nan_found @@ -274,10 +274,6 @@ def check_positivity(self, training_info): # Str functions def positivity_pass(self): - try: - print(" \n\n> > > > > Saved history: {0}\n\n\n".format(self.saved_history.history)) - except: - pass if self.positivity: return "POS_PASS" else: diff --git a/n3fit/backends/__init__.py b/n3fit/backends/__init__.py index 08e5a27605..4139736ef8 100644 --- a/n3fit/backends/__init__.py +++ b/n3fit/backends/__init__.py @@ -1,5 +1,3 @@ -print("Using Keras backend") - from backends.keras_backend.debug_mode import set_initial_state, clear_backend_state from backends.keras_backend.MetaLayer import MetaLayer from backends.keras_backend.MetaModel import MetaModel @@ -7,4 +5,4 @@ from backends.keras_backend import losses from backends.keras_backend import operations - +print("Using Keras backend") diff --git a/n3fit/backends/keras_backend/MetaLayer.py b/n3fit/backends/keras_backend/MetaLayer.py index 2b166b7729..1d79983e25 100644 --- a/n3fit/backends/keras_backend/MetaLayer.py +++ b/n3fit/backends/keras_backend/MetaLayer.py @@ -1,30 +1,28 @@ """ - The class MetaLayer is an extension of the backend Layer class + The class MetaLayer is an extension of the backend Layer class with a number of methods and helpers to facilitate writing new custom layers in such a way that the new custom layer don't need to rely in anything backend-dependent - In other words, if you want to implement a new layer and need functions not included in this - MetaLayer it is better to add a new method which is just a call to the relevant backend-dependent function + In other words, if you want to implement a new layer and need functions not included here + it is better to add a new method which is just a call to the relevant backend-dependent function For instance: np_to_tensor is just a call to K.constant """ from keras import backend as K - from keras.engine.topology import Layer - from keras.initializers import Constant, RandomUniform, glorot_normal, glorot_uniform - from keras.constraints import MinMaxNorm -from keras.layers import Input - -import numpy as np - - class MetaLayer(Layer): """ This metalayer function must contain all backend-dependent functions + + In order to write a custom Keras layer you usually need to override: + - __init__ + - build + - call + - output_shape """ # Define in this dictionary new initializers as well as the arguments they accept (with default values if needed be) @@ -45,7 +43,7 @@ def builder_helper(self, name, kernel_shape, initializer, trainable = True, cons constraint: one of the constraints from this class (actually, any keras constraints) """ kernel = self.add_weight( - name = name, + name = name, shape = kernel_shape, initializer = initializer, trainable = trainable, @@ -53,9 +51,6 @@ def builder_helper(self, name, kernel_shape, initializer, trainable = True, cons ) return kernel - def build(self, input_shape): - super (MetaLayer, self).build(input_shape) - # Implemented initializers @staticmethod def init_constant(value): @@ -84,8 +79,8 @@ def select_initializer(ini_name, seed = None, **kwargs): # Implemented constraint def constraint_MinMaxWeight(self, min_value, max_value): - """ Small override to the MinMaxNorm Keras class to not look at the - absolute value + """ + Small override to the MinMaxNorm Keras class to not look at the absolute value This version looks at the sum instead of at the norm """ class MinMaxWeight(MinMaxNorm): @@ -116,8 +111,10 @@ def tensor_ones(self, shape, **kwargs): def many_replication(self, grid, replications, axis = 0, **kwargs): """ - Generates a tensor with one extra dimension which is a repetition of "grid" n times along the given axis - frm keras documentation: If x has shape (s1, s2, s3) and axis is 1, the output will have shape (s1, s2 * rep, s3) + Generates a tensor with one extra dimension: + a repetition of "grid" n times along the given axis + from keras documentation: + If x has shape (s1, s2, s3) and axis is 1, the output will have shape (s1, s2 * rep, s3) """ return K.repeat_elements(grid, rep = replications, axis = axis, **kwargs) @@ -134,9 +131,9 @@ def tensor_product(self, tensor_x, tensor_y, axes, **kwargs): return K.tf.tensordot(tensor_x, tensor_y, axes = axes, **kwargs) def transpose(self, tensor, **kwargs): - """ + """ Transpose a tensor - """ + """ return K.transpose(tensor, **kwargs) def boolean_mask(self, tensor, mask, axis = None, **kwargs): @@ -148,7 +145,6 @@ def boolean_mask(self, tensor, mask, axis = None, **kwargs): def concatenate(self, tensor_list, axis = -1, target_shape = None): """ Concatenates a list of numbers or tenosr into a bigger tensor - If the target shape is given, the output is reshaped to said shape """ concatenated_tensor = K.concatenate(tensor_list, axis = axis) @@ -165,6 +161,3 @@ def permute_dimensions(self, tensor, permutation, **kwargs): does the permutation: axis_0 -> axis_1, axis_1 -> axis_0, axis_2 -> axis_2 """ return K.permute_dimensions( tensor, permutation , **kwargs) - - - diff --git a/n3fit/backends/keras_backend/MetaModel.py b/n3fit/backends/keras_backend/MetaModel.py index 5b40a3756a..991ae24a72 100644 --- a/n3fit/backends/keras_backend/MetaModel.py +++ b/n3fit/backends/keras_backend/MetaModel.py @@ -4,37 +4,37 @@ Extension of the backend Model class containing some wrappers in order to absorb other backend-dependent calls """ +import numpy as np from keras.models import Model from keras.layers import Input import keras.optimizers as Kopt import keras.backend as K -import numpy as np -class MetaModel(Model): +class MetaModel(Model): """ The goal of this class is to absorb all keras dependent code """ # Define in this dictionary new optimizers as well as the arguments they accept (with default values if needed be) optimizers = { - 'RMSprop' : ( - Kopt.RMSprop, {'lr': 0.01} + 'RMSprop' : ( + Kopt.RMSprop, {'lr': 0.01} ), - 'Adam' : ( + 'Adam' : ( Kopt.Adam, {'lr' : 0.01} ), 'Adagrad' : ( Kopt.Adagrad, {} ), - 'Adadelta' : ( + 'Adadelta' : ( Kopt.Adadelta, {} ), 'Adamax' : ( Kopt.Adamax, {} ), 'Nadam' : ( Kopt.Nadam, {} ), 'Amsgrad' : ( - Kopt.Adam, {'lr' : 0.01, 'amsgrad' : True } - ), + Kopt.Adam, {'lr' : 0.01, 'amsgrad' : True } + ), } def __init__(self, input_tensors, output_tensors, extra_tensors = None): @@ -79,7 +79,7 @@ def _np_to_input(self, x): else: return x - def compile(self, optimizer_name = 'RMSprop', learning_rate = 0.05, loss = None): + def compile(self, optimizer_name = 'RMSprop', learning_rate = 0.05, loss = None, **kwargs): """ Compile the model given: - Optimizer @@ -100,4 +100,4 @@ def compile(self, optimizer_name = 'RMSprop', learning_rate = 0.05, loss = None) opt_args['clipnorm'] = 1.0 opt = opt_function(**opt_args) - super (MetaModel, self).compile(optimizer = opt, loss = loss) + super (MetaModel, self).compile(optimizer = opt, loss = loss, **kwargs) diff --git a/n3fit/backends/keras_backend/base_layers.py b/n3fit/backends/keras_backend/base_layers.py index 0855747432..d43fed50f7 100644 --- a/n3fit/backends/keras_backend/base_layers.py +++ b/n3fit/backends/keras_backend/base_layers.py @@ -5,7 +5,7 @@ 'name of the layer' : ( Layer_class, {dictionary of arguments: defaults} ) """ -from keras.layers import Dense, concatenate, Lambda, LSTM, Dropout +from keras.layers import Dense, Lambda, LSTM, Dropout, concatenate from keras.backend import expand_dims @@ -15,7 +15,7 @@ def LSTM_modified(**kwargs): """ the_lstm = LSTM(**kwargs) - ExpandDim = Lambda( + ExpandDim = Lambda( lambda x: expand_dims(x, axis = -1) ) def ReshapedLSTM(input_tensor): @@ -28,7 +28,7 @@ def ReshapedLSTM(input_tensor): layers = { - 'dense' : (Dense, { + 'dense' : (Dense, { 'input_shape' : (1,), 'kernel_initializer' : 'glorot_normal', 'units' : 5, @@ -39,7 +39,7 @@ def ReshapedLSTM(input_tensor): 'units' : 5, 'activation' : 'sigmoid', }), - 'dropout' : (Dropout, { + 'dropout' : (Dropout, { 'rate' : 0.0, }), } diff --git a/n3fit/backends/keras_backend/debug_mode.py b/n3fit/backends/keras_backend/debug_mode.py index 193e28628e..9f1808fbcb 100644 --- a/n3fit/backends/keras_backend/debug_mode.py +++ b/n3fit/backends/keras_backend/debug_mode.py @@ -35,4 +35,3 @@ def clear_backend_state(debug): inter_op_parallelism_threads=8) sess = K.tf.Session(graph=K.tf.get_default_graph(), config=session_conf) K.set_session(sess) - diff --git a/n3fit/backends/keras_backend/operations.py b/n3fit/backends/keras_backend/operations.py index accd0fc9be..b2d6ba3fe5 100644 --- a/n3fit/backends/keras_backend/operations.py +++ b/n3fit/backends/keras_backend/operations.py @@ -4,7 +4,6 @@ from keras.layers import multiply as keras_multiply from keras.layers import Input -from keras.models import Model from keras import backend as K def numpy_to_input(numpy_array): @@ -108,4 +107,3 @@ def op_smn(o_list, **kwargs): numer = op_add( o_list[:2] ) denom = op_add( o_list[2:] ) return op_ratio( [numer, denom], **kwargs ) - diff --git a/n3fit/constrains.py b/n3fit/constrains.py index dac4895b31..4337eafc90 100644 --- a/n3fit/constrains.py +++ b/n3fit/constrains.py @@ -2,7 +2,6 @@ Functions to imposem the Momentum sum rule on the PDFs """ import numpy as np -import pdb from layers import xDivide, MSR_Normalization, xIntegrator, xMultiply from backends import operations @@ -10,7 +9,7 @@ def gen_integration_input(nx): """ - Generates a np.array (shaped (nx,1)) of nx elements where the + Generates a np.array (shaped (nx,1)) of nx elements where the nx/2 first elements are a logspace between 0 and 0.1 and the rest a linspace from 0.1 to 0 """ @@ -24,15 +23,14 @@ def gen_integration_input(nx): for i in range(1,nx): spacing.append( np.abs(xgrid[i-1]-xgrid[i]) ) spacing.append(0.0) - + weights = [] for i in range(nx): weights.append( (spacing[i]+spacing[i+1])/2.0 ) weights_array = np.array(weights).reshape(nx, 1) return xgrid, weights_array - - + def msr_impose(fit_layer, final_pdf_layer, verbose = False): """ This function receives: @@ -50,21 +48,21 @@ def msr_impose(fit_layer, final_pdf_layer, verbose = False): # for that we need to multiply several flavours with 1/x division_by_x = xDivide(size = nx) def pdf_integrand(x): - res = operations.op_multiply([ - division_by_x(x), fit_layer(x) + res = operations.op_multiply([ + division_by_x(x), fit_layer(x) ]) return res # 3. Now create the integration layer (the layer that will simply integrate, given some weight integrator = xIntegrator(weights_array, input_shape = (nx,)) - + # 4. Now create the normalization by selecting the right integrations normalizer = MSR_Normalization(input_shape = (8,)) - + # 5. Make the xgrid numpy array into a backend input layer so it can be given xgrid_input = operations.numpy_to_input(xgrid) normalization = normalizer( - integrator( + integrator( pdf_integrand(xgrid_input) ) ) @@ -73,12 +71,12 @@ def ultimate_pdf(x): return operations.op_multiply_dim( [final_pdf_layer(x), normalization] ) if verbose: - only_int = integrator(pdf_integrand(xgrid_input)) - modelito = MetaModel(xgrid_input, only_int) - result = modelito.predict(x = None, steps = 1) +# only_int = integrator(pdf_integrand(xgrid_input)) +# modelito = MetaModel(xgrid_input, only_int) +# result = modelito.predict(x = None, steps = 1) print(" > > Generating model for the inyection layer which imposes MSR") - check_integration(ultimate_pdf, xgrid_input) + check_integration(ultimate_pdf, xgrid_input, verbose = True) # Save a reference to xgrid in ultimate_pdf, very useful for debugging ultimate_pdf.ref_xgrid = xgrid_input @@ -92,8 +90,8 @@ def check_integration(ultimate_pdf, integration_input, verbose = False): multiplier = xDivide(size = nx, output_dim = 14, div_list = range(3,9)) def pdf_integrand(x): - res = operations.op_multiply([ - multiplier(x), ultimate_pdf(x) + res = operations.op_multiply([ + multiplier(x), ultimate_pdf(x) ]) return res @@ -109,7 +107,7 @@ def pdf_integrand(x): v = result_integrated[3] v3 = result_integrated[4] v8 = result_integrated[5] - print(""" + print(""" > > > Int from 0 to 1 of: x*g(x) + x*sigma(x) = {0} v = {1} @@ -153,6 +151,3 @@ def integrand(xgrid_input, xgrid_input_prime): v8 = {4}""".format(*arc_lengths[:5])) return arc_lengths - - - diff --git a/n3fit/create_testset.py b/n3fit/create_testset.py index 1f1147104b..cc60303880 100644 --- a/n3fit/create_testset.py +++ b/n3fit/create_testset.py @@ -1,5 +1,5 @@ -import numpy as np import os +import numpy as np from reportengine.compat import yaml @@ -36,7 +36,7 @@ def test_runcard(runcard_file, datasets_out): else: runcard_exp.remove(experiment) - # Generate the new runcard + # Generate the new runcard # TODO: maybe there is a proper report-enginy way of doing this runcard_exp.append(test_experiment) new_runcard = "TEST-{0}".format(os.path.basename(runcard_file)) @@ -48,7 +48,7 @@ def test_runcard(runcard_file, datasets_out): print("\n > You can find your new runcard at {0}/{1}\n".format(os.getcwd(), new_runcard)) def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml"): - """ + """ This function gets the list of experiment and goes through the datasets reading their experiment type and range in x Depending on these, chooses the ones to leave out for testing @@ -100,7 +100,7 @@ def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml datasets_out.append(data_out['name']) all_experiments[dataset['exp']] -= 1 - if len(datasets_out) == 0: + if not datasets_out: print("No redundant datasets were found") else: test_runcard(runcard_file, datasets_out) diff --git a/n3fit/filetrials.py b/n3fit/filetrials.py index eb8002fe6f..5e66409401 100644 --- a/n3fit/filetrials.py +++ b/n3fit/filetrials.py @@ -4,7 +4,7 @@ Custom hyperopt trial object for persistent file storage """ import json -from hyperopt import Trials, base, space_eval +from hyperopt import Trials, space_eval def space_eval_trial(space, trial): for_eval = {} diff --git a/n3fit/fit.py b/n3fit/fit.py index ce02169567..fae05bbc7a 100644 --- a/n3fit/fit.py +++ b/n3fit/fit.py @@ -3,18 +3,18 @@ """ # Backend-independent imports -import numpy as np import sys import logging import os.path -from pdb import set_trace +import numpy as np log = logging.getLogger(__name__) # Action to be called by validphys -def fit( fitting, # All information defining the NN should come here in the "parameters" dict +# All information defining the NN should come here in the "parameters" dict +def fit( fitting, experiments, t0set, replica, replica_path, output_path, - theoryid, posdatasets, hyperscan = None, + theoryid, posdatasets, hyperscan = None, hyperopt = None, debug = False, create_test_card = None): @@ -46,11 +46,11 @@ def fit( fitting, # All information defining the NN should come here in the "par else: status_ok = "ok" - # Loading t0set from LHAPDF + # Loading t0set from LHAPDF if t0set is not None: t0pdfset = t0set.load_t0() - # First set the seed variables for + # First set the seed variables for # - Tr/Vl split # - Neural Network initialization # - Replica generation @@ -115,7 +115,7 @@ def fit( fitting, # All information defining the NN should come here in the "par pass_status = status_ok, log = log, debug = debug) - # Check whether we want to load weights from a file (maybe from a previous run) + # Check whether we want to load weights from a file (maybe from a previous run) # check whether the file exists, otherwise set it to none # reading the data up will be done by the model_trainer if fitting.get('load'): @@ -133,13 +133,13 @@ def fit( fitting, # All information defining the NN should come here in the "par # Read up the parameters of the NN from the runcard parameters = fitting.get('parameters') - ####################################################################### - # ### Hyperopt - # If hyperopt is active the parameters of NN will be substituted by the - # hyoperoptimizable variables. - # Hyperopt will run for --hyperopt number of iterations before leaving - # this block - ####################################################################### + ######################################################################## + # ### Hyperopt # + # If hyperopt is active the parameters of NN will be substituted by the# + # hyoperoptimizable variables. # + # Hyperopt will run for --hyperopt number of iterations before leaving # + # this block # + ######################################################################## if hyperopt: from HyperScanner import HyperScanner @@ -181,21 +181,21 @@ def fit( fitting, # All information defining the NN should come here in the "par # Now update the parameters with the ones found by the scan true_best = hyper.space_eval(parameters, best) the_scanner.update_dict(true_best) - params = the_scanner.dict() + parameters = the_scanner.dict() print("##################") print("Best model found: ") for k, i in true_best.items(): print(" {0} : {1} ".format(k,i)) ####################################################################### end of hyperopt - # Ensure hyperopt is off - the_model_trainer.set_hyperopt(on = False) + # Ensure hyperopt is off + the_model_trainer.set_hyperopt(on = False) - ########################################################################### - # ### Fit - # This function performs the actual fit, it reads all the parameters in the - # "parameters" dictionary, uses them to generate the NN and trains the net - ########################################################################### + ############################################################################# + # ### Fit # + # This function performs the actual fit, it reads all the parameters in the # + # "parameters" dictionary, uses them to generate the NN and trains the net # + ############################################################################# result = pdf_gen_and_train_function(parameters) # After the fit is run we get a 'result' dictionary with the following items: @@ -237,9 +237,10 @@ def pdf_function(export_xgrid): result = modelito.predict(x = None, steps = 1) return result # export PDF grid to file - storefit(pdf_function, replica_number, replica_path_set, output_path.stem, theoryid.get_description().get('Q0')**2, - validation_object.epoch_of_the_stop, - validation_object.loss(), validation_object.tr_loss(), true_chi2, arc_lengths, allchi2_lines, preproc_lines, validation_object.positivity_pass()) + storefit(pdf_function, replica_number, replica_path_set, output_path.stem, + theoryid.get_description().get('Q0')**2, validation_object.epoch_of_the_stop, + validation_object.loss(), validation_object.tr_loss(), true_chi2, + arc_lengths, allchi2_lines, preproc_lines, validation_object.positivity_pass()) # Save the weights to some file diff --git a/n3fit/layers/DIS.py b/n3fit/layers/DIS.py index 263dc8a701..44066a073d 100644 --- a/n3fit/layers/DIS.py +++ b/n3fit/layers/DIS.py @@ -1,5 +1,5 @@ -from layers.Observable import Observable import numpy as np +from layers.Observable import Observable class DIS(Observable): def gen_basis(self, basis): diff --git a/n3fit/layers/DY.py b/n3fit/layers/DY.py index 8ea53f5ee2..b795ddc241 100644 --- a/n3fit/layers/DY.py +++ b/n3fit/layers/DY.py @@ -1,5 +1,5 @@ -from layers.Observable import Observable import numpy as np +from layers.Observable import Observable class DY(Observable): @@ -8,7 +8,7 @@ def gen_basis(self, basis): self.basis = basis_to_pairs self.basis_size = len(self.basis) - def call(self, pdf_in): + def call(self, pdf_in): # This is a convoluted way of applying a mask, but it is faster # mask-version below lumi_fun = [] @@ -17,7 +17,8 @@ def call(self, pdf_in): for i,j in self.basis: lumi_fun.append( self.tensor_product(pdfT[i], pdfT[j], axes = 0) ) - pdfXpdf = self.concatenate( lumi_fun, axis = 0, target_shape = (self.basis_size, self.xgrid_size, self.xgrid_size) ) + pdfXpdf = self.concatenate( lumi_fun, axis = 0, + target_shape = (self.basis_size, self.xgrid_size, self.xgrid_size) ) result = self.tensor_product(self.fktable, pdfXpdf, axes = 3) return result @@ -31,8 +32,8 @@ def gen_basis(self, basis): else: self.basis = np.ones((self.nfl, self.nfl), dtype = bool) - def call(self, x_raw): - lfun = self.tensor_product(x_raw, x_raw, axes = 0) + def call(self, pdf_in): + lfun = self.tensor_product(pdf_in, pdf_in, axes = 0) lfunT = self.permute_dimensions(lfun, (3,1,2,0)) x = self.boolean_mask(lfunT, self.basis, axis = 0) result = self.tensor_product(self.fktable, x, axes = 3) diff --git a/n3fit/layers/Integration.py b/n3fit/layers/Integration.py index b1fae2e1c4..07bb9d30e5 100644 --- a/n3fit/layers/Integration.py +++ b/n3fit/layers/Integration.py @@ -6,7 +6,9 @@ class xDivide(MetaLayer): By default: dimension = 8 dividing the entries corresponding to v, v3, v8 """ - def __init__(self, output_dim = 8, div_list = [2,3,4], size = 1000, **kwargs): + def __init__(self, output_dim = 8, div_list = None, size = 1000, **kwargs): + if div_list is None: + div_list = [2,3,4] self.output_dim = output_dim self.div_list = div_list self.one = self.tensor_ones( (size, 1) ) @@ -32,7 +34,9 @@ class xMultiply(MetaLayer): By default: dimension = 8 multiply all entries but v, v3, v8 """ - def __init__(self, output_dim = 8, div_list = [2,3,4], size = 1000, **kwargs): + def __init__(self, output_dim = 8, div_list = None, size = 1000, **kwargs): + if div_list is None: + div_list = [2,3,4] self.output_dim = output_dim self.div_list = div_list self.one = self.tensor_ones( (size, 1) ) @@ -90,7 +94,7 @@ def call(self, integrated): pdf_sr = self.concatenate([ self.one, # photon self.one, # sigma - (self.one - x[0])/x[1], # g + (self.one - x[0])/x[1], # g self.three/x[2], # v self.one/x[3], # v3 self.three/x[4], # v8 diff --git a/n3fit/layers/Mask.py b/n3fit/layers/Mask.py index 06d624ee6e..6b62b60f4b 100644 --- a/n3fit/layers/Mask.py +++ b/n3fit/layers/Mask.py @@ -21,5 +21,3 @@ def compute_output_shape(self, input_shape): def call(self, prediction_in): return self.boolean_mask(self.kernel*prediction_in, self.mask) - - diff --git a/n3fit/layers/Observable.py b/n3fit/layers/Observable.py index c951b15033..c08e69ab49 100644 --- a/n3fit/layers/Observable.py +++ b/n3fit/layers/Observable.py @@ -1,21 +1,18 @@ -from sys import exit -import numpy as np +import sys from backends import MetaLayer class Observable(MetaLayer): """ This class is the parent of the DIS and DY convolutions. - All backend-dependent code necessary for the convolutions + All backend-dependent code necessary for the convolutions is (must be) concentrated here - + The methods gen_basis and call must be overriden by the observables where - - gen_basis: it is called by the initializer and generates the mask between + - gen_basis: it is called by the initializer and generates the mask between fktables and pdfs - call: this is what does the actual operation - """ - def __init__(self, output_dim, fktable, basis = None, nfl = 14, **kwargs): self.nfl = nfl @@ -24,7 +21,7 @@ def __init__(self, output_dim, fktable, basis = None, nfl = 14, **kwargs): self.xgrid_size = self.fktable.shape[-1] self.gen_basis(basis) - + super(MetaLayer, self).__init__(**kwargs) @@ -34,10 +31,8 @@ def compute_output_shape(self, input_shape): # Overridables def gen_basis(self, basis): print("{0} must implement the method gen_basis".format(self)) - exit(-1) + sys.exit(-1) def call(self, pdf_in): print("{0} must implement the method gen_basis".format(self)) - exit(-1) - - + sys.exit(-1) diff --git a/n3fit/layers/Preprocessing.py b/n3fit/layers/Preprocessing.py index d2228280a2..5858937c3d 100644 --- a/n3fit/layers/Preprocessing.py +++ b/n3fit/layers/Preprocessing.py @@ -1,5 +1,4 @@ from backends import MetaLayer -import numpy as np BASIS_SIZE = 8 class Preprocessing(MetaLayer): @@ -71,7 +70,7 @@ def call(self, x_raw): pdf_raw_list = [ 0*x[0], # photon x[0], # sigma - x[1], # g + x[1], # g x[2], # v x[3], # v3 x[4], # v8 @@ -86,4 +85,3 @@ def call(self, x_raw): ] pdf = self.concatenate( pdf_raw_list, target_shape = (self.output_dim, -1) ) return self.transpose(pdf) - diff --git a/n3fit/layers/__init__.py b/n3fit/layers/__init__.py index 4fd194ccd1..b8bf8847f5 100644 --- a/n3fit/layers/__init__.py +++ b/n3fit/layers/__init__.py @@ -4,4 +4,3 @@ from layers.DY import DY from layers.Mask import Mask from backends import MetaLayer - diff --git a/n3fit/model_gen.py b/n3fit/model_gen.py index 022df86d6d..efc86f23bc 100644 --- a/n3fit/model_gen.py +++ b/n3fit/model_gen.py @@ -6,7 +6,6 @@ pdfNN_layer_generator: Generates the PDF NN layer to be fitted """ - from layers import DIS from layers import DY from layers import Mask @@ -14,20 +13,19 @@ from backends import operations from backends import losses -from backends import MetaModel, MetaLayer +from backends import MetaLayer from backends import base_layer_selector, concatenate, Lambda -import numpy as np -import pdb -def observable_generator(spec_dict, positivity_initial = None, positivity_multiplier = 1.05, verbose = False, positivity_steps = 300): +def observable_generator(spec_dict, positivity_initial = None, positivity_multiplier = 1.05, + verbose = False, positivity_steps = 300): """ - Receives a spec object (can be either a dataset or an experiment) + Receives a spec object (can be either a dataset or an experiment) Takes some optional arguments: positivity_initial: if given, set this number as the positivity multiplier for epoch 1 positivity_multiplier: how much the positivity increases every 100 steps - positivity_steps: if positivity_initial is not given, computes the initial by assuming we want, after - 100*positivity_steps epochs, to have the lambda of the runcard + positivity_steps: if positivity_initial is not given, computes the initial by assuming we want, + after 100**positivity_steps epochs, to have the lambda of the runcard returns a tuple with: (input_layer, obs_layer, loss function, exp_data) - input_layer: list of input layers @@ -142,12 +140,16 @@ def out_vl(pdf_layer): def pdfNN_layer_generator(inp = 2, - nodes = [15, 8], activations = ['tanh', 'linear'], initializer_name = 'glorot_normal', layer_type = 'dense', + nodes = None, activations = None, initializer_name = 'glorot_normal', layer_type = 'dense', flav_info = None, out = 14, seed = None, dropout = 0.0): """ Generates a NN that takes as input the xgrid value and outputs the basis of 14 PDFs fk tables use """ + if nodes is None: + nodes = [15,8] + if activations is None: + activations = ['tanh', 'linear'] # Safety check ln = len(nodes) la = len(activations) @@ -161,7 +163,7 @@ def pdfNN_layer_generator(inp = 2, # If dropout == 0, don't add dropout layer if dropout == 0.0: dropme = -99 - else: # Add the dropout to the second to last layer + else: # Add the dropout to the second to last layer dropme = ln-2 # Layer generation @@ -174,7 +176,7 @@ def pdfNN_layer_generator(inp = 2, init = MetaLayer.select_initializer(initializer_name, seed=seed+i) arguments = {'kernel_initializer' : init, 'units' : int(units), 'activation' : activation, - 'input_shape' : (pre,), + 'input_shape' : (pre,), } # Arguments that are not used by a given layer are just dropped tmpl = base_layer_selector(layer_type, **arguments) diff --git a/n3fit/n3fit.py b/n3fit/n3fit.py index 4dc3878273..8f4be78674 100755 --- a/n3fit/n3fit.py +++ b/n3fit/n3fit.py @@ -8,7 +8,6 @@ import shutil import pathlib import logging -import hashlib import warnings import argparse @@ -114,7 +113,7 @@ class N3FitApp(App): config_class = N3FitConfig def __init__(self): - super(N3FitApp, self).__init__(name='n3fit', + super(N3FitApp, self).__init__(name='n3fit', providers=N3FIT_PROVIDERS) @property @@ -156,7 +155,6 @@ def run(self): replicas = list(range(replica, self.args['replica_range']+1)) else: replicas = [replica] - from pdb import set_trace self.environment.replica = replicas self.environment.hyperopt = self.args['hyperopt'] if self.args['create_test_card']: diff --git a/n3fit/reader.py b/n3fit/reader.py index 0f33b2ec21..5d82bc7bd2 100644 --- a/n3fit/reader.py +++ b/n3fit/reader.py @@ -1,12 +1,11 @@ """ Library of function for reading NNPDF objects """ -import numpy as np -from pdb import set_trace import hashlib import copy +import numpy as np -from NNPDF import FKTable, DataSet, FKSet, CommonData, RandomGenerator +from NNPDF import RandomGenerator from validphys.core import ExperimentSpec as vp_Exp from validphys.core import DataSetSpec as vp_Dataset @@ -22,14 +21,14 @@ def make_tr_val_mask(datasets, exp_name, seed): ndata = dataset_dict['ndata'] frac = dataset_dict['frac'] trmax = int(frac*ndata) - mask = np.concatenate([np.ones(trmax, dtype=np.bool), + mask = np.concatenate([np.ones(trmax, dtype=np.bool), np.zeros(ndata-trmax, dtype=np.bool)]) np.random.shuffle(mask) trmask_partial.append(mask) - vlmask_partial.append(mask == False) + vlmask_partial.append(mask == False) trmask = np.concatenate(trmask_partial) - vlmask = np.concatenate(vlmask_partial) - + vlmask = np.concatenate(vlmask_partial) + return trmask, vlmask def fk_parser(fk, is_hadronic = False): @@ -112,7 +111,7 @@ def common_data_reader_dataset(dataset_c, dataset_spec): how_many = dataset_c.GetNSigma() dict_fktables = [] for i in range(how_many): - fktable = dataset_c.GetFK(i) + fktable = dataset_c.GetFK(i) dict_fktables.append(fk_parser(fktable, dataset_c.IsHadronic())) dataset_dict = { @@ -135,7 +134,7 @@ def common_data_reader_experiment(experiment_c, experiment_spec): -def common_data_reader(spec, t0pdfset, replica_seeds = [], trval_seeds = [0]): +def common_data_reader(spec, t0pdfset, replica_seeds = None, trval_seeds = None): """ Wrapper to read the information from validphys object This function receives either a validphyis experiment or dataset objects @@ -146,11 +145,16 @@ def common_data_reader(spec, t0pdfset, replica_seeds = [], trval_seeds = [0]): - ndata: number of data points - experiment: True/False, is it an experiment? """ + if replica_seeds is None: + replica_seeds = [] + if trval_seeds is None: + trval_seeds = [0] # TODO # This whole thing would be much more clear / streamlined if # - The c experiment/dataset object had all the required information for the fit # (i.e., there is a swig conversion for everything, right now missing the operator) - # - The python object stored the load within the spec when doing spec.load() this way it would not be necessary to load twice + # - The python object stored the load within the spec when doing spec.load() + # this way it would not be necessary to load twice # - The python object had all necessary information (same as point 1 but inverted) spec_c = spec.load() @@ -197,12 +201,12 @@ def common_data_reader(spec, t0pdfset, replica_seeds = [], trval_seeds = [0]): covmat_tr = covmat[tr_mask].T[tr_mask] ndata_tr = np.count_nonzero(tr_mask) expdata_tr = expdata[tr_mask].reshape(1, ndata_tr) - invcovmat_tr = np.linalg.inv(covmat_tr) + invcovmat_tr = np.linalg.inv(covmat_tr) covmat_vl = covmat[vl_mask].T[vl_mask] ndata_vl = np.count_nonzero(vl_mask) expdata_vl = expdata[vl_mask].reshape(1, ndata_vl) - invcovmat_vl = np.linalg.inv(covmat_vl) + invcovmat_vl = np.linalg.inv(covmat_vl) dict_out = { 'datasets' : datasets, diff --git a/n3fit/writer.py b/n3fit/writer.py index bacd3064fa..3d8d255683 100644 --- a/n3fit/writer.py +++ b/n3fit/writer.py @@ -59,24 +59,25 @@ def evln2lha(evln): return lha -def storefit(pdf_function, replica, replica_path, fitname, q20, nite, erf_vl, erf_tr, chi2, arc_lengths, all_chi2_lines, all_preproc_lines, pos_state): - +def storefit(pdf_function, replica, replica_path, fitname, q20, nite, erf_vl, erf_tr, chi2, + arc_lengths, all_chi2_lines, all_preproc_lines, pos_state): + # build exportgrid xgrid = np.array([1.00000000000000e-09, 1.29708482343957e-09, 1.68242903474257e-09, 2.18225315420583e-09, 2.83056741739819e-09, 3.67148597892941e-09, 4.76222862935315e-09, 6.17701427376180e-09, 8.01211109898438e-09, 1.03923870607245e-08, 1.34798064073805e-08, 1.74844503691778e-08, 2.26788118881103e-08, 2.94163370300835e-08, 3.81554746595878e-08, 4.94908707232129e-08, 6.41938295708371e-08, 8.32647951986859e-08, 1.08001422993829e-07, 1.40086873081130e-07, 1.81704331793772e-07, 2.35685551545377e-07, 3.05703512595323e-07, 3.96522309841747e-07, 5.14321257236570e-07, 6.67115245136676e-07, 8.65299922973143e-07, 1.12235875241487e-06, 1.45577995547683e-06, 1.88824560514613e-06, 2.44917352454946e-06, 3.17671650028717e-06, 4.12035415232797e-06, 5.34425265752090e-06, 6.93161897806315e-06, 8.99034258238145e-06, 1.16603030112258e-05, 1.51228312288769e-05, 1.96129529349212e-05, 2.54352207134502e-05, 3.29841683435992e-05, 4.27707053972016e-05, 5.54561248105849e-05, 7.18958313632514e-05, 9.31954227979614e-05, 1.20782367731330e-04, 1.56497209466554e-04, 2.02708936328495e-04, 2.62459799331951e-04, 3.39645244168985e-04, 4.39234443000422e-04, 5.67535660104533e-04, 7.32507615725537e-04, 9.44112105452451e-04, 1.21469317686978e-03, 1.55935306118224e-03, 1.99627451141338e-03, 2.54691493736552e-03, 3.23597510213126e-03, 4.09103436509565e-03, 5.14175977083962e-03, 6.41865096062317e-03, 7.95137940306351e-03, 9.76689999624100e-03, 1.18876139251364e-02, 1.43298947643919e-02, 1.71032279460271e-02, 2.02100733925079e-02, 2.36463971369542e-02, 2.74026915728357e-02, 3.14652506132444e-02, 3.58174829282429e-02, 4.04411060163317e-02, 4.53171343973807e-02, 5.04266347950069e-02, 5.57512610084339e-02, 6.12736019390519e-02, 6.69773829498255e-02, 7.28475589986517e-02, 7.88703322292727e-02, 8.50331197801452e-02, 9.13244910278679e-02, 9.77340879783772e-02, 1.04252538208639e-01, 1.10871366547237e-01, 1.17582909372878e-01, 1.24380233801599e-01, 1.31257062945031e-01, 1.38207707707289e-01, 1.45227005135651e-01, 1.52310263065985e-01, 1.59453210652156e-01, 1.66651954293987e-01, 1.73902938455578e-01, 1.81202910873333e-01, 1.88548891679097e-01, 1.95938145999193e-01, 2.03368159629765e-01, 2.10836617429103e-01, 2.18341384106561e-01, 2.25880487124065e-01, 2.33452101459503e-01, 2.41054536011681e-01, 2.48686221452762e-01, 2.56345699358723e-01, 2.64031612468684e-01, 2.71742695942783e-01, 2.79477769504149e-01, 2.87235730364833e-01, 2.95015546847664e-01, 3.02816252626866e-01, 3.10636941519503e-01, 3.18476762768082e-01, 3.26334916761672e-01, 3.34210651149156e-01, 3.42103257303627e-01, 3.50012067101685e-01, 3.57936449985571e-01, 3.65875810279643e-01, 3.73829584735962e-01, 3.81797240286494e-01, 3.89778271981947e-01, 3.97772201099286e-01, 4.05778573402340e-01, 4.13796957540671e-01, 4.21826943574548e-01, 4.29868141614175e-01, 4.37920180563205e-01, 4.45982706956990e-01, 4.54055383887562e-01, 4.62137890007651e-01, 4.70229918607142e-01, 4.78331176755675e-01, 4.86441384506059e-01, 4.94560274153348e-01, 5.02687589545177e-01, 5.10823085439086e-01, 5.18966526903235e-01, 5.27117688756998e-01, 5.35276355048428e-01, 5.43442318565661e-01, 5.51615380379768e-01, 5.59795349416641e-01, 5.67982042055800e-01, 5.76175281754088e-01, 5.84374898692498e-01, 5.92580729444440e-01, 6.00792616663950e-01, 6.09010408792398e-01, 6.17233959782450e-01, 6.25463128838069e-01, 6.33697780169485e-01, 6.41937782762089e-01, 6.50183010158361e-01, 6.58433340251944e-01, 6.66688655093089e-01, 6.74948840704708e-01, 6.83213786908386e-01, 6.91483387159697e-01, 6.99757538392251e-01, 7.08036140869916e-01, 7.16319098046733e-01, 7.24606316434025e-01, 7.32897705474271e-01, 7.41193177421404e-01, 7.49492647227008e-01, 7.57796032432224e-01, 7.66103253064927e-01, 7.74414231541921e-01, 7.82728892575836e-01, 7.91047163086478e-01, 7.99368972116378e-01, 8.07694250750291e-01, 8.16022932038457e-01, 8.24354950923382e-01, 8.32690244169987e-01, 8.41028750298844e-01, 8.49370409522600e-01, 8.57715163684985e-01, 8.66062956202683e-01, 8.74413732009721e-01, 8.82767437504206e-01, 8.91124020497459e-01, 8.99483430165226e-01, 9.07845617001021e-01, 9.16210532771399e-01, 9.24578130473112e-01, 9.32948364292029e-01, 9.41321189563734e-01, 9.49696562735755e-01, 9.58074441331298e-01, 9.66454783914439e-01, 9.74837550056705e-01, 9.83222700304978e-01, 9.91610196150662e-01, 1.00000000000000e+00]).reshape(-1, 1) result = pdf_function(xgrid) lha = evln2lha(result.T).T - data = { + data = { 'replica' : replica, 'q20' : q20, 'xgrid': xgrid.T.tolist()[0], 'labels': ['TBAR', 'BBAR', 'CBAR', 'SBAR', 'UBAR', 'DBAR', 'GLUON', 'D', 'U', 'S', 'C', 'B', 'T', 'PHT'], 'pdfgrid': lha.tolist() } - + with open(f'{replica_path}/{fitname}.exportgrid', 'w') as fs: - yaml.dump(data, fs) + yaml.dump(data, fs) # create empty files to make postfit happy @@ -93,7 +94,6 @@ def storefit(pdf_function, replica, replica_path, fitname, q20, nite, erf_vl, er with open(f'{replica_path}/{fitname}.preproc','w') as fs: for line in all_preproc_lines: fs.write(line) - # create info file arc_strings = [str(i) for i in arc_lengths] @@ -101,4 +101,3 @@ def storefit(pdf_function, replica, replica_path, fitname, q20, nite, erf_vl, er with open(f'{replica_path}/{fitname}.fitinfo', 'w') as fs: fs.write(f'{nite} {erf_vl} {erf_tr} {chi2} {pos_state}\n') fs.write(arc_line) - From cdea7c41d22be05cbecca5a19ac019ae17153e09 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Mon, 20 May 2019 21:56:41 +0200 Subject: [PATCH 329/429] changes to the yaml files --- n3fit/plotting.py | 4 +-- n3fit/runcards/Basic_runcard.yml | 34 ++++++++++++------------- n3fit/runcards/PN3_DIS_example.yml | 36 +++++++++++++-------------- n3fit/runcards/PN3_Global_example.yml | 36 +++++++++++++-------------- 4 files changed, 55 insertions(+), 55 deletions(-) diff --git a/n3fit/plotting.py b/n3fit/plotting.py index 357f810f15..6c5d667f21 100755 --- a/n3fit/plotting.py +++ b/n3fit/plotting.py @@ -18,8 +18,8 @@ from pdb import set_trace import re -regex_op = re.compile("[^\w^\.]+") -regex_not_op = re.compile("[\w\.]+") +regex_op = re.compile(r'[^\w^\.]+') +regex_not_op = re.compile(r'[\w\.]+') keywords = { 'id' : 'iteration', diff --git a/n3fit/runcards/Basic_runcard.yml b/n3fit/runcards/Basic_runcard.yml index 6044711246..4da9e07eea 100644 --- a/n3fit/runcards/Basic_runcard.yml +++ b/n3fit/runcards/Basic_runcard.yml @@ -61,17 +61,17 @@ hyperscan: ############################################################ fitting: - genrep : on # on = generate MC replicas, off = use real data + genrep : True # on = generate MC replicas, False = use real data trvlseed: 1 nnseed: 2 mcseed: 3 epochs: 900 # CHANGE THE FOLLOWING OPTIONS - save: off + save: False savefile: 'weights.hd5' - load: off + load: False loadfile: 'weights.hd5' - plot: off + plot: False parameters: # This defines the parameter dictionary that is passed to the Model Trainer nodes_per_layer: [15, 10, 8] @@ -93,18 +93,18 @@ fitting: fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. basis: # remeber to change the name of PDF accordingly with fitbasis - # pos: on for NN squared + # pos: True for NN squared # mutsize: mutation size # mutprob: mutation probability # smallx, largex: preprocessing ranges - - { fl: sng, pos: off, mutsize: [15], mutprob: [0.05], smallx: [1.05,1.19], largex: [1.47,2.70] } - - { fl: g, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.94,1.25], largex: [0.11,5.87] } - - { fl: v, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.54,0.75], largex: [1.15,2.76] } - - { fl: v3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.21,0.57], largex: [1.35,3.08] } - - { fl: v8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.52,0.76], largex: [0.77,3.56] } - - { fl: t3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.37,1.52], largex: [1.74,3.39] } - - { fl: t8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.56,1.29], largex: [1.45,3.03] } - - { fl: cp, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.12,1.19], largex: [1.83,6.70] } + - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.05,1.19], largex: [1.47,2.70] } + - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.94,1.25], largex: [0.11,5.87] } + - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.54,0.75], largex: [1.15,2.76] } + - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.21,0.57], largex: [1.35,3.08] } + - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.52,0.76], largex: [0.77,3.56] } + - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.37,1.52], largex: [1.74,3.39] } + - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.56,1.29], largex: [1.45,3.03] } + - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.12,1.19], largex: [1.83,6.70] } ############################################################ stopping: @@ -128,14 +128,14 @@ positivity: ############################################################ closuretest: filterseed : 0 # Random seed to be used in filtering data partitions - fakedata : off # on = to use FAKEPDF to generate pseudo-data + fakedata : False # on = to use FAKEPDF to generate pseudo-data fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data errorsize : 1.0 # uncertainties rescaling - fakenoise : off # on = to add random fluctuations to pseudo-data + fakenoise : False # on = to add random fluctuations to pseudo-data rancutprob : 1.0 # Fraction of data to be included in the fit rancutmethod: 0 # Method to select rancutprob data fraction - rancuttrnval: off # 0(1) to output training(valiation) chi2 in report - printpdf4gen: off # To print info on PDFs during minimization + rancuttrnval: False # 0(1) to output training(valiation) chi2 in report + printpdf4gen: False # To print info on PDFs during minimization ############################################################ lhagrid: diff --git a/n3fit/runcards/PN3_DIS_example.yml b/n3fit/runcards/PN3_DIS_example.yml index a10e6f83b3..19efd8f33e 100644 --- a/n3fit/runcards/PN3_DIS_example.yml +++ b/n3fit/runcards/PN3_DIS_example.yml @@ -82,14 +82,14 @@ fitting: nnseed: 2 mcseed: 3 epochs: 20000 - save: off + save: False savefile: 'weights.hd5' - load: off + load: False loadfile: 'weights.hd5' - plot: off + plot: False seed : 9453862133528 # set the seed for the random generator - genrep : on # on = generate MC replicas, off = use real data + genrep : True # on = generate MC replicas, off = use real data rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc fitmethod: NGA # Minimization algorithm nmutants : 80 # Number of mutants for replica @@ -116,18 +116,18 @@ fitting: fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. basis: # remeber to change the name of PDF accordingly with fitbasis - # pos: on for NN squared + # pos: True for NN squared # mutsize: mutation size # mutprob: mutation probability # smallx, largex: preprocessing ranges - - { fl: sng, pos: off, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } - - { fl: g, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } - - { fl: v, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } - - { fl: v3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } - - { fl: v8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } - - { fl: t3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } - - { fl: t8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } - - { fl: cp, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } + - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } + - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } + - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } + - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } + - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } + - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } + - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } + - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } ############################################################ stopping: @@ -157,14 +157,14 @@ positivity: ############################################################ closuretest: filterseed : 0 # Random seed to be used in filtering data partitions - fakedata : off # on = to use FAKEPDF to generate pseudo-data + fakedata : False # on = to use FAKEPDF to generate pseudo-data fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data errorsize : 1.0 # uncertainties rescaling - fakenoise : off # on = to add random fluctuations to pseudo-data + fakenoise : False # on = to add random fluctuations to pseudo-data rancutprob : 1.0 # Fraction of data to be included in the fit rancutmethod: 0 # Method to select rancutprob data fraction - rancuttrnval: off # 0(1) to output training(valiation) chi2 in report - printpdf4gen: off # To print info on PDFs during minimization + rancuttrnval: False # 0(1) to output training(valiation) chi2 in report + printpdf4gen: False # To print info on PDFs during minimization ############################################################ lhagrid: @@ -176,4 +176,4 @@ lhagrid: qmax: 1e5 ############################################################ -debug: off +debug: False diff --git a/n3fit/runcards/PN3_Global_example.yml b/n3fit/runcards/PN3_Global_example.yml index 5800fa9e1d..5e66e1d96e 100644 --- a/n3fit/runcards/PN3_Global_example.yml +++ b/n3fit/runcards/PN3_Global_example.yml @@ -167,14 +167,14 @@ fitting: nnseed: 2 mcseed: 3 epochs: 50000 - save: off + save: False savefile: 'weights.hd5' - load: off + load: False loadfile: 'weights.hd5' - plot: off + plot: False seed : 9453862133528 # set the seed for the random generator - genrep : on # on = generate MC replicas, off = use real data + genrep : True # on = generate MC replicas, off = use real data rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc fitmethod: NGA # Minimization algorithm ngen : 30000 # Maximum number of generations @@ -202,18 +202,18 @@ fitting: fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. basis: # remeber to change the name of PDF accordingly with fitbasis - # pos: on for NN squared + # pos: True for NN squared # mutsize: mutation size # mutprob: mutation probability # smallx, largex: preprocessing ranges - - { fl: sng, pos: off, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } - - { fl: g, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } - - { fl: v, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } - - { fl: v3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } - - { fl: v8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } - - { fl: t3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } - - { fl: t8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } - - { fl: cp, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } + - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } + - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } + - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } + - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } + - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } + - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } + - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } + - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } ############################################################ stopping: @@ -243,14 +243,14 @@ positivity: ############################################################ closuretest: filterseed : 0 # Random seed to be used in filtering data partitions - fakedata : off # on = to use FAKEPDF to generate pseudo-data + fakedata : False # on = to use FAKEPDF to generate pseudo-data fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data errorsize : 1.0 # uncertainties rescaling - fakenoise : off # on = to add random fluctuations to pseudo-data + fakenoise : False # on = to add random fluctuations to pseudo-data rancutprob : 1.0 # Fraction of data to be included in the fit rancutmethod: 0 # Method to select rancutprob data fraction - rancuttrnval: off # 0(1) to output training(valiation) chi2 in report - printpdf4gen: off # To print info on PDFs during minimization + rancuttrnval: False # 0(1) to output training(valiation) chi2 in report + printpdf4gen: False # To print info on PDFs during minimization ############################################################ lhagrid: @@ -262,4 +262,4 @@ lhagrid: qmax: 1e5 ############################################################ -debug: off +debug: False From 8fbcf74764c51ee2c4b45529aa75837d835a63d2 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Mon, 20 May 2019 22:14:32 +0200 Subject: [PATCH 330/429] a bit of pylint to the hyperopt files --- n3fit/HyperAlgorithm.py | 49 +++++++++++++++++--------------------- n3fit/HyperScanner.py | 38 ++++++++++++++++++++---------- n3fit/plotting.py | 52 +++++++++++++++++++++-------------------- 3 files changed, 74 insertions(+), 65 deletions(-) diff --git a/n3fit/HyperAlgorithm.py b/n3fit/HyperAlgorithm.py index e09e14a5a0..47db4062a4 100644 --- a/n3fit/HyperAlgorithm.py +++ b/n3fit/HyperAlgorithm.py @@ -1,7 +1,5 @@ import itertools import numpy as np -from pdb import set_trace - class HyperAlgorithm(): @@ -25,7 +23,7 @@ def __init__(self, key_info, verbose = True, k_good = 'good', k_loss = 'loss', self.how_many_to_kill = how_many_to_kill - # Some variables are not discrete, find them + # Some variables are not discrete, find them update_dict = {} for key, values in key_info.items(): try: # Remove nan if there are @@ -65,7 +63,8 @@ def __dataframe_killer(self, dataframe, hit_list): def __verbose_elimination(self, md, printout = True): """ Show a log of everything that is being eliminated - if there is only one item in the dictionary, it also removes it from the combination list just to avoid looking at useless combinations + if there is only one item in the dictionary, + it also removes it from the combination list just to avoid looking at useless combinations """ combination = md['combination'] str_list = [] @@ -80,9 +79,7 @@ def __print(self, string, **kwargs): print(string, **kwargs) def __compute_reward(self, md): - """ - Computes a reward function from the information we have - """ + """ Computes a reward function from the information we have """ frate = md['f_rate'] ngood = md['n_good'] ntotal = md['n_total'] @@ -93,7 +90,7 @@ def __compute_reward(self, md): rate_good = ngood/ntotal*100.0 # The reward can be negative - reward = (50.0 - frate)/100.0 + reward = (50.0 - frate)/100.0 reward -= dstd/rate_good # the less spread the better # Finally scale it with the total number of points weight_points = 1.0 + ntotal/self.biggest_total @@ -104,8 +101,8 @@ def __compute_reward(self, md): def print_ranges(self, dataframe, keys = None, dataframe_original = None): """ Receives a dataframe and a number of keys and prints the surviving keys and ranges - - If dataframe_original is given, will also print (for discrete values) how many of each have survived from the total + If dataframe_original is given, will also print (for discrete values) + how many of each have survived from the total """ # First get the keys we are printing keys = self.key_info.keys() @@ -135,11 +132,7 @@ def print_ranges(self, dataframe, keys = None, dataframe_original = None): reward = md['reward'] list_str.append( " Reward: {1:.3f}: {0} ".format(val, reward) ) print("\n".join(list_str)) - return - - - - + return for key in keys: df_slice = dataframe[key] @@ -154,7 +147,8 @@ def print_ranges(self, dataframe, keys = None, dataframe_original = None): news = df_slice.value_counts() string = " values: " for val in values: - string += "{0} ({1}/{2} {3:2.0f}%), ".format(val, news[val], originals[val], news[val]/originals[val]*100.0 ) + string += "{0} ({1}/{2} {3:2.0f}%), ".format(val, + news[val], originals[val], news[val]/originals[val]*100.0) string = string[:-2] else: string = " values: {0}".format(values) @@ -199,7 +193,6 @@ def get_slice(self, dataframe, keys_info): keys_info must be a dictionary {key1 : value1, key2, value2 ...} """ df_slice = dataframe - check = False for key, value in keys_info.items(): # First check whether for this slice the values for this key are something different from NaN key_column = df_slice[key] @@ -218,7 +211,6 @@ def get_combinations(self, n, key_info = None, single_key = None): """ Get all combinations of n elements for the keys and values given in the dictionary key_info: { 'key' : [possible values] }, if key_info is None, the dictionary used to initialize the class will be used - Returns a list of dictionaries such that: [ {'key1' : val1-1, 'key2', val2-1 ... }, @@ -234,7 +226,7 @@ def get_combinations(self, n, key_info = None, single_key = None): if single_key: single_options = key_info[single_key] key_info = {single_key : single_options} - + key_combinations = itertools.combinations(key_info, n) all_combinations = [] for keys in key_combinations: @@ -249,7 +241,7 @@ def get_combinations(self, n, key_info = None, single_key = None): def study_combination(self, dataframe, combination): """ - Given a dataframe and a dictionary of {key1 : value1, key2: value2} + Given a dataframe and a dictionary of {key1 : value1, key2: value2} returns a dictionary with a number of stats for that combination """ df_slice = self.get_slice(dataframe, combination) @@ -261,7 +253,7 @@ def study_combination(self, dataframe, combination): def __sort_to_survive(self, info_dict, how_many_to_save): """ - Receives a list of dictionaries with an entry called reward, returns the + Receives a list of dictionaries with an entry called reward, returns the 'n' best """ sorted_by_reward = sorted(info_dict, key = lambda i: i['reward']) @@ -280,7 +272,7 @@ def __sort_to_survive(self, info_dict, how_many_to_save): def __sort_to_kill(self, info_dict, by_key = False, how_many_to_kill = None): """ - Receives a list of dictionaries with an entry called reward, returns the + Receives a list of dictionaries with an entry called reward, returns the 'n' worst ones. If by key is True, returns the 'n' worst for each set of keys """ @@ -318,7 +310,7 @@ def remove_failing(self, dataframe, n_combinations = 1, key = None, fail_thresho for combination in combinations: md = self.study_combination(dataframe, combination) - if md['skip']: + if md['skip']: continue reward = md['reward'] if fail_threshold == 'median': @@ -338,7 +330,8 @@ def remove_failing(self, dataframe, n_combinations = 1, key = None, fail_thresho print("Eliminated {0} with reward: {1}".format(i['combination'], i['reward'])) return new_dataframe - def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, key = None, verbose = False, kill_threshold = None): + def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, + key = None, verbose = False, kill_threshold = None): """ It starts killing the entry with the worst reward and won't stop until all remaining entries for the given number of combinations, have a positive reward @@ -384,7 +377,8 @@ def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, key = No self.__verbose_elimination(victim) # 4 - Keep on murdering - return self.check_wrapper_weaklings_killer(new_dataframe, n_combinations, key = key, kill_threshold = kill_threshold) + return self.check_wrapper_weaklings_killer(new_dataframe, n_combinations, + key = key, kill_threshold = kill_threshold) def check_wrapper(self, dataframe, n_combinations, kill = False, save_n_best = None): """ @@ -404,7 +398,7 @@ def get_str(comb, md): # 1 - Get all possible combinations of the keys combinations = self.get_combinations(n_combinations) - lines_to_print = [] + lines_to_print = [] siz = 0 # 2 - Now run for all possible combinations and parse the information hit_list = [] @@ -414,14 +408,13 @@ def get_str(comb, md): if md['skip']: continue reward = md['reward'] - ntotal = md['n_total'] if reward <= self.threshold_reward: # Don't bother with this point, kill it later hit_list.append(md) else: md['keys'] = tuple(sorted((combination.keys()))) info_dict.append(md) - comb_str, fail_str, f_rate = get_str(combination, md) + comb_str, fail_str, _ = get_str(combination, md) if len(comb_str) > siz: siz = len(comb_str) lines_to_print.append( (comb_str, fail_str, reward) ) diff --git a/n3fit/HyperScanner.py b/n3fit/HyperScanner.py index 55ec565afa..13b142efad 100644 --- a/n3fit/HyperScanner.py +++ b/n3fit/HyperScanner.py @@ -1,6 +1,5 @@ import hyperopt as hyper import numpy as np -import pdb from backends import MetaModel, MetaLayer @@ -21,7 +20,7 @@ class HyperScanner: def __init__(self, parameters): """ Takes as input a dictionary of parameters - and saves it + and saves it """ self.parameters = parameters self.keys = parameters.keys() @@ -41,14 +40,16 @@ def update_dict(self, newdict): if isinstance(value, dict): self.update_dict(value) - def _update_param(self, key, value, hyperopt = True, dkeys = []): + def _update_param(self, key, value, hyperopt = True, dkeys = None): + if dkeys is None: + dkeys = [] if key not in self.keys: raise Exception("Trying to update a parameter that was not declared in the dictionary: {0}. HyperScanner @ _update_param".format(key)) if hyperopt: self.hyper_keys.add(key) print("Adding the key {0} with the following value: {1}".format(key, value)) # Add possible extra keys - [self.dict_keys.add(nk) for nk in dkeys] + _ = [self.dict_keys.add(nk) for nk in dkeys] self.parameters[key] = value # Calling the functions below turn parameters of the dictionary into hyperparameter scans @@ -72,7 +73,7 @@ def stopping(self, min_epochs = 5e3, max_epochs = 30e3, min_patience = 0.10, max self._update_param(epochs_key, epochs) self._update_param(stopping_key, stopping_patience) - def optimizer(self, names = ['RMSprop'], min_lr = 0.0005, max_lr = 0.5): + def optimizer(self, names = None, min_lr = 0.0005, max_lr = 0.5): # But this might be a conditional thing and not all of the possible options be dictionaries """ This function look at the optimizers implemented in MetaModel and adds the learning rate to (only) @@ -80,6 +81,9 @@ def optimizer(self, names = ['RMSprop'], min_lr = 0.0005, max_lr = 0.5): - optimizer - learning rate """ + if names is None: + names = ['RMSprop'] + opt_key = 'optimizer' lr_key = 'learning_rate' @@ -101,7 +105,7 @@ def optimizer(self, names = ['RMSprop'], min_lr = 0.0005, max_lr = 0.5): args = optimizer_dict[opt_name][1] if 'lr' in args.keys(): choices.append( { - opt_key: opt_name, + opt_key: opt_name, lr_key: lr_choice, } ) else: @@ -109,7 +113,7 @@ def optimizer(self, names = ['RMSprop'], min_lr = 0.0005, max_lr = 0.5): opt_val = hyper.hp.choice(opt_key, choices) # Tell the HyperScanner this key might contain a dictionary to store it separately - self._update_param(opt_key, opt_val, dkeys = [opt_key]) + self._update_param(opt_key, opt_val, dkeys = [opt_key]) def positivity(self, min_multiplier = 1.01, max_multiplier = 1.3, min_initial=0.5, max_initial=100): """ @@ -132,8 +136,9 @@ def positivity(self, min_multiplier = 1.01, max_multiplier = 1.3, min_initial=0. ini_val = hyper.hp.loguniform(ini_key, min_initial, max_initial) self._update_param(ini_key, ini_val) - def NN_architecture(self, n_layers = [1, 2, 5], max_units = 50, min_units = 5, activations = ['sigmoid', 'tanh'], initializers = ['glorot_normal'], - layer_types = ['dense'], max_drop = 0.0): + def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, + activations = None, initializers = None, + layer_types = None, max_drop = 0.0): """ Uses all the given information to generate the parameters for the NN - nodes_per_layer @@ -142,12 +147,21 @@ def NN_architecture(self, n_layers = [1, 2, 5], max_units = 50, min_units = 5, a - layer_type - dropout """ + if activations is None: + activations = ['sigmoid', 'tanh'] + if initializer is None: + initializer = ['glorot_normal'] + if n_layers is None: + n_layers = [1, 2, 5] + if layer_types is None: + layer_types = ['dense'] # Do we want to fix or generate dinamically the units? for now let's fix # there will be time for more sofisticated functions act_key = 'activation_per_layer' - nodes_key = 'nodes_per_layer' # the information contained in the variable is indeed the number of nodes per layer e.g. [5,10,30] - # but the information the user will be interested in is how many layers are there... + nodes_key = 'nodes_per_layer' + # the information contained in the variable is indeed the number of nodes per layer e.g. [5,10,30] + # but the information the user will be interested in is how many layers are there... # Generate the possible activation choices act_choices = [] @@ -162,7 +176,7 @@ def NN_architecture(self, n_layers = [1, 2, 5], max_units = 50, min_units = 5, a nodes_choices = [] for n in n_layers: units = [] - for i in range(n): + for i in range(n): # We can even play games as lowering the maximum as the number of layers grows units_label = 'nl{1}:-{0}/{1}'.format(i, n) units.append(hyper.hp.quniform(units_label, min_units, max_units, 5)) diff --git a/n3fit/plotting.py b/n3fit/plotting.py index 6c5d667f21..9250b36583 100755 --- a/n3fit/plotting.py +++ b/n3fit/plotting.py @@ -4,20 +4,17 @@ Script to plot the hyperopt scans """ +import os +import json +import warnings +import re + import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns -import itertools -import os -import json -import warnings warnings.simplefilter(action = 'ignore', category = FutureWarning) - -from pdb import set_trace - -import re regex_op = re.compile(r'[^\w^\.]+') regex_not_op = re.compile(r'[\w\.]+') @@ -90,7 +87,7 @@ def optimizer_parse(trial, dict_out): lr = None ini = trial['misc']['space_vals'][keywords['initializer']] dropout_rate = trial['misc']['space_vals'][keywords['dropout']] - + dict_out[keywords['optimizer']] = name dict_out[keywords['lr']] = lr @@ -159,7 +156,7 @@ def stat_parser(trial, dict_out, threshold = 1e3, val_f = 0.5, **kwargs): """ Parser the stats information of the trial, the losses, the failures, etc """ - test_f = 1.0 - val_f + test_f = 1.0 - val_f validation_loss = trial['result'][keywords['vl']] testing_loss = trial['result'][keywords['tl']] loss = validation_loss*val_f + testing_loss*test_f @@ -182,7 +179,7 @@ def stat_parser(trial, dict_out, threshold = 1e3, val_f = 0.5, **kwargs): dict_out[keywords['good']] = ok dict_out[keywords['loss']] = loss dict_out[keywords['vl']] = validation_loss - dict_out[keywords['tl']] = testing_loss + dict_out[keywords['tl']] = testing_loss def filter_by_string(data_dict, filter_string): @@ -207,7 +204,8 @@ def filter_by_string(data_dict, filter_string): operator = regex_op.findall(filter_string)[0] - if operator == "=": operator = "==" + if operator == "=": + operator = "==" operators = ["!=", "==", ">", "<"] if operator not in operators: raise Exception("Filter string not valid, operator not recognized {0}".format(filter_string)) @@ -221,7 +219,7 @@ def filter_by_string(data_dict, filter_string): return eval(check_str.format(val_check, operator, filter_val)) except: return False - + # General parsing def trial_parser(trial, filter_me = None, **kwargs): @@ -255,7 +253,7 @@ def filter_trials(input_trials, **kwargs): """ Applies the search algorithm to all the different trials to find the true best model """ - # First step is to fill in two different + # First step is to fill in two different failed_trials = [] ok_trials = [] @@ -319,7 +317,9 @@ def plot_scans(df, best_df, outfile): ordering_true, best_x = order_axis(df, best_df, key=key) ax = sns.violinplot(x=key, y=loss_k, data=df, ax=ax, palette="Set2",cut=0.0, order= ordering_true) ax = sns.stripplot(x=key, y=loss_k, data=df, ax=ax, color="gray", order=ordering_true, alpha=0.4) - elif mode == 4: # The nodes per layer is a special case because we want to know to which total number of layers they correspond + elif mode == 4: + # The nodes per layer is a special case because we want to know to + # which total number of layers they correspond ordering_true, _ = order_axis(df, best_df, key=keywords['nl']) best_x = best_df.get(key) for l in ordering_true: @@ -348,7 +348,7 @@ def draw_histogram(dataframe, key, plotable = 'loss', columns = 2): plt.show() -def print_stats(dataframe, +def print_stats(dataframe, stats_keys = ['optimizer', 'nl', 'initializer', 'activation'], n_combinations = 2, verbose = True, return_early = False, how_many_to_kill = 2, remove_by_key = False, save_n_best = 10, @@ -361,7 +361,7 @@ def print_stats(dataframe, # Ok, at this point I have a dataframe with all the content from the json. # if filters or changes on the threshold for the loss are active, the dataframe would # already be filtered and all information ready - + def read_key(key): if key in keywords.keys(): key_name = keywords[key] @@ -391,10 +391,10 @@ def get_slice(full_dataframe, key, value): keys_lv_0 = kclean(['optimizer', 'number_of_layers']) keys_lv_1 = kclean(['epochs', 'stopping_patience', 'activation']) keys_lv_2 = kclean(['p_mul', 'p_ini', 'learning_rate']) - + keys_for_removal = keys_lv_0 + keys_lv_1 - key_info_full = gen_key_info(dataframe, keys_for_removal) + key_info_full = gen_key_info(dataframe, keys_for_removal) hypalg = HyperAlgorithm(key_info = key_info_full) trim_dataframe = hypalg.remove_failing(dataframe) key_info_trim = gen_key_info(trim_dataframe, keys_for_removal) @@ -444,12 +444,14 @@ def get_slice(full_dataframe, key, value): key_info_lv1 = gen_key_info(item_1, keys_lv_1) falg = HyperAlgorithm(key_info = key_info_lv1) n1 = len(key_info_lv1) - trim_slice = falg.remove_failing(item_1, n_combinations = n1, fail_threshold = 'median', verbose = False) + trim_slice = falg.remove_failing(item_1, n_combinations = n1, + fail_threshold = 'median', verbose = False) # Now do the same with the level 2, remove the worst half key_info_lv2 = gen_key_info(trim_slice, keys_lv_2) falg = HyperAlgorithm(key_info = key_info_lv2) n2 = len(key_info_lv2) - final_slice = falg.remove_failing(trim_slice, n_combinations = n2, fail_threshold = 'median', verbose = False) + final_slice = falg.remove_failing(trim_slice, n_combinations = n2, + fail_threshold = 'median', verbose = False) # Now print the ranges print_ranges = keys_lv_1 + keys_lv_2 print(""" @@ -469,7 +471,7 @@ def get_slice(full_dataframe, key, value): # Now, for each key we need to get all the possible options key_info = gen_key_info(dataframe) - # Now that we have all the options we need to go in priority order + # Now that we have all the options we need to go in priority order @@ -496,7 +498,7 @@ def get_slice(full_dataframe, key, value): print(key_name) trim_slice = hypalg.remove_failing(trim_slice, key = key_name, fail_threshold = 0.0) hypalg.print_ranges(trim_slice, dataframe_original = f_slice) - + set_trace() @@ -639,13 +641,13 @@ def generate_scan_report_from_file(replica_path, json_name = "tries.json", inclu if histogram: draw_histogram(dataframe, histogram) - + # Plot the plot fileout = f'{replica_path}/scan.pdf' plot_scans(dataframe, best_trial, fileout) print("Plot saved at {0}".format(fileout)) - + if __name__ == "__main__": from argparse import ArgumentParser From aa709dbed4abd92b794a3409e43eb2674e0a8dae Mon Sep 17 00:00:00 2001 From: juacrumar Date: Mon, 20 May 2019 22:45:58 +0200 Subject: [PATCH 331/429] bugfix --- n3fit/HyperScanner.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/n3fit/HyperScanner.py b/n3fit/HyperScanner.py index 13b142efad..fac1692fda 100644 --- a/n3fit/HyperScanner.py +++ b/n3fit/HyperScanner.py @@ -149,8 +149,8 @@ def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, """ if activations is None: activations = ['sigmoid', 'tanh'] - if initializer is None: - initializer = ['glorot_normal'] + if initializers is None: + initializers = ['glorot_normal'] if n_layers is None: n_layers = [1, 2, 5] if layer_types is None: From 9513fc7aededdd85870147ea85fe6f401e2daff7 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Tue, 21 May 2019 10:39:55 +0200 Subject: [PATCH 332/429] passed black to the code --- n3fit/HyperAlgorithm.py | 215 ++++++------ n3fit/HyperScanner.py | 86 ++--- n3fit/ModelTrainer.py | 289 ++++++++-------- n3fit/Statistics.py | 75 +++-- n3fit/backends/keras_backend/MetaLayer.py | 63 ++-- n3fit/backends/keras_backend/MetaModel.py | 22 +- n3fit/backends/keras_backend/base_layers.py | 3 +- n3fit/backends/keras_backend/debug_mode.py | 6 +- n3fit/backends/keras_backend/losses.py | 16 +- n3fit/backends/keras_backend/operations.py | 25 +- n3fit/constrains.py | 94 +++--- n3fit/create_testset.py | 29 +- n3fit/filetrials.py | 8 +- n3fit/fit.py | 151 +++++---- n3fit/layers/DIS.py | 9 +- n3fit/layers/DY.py | 28 +- n3fit/layers/Integration.py | 80 +++-- n3fit/layers/Mask.py | 10 +- n3fit/layers/Observable.py | 5 +- n3fit/layers/Preprocessing.py | 84 ++--- n3fit/model_gen.py | 148 ++++---- n3fit/n3fit.py | 103 +++--- n3fit/plotting.py | 355 ++++++++++---------- n3fit/reader.py | 93 ++--- 24 files changed, 1033 insertions(+), 964 deletions(-) diff --git a/n3fit/HyperAlgorithm.py b/n3fit/HyperAlgorithm.py index 47db4062a4..df593c05d5 100644 --- a/n3fit/HyperAlgorithm.py +++ b/n3fit/HyperAlgorithm.py @@ -1,10 +1,19 @@ import itertools import numpy as np -class HyperAlgorithm(): - def __init__(self, key_info, verbose = True, k_good = 'good', k_loss = 'loss', - threshold_reward = 0.0, fail_threshold = 75, how_many_to_kill = 2, remove_by_key = False): +class HyperAlgorithm: + def __init__( + self, + key_info, + verbose=True, + k_good="good", + k_loss="loss", + threshold_reward=0.0, + fail_threshold=75, + how_many_to_kill=2, + remove_by_key=False, + ): """ key_info: dictionary of {'keyname' : [list,of,possible,values]} """ @@ -26,20 +35,20 @@ def __init__(self, key_info, verbose = True, k_good = 'good', k_loss = 'loss', # Some variables are not discrete, find them update_dict = {} for key, values in key_info.items(): - try: # Remove nan if there are + try: # Remove nan if there are np_values = np.array(values) np_values = np_values[~np.isnan(np_values)] except: np_values = values l = len(np_values) - if l > 10: # break it into five chuncks + if l > 10: # break it into five chuncks np_values.sort() new_vals = [] - step = int(l/5) - for i in range(0, l-step, step): + step = int(l / 5) + for i in range(0, l - step, step): ini = np_values[i] - fin = np_values[i+step] - new_vals.append( (ini, fin) ) + fin = np_values[i + step] + new_vals.append((ini, fin)) update_dict[key] = new_vals key_info.update(update_dict) @@ -47,32 +56,31 @@ def __init__(self, key_info, verbose = True, k_good = 'good', k_loss = 'loss', self.biggest_total = 1 self.perfect_reward = 100.0 - def __dataframe_killer(self, dataframe, hit_list): """ Remove from the dataframe all entries included in the hit_list """ if not hit_list: return dataframe - indices_to_remove = hit_list[0]['slice'].index + indices_to_remove = hit_list[0]["slice"].index for victim in hit_list[1:]: - indices_to_remove = indices_to_remove.append(victim['slice'].index) + indices_to_remove = indices_to_remove.append(victim["slice"].index) indices_to_drop = indices_to_remove.drop_duplicates() - return dataframe.drop( indices_to_drop ) + return dataframe.drop(indices_to_drop) - def __verbose_elimination(self, md, printout = True): + def __verbose_elimination(self, md, printout=True): """ Show a log of everything that is being eliminated if there is only one item in the dictionary, it also removes it from the combination list just to avoid looking at useless combinations """ - combination = md['combination'] + combination = md["combination"] str_list = [] for key, item in combination.items(): - str_list.append( "{0}={1}".format(key, item) ) - reward = md['reward'] + str_list.append("{0}={1}".format(key, item)) + reward = md["reward"] if printout: - self.__print("Removing: {0}\n reward: {1:.5f}".format( '\n '.join(str_list), reward)) + self.__print("Removing: {0}\n reward: {1:.5f}".format("\n ".join(str_list), reward)) def __print(self, string, **kwargs): if self.verbose: @@ -80,25 +88,25 @@ def __print(self, string, **kwargs): def __compute_reward(self, md): """ Computes a reward function from the information we have """ - frate = md['f_rate'] - ngood = md['n_good'] - ntotal = md['n_total'] + frate = md["f_rate"] + ngood = md["n_good"] + ntotal = md["n_total"] # If the fail rate is greater than 75%, kill it if frate > self.fail_threshold: return self.failing_reward - dstd = md['median'] - md['best_loss'] - rate_good = ngood/ntotal*100.0 + dstd = md["median"] - md["best_loss"] + rate_good = ngood / ntotal * 100.0 # The reward can be negative - reward = (50.0 - frate)/100.0 - reward -= dstd/rate_good # the less spread the better + reward = (50.0 - frate) / 100.0 + reward -= dstd / rate_good # the less spread the better # Finally scale it with the total number of points - weight_points = 1.0 + ntotal/self.biggest_total + weight_points = 1.0 + ntotal / self.biggest_total reward *= weight_points return reward - def print_ranges(self, dataframe, keys = None, dataframe_original = None): + def print_ranges(self, dataframe, keys=None, dataframe_original=None): """ Receives a dataframe and a number of keys and prints the surviving keys and ranges If dataframe_original is given, will also print (for discrete values) @@ -110,7 +118,7 @@ def print_ranges(self, dataframe, keys = None, dataframe_original = None): # Now compute all rewards key_rewards = {} for key in keys: - combinations = self.get_combinations(1, single_key = key) + combinations = self.get_combinations(1, single_key=key) key_rewards[key] = [] for combination in combinations: md = self.study_combination(dataframe, combination) @@ -126,11 +134,11 @@ def print_ranges(self, dataframe, keys = None, dataframe_original = None): for key, results in key_rewards.items(): print("For key: {0}".format(key)) list_str = [] - results.sort( key = lambda i: -i['reward'] ) + results.sort(key=lambda i: -i["reward"]) for md in results: - val = md['combination'][key] - reward = md['reward'] - list_str.append( " Reward: {1:.3f}: {0} ".format(val, reward) ) + val = md["combination"][key] + reward = md["reward"] + list_str.append(" Reward: {1:.3f}: {0} ".format(val, reward)) print("\n".join(list_str)) return @@ -147,44 +155,43 @@ def print_ranges(self, dataframe, keys = None, dataframe_original = None): news = df_slice.value_counts() string = " values: " for val in values: - string += "{0} ({1}/{2} {3:2.0f}%), ".format(val, - news[val], originals[val], news[val]/originals[val]*100.0) + string += "{0} ({1}/{2} {3:2.0f}%), ".format( + val, news[val], originals[val], news[val] / originals[val] * 100.0 + ) string = string[:-2] else: string = " values: {0}".format(values) - self.__print("Key: {0}\n > {1}".format(key, string)) - def __process_slice(self, df_slice): """ Function to process a slice into a dictionary with interesting stats If the slice is None it means the combination does not apply """ if df_slice is None: - md = {'skip' : True} + md = {"skip": True} return md else: - md = {'skip' : False} - - good = df_slice[ df_slice[ self.k_good ] ] - md['n_total'] = len(df_slice) - md['n_good'] = len(good) - if md['n_good'] > self.biggest_total: - self.biggest_total = md['n_good'] - md['n_failed'] = md['n_total'] - md['n_good'] - if md['n_total'] == 0: - md['skip'] = True + md = {"skip": False} + + good = df_slice[df_slice[self.k_good]] + md["n_total"] = len(df_slice) + md["n_good"] = len(good) + if md["n_good"] > self.biggest_total: + self.biggest_total = md["n_good"] + md["n_failed"] = md["n_total"] - md["n_good"] + if md["n_total"] == 0: + md["skip"] = True return md else: - f_rate = md['n_failed']/md['n_total']*100 - md['f_rate'] = f_rate + f_rate = md["n_failed"] / md["n_total"] * 100 + md["f_rate"] = f_rate # Compute for each the best loss (among the good ones) and the std dev - good_losses = good[ self.k_loss ] - md['best_loss'] = good_losses.min() - md['std'] = good_losses.std() - md['median'] = good_losses.median() - md['reward'] = self.__compute_reward(md) + good_losses = good[self.k_loss] + md["best_loss"] = good_losses.min() + md["std"] = good_losses.std() + md["median"] = good_losses.median() + md["reward"] = self.__compute_reward(md) return md def get_slice(self, dataframe, keys_info): @@ -201,13 +208,13 @@ def get_slice(self, dataframe, keys_info): if key in self.continuous.keys(): minim = value[0] maxim = value[1] - df_slice = df_slice[ key_column >= minim ] - df_slice = df_slice[ key_column <= maxim ] + df_slice = df_slice[key_column >= minim] + df_slice = df_slice[key_column <= maxim] else: - df_slice = df_slice[ key_column == value ] + df_slice = df_slice[key_column == value] return df_slice - def get_combinations(self, n, key_info = None, single_key = None): + def get_combinations(self, n, key_info=None, single_key=None): """ Get all combinations of n elements for the keys and values given in the dictionary key_info: { 'key' : [possible values] }, if key_info is None, the dictionary used to initialize the class will be used @@ -225,14 +232,14 @@ def get_combinations(self, n, key_info = None, single_key = None): if single_key: single_options = key_info[single_key] - key_info = {single_key : single_options} + key_info = {single_key: single_options} key_combinations = itertools.combinations(key_info, n) all_combinations = [] for keys in key_combinations: - list_of_items = [ key_info[key] for key in keys ] + list_of_items = [key_info[key] for key in keys] # list_of_items is a list of possible values: [ (val1-1, val1-2, val1-3...), (val2-1, val2-2...) ... ] - items_combinations = itertools.product( *list_of_items ) + items_combinations = itertools.product(*list_of_items) for values in items_combinations: nd = dict(zip(keys, values)) all_combinations.append(nd) @@ -247,8 +254,8 @@ def study_combination(self, dataframe, combination): df_slice = self.get_slice(dataframe, combination) # If the combination does not applies (i.e., NaN) just skip it md = self.__process_slice(df_slice) - md['slice'] = df_slice - md['combination'] = combination + md["slice"] = df_slice + md["combination"] = combination return md def __sort_to_survive(self, info_dict, how_many_to_save): @@ -256,21 +263,21 @@ def __sort_to_survive(self, info_dict, how_many_to_save): Receives a list of dictionaries with an entry called reward, returns the 'n' best """ - sorted_by_reward = sorted(info_dict, key = lambda i: i['reward']) + sorted_by_reward = sorted(info_dict, key=lambda i: i["reward"]) sorted_by_reward.reverse() # Everyone with perfect reward is saved save_list = [] for i in sorted_by_reward: if how_many_to_save == 0: break - if i['reward'] == self.perfect_reward: + if i["reward"] == self.perfect_reward: save_list.append(i) else: save_list.append(i) how_many_to_save -= 1 return save_list - def __sort_to_kill(self, info_dict, by_key = False, how_many_to_kill = None): + def __sort_to_kill(self, info_dict, by_key=False, how_many_to_kill=None): """ Receives a list of dictionaries with an entry called reward, returns the 'n' worst ones. @@ -281,7 +288,7 @@ def __sort_to_kill(self, info_dict, by_key = False, how_many_to_kill = None): if by_key: list_by_key = {} for md in info_dict: - keys = md['keys'] + keys = md["keys"] if keys in list_by_key.keys(): list_by_key[keys].append(md) else: @@ -290,48 +297,47 @@ def __sort_to_kill(self, info_dict, by_key = False, how_many_to_kill = None): for _, items in list_by_key.items(): hit_list += self.__sort_to_kill(items) else: - sorted_by_reward = sorted(info_dict, key = lambda i: i['reward']) + sorted_by_reward = sorted(info_dict, key=lambda i: i["reward"]) hit_list = sorted_by_reward[:how_many_to_kill] return hit_list - def remove_failing(self, dataframe, n_combinations = 1, key = None, fail_threshold = None, verbose = True): + def remove_failing(self, dataframe, n_combinations=1, key=None, fail_threshold=None, verbose=True): """ Remove entries with failing reward from the dataframe """ if fail_threshold is None: set_fail_threshold = self.failing_reward - elif fail_threshold == 'median': + elif fail_threshold == "median": set_fail_threshold = 100 else: set_fail_threshold = fail_threshold - combinations = self.get_combinations(n_combinations, single_key = key) + combinations = self.get_combinations(n_combinations, single_key=key) hit_list = [] all_combinations = [] for combination in combinations: md = self.study_combination(dataframe, combination) - if md['skip']: + if md["skip"]: continue - reward = md['reward'] - if fail_threshold == 'median': + reward = md["reward"] + if fail_threshold == "median": all_combinations.append(md) elif reward <= set_fail_threshold: hit_list.append(md) - if fail_threshold == 'median': - sorted_by_reward = sorted(all_combinations, key = lambda i: i['reward']) + if fail_threshold == "median": + sorted_by_reward = sorted(all_combinations, key=lambda i: i["reward"]) # do like thanos - half = int(len(sorted_by_reward)/2) + half = int(len(sorted_by_reward) / 2) hit_list = sorted_by_reward[:half] new_dataframe = self.__dataframe_killer(dataframe, hit_list) if verbose: for i in hit_list: - print("Eliminated {0} with reward: {1}".format(i['combination'], i['reward'])) + print("Eliminated {0} with reward: {1}".format(i["combination"], i["reward"])) return new_dataframe - def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, - key = None, verbose = False, kill_threshold = None): + def check_wrapper_weaklings_killer(self, dataframe, n_combinations=1, key=None, verbose=False, kill_threshold=None): """ It starts killing the entry with the worst reward and won't stop until all remaining entries for the given number of combinations, have a positive reward @@ -339,32 +345,32 @@ def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, if kill_threshold is None: set_kill_threshold = self.threshold_reward elif kill_threshold is "median": - set_kill_threshold = 100 # ensures that someone dies here + set_kill_threshold = 100 # ensures that someone dies here else: set_kill_threshold = kill_threshold # 1 - Get combinations - combinations = self.get_combinations(n_combinations, single_key = key) + combinations = self.get_combinations(n_combinations, single_key=key) # 2 - Run through all possible combinations and kill the weakest one worst_reward = 1e5 victim = None all_combinations = [] for combination in combinations: md = self.study_combination(dataframe, combination) - if md['skip']: + if md["skip"]: continue all_combinations.append(md) - reward = md['reward'] + reward = md["reward"] if reward < worst_reward and reward <= set_kill_threshold: victim = md worst_reward = reward if verbose: - all_combinations.sort( key = lambda i: i['reward'] ) + all_combinations.sort(key=lambda i: i["reward"]) for i in all_combinations: - print("{0}, {1}".format(i['reward'], i['combination'])) + print("{0}, {1}".format(i["reward"], i["combination"])) - if kill_threshold == "median": # Set the median which will be necessary for the rest of the iterations - rewards = [i['reward'] for i in all_combinations] + if kill_threshold == "median": # Set the median which will be necessary for the rest of the iterations + rewards = [i["reward"] for i in all_combinations] kill_threshold = np.median(rewards) print(" > > Killing everything with reward below {0}".format(kill_threshold)) @@ -377,20 +383,21 @@ def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, self.__verbose_elimination(victim) # 4 - Keep on murdering - return self.check_wrapper_weaklings_killer(new_dataframe, n_combinations, - key = key, kill_threshold = kill_threshold) + return self.check_wrapper_weaklings_killer( + new_dataframe, n_combinations, key=key, kill_threshold=kill_threshold + ) - def check_wrapper(self, dataframe, n_combinations, kill = False, save_n_best = None): + def check_wrapper(self, dataframe, n_combinations, kill=False, save_n_best=None): """ Input a dataframe and the number of possible combinations and prints out nice statistics """ def get_str(comb, md): - key_strs = ["{0}={1}".format(key, item) for key,item in comb.items()] + key_strs = ["{0}={1}".format(key, item) for key, item in comb.items()] comb_str = ", ".join(key_strs) - f_rate = md['f_rate'] - reward = md['reward'] - n_trials = md['n_total'] + f_rate = md["f_rate"] + reward = md["reward"] + n_trials = md["n_total"] failure_str = "Fail: {0:2.3f}% Reward: {2:0.3f} ({1:3d} trials)".format(f_rate, n_trials, reward) return comb_str, failure_str, f_rate @@ -405,24 +412,24 @@ def get_str(comb, md): info_dict = [] for combination in combinations: md = self.study_combination(dataframe, combination) - if md['skip']: + if md["skip"]: continue - reward = md['reward'] + reward = md["reward"] if reward <= self.threshold_reward: # Don't bother with this point, kill it later hit_list.append(md) else: - md['keys'] = tuple(sorted((combination.keys()))) + md["keys"] = tuple(sorted((combination.keys()))) info_dict.append(md) comb_str, fail_str, _ = get_str(combination, md) if len(comb_str) > siz: siz = len(comb_str) - lines_to_print.append( (comb_str, fail_str, reward) ) + lines_to_print.append((comb_str, fail_str, reward)) # 3 - If kill == true, remove the slices in the hit list if kill: # 3.1 - Sort the items by reward and get the 'how_many_to_kill' with the smallest reward - hit_list += self.__sort_to_kill(info_dict, by_key = self.remove_by_key) + hit_list += self.__sort_to_kill(info_dict, by_key=self.remove_by_key) print("Removing the worst combinations:") new_dataframe = self.__dataframe_killer(dataframe, hit_list) else: @@ -435,20 +442,20 @@ def get_str(comb, md): indices_to_get = None for survivor in survivors_list: if indices_to_get is not None: - indices_to_get = indices_to_get.append(survivor['slice'].index) + indices_to_get = indices_to_get.append(survivor["slice"].index) else: - indices_to_get = survivor['slice'].index + indices_to_get = survivor["slice"].index indices_to_get = indices_to_get.drop_duplicates() new_dataframe = dataframe.ix[indices_to_get] # 5 - Now print all lines, making sure the align nicely print("\n") - lines_to_print.sort( key = lambda x: x[-1] ) + lines_to_print.sort(key=lambda x: x[-1]) # If saving only the best X, print only those if save_n_best: lines_to_print = lines_to_print[-save_n_best:] base_line = "{0:" + str(siz) + "s} {1}" for line in lines_to_print: - self.__print( base_line.format( line[0], line[1] ) ) + self.__print(base_line.format(line[0], line[1])) return new_dataframe diff --git a/n3fit/HyperScanner.py b/n3fit/HyperScanner.py index fac1692fda..a888e6f475 100644 --- a/n3fit/HyperScanner.py +++ b/n3fit/HyperScanner.py @@ -3,6 +3,7 @@ from backends import MetaModel, MetaLayer + class HyperScanner: """ The HyperScanner generates a dictionary of parameters for scanning @@ -40,11 +41,15 @@ def update_dict(self, newdict): if isinstance(value, dict): self.update_dict(value) - def _update_param(self, key, value, hyperopt = True, dkeys = None): + def _update_param(self, key, value, hyperopt=True, dkeys=None): if dkeys is None: dkeys = [] if key not in self.keys: - raise Exception("Trying to update a parameter that was not declared in the dictionary: {0}. HyperScanner @ _update_param".format(key)) + raise Exception( + "Trying to update a parameter that was not declared in the dictionary: {0}. HyperScanner @ _update_param".format( + key + ) + ) if hyperopt: self.hyper_keys.add(key) print("Adding the key {0} with the following value: {1}".format(key, value)) @@ -53,27 +58,26 @@ def _update_param(self, key, value, hyperopt = True, dkeys = None): self.parameters[key] = value # Calling the functions below turn parameters of the dictionary into hyperparameter scans - def stopping(self, min_epochs = 5e3, max_epochs = 30e3, min_patience = 0.10, max_patience = 0.3): + def stopping(self, min_epochs=5e3, max_epochs=30e3, min_patience=0.10, max_patience=0.3): """ Modifies the following entries of the parameter dictionary: - epochs - stopping_patience """ - epochs_key = 'epochs' - stopping_key = 'stopping_patience' + epochs_key = "epochs" + stopping_key = "stopping_patience" - epoch_step = (max_epochs - min_epochs)/4 + epoch_step = (max_epochs - min_epochs) / 4 if min_epochs < epoch_step: epoch_step = min_epochs - epochs = hyper.hp.quniform(epochs_key, min_epochs, max_epochs, min_epochs) - stopping_patience = hyper.hp.quniform(stopping_key, min_patience, max_patience, 0.05) + stopping_patience = hyper.hp.quniform(stopping_key, min_patience, max_patience, 0.05) self._update_param(epochs_key, epochs) self._update_param(stopping_key, stopping_patience) - def optimizer(self, names = None, min_lr = 0.0005, max_lr = 0.5): + def optimizer(self, names=None, min_lr=0.0005, max_lr=0.5): # But this might be a conditional thing and not all of the possible options be dictionaries """ This function look at the optimizers implemented in MetaModel and adds the learning rate to (only) @@ -82,10 +86,10 @@ def optimizer(self, names = None, min_lr = 0.0005, max_lr = 0.5): - learning rate """ if names is None: - names = ['RMSprop'] + names = ["RMSprop"] - opt_key = 'optimizer' - lr_key = 'learning_rate' + opt_key = "optimizer" + lr_key = "learning_rate" optimizer_dict = MetaModel.optimizers choices = [] @@ -94,7 +98,7 @@ def optimizer(self, names = None, min_lr = 0.0005, max_lr = 0.5): max_lr_exp = np.log(max_lr) lr_choice = hyper.hp.loguniform(lr_key, min_lr_exp, max_lr_exp) - if names == 'ALL': + if names == "ALL": names = optimizer_dict.keys() for opt_name in names: @@ -103,29 +107,26 @@ def optimizer(self, names = None, min_lr = 0.0005, max_lr = 0.5): raise Exception("HyperScanner: Optimizer {0} not implemented in MetaModel.py".format(opt_name)) args = optimizer_dict[opt_name][1] - if 'lr' in args.keys(): - choices.append( { - opt_key: opt_name, - lr_key: lr_choice, - } ) + if "lr" in args.keys(): + choices.append({opt_key: opt_name, lr_key: lr_choice}) else: choices.append(opt_name) opt_val = hyper.hp.choice(opt_key, choices) # Tell the HyperScanner this key might contain a dictionary to store it separately - self._update_param(opt_key, opt_val, dkeys = [opt_key]) + self._update_param(opt_key, opt_val, dkeys=[opt_key]) - def positivity(self, min_multiplier = 1.01, max_multiplier = 1.3, min_initial=0.5, max_initial=100): + def positivity(self, min_multiplier=1.01, max_multiplier=1.3, min_initial=0.5, max_initial=100): """ Modifies - pos_multiplier - pos_initial """ - mul_key = 'pos_multiplier' + mul_key = "pos_multiplier" if not min_initial and not max_initial: ini_key = None else: - ini_key = 'pos_initial' + ini_key = "pos_initial" mul_val = hyper.hp.uniform(mul_key, min_multiplier, max_multiplier) self._update_param(mul_key, mul_val) @@ -136,9 +137,16 @@ def positivity(self, min_multiplier = 1.01, max_multiplier = 1.3, min_initial=0. ini_val = hyper.hp.loguniform(ini_key, min_initial, max_initial) self._update_param(ini_key, ini_val) - def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, - activations = None, initializers = None, - layer_types = None, max_drop = 0.0): + def NN_architecture( + self, + n_layers=None, + max_units=50, + min_units=5, + activations=None, + initializers=None, + layer_types=None, + max_drop=0.0, + ): """ Uses all the given information to generate the parameters for the NN - nodes_per_layer @@ -148,18 +156,18 @@ def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, - dropout """ if activations is None: - activations = ['sigmoid', 'tanh'] + activations = ["sigmoid", "tanh"] if initializers is None: - initializers = ['glorot_normal'] + initializers = ["glorot_normal"] if n_layers is None: n_layers = [1, 2, 5] if layer_types is None: - layer_types = ['dense'] + layer_types = ["dense"] # Do we want to fix or generate dinamically the units? for now let's fix # there will be time for more sofisticated functions - act_key = 'activation_per_layer' - nodes_key = 'nodes_per_layer' + act_key = "activation_per_layer" + nodes_key = "nodes_per_layer" # the information contained in the variable is indeed the number of nodes per layer e.g. [5,10,30] # but the information the user will be interested in is how many layers are there... @@ -167,18 +175,17 @@ def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, act_choices = [] for afun in activations: # Just generate an array with as many copies of the str as the maximum number of layers - cop = [afun]*n_layers[-1] + cop = [afun] * n_layers[-1] # And append a linear at the end - cop.append('linear') + cop.append("linear") act_choices.append(cop) - nodes_choices = [] for n in n_layers: units = [] for i in range(n): # We can even play games as lowering the maximum as the number of layers grows - units_label = 'nl{1}:-{0}/{1}'.format(i, n) + units_label = "nl{1}:-{0}/{1}".format(i, n) units.append(hyper.hp.quniform(units_label, min_units, max_units, 5)) # And then the last one is a dense with 8 units @@ -188,12 +195,11 @@ def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, act_functions = hyper.hp.choice(act_key, act_choices) nodes = hyper.hp.choice(nodes_key, nodes_choices) - # Now let's select the initializers looking at the ones implemented in MetaLayer - ini_key = 'initializer' + ini_key = "initializer" imp_inits = MetaLayer.initializers imp_init_names = imp_inits.keys() - if initializers == 'ALL': + if initializers == "ALL": initializers = imp_init_names ini_choices = [] @@ -208,14 +214,14 @@ def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, # Finally select the layer types if layer_types: - layer_key = 'layer_type' + layer_key = "layer_type" layer_choices = hyper.hp.choice(layer_key, layer_types) self._update_param(layer_key, layer_choices) # And add the dropout parameter - drop_key = 'dropout' + drop_key = "dropout" n_drops = 3 - drop_step = max_drop/n_drops + drop_step = max_drop / n_drops drop_val = hyper.hp.quniform(drop_key, 0.0, max_drop, drop_step) self._update_param(act_key, act_functions) diff --git a/n3fit/ModelTrainer.py b/n3fit/ModelTrainer.py index 96b327b1df..3fd4deeb84 100644 --- a/n3fit/ModelTrainer.py +++ b/n3fit/ModelTrainer.py @@ -17,15 +17,16 @@ from backends import MetaModel, clear_backend_state # If an experiment matches this name, it will not be included int he training -TESTNAME = 'TEST' +TESTNAME = "TEST" # Weights for the hyperopt cost function test_multiplier = 0.5 validation_multiplier = 0.5 + class ModelTrainer: - def __init__(self, exp_info, pos_info, flavinfo, nnseed, - pass_status = 'ok', failed_status = 'fail', - log = None, debug = False): + def __init__( + self, exp_info, pos_info, flavinfo, nnseed, pass_status="ok", failed_status="fail", log=None, debug=False + ): """ - exp_info: list of dictionaries containing experiments - pos_info: list of dictionaries containing positivity sets @@ -63,33 +64,14 @@ def __init__(self, exp_info, pos_info, flavinfo, nnseed, # Initialize the dictionaries which contain all fitting information self.input_list = [] self.ndata_dict = {} - self.training = { - 'output' : [], - 'expdata' : [], - 'losses' : [], - 'ndata': 0, - 'model' : None, - 'posdatasets' : [] - } - self.validation = { - 'output' : [], - 'expdata' : [], - 'losses' : [], - 'ndata': 0, - 'model' : None, - } - self.experimental = { - 'output' : [], - 'expdata' : [], - 'losses' : [], - 'ndata': 0, - 'model' : None, - } + self.training = {"output": [], "expdata": [], "losses": [], "ndata": 0, "model": None, "posdatasets": []} + self.validation = {"output": [], "expdata": [], "losses": [], "ndata": 0, "model": None} + self.experimental = {"output": [], "expdata": [], "losses": [], "ndata": 0, "model": None} self.test_dict = None self._fill_the_dictionaries() - if self.validation['ndata'] == 0: + if self.validation["ndata"] == 0: self.no_validation = True new_dict = {} for key, item in self.ndata_dict.items(): @@ -97,7 +79,7 @@ def __init__(self, exp_info, pos_info, flavinfo, nnseed, continue new_dict[key + "_vl"] = item self.ndata_dict.update(new_dict) - self.validation['expdata'] = self.training['expdata'] + self.validation["expdata"] = self.training["expdata"] else: self.no_validation = False @@ -105,7 +87,7 @@ def set_model_file(self, model_file): """ If a model_file is set the training model will try to get the weights form here """ self.model_file = model_file - def set_hyperopt(self, on, keys = None): + def set_hyperopt(self, on, keys=None): """ Set hyperopt options on and off (mostly suppresses some printing) """ if keys is None: keys = [] @@ -135,37 +117,37 @@ def _fill_the_dictionaries(self): - number of experimental points (ndata) """ for exp_dict in self.exp_info: - if exp_dict['name'] == TESTNAME: + if exp_dict["name"] == TESTNAME: self.test_dict = { - 'output' : [], - 'expdata' : exp_dict['expdata_true'], - 'losses' : [], - 'ndata' : exp_dict['ndata'] + exp_dict['ndata_vl'], - 'model' : None, - } + "output": [], + "expdata": exp_dict["expdata_true"], + "losses": [], + "ndata": exp_dict["ndata"] + exp_dict["ndata_vl"], + "model": None, + } continue - self.training['expdata'].append(exp_dict['expdata']) - self.validation['expdata'].append(exp_dict['expdata_vl']) - self.experimental['expdata'].append(exp_dict['expdata_true']) + self.training["expdata"].append(exp_dict["expdata"]) + self.validation["expdata"].append(exp_dict["expdata_vl"]) + self.experimental["expdata"].append(exp_dict["expdata_true"]) - nd_tr = exp_dict['ndata'] - nd_vl = exp_dict['ndata_vl'] + nd_tr = exp_dict["ndata"] + nd_vl = exp_dict["ndata_vl"] - self.ndata_dict[exp_dict['name']] = nd_tr - self.ndata_dict[exp_dict['name'] + "_vl"] = nd_vl + self.ndata_dict[exp_dict["name"]] = nd_tr + self.ndata_dict[exp_dict["name"] + "_vl"] = nd_vl - self.training['ndata'] += nd_tr - self.validation['ndata'] += nd_vl - self.experimental['ndata'] += nd_tr + nd_vl + self.training["ndata"] += nd_tr + self.validation["ndata"] += nd_vl + self.experimental["ndata"] += nd_tr + nd_vl for pos_dict in self.pos_info: - self.training['expdata'].append( pos_dict['expdata'] ) - self.ndata_dict[pos_dict['name']] = pos_dict['ndata'] - self.training['posdatasets'].append(pos_dict['name']) + self.training["expdata"].append(pos_dict["expdata"]) + self.ndata_dict[pos_dict["name"]] = pos_dict["ndata"] + self.training["posdatasets"].append(pos_dict["name"]) - self.ndata_dict['total_tr'] = self.training['ndata'] - self.ndata_dict['total_vl'] = self.validation['ndata'] - self.ndata_dict['total'] = self.experimental['ndata'] + self.ndata_dict["total_tr"] = self.training["ndata"] + self.ndata_dict["total_vl"] = self.validation["ndata"] + self.ndata_dict["total"] = self.experimental["ndata"] def _model_generation(self): """ @@ -181,9 +163,9 @@ def _model_generation(self): input_list = self.input_list # Create the training, validation and true (data w/o replica) models: - tr_model = MetaModel(input_list, self._pdf_injection(self.training['output'])) - vl_model = MetaModel(input_list, self._pdf_injection(self.validation['output'])) - true_model = MetaModel(input_list, self._pdf_injection(self.experimental['output'])) + tr_model = MetaModel(input_list, self._pdf_injection(self.training["output"])) + vl_model = MetaModel(input_list, self._pdf_injection(self.validation["output"])) + true_model = MetaModel(input_list, self._pdf_injection(self.experimental["output"])) if self.model_file: # If a model file is given, load the weights from there @@ -194,22 +176,21 @@ def _model_generation(self): if self.print_summary: tr_model.summary() - fake_opt = 'RMSprop' + fake_opt = "RMSprop" fake_lr = 0.01 # Compile true and validation with fake lr/optimizer - vl_model.compile( optimizer_name = fake_opt, learning_rate = fake_lr, loss = self.validation['losses']) - true_model.compile( optimizer_name = fake_opt, learning_rate = fake_lr, loss = self.experimental['losses'] ) + vl_model.compile(optimizer_name=fake_opt, learning_rate=fake_lr, loss=self.validation["losses"]) + true_model.compile(optimizer_name=fake_opt, learning_rate=fake_lr, loss=self.experimental["losses"]) if self.test_dict: # If a test_dict was given, create and compile also the test model - test_model = MetaModel(input_list, self._pdf_injection(self.test_dict['output'])) - test_model.compile( optimizer_name = fake_opt, learning_rate = fake_lr, loss = self.test_dict['losses'] ) - self.test_dict['model'] = test_model - - self.training['model'] = tr_model - self.validation['model'] = vl_model - self.experimental['model'] = true_model + test_model = MetaModel(input_list, self._pdf_injection(self.test_dict["output"])) + test_model.compile(optimizer_name=fake_opt, learning_rate=fake_lr, loss=self.test_dict["losses"]) + self.test_dict["model"] = test_model + self.training["model"] = tr_model + self.validation["model"] = vl_model + self.experimental["model"] = true_model def _reset_observables(self): """ @@ -219,7 +200,7 @@ def _reset_observables(self): or be obliterated when the backend state is reset """ self.input_list = [] - for key in ['output', 'losses']: + for key in ["output", "losses"]: self.training[key] = [] self.validation[key] = [] self.experimental[key] = [] @@ -233,7 +214,6 @@ def _pdf_injection(self, olist): """ return [o(self.layer_pdf) for o in olist] - ############################################################################ # # Parametizable functions # # # @@ -260,55 +240,55 @@ def _generate_observables(self, params): self.log_info("Generating layers") # two parameters are used here which might go to the hyperopt - pos_multiplier = params['pos_multiplier'] # how much to increase the positivity penalty each 100 epochs - pos_initial = params['pos_initial'] + pos_multiplier = params["pos_multiplier"] # how much to increase the positivity penalty each 100 epochs + pos_initial = params["pos_initial"] # Now we need to loop over all dictionaries (First exp_info, then pos_info) for exp_dict in self.exp_info: if not self.mode_hyperopt: - self.log_info("Generating layers for experiment {0}".format(exp_dict['name'])) + self.log_info("Generating layers for experiment {0}".format(exp_dict["name"])) exp_layer = model_gen.observable_generator(exp_dict) # Save the input(s) corresponding to this experiment - self.input_list += exp_layer['inputs'] + self.input_list += exp_layer["inputs"] - if exp_dict['name'] == TESTNAME and self.test_dict: + if exp_dict["name"] == TESTNAME and self.test_dict: # If this is the test set, fill the dictionary and stop here - self.test_dict['output'].append( exp_layer['output'] ) - self.test_dict['losses'].append( exp_layer['loss'] ) + self.test_dict["output"].append(exp_layer["output"]) + self.test_dict["losses"].append(exp_layer["loss"]) continue # Now save the observable layer, the losses and the experimental data - self.training['output'].append( exp_layer['output_tr'] ) - self.validation['output'].append( exp_layer['output_vl'] ) - self.experimental['output'].append( exp_layer['output'] ) + self.training["output"].append(exp_layer["output_tr"]) + self.validation["output"].append(exp_layer["output_vl"]) + self.experimental["output"].append(exp_layer["output"]) - self.training['losses'].append( exp_layer['loss_tr'] ) - self.validation['losses'].append( exp_layer['loss_vl'] ) - self.experimental['losses'].append( exp_layer['loss'] ) + self.training["losses"].append(exp_layer["loss_tr"]) + self.validation["losses"].append(exp_layer["loss_vl"]) + self.experimental["losses"].append(exp_layer["loss"]) # Finally generate the positivity penalty for pos_dict in self.pos_info: if not self.mode_hyperopt: - self.log_info("Generating positivity penalty for {0}".format(pos_dict['name'])) - pos_layer = model_gen.observable_generator(pos_dict, - positivity_initial = pos_initial, positivity_multiplier = pos_multiplier - ) + self.log_info("Generating positivity penalty for {0}".format(pos_dict["name"])) + pos_layer = model_gen.observable_generator( + pos_dict, positivity_initial=pos_initial, positivity_multiplier=pos_multiplier + ) # The input list is still common - self.input_list += pos_layer['inputs'] + self.input_list += pos_layer["inputs"] # The positivity all falls to the training - self.training['output'].append( pos_layer['output_tr'] ) - self.training['losses'].append( pos_layer['loss_tr'] ) + self.training["output"].append(pos_layer["output_tr"]) + self.training["losses"].append(pos_layer["loss_tr"]) # Save the positivity multiplier into the training dictionary as it will be used during training - self.training['pos_multiplier'] = pos_multiplier + self.training["pos_multiplier"] = pos_multiplier # If there is no validation, overwrite the values of validation with the values of training -# if self.no_validation: -# self.validation['losses'] = self.training['losses'] -# self.validation['output'] = self.training['output'] + # if self.no_validation: + # self.validation['losses'] = self.training['losses'] + # self.validation['output'] = self.training['output'] def _generate_pdf(self, params): """ @@ -333,23 +313,28 @@ def _generate_pdf(self, params): self.log_info("Generating PDF layer") # Set the parameters of the NN - nodes_per_layer = params['nodes_per_layer'] - activation_per_layer = params['activation_per_layer'] - initializer = params['initializer'] - layer_type = params['layer_type'] - dropout = params['dropout'] + nodes_per_layer = params["nodes_per_layer"] + activation_per_layer = params["activation_per_layer"] + initializer = params["initializer"] + layer_type = params["layer_type"] + dropout = params["dropout"] # Generate the NN layers layer_pdf, layers = model_gen.pdfNN_layer_generator( - nodes = nodes_per_layer, activations = activation_per_layer, layer_type = layer_type, - flav_info = self.flavinfo, seed = self.NNseed, initializer_name = initializer, dropout = dropout - ) + nodes=nodes_per_layer, + activations=activation_per_layer, + layer_type=layer_type, + flav_info=self.flavinfo, + seed=self.NNseed, + initializer_name=initializer, + dropout=dropout, + ) integrator_input = None if self.impose_sumrule: # Impose the sumrule # Inyect here momentum sum rule, effecively modifying layer_pdf - layer_pdf, integrator_input = constrains.msr_impose(layers['fitbasis'], layer_pdf) + layer_pdf, integrator_input = constrains.msr_impose(layers["fitbasis"], layer_pdf) self.input_list.append(integrator_input) self.layer_pdf = layer_pdf @@ -364,18 +349,15 @@ def _model_compilation(self, params): - learning_rate - optimizer """ - training_model = self.training['model'] - loss_list = self.training['losses'] + training_model = self.training["model"] + loss_list = self.training["losses"] # Before compilation, set all parameters as given in the params dictionary - learning_rate = params['learning_rate'] + learning_rate = params["learning_rate"] # Choose the optimizer, compile the net and print summary - opt_name = params['optimizer'] - - training_model.compile( - optimizer_name = opt_name, learning_rate = learning_rate, loss = loss_list - ) + opt_name = params["optimizer"] + training_model.compile(optimizer_name=opt_name, learning_rate=learning_rate, loss=loss_list) def _train_and_fit(self, validation_object, epochs): """ @@ -385,24 +367,22 @@ def _train_and_fit(self, validation_object, epochs): Every 100 epochs the positivitiy will be updated with self.training['pos_multiplier'] """ - training_model = self.training['model'] - exp_list = self.training['expdata'] - pos_multiplier = self.training['pos_multiplier'] + training_model = self.training["model"] + exp_list = self.training["expdata"] + pos_multiplier = self.training["pos_multiplier"] # Train the model for the number of epochs given for epoch in range(epochs): - out = training_model.fit( - x = None, y = exp_list, epochs = 1, verbose=False, shuffle=False - ) + out = training_model.fit(x=None, y=exp_list, epochs=1, verbose=False, shuffle=False) passes = validation_object.monitor_chi2(out, epoch) if validation_object.stop_here(): break - if (epoch+1)%100 == 0: - for pos_ds in self.training['posdatasets']: + if (epoch + 1) % 100 == 0: + for pos_ds in self.training["posdatasets"]: name = pos_ds curr_w = training_model.get_layer(name).get_weights() - new_w = [curr_w[0]*pos_multiplier] + new_w = [curr_w[0] * pos_multiplier] training_model.get_layer(name).set_weights(new_w) # Report a "good" training only if there was no NaNs and there was at least a point which passed positivity @@ -452,22 +432,31 @@ def hyperparametizable(self, params): # Generate the validation_object # this object golds statistical information about the fit and it can be used to perform stopping - epochs = int(params['epochs']) - stopping_patience = params['stopping_patience'] - stopping_epochs = epochs*stopping_patience + epochs = int(params["epochs"]) + stopping_patience = params["stopping_patience"] + stopping_epochs = epochs * stopping_patience # If the tr/vl splitting is == 1, there will be no points in the validation so we use the training as val if self.no_validation: - validation_object = Statistics.Stat_Info( self.training['model'], self.training['expdata'], - self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs ) + validation_object = Statistics.Stat_Info( + self.training["model"], + self.training["expdata"], + self.ndata_dict, + total_epochs=epochs, + stopping_epochs=stopping_epochs, + ) else: - validation_object = Statistics.Stat_Info(self.validation['model'], self.validation['expdata'], - self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs ) + validation_object = Statistics.Stat_Info( + self.validation["model"], + self.validation["expdata"], + self.ndata_dict, + total_epochs=epochs, + stopping_epochs=stopping_epochs, + ) # Compile the training['model'] with the given parameters self._model_compilation(params) - ### Training loop passed = self._train_and_fit(validation_object, epochs) @@ -478,43 +467,43 @@ def hyperparametizable(self, params): validation_loss = validation_object.loss() # Compute experimental loss - exp_final = self.experimental['model'].evaluate( x = None, y = self.experimental['expdata'], batch_size = 1 ) + exp_final = self.experimental["model"].evaluate(x=None, y=self.experimental["expdata"], batch_size=1) try: - experimental_loss = exp_final[0] / self.experimental['ndata'] + experimental_loss = exp_final[0] / self.experimental["ndata"] except IndexError: - experimental_loss = exp_final / self.experimental['ndata'] + experimental_loss = exp_final / self.experimental["ndata"] # Compute the testing loss if it was given if self.test_dict: # Generate the 'true' chi2 with the experimental model but only for models that were stopped - target_model = self.test_dict['model'] - target_data = self.test_dict['expdata'] - out_final = target_model.evaluate( x = None, y = target_data, verbose = False, batch_size = 1) + target_model = self.test_dict["model"] + target_data = self.test_dict["expdata"] + out_final = target_model.evaluate(x=None, y=target_data, verbose=False, batch_size=1) try: - testing_loss = out_final[0] / self.test_dict['ndata'] + testing_loss = out_final[0] / self.test_dict["ndata"] except IndexError: - testing_loss = out_final / self.test_dict['ndata'] + testing_loss = out_final / self.test_dict["ndata"] else: testing_loss = 0.0 if self.mode_hyperopt: - final_loss = validation_multiplier*validation_loss - final_loss += test_multiplier*testing_loss - final_loss /= (test_multiplier + validation_multiplier) - arc_lengths = constrains.compute_arclength(layers['fitbasis'], verbose = False) + final_loss = validation_multiplier * validation_loss + final_loss += test_multiplier * testing_loss + final_loss /= test_multiplier + validation_multiplier + arc_lengths = constrains.compute_arclength(layers["fitbasis"], verbose=False) else: final_loss = experimental_loss arc_lengths = None dict_out = { - 'loss' : final_loss, - 'status' : passed, - 'arc_lengths' : arc_lengths, - 'training_loss' : validation_object.tr_loss(), - 'validation_loss' : validation_loss, - 'experimental_loss' : experimental_loss, - 'testing_loss' : testing_loss, - } + "loss": final_loss, + "status": passed, + "arc_lengths": arc_lengths, + "training_loss": validation_object.tr_loss(), + "validation_loss": validation_loss, + "experimental_loss": experimental_loss, + "testing_loss": testing_loss, + } if self.mode_hyperopt: # If we are using hyperopt we don't need to output any other information @@ -524,10 +513,10 @@ def hyperparametizable(self, params): # to generate the output pdf, check the arc-length, gather stats, etc # some of them are already attributes of the class so they are redundant here # but I think it's good to present them explicitly - dict_out['layer_pdf'] = self.layer_pdf - dict_out['layers'] = layers - dict_out['integrator_input'] = integrator_input - dict_out['validation_object'] = validation_object - dict_out['training'] = self.training + dict_out["layer_pdf"] = self.layer_pdf + dict_out["layers"] = layers + dict_out["integrator_input"] = integrator_input + dict_out["validation_object"] = validation_object + dict_out["training"] = self.training return dict_out diff --git a/n3fit/Statistics.py b/n3fit/Statistics.py index a24579d282..9776b223ca 100644 --- a/n3fit/Statistics.py +++ b/n3fit/Statistics.py @@ -1,11 +1,20 @@ import numpy as np from matplotlib import pyplot as pl -class Stat_Info: - def __init__(self, vl_model, vl_data, ndata_dict, threshold_positivity = 1e-6, - chi2_threshold = 3.0, save_all_each = 100, total_epochs = 0, - stopping_epochs = 7000, dont_stop = False): +class Stat_Info: + def __init__( + self, + vl_model, + vl_data, + ndata_dict, + threshold_positivity=1e-6, + chi2_threshold=3.0, + save_all_each=100, + total_epochs=0, + stopping_epochs=7000, + dont_stop=False, + ): """ To instantiate the Stats_Info object we need: - vl_model: The validation model, which has the same PDF layer as the training model @@ -19,7 +28,7 @@ def __init__(self, vl_model, vl_data, ndata_dict, threshold_positivity = 1e-6, if the chi2 doesnt go below the minimum after stopping_epochs, we stop - dont_stop: dont_stop anyway - """ # TODO: this function has outgrown its initial scope and some refactoring is needed + """ # TODO: this function has outgrown its initial scope and some refactoring is needed self.vl_model = vl_model self.vl_data = vl_data @@ -42,12 +51,12 @@ def __init__(self, vl_model, vl_data, ndata_dict, threshold_positivity = 1e-6, self.threshold = chi2_threshold # Number of points per experiment - self.ndata_tr = max(ndata_dict['total_tr'], 1) - self.ndata_vl = max(ndata_dict['total_vl'], 1) + self.ndata_tr = max(ndata_dict["total_tr"], 1) + self.ndata_vl = max(ndata_dict["total_vl"], 1) self.ndata_dict = ndata_dict self.exp_names = [] for i in ndata_dict.keys(): - if i.endswith('_vl') or i.startswith(('POS', 'total', 'ALL')): + if i.endswith("_vl") or i.startswith(("POS", "total", "ALL")): continue self.exp_names.append(i) @@ -72,10 +81,10 @@ def _clean_full_stats(self): for exp in self.exp_names: self.all_tr_chi2[exp] = [] self.all_vl_chi2[exp] = [] - self.all_tr_chi2['Total'] = [] - self.all_vl_chi2['Total'] = [] + self.all_tr_chi2["Total"] = [] + self.all_vl_chi2["Total"] = [] - def reset(self, stopping_epochs = None): + def reset(self, stopping_epochs=None): """ Sometimes it might be necessary to reset the statistics This only require resetting some of the variables and not all @@ -89,7 +98,6 @@ def reset(self, stopping_epochs = None): if stopping_epochs: self.stopping_epochs = stopping_epochs - def _compute_validation(self): """ Evaluates the validation model vl_list: a list of chi2, where the first element is the sum of all others @@ -97,7 +105,7 @@ def _compute_validation(self): Returns the list already normalised to the number of points """ - vl_list = self.vl_model.evaluate(x = None, y = self.vl_data, verbose = False, batch_size = 1) + vl_list = self.vl_model.evaluate(x=None, y=self.vl_data, verbose=False, batch_size=1) vl_dict = {} try: total = vl_list[0] / self.ndata_vl @@ -112,7 +120,6 @@ def _compute_validation(self): if len(vl_list) != len(self.exp_names): vl_list = [0.0 for i in self.exp_names] - # This loop relies on the information that comes through the input dictionaries to be accurate # It also relies in the ordered dictionaries introduced at some point in python 3.6/7 for chi2, exp in zip(vl_list, self.exp_names): @@ -126,13 +133,13 @@ def _parse_training(self, training_info): is already normalised to the number of points per experiment """ try: hobj = training_info.history - except AttributeError: # So it works whether we pass the out our the out.history + except AttributeError: # So it works whether we pass the out our the out.history hobj = training_info # Since the history object can have more than one loss (if epochs != 1) but it is always a list # Save them as the mean - total = np.mean(hobj['loss']) / self.ndata_tr + total = np.mean(hobj["loss"]) / self.ndata_tr tr_chi2 = {} for exp in self.exp_names: chi2 = np.mean(hobj[exp + "_loss"]) / self.ndata_dict[exp] @@ -140,8 +147,6 @@ def _parse_training(self, training_info): return total, tr_chi2 - - def monitor_chi2(self, training_info, epoch): """ Function to be called at the end of every epoch. Stores the total chi2 of the training set as well as the @@ -166,7 +171,7 @@ def monitor_chi2(self, training_info, epoch): self.best_chi2 = 1e10 return False - if vl_chi2 == 0.0: # If there is no masking, training and validation are the same thing + if vl_chi2 == 0.0: # If there is no masking, training and validation are the same thing vl_chi2 = tr_chi2 all_vl = all_tr @@ -187,23 +192,23 @@ def monitor_chi2(self, training_info, epoch): elif not self.w_best_chi2: self.stopping_degree = 0 - if (epoch+1) % 100 == 0: + if (epoch + 1) % 100 == 0: self.all_epochs.append(epoch + 1) for exp in self.exp_names: self.all_tr_chi2[exp].append(all_tr[exp]) self.all_vl_chi2[exp].append(all_vl[exp]) - self.all_tr_chi2['Total'].append(tr_chi2) - self.all_vl_chi2['Total'].append(vl_chi2) + self.all_tr_chi2["Total"].append(tr_chi2) + self.all_vl_chi2["Total"].append(vl_chi2) self.print_current_stats() if self.stopping_degree > self.stopping_epochs: self.stop_now = True self.epoch_of_the_stop = epoch - self.reload_model(force = True) + self.reload_model(force=True) return True - def reload_model(self, force = False): + def reload_model(self, force=False): if (self.not_reloaded or force) and self.w_best_chi2: self.not_reloaded = False self.vl_model.set_weights(self.w_best_chi2) @@ -232,7 +237,7 @@ def print_current_stats(self): """ epoch = self.all_epochs[-1] epochs = self.total_epochs - total = self.all_tr_chi2['Total'][-1] + total = self.all_tr_chi2["Total"][-1] total_str = "\nAt epoch {0}/{1}, total loss: {2}".format(epoch, epochs, total) partials = "" @@ -243,23 +248,22 @@ def print_current_stats(self): if partials: print(" > Partial losses: " + partials) - total_vl = self.all_vl_chi2['Total'][-1] + total_vl = self.all_vl_chi2["Total"][-1] print(" > Validation loss at this point: {0}".format(total_vl)) def plot(self): print("Plotting validation loss") - pl.plot(self.epochs, self.tr_chi2, label = 'Training') - pl.plot(self.epochs, self.vl_chi2, label = 'Validation') + pl.plot(self.epochs, self.tr_chi2, label="Training") + pl.plot(self.epochs, self.vl_chi2, label="Validation") pl.legend() pl.show() - def check_positivity(self, training_info): """ Checks whether positivity passes """ chi2 = 0.0 try: hobj = training_info.history - except AttributeError: # So it works whether we pass the out our the out.history + except AttributeError: # So it works whether we pass the out our the out.history hobj = training_info for key, item in hobj.items(): @@ -271,7 +275,6 @@ def check_positivity(self, training_info): else: return True - # Str functions def positivity_pass(self): if self.positivity: @@ -280,12 +283,12 @@ def positivity_pass(self): return "POS_VETO" def preproc_str(self): - preprocessing = self.vl_model.get_layer('pdf_prepro') + preprocessing = self.vl_model.get_layer("pdf_prepro") alphabeta = preprocessing.get_weights() file_list = ["Alpha Beta"] for i in range(0, len(alphabeta), 2): - file_list.append( "\n{0} {1}".format(alphabeta[i][0], alphabeta[i+1][0])) - file_list.append('\n') + file_list.append("\n{0} {1}".format(alphabeta[i][0], alphabeta[i + 1][0])) + file_list.append("\n") return file_list def chi2exps_str(self): @@ -297,8 +300,8 @@ def chi2exps_str(self): tr = self.all_tr_chi2[exp][i] vl = self.all_vl_chi2[exp][i] strout += "\n{0}: {1} {2}".format(exp, tr, vl) - tr = self.all_tr_chi2['Total'][i] - vl = self.all_vl_chi2['Total'][i] + tr = self.all_tr_chi2["Total"][i] + vl = self.all_vl_chi2["Total"][i] strout += "\nTotal: training = {0} validation = {1}\n".format(tr, vl) file_list.append(strout) return file_list diff --git a/n3fit/backends/keras_backend/MetaLayer.py b/n3fit/backends/keras_backend/MetaLayer.py index 1d79983e25..1ea27f6d09 100644 --- a/n3fit/backends/keras_backend/MetaLayer.py +++ b/n3fit/backends/keras_backend/MetaLayer.py @@ -14,6 +14,7 @@ from keras.initializers import Constant, RandomUniform, glorot_normal, glorot_uniform from keras.constraints import MinMaxNorm + class MetaLayer(Layer): """ This metalayer function must contain all backend-dependent functions @@ -27,13 +28,13 @@ class MetaLayer(Layer): # Define in this dictionary new initializers as well as the arguments they accept (with default values if needed be) initializers = { - 'random_uniform' : (RandomUniform, {'minval':-0.5, 'maxval':0.5}), - 'glorot_uniform' : (glorot_uniform, {}), - 'glorot_normal' : (glorot_normal, {}), - } + "random_uniform": (RandomUniform, {"minval": -0.5, "maxval": 0.5}), + "glorot_uniform": (glorot_uniform, {}), + "glorot_normal": (glorot_normal, {}), + } # Building function - def builder_helper(self, name, kernel_shape, initializer, trainable = True, constraint = None): + def builder_helper(self, name, kernel_shape, initializer, trainable=True, constraint=None): """ Creates a kernel that should be saved as an attribute of the caller class name: name of the kernel @@ -43,21 +44,17 @@ def builder_helper(self, name, kernel_shape, initializer, trainable = True, cons constraint: one of the constraints from this class (actually, any keras constraints) """ kernel = self.add_weight( - name = name, - shape = kernel_shape, - initializer = initializer, - trainable = trainable, - constraint = constraint, - ) + name=name, shape=kernel_shape, initializer=initializer, trainable=trainable, constraint=constraint + ) return kernel # Implemented initializers @staticmethod def init_constant(value): - return Constant(value = value) + return Constant(value=value) @staticmethod - def select_initializer(ini_name, seed = None, **kwargs): + def select_initializer(ini_name, seed=None, **kwargs): """ Selects one of the initializers (which does initialize, i.e., not constant) All of them should accept seed @@ -65,17 +62,16 @@ def select_initializer(ini_name, seed = None, **kwargs): try: ini_tuple = MetaLayer.initializers[ini_name] except KeyError: - raise Exception(f'[MetaLayer.select_initializer] Optimizer not found {ini_name}') + raise Exception(f"[MetaLayer.select_initializer] Optimizer not found {ini_name}") ini_class = ini_tuple[0] ini_args = ini_tuple[1] - ini_args['seed'] = seed + ini_args["seed"] = seed for key, value in kwargs.items(): if key in ini_args.keys(): ini_args[key] = value - return ini_class( **ini_args ) - + return ini_class(**ini_args) # Implemented constraint def constraint_MinMaxWeight(self, min_value, max_value): @@ -83,17 +79,18 @@ def constraint_MinMaxWeight(self, min_value, max_value): Small override to the MinMaxNorm Keras class to not look at the absolute value This version looks at the sum instead of at the norm """ + class MinMaxWeight(MinMaxNorm): def __init__(self, **kwargs): super(MinMaxWeight, self).__init__(**kwargs) def __call__(self, w): norms = K.sum(w, axis=self.axis, keepdims=True) - desired = (self.rate * K.clip(norms, self.min_value, self.max_value) + - (1 - self.rate) * norms) - w *= (desired / (K.epsilon() + norms)) + desired = self.rate * K.clip(norms, self.min_value, self.max_value) + (1 - self.rate) * norms + w *= desired / (K.epsilon() + norms) return w - return MinMaxWeight(min_value = min_value, max_value = max_value) + + return MinMaxWeight(min_value=min_value, max_value=max_value) # Make numpy array into a tensor def np_to_tensor(self, np_array, **kwargs): @@ -107,28 +104,28 @@ def tensor_ones(self, shape, **kwargs): """ Generates a tensor of ones of the given shape """ - return K.ones( shape, **kwargs) + return K.ones(shape, **kwargs) - def many_replication(self, grid, replications, axis = 0, **kwargs): + def many_replication(self, grid, replications, axis=0, **kwargs): """ Generates a tensor with one extra dimension: a repetition of "grid" n times along the given axis from keras documentation: If x has shape (s1, s2, s3) and axis is 1, the output will have shape (s1, s2 * rep, s3) """ - return K.repeat_elements(grid, rep = replications, axis = axis, **kwargs) + return K.repeat_elements(grid, rep=replications, axis=axis, **kwargs) - def sum(self, tensor, axis = None, **kwargs): + def sum(self, tensor, axis=None, **kwargs): """ Computes the sum of the elements of the tensor """ - return K.sum(tensor, axis = axis, **kwargs) + return K.sum(tensor, axis=axis, **kwargs) def tensor_product(self, tensor_x, tensor_y, axes, **kwargs): """ Computes the tensordot product between tensor_x and tensor_y """ - return K.tf.tensordot(tensor_x, tensor_y, axes = axes, **kwargs) + return K.tf.tensordot(tensor_x, tensor_y, axes=axes, **kwargs) def transpose(self, tensor, **kwargs): """ @@ -136,20 +133,20 @@ def transpose(self, tensor, **kwargs): """ return K.transpose(tensor, **kwargs) - def boolean_mask(self, tensor, mask, axis = None, **kwargs): + def boolean_mask(self, tensor, mask, axis=None, **kwargs): """ Applies boolean mask to a tensor """ - return K.tf.boolean_mask(tensor, mask, axis = axis, **kwargs) + return K.tf.boolean_mask(tensor, mask, axis=axis, **kwargs) - def concatenate(self, tensor_list, axis = -1, target_shape = None): + def concatenate(self, tensor_list, axis=-1, target_shape=None): """ Concatenates a list of numbers or tenosr into a bigger tensor If the target shape is given, the output is reshaped to said shape """ - concatenated_tensor = K.concatenate(tensor_list, axis = axis) + concatenated_tensor = K.concatenate(tensor_list, axis=axis) if target_shape: - return K.reshape( concatenated_tensor, target_shape ) + return K.reshape(concatenated_tensor, target_shape) else: return concatenated_tensor @@ -160,4 +157,4 @@ def permute_dimensions(self, tensor, permutation, **kwargs): if permutation = (1,0,2) does the permutation: axis_0 -> axis_1, axis_1 -> axis_0, axis_2 -> axis_2 """ - return K.permute_dimensions( tensor, permutation , **kwargs) + return K.permute_dimensions(tensor, permutation, **kwargs) diff --git a/n3fit/backends/keras_backend/MetaModel.py b/n3fit/backends/keras_backend/MetaModel.py index 991ae24a72..3058f56976 100644 --- a/n3fit/backends/keras_backend/MetaModel.py +++ b/n3fit/backends/keras_backend/MetaModel.py @@ -37,7 +37,7 @@ class MetaModel(Model): ), } - def __init__(self, input_tensors, output_tensors, extra_tensors = None): + def __init__(self, input_tensors, output_tensors, extra_tensors=None): """ This class behaves as keras.models.Model with some add-ons: @@ -60,14 +60,14 @@ def __init__(self, input_tensors, output_tensors, extra_tensors = None): inputs = [] if isinstance(ii, list): for i in ii: - inputs.append( self._np_to_input(i) ) + inputs.append(self._np_to_input(i)) else: - inputs = [ self._np_to_input(ii) ] + inputs = [self._np_to_input(ii)] o_tensor = oo(*inputs) input_list += inputs output_list.append(o_tensor) - super (MetaModel, self).__init__( input_list, output_list ) + super(MetaModel, self).__init__(input_list, output_list) def _np_to_input(self, x): """ @@ -75,11 +75,11 @@ def _np_to_input(self, x): """ if isinstance(x, np.ndarray): tensor = K.constant(x) - return Input( tensor = tensor ) + return Input(tensor=tensor) else: return x - def compile(self, optimizer_name = 'RMSprop', learning_rate = 0.05, loss = None, **kwargs): + def compile(self, optimizer_name="RMSprop", learning_rate=0.05, loss=None, **kwargs): """ Compile the model given: - Optimizer @@ -89,15 +89,15 @@ def compile(self, optimizer_name = 'RMSprop', learning_rate = 0.05, loss = None, try: opt_tuple = self.optimizers[optimizer_name] except KeyError: - raise Exception(f'[MetaModel.compile] Optimizer not found {optimizer_name}') + raise Exception(f"[MetaModel.compile] Optimizer not found {optimizer_name}") opt_function = opt_tuple[0] opt_args = opt_tuple[1] - if 'lr' in opt_args.keys(): - opt_args['lr'] = learning_rate + if "lr" in opt_args.keys(): + opt_args["lr"] = learning_rate - opt_args['clipnorm'] = 1.0 + opt_args["clipnorm"] = 1.0 opt = opt_function(**opt_args) - super (MetaModel, self).compile(optimizer = opt, loss = loss, **kwargs) + super(MetaModel, self).compile(optimizer=opt, loss=loss, **kwargs) diff --git a/n3fit/backends/keras_backend/base_layers.py b/n3fit/backends/keras_backend/base_layers.py index d43fed50f7..009838d37d 100644 --- a/n3fit/backends/keras_backend/base_layers.py +++ b/n3fit/backends/keras_backend/base_layers.py @@ -24,6 +24,7 @@ def ReshapedLSTM(input_tensor): return the_lstm(reshaped) else: return the_lstm(input_tensor) + return ReshapedLSTM @@ -59,4 +60,4 @@ def base_layer_selector(layer_name, **kwargs): if key in layer_args.keys(): layer_args[key] = value - return layer_class( **layer_args ) + return layer_class(**layer_args) diff --git a/n3fit/backends/keras_backend/debug_mode.py b/n3fit/backends/keras_backend/debug_mode.py index 9f1808fbcb..ad47ff99d0 100644 --- a/n3fit/backends/keras_backend/debug_mode.py +++ b/n3fit/backends/keras_backend/debug_mode.py @@ -1,4 +1,4 @@ -def set_initial_state(debug = False, seed = 13): +def set_initial_state(debug=False, seed=13): """ Setting the initial state for debugging can be very tricky This is the only way of getting reproducible results for keras-tensorflow @@ -13,7 +13,7 @@ def set_initial_state(debug = False, seed = 13): import random as rn np.random.seed(seed) - use_seed = np.random.randint(0, pow(2,31)) + use_seed = np.random.randint(0, pow(2, 31)) rn.seed(use_seed) from keras import backend as K @@ -25,10 +25,12 @@ def set_initial_state(debug = False, seed = 13): return 0 + def clear_backend_state(debug): if not debug: print("Clearing session") from keras import backend as K + K.clear_session() # Don't open threads that you are not going to eat session_conf = K.tf.ConfigProto(intra_op_parallelism_threads=2, diff --git a/n3fit/backends/keras_backend/losses.py b/n3fit/backends/keras_backend/losses.py index ea4c0b710b..3ddb319e62 100644 --- a/n3fit/backends/keras_backend/losses.py +++ b/n3fit/backends/keras_backend/losses.py @@ -1,24 +1,30 @@ import keras.backend as K + def l_invcovmat(invcovmat_np): """ Returns a loss function such that: L = \sum_{ij} (yt - yp)_{i} invcovmat_{ij} (yt - yp)_{j} """ invcovmat = K.constant(invcovmat_np) + def true_loss(y_true, y_pred): # (yt - yp) * covmat * (yt - yp) - tmp = (y_true - y_pred) - right_dot = K.tf.tensordot(invcovmat, K.transpose(tmp), axes = 1) - return K.tf.tensordot(tmp, right_dot, axes = 1) + tmp = y_true - y_pred + right_dot = K.tf.tensordot(invcovmat, K.transpose(tmp), axes=1) + return K.tf.tensordot(tmp, right_dot, axes=1) + return true_loss -def l_positivity(alpha = 1e-7): + +def l_positivity(alpha=1e-7): """ Returns L = elu(y_pred) (considers y_true as 0) """ + def true_loss(y_true, y_pred): y = -y_pred - loss = K.elu(y, alpha = alpha) + loss = K.elu(y, alpha=alpha) return K.sum(loss) + return true_loss diff --git a/n3fit/backends/keras_backend/operations.py b/n3fit/backends/keras_backend/operations.py index b2d6ba3fe5..cf8e336d6e 100644 --- a/n3fit/backends/keras_backend/operations.py +++ b/n3fit/backends/keras_backend/operations.py @@ -6,14 +6,17 @@ from keras.layers import Input from keras import backend as K + def numpy_to_input(numpy_array): - return Input( tensor = K.constant(numpy_array)) + return Input(tensor=K.constant(numpy_array)) + # All operations must accept as an input a list or tuple of keras layers # with the same output shape # and return a keras operation with, again, the same output shape -def c_to_py_fun(op_name, name, default = 'ADD'): + +def c_to_py_fun(op_name, name, default="ADD"): """ Map between the NNPDF operations and the operations defined in this file Any new backend must implement such a mapping @@ -31,16 +34,18 @@ def c_to_py_fun(op_name, name, default = 'ADD'): return d[default] def operation_fun(o_list): - return d[op_name]( o_list, name = name ) + return d[op_name](o_list, name=name) return operation_fun + def op_multiply(o_list, **kwargs): """ Receives a list of layers of the same output size and multiply them element-wise """ return keras_multiply(o_list, **kwargs) + def op_multiply_dim(o_list, **kwargs): """ Bypass in order to multiply two layers with different output dimension @@ -52,24 +57,28 @@ def op_multiply_dim(o_list, **kwargs): create_operation = keras_Lambda(lambda inputs: inputs[0] * inputs[1]) return create_operation(o_list) + def op_null(o_list, **kwargs): """ Not a compound object, do nothing """ return o_list[0] + def op_add(o_list, **kwargs): """ Sum a list of layers with the same output dim """ return keras_add(o_list, **kwargs) + def op_subtract(o_list, **kwargs): """ Subtract all observables """ return keras_subtract(o_list) + def op_log(o_tensor, **kwargs): """ Computes the logarithm of the input @@ -87,6 +96,7 @@ def op_ratio(o_list, **kwargs): division_layer = keras_Lambda(lambda inputs: inputs[0] / inputs[1], **kwargs) return division_layer(o_list) + def op_asy(o_list, **kwargs): """ Perform the asymmetry operation on two observables @@ -96,7 +106,8 @@ def op_asy(o_list, **kwargs): subtraction = keras_subtract(o_list) addition = op_add(o_list) - return op_ratio( [subtraction, addition], **kwargs ) + return op_ratio([subtraction, addition], **kwargs) + def op_smn(o_list, **kwargs): """ @@ -104,6 +115,6 @@ def op_smn(o_list, **kwargs): """ if len(o_list) != 4: raise Exception("The number of observables is incorrect, operations.py:op_smn") - numer = op_add( o_list[:2] ) - denom = op_add( o_list[2:] ) - return op_ratio( [numer, denom], **kwargs ) + numer = op_add(o_list[:2]) + denom = op_add(o_list[2:]) + return op_ratio([numer, denom], **kwargs) diff --git a/n3fit/constrains.py b/n3fit/constrains.py index 4337eafc90..5094c80d1e 100644 --- a/n3fit/constrains.py +++ b/n3fit/constrains.py @@ -7,31 +7,33 @@ from backends import operations from backends import MetaModel + def gen_integration_input(nx): """ Generates a np.array (shaped (nx,1)) of nx elements where the nx/2 first elements are a logspace between 0 and 0.1 and the rest a linspace from 0.1 to 0 """ - lognx = int(nx/2) + lognx = int(nx / 2) linnx = int(nx - lognx) - xgrid_log = np.logspace(-9,-1, lognx + 1) - xgrid_lin = np.linspace(0.1,1, linnx) + xgrid_log = np.logspace(-9, -1, lognx + 1) + xgrid_lin = np.linspace(0.1, 1, linnx) xgrid = np.concatenate([xgrid_log[:-1], xgrid_lin]).reshape(nx, 1) spacing = [0.0] - for i in range(1,nx): - spacing.append( np.abs(xgrid[i-1]-xgrid[i]) ) + for i in range(1, nx): + spacing.append(np.abs(xgrid[i - 1] - xgrid[i])) spacing.append(0.0) weights = [] for i in range(nx): - weights.append( (spacing[i]+spacing[i+1])/2.0 ) + weights.append((spacing[i] + spacing[i + 1]) / 2.0) weights_array = np.array(weights).reshape(nx, 1) return xgrid, weights_array -def msr_impose(fit_layer, final_pdf_layer, verbose = False): + +def msr_impose(fit_layer, final_pdf_layer, verbose=False): """ This function receives: - pdf_fit: the 8-basis layer of PDF which we fit @@ -46,81 +48,81 @@ def msr_impose(fit_layer, final_pdf_layer, verbose = False): # 2. Prepare the pdf for integration # for that we need to multiply several flavours with 1/x - division_by_x = xDivide(size = nx) + division_by_x = xDivide(size=nx) + def pdf_integrand(x): - res = operations.op_multiply([ - division_by_x(x), fit_layer(x) - ]) + res = operations.op_multiply([division_by_x(x), fit_layer(x)]) return res # 3. Now create the integration layer (the layer that will simply integrate, given some weight - integrator = xIntegrator(weights_array, input_shape = (nx,)) + integrator = xIntegrator(weights_array, input_shape=(nx,)) # 4. Now create the normalization by selecting the right integrations - normalizer = MSR_Normalization(input_shape = (8,)) + normalizer = MSR_Normalization(input_shape=(8,)) # 5. Make the xgrid numpy array into a backend input layer so it can be given xgrid_input = operations.numpy_to_input(xgrid) - normalization = normalizer( - integrator( - pdf_integrand(xgrid_input) - ) - ) + normalization = normalizer(integrator(pdf_integrand(xgrid_input))) def ultimate_pdf(x): - return operations.op_multiply_dim( [final_pdf_layer(x), normalization] ) + return operations.op_multiply_dim([final_pdf_layer(x), normalization]) if verbose: -# only_int = integrator(pdf_integrand(xgrid_input)) -# modelito = MetaModel(xgrid_input, only_int) -# result = modelito.predict(x = None, steps = 1) + # only_int = integrator(pdf_integrand(xgrid_input)) + # modelito = MetaModel(xgrid_input, only_int) + # result = modelito.predict(x = None, steps = 1) print(" > > Generating model for the inyection layer which imposes MSR") - check_integration(ultimate_pdf, xgrid_input, verbose = True) + check_integration(ultimate_pdf, xgrid_input, verbose=True) # Save a reference to xgrid in ultimate_pdf, very useful for debugging ultimate_pdf.ref_xgrid = xgrid_input return ultimate_pdf, xgrid_input -def check_integration(ultimate_pdf, integration_input, verbose = False): + +def check_integration(ultimate_pdf, integration_input, verbose=False): nx = int(1e4) xgrid, weights_array = gen_integration_input(nx) - xgrid_input = operations.numpy_to_input( xgrid ) + xgrid_input = operations.numpy_to_input(xgrid) + + multiplier = xDivide(size=nx, output_dim=14, div_list=range(3, 9)) - multiplier = xDivide(size = nx, output_dim = 14, div_list = range(3,9)) def pdf_integrand(x): - res = operations.op_multiply([ - multiplier(x), ultimate_pdf(x) - ]) + res = operations.op_multiply([multiplier(x), ultimate_pdf(x)]) return res - modelito = MetaModel( [xgrid_input, integration_input], pdf_integrand(xgrid_input) ) + modelito = MetaModel([xgrid_input, integration_input], pdf_integrand(xgrid_input)) if verbose: modelito.summary() - result = modelito.predict(x = None, steps = 1) + result = modelito.predict(x=None, steps=1) - result_weighted = result*weights_array - result_integrated = np.sum(result_weighted, axis = 0) + result_weighted = result * weights_array + result_integrated = np.sum(result_weighted, axis=0) msr = result_integrated[1] + result_integrated[2] v = result_integrated[3] v3 = result_integrated[4] v8 = result_integrated[5] - print(""" + print( + """ > > > Int from 0 to 1 of: x*g(x) + x*sigma(x) = {0} v = {1} v3 = {2} - v8 = {3}""".format(msr, v, v3, v8)) + v8 = {3}""".format( + msr, v, v3, v8 + ) + ) -def compute_arclength(fitbasis_layer, verbose = False): + +def compute_arclength(fitbasis_layer, verbose=False): """ Given the layer with the fit basis computes the arc length """ nx = int(1e6) xgrid, weights_array = gen_integration_input(nx) - multiplier = xMultiply(size = nx) + multiplier = xMultiply(size=nx) xgrid_input = operations.numpy_to_input(xgrid) eps = xgrid[0] / 2.0 xgrid_input_prime = operations.numpy_to_input(xgrid - eps) @@ -130,24 +132,26 @@ def integrand(xgrid_input, xgrid_input_prime): f2 = fitbasis_layer(xgrid_input_prime) pdfprime = operations.op_subtract([f2, f1]) - res = operations.op_multiply([ - multiplier(xgrid_input), pdfprime - ]) + res = operations.op_multiply([multiplier(xgrid_input), pdfprime]) return res - modelito = MetaModel( [xgrid_input, xgrid_input_prime], integrand(xgrid_input, xgrid_input_prime) ) - derivatives = modelito.predict(x = None, steps = 1)/eps + modelito = MetaModel([xgrid_input, xgrid_input_prime], integrand(xgrid_input, xgrid_input_prime)) + derivatives = modelito.predict(x=None, steps=1) / eps derivatives_sq = pow(derivatives, 2) f_of_x = np.sqrt(1.0 + derivatives_sq) - arc_lengths = np.sum( f_of_x * weights_array, axis = 0) + arc_lengths = np.sum(f_of_x * weights_array, axis=0) if verbose: - print(""" + print( + """ > > > Arc length: sigma = {0} g = {1} v = {2} v3 = {3} - v8 = {4}""".format(*arc_lengths[:5])) + v8 = {4}""".format( + *arc_lengths[:5] + ) + ) return arc_lengths diff --git a/n3fit/create_testset.py b/n3fit/create_testset.py index cc60303880..a5f333cb89 100644 --- a/n3fit/create_testset.py +++ b/n3fit/create_testset.py @@ -3,23 +3,22 @@ from reportengine.compat import yaml + def test_runcard(runcard_file, datasets_out): """ Given a runcard and a set of datasets, generate a TEST-runcard where the datasets in datasets_out are removed from the training and put together as a new experiment called TEST """ # Load the input runcard as a dictionary - f = open(runcard_file, 'r') + f = open(runcard_file, "r") runcard_dict = yaml.safe_load(f) - runcard_exp = runcard_dict['experiments'] + runcard_exp = runcard_dict["experiments"] f.close() # Generate the list of datasets which are to be left out data_tests = [] for dataset in datasets_out: - data_tests.append( - {'dataset' : dataset, 'frac' : 1.0} # TODO copy the dictionary from the runcard instead - ) + data_tests.append({"dataset": dataset, "frac": 1.0}) # TODO copy the dictionary from the runcard instead # Create a test experiment from ModelTrainer import TESTNAME @@ -30,9 +29,9 @@ def test_runcard(runcard_file, datasets_out): # Now drop experiments and datasets that are being used for training for experiment in runcard_exp: - datasets = list(filter(lambda x: x['dataset'] not in datasets_out, experiment['datasets'])) + datasets = list(filter(lambda x: x["dataset"] not in datasets_out, experiment["datasets"])) if datasets: - experiment['datasets'] = datasets + experiment["datasets"] = datasets else: runcard_exp.remove(experiment) @@ -40,14 +39,14 @@ def test_runcard(runcard_file, datasets_out): # TODO: maybe there is a proper report-enginy way of doing this runcard_exp.append(test_experiment) new_runcard = "TEST-{0}".format(os.path.basename(runcard_file)) - no = open(new_runcard, 'w') - yaml.round_trip_dump(runcard_dict, no, explicit_start=True, explicit_end=True, - default_flow_style=True) + no = open(new_runcard, "w") + yaml.round_trip_dump(runcard_dict, no, explicit_start=True, explicit_end=True, default_flow_style=True) no.close() print("\n > You can find your new runcard at {0}/{1}\n".format(os.getcwd(), new_runcard)) -def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml"): + +def create_testset(experiments, runcard_file="runcards/NNPDF31_nlo_as_0118.yml"): """ This function gets the list of experiment and goes through the datasets reading their experiment type and range in x @@ -77,7 +76,7 @@ def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml else: dataset_by_proc[proc_type] = [data_dict] - select_min = False # If true selects the datasets with the smallest min(x), recommended: False + select_min = False # If true selects the datasets with the smallest min(x), recommended: False # 2) Now for every process type with more than one dataset, leave out the smallest datasets_out = [] @@ -87,7 +86,7 @@ def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml xmin = 1.0 xmax = 0.0 for dataset in datasets: - xm = dataset['xmin'] + xm = dataset["xmin"] if select_min: if xm < xmin: xmin = xmin @@ -97,8 +96,8 @@ def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml xmax = xm data_out = dataset print("For {0} we find {1} datasets, leaving one out: {2}".format(proc_type, l, data_out)) - datasets_out.append(data_out['name']) - all_experiments[dataset['exp']] -= 1 + datasets_out.append(data_out["name"]) + all_experiments[dataset["exp"]] -= 1 if not datasets_out: print("No redundant datasets were found") diff --git a/n3fit/filetrials.py b/n3fit/filetrials.py index 5e66409401..17ee1a0809 100644 --- a/n3fit/filetrials.py +++ b/n3fit/filetrials.py @@ -6,6 +6,7 @@ import json from hyperopt import Trials, space_eval + def space_eval_trial(space, trial): for_eval = {} for k, v in trial["misc"]["vals"].items(): @@ -20,6 +21,7 @@ class FileTrials(Trials): """ Stores trial results on the fly. """ + def __init__(self, replica_path, log=None, parameters=None, exp_key=None, refresh=True): self._store_trial = False self._json_file = "{0}/tries.json".format(replica_path) @@ -35,14 +37,14 @@ def refresh(self): # write json to disk if self._store_trial: - self.log_info(f'Storing scan in {self._json_file}') + self.log_info(f"Storing scan in {self._json_file}") local_trials = [] for idx, t in enumerate(self._dynamic_trials): local_trials.append(t) - local_trials[idx]['misc']['space_vals'] = space_eval_trial(self._parameters, t) + local_trials[idx]["misc"]["space_vals"] = space_eval_trial(self._parameters, t) all_to_str = json.dumps(local_trials, default=str) - with open(self._json_file, 'w') as f: + with open(self._json_file, "w") as f: f.write(all_to_str) def new_trial_ids(self, N): diff --git a/n3fit/fit.py b/n3fit/fit.py index fae05bbc7a..cca41b039a 100644 --- a/n3fit/fit.py +++ b/n3fit/fit.py @@ -12,16 +12,26 @@ # Action to be called by validphys # All information defining the NN should come here in the "parameters" dict -def fit( fitting, - experiments, t0set, replica, replica_path, output_path, - theoryid, posdatasets, hyperscan = None, - hyperopt = None, debug = False, - create_test_card = None): +def fit( + fitting, + experiments, + t0set, + replica, + replica_path, + output_path, + theoryid, + posdatasets, + hyperscan=None, + hyperopt=None, + debug=False, + create_test_card=None, +): # Call the script to generate a runcard with a test-set and immediately exit if create_test_card: from create_testset import create_testset - create_testset(experiments, runcard_file = create_test_card) + + create_testset(experiments, runcard_file=create_test_card) return 0 ############### @@ -29,7 +39,8 @@ def fit( fitting, # If debug is active, fix the initial state this should make the run reproducible # (important to avoid non-deterministic multithread or hidden states) from backends import set_initial_state - set_initial_state(debug = debug) + + set_initial_state(debug=debug) ############### # All potentially backend dependent imports should come inside the fit function @@ -39,9 +50,11 @@ def fit( fitting, from backends import MetaModel import reader import constrains + if hyperopt: import hyperopt as hyper import filetrials + status_ok = hyper.STATUS_OK else: status_ok = "ok" @@ -59,22 +72,22 @@ def fit( fitting, nnseeds = [] mcseeds = [] for replica_number in replica: - np.random.seed(fitting.get('trvlseed')) + np.random.seed(fitting.get("trvlseed")) for i in range(replica_number): - trvalseed = np.random.randint(0, pow(2,31)) + trvalseed = np.random.randint(0, pow(2, 31)) - np.random.seed(fitting.get('nnseed')) + np.random.seed(fitting.get("nnseed")) for i in range(replica_number): - nnseed = np.random.randint(0, pow(2,31)) + nnseed = np.random.randint(0, pow(2, 31)) - np.random.seed(fitting.get('mcseed')) + np.random.seed(fitting.get("mcseed")) for i in range(replica_number): - mcseed = np.random.randint(0, pow(2,31)) + mcseed = np.random.randint(0, pow(2, 31)) trvalseeds.append(trvalseed) nnseeds.append(nnseed) mcseeds.append(mcseed) - if fitting.get('genrep') == 0: + if fitting.get("genrep") == 0: mcseeds = [] ############################################################################## @@ -86,11 +99,11 @@ def fit( fitting, # we are just creating dictionaries with all the necessary information # (experimental data, covariance matrix, replicas, etc, tr/val split) ############################################################################## - all_exp_infos = [ [] for _ in replica ] + all_exp_infos = [[] for _ in replica] # First loop over the experiments for exp in experiments: log.info("Loading experiment: {0}".format(exp)) - all_exp_dicts = reader.common_data_reader(exp, t0pdfset, replica_seeds = mcseeds, trval_seeds = trvalseeds) + all_exp_dicts = reader.common_data_reader(exp, t0pdfset, replica_seeds=mcseeds, trval_seeds=trvalseeds) for i, exp_dict in enumerate(all_exp_dicts): all_exp_infos[i].append(exp_dict) @@ -104,7 +117,7 @@ def fit( fitting, # Note: In the basic scenario we are only running for one replica and thus this loop is only # run once and all_exp_infos is a list of just than one element for replica_number, exp_info, nnseed in zip(replica, all_exp_infos, nnseeds): - replica_path_set = replica_path / 'replica_{0}'.format(replica_number) + replica_path_set = replica_path / "replica_{0}".format(replica_number) log.info("Starting replica fit {0}".format(replica_number)) # Generate a ModelTrainer object @@ -118,8 +131,8 @@ def fit( fitting, # Check whether we want to load weights from a file (maybe from a previous run) # check whether the file exists, otherwise set it to none # reading the data up will be done by the model_trainer - if fitting.get('load'): - model_file = fitting.get('loadfile') + if fitting.get("load"): + model_file = fitting.get("loadfile") log.info(" > Loading the weights from previous training from {0}".format(model_file)) if not os.path.isfile(model_file): log.warning(" > Model file {0} could not be found".format(model_file)) @@ -131,7 +144,7 @@ def fit( fitting, pdf_gen_and_train_function = the_model_trainer.hyperparametizable # Read up the parameters of the NN from the runcard - parameters = fitting.get('parameters') + parameters = fitting.get("parameters") ######################################################################## # ### Hyperopt # @@ -145,20 +158,20 @@ def fit( fitting, the_scanner = HyperScanner(parameters) - stopping_options = hyperscan.get('stopping') - positivity_options = hyperscan.get('positivity') - optimizer_options = hyperscan.get('optimizer') - architecture_options = hyperscan.get('architecture') + stopping_options = hyperscan.get("stopping") + positivity_options = hyperscan.get("positivity") + optimizer_options = hyperscan.get("optimizer") + architecture_options = hyperscan.get("architecture") # Enable scanner for certain parameters - the_scanner.stopping( **stopping_options ) - the_scanner.positivity( **positivity_options ) - the_scanner.optimizer( **optimizer_options ) + the_scanner.stopping(**stopping_options) + the_scanner.positivity(**positivity_options) + the_scanner.optimizer(**optimizer_options) # Enable scanner for specific architectures - the_scanner.NN_architecture( **architecture_options ) + the_scanner.NN_architecture(**architecture_options) # Tell the trainer we are doing hyperopt - the_model_trainer.set_hyperopt(on = True, keys = the_scanner.hyper_keys) + the_model_trainer.set_hyperopt(on=True, keys=the_scanner.hyper_keys) # Generate Trials object trials = filetrials.FileTrials(replica_path_set, log=log, parameters=parameters) @@ -166,12 +179,12 @@ def fit( fitting, # Perform the scan try: best = hyper.fmin( - fn = pdf_gen_and_train_function, - space = the_scanner.dict(), - algo = hyper.tpe.suggest, - max_evals = hyperopt, - trials=trials - ) + fn=pdf_gen_and_train_function, + space=the_scanner.dict(), + algo=hyper.tpe.suggest, + max_evals=hyperopt, + trials=trials, + ) except ValueError as e: print("Error from hyperopt because no best model was found") print("@fit.py, setting the best trial to empty dict") @@ -185,11 +198,11 @@ def fit( fitting, print("##################") print("Best model found: ") for k, i in true_best.items(): - print(" {0} : {1} ".format(k,i)) + print(" {0} : {1} ".format(k, i)) ####################################################################### end of hyperopt # Ensure hyperopt is off - the_model_trainer.set_hyperopt(on = False) + the_model_trainer.set_hyperopt(on=False) ############################################################################# # ### Fit # @@ -199,30 +212,31 @@ def fit( fitting, result = pdf_gen_and_train_function(parameters) # After the fit is run we get a 'result' dictionary with the following items: - validation_object = result['validation_object'] - layer_pdf = result['layer_pdf'] - layers = result['layers'] - integrator_input = result['integrator_input'] - true_chi2 = result['loss'] - training = result['training'] + validation_object = result["validation_object"] + layer_pdf = result["layer_pdf"] + layers = result["layers"] + integrator_input = result["integrator_input"] + true_chi2 = result["loss"] + training = result["training"] log.info("Total exp chi2: {0}".format(true_chi2)) # Where has the stopping point happened (this is only for debugging purposes) - print(""" + print( + """ > > The stopping point has been at: {0} with a loss of {1} which it got at {2}. Stopping degree {3} Positivity state: {4} """.format( - validation_object.epoch_of_the_stop, - validation_object.loss(), - validation_object.e_best_chi2, - validation_object.stopping_degree, - validation_object.positivity_pass() - )) - + validation_object.epoch_of_the_stop, + validation_object.loss(), + validation_object.e_best_chi2, + validation_object.stopping_degree, + validation_object.positivity_pass(), + ) + ) # Compute the arclengths - arc_lengths = constrains.compute_arclength(layers['fitbasis'], verbose = True) + arc_lengths = constrains.compute_arclength(layers["fitbasis"], verbose=True) # Construct the chi2exp file allchi2_lines = validation_object.chi2exps_str() # Construct the preproc file @@ -233,24 +247,35 @@ def pdf_function(export_xgrid): """ Receives an array, returns the result of the PDF for said array """ - modelito = MetaModel( [integrator_input], [], extra_tensors = [(export_xgrid, layer_pdf)] ) - result = modelito.predict(x = None, steps = 1) + modelito = MetaModel([integrator_input], [], extra_tensors=[(export_xgrid, layer_pdf)]) + result = modelito.predict(x=None, steps=1) return result - # export PDF grid to file - storefit(pdf_function, replica_number, replica_path_set, output_path.stem, - theoryid.get_description().get('Q0')**2, validation_object.epoch_of_the_stop, - validation_object.loss(), validation_object.tr_loss(), true_chi2, - arc_lengths, allchi2_lines, preproc_lines, validation_object.positivity_pass()) + # export PDF grid to file + storefit( + pdf_function, + replica_number, + replica_path_set, + output_path.stem, + theoryid.get_description().get("Q0") ** 2, + validation_object.epoch_of_the_stop, + validation_object.loss(), + validation_object.tr_loss(), + true_chi2, + arc_lengths, + allchi2_lines, + preproc_lines, + validation_object.positivity_pass(), + ) # Save the weights to some file - if fitting.get('save'): - model_file = fitting.get('savefile') + if fitting.get("save"): + model_file = fitting.get("savefile") log.info(" > Saving the weights for future in {0}".format(model_file)) - training['model'].save_weights(model_file) + training["model"].save_weights(model_file) # Plot the validation and the training losses - if fitting.get('plot'): + if fitting.get("plot"): validation_object.plot() # print out the integration of the sum rule in case we want to check it's not broken diff --git a/n3fit/layers/DIS.py b/n3fit/layers/DIS.py index 44066a073d..891909cb41 100644 --- a/n3fit/layers/DIS.py +++ b/n3fit/layers/DIS.py @@ -1,20 +1,21 @@ import numpy as np from layers.Observable import Observable + class DIS(Observable): def gen_basis(self, basis): if basis is not None: - self.basis = np.zeros(self.nfl, dtype = bool) + self.basis = np.zeros(self.nfl, dtype=bool) for i in basis: self.basis[i] = True else: - self.basis = np.ones(self.nfl, dtype = bool) + self.basis = np.ones(self.nfl, dtype=bool) def call(self, pdf_in): - pdf_masked = self.boolean_mask(pdf_in, self.basis, axis = 1) + pdf_masked = self.boolean_mask(pdf_in, self.basis, axis=1) pdfT = self.transpose(pdf_masked) - result = self.tensor_product(self.fktable, pdfT, axes = 2) + result = self.tensor_product(self.fktable, pdfT, axes=2) return result diff --git a/n3fit/layers/DY.py b/n3fit/layers/DY.py index b795ddc241..ba344eeed5 100644 --- a/n3fit/layers/DY.py +++ b/n3fit/layers/DY.py @@ -4,7 +4,7 @@ class DY(Observable): def gen_basis(self, basis): - basis_to_pairs = basis.reshape(-1,2) + basis_to_pairs = basis.reshape(-1, 2) self.basis = basis_to_pairs self.basis_size = len(self.basis) @@ -14,27 +14,27 @@ def call(self, pdf_in): lumi_fun = [] pdfT = self.transpose(pdf_in) - for i,j in self.basis: - lumi_fun.append( self.tensor_product(pdfT[i], pdfT[j], axes = 0) ) + for i, j in self.basis: + lumi_fun.append(self.tensor_product(pdfT[i], pdfT[j], axes=0)) - pdfXpdf = self.concatenate( lumi_fun, axis = 0, - target_shape = (self.basis_size, self.xgrid_size, self.xgrid_size) ) + pdfXpdf = self.concatenate(lumi_fun, axis=0, target_shape=(self.basis_size, self.xgrid_size, self.xgrid_size)) - result = self.tensor_product(self.fktable, pdfXpdf, axes = 3) + result = self.tensor_product(self.fktable, pdfXpdf, axes=3) return result + class DY_mask(Observable): def gen_basis(self, basis): if basis is not None: - self.basis = np.zeros((self.nfl, self.nfl), dtype = bool) - for i,j in basis.reshape(-1,2): - self.basis[i,j] = True + self.basis = np.zeros((self.nfl, self.nfl), dtype=bool) + for i, j in basis.reshape(-1, 2): + self.basis[i, j] = True else: - self.basis = np.ones((self.nfl, self.nfl), dtype = bool) + self.basis = np.ones((self.nfl, self.nfl), dtype=bool) def call(self, pdf_in): - lfun = self.tensor_product(pdf_in, pdf_in, axes = 0) - lfunT = self.permute_dimensions(lfun, (3,1,2,0)) - x = self.boolean_mask(lfunT, self.basis, axis = 0) - result = self.tensor_product(self.fktable, x, axes = 3) + lfun = self.tensor_product(pdf_in, pdf_in, axes=0) + lfunT = self.permute_dimensions(lfun, (3, 1, 2, 0)) + x = self.boolean_mask(lfunT, self.basis, axis=0) + result = self.tensor_product(self.fktable, x, axes=3) return result diff --git a/n3fit/layers/Integration.py b/n3fit/layers/Integration.py index 07bb9d30e5..e85aa57389 100644 --- a/n3fit/layers/Integration.py +++ b/n3fit/layers/Integration.py @@ -1,17 +1,18 @@ from backends import MetaLayer + class xDivide(MetaLayer): """ Divide the pdf by x By default: dimension = 8 dividing the entries corresponding to v, v3, v8 """ - def __init__(self, output_dim = 8, div_list = None, size = 1000, **kwargs): + def __init__(self, output_dim=8, div_list=None, size=1000, **kwargs): if div_list is None: - div_list = [2,3,4] + div_list = [2, 3, 4] self.output_dim = output_dim self.div_list = div_list - self.one = self.tensor_ones( (size, 1) ) + self.one = self.tensor_ones((size, 1)) super(MetaLayer, self).__init__(**kwargs) def compute_output_shape(self, input_shape): @@ -21,25 +22,26 @@ def call(self, x): out_array = [] for i in range(self.output_dim): if i in self.div_list: - res = self.one/x + res = self.one / x else: res = self.one out_array.append(res) - out_tensor = self.concatenate(out_array, axis = 1) + out_tensor = self.concatenate(out_array, axis=1) return out_tensor + class xMultiply(MetaLayer): """ Multiply the pdf by x By default: dimension = 8 multiply all entries but v, v3, v8 """ - def __init__(self, output_dim = 8, div_list = None, size = 1000, **kwargs): + def __init__(self, output_dim=8, div_list=None, size=1000, **kwargs): if div_list is None: - div_list = [2,3,4] + div_list = [2, 3, 4] self.output_dim = output_dim self.div_list = div_list - self.one = self.tensor_ones( (size, 1) ) + self.one = self.tensor_ones((size, 1)) super(MetaLayer, self).__init__(**kwargs) def compute_output_shape(self, input_shape): @@ -51,60 +53,64 @@ def call(self, x): if i in self.div_list: res = self.one else: - res = self.one*x + res = self.one * x out_array.append(res) - out_tensor = self.concatenate(out_array, axis = 1) + out_tensor = self.concatenate(out_array, axis=1) return out_tensor + class xIntegrator(MetaLayer): """ This layer performs a sum of the input layer/tensor on the first axis """ - def __init__(self, grid_weights, output_dim = 8, **kwargs): + + def __init__(self, grid_weights, output_dim=8, **kwargs): grid_weights_tensor = self.np_to_tensor(grid_weights) # Open up the grid weights - self.grid_weights = self.many_replication(grid_weights_tensor, replications = 8, axis = 1) + self.grid_weights = self.many_replication(grid_weights_tensor, replications=8, axis=1) self.output_dim = output_dim super(MetaLayer, self).__init__(**kwargs) def compute_output_shape(self, input_shape): - return (self.output_dim, ) + return (self.output_dim,) def call(self, x): - xx = x*self.grid_weights - return self.sum(xx, axis = 0) + xx = x * self.grid_weights + return self.sum(xx, axis=0) class MSR_Normalization(MetaLayer): """ Applies the normalisation so that the PDF output fullfills the sum rules """ - def __init__(self, output_dim = 14, **kwargs): + + def __init__(self, output_dim=14, **kwargs): self.output_dim = output_dim - self.one = self.tensor_ones( (1, 1) ) - self.three = 3*self.tensor_ones( (1, 1) ) - super(MSR_Normalization, self).__init__(**kwargs, name = "normalizer") + self.one = self.tensor_ones((1, 1)) + self.three = 3 * self.tensor_ones((1, 1)) + super(MSR_Normalization, self).__init__(**kwargs, name="normalizer") def compute_output_shape(self, input_shape): - return (self.output_dim, ) - + return (self.output_dim,) def call(self, integrated): x = integrated - pdf_sr = self.concatenate([ - self.one, # photon - self.one, # sigma - (self.one - x[0])/x[1], # g - self.three/x[2], # v - self.one/x[3], # v3 - self.three/x[4], # v8 - self.three/x[2], # v15 - self.three/x[2], # v24 - self.three/x[2], # v35 - self.one, # t3 - self.one, # t8 - self.one, # t15 (c-) - self.one, # t24 - self.one, # t35 - ]) + pdf_sr = self.concatenate( + [ + self.one, # photon + self.one, # sigma + (self.one - x[0]) / x[1], # g + self.three / x[2], # v + self.one / x[3], # v3 + self.three / x[4], # v8 + self.three / x[2], # v15 + self.three / x[2], # v24 + self.three / x[2], # v35 + self.one, # t3 + self.one, # t8 + self.one, # t15 (c-) + self.one, # t24 + self.one, # t35 + ] + ) return pdf_sr diff --git a/n3fit/layers/Mask.py b/n3fit/layers/Mask.py index 6b62b60f4b..671424d9c9 100644 --- a/n3fit/layers/Mask.py +++ b/n3fit/layers/Mask.py @@ -1,23 +1,25 @@ import numpy as np from backends import MetaLayer + class Mask(MetaLayer): """ Mask is a layer used to apply both a boolean mask and a multiplier """ - def __init__(self, bool_mask, c = 1.0, **kwargs): + + def __init__(self, bool_mask, c=1.0, **kwargs): self.output_dim = np.count_nonzero(bool_mask) self.mask = bool_mask self.c = c super(MetaLayer, self).__init__(**kwargs) def build(self, input_shape): - initializer = MetaLayer.init_constant(value = self.c) - self.kernel = self.builder_helper("mask", (1,), initializer, trainable = False) + initializer = MetaLayer.init_constant(value=self.c) + self.kernel = self.builder_helper("mask", (1,), initializer, trainable=False) super(Mask, self).build(input_shape) def compute_output_shape(self, input_shape): return (self.output_dim, None) def call(self, prediction_in): - return self.boolean_mask(self.kernel*prediction_in, self.mask) + return self.boolean_mask(self.kernel * prediction_in, self.mask) diff --git a/n3fit/layers/Observable.py b/n3fit/layers/Observable.py index c08e69ab49..678473ac2e 100644 --- a/n3fit/layers/Observable.py +++ b/n3fit/layers/Observable.py @@ -1,6 +1,7 @@ import sys from backends import MetaLayer + class Observable(MetaLayer): """ This class is the parent of the DIS and DY convolutions. @@ -13,7 +14,8 @@ class Observable(MetaLayer): fktables and pdfs - call: this is what does the actual operation """ - def __init__(self, output_dim, fktable, basis = None, nfl = 14, **kwargs): + + def __init__(self, output_dim, fktable, basis=None, nfl=14, **kwargs): self.nfl = nfl self.output_dim = output_dim @@ -24,7 +26,6 @@ def __init__(self, output_dim, fktable, basis = None, nfl = 14, **kwargs): super(MetaLayer, self).__init__(**kwargs) - def compute_output_shape(self, input_shape): return (self.output_dim, None) diff --git a/n3fit/layers/Preprocessing.py b/n3fit/layers/Preprocessing.py index 5858937c3d..ee40f4e73c 100644 --- a/n3fit/layers/Preprocessing.py +++ b/n3fit/layers/Preprocessing.py @@ -1,9 +1,10 @@ from backends import MetaLayer BASIS_SIZE = 8 -class Preprocessing(MetaLayer): - def __init__(self, output_dim = BASIS_SIZE, trainable = True, flav_info = None, seed = 0, **kwargs): + +class Preprocessing(MetaLayer): + def __init__(self, output_dim=BASIS_SIZE, trainable=True, flav_info=None, seed=0, **kwargs): self.output_dim = output_dim self.trainable = trainable self.flav_info = flav_info @@ -16,51 +17,50 @@ def compute_output_shape(self, input_shape): def build(self, input_shape): self.kernel = [] for i in range(BASIS_SIZE * 2): - fl = int(i/2) - f = self.flav_info[fl]['fl'] + fl = int(i / 2) + f = self.flav_info[fl]["fl"] if i % 2: name = "beta_{0}".format(f) - kind = 'largex' + kind = "largex" else: name = "alfa_{0}".format(f) - kind = 'smallx' + kind = "smallx" limits = self.flav_info[fl][kind] lm = limits[0] lp = limits[1] - init = MetaLayer.select_initializer('random_uniform', minval = lm, maxval = lp, seed = self.seed + i) - const = self.constraint_MinMaxWeight(min_value = lm, max_value = lp) + init = MetaLayer.select_initializer("random_uniform", minval=lm, maxval=lp, seed=self.seed + i) + const = self.constraint_MinMaxWeight(min_value=lm, max_value=lp) nw = self.builder_helper( - name = name, - kernel_shape = (1,), - initializer = init, - trainable = self.trainable, - constraint = const - ) + name=name, kernel_shape=(1,), initializer=init, trainable=self.trainable, constraint=const + ) self.kernel.append(nw) super(Preprocessing, self).build(input_shape) def call(self, x): - pdf_raw = self.concatenate([ - x**(1-self.kernel[0][0])*(1-x)**self.kernel[1][0], # sigma - x**(1-self.kernel[2][0])*(1-x)**self.kernel[3][0], # g - x**(1-self.kernel[4][0])*(1-x)**self.kernel[5][0], # v - x**(1-self.kernel[6][0])*(1-x)**self.kernel[7][0], # v3 - x**(1-self.kernel[8][0])*(1-x)**self.kernel[9][0], # v8 - x**(1-self.kernel[10][0])*(1-x)**self.kernel[11][0], # t3 = sigma - x**(1-self.kernel[12][0])*(1-x)**self.kernel[13][0], # t8 = sigma - x**(1-self.kernel[14][0])*(1-x)**self.kernel[15][0] # t15 c- - ], axis = 1) + pdf_raw = self.concatenate( + [ + x ** (1 - self.kernel[0][0]) * (1 - x) ** self.kernel[1][0], # sigma + x ** (1 - self.kernel[2][0]) * (1 - x) ** self.kernel[3][0], # g + x ** (1 - self.kernel[4][0]) * (1 - x) ** self.kernel[5][0], # v + x ** (1 - self.kernel[6][0]) * (1 - x) ** self.kernel[7][0], # v3 + x ** (1 - self.kernel[8][0]) * (1 - x) ** self.kernel[9][0], # v8 + x ** (1 - self.kernel[10][0]) * (1 - x) ** self.kernel[11][0], # t3 = sigma + x ** (1 - self.kernel[12][0]) * (1 - x) ** self.kernel[13][0], # t8 = sigma + x ** (1 - self.kernel[14][0]) * (1 - x) ** self.kernel[15][0], # t15 c- + ], + axis=1, + ) return pdf_raw -class Rotation(MetaLayer): - def __init__(self, output_dim = 14, **kwargs): +class Rotation(MetaLayer): + def __init__(self, output_dim=14, **kwargs): self.output_dim = output_dim - super(MetaLayer, self).__init__(**kwargs, name = "evolution") + super(MetaLayer, self).__init__(**kwargs, name="evolution") def compute_output_shape(self, input_shape): return (input_shape[0], self.output_dim) @@ -68,20 +68,20 @@ def compute_output_shape(self, input_shape): def call(self, x_raw): x = self.transpose(x_raw) pdf_raw_list = [ - 0*x[0], # photon - x[0], # sigma - x[1], # g - x[2], # v - x[3], # v3 - x[4], # v8 - x[2], # v15 - x[2], # v24 - x[2], # v35 - x[5], # t3 - x[6], # t8 - x[0]-4*x[7], # t15 (c-) - x[0], # t24 - x[0], # t35 + 0 * x[0], # photon + x[0], # sigma + x[1], # g + x[2], # v + x[3], # v3 + x[4], # v8 + x[2], # v15 + x[2], # v24 + x[2], # v35 + x[5], # t3 + x[6], # t8 + x[0] - 4 * x[7], # t15 (c-) + x[0], # t24 + x[0], # t35 ] - pdf = self.concatenate( pdf_raw_list, target_shape = (self.output_dim, -1) ) + pdf = self.concatenate(pdf_raw_list, target_shape=(self.output_dim, -1)) return self.transpose(pdf) diff --git a/n3fit/model_gen.py b/n3fit/model_gen.py index efc86f23bc..90a4fb8f8e 100644 --- a/n3fit/model_gen.py +++ b/n3fit/model_gen.py @@ -17,8 +17,9 @@ from backends import base_layer_selector, concatenate, Lambda -def observable_generator(spec_dict, positivity_initial = None, positivity_multiplier = 1.05, - verbose = False, positivity_steps = 300): +def observable_generator( + spec_dict, positivity_initial=None, positivity_multiplier=1.05, verbose=False, positivity_steps=300 +): """ Receives a spec object (can be either a dataset or an experiment) Takes some optional arguments: @@ -33,128 +34,130 @@ def observable_generator(spec_dict, positivity_initial = None, positivity_multip - loss_function: one single loss function - exp_data: one single set of true data to compare to """ - spec_name = spec_dict['name'] + spec_name = spec_dict["name"] model_inputs = [] model_obs = [] # The first step is to generate an observable layer for each given datasets - for dataset_dict in spec_dict['datasets']: - dataname = dataset_dict['name'] + for dataset_dict in spec_dict["datasets"]: + dataname = dataset_dict["name"] # Choose which kind of observable are we dealing with, since this will define the convolution - if dataset_dict['hadronic']: + if dataset_dict["hadronic"]: Obs_Layer = DY else: Obs_Layer = DIS # Define the operation (if any) - op = operations.c_to_py_fun(dataset_dict['operation'], name = dataname) + op = operations.c_to_py_fun(dataset_dict["operation"], name=dataname) # Retrieve the list of fktables - fktable_list = dataset_dict['fktables'] + fktable_list = dataset_dict["fktables"] obs_list = [] input_list = [] # Now generate an input and output layer for each sub_obs of the dataset for i, fktable_dict in enumerate(fktable_list): # Input layer - input_layer = operations.numpy_to_input( fktable_dict['xgrid'].T ) + input_layer = operations.numpy_to_input(fktable_dict["xgrid"].T) input_list.append(input_layer) # Output layer - obs_layer = Obs_Layer( output_dim = fktable_dict['ndata'], - fktable = fktable_dict['fktable'], - basis = fktable_dict['basis'], - name = "{0}_{1}".format(dataname, i), - input_shape = (14,) ) - obs_list.append( (input_layer, obs_layer) ) + obs_layer = Obs_Layer( + output_dim=fktable_dict["ndata"], + fktable=fktable_dict["fktable"], + basis=fktable_dict["basis"], + name="{0}_{1}".format(dataname, i), + input_shape=(14,), + ) + obs_list.append((input_layer, obs_layer)) # Add the inputs to the lists of inputs of the model model_inputs += input_list # Append the combination of observable and the operation to be applied to the list of model_obs - model_obs.append( (op, obs_list) ) - - - + model_obs.append((op, obs_list)) def final_obs(pdf_layer): all_ops = [] for operation, observables in model_obs: all_obs = [] for i_layer, o_layer in observables: - all_obs.append( o_layer( pdf_layer( i_layer ) ) ) + all_obs.append(o_layer(pdf_layer(i_layer))) all_ops.append(operation(all_obs)) if len(all_ops) == 1: return all_ops[0] else: - return concatenate( all_ops, axis = 0, name = spec_name + "_full" ) + return concatenate(all_ops, axis=0, name=spec_name + "_full") - if spec_dict['positivity']: - max_lambda = spec_dict['lambda'] + if spec_dict["positivity"]: + max_lambda = spec_dict["lambda"] if not positivity_initial: - initial_lambda = max_lambda/pow(positivity_multiplier, positivity_steps) + initial_lambda = max_lambda / pow(positivity_multiplier, positivity_steps) else: initial_lambda = positivity_initial - out_tr_mask = Mask(bool_mask = spec_dict['trmask'], c = initial_lambda, name = spec_name) + out_tr_mask = Mask(bool_mask=spec_dict["trmask"], c=initial_lambda, name=spec_name) + def out_tr(pdf_layer): - return out_tr_mask( final_obs(pdf_layer) ) - layer_info = { - 'inputs' : model_inputs, - 'output_tr' : out_tr, - 'loss_tr' : losses.l_positivity() - } + return out_tr_mask(final_obs(pdf_layer)) + + layer_info = {"inputs": model_inputs, "output_tr": out_tr, "loss_tr": losses.l_positivity()} return layer_info # Now generate the mask layers to be applied to training and validation - out_tr_mask = Mask(bool_mask = spec_dict['trmask'], name = spec_name) - out_vl_mask = Mask(bool_mask = spec_dict['vlmask'], name = spec_name + "_val" ) - + out_tr_mask = Mask(bool_mask=spec_dict["trmask"], name=spec_name) + out_vl_mask = Mask(bool_mask=spec_dict["vlmask"], name=spec_name + "_val") def out_tr(pdf_layer): - return out_tr_mask( final_obs(pdf_layer) ) - def out_vl(pdf_layer): - return out_vl_mask( final_obs(pdf_layer) ) - + return out_tr_mask(final_obs(pdf_layer)) + def out_vl(pdf_layer): + return out_vl_mask(final_obs(pdf_layer)) # Generate the loss function as usual - invcovmat = spec_dict['invcovmat_true'] - loss = losses.l_invcovmat( invcovmat ) + invcovmat = spec_dict["invcovmat_true"] + loss = losses.l_invcovmat(invcovmat) - invcovmat_tr = spec_dict['invcovmat'] + invcovmat_tr = spec_dict["invcovmat"] loss_tr = losses.l_invcovmat(invcovmat_tr) - invcovmat_vl = spec_dict['invcovmat_vl'] + invcovmat_vl = spec_dict["invcovmat_vl"] loss_vl = losses.l_invcovmat(invcovmat_vl) layer_info = { - 'inputs' : model_inputs, - 'output' : final_obs, - 'loss' : loss, - 'output_tr' : out_tr, - 'loss_tr' : loss_tr, - 'output_vl' : out_vl, - 'loss_vl' : loss_vl, - } + "inputs": model_inputs, + "output": final_obs, + "loss": loss, + "output_tr": out_tr, + "loss_tr": loss_tr, + "output_vl": out_vl, + "loss_vl": loss_vl, + } return layer_info - -def pdfNN_layer_generator(inp = 2, - nodes = None, activations = None, initializer_name = 'glorot_normal', layer_type = 'dense', - flav_info = None, out = 14, seed = None, dropout = 0.0): +def pdfNN_layer_generator( + inp=2, + nodes=None, + activations=None, + initializer_name="glorot_normal", + layer_type="dense", + flav_info=None, + out=14, + seed=None, + dropout=0.0, +): """ Generates a NN that takes as input the xgrid value and outputs the basis of 14 PDFs fk tables use """ if nodes is None: - nodes = [15,8] + nodes = [15, 8] if activations is None: - activations = ['tanh', 'linear'] + activations = ["tanh", "linear"] # Safety check ln = len(nodes) la = len(activations) if ln > la: - activations = (ln-la)*['tanh'] + activations + activations = (ln - la) * ["tanh"] + activations print("Did not received enough activation functions, appending copies of the first activation foudn") elif la > ln: activations = activations[-ln:] @@ -163,21 +166,19 @@ def pdfNN_layer_generator(inp = 2, # If dropout == 0, don't add dropout layer if dropout == 0.0: dropme = -99 - else: # Add the dropout to the second to last layer - dropme = ln-2 + else: # Add the dropout to the second to last layer + dropme = ln - 2 # Layer generation dl = [] pre = inp for i, (units, activation) in enumerate(zip(nodes, activations)): if i == dropme and i != 0: - dl.append(base_layer_selector('dropout', rate = dropout)) + dl.append(base_layer_selector("dropout", rate=dropout)) - init = MetaLayer.select_initializer(initializer_name, seed=seed+i) + init = MetaLayer.select_initializer(initializer_name, seed=seed + i) - arguments = {'kernel_initializer' : init, 'units' : int(units), 'activation' : activation, - 'input_shape' : (pre,), - } + arguments = {"kernel_initializer": init, "units": int(units), "activation": activation, "input_shape": (pre,)} # Arguments that are not used by a given layer are just dropped tmpl = base_layer_selector(layer_type, **arguments) @@ -185,7 +186,8 @@ def pdfNN_layer_generator(inp = 2, pre = int(units) if inp == 2: - add_log = Lambda( lambda x: concatenate([x, operations.op_log(x)], axis = 1) ) + add_log = Lambda(lambda x: concatenate([x, operations.op_log(x)], axis=1)) + def dense_me(x): if inp == 1: curr_fun = dl[0](x) @@ -198,26 +200,26 @@ def dense_me(x): # Preprocessing layer (will be multiplied to the last of the denses) preproseed = seed + ln - layer_preproc = Preprocessing(input_shape = (1,), name = "pdf_prepro", flav_info = flav_info, seed = preproseed) + layer_preproc = Preprocessing(input_shape=(1,), name="pdf_prepro", flav_info=flav_info, seed=preproseed) # Evolution layer - layer_evln = Rotation(input_shape = (pre,), output_dim = out) + layer_evln = Rotation(input_shape=(pre,), output_dim=out) # Generate multiplier layer # multiplier = Multiply(name = "MultiplyPreproc") # Apply preprocessing def layer_fitbasis(x): - return operations.op_multiply( [dense_me(x), layer_preproc(x)] ) + return operations.op_multiply([dense_me(x), layer_preproc(x)]) # Rotation layer, changes from the 8-basis to the 14-basis def layer_pdf(x): - return layer_evln( layer_fitbasis(x) ) + return layer_evln(layer_fitbasis(x)) dict_layers = { - 'denses' : dense_me, # The set of the N dense layers - 'preprocessing' : layer_preproc, # The layer that applies preprocessing - 'fitbasis' : layer_fitbasis # Applied preprocessing to the output of the denses - } + "denses": dense_me, # The set of the N dense layers + "preprocessing": layer_preproc, # The layer that applies preprocessing + "fitbasis": layer_fitbasis, # Applied preprocessing to the output of the denses + } return layer_pdf, dict_layers diff --git a/n3fit/n3fit.py b/n3fit/n3fit.py index 8f4be78674..9ff1beb423 100755 --- a/n3fit/n3fit.py +++ b/n3fit/n3fit.py @@ -24,20 +24,22 @@ actions_ = ['datacuts::theory fit'] ) -N3FIT_PROVIDERS = ['fit'] +N3FIT_PROVIDERS = ["fit"] log = logging.getLogger(__name__) -RUNCARD_COPY_FILENAME = 'filter.yml' +RUNCARD_COPY_FILENAME = "filter.yml" class N3FitError(Exception): """Exception raised when n3fit cannot succeed and knows why""" + pass class N3FitEnvironment(Environment): """Container for information to be filled at run time""" + def init_output(self): # check file exists, is a file, has extension. if not self.config_yml.exists(): @@ -49,11 +51,11 @@ def init_output(self): # check if results folder exists self.output_path = pathlib.Path(self.output_path).absolute() if not self.output_path.exists(): - if not re.fullmatch(r'[\w.\-]+', self.output_path.name): + if not re.fullmatch(r"[\w.\-]+", self.output_path.name): raise N3FitError("Invalid output folder name. Must be alphanumeric.") try: self.output_path.mkdir() - pathlib.Path(self.output_path / 'nnfit').mkdir() + pathlib.Path(self.output_path / "nnfit").mkdir() except OSError as e: raise EnvironmentError_(e) from e @@ -63,24 +65,25 @@ def init_output(self): pass # create output folder for the fit - self.replica_path = self.output_path / 'nnfit' + self.replica_path = self.output_path / "nnfit" for replica in self.replica: - path = self.replica_path / 'replica_{0}'.format(replica) - log.info('Creating replica output folder in {0}'.format(path)) + path = self.replica_path / "replica_{0}".format(replica) + log.info("Creating replica output folder in {0}".format(path)) try: path.mkdir(exist_ok=True) except OSError as e: raise EnvironmentError_(e) from e - @classmethod def ns_dump_description(cls): - return {'replica': 'The MC replica number', - 'replica_path': 'The replica output path', - 'output_path': 'The runcard name', - 'hyperopt': 'The hyperopt flag', - 'create_test_card' : 'Create test card flag', - **super().ns_dump_description()} + return { + "replica": "The MC replica number", + "replica_path": "The replica output path", + "output_path": "The runcard name", + "hyperopt": "The hyperopt flag", + "create_test_card": "Create test card flag", + **super().ns_dump_description(), + } class N3FitConfig(Config): @@ -90,44 +93,40 @@ class N3FitConfig(Config): def from_yaml(cls, o, *args, **kwargs): try: with warnings.catch_warnings(): - warnings.simplefilter('ignore', - yaml.error.MantissaNoDotYAML1_1Warning) - #We need to specify the older version 1.1 to support the - #older configuration files, which liked to use on/off for - #booleans. - #The floating point parsing yields warnings everywhere, which - #we suppress. - file_content = yaml.safe_load(o, version='1.1') + warnings.simplefilter("ignore", yaml.error.MantissaNoDotYAML1_1Warning) + # We need to specify the older version 1.1 to support the + # older configuration files, which liked to use on/off for + # booleans. + # The floating point parsing yields warnings everywhere, which + # we suppress. + file_content = yaml.safe_load(o, version="1.1") except yaml.error.YAMLError as e: raise ConfigError(f"Failed to parse yaml file: {e}") if not isinstance(file_content, dict): - raise ConfigError(f"Expecting input runcard to be a mapping, " - f"not '{type(file_content)}'.") + raise ConfigError(f"Expecting input runcard to be a mapping, " f"not '{type(file_content)}'.") file_content.update(N3FIT_FIXED_CONFIG) return cls(file_content, *args, **kwargs) class N3FitApp(App): """The class which parsers and performs the fit""" + environment_class = N3FitEnvironment config_class = N3FitConfig def __init__(self): - super(N3FitApp, self).__init__(name='n3fit', - providers=N3FIT_PROVIDERS) + super(N3FitApp, self).__init__(name="n3fit", providers=N3FIT_PROVIDERS) @property def argparser(self): parser = super().argparser - parser.add_argument('-o', '--output', - help='Output folder and name of the fit', - default=None) - parser.add_argument('--hyperopt', - help='Enable hyperopt scan', - default=None, type=int) - parser.add_argument('--create_test_card', - help='Generates a new runcard where some datasets are only used for a test set (only hyperopt)', - action='store_true') + parser.add_argument("-o", "--output", help="Output folder and name of the fit", default=None) + parser.add_argument("--hyperopt", help="Enable hyperopt scan", default=None, type=int) + parser.add_argument( + "--create_test_card", + help="Generates a new runcard where some datasets are only used for a test set (only hyperopt)", + action="store_true", + ) def check_positive(value): ivalue = int(value) @@ -135,44 +134,42 @@ def check_positive(value): raise argparse.ArgumentTypeError("%s is an invalid positive int value." % value) return ivalue - parser.add_argument('replica', - help='MC replica number', type=check_positive) - parser.add_argument('-r', '--replica_range', - help = 'End of the range of replicas to compute', type=check_positive) + parser.add_argument("replica", help="MC replica number", type=check_positive) + parser.add_argument( + "-r", "--replica_range", help="End of the range of replicas to compute", type=check_positive + ) return parser def get_commandline_arguments(self, cmdline=None): args = super().get_commandline_arguments(cmdline) - if args['output'] is None: - args['output'] = pathlib.Path(args['config_yml']).stem + if args["output"] is None: + args["output"] = pathlib.Path(args["config_yml"]).stem return args def run(self): try: - self.environment.config_yml = pathlib.Path(self.args['config_yml']).absolute() - replica = self.args['replica'] - if self.args['replica_range']: - replicas = list(range(replica, self.args['replica_range']+1)) + self.environment.config_yml = pathlib.Path(self.args["config_yml"]).absolute() + replica = self.args["replica"] + if self.args["replica_range"]: + replicas = list(range(replica, self.args["replica_range"] + 1)) else: replicas = [replica] self.environment.replica = replicas - self.environment.hyperopt = self.args['hyperopt'] - if self.args['create_test_card']: + self.environment.hyperopt = self.args["hyperopt"] + if self.args["create_test_card"]: self.environment.create_test_card = self.environment.config_yml else: self.environment.create_test_card = None super().run() except N3FitError as e: - log.error(f'Error in n3fit:\n{e}') + log.error(f"Error in n3fit:\n{e}") sys.exit(1) except Exception as e: - log.critical(f'Bug in n3fit ocurred. Please report it.') - print( - colors.color_exception(e.__class__, e, e.__traceback__), - file=sys.stderr) + log.critical(f"Bug in n3fit ocurred. Please report it.") + print(colors.color_exception(e.__class__, e, e.__traceback__), file=sys.stderr) sys.exit(1) -if __name__ == '__main__': +if __name__ == "__main__": a = N3FitApp() a.main() diff --git a/n3fit/plotting.py b/n3fit/plotting.py index 9250b36583..cafa5ba308 100755 --- a/n3fit/plotting.py +++ b/n3fit/plotting.py @@ -14,9 +14,9 @@ import matplotlib.pyplot as plt import seaborn as sns -warnings.simplefilter(action = 'ignore', category = FutureWarning) -regex_op = re.compile(r'[^\w^\.]+') -regex_not_op = re.compile(r'[\w\.]+') +warnings.simplefilter(action="ignore", category=FutureWarning) +regex_op = re.compile(r"[^\w^\.]+") +regex_not_op = re.compile(r"[\w\.]+") keywords = { 'id' : 'iteration', @@ -77,22 +77,21 @@ def optimizer_parse(trial, dict_out): initializer dropout """ - opt = trial['misc']['space_vals'][keywords['optimizer']] + opt = trial["misc"]["space_vals"][keywords["optimizer"]] if isinstance(opt, dict): # if it is a dict the optimizer includes extra information - name = opt[keywords['optimizer']] - lr = opt[keywords['lr']] + name = opt[keywords["optimizer"]] + lr = opt[keywords["lr"]] else: name = opt lr = None - ini = trial['misc']['space_vals'][keywords['initializer']] - dropout_rate = trial['misc']['space_vals'][keywords['dropout']] + ini = trial["misc"]["space_vals"][keywords["initializer"]] + dropout_rate = trial["misc"]["space_vals"][keywords["dropout"]] - - dict_out[keywords['optimizer']] = name - dict_out[keywords['lr']] = lr - dict_out[keywords['initializer']] = ini - dict_out[keywords['dropout']] = dropout_rate + dict_out[keywords["optimizer"]] = name + dict_out[keywords["lr"]] = lr + dict_out[keywords["initializer"]] = ini + dict_out[keywords["dropout"]] = dropout_rate def architecture_parser(trial, dict_out): @@ -105,28 +104,27 @@ def architecture_parser(trial, dict_out): l1, l2, l3, l4... max_layers layer_type """ - nodes_per_layer = trial['misc']['space_vals'][keywords['nodes']] + nodes_per_layer = trial["misc"]["space_vals"][keywords["nodes"]] nl = len(nodes_per_layer) - 1 - activation_name = trial['misc']['space_vals'][keywords['activation']][0] - architecture = trial['misc']['space_vals'][keywords['architecture']] + activation_name = trial["misc"]["space_vals"][keywords["activation"]][0] + architecture = trial["misc"]["space_vals"][keywords["architecture"]] - dict_out[keywords['nodes']] = nodes_per_layer - dict_out[keywords['nl']] = nl - dict_out[keywords['activation']] = activation_name - dict_out[keywords['architecture']] = architecture + dict_out[keywords["nodes"]] = nodes_per_layer + dict_out[keywords["nl"]] = nl + dict_out[keywords["activation"]] = activation_name + dict_out[keywords["architecture"]] = architecture # In principle we might be checking any number of layers, # so it is important to make sure that the maximum number of layers # (which will be used at plotting time) is correct - if nl > keywords['max_layers']: - keywords['max_layers'] = nl - + if nl > keywords["max_layers"]: + keywords["max_layers"] = nl - for i in range(keywords['max_layers']): - dict_out['layer_{0}'.format(i+1)] = None + for i in range(keywords["max_layers"]): + dict_out["layer_{0}".format(i + 1)] = None for i, nodes in enumerate(nodes_per_layer[:-1]): - dict_out['layer_{0}'.format(i+1)] = nodes + dict_out["layer_{0}".format(i + 1)] = nodes def stopping_parser(trial, dict_out): @@ -139,27 +137,27 @@ def stopping_parser(trial, dict_out): pos_multiplier """ - epochs = trial['misc']['space_vals'][keywords['epochs']] - patience = trial['misc']['space_vals'][keywords['stp']] - stop_ep = patience*epochs - positivity_initial = trial['misc']['space_vals'][keywords['p_ini']] - positivity_multiplier = trial['misc']['space_vals'][keywords['p_mul']] + epochs = trial["misc"]["space_vals"][keywords["epochs"]] + patience = trial["misc"]["space_vals"][keywords["stp"]] + stop_ep = patience * epochs + positivity_initial = trial["misc"]["space_vals"][keywords["p_ini"]] + positivity_multiplier = trial["misc"]["space_vals"][keywords["p_mul"]] - dict_out[keywords['epochs']] = epochs - dict_out[keywords['stp']] = patience - dict_out[keywords['ste']] = stop_ep - dict_out[keywords['p_ini']] = positivity_initial - dict_out[keywords['p_mul']] = positivity_multiplier + dict_out[keywords["epochs"]] = epochs + dict_out[keywords["stp"]] = patience + dict_out[keywords["ste"]] = stop_ep + dict_out[keywords["p_ini"]] = positivity_initial + dict_out[keywords["p_mul"]] = positivity_multiplier -def stat_parser(trial, dict_out, threshold = 1e3, val_f = 0.5, **kwargs): +def stat_parser(trial, dict_out, threshold=1e3, val_f=0.5, **kwargs): """ Parser the stats information of the trial, the losses, the failures, etc """ test_f = 1.0 - val_f - validation_loss = trial['result'][keywords['vl']] - testing_loss = trial['result'][keywords['tl']] - loss = validation_loss*val_f + testing_loss*test_f + validation_loss = trial["result"][keywords["vl"]] + testing_loss = trial["result"][keywords["tl"]] + loss = validation_loss * val_f + testing_loss * test_f if testing_loss < threshold and validation_loss < threshold: good_result = True @@ -167,19 +165,19 @@ def stat_parser(trial, dict_out, threshold = 1e3, val_f = 0.5, **kwargs): good_result = False # Was this a ok run? - if trial['result']['status'] != 'ok': + if trial["result"]["status"] != "ok": ok = False else: ok = good_result if not good_result: # Set bad results to be an order of magnitude above everything else - loss = threshold*10 + loss = threshold * 10 - dict_out[keywords['good']] = ok - dict_out[keywords['loss']] = loss - dict_out[keywords['vl']] = validation_loss - dict_out[keywords['tl']] = testing_loss + dict_out[keywords["good"]] = ok + dict_out[keywords["loss"]] = loss + dict_out[keywords["vl"]] = validation_loss + dict_out[keywords["tl"]] = testing_loss def filter_by_string(data_dict, filter_string): @@ -199,7 +197,7 @@ def filter_by_string(data_dict, filter_string): filter_key = keywords[filter_key] val_check = data_dict[filter_key] - if val_check is None: # NaN means it does not apply + if val_check is None: # NaN means it does not apply return True operator = regex_op.findall(filter_string)[0] @@ -214,7 +212,7 @@ def filter_by_string(data_dict, filter_string): if isinstance(val_check, str) and isinstance(filter_val, str): check_str = '"{0}"{1}"{2}"' else: - check_str = '{0}{1}{2}' + check_str = "{0}{1}{2}" try: return eval(check_str.format(val_check, operator, filter_val)) except: @@ -222,17 +220,15 @@ def filter_by_string(data_dict, filter_string): # General parsing -def trial_parser(trial, filter_me = None, **kwargs): +def trial_parser(trial, filter_me=None, **kwargs): """ Trials are very convoluted object, very branched inside The goal of this function is to separate said branching so we can create hierarchies """ # Is this a true trial - if trial['state'] != 2: + if trial["state"] != 2: return None - - data_dict = {} # Parse all information in easy to use dictionaries optimizer_parse(trial, data_dict) @@ -240,7 +236,6 @@ def trial_parser(trial, filter_me = None, **kwargs): stopping_parser(trial, data_dict) stat_parser(trial, data_dict, **kwargs) - # If a filter is set, check whether the trial pass the filter if filter_me: for filter_str in filter_me: @@ -249,6 +244,7 @@ def trial_parser(trial, filter_me = None, **kwargs): return data_dict + def filter_trials(input_trials, **kwargs): """ Applies the search algorithm to all the different trials to find the true best model @@ -262,7 +258,7 @@ def filter_trials(input_trials, **kwargs): trial_dict = trial_parser(trial, **kwargs) if trial_dict is None: continue - trial_dict[keywords['id']] = tid + trial_dict[keywords["id"]] = tid full_info.append(trial_dict) return full_info @@ -279,6 +275,7 @@ def order_axis(df, bestdf, key): best_x = np.array([str(best_x_lst[0])]) return ordering_true, best_x + def plot_scans(df, best_df, outfile): """ This function plots all trials in a nice multiplot @@ -287,73 +284,78 @@ def plot_scans(df, best_df, outfile): print("All trials:") print(df) - print('Best setup:') - with pd.option_context('display.max_rows', None, 'display.max_columns', None): + print("Best setup:") + with pd.option_context("display.max_rows", None, "display.max_columns", None): print(best_df) # Append extra keys for the number of possible layers - for i in range(keywords['max_layers']): - plotting_keys.append( ('layer_{0}'.format(i+1),4) ) - + for i in range(keywords["max_layers"]): + plotting_keys.append(("layer_{0}".format(i + 1), 4)) # Create a grid of plots nplots = len(plotting_keys) - _, axs = plt.subplots(4, nplots//4, sharey=True, figsize=(30,30)) + _, axs = plt.subplots(4, nplots // 4, sharey=True, figsize=(30, 30)) # Set the quantity we will be plotting in the y axis - loss_k = keywords['loss'] + loss_k = keywords["loss"] for ax, key_tuple in zip(axs.reshape(-1), plotting_keys): key = key_tuple[0] mode = key_tuple[1] - if mode == 0 or mode == 2: # normal scatter plot - ax = sns.scatterplot(x = key, y = loss_k, data = df, ax = ax) + if mode == 0 or mode == 2: # normal scatter plot + ax = sns.scatterplot(x=key, y=loss_k, data=df, ax=ax) best_x = best_df.get(key) if mode == 2: - ax.set_xscale('log') - ax.set_xlim( key_tuple[2] ) + ax.set_xscale("log") + ax.set_xlim(key_tuple[2]) elif mode == 1: ordering_true, best_x = order_axis(df, best_df, key=key) - ax = sns.violinplot(x=key, y=loss_k, data=df, ax=ax, palette="Set2",cut=0.0, order= ordering_true) + ax = sns.violinplot(x=key, y=loss_k, data=df, ax=ax, palette="Set2", cut=0.0, order=ordering_true) ax = sns.stripplot(x=key, y=loss_k, data=df, ax=ax, color="gray", order=ordering_true, alpha=0.4) elif mode == 4: # The nodes per layer is a special case because we want to know to # which total number of layers they correspond - ordering_true, _ = order_axis(df, best_df, key=keywords['nl']) + ordering_true, _ = order_axis(df, best_df, key=keywords["nl"]) best_x = best_df.get(key) for l in ordering_true: - plot_data = df[df[keywords['nl']] == l] - label = 'layers = {0}'.format(l) - ax = sns.scatterplot(x = key, y=loss_k, data=plot_data, ax=ax, label=label) + plot_data = df[df[keywords["nl"]] == l] + label = "layers = {0}".format(l) + ax = sns.scatterplot(x=key, y=loss_k, data=plot_data, ax=ax, label=label) ax.legend() # Finally plot the "best" one, which will be first - ax = sns.scatterplot(x = best_x, y = best_df.get(loss_k), ax = ax, color = 'orange', marker='s') - ax.set_ylabel('Loss') + ax = sns.scatterplot(x=best_x, y=best_df.get(loss_k), ax=ax, color="orange", marker="s") + ax.set_ylabel("Loss") ax.set_xlabel(key) - plt.savefig(f'{outfile}', bbox_inches="tight") + plt.savefig(f"{outfile}", bbox_inches="tight") + -def draw_histogram(dataframe, key, plotable = 'loss', columns = 2): +def draw_histogram(dataframe, key, plotable="loss", columns=2): values = set(dataframe[key]) nv = len(values) - rows = np.ceil(nv/columns) + rows = np.ceil(nv / columns) for i, value in enumerate(values): - plt.subplot(rows, columns, i+1) - data = dataframe[ dataframe[key] == value ] + plt.subplot(rows, columns, i + 1) + data = dataframe[dataframe[key] == value] plt.hist(data[plotable], 20) plt.xlabel(value) plt.show() -def print_stats(dataframe, - stats_keys = ['optimizer', 'nl', 'initializer', 'activation'], - n_combinations = 2, verbose = True, return_early = False, - how_many_to_kill = 2, remove_by_key = False, save_n_best = 10, - **kwargs - ): +def print_stats( + dataframe, + stats_keys=["optimizer", "nl", "initializer", "activation"], + n_combinations=2, + verbose=True, + return_early=False, + how_many_to_kill=2, + remove_by_key=False, + save_n_best=10, + **kwargs, +): """ Print statistics on failure rates, averages and so """ @@ -368,37 +370,41 @@ def read_key(key): else: key_name = key return key_name + def kclean(l): return [read_key(i) for i in l] + def remove_key(dictionary, key): new_d = dictionary.copy() new_d.pop(key) return new_d + def gen_key_info(full_dataframe, keys): key_info = {} for key_name in keys: all_possible_values = full_dataframe[key_name] - remove_nans = filter(lambda x: x==x, all_possible_values) + remove_nans = filter(lambda x: x == x, all_possible_values) remove_duplicates = sorted(list(set(remove_nans))) if remove_duplicates: key_info[key_name] = remove_duplicates return key_info + def get_slice(full_dataframe, key, value): - return full_dataframe[ full_dataframe[key] == value ] + return full_dataframe[full_dataframe[key] == value] from HyperAlgorithm import HyperAlgorithm - keys_lv_0 = kclean(['optimizer', 'number_of_layers']) - keys_lv_1 = kclean(['epochs', 'stopping_patience', 'activation']) - keys_lv_2 = kclean(['p_mul', 'p_ini', 'learning_rate']) + keys_lv_0 = kclean(["optimizer", "number_of_layers"]) + keys_lv_1 = kclean(["epochs", "stopping_patience", "activation"]) + keys_lv_2 = kclean(["p_mul", "p_ini", "learning_rate"]) keys_for_removal = keys_lv_0 + keys_lv_1 key_info_full = gen_key_info(dataframe, keys_for_removal) - hypalg = HyperAlgorithm(key_info = key_info_full) + hypalg = HyperAlgorithm(key_info=key_info_full) trim_dataframe = hypalg.remove_failing(dataframe) key_info_trim = gen_key_info(trim_dataframe, keys_for_removal) - hypalg = HyperAlgorithm(key_info = key_info_trim) + hypalg = HyperAlgorithm(key_info=key_info_trim) decision_tree = {} @@ -409,7 +415,7 @@ def get_slice(full_dataframe, key, value): full_slice = get_slice(trim_dataframe, key_0, val) trim_slice = hypalg.remove_failing(full_slice) for key in keys_for_removal[1:]: - trim_slice = hypalg.remove_failing(trim_slice, key = key, fail_threshold = 0.0) + trim_slice = hypalg.remove_failing(trim_slice, key=key, fail_threshold=0.0) # At this point I've already removed the worst worst ones, now we can create the "decision_tree" tree_key_info = gen_key_info(trim_slice, keys_lv_0[0:]) decision_tree[val] = (tree_key_info, trim_slice) @@ -419,90 +425,96 @@ def get_slice(full_dataframe, key, value): final_decision_tree = {} key_1 = keys_lv_0[1] - for val_0, info in decision_tree.items(): + for val_0, info in decision_tree.items(): keys = info[0] f_slice = info[1] options_1 = keys[key_1] - if verbose: print("For {0}, accepted options are: {1}={2}".format(val_0, key_1, options_1)) + if verbose: + print("For {0}, accepted options are: {1}={2}".format(val_0, key_1, options_1)) final_decision_tree[val_0] = {} for val in options_1: print(val) trim_slice = get_slice(f_slice, key_1, val) for key_name in keys_for_removal[2:]: - trim_slice = hypalg.remove_failing(trim_slice, key = key_name, fail_threshold = 0.0, verbose = False) + trim_slice = hypalg.remove_failing(trim_slice, key=key_name, fail_threshold=0.0, verbose=False) # Save the final slice for this branch of the tree final_decision_tree[val_0][val] = trim_slice # Now for each branch let's look at the rewards final_answer = {} for val_0, item_0 in final_decision_tree.items(): - if verbose: print("For {0}".format(val_0)) + if verbose: + print("For {0}".format(val_0)) final_answer[val_0] = {} for val_1, item_1 in item_0.items(): - if verbose: print("\n\nFor {0}".format(val_1)) + if verbose: + print("\n\nFor {0}".format(val_1)) # Now remove half of the combinations but only looking at the level_1 keys key_info_lv1 = gen_key_info(item_1, keys_lv_1) - falg = HyperAlgorithm(key_info = key_info_lv1) + falg = HyperAlgorithm(key_info=key_info_lv1) n1 = len(key_info_lv1) - trim_slice = falg.remove_failing(item_1, n_combinations = n1, - fail_threshold = 'median', verbose = False) + trim_slice = falg.remove_failing(item_1, n_combinations=n1, fail_threshold="median", verbose=False) # Now do the same with the level 2, remove the worst half key_info_lv2 = gen_key_info(trim_slice, keys_lv_2) - falg = HyperAlgorithm(key_info = key_info_lv2) + falg = HyperAlgorithm(key_info=key_info_lv2) n2 = len(key_info_lv2) - final_slice = falg.remove_failing(trim_slice, n_combinations = n2, - fail_threshold = 'median', verbose = False) + final_slice = falg.remove_failing(trim_slice, n_combinations=n2, fail_threshold="median", verbose=False) # Now print the ranges print_ranges = keys_lv_1 + keys_lv_2 - print(""" + print( + """ For {0} = {1} - {2} = {3}""".format(key_0, val_0, key_1, val_1)) - palg = HyperAlgorithm(key_info = gen_key_info(final_slice, print_ranges)) - palg.print_ranges(final_slice, dataframe_original = item_1) + {2} = {3}""".format( + key_0, val_0, key_1, val_1 + ) + ) + palg = HyperAlgorithm(key_info=gen_key_info(final_slice, print_ranges)) + palg.print_ranges(final_slice, dataframe_original=item_1) return - - - - #key_priority_raw = ["architecture", "optimizer", "number_of_layers", "epochs", "activation"] - key_priority_raw = ["optimizer", "epochs", "number_of_layers", "learning_rate", "activation", "layer_1", "layer_2", "layer_3"] - key_priority = [ read_key(i) for i in key_priority_raw ] + # key_priority_raw = ["architecture", "optimizer", "number_of_layers", "epochs", "activation"] + key_priority_raw = [ + "optimizer", + "epochs", + "number_of_layers", + "learning_rate", + "activation", + "layer_1", + "layer_2", + "layer_3", + ] + key_priority = [read_key(i) for i in key_priority_raw] # Now, for each key we need to get all the possible options key_info = gen_key_info(dataframe) # Now that we have all the options we need to go in priority order - - - # 1. Remove the failing entries (i.e., reward == failing reward) - hypalg = HyperAlgorithm(key_info = key_info) + hypalg = HyperAlgorithm(key_info=key_info) trim_dataframe = hypalg.remove_failing(dataframe) # 1.b Regenerate key_info key_info = gen_key_info(trim_dataframe) # 2. Now fix the optimizer and continue - key_0 = key_priority[0] # optimizer + key_0 = key_priority[0] # optimizer options_0 = key_info[key_0] key_info_0 = remove_key(key_info, key_0) - hypalg = HyperAlgorithm(key_info = key_info_0) + hypalg = HyperAlgorithm(key_info=key_info_0) for val in options_0: print("\n\n") print(val) - f_slice = trim_dataframe[ trim_dataframe[key_0] == val ] + f_slice = trim_dataframe[trim_dataframe[key_0] == val] # First remove all failing keys trim_slice = hypalg.remove_failing(f_slice) for key_name in key_priority[1:]: print(">") print(key_name) - trim_slice = hypalg.remove_failing(trim_slice, key = key_name, fail_threshold = 0.0) - hypalg.print_ranges(trim_slice, dataframe_original = f_slice) - + trim_slice = hypalg.remove_failing(trim_slice, key=key_name, fail_threshold=0.0) + hypalg.print_ranges(trim_slice, dataframe_original=f_slice) set_trace() - # Create a key_info dict with one entry removed for each key key_infos = [] last_k = key_info @@ -510,17 +522,14 @@ def get_slice(full_dataframe, key, value): last_k = remove_key(last_k, key_name) key_infos.append(last_k) - - - key_0 = key_priority[0] options_0 = key_info[key_0] slices_0 = [] - key_info_0 = { key_priority[1] : key_info[key_priority[1]] } - hyperalg_0 = HyperAlgorithm(key_info = key_info) + key_info_0 = {key_priority[1]: key_info[key_priority[1]]} + hyperalg_0 = HyperAlgorithm(key_info=key_info) hyperalg_0.check_wrapper_weaklings_killer(dataframe, 1) for option_0 in options_0: - slices_0.append(dataframe[ dataframe[key_0] == option_0 ]) + slices_0.append(dataframe[dataframe[key_0] == option_0]) for slice_0 in slices_0: # check the rewards, if some are particularly bad, kill them _ = hyperalg_0.check_wrapper_weaklings_killer(slice_0, 1) @@ -531,38 +540,32 @@ def get_slice(full_dataframe, key, value): # y asi set_trace() - - - - - - - def print_me(string): if verbose: print(string) def kill_val(key, name): - dataframe.loc[ dataframe[key] == name, keywords['good'] ] = False + dataframe.loc[dataframe[key] == name, keywords["good"]] = False def process_slice(df_slice): """ Function to process a slice into a dictionary with interesting stats """ md = {} - good = df_slice[ df_slice[keywords['good']] ] - md['n_total'] = len(df_slice) - md['n_good'] = len(good) - md['n_failed'] = md['n_total'] - md['n_good'] - if md['n_total'] == 0: + good = df_slice[df_slice[keywords["good"]]] + md["n_total"] = len(df_slice) + md["n_good"] = len(good) + md["n_failed"] = md["n_total"] - md["n_good"] + if md["n_total"] == 0: f_rate = None else: - f_rate = md['n_failed']/md['n_total']*100 - md['f_rate'] = f_rate + f_rate = md["n_failed"] / md["n_total"] * 100 + md["f_rate"] = f_rate # Compute for each the best loss (among the good ones) and the std dev - good_losses = good[ keywords['loss'] ] - md['best_loss'] = good_losses.min() - md['std'] = good_losses.std() + good_losses = good[keywords["loss"]] + md["best_loss"] = good_losses.min() + md["std"] = good_losses.std() return md + ############################### # Parse the keys into a dict of { 'keyname' : [possible, values] } @@ -580,7 +583,10 @@ def process_slice(df_slice): key_info[key_name] = possible_values from HyperAlgorithm import HyperAlgorithm - hyperalg = HyperAlgorithm(key_info = key_info, fail_threshold=65, how_many_to_kill = how_many_to_kill, remove_by_key = remove_by_key ) + + hyperalg = HyperAlgorithm( + key_info=key_info, fail_threshold=65, how_many_to_kill=how_many_to_kill, remove_by_key=remove_by_key + ) # First run over all keys and print_me the information for them to see the general picture @@ -593,24 +599,26 @@ def process_slice(df_slice): set_trace() new_dataframe = hyperalg.check_wrapper_weaklings_killer(new_dataframe, 3) - -# for i in range(1, n_combinations): -# new_dataframe = hyperalg.check_wrapper(new_dataframe, i, kill = True) + # for i in range(1, n_combinations): + # new_dataframe = hyperalg.check_wrapper(new_dataframe, i, kill = True) # For the last one, only the n_best surviv - new_dataframe = hyperalg.check_wrapper(new_dataframe, n_combinations, kill = True, save_n_best = save_n_best) + new_dataframe = hyperalg.check_wrapper(new_dataframe, n_combinations, kill=True, save_n_best=save_n_best) # Finally print the survivors - hyperalg.print_ranges(new_dataframe, dataframe_original = dataframe) + hyperalg.print_ranges(new_dataframe, dataframe_original=dataframe) + # Wrapper -def generate_scan_report_from_file(replica_path, json_name = "tries.json", include_failures = False, histogram = None, stats = False, **kwargs): +def generate_scan_report_from_file( + replica_path, json_name="tries.json", include_failures=False, histogram=None, stats=False, **kwargs +): """ Read json file and generate a the corresponding scan report """ filename = "{0}/{1}".format(replica_path, json_name) # Open the file and reads it as a json - with open(filename, 'r') as jlist: + with open(filename, "r") as jlist: input_trials = json.load(jlist) # Read all trials and create a list of dictionaries @@ -628,23 +636,19 @@ def generate_scan_report_from_file(replica_path, json_name = "tries.json", inclu if include_failures: dataframe = dataframe_raw else: - dataframe = dataframe_raw[ dataframe_raw['good'] ] - - + dataframe = dataframe_raw[dataframe_raw["good"]] # Now select the best one best_idx = dataframe.loss.idxmin() best_trial = dataframe.ix[best_idx] # Select it in this a bit more complicatted way for the plotting code to work ???? - best_trial = dataframe[ dataframe[keywords['id']] == best_trial.get(keywords['id'])] + best_trial = dataframe[dataframe[keywords["id"]] == best_trial.get(keywords["id"])] if histogram: draw_histogram(dataframe, histogram) - - # Plot the plot - fileout = f'{replica_path}/scan.pdf' + fileout = f"{replica_path}/scan.pdf" plot_scans(dataframe, best_trial, fileout) print("Plot saved at {0}".format(fileout)) @@ -678,16 +682,17 @@ def generate_scan_report_from_file(replica_path, json_name = "tries.json", inclu for json_path in all_json: replica_path = os.path.dirname(json_path) - generate_scan_report_from_file(replica_path, - val_f = args.val_multiplier, - include_failures = args.include_failures, - threshold = args.threshold, - histogram = args.histogram, - filter_me = args.filter, - stats = args.stats, - stats_keys = args.stats_keys, - n_combinations = args.ncombinations, - how_many_to_kill = args.n_to_remove, - remove_by_key = args.remove_by_key, - save_n_best = args.save_n_best, - ) + generate_scan_report_from_file( + replica_path, + val_f=args.val_multiplier, + include_failures=args.include_failures, + threshold=args.threshold, + histogram=args.histogram, + filter_me=args.filter, + stats=args.stats, + stats_keys=args.stats_keys, + n_combinations=args.ncombinations, + how_many_to_kill=args.n_to_remove, + remove_by_key=args.remove_by_key, + save_n_best=args.save_n_best, + ) diff --git a/n3fit/reader.py b/n3fit/reader.py index 5d82bc7bd2..4fc45a3475 100644 --- a/n3fit/reader.py +++ b/n3fit/reader.py @@ -9,9 +9,10 @@ from validphys.core import ExperimentSpec as vp_Exp from validphys.core import DataSetSpec as vp_Dataset + def make_tr_val_mask(datasets, exp_name, seed): # Set the seed for the experiment - nameseed = int(hashlib.sha256(exp_name.encode()).hexdigest(), 16) % 10**8 + nameseed = int(hashlib.sha256(exp_name.encode()).hexdigest(), 16) % 10 ** 8 nameseed += seed np.random.seed(nameseed) @@ -31,7 +32,8 @@ def make_tr_val_mask(datasets, exp_name, seed): return trmask, vlmask -def fk_parser(fk, is_hadronic = False): + +def fk_parser(fk, is_hadronic=False): """ Input: fktable object Output: @@ -42,7 +44,7 @@ def fk_parser(fk, is_hadronic = False): # Dimensional information nonzero = fk.GetNonZero() - ndata = fk.GetNData() + ndata = fk.GetNData() nx = fk.GetTx() # Basis of active flavours @@ -66,27 +68,27 @@ def fk_parser(fk, is_hadronic = False): l = len(fktable_flat) # get the padding pad_position = fk.GetDSz() - pad_size = fk.GetDSz() - nx*nonzero + pad_size = fk.GetDSz() - nx * nonzero # remove the padding if pad_size > 0: mask = np.ones(l, dtype=bool) - for i in range(1, int(l/pad_position) + 1 ): - marker = pad_position*i - mask[ marker-pad_size : marker ] = False + for i in range(1, int(l / pad_position) + 1): + marker = pad_position * i + mask[marker - pad_size : marker] = False fktable_array = fktable_flat[mask] else: fktable_array = fktable_flat # reshape - fktable = fktable_array.reshape( shape_out ) + fktable = fktable_array.reshape(shape_out) dict_out = { - 'ndata' : ndata, - 'nbasis': nbasis, - 'nonzero': nbasis, - 'basis' : basis, - 'nx' : nx, - 'xgrid': xgrid, - 'fktable' : fktable, + "ndata": ndata, + "nbasis": nbasis, + "nonzero": nbasis, + "basis": basis, + "nx": nx, + "xgrid": xgrid, + "fktable": fktable, } return dict_out @@ -115,13 +117,13 @@ def common_data_reader_dataset(dataset_c, dataset_spec): dict_fktables.append(fk_parser(fktable, dataset_c.IsHadronic())) dataset_dict = { - 'fktables' : dict_fktables , - 'hadronic' : dataset_c.IsHadronic(), - 'operation' : dataset_spec.op, - 'name' : dataset_c.GetSetName(), - 'frac' : dataset_spec.frac, - 'ndata' : dataset_c.GetNData() - } + "fktables": dict_fktables, + "hadronic": dataset_c.IsHadronic(), + "operation": dataset_spec.op, + "name": dataset_c.GetSetName(), + "frac": dataset_spec.frac, + "ndata": dataset_c.GetNData(), + } return [dataset_dict] @@ -133,8 +135,7 @@ def common_data_reader_experiment(experiment_c, experiment_spec): return parsed_datasets - -def common_data_reader(spec, t0pdfset, replica_seeds = None, trval_seeds = None): +def common_data_reader(spec, t0pdfset, replica_seeds=None, trval_seeds=None): """ Wrapper to read the information from validphys object This function receives either a validphyis experiment or dataset objects @@ -161,25 +162,24 @@ def common_data_reader(spec, t0pdfset, replica_seeds = None, trval_seeds = None) ndata = spec_c.GetNData() expdata_true = spec_c.get_cv().reshape(1, ndata) spec_c.SetT0(t0pdfset) - base_mcseed = int(hashlib.sha256(str(spec).encode()).hexdigest(), 16) % 10**8 + base_mcseed = int(hashlib.sha256(str(spec).encode()).hexdigest(), 16) % 10 ** 8 if replica_seeds: all_expdatas = [] else: all_expdatas = [expdata_true.reshape(ndata)] - for replica_seed in replica_seeds: spec_replica = copy.deepcopy(spec) - spec_replica_c = spec_replica.load() # I might need the t0 set here as well + spec_replica_c = spec_replica.load() # I might need the t0 set here as well # Replica generation mcseed = base_mcseed + replica_seed RandomGenerator.InitRNG(0, mcseed) spec_replica_c.MakeReplica() - all_expdatas.append( spec_replica_c.get_cv() ) + all_expdatas.append(spec_replica_c.get_cv()) - #spec_c = spec_replica_c + # spec_c = spec_replica_c if isinstance(spec, vp_Exp): datasets = common_data_reader_experiment(spec_c, spec) @@ -230,31 +230,34 @@ def common_data_reader(spec, t0pdfset, replica_seeds = None, trval_seeds = None) return all_dict_out + def positivity_reader(pos_spec): pos_c = pos_spec.load() ndata = pos_c.GetNData() parsed_set = [fk_parser(pos_c, pos_c.IsHadronic())] - pos_sets = [{ - 'fktables' : parsed_set, - 'hadronic' : pos_c.IsHadronic(), - 'operation' : 'NULL', - 'name' : pos_spec.name, - 'frac' : 1.0, - 'ndata' : ndata, - }] + pos_sets = [ + { + "fktables": parsed_set, + "hadronic": pos_c.IsHadronic(), + "operation": "NULL", + "name": pos_spec.name, + "frac": 1.0, + "ndata": ndata, + } + ] positivity_factor = pos_spec.poslambda dict_out = { - 'datasets' : pos_sets, - 'trmask' : np.ones(ndata, dtype = np.bool), - 'name' : pos_spec.name, - 'expdata' : np.zeros( (1,ndata) ), - 'ndata' : ndata, - 'positivity' : True, - 'lambda' : positivity_factor - } + "datasets": pos_sets, + "trmask": np.ones(ndata, dtype=np.bool), + "name": pos_spec.name, + "expdata": np.zeros((1, ndata)), + "ndata": ndata, + "positivity": True, + "lambda": positivity_factor, + } return dict_out From 351347868d3b31773d77d592cee76916340e7a39 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Tue, 21 May 2019 10:41:52 +0100 Subject: [PATCH 333/429] fixed output of test_t0sqrtcovmat to use t0 pdf, updated all tests to work with new function layout --- validphys2/src/validphys/tests/conftest.py | 14 + .../tests/regressions/test_t0sqrtcovmat.csv | 690 +++++++++--------- .../src/validphys/tests/test_regressions.py | 26 +- 3 files changed, 373 insertions(+), 357 deletions(-) diff --git a/validphys2/src/validphys/tests/conftest.py b/validphys2/src/validphys/tests/conftest.py index 3a84a34314..a8a0f5a172 100644 --- a/validphys2/src/validphys/tests/conftest.py +++ b/validphys2/src/validphys/tests/conftest.py @@ -34,6 +34,20 @@ def data(): pdf = l.check_pdf("NNPDF31_nnlo_as_0118") return pdf, exps +@pytest.fixture(scope='module') +def exps_covariance_matrices(data): + """produces a list of covariance matrix outputs for each experiment""" + _, exps = data + covs = [results.experiment_covariance_matrix(exp, False, None) for exp in exps] + return covs + +@pytest.fixture(scope='module') +def t0_exps_covariance_matrices(data): + """produces a list of covariance matrix outputs for each experiment""" + pdf, exps = data + covs = [results.experiment_covariance_matrix(exp, False, pdf) for exp in exps] + return covs + def convolution_results_implement(data): pdf, exps = data #no theory covmat here diff --git a/validphys2/src/validphys/tests/regressions/test_t0sqrtcovmat.csv b/validphys2/src/validphys/tests/regressions/test_t0sqrtcovmat.csv index eda42b5d75..5cdd1e7551 100644 --- a/validphys2/src/validphys/tests/regressions/test_t0sqrtcovmat.csv +++ b/validphys2/src/validphys/tests/regressions/test_t0sqrtcovmat.csv @@ -2,348 +2,348 @@ experiment NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC dataset NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC NMC ATLASTTBARTOT ATLASTTBARTOT ATLASTTBARTOT CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 CMSZDIFF12 id 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 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0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 1 0.008821330111828675 0.008005721532073603 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 2 0.006749591244761462 0.0007114463771572716 0.006937559456415447 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 3 0.007913069240370135 0.0011285052967313213 0.0011464192861860086 0.004394430500894139 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 4 0.008438355353291188 0.001441687306786823 0.0008798418081841181 0.0017552254005551529 0.009572923025216928 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 5 0.006327956883063566 0.0007307634131032304 0.0015280668604497312 0.0016566816840915737 0.00034224765592470247 0.005423875074949744 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 7 0.007831588949347297 0.0013302644497092213 0.0011017208069731557 0.0019160193806865742 0.0007383343039009547 0.0009263663108953928 0.0009649443466200034 0.011209431919428284 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 8 0.005261221264748089 0.0006154432423020648 0.0017845161020828147 0.0019606192827887584 0.0004129399034603034 0.0018791977773687395 0.0011372767736616844 0.00041137895822721253 0.006564282847370715 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 9 0.006066168767960443 0.0007410221360990197 0.001714403796711682 0.0019051488918368981 0.0004325659572365195 0.0017149180070894746 0.0010463997582425499 0.0003803013953148953 0.0014200584159191566 0.004995041761250307 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 10 0.006923095906708279 0.000965286290954078 0.0016367538380783607 0.0020190299484108987 0.0005565170050154446 0.0015957816329471098 0.0010890520820892398 0.00044939962366885713 0.0012493115900008476 0.001137317603141253 0.004955984280210443 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.0022735731196922315 0.0016092288037185022 0.0009356707751497251 -2.8585652193817522e-05 0.009109073344591836 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 14 0.005658853139003996 0.0006619571290253629 0.0019916325876598315 0.0021265784492667814 0.0004501119709742338 0.0021337357905871768 0.0012507934231105633 0.00044779411992073177 0.0019005809908506123 0.0015689742640605622 0.0010862233141387804 9.327718663848961e-05 0.000809138276526396 0.0010430251124137315 0.0050649515876439385 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.00031168462216457746 0.00034168489711183944 0.0005814586817265763 0.0007169284387830166 0.009240222890239297 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 18 0.005139393371397363 0.00029012852971385444 0.002428526510756851 0.002121508905905209 0.00019931412254169028 0.002526527746093442 0.0012198853077783475 0.00028785211140292644 0.002465733763755572 0.001750971570696331 0.0009802893934908452 -7.98813203094295e-05 0.001381560264421808 0.0014363347874980998 0.0010790839639502456 6.949512746556521e-05 -0.00013626807257400382 0.0011200612639814661 0.006436309966030796 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 19 0.004910694521928393 0.000440687028879745 0.002213244113781211 0.0021584390915862293 0.0003509344768158574 0.002425676852675391 0.0013101343404861895 0.0004150163131337352 0.0023271487706187683 0.0017742085378601908 0.0011242063509232956 2.9932430335784593e-05 0.0011220448659719278 0.0013221624294220769 0.0011328151578777848 0.0002582666743603963 -2.998318202947355e-05 0.0006612934751612697 0.0009191779642180523 0.004519629204369991 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 20 0.00582898831172771 0.0008249066110704404 0.0019674208394381255 0.0023505488496164476 0.0006143487178791046 0.0021947976106445033 0.0014365031498880475 0.0005953064234422732 0.0021220951837150454 0.0016568319831868042 0.0012021934089755098 0.00019895773062036197 0.0008350584696523675 0.0011019495551354054 0.0010660763580693372 0.0004838133821458989 0.00015711386105806118 0.0002452105198286564 0.0005822396279299146 0.000893114913136585 0.005978668363638702 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.0011910765707807368 0.0015924215618913855 0.0023518480133810768 0.0008057582255832193 0.0017312946966693628 0.0013909961239718992 0.0006859674257567498 0.0015974935520078044 0.001327763570522413 0.001123523727134101 0.00032745260449240106 0.000425953855301921 0.000712349677977649 0.0008440131293958293 0.0006150381074459013 0.0002965172364369279 -0.00016247099591688662 0.00017342548191887368 0.0006107989870174287 0.0007117496421241831 0.00045787827106641367 0.0002379350959131502 -0.00026584157166487457 -0.00014828280626488687 0.00010996132970092434 0.0002837931541477241 0.0003164066057748606 0.00023539919298010657 0.037059151880689284 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.0025788393561293537 -0.00015228088884578937 0.003393924753971537 0.0013110929392942375 3.988281875619164e-05 0.0037801731544090896 0.002051893130814096 0.0007126490916490498 -0.0003725732009520746 0.0027060762284401257 0.0022346889764546496 0.001142893836434338 -0.00041988465192147994 -0.000368590670100674 0.0029830251028077496 0.0027129562787512828 0.001466785000201874 9.807271477625303e-07 -0.0003332338867239856 -0.00022649426409225023 0.0021390290907184126 0.0022907077446055165 0.0017012607362312507 0.0004893480272045105 -7.61219228030691e-05 -0.00014063031008961944 -0.00010738662766774304 0.021803129914059 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.0032118450563582224 0.0013868424111378292 0.00019666774234542534 0.0035326792097756126 0.0020879556769115557 0.0009205756238839024 -0.0002332561044069634 0.00231294143345733 0.0020676900349850657 0.0012306023949973039 -0.0001657005040194941 -0.0002412080332479191 0.0022759381049000525 0.0022211516180434725 0.0014313408673990427 0.00024718961416927775 -0.00013232502851894684 -0.00012629142737955097 0.0015516147173176048 0.0017297357715827747 0.001401471851555197 0.0005054565552944244 4.993507736949544e-05 -4.193038013624612e-05 -5.201017548005517e-05 0.0010055422954845397 0.01138475682560394 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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0.00022508931620698284 0.00019706402390966255 0.0001417947064604278 0.00010806169400747832 2.4952729029371496e-05 0.000159275314229681 0.00018551911712164106 0.00019990983337601242 0.00017117761731035467 0.014375931164503107 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 49 0.00788321214031755 -1.9852886429269582e-05 0.003691778944945246 0.002565424137479505 -0.0002301689382050692 0.0033404557384601494 0.0011885389230952659 -6.692935614814932e-05 0.0034587783978224287 0.001941977874133716 0.0006207875364249619 -0.0004465983474746142 0.0025773817089684552 0.0020847703745930637 0.0010385112375510311 -0.0005543600498433042 -0.0004807183886674693 0.003016811861585066 0.0026471411853088394 0.0013258595591615905 -0.00019464924540882832 -0.00047995749706657945 -0.00031176976203704923 0.002158989029381472 0.0022637330301625656 0.0016417969766624712 0.000437674068974472 -0.00014709532602702978 -0.00020834403522485053 -0.00013571505196609908 0.0013755714415629098 0.0017325130310053428 0.001249860772828533 0.0006061002010891353 0.00018835935764336024 -7.321334720795738e-05 -9.541507558115046e-05 0.001466840254491922 0.0012289662385340887 0.0006621704757320022 0.00023235895147951608 8.650713398099227e-05 -4.4667416856166996e-06 0.001090437952028785 0.001807042430421166 0.0007591256539581478 0.000289335485661218 0.0001049026674001415 5.1831300143891104e-05 0.011531816512274497 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 50 0.006044377517948102 0.00010318400967457488 0.0030069693640060184 0.002313220258076334 -5.9820846711553855e-06 0.0029385530531612814 0.0012220246158167415 0.00013217524128656102 0.003001221091978529 0.001878922995020415 0.0008370900222479334 -0.000246234045984618 0.0019720222222304636 0.001785614379294321 0.0010993531736586846 -0.00020497350917995222 -0.0002906618935104075 0.002007481382719994 0.0019216308201343319 0.0012230255493260941 0.0001278622241442887 -0.0002056106658143469 -0.00016883339016172112 0.0013395308007401595 0.0014731984319982603 0.0011987824715939499 0.0004382795901653155 1.890598241987935e-05 -7.226114941715449e-05 -5.9067905802760064e-05 0.0008349572609960373 0.001092913756384334 0.0008798147109462809 0.0004851354848847723 0.00019828088943164114 1.0376980857644769e-05 -2.6091119850266137e-05 0.0008817676437447774 0.0008109427252422643 0.0004809826450495616 0.0002115455303070602 0.00010462457116650373 3.1971443848106776e-05 0.0006200478072057557 0.001082515928013603 0.0005305699842759935 0.0002646215508262426 0.00013087615722249597 8.343476873155831e-05 0.0006980670332590428 0.00835818414547646 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 51 0.005509412379159993 0.00019760264175842901 0.0029603246013244263 0.0024779837189718955 0.00016795705604592036 0.0030986042219360533 0.0014434591562308158 0.0003073789506360944 0.0031521144815978078 0.0021337998875567846 0.0011330816388228494 -0.00013379969733416257 0.0018480189754930716 0.0018502288944185535 0.0013144724961938977 2.6645502567525332e-05 -0.0001873567329274608 0.0015724341772763038 0.0016906485421270183 0.001345831636186486 0.00039867651066883875 -1.931877616250779e-05 -8.120780198623657e-05 0.000944245970812632 0.001124394091616249 0.0010642961312271543 0.0005086246536789911 0.00014756062883429104 2.113283611311529e-05 -1.0288539817077783e-05 0.0005688898780789825 0.0008023792543229052 0.0007547734091770962 0.0004736215247366791 0.00023413760730254016 7.256378592609753e-05 2.0366394479304637e-05 0.0005949156908928684 0.0006398800841615268 0.00042464243827167815 0.00022616686396250172 0.00013126258701361823 5.892306889114952e-05 0.0003681575128507257 0.0007110519563152019 0.00045240765790655676 0.000291055669031637 0.00016814557974660825 0.00010945923748517017 0.00039012025833137136 0.0003586796584587047 0.010307834988674543 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -NMC NMC 52 0.004557158089265484 0.0003061483399900766 0.002395094730945266 0.0022108498389690405 0.00028068273174164756 0.0026286352307585193 0.0013518668781885312 0.00038691681232211816 0.00267000751774217 0.0018895944765123633 0.0011176083318581755 -1.3972859820780871e-05 0.001403525866342556 0.001536015893688863 0.0012077280814684927 0.00019925177127453548 -6.138721766602334e-05 0.0009877810279901738 0.0012122233551430652 0.0011639644808733875 0.0005140413215805374 0.00011664132562244875 3.350685487350258e-06 0.0005102312824344709 0.0006837254693452834 0.0007678988613927484 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0.0005182573680243361 0.0007270010120898448 0.0009119174268580674 0.0001737858119844886 0.005005275406039846 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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b/validphys2/src/validphys/tests/test_regressions.py @@ -51,10 +51,11 @@ def f_(*args, **kwargs): return decorator @make_table_comp(parse_exp_mat) -def test_expcovmat(data): - pdf, exps = data +def test_expcovmat(data, exps_covariance_matrices): + _, exps = data eindex = results.experiments_index(exps) - mat = results.experiments_covmat_no_table(exps, eindex, t0set=None) + mat = results.experiments_covmat_no_table( + exps, eindex, exps_covariance_matrices) covmats = [] for exp in exps: cd = exp.datasets[0].commondata.load() @@ -64,22 +65,23 @@ def test_expcovmat(data): return mat @make_table_comp(parse_exp_mat) -def test_t0covmat(data): - pdf, exps = data +def test_t0covmat(data, t0_exps_covariance_matrices): + _, exps = data eindex = results.experiments_index(exps) - return results.experiments_covmat_no_table(exps, eindex, pdf) + return results.experiments_covmat_no_table( + exps, eindex, t0_exps_covariance_matrices) @make_table_comp(parse_exp_mat) -def test_expsqrtcovmat(data): - pdf, exps = data +def test_expsqrtcovmat(data, exps_covariance_matrices): + _, exps = data eindex = results.experiments_index(exps) - return results.experiments_sqrtcovmat(exps, eindex, t0set=None) + return results.experiments_sqrtcovmat(exps, eindex, exps_covariance_matrices) @make_table_comp(parse_exp_mat) -def test_t0sqrtcovmat(data): - pdf, exps = data +def test_t0sqrtcovmat(data, t0_exps_covariance_matrices): + _, exps = data eindex = results.experiments_index(exps) - return results.experiments_sqrtcovmat(exps, eindex, pdf) + return results.experiments_sqrtcovmat(exps, eindex, t0_exps_covariance_matrices) @make_table_comp(sane_load) From e131016cb7c7db502bcc5aa5a743d5ca4fd4759e Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 9 Apr 2019 15:04:40 +0100 Subject: [PATCH 334/429] Add proof of concept of image comparison tests --- .../validphys/tests/baseline/test_plotpdfs.png | Bin 0 -> 36013 bytes validphys2/src/validphys/tests/test_pdfplots.py | 15 +++++++++++++++ 2 files changed, 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+matplotlib.use('agg') + +import pytest + +from validphys.app import API + +@pytest.mark.mpl_image_compare +def test_plotpdfs(): + pdfs = ['NNPDF31_nnlo_as_0118'] + Q = 10 + flavours = ['g'] + #plot_pdfs returns a generator with (figure, name_hint) + return next(API.plot_pdfs(pdfs=pdfs, Q=Q, flavours=flavours))[0] From 23a91b9ee6449187fceccecdc6f852deb8f7ef7a Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 22 May 2019 09:26:20 +0100 Subject: [PATCH 335/429] changed import of API from app to api in plot pdfs test --- conda-recipe/meta.yaml | 1 + validphys2/src/validphys/tests/test_pdfplots.py | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/conda-recipe/meta.yaml b/conda-recipe/meta.yaml index 5734fc010f..935a993d78 100644 --- a/conda-recipe/meta.yaml +++ b/conda-recipe/meta.yaml @@ -44,6 +44,7 @@ test: - hypothesis - pytest - coverage + - pytest-mpl #Build dependencies for catch tests - {{ compiler("cxx") }} - {{ compiler("c") }} diff --git a/validphys2/src/validphys/tests/test_pdfplots.py b/validphys2/src/validphys/tests/test_pdfplots.py index 323d31f589..d4ae80d09b 100644 --- a/validphys2/src/validphys/tests/test_pdfplots.py +++ b/validphys2/src/validphys/tests/test_pdfplots.py @@ -4,7 +4,7 @@ import pytest -from validphys.app import API +from validphys.api import API @pytest.mark.mpl_image_compare def test_plotpdfs(): From bdca24b561f612d2d24fc60932346ef234c121d8 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 22 May 2019 12:00:12 +0100 Subject: [PATCH 336/429] using floatformatting to improve sig figs on evector plot --- validphys2/src/validphys/theorycovariance/tests.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index a73ded31b5..ea7e0cd376 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -18,6 +18,7 @@ from reportengine.figure import figure from reportengine.table import table from reportengine import collect +from reportengine import floatformatting from validphys.checks import check_two_dataspecs @@ -646,6 +647,7 @@ def eigenvector_plot(evals_nonzero_basis, shx_vector): fig, axes = plt.subplots(nrows=len(evecs), figsize=(10, 2*len(evecs))) fig.subplots_adjust(hspace=0.8) for ax, evec, eval in zip(axes.flatten(), evecs, evals): + eval_3sf = floatformatting.significant_digits(eval.item(), 3) evec = pd.DataFrame(evec, index=tripleindex) evec = evec.reindex(newindex) ax.plot(-f.values, color="k", label="NNLO-NLO shift") @@ -657,7 +659,7 @@ def eigenvector_plot(evals_nonzero_basis, shx_vector): ax.get_ylim()[1], linestyles='dashed') ax.margins(x=0, y=0) # Adding eigenvalue to legend - extraString = f'Eigenvalue = {eval}' + extraString = f'Eigenvalue = {eval_3sf}' handles, labels = ax.get_legend_handles_labels() handles.append(mpatches.Patch(color='none', label=extraString)) ax.legend(handles=handles) From f9ebd8a2b35713de80084b10142db337de9dcca3 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 22 May 2019 12:07:41 +0100 Subject: [PATCH 337/429] added image comparison test for plot_dataspecs_datasets_chi2 --- conda-recipe/run_test.sh | 2 +- .../tests/baseline/test_dataspecschi2.png | Bin 0 -> 23276 bytes .../src/validphys/tests/test_pdfplots.py | 20 ++++++++++++++++++ 3 files changed, 21 insertions(+), 1 deletion(-) create mode 100644 validphys2/src/validphys/tests/baseline/test_dataspecschi2.png diff --git a/conda-recipe/run_test.sh b/conda-recipe/run_test.sh index 384765db28..0114695e32 100644 --- a/conda-recipe/run_test.sh +++ b/conda-recipe/run_test.sh @@ -4,7 +4,7 @@ set -v set -e #Python tests for the installed validphys package -pytest --pyargs validphys +pytest --pyargs --mpl validphys mkdir bldtest cd bldtest diff --git a/validphys2/src/validphys/tests/baseline/test_dataspecschi2.png 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zh>NM}2theZFcytUa@XIl!{C(6MZmD(Vf;j%Uvc*A}-~rpgs#L>kLo;v_dh`+Pxk=XXg0_rXZBLz8@ z1B-bMo^a*p>^wI7g&|cx|F8Llg>_50 Date: Tue, 21 May 2019 09:43:53 +0100 Subject: [PATCH 338/429] adding diagonal/blockdiagonal functionalities --- validphys2/src/validphys/config.py | 22 ++++++- .../theorycovariance/construction.py | 61 +++++++++++-------- 2 files changed, 56 insertions(+), 27 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 6156c59fc2..ad47f630e9 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -701,11 +701,27 @@ def produce_all_lumi_channels(self): return {'lumi_channels': self.parse_lumi_channels(list(LUMI_CHANNELS))} @configparser.explicit_node - def produce_nnfit_theory_covmat(self, use_thcovmat_in_sampling:bool, use_thcovmat_in_fitting:bool): + def produce_nnfit_theory_covmat(self, use_thcovmat_in_sampling:bool, use_thcovmat_in_fitting:bool, + thcovmat_type:str='full'): + valid_type = {'full','blockdiagonal','diagonal'} + if thcovmat_type not in valid_type: + raise ConfigError(f"Invalid thcovmat_type setting: '{valid_type}'.", + thcovmat_type, valid_type) + from validphys.theorycovariance.construction import theory_covmat_custom - @functools.wraps(theory_covmat_custom) + from validphys.theorycovariance.construction import theory_diagonal_covmat + from validphys.theorycovariance.construction import theory_block_diag_covmat + + if thcovmat_type == 'full': + f = theory_covmat_custom + if thcovmat_type == 'diagonal': + f = theory_diagonal_covmat + if thcovmat_type == 'blockdiagonal': + f = theory_block_diag_covmat + + @functools.wraps(f) def res(*args, **kwargs): - return theory_covmat_custom(*args, **kwargs) + return f(*args, **kwargs) #Set this to get the same filename regardless of the action. res.__name__ = 'theory_covmat' return res diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 91ba6b930f..c00b490ead 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -63,7 +63,7 @@ def make_scale_var_covmat(predictions): return s @check_correct_theory_combination -def theory_covmat_no_table(theoryids_experiments_central_values_no_table, +def theory_covmat_singleprocess_no_table(theoryids_experiments_central_values_no_table, experiments_index, theoryids, fivetheories:(str, type(None)) = None): @@ -75,9 +75,9 @@ def theory_covmat_no_table(theoryids_experiments_central_values_no_table, @table @check_correct_theory_combination -def theory_covmat(theory_covmat_no_table, fivetheories:(str, type(None)) = None): - """Duplicate of theory_covmat_no_table but with a table decorator.""" - return theory_covmat_no_table +def theory_covmat_singleprocess(theory_covmat_singleprocess_no_table, fivetheories:(str, type(None)) = None): + """Duplicate of theory_covmat_singleprocess_no_table but with a table decorator.""" + return theory_covmat_singleprocess_no_table results_bytheoryids = collect(results,('theoryids',)) each_dataset_results_bytheory = collect('results_bytheoryids', @@ -127,7 +127,7 @@ def total_covmat_diagtheory_datasets(each_dataset_results_bytheory, dataset_covmats.append(cov) return dataset_covmats - +@table def theory_block_diag_covmat(theory_covmat_datasets, experiments_index): """Takes the theory covariance matrices for individual datasets and returns a data frame with a block diagonal theory covariance matrix @@ -136,6 +136,16 @@ def theory_block_diag_covmat(theory_covmat_datasets, experiments_index): df = pd.DataFrame(s, index=experiments_index, columns=experiments_index) return df +@table +def theory_diagonal_covmat(theory_block_diag_covmat,experiments_index): + """Returns theory covmat with only diagonal values""" + s = theory_block_diag_covmat.values + # Initialise array of zeros and set precision to same as FK tables + s_diag = np.zeros((len(s),len(s)), dtype=np.float32) + np.fill_diagonal(s_diag, np.diag(s)) + df = pd.DataFrame(s_diag, index=experiments_index, columns=experiments_index) + return df + experiments_results_theory = collect('experiments_results', ('theoryids',)) @check_correct_theory_combination @@ -401,9 +411,9 @@ def total_covmat_diagtheory_experiments(experiments_results_theory, return exp_result_covmats @table -def theory_corrmat(theory_covmat): +def theory_corrmat_singleprocess(theory_covmat_singleprocess): """Calculates the theory correlation matrix for scale variations.""" - df = theory_covmat + df = theory_covmat_singleprocess covmat = df.values diag_minus_half = (np.diagonal(covmat))**(-0.5) mat = diag_minus_half[:,np.newaxis]*df*diag_minus_half @@ -413,21 +423,21 @@ def theory_corrmat(theory_covmat): def theory_blockcorrmat(theory_block_diag_covmat): """Calculates the theory correlation matrix for scale variations with block diagonal entries by dataset only""" - mat = theory_corrmat(theory_block_diag_covmat) + mat = theory_corrmat_singleprocess(theory_block_diag_covmat) return mat @table def theory_corrmat_custom(theory_covmat_custom): """Calculates the theory correlation matrix for scale variations with variations by process type""" - mat = theory_corrmat(theory_covmat_custom) + mat = theory_corrmat_singleprocess(theory_covmat_custom) return mat @table -def theory_normcovmat(theory_covmat, experiments_data): +def theory_normcovmat_singleprocess(theory_covmat_singleprocess, experiments_data): """Calculates the theory covariance matrix for scale variations normalised to data.""" - df = theory_covmat + df = theory_covmat_singleprocess experiments_data_array = np.array(experiments_data) mat = df/np.outer(experiments_data_array, experiments_data_array) return mat @@ -451,10 +461,11 @@ def theory_normcovmat_custom(theory_covmat_custom, experiments_data): return mat @table -def experimentsplustheory_covmat(experiments_covmat_no_table, theory_covmat_no_table): +def experimentsplustheory_covmat_singleprocess(experiments_covmat_no_table, + theory_covmat_singleprocess_no_table): """Calculates the experiment + theory covariance matrix for scale variations.""" - df = experiments_covmat_no_table + theory_covmat_no_table + df = experiments_covmat_no_table + theory_covmat_singleprocess_no_table return df @table @@ -474,11 +485,12 @@ def experimentsplustheory_covmat_custom(experiments_covmat, return df @table -def experimentsplustheory_normcovmat(experiments_covmat, theory_covmat, +def experimentsplustheory_normcovmat_singleprocess(experiments_covmat, + theory_covmat_singleprocess, experiments_data): """Calculates the experiment + theory covariance matrix for scale variations normalised to data.""" - df = experiments_covmat + theory_covmat + df = experiments_covmat + theory_covmat_singleprocess experiments_data_array = np.array(experiments_data) mat = df/np.outer(experiments_data_array, experiments_data_array) return mat @@ -508,11 +520,12 @@ def experimentsplustheory_normcovmat_custom(experiments_covmat, return mat @table -def experimentsplustheory_corrmat(experiments_covmat, theory_covmat): +def experimentsplustheory_corrmat_singleprocess(experiments_covmat, + theory_covmat_singleprocess): """Calculates the correlation matrix for the experimental plus theory covariance matrices.""" - total_df = experiments_covmat + theory_covmat - total_cov = (experiments_covmat + theory_covmat).values + total_df = experiments_covmat + theory_covmat_singleprocess + total_cov = (experiments_covmat + theory_covmat_singleprocess).values diag_minus_half = (np.diagonal(total_cov))**(-0.5) corrmat = diag_minus_half[:,np.newaxis]*total_df*diag_minus_half return corrmat @@ -522,7 +535,7 @@ def experimentsplusblocktheory_corrmat(experiments_covmat, theory_block_diag_covmat): """Calculates the correlation matrix for the experimental plus theory covariance matrices, block diagonal by dataset.""" - corrmat = experimentsplustheory_corrmat(experiments_covmat, + corrmat = experimentsplustheory_corrmat_singleprocess(experiments_covmat, theory_block_diag_covmat) return corrmat @@ -531,11 +544,11 @@ def experimentsplustheory_corrmat_custom(experiments_covmat, theory_covmat_custom): """Calculates the correlation matrix for the experimental plus theory covariance matrices, correlations by prescription.""" - corrmat = experimentsplustheory_corrmat(experiments_covmat, + corrmat = experimentsplustheory_corrmat_singleprocess(experiments_covmat, theory_covmat_custom) return corrmat -def chi2_impact(theory_covmat, experiments_covmat, experiments_results): +def chi2_impact(theory_covmat_singleprocess, experiments_covmat, experiments_results): """Returns total chi2 including theory cov mat""" dataresults, theoryresults = zip(*experiments_results) dat_central_list = [x.central_value for x in dataresults] @@ -543,7 +556,7 @@ def chi2_impact(theory_covmat, experiments_covmat, experiments_results): dat_central = np.concatenate(dat_central_list) th_central = np.concatenate([x for x in th_central_list]) central_diff = dat_central - th_central - cov = theory_covmat.values + experiments_covmat.values + cov = theory_covmat_singleprocess.values + experiments_covmat.values return calc_chi2(la.cholesky(cov, lower=True), central_diff)/len(central_diff) def data_theory_diff(experiments_results): @@ -571,9 +584,9 @@ def chi2_impact_custom(theory_covmat_custom, experiments_covmat, experiments_results) return chi2 -def theory_diagcovmat(theory_covmat): +def theory_diagcovmat(theory_covmat_singleprocess): """Returns theory covmat with only diagonal values""" - s = theory_covmat.values + s = theory_covmat_singleprocess.values # Initialise array of zeros and set precision to same as FK tables s_diag = np.zeros((len(s),len(s)), dtype=np.float32) np.fill_diagonal(s_diag, np.diag(s)) From abef5dc779ba93856c5baa8a72af2fda06db3750 Mon Sep 17 00:00:00 2001 From: wilsonmr Date: Wed, 22 May 2019 16:40:40 +0100 Subject: [PATCH 339/429] add png files to validphys setup for tests --- validphys2/setup.py | 3 ++- validphys2/src/validphys/tests/baseline/__init__.py | 0 2 files changed, 2 insertions(+), 1 deletion(-) create mode 100644 validphys2/src/validphys/tests/baseline/__init__.py diff --git a/validphys2/setup.py b/validphys2/setup.py index 451c5568ea..8a40314e74 100644 --- a/validphys2/setup.py +++ b/validphys2/setup.py @@ -31,9 +31,10 @@ packages = find_packages('src'), package_data = { #TODO: Get rid of this nonsense - '':['*.template', '*.mplstyle', '*.csv', '*.yaml', '*.md'], + '':['*.template', '*.mplstyle', '*.csv', '*.yaml', '*.md', '*.png'], 'tests/regressions': ['*'], 'comparefit': ['*'], + 'tests/baseline': ['*'], }, zip_safe = False, classifiers=[ diff --git a/validphys2/src/validphys/tests/baseline/__init__.py b/validphys2/src/validphys/tests/baseline/__init__.py new file mode 100644 index 0000000000..e69de29bb2 From 7be5073e3eed677b79ceeb59e7e3f084f8b2b009 Mon Sep 17 00:00:00 2001 From: tgiani Date: Fri, 24 May 2019 08:57:47 +0100 Subject: [PATCH 340/429] minor changing to avoid pruction of unused table --- validphys2/src/validphys/theorycovariance/construction.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index c00b490ead..139a06761b 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -137,9 +137,9 @@ def theory_block_diag_covmat(theory_covmat_datasets, experiments_index): return df @table -def theory_diagonal_covmat(theory_block_diag_covmat,experiments_index): +def theory_diagonal_covmat(theory_covmat_singleprocess_no_table,experiments_index): """Returns theory covmat with only diagonal values""" - s = theory_block_diag_covmat.values + s = theory_covmat_singleprocess_no_table.values # Initialise array of zeros and set precision to same as FK tables s_diag = np.zeros((len(s),len(s)), dtype=np.float32) np.fill_diagonal(s_diag, np.diag(s)) From 4aaeb90d395e8dcb337ee681413958415f2f92ff Mon Sep 17 00:00:00 2001 From: tgiani Date: Fri, 24 May 2019 09:06:22 +0100 Subject: [PATCH 341/429] adding docstring and documentation --- doc/validphys2/guide.md | 4 ++++ validphys2/src/validphys/config.py | 5 +++++ 2 files changed, 9 insertions(+) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index 7a98fa61ab..c44ed639b3 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -2102,6 +2102,10 @@ The theory covariance can be used to sample the pseudodata by setting `use_thcovmat_in_sampling: true`, likewise the theory covariance can be included in covariance matrix used in the fit by specifying `use_thcovmat_in_fitting: true`. +The user can choose what kind of theory covariance matrix should be used in the +fit, by setting the flag `thcovmat_type ` to be one among +`full, blockdiagonal, diagonal`. If the flag does not appear in the runcard +the full theory covariance matrix is used by default. Combining all of the above information, if one wanted to run a fit using the theory covariance, calculated using the 9-point prescription, in both the diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index ad47f630e9..a29a92e0a4 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -703,6 +703,11 @@ def produce_all_lumi_channels(self): @configparser.explicit_node def produce_nnfit_theory_covmat(self, use_thcovmat_in_sampling:bool, use_thcovmat_in_fitting:bool, thcovmat_type:str='full'): + """ + Return the theory covariance matrix used in the fit. + By default it is set to be the full one, the user can + set it to be block-diagonal or diagonal + """ valid_type = {'full','blockdiagonal','diagonal'} if thcovmat_type not in valid_type: raise ConfigError(f"Invalid thcovmat_type setting: '{valid_type}'.", From 533c2ada4dbbccd56754b826839d78ace75d06fc Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Fri, 24 May 2019 23:29:24 +0200 Subject: [PATCH 342/429] some basic instructions --- doc/validphys2/guide.md | 158 ++++++++++++++++++++++++++++++++++------ 1 file changed, 137 insertions(+), 21 deletions(-) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index 7a98fa61ab..992f88b2c1 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -3159,34 +3159,121 @@ a string in Pandoc Markdown describing your object. Raw HTML is also allowed (although that decreases the compatibility, e.g. if we decide to output LaTeX instead of HTML in the future). -Python static checks and code style ------------------------------------ +Server configuration +==================== -We use [Pylint](https://www.pylint.org/) to provide static checking (e.g. -finding basic errors that a compiler would catch in compiled languages) such as -uses of unknown variable names, as well as to provide basic guidelines on the -structure of the code (e.g. avoid functions that are too complicated). Because -Pylint is way too pendantic by default, we limit the checks to only those -considered useful. The `.pylintrc` file at the top level configures Pylint to -only mind those checks. Most Python IDEs and editors have some kind of support -for pylint. It is strongly recommended to configure the editor to show the -problematic pieces of code proactively. +Overview +-------- -New code should use the [Black](https://black.readthedocs.io/en/stable/) tool to -format the code. This tool should not be used to aggressively reformat existing -files. +The NNPDF server is a virtual machine (VM) maintained by +the Centro Calcolo at the physics department of the +University of Milan. The machine has 2 CPUs, 4GB of RAM, +1 TB of disk and it is running CentOS7. +The full disk is backed up every week by the Centro Calcolo. +We perform every Sunday a `rsync` from the `/home/nnpdf` folder +to the `nnpdf@lxplus` account at CERN. -Example pull request --------------------- +URLs +---- -You may find instructive to go though this pull request that -implements arc-length computation: +The URLs served by this VM are: - +- [https://data.nnpdf.science](https://data.nnpdf.science): with +nnpdf data such as pdf fits, releases, reports, etc. +- [https://vp.nnpdf.science](https://vp.nnpdf.science): with the +validphys reports. +- [https://wiki.nnpdf.science](https://wiki.nnpdf.science): with +the github wiki version. + +Access +------ + +The access to the server is provided by ssh/vp-upload with the +following restrictions: + +- `ssh` access to `root` is forbidden. +- there is a shared `nnpdf` user with low previleges. In order to login +the user must send his public ssh key (usually in `~/.ssh/id_rsa.pub`) to SC. +The `nnpdf` is not allowed to login with password. + +The `nnpdf` user shares a common `/home/nnpdf` folder +where all NNPDF material is stored. Public access to data is +available for all files in the `/home/nnpdf/WEB` folder. The +validphys reports are stored in `/home/nnpdf/WEB/validphys-reports` +and the wiki in `/home/nnpdf/WEB/wiki`. + +Web server +---------- + +Instead of using `apache` we are using `nginx` as a lightware and simpler web +server engine. The `nginx` initial configuration depends on the linux distribution +in use. Usually debian packages provide a ready-to-go version where +the `/etc/nginx/nginx.conf` is already set to work with server blocks (subdomain). + +Other distributions like CentOS7 requires more gymnastics, here some tricks: + +- make sure the `/home/nnpdf` folder can be accessed by the `nginx` user +- folders served by `nginx` must have permission 755 +- create 2 folders in `/etc/nginx`: `sites-available` and `sites-enabled`. +- in the `/etc/nginx/nginx.conf` file indicate the new include path with `include /etc/nginx/sites-enabled/*;` and remove all location statements. +- for each server block create a new file in `/etc/nginx/sites-available` and build a symbolic link in `/etc/nginx/sites-enabled`. +- remember to perform a `sudo service nginx restart` or `sudo nginx -s reload` to update the server block configuration. + +Finally, here an example of `nginx` configuration for the `vp.nnpdf.science` server block without ssl encryption: +``` +server { + listen 80; + listen [::]:80; + server_name vp.nnpdf.science; + + root /home/nnpdf/WEB/validphys-reports; + location / { + try_files $uri $uri/ =404; + auth_basic "Restricted"; + auth_basic_user_file /home/nnpdf/WEB/validphys-reports/.htpasswd; + } + + location /thumbnails { + alias /home/nnpdf/WEB/thumbnails; + try_files $uri $uri/ =404; + auth_basic "Restricted"; + auth_basic_user_file /home/nnpdf/WEB/validphys-reports/.htpasswd; + } +} +``` + +SSL encryption +-------------- + +SSL encription is provided by [Let's Encrypt](https://letsencrypt.org). +The certificates are created using the `certbot` program with the `nginx` module. + +In order to create new ssl certificates, first prepare the `nginx` server block +configuration file and then run the interactive command: +``` +sudo certbot --nginx -d +``` +This will ask you several questions, including if you would like to automatically +update the `nginx` server block file. We fully recommend this approach. + +The certificate is automatically renewed by a [cron job](#cron-jobs). + +Cron jobs +--------- + +The following cron jobs are registered for the `nnpdf` user: + +- every 4h run the `index-email.py` script. +- at every reboot run `index-reports.py` and `index-fits.py` + +The following cron jobs are registered for the `root` user: + +- perform backup of `/home/nnpdf` in lxplus every Saturday at noon. +- perform a certbot renew every Monday. +- reboot every Sunday at 6am (in order to use new kernels). +- perform system update every day. -It demonstrates how to leverage existing functionality to perform new -computations and then present those as plots and tables. Web Scripts ----------- @@ -3252,6 +3339,35 @@ uploaded report (see the source of the script for more details). It is expected that the server redirects the requests for `vp.nnpdf.science/thumbnails` to this folder. +Python static checks and code style +----------------------------------- + +We use [Pylint](https://www.pylint.org/) to provide static checking (e.g. +finding basic errors that a compiler would catch in compiled languages) such as +uses of unknown variable names, as well as to provide basic guidelines on the +structure of the code (e.g. avoid functions that are too complicated). Because +Pylint is way too pendantic by default, we limit the checks to only those +considered useful. The `.pylintrc` file at the top level configures Pylint to +only mind those checks. Most Python IDEs and editors have some kind of support +for pylint. It is strongly recommended to configure the editor to show the +problematic pieces of code proactively. + +New code should use the [Black](https://black.readthedocs.io/en/stable/) tool to +format the code. This tool should not be used to aggressively reformat existing +files. + + +Example pull request +-------------------- + +You may find instructive to go though this pull request that +implements arc-length computation: + + + +It demonstrates how to leverage existing functionality to perform new +computations and then present those as plots and tables. + Editing this guide ------------------ From 11bb8c13965be264f16da0eed0b1562be547213b Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 28 May 2019 13:54:30 +0100 Subject: [PATCH 343/429] Add info on conda infrastructure --- doc/validphys2/guide.md | 15 ++++++++++++++- 1 file changed, 14 insertions(+), 1 deletion(-) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index 992f88b2c1..5bc84b2533 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -3185,6 +3185,7 @@ nnpdf data such as pdf fits, releases, reports, etc. validphys reports. - [https://wiki.nnpdf.science](https://wiki.nnpdf.science): with the github wiki version. +- : The conda binary packages. Access ------ @@ -3203,6 +3204,12 @@ available for all files in the `/home/nnpdf/WEB` folder. The validphys reports are stored in `/home/nnpdf/WEB/validphys-reports` and the wiki in `/home/nnpdf/WEB/wiki`. +The [`conda` packages](#installing) are automatically uploaded to the server +by the Continous Integration service (Travis), through an user called `dummy` +which has further reduction in privileges (it uses the [`rssh` +shell](https://linux.die.net/man/1/rssh)) and it is only allowed to run the +`scp` command. + Web server ---------- @@ -3265,7 +3272,13 @@ Cron jobs The following cron jobs are registered for the `nnpdf` user: - every 4h run the `index-email.py` script. -- at every reboot run `index-reports.py` and `index-fits.py` +- at every reboot run `index-reports.py`, `index-fits.py`, + `index-packahes-public.sh` and `index-packages-private.sh`, which monitor + contiguously the respective folders and create indexes that can be used by + various applications. The first two are homegrown scripts (see [Web Scripts]) + and the later two use + [`conda-index`](https://docs.conda.io/projects/conda-build/en/latest/resources/commands/conda-index.html). + The following cron jobs are registered for the `root` user: From 16745bc0bf6d9ae74f29e9b9f23522fe8bd64660 Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 28 May 2019 14:11:17 +0100 Subject: [PATCH 344/429] Make minor style changes and add links --- doc/validphys2/guide.md | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index 5bc84b2533..ea22ba898c 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -3179,36 +3179,36 @@ URLs The URLs served by this VM are: -- [https://data.nnpdf.science](https://data.nnpdf.science): with -nnpdf data such as pdf fits, releases, reports, etc. -- [https://vp.nnpdf.science](https://vp.nnpdf.science): with the -validphys reports. -- [https://wiki.nnpdf.science](https://wiki.nnpdf.science): with -the github wiki version. -- : The conda binary packages. + - : contain **public** + NNPDF data such as PDF fits, releases etc. + - : contains the + `validphys` reports. + - : with + the github wiki version. + - : The `conda` binary packages. Access ------ -The access to the server is provided by ssh/vp-upload with the -following restrictions: +The access to the server is provided by +`ssh`/[`vp-upload`](#uploading-the-result) with the following restrictions: - `ssh` access to `root` is forbidden. -- there is a shared `nnpdf` user with low previleges. In order to login +- there is a shared `nnpdf` user with low privileges. In order to login the user must send his public ssh key (usually in `~/.ssh/id_rsa.pub`) to SC. The `nnpdf` is not allowed to login with password. The `nnpdf` user shares a common `/home/nnpdf` folder where all NNPDF material is stored. Public access to data is available for all files in the `/home/nnpdf/WEB` folder. The -validphys reports are stored in `/home/nnpdf/WEB/validphys-reports` +`validphys` reports are stored in `/home/nnpdf/WEB/validphys-reports` and the wiki in `/home/nnpdf/WEB/wiki`. The [`conda` packages](#installing) are automatically uploaded to the server by the Continous Integration service (Travis), through an user called `dummy` which has further reduction in privileges (it uses the [`rssh` shell](https://linux.die.net/man/1/rssh)) and it is only allowed to run the -`scp` command. +`scp` command. The packages are stored in `/home/nnpdf/packages`. Web server ---------- @@ -3271,7 +3271,7 @@ Cron jobs The following cron jobs are registered for the `nnpdf` user: -- every 4h run the `index-email.py` script. +- every day at 4 AM run the `index-email.py` script. - at every reboot run `index-reports.py`, `index-fits.py`, `index-packahes-public.sh` and `index-packages-private.sh`, which monitor contiguously the respective folders and create indexes that can be used by From 4e70fdad19ce79afb521f4f94219b41e3fb217f0 Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 28 May 2019 14:19:09 +0100 Subject: [PATCH 345/429] Arrange the sections so they make (some) sense --- doc/validphys2/guide.md | 62 +++++++++++++++++++++-------------------- 1 file changed, 32 insertions(+), 30 deletions(-) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index ea22ba898c..eaa7a68043 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -3159,6 +3159,37 @@ a string in Pandoc Markdown describing your object. Raw HTML is also allowed (although that decreases the compatibility, e.g. if we decide to output LaTeX instead of HTML in the future). + +Python static checks and code style +----------------------------------- + +We use [Pylint](https://www.pylint.org/) to provide static checking (e.g. +finding basic errors that a compiler would catch in compiled languages) such as +uses of unknown variable names, as well as to provide basic guidelines on the +structure of the code (e.g. avoid functions that are too complicated). Because +Pylint is way too pendantic by default, we limit the checks to only those +considered useful. The `.pylintrc` file at the top level configures Pylint to +only mind those checks. Most Python IDEs and editors have some kind of support +for pylint. It is strongly recommended to configure the editor to show the +problematic pieces of code proactively. + +New code should use the [Black](https://black.readthedocs.io/en/stable/) tool to +format the code. This tool should not be used to aggressively reformat existing +files. + + +Example pull request +-------------------- + +You may find instructive to go though this pull request that +implements arc-length computation: + + + +It demonstrates how to leverage existing functionality to perform new +computations and then present those as plots and tables. + + Server configuration ==================== @@ -3352,37 +3383,8 @@ uploaded report (see the source of the script for more details). It is expected that the server redirects the requests for `vp.nnpdf.science/thumbnails` to this folder. -Python static checks and code style ------------------------------------ - -We use [Pylint](https://www.pylint.org/) to provide static checking (e.g. -finding basic errors that a compiler would catch in compiled languages) such as -uses of unknown variable names, as well as to provide basic guidelines on the -structure of the code (e.g. avoid functions that are too complicated). Because -Pylint is way too pendantic by default, we limit the checks to only those -considered useful. The `.pylintrc` file at the top level configures Pylint to -only mind those checks. Most Python IDEs and editors have some kind of support -for pylint. It is strongly recommended to configure the editor to show the -problematic pieces of code proactively. - -New code should use the [Black](https://black.readthedocs.io/en/stable/) tool to -format the code. This tool should not be used to aggressively reformat existing -files. - - -Example pull request --------------------- - -You may find instructive to go though this pull request that -implements arc-length computation: - - - -It demonstrates how to leverage existing functionality to perform new -computations and then present those as plots and tables. - Editing this guide ------------------- +================== The source of this document can be found in the main NNPDF repository as the file `guide.md`, under From 2033c029337a8b0bdc4f0f5fbd1ce588a276b920 Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 28 May 2019 14:35:05 +0100 Subject: [PATCH 346/429] Add info on DNS --- doc/validphys2/guide.md | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index eaa7a68043..11a2efe787 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -3218,6 +3218,34 @@ The URLs served by this VM are: the github wiki version. - : The `conda` binary packages. +The domain is hosted by [Namecheap](www.namecheap.com), which also manages the +DNS entries. For each subdomain there is an A record always pointing to the same +server IP, currently 159.149.47.24. The subdomains are then handled as described +in [Web server]. For example, a DNS query for `packages.nnpdf.science` returns + +``` + $ dig packages.nnpdf.science + +; <<>> DiG 9.11.3-1ubuntu1.7-Ubuntu <<>> packages.nnpdf.science +;; global options: +cmd +;; Got answer: +;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 26766 +;; flags: qr rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 1 + +;; OPT PSEUDOSECTION: +; EDNS: version: 0, flags:; udp: 65494 +;; QUESTION SECTION: +;packages.nnpdf.science. IN A + +;; ANSWER SECTION: +packages.nnpdf.science. 1799 IN A 159.149.47.24 + +;; Query time: 170 msec +;; SERVER: 127.0.0.53#53(127.0.0.53) +;; WHEN: Tue May 28 14:26:53 BST 2019 +;; MSG SIZE rcvd: 67 +``` + Access ------ From 025d0d841216dc286487304db34074d1c7be44f3 Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Tue, 28 May 2019 15:52:58 +0200 Subject: [PATCH 347/429] adjustments --- doc/validphys2/guide.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index 11a2efe787..ff3f12cc60 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -3272,10 +3272,11 @@ shell](https://linux.die.net/man/1/rssh)) and it is only allowed to run the Web server ---------- -Instead of using `apache` we are using `nginx` as a lightware and simpler web -server engine. The `nginx` initial configuration depends on the linux distribution -in use. Usually debian packages provide a ready-to-go version where -the `/etc/nginx/nginx.conf` is already set to work with server blocks (subdomain). +We are using `nginx` as a lightware and simple web server engine. The +`nginx` initial configuration depends on the linux distribution in +use. Usually debian packages provide a ready-to-go version where the +`/etc/nginx/nginx.conf` is already set to work with server blocks +(subdomains). Other distributions like CentOS7 requires more gymnastics, here some tricks: From 5afd390c2f0adc020dc58f3f8ca6bf2f249f2d6e Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 28 May 2019 15:12:33 +0100 Subject: [PATCH 348/429] Mention storage of the private key in travis --- doc/validphys2/guide.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index ff3f12cc60..0a36e4e986 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -3267,7 +3267,11 @@ The [`conda` packages](#installing) are automatically uploaded to the server by the Continous Integration service (Travis), through an user called `dummy` which has further reduction in privileges (it uses the [`rssh` shell](https://linux.die.net/man/1/rssh)) and it is only allowed to run the -`scp` command. The packages are stored in `/home/nnpdf/packages`. +`scp` command. An accepted private key is stored securely in the [Travis +configuration](https://travis-ci.com/NNPDF/nnpdf) under the `NNPDF_SSH_KEY` +variable. It is encoded using `base64` because Travis does not easily accept +multiline variables. To use it, do something like `echo "$NNPDF_SSH_KEY" | +base64 --decode`. The packages are uploaded to `/home/nnpdf/packages`. Web server ---------- From 33580c70d3c11bf3cb87edafbe3c98c3705633e0 Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 28 May 2019 15:36:00 +0100 Subject: [PATCH 349/429] Mention password protected URLs --- doc/validphys2/guide.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index 0a36e4e986..4b6e084583 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -3291,6 +3291,7 @@ Other distributions like CentOS7 requires more gymnastics, here some tricks: - for each server block create a new file in `/etc/nginx/sites-available` and build a symbolic link in `/etc/nginx/sites-enabled`. - remember to perform a `sudo service nginx restart` or `sudo nginx -s reload` to update the server block configuration. + Finally, here an example of `nginx` configuration for the `vp.nnpdf.science` server block without ssl encryption: ``` server { @@ -3314,6 +3315,13 @@ server { } ``` +Some URLs are password protected using the HTTP `basic_auth` mechanism. This is +implemented by setting the corresponding configuration in nginx, as shown above +(specifically with the `auth_basic` and `auth_basic_user_file` keys). The +`.htpasswd` files mentioned in the configuration are generated with the +`htpasswd` tool. + + SSL encryption -------------- From ba660b3046758c7b66f2753dcc95fd500b90e770 Mon Sep 17 00:00:00 2001 From: Zahari Date: Fri, 31 May 2019 10:38:22 +0100 Subject: [PATCH 350/429] Describe options in the docs and format code --- validphys2/src/validphys/config.py | 53 +++++++++++++++++++++--------- 1 file changed, 38 insertions(+), 15 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index a29a92e0a4..bda20d8915 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -701,34 +701,57 @@ def produce_all_lumi_channels(self): return {'lumi_channels': self.parse_lumi_channels(list(LUMI_CHANNELS))} @configparser.explicit_node - def produce_nnfit_theory_covmat(self, use_thcovmat_in_sampling:bool, use_thcovmat_in_fitting:bool, - thcovmat_type:str='full'): + def produce_nnfit_theory_covmat( + self, + use_thcovmat_in_sampling: bool, + use_thcovmat_in_fitting: bool, + thcovmat_type: str = "full", + ): """ Return the theory covariance matrix used in the fit. By default it is set to be the full one, the user can - set it to be block-diagonal or diagonal + set it to be block-diagonal or diagonal, based on the + value of ``thcovmat_type``. The possible options are: + + ``thcovmat_type = "full"`` (default): + Include all correlations. The covarance matrix is + computed using ``theory_covmat_custom``. + + ``thcovmat_type = "diagonal"``: + Only diagonal entries are computes included. The + covariance matrix is computed using + ``theory_diagonal_covmat``. + + ``thcovmat_type = "blockdiagonal"``: + Only correlations by process type are included. + The covariance matrix is computed using + ``theory_block_diag_covmat``. """ - valid_type = {'full','blockdiagonal','diagonal'} + valid_type = {"full", "blockdiagonal", "diagonal"} if thcovmat_type not in valid_type: - raise ConfigError(f"Invalid thcovmat_type setting: '{valid_type}'.", - thcovmat_type, valid_type) + raise ConfigError( + f"Invalid thcovmat_type setting: '{valid_type}'.", + thcovmat_type, + valid_type, + ) from validphys.theorycovariance.construction import theory_covmat_custom from validphys.theorycovariance.construction import theory_diagonal_covmat from validphys.theorycovariance.construction import theory_block_diag_covmat - if thcovmat_type == 'full': - f = theory_covmat_custom - if thcovmat_type == 'diagonal': - f = theory_diagonal_covmat - if thcovmat_type == 'blockdiagonal': - f = theory_block_diag_covmat - + if thcovmat_type == "full": + f = theory_covmat_custom + if thcovmat_type == "diagonal": + f = theory_diagonal_covmat + if thcovmat_type == "blockdiagonal": + f = theory_block_diag_covmat + @functools.wraps(f) def res(*args, **kwargs): return f(*args, **kwargs) - #Set this to get the same filename regardless of the action. - res.__name__ = 'theory_covmat' + + # Set this to get the same filename regardless of the action. + res.__name__ = "theory_covmat" return res def produce_fitthcovmat( From aadae6bac581e47d03f63eaa8e61f2038b8d9c3a Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 14 May 2019 17:35:00 +0100 Subject: [PATCH 351/429] updating plot labels in line with PRL --- validphys2/src/validphys/theorycovariance/tests.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 67df0f4d70..39dce500ea 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -617,9 +617,10 @@ def projector_eigenvalue_ratio(theory_shift_test): return fig @figure -def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): +def shift_diag_cov_comparison(allthx_vector, shx_vector, thx_covmat, thx_vector): """Produces a plot of a comparison between the NNLO-NLO shift and the envelope given by the diagonal elements of the theory covariance matrix.""" + l = len(allthx_vector[0]) matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) fnorm = -shx_vector[0] indexlist = list(matrix.index.values) @@ -649,7 +650,7 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): fnorm = fnorm.reindex(newindex) # Plotting fig, ax = plt.subplots(figsize=(20,10)) - ax.plot(sqrtdiags*100, '.-', label="Theory", color = "red") + ax.plot(sqrtdiags*100, '.-', label=f"MHOU ({l} pt)", color = "red") ax.plot(-sqrtdiags*100, '.-', color = "red") ax.plot(fnorm.values*100, '.-', label="NNLO-NLO Shift", color = "black") ticklocs, ticklabels, startlocs = matrix_plot_labels(matrix) @@ -658,7 +659,8 @@ def shift_diag_cov_comparison(shx_vector, thx_covmat, thx_vector): startlocs_lines = [x-0.5 for x in startlocs] ax.vlines(startlocs_lines, -70, 70, linestyles='dashed') ax.margins(x=0, y=0) - ax.set_ylabel("% of central theory", fontsize=20) + ax.set_ylabel(r"% wrt central theory T_i^{(0)}", fontsize=20) + ax.set_ylim(-35, 35) ax.legend(fontsize=20) ax.yaxis.set_tick_params(labelsize=20) return fig From 293f464fd203565a1c361c37908ffe9f36255176 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 14 May 2019 17:57:49 +0100 Subject: [PATCH 352/429] fix plotlabel --- validphys2/src/validphys/theorycovariance/tests.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 39dce500ea..08aee51a58 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -620,7 +620,7 @@ def projector_eigenvalue_ratio(theory_shift_test): def shift_diag_cov_comparison(allthx_vector, shx_vector, thx_covmat, thx_vector): """Produces a plot of a comparison between the NNLO-NLO shift and the envelope given by the diagonal elements of the theory covariance matrix.""" - l = len(allthx_vector[0]) + l = len(allthx_vector[0]) + 1 matrix = thx_covmat[0]/(np.outer(thx_vector[0], thx_vector[0])) fnorm = -shx_vector[0] indexlist = list(matrix.index.values) @@ -659,7 +659,7 @@ def shift_diag_cov_comparison(allthx_vector, shx_vector, thx_covmat, thx_vector) startlocs_lines = [x-0.5 for x in startlocs] ax.vlines(startlocs_lines, -70, 70, linestyles='dashed') ax.margins(x=0, y=0) - ax.set_ylabel(r"% wrt central theory T_i^{(0)}", fontsize=20) + ax.set_ylabel(r"% wrt central theory $T_i^{(0)}$", fontsize=20) ax.set_ylim(-35, 35) ax.legend(fontsize=20) ax.yaxis.set_tick_params(labelsize=20) From 6c1457a8d6246eb158ad577845cd769069133994 Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 9 Apr 2019 15:04:40 +0100 Subject: [PATCH 353/429] Add proof of concept of image comparison tests --- .../validphys/tests/baseline/test_plotpdfs.png | 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z);v|wk(rO#r9HL`jEt|@VufvKzPvLN&G~(qjJY^h_wK;%KA+DIy#D+3q%HR}UL*{~ zE-o(hx0f_hq(Z6`$#7T(hQf26|Gf;?|9jeXcrkJbBq=nJE`&mR^mB(l7d zc7pMr|9}*YJz`AJV zhz$2-=jo{_Gc&VuI73`Hd)BM!V!<}QJ1PJDI{f0(^-S5vy?R&G)d$X9oBE4PV7D`F zT#Z_)&@+3xU{UJKEiE0Kot^(MFsheHYW(*rxa?PgU(fi=ZYun#?Bv`^d@s3llK94U znwlEl^yxQlz_+_1JN{pPsQQzWifVk!mR*5^gF|o!o%704_RrSVhF`xD%gae4&8erc zIX+15r7GA)w~4C29`WG!d+TXc_4JZ`SP$Jm?OugR`VA|q#vea+U`*?tu3JYnuDySU zikn+5ueqI_3Yzs@6=z436iqIt^bJx`9rI!@wY6lTrkcBh@PKsl=FJnXb15U2si?kD z;SQZ4vtu3cnVD+Y+Dd2HGFA_cLGL zR(2*_L;P+mNW`%y+KZ6&P&*N(CdC=V+c)VX?Y^XeUH_7Q16A`EJ`E}=W#e>Bojg}f zM7KXs#^f;Bf3e}mk1|{KFliUHCufRg9#c{I?B9bKrh3}7O_=!p|7-sL&(~V%v5tXs Uf3UPLiug>@S*0^ca{BlG7cp19UjP6A literal 0 HcmV?d00001 diff --git a/validphys2/src/validphys/tests/test_pdfplots.py b/validphys2/src/validphys/tests/test_pdfplots.py new file mode 100644 index 0000000000..323d31f589 --- /dev/null +++ b/validphys2/src/validphys/tests/test_pdfplots.py @@ -0,0 +1,15 @@ +import matplotlib +#This is to fix a weird bug in LHAPDF +matplotlib.use('agg') + +import pytest + +from validphys.app import API + +@pytest.mark.mpl_image_compare +def test_plotpdfs(): + pdfs = ['NNPDF31_nnlo_as_0118'] + Q = 10 + flavours = ['g'] + #plot_pdfs returns a generator with (figure, name_hint) + return next(API.plot_pdfs(pdfs=pdfs, Q=Q, flavours=flavours))[0] From a47451c168bdcabc9f0fc6ac992fe28f77ccc2e2 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 22 May 2019 09:26:20 +0100 Subject: [PATCH 354/429] changed import of API from app to api in plot pdfs test --- conda-recipe/meta.yaml | 1 + validphys2/src/validphys/tests/test_pdfplots.py | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/conda-recipe/meta.yaml b/conda-recipe/meta.yaml index 5734fc010f..935a993d78 100644 --- a/conda-recipe/meta.yaml +++ b/conda-recipe/meta.yaml @@ -44,6 +44,7 @@ test: - hypothesis - pytest - coverage + - pytest-mpl #Build dependencies for catch tests - {{ compiler("cxx") }} - {{ compiler("c") }} diff --git a/validphys2/src/validphys/tests/test_pdfplots.py b/validphys2/src/validphys/tests/test_pdfplots.py index 323d31f589..d4ae80d09b 100644 --- a/validphys2/src/validphys/tests/test_pdfplots.py +++ b/validphys2/src/validphys/tests/test_pdfplots.py @@ -4,7 +4,7 @@ import pytest -from validphys.app import API +from validphys.api import API @pytest.mark.mpl_image_compare def test_plotpdfs(): From 7d65e1a9cfaf816e932671512f2766f44873ab53 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Wed, 22 May 2019 12:07:41 +0100 Subject: [PATCH 355/429] added image comparison test for plot_dataspecs_datasets_chi2 --- conda-recipe/run_test.sh | 2 +- .../tests/baseline/test_dataspecschi2.png | Bin 0 -> 23276 bytes .../src/validphys/tests/test_pdfplots.py | 20 ++++++++++++++++++ 3 files changed, 21 insertions(+), 1 deletion(-) create mode 100644 validphys2/src/validphys/tests/baseline/test_dataspecschi2.png diff --git a/conda-recipe/run_test.sh b/conda-recipe/run_test.sh index 384765db28..0114695e32 100644 --- a/conda-recipe/run_test.sh +++ b/conda-recipe/run_test.sh @@ -4,7 +4,7 @@ set -v set -e #Python tests for the installed validphys package -pytest --pyargs validphys +pytest --pyargs --mpl validphys mkdir bldtest cd bldtest diff --git a/validphys2/src/validphys/tests/baseline/test_dataspecschi2.png b/validphys2/src/validphys/tests/baseline/test_dataspecschi2.png new file mode 100644 index 0000000000000000000000000000000000000000..a1b42a96eadcff334cb7e9c1542ae553acd4ce98 GIT binary patch literal 23276 zcmeIac{J8--!6VhrS6KPQicdoDMFc}K_XKlLXkULGG&~oBy%c_<57m@RxarobI+aro+SK*J#Dnl=PzuH>iye);oaEW};#L32* z;vXgKj%nJRu`;&1cFD$wVsXjN+T6;{+*F^_!N|te)XI`mL|~tQ$R5tic6Qd1f`b44 z3j$U)CV~-b-n^htI4O#9htE2O_cuGg*RYS6qSmhL*#A{=qfisuu80(tglN@2{9De<+Gzrvn?U~DBGq&>Fv*#HLgwb;kv<9 zvbeZ-u`bWS<7S&ls+ez~{eaSWvw^gh)*Z})e64A@Z(g5%b#~cDXHnY41k zxon=|`I)iQ!fnomb#E_O&AFx;mzBhyPaRE-TG&$>w6}Bxv(Cx9!Ov?1mHoq=2QxG0 zM@v&1Ewhd0r$=VO@@B&3Co}TOnAD{GjxrqFKhnh7sl7JOO9J~&lI}P7tWXF%`06W|Km5(UT6}0!J+uat25Ox 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zAgcs=S0>}7Ohm+~%J1mt7{=Hw#bstxy_TJx4w?}vybXc{!l*n5R$yQt7&hx;bvZdn z)};ja<}H|81SN_LU153of~l2gScOz4M3-&u?om)*+;F!aPO`C3`dGQ9k z`nf+oXtkzg25Or|{#`GxcRSeScH$by`Z%K5hVbBH&(mWvB<`O8abp!X8#XbvbTh3S9FKkoI7*oDC9g$ck1fuCLi!3 zVu+USClLSq`7#e&d+y?_8KMTWoBoD0Z%~CtQBhXbNAMBmOYd|Hb06S(z#k6swNp@# zjGEuQ+Yez3@({8X)&h{5&w`Wp0he_45ME)&2n!W!n3xsG4@eKd|A#TM08N-*oXRtS zh>NM}2theZFcytUa@XIl!{C(6MZmD(Vf;j%Uvc*A}-~rpgs#L>kLo;v_dh`+Pxk=XXg0_rXZBLz8@ z1B-bMo^a*p>^wI7g&|cx|F8Llg>_50 Date: Wed, 22 May 2019 16:40:40 +0100 Subject: [PATCH 356/429] add png files to validphys setup for tests --- validphys2/setup.py | 3 ++- validphys2/src/validphys/tests/baseline/__init__.py | 0 2 files changed, 2 insertions(+), 1 deletion(-) create mode 100644 validphys2/src/validphys/tests/baseline/__init__.py diff --git a/validphys2/setup.py b/validphys2/setup.py index 451c5568ea..8a40314e74 100644 --- a/validphys2/setup.py +++ b/validphys2/setup.py @@ -31,9 +31,10 @@ packages = find_packages('src'), package_data = { #TODO: Get rid of this nonsense - '':['*.template', '*.mplstyle', '*.csv', '*.yaml', '*.md'], + '':['*.template', '*.mplstyle', '*.csv', '*.yaml', '*.md', '*.png'], 'tests/regressions': ['*'], 'comparefit': ['*'], + 'tests/baseline': ['*'], }, zip_safe = False, classifiers=[ diff --git a/validphys2/src/validphys/tests/baseline/__init__.py b/validphys2/src/validphys/tests/baseline/__init__.py new file mode 100644 index 0000000000..e69de29bb2 From 968b619a2481cd56e2376218af8b97d387828d68 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 15 May 2019 17:02:41 +0100 Subject: [PATCH 357/429] Adding eigenvector plot --- .../src/validphys/theorycovariance/tests.py | 41 +++++++++++++++++++ 1 file changed, 41 insertions(+) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 08aee51a58..b8d867c461 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -11,6 +11,7 @@ import numpy as np import scipy.linalg as la import matplotlib.pyplot as plt +from matplotlib.ticker import MaxNLocator import pandas as pd from reportengine.checks import make_argcheck @@ -616,6 +617,46 @@ def projector_eigenvalue_ratio(theory_shift_test): print(f"Subspace dimension = {len(evals)}") return fig +@figure +def eigenvector_plot(evals_nonzero_basis, shx_vector): + """Produces a plot of the eigenvectors for the + projected matrix, transformed back to the data space.""" + evals = evals_nonzero_basis[0][::-1] + evecs = evals_nonzero_basis[1].T[::-1] + f = shx_vector[0] + indexlist = list(f.index.values) + # adding process index for plotting, and reindexing matrices and vectors + dsnames = [] + processnames= [] + ids = [] + for index in indexlist: + name = index[0] + i = index[1] + dsnames.append(name) + ids.append(i) + proc = process_lookup(name) + processnames.append(proc) + tripleindex = pd.MultiIndex.from_arrays([processnames, dsnames, ids], + names = ("process", "dataset", "id")) + fig, axes = plt.subplots(nrows=len(evecs), figsize=(10, 2*len(evecs))) + fig.subplots_adjust(hspace=0.8) + fig.title('Non-zero Eigenvectors') + for ax, evec, eval in zip(axes.flatten(), evecs, evals): + evec = pd.DataFrame(evec, index=tripleindex) + evec.sort_index(0, inplace=True) + oldindex = evec.index.tolist() + newindex = sorted(oldindex, key=_get_key) + evec = evec.reindex(newindex) + ax.plot(evec.values) + ax.text(5, evec.max()/2, f'eigenvalue = {eval}') + ticklocs, ticklabels, startlocs = matrix_plot_labels(evec) + # Shift startlocs elements 0.5 to left so lines are between indexes + startlocs_lines = [x-0.5 for x in startlocs] + ax.vlines(startlocs_lines, evec.min(), evec.max(), linestyles='dashed') + ax.margins(x=0, y=0) + ax.xticks(ticklocs, ticklabels, rotation=45, fontsize=10) + return fig + @figure def shift_diag_cov_comparison(allthx_vector, shx_vector, thx_covmat, thx_vector): """Produces a plot of a comparison between the NNLO-NLO shift and the From 8f8905b32fa1ba66a96775e397f5106db8711965 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 15 May 2019 17:21:04 +0100 Subject: [PATCH 358/429] fixing title --- validphys2/src/validphys/theorycovariance/tests.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index b8d867c461..2ed95895e8 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -640,7 +640,7 @@ def eigenvector_plot(evals_nonzero_basis, shx_vector): names = ("process", "dataset", "id")) fig, axes = plt.subplots(nrows=len(evecs), figsize=(10, 2*len(evecs))) fig.subplots_adjust(hspace=0.8) - fig.title('Non-zero Eigenvectors') + fig.suptitle('Non-zero Eigenvectors') for ax, evec, eval in zip(axes.flatten(), evecs, evals): evec = pd.DataFrame(evec, index=tripleindex) evec.sort_index(0, inplace=True) From d25e8a161421c335e95fb70b8aa176f1568a760c Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 15 May 2019 17:40:18 +0100 Subject: [PATCH 359/429] fixing xticks --- validphys2/src/validphys/theorycovariance/tests.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 2ed95895e8..f21d79605e 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -654,7 +654,7 @@ def eigenvector_plot(evals_nonzero_basis, shx_vector): startlocs_lines = [x-0.5 for x in startlocs] ax.vlines(startlocs_lines, evec.min(), evec.max(), linestyles='dashed') ax.margins(x=0, y=0) - ax.xticks(ticklocs, ticklabels, rotation=45, fontsize=10) + fig.xticks(ticklocs, ticklabels, rotation=45, fontsize=10) return fig @figure From d87a1da583de50de27a4ef6ea2f6887487090899 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Thu, 16 May 2019 10:28:37 +0100 Subject: [PATCH 360/429] fix bug in axes label --- validphys2/src/validphys/theorycovariance/tests.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index f21d79605e..6cc66b3f88 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -654,7 +654,7 @@ def eigenvector_plot(evals_nonzero_basis, shx_vector): startlocs_lines = [x-0.5 for x in startlocs] ax.vlines(startlocs_lines, evec.min(), evec.max(), linestyles='dashed') ax.margins(x=0, y=0) - fig.xticks(ticklocs, ticklabels, rotation=45, fontsize=10) + plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=10) return fig @figure From d578d6085c914d105bf7e6ea28b6a46fb03624f7 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Fri, 17 May 2019 13:54:45 +0100 Subject: [PATCH 361/429] adding shift vector to evec plots --- .../src/validphys/theorycovariance/tests.py | 26 ++++++++++++------- 1 file changed, 17 insertions(+), 9 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index 6cc66b3f88..a73ded31b5 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -11,7 +11,7 @@ import numpy as np import scipy.linalg as la import matplotlib.pyplot as plt -from matplotlib.ticker import MaxNLocator +import matplotlib.patches as mpatches import pandas as pd from reportengine.checks import make_argcheck @@ -638,23 +638,31 @@ def eigenvector_plot(evals_nonzero_basis, shx_vector): processnames.append(proc) tripleindex = pd.MultiIndex.from_arrays([processnames, dsnames, ids], names = ("process", "dataset", "id")) + f = pd.DataFrame(f.values, index=tripleindex) + f.sort_index(0, inplace=True) + oldindex = f.index.tolist() + newindex = sorted(oldindex, key=_get_key) + f = f.reindex(newindex) fig, axes = plt.subplots(nrows=len(evecs), figsize=(10, 2*len(evecs))) fig.subplots_adjust(hspace=0.8) - fig.suptitle('Non-zero Eigenvectors') for ax, evec, eval in zip(axes.flatten(), evecs, evals): evec = pd.DataFrame(evec, index=tripleindex) - evec.sort_index(0, inplace=True) - oldindex = evec.index.tolist() - newindex = sorted(oldindex, key=_get_key) evec = evec.reindex(newindex) - ax.plot(evec.values) - ax.text(5, evec.max()/2, f'eigenvalue = {eval}') + ax.plot(-f.values, color="k", label="NNLO-NLO shift") + ax.plot(evec.values, label="Eigenvector") ticklocs, ticklabels, startlocs = matrix_plot_labels(evec) # Shift startlocs elements 0.5 to left so lines are between indexes startlocs_lines = [x-0.5 for x in startlocs] - ax.vlines(startlocs_lines, evec.min(), evec.max(), linestyles='dashed') + ax.vlines(startlocs_lines, ax.get_ylim()[0], + ax.get_ylim()[1], linestyles='dashed') ax.margins(x=0, y=0) - plt.xticks(ticklocs, ticklabels, rotation=45, fontsize=10) + # Adding eigenvalue to legend + extraString = f'Eigenvalue = {eval}' + handles, labels = ax.get_legend_handles_labels() + handles.append(mpatches.Patch(color='none', label=extraString)) + ax.legend(handles=handles) + ax.set_xticks(ticklocs) + ax.set_xticklabels(ticklabels, rotation=45, fontsize=10) return fig @figure From f95a4ced2199090629267e3196f7c34d5c6206e1 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Wed, 22 May 2019 12:00:12 +0100 Subject: [PATCH 362/429] using floatformatting to improve sig figs on evector plot --- validphys2/src/validphys/theorycovariance/tests.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index a73ded31b5..ea7e0cd376 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -18,6 +18,7 @@ from reportengine.figure import figure from reportengine.table import table from reportengine import collect +from reportengine import floatformatting from validphys.checks import check_two_dataspecs @@ -646,6 +647,7 @@ def eigenvector_plot(evals_nonzero_basis, shx_vector): fig, axes = plt.subplots(nrows=len(evecs), figsize=(10, 2*len(evecs))) fig.subplots_adjust(hspace=0.8) for ax, evec, eval in zip(axes.flatten(), evecs, evals): + eval_3sf = floatformatting.significant_digits(eval.item(), 3) evec = pd.DataFrame(evec, index=tripleindex) evec = evec.reindex(newindex) ax.plot(-f.values, color="k", label="NNLO-NLO shift") @@ -657,7 +659,7 @@ def eigenvector_plot(evals_nonzero_basis, shx_vector): ax.get_ylim()[1], linestyles='dashed') ax.margins(x=0, y=0) # Adding eigenvalue to legend - extraString = f'Eigenvalue = {eval}' + extraString = f'Eigenvalue = {eval_3sf}' handles, labels = ax.get_legend_handles_labels() handles.append(mpatches.Patch(color='none', label=extraString)) ax.legend(handles=handles) From 4ce1b006b504b8fc809485c8e5ecb48c127c3878 Mon Sep 17 00:00:00 2001 From: RosalynLP Date: Tue, 21 May 2019 12:59:53 +0100 Subject: [PATCH 363/429] enforcing dataset order --- validphys2/src/validphys/config.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index 6156c59fc2..c4c0e7669f 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -524,7 +524,7 @@ def produce_matched_datasets_from_dataspecs(self, dataspecs): }, spec) inner_spec_list.append(d) res.append(inres) - res.sort(key=lambda x: (x['process'], x['experiment_name'])) + res.sort(key=lambda x: (x['process'], x['experiment_name'], x['dataset_name'])) return res def produce_matched_positivity_from_dataspecs(self, dataspecs): From 51964c81f5706da58fcc133be7697db5115a2e5e Mon Sep 17 00:00:00 2001 From: RosalynLP <33020850+RosalynLP@users.noreply.github.com> Date: Wed, 22 May 2019 10:41:24 +0100 Subject: [PATCH 364/429] document production rule --- validphys2/src/validphys/config.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index c4c0e7669f..cef89c0673 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -483,19 +483,20 @@ def produce_matched_datasets_from_dataspecs(self, dataspecs): """Take an arbitrary list of mappings called dataspecs and return a new list of mappings called dataspecs constructed as follows. - From each of the original datasepcs, resolve the key `experiments` and - all the dataset therein. + From each of the original datasepcs, resolve the key `process`, and + all the experiments and datasets therein. Compute the intersection of the dataset names, and for each element in the intersection construct a mapping with the follwing keys: - + + - process : A string with the common process name. - experiment_name : A string with the common experiment name. - dataset_name : A string with the common dataset name. - - datasepcs : A list of mappinngs matching the original - "datasepcs". Each mapping contains: + - dataspecs : A list of mappinngs matching the original + "dataspecs". Each mapping contains: * dataset: A dataset with the name data_set name and the properties (cuts, theory, etc) corresponding to the original - datasepec. + dataspec. * dataset_input: The input line used to build dataset. * All the other keys in the original dataspec. """ From 2832be146f3502538cdf0399c49dac9ca0e89d07 Mon Sep 17 00:00:00 2001 From: Zahari Date: Fri, 24 May 2019 23:40:06 +0100 Subject: [PATCH 365/429] Use NNPDF servers to upload packages --- .ciscripts/build-deploy-linux.sh | 6 +++--- .ciscripts/build-deploy-osx.sh | 6 +++--- .travis.yml | 4 ++-- docker/dockerfile | 3 +-- 4 files changed, 9 insertions(+), 10 deletions(-) diff --git a/.ciscripts/build-deploy-linux.sh b/.ciscripts/build-deploy-linux.sh index 1d84aea920..a0f77e4254 100755 --- a/.ciscripts/build-deploy-linux.sh +++ b/.ciscripts/build-deploy-linux.sh @@ -27,14 +27,14 @@ fi #This seems to be needed for "artifacts" to work. cp /root/miniconda3/conda-bld/linux-64/*.tar.bz2 . -echo "Uploading package to zigzah" +echo "Uploading package to the NNPDF server" KEY=$( mktemp ) #This is defined in the Travis environment variables. -echo "$ZIGZAH_SSH_KEY" | base64 --decode > "$KEY" +echo "$NNPDF_SSH_KEY" | base64 --decode > "$KEY" scp -i "$KEY" -o StrictHostKeyChecking=no\ /root/miniconda3/conda-bld/linux-64/*.tar.bz2 \ - dummy@zigzah.com:~/conda-pkgs-private/linux-64 + dummy@packages.nnpdf.science:~/packages/conda-private/linux-64 if [ $? == 0 ]; then echo "Upload suceeded" diff --git a/.ciscripts/build-deploy-osx.sh b/.ciscripts/build-deploy-osx.sh index a6a8e41da0..8aac55d8c8 100755 --- a/.ciscripts/build-deploy-osx.sh +++ b/.ciscripts/build-deploy-osx.sh @@ -19,15 +19,15 @@ set the UPLOAD_NON_MASTER variable." exit 0 fi -echo "Uploading package to zigzah" +echo "Uploading package to the NNPDF server" #Idiotic mac mktemp KEY=$( mktemp "${TMPDIR:-/tmp}/key.XXXXXXXXX" ) #This is defined in the Gitlab variables, under the Settings Menu. -echo "$ZIGZAH_SSH_KEY" | base64 --decode > "$KEY" +echo "$NNPDF_SSH_KEY" | base64 --decode > "$KEY" scp -i "$KEY" -o StrictHostKeyChecking=no\ ${CONDAPATH}/conda-bld/${OUTPUT_ARCH}/*.tar.bz2 \ - dummy@zigzah.com:~/${OUTPUT_CHANNEL}/${OUTPUT_ARCH} + dummy@packages.nnpdf.science:~/packages/${OUTPUT_CHANNEL}/${OUTPUT_ARCH} if [ $? == 0 ]; then echo "Upload suceeded" diff --git a/.travis.yml b/.travis.yml index 9935eca049..8dcbeb835a 100644 --- a/.travis.yml +++ b/.travis.yml @@ -15,7 +15,7 @@ env: global: - CONDAPATH="/Users/travis/miniconda3" - OUTPUT_ARCH=osx-64 - - OUTPUT_CHANNEL=conda-pkgs-private + - OUTPUT_CHANNEL=conda-private - UPLOAD_NON_MASTER="false" matrix: @@ -58,7 +58,7 @@ before_install: fi - > if [[ "$TRAVIS_OS_NAME" == "linux" ]]; - then docker exec build bash -c "echo ZIGZAH_SSH_KEY=$ZIGZAH_SSH_KEY >> /root/.bashrc" ; + then docker exec build bash -c "echo NNPDF_SSH_KEY=$NNPDF_SSH_KEY >> /root/.bashrc" ; fi - > if [[ "$TRAVIS_OS_NAME" == "linux" ]]; diff --git a/docker/dockerfile b/docker/dockerfile index eede340727..edd12acce0 100644 --- a/docker/dockerfile +++ b/docker/dockerfile @@ -33,8 +33,7 @@ RUN wget "$CONDA_URL" && \ ENV PATH /root/miniconda3/bin:$PATH RUN conda config --append channels conda-forge && \ - conda config --prepend channels https://zigzah.com/static/conda-pkgs/ && \ - conda config --prepend channels https://zigzah.com/static/conda-pkgs-private/ && \ + conda config --prepend channels https://packages.nnpdf.science/conda/ && \ conda config --set show_channel_urls true && \ conda install conda-build --yes From 8f2287526caddb99bcb5add59b2b53380cb94e14 Mon Sep 17 00:00:00 2001 From: Cameron Voisey Date: Fri, 31 May 2019 12:19:16 +0100 Subject: [PATCH 366/429] Fix dataspecs typo --- validphys2/src/validphys/config.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validphys2/src/validphys/config.py b/validphys2/src/validphys/config.py index cef89c0673..a1c1b7a9f0 100644 --- a/validphys2/src/validphys/config.py +++ b/validphys2/src/validphys/config.py @@ -483,7 +483,7 @@ def produce_matched_datasets_from_dataspecs(self, dataspecs): """Take an arbitrary list of mappings called dataspecs and return a new list of mappings called dataspecs constructed as follows. - From each of the original datasepcs, resolve the key `process`, and + From each of the original dataspecs, resolve the key `process`, and all the experiments and datasets therein. Compute the intersection of the dataset names, and for each element in From a2447c077be7c62c3c61e4cfbf8eb649b123c973 Mon Sep 17 00:00:00 2001 From: Zahari Date: Fri, 31 May 2019 15:08:37 +0100 Subject: [PATCH 367/429] Fix channels in travis --- .travis.yml | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/.travis.yml b/.travis.yml index 8dcbeb835a..7c1558fcdf 100644 --- a/.travis.yml +++ b/.travis.yml @@ -84,14 +84,16 @@ install: - > if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then MINICONDA_URL="https://repo.continuum.io/miniconda"; + + echo "$NETRC_FILE" | base64 --decode > ~/.netrc; MINICONDA_FILE="Miniconda3-latest-MacOSX-x86_64.sh"; curl -L -O "${MINICONDA_URL}/${MINICONDA_FILE}"; bash $MINICONDA_FILE -b; conda update --yes conda; source /Users/travis/miniconda3/bin/activate root; conda config --append channels conda-forge; - conda config --add channels https://zigzah.com/static/conda-pkgs/; - conda config --add channels https://zigzah.com/static/conda-pkgs-private/; + conda config --add channels https://packages.nnpdf.science/conda; + conda config --add channels https://packages.nnpdf.science/conda-private; conda config --set show_channel_urls true; conda install --yes conda-build; fi From b8accf107839860b5111c021c80ff2bb4898df7c Mon Sep 17 00:00:00 2001 From: Stefano Carrazza Date: Mon, 3 Jun 2019 15:18:15 +0200 Subject: [PATCH 368/429] Update guide.md --- doc/validphys2/guide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index 4b6e084583..229d6b1d14 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -3276,7 +3276,7 @@ base64 --decode`. The packages are uploaded to `/home/nnpdf/packages`. Web server ---------- -We are using `nginx` as a lightware and simple web server engine. The +We are using `nginx` as a lightweight and simple web server engine. The `nginx` initial configuration depends on the linux distribution in use. Usually debian packages provide a ready-to-go version where the `/etc/nginx/nginx.conf` is already set to work with server blocks From 7065d29ed1c83c5ee7041977d27255909ffc1b61 Mon Sep 17 00:00:00 2001 From: tgiani Date: Tue, 4 Jun 2019 09:19:36 +0100 Subject: [PATCH 369/429] fixing formatting errors --- .../src/validphys/theorycovariance/construction.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/construction.py b/validphys2/src/validphys/theorycovariance/construction.py index 139a06761b..6af0905046 100644 --- a/validphys2/src/validphys/theorycovariance/construction.py +++ b/validphys2/src/validphys/theorycovariance/construction.py @@ -75,7 +75,8 @@ def theory_covmat_singleprocess_no_table(theoryids_experiments_central_values_no @table @check_correct_theory_combination -def theory_covmat_singleprocess(theory_covmat_singleprocess_no_table, fivetheories:(str, type(None)) = None): +def theory_covmat_singleprocess(theory_covmat_singleprocess_no_table, + fivetheories:(str, type(None)) = None): """Duplicate of theory_covmat_singleprocess_no_table but with a table decorator.""" return theory_covmat_singleprocess_no_table @@ -461,7 +462,7 @@ def theory_normcovmat_custom(theory_covmat_custom, experiments_data): return mat @table -def experimentsplustheory_covmat_singleprocess(experiments_covmat_no_table, +def experimentsplustheory_covmat_singleprocess(experiments_covmat_no_table, theory_covmat_singleprocess_no_table): """Calculates the experiment + theory covariance matrix for scale variations.""" @@ -485,7 +486,7 @@ def experimentsplustheory_covmat_custom(experiments_covmat, return df @table -def experimentsplustheory_normcovmat_singleprocess(experiments_covmat, +def experimentsplustheory_normcovmat_singleprocess(experiments_covmat, theory_covmat_singleprocess, experiments_data): """Calculates the experiment + theory covariance matrix for scale @@ -520,7 +521,7 @@ def experimentsplustheory_normcovmat_custom(experiments_covmat, return mat @table -def experimentsplustheory_corrmat_singleprocess(experiments_covmat, +def experimentsplustheory_corrmat_singleprocess(experiments_covmat, theory_covmat_singleprocess): """Calculates the correlation matrix for the experimental plus theory covariance matrices.""" From 36077ace80692712b9d56e99f1a8b02e45fc9dc6 Mon Sep 17 00:00:00 2001 From: Zahari Date: Wed, 5 Jun 2019 09:55:37 +0100 Subject: [PATCH 370/429] Rename theory_corrmat in tests Closes #477. --- validphys2/src/validphys/theorycovariance/tests.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/theorycovariance/tests.py b/validphys2/src/validphys/theorycovariance/tests.py index ea7e0cd376..bf04489a26 100644 --- a/validphys2/src/validphys/theorycovariance/tests.py +++ b/validphys2/src/validphys/theorycovariance/tests.py @@ -23,7 +23,7 @@ from validphys.checks import check_two_dataspecs from validphys.theorycovariance.construction import combine_by_type, process_starting_points -from validphys.theorycovariance.construction import theory_corrmat +from validphys.theorycovariance.construction import theory_corrmat_singleprocess from validphys.theorycovariance.construction import covmap, covs_pt_prescrip, theory_covmat_custom from validphys.theorycovariance.output import matrix_plot_labels, _get_key @@ -232,7 +232,7 @@ def theory_matrix_threshold(theory_threshold:(int, float) = 0): def theory_corrmat_custom_dataspecs(theory_covmat_custom_dataspecs): """Calculates the theory correlation matrix for scale variations with variations by process type""" - mat = theory_corrmat(theory_covmat_custom_dataspecs) + mat = theory_corrmat_singleprocess(theory_covmat_custom_dataspecs) return mat From 95bdd9edade8cda36f4e8a8955b6927dfde58fff Mon Sep 17 00:00:00 2001 From: wilsonm Date: Thu, 6 Jun 2019 10:57:01 +0100 Subject: [PATCH 371/429] changed documentation to reflect buildmaster cmake file change --- doc/validphys2/guide.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index cdcd761cbc..d29cc2121b 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -596,11 +596,12 @@ development environment for `nnpdf`. 5. Use the result. For example, we can now compile `buildmaster` linking with the `libnnpdf` library we just created. Since the - conda environment is all set and `buildmaster` doesn't install, - not additional configuration is necessary: + conda environment is all set and `buildmaster` installs in a fixed location + by default, no additional configuration is necessary: ``` - buildmaster$ make clean - buildmaster$ make + buildmaster$ mkdir bld && cd bld + buildmaster/bld$ cmake .. + buildmaster/bld$ make -j && make install ``` [COMPILERS]: https://conda.io/projects/conda-build/en/latest/source/resources/compiler-tools.html#compiler-packages From db2f2b006ea64b84172b84038e92c4fece2c2225 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Thu, 6 Jun 2019 11:46:18 +0100 Subject: [PATCH 372/429] added first draft of mpl test docs --- doc/validphys2/guide.md | 64 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 64 insertions(+) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index cdcd761cbc..4752056cff 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -3194,6 +3194,70 @@ It demonstrates how to leverage existing functionality to perform new computations and then present those as plots and tables. +Matplotlib Image Comparison Tests +--------------------------------- + +It is possible to create tests which perform an image comparison between a +generated plot and a preexisting baseline plot. Clearly this allows one to check +consistency in figure generation. The procedure for setting up a new image +comparison test will be explained here. + +Before beginning you will need to ensure that you have the tests dependencies, +which can be checked in `nnpdf/conda-recipe/meta.yml`, they are: + +- hypothesis +- pytest +- coverage +- pytest-mpl + +the next step is to write the test function. It is highly recommended to use the +validphys API for this, both to simplify the code and to make it agnostic to the +structure of backend providers - provided that they produce the same results. See +for example a function which tests the `plot_pdfs` provider: + +```python +@pytest.mark.mpl_image_compare +def test_plotpdfs(): + pdfs = ['NNPDF31_nnlo_as_0118'] + Q = 10 + flavours = ['g'] + #plot_pdfs returns a generator with (figure, name_hint) + return next(API.plot_pdfs(pdfs=pdfs, Q=Q, flavours=flavours))[0] +``` + +we see that the function needs to return a valid matplotlib figure, and should +be decorated with `@pytest.mark.mpl_image_compare`. + +Now the baseline figure needs to be generated, this can be achieved by running + +``` +pytest -k --mpl-generate-path=baseline +``` + +which will generated a PNG of the figure in the `src/validphys/tests/baseline` +directory. It is recommended to put all baseline plots in this directory so that +they are automatically installed, and so will be in the correct location when +the CI runs the test suite. + +Now that the baseline figure exists you can check that your test works: + +``` +pytest -k --mpl +``` + +Also you can check that the test has been added to the full test suite: + +``` +pytest --pyargs --mpl validphys +``` + +just note that if you do not put the `--mpl` flag then the test will just check +that the function runs without error, and won't check that the output matches to +baseline. + +The new test is now ready to be reviewed and potentially merged into the master +branch of the code. + Server configuration ==================== From d1cb21491d997f0063c6a382aff76af4a1b7c586 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Thu, 6 Jun 2019 13:05:28 +0100 Subject: [PATCH 373/429] changed regressions and weights tests to use API --- validphys2/src/validphys/tests/conftest.py | 161 +++++++++--------- .../src/validphys/tests/test_regressions.py | 79 ++++----- .../src/validphys/tests/test_weights.py | 10 +- 3 files changed, 116 insertions(+), 134 deletions(-) diff --git a/validphys2/src/validphys/tests/conftest.py b/validphys2/src/validphys/tests/conftest.py index a8a0f5a172..2d84f5ae44 100644 --- a/validphys2/src/validphys/tests/conftest.py +++ b/validphys2/src/validphys/tests/conftest.py @@ -24,90 +24,89 @@ def tmp(tmpdir): return pathlib.Path(tmpdir) @pytest.fixture(scope='module') -def data(): - l = Loader() - dataset_inputs = [{'name': 'NMC'}, - {'name':'ATLASTTBARTOT', 'cfac':['QCD']}, - {'name':'CMSZDIFF12', 'cfac':('QCD', 'NRM'), 'sysnum':10}] - ds = [l.check_dataset(**x, theoryid=162, cuts=None) for x in dataset_inputs] - exps = [ExperimentSpec(x.name, [x]) for x in ds] - pdf = l.check_pdf("NNPDF31_nnlo_as_0118") - return pdf, exps +def data_config(): + experiment_list = [ + { + 'experiment': 'NMC', + 'datasets': [{'dataset': 'NMC'}]}, + { + 'experiment': 'ATLASTTBARTOT', + 'datasets': [{'dataset': 'ATLASTTBARTOT', 'cfac':['QCD']}]}, + { + 'experiment': 'CMSZDIFF12', + 'datasets': [{'dataset': 'CMSZDIFF12', 'cfac':('QCD', 'NRM'), 'sys':10}]} + ] + config_dict = dict( + pdf="NNPDF31_nnlo_as_0118", + use_cuts='nocuts', + experiments=experiment_list, + theoryid=162, + use_t0=False, + use_fitthcovmat=False + ) + return config_dict @pytest.fixture(scope='module') -def exps_covariance_matrices(data): - """produces a list of covariance matrix outputs for each experiment""" - _, exps = data - covs = [results.experiment_covariance_matrix(exp, False, None) for exp in exps] - return covs +def data_witht0_config(): + experiment_list = [ + { + 'experiment': 'NMC', + 'datasets': [{'dataset': 'NMC'}]}, + { + 'experiment': 'ATLASTTBARTOT', + 'datasets': [{'dataset': 'ATLASTTBARTOT', 'cfac':['QCD']}]}, + { + 'experiment': 'CMSZDIFF12', + 'datasets': [{'dataset': 'CMSZDIFF12', 'cfac':('QCD', 'NRM'), 'sys':10}]} + ] + config_dict = dict( + pdf="NNPDF31_nnlo_as_0118", + use_cuts='nocuts', + experiments=experiment_list, + theoryid=162, + use_t0=True, + t0pdfset="NNPDF31_nnlo_as_0118", + use_fitthcovmat=False + ) + return config_dict @pytest.fixture(scope='module') -def t0_exps_covariance_matrices(data): - """produces a list of covariance matrix outputs for each experiment""" - pdf, exps = data - covs = [results.experiment_covariance_matrix(exp, False, pdf) for exp in exps] - return covs - -def convolution_results_implement(data): - pdf, exps = data - #no theory covmat here - covs = [results.experiment_covariance_matrix(exp, False, pdf) for exp in exps] - return [results.experiment_results(exp, pdf, cov) for exp, cov in zip(exps, covs)] - -@pytest.fixture(scope='module') -def convolution_results(data): - return convolution_results_implement(data) - -@pytest.fixture -def dataset_t0_convolution_results(data): - pdf, exps = data - ds = [x.datasets[0] for x in exps] - covs = [results.covariance_matrix(x, False, pdf) for x in ds] - return [results.results(x, pdf, cov) for x, cov in zip(ds, covs)] - -@pytest.fixture(scope='module') -def single_exp_data(): - l = Loader() - dataset_inputs = [{'name': 'NMC'}, - {'name':'ATLASTTBARTOT', 'cfac':['QCD']}, - {'name':'CMSZDIFF12', 'cfac':('QCD', 'NRM'), 'sysnum':10}] - ds = [l.check_dataset(**x, theoryid=162, cuts=None) for x in dataset_inputs] - exp = ExperimentSpec('pseudo experiment', ds) - pdf = l.check_pdf("NNPDF31_nnlo_as_0118") - return pdf, exp - -@pytest.fixture(scope='module') -def dataset_convolution_results(single_exp_data): - pdf, exp = single_exp_data - covs = [results.covariance_matrix(ds, False, pdf) for ds in exp.datasets] - return [results.results(ds, pdf, cov) for ds, cov in zip(exp.datasets, covs)] - -@pytest.fixture(scope='module') -def dataset_chi2data(dataset_convolution_results): - return [results.abs_chi2_data(r) for r in dataset_convolution_results] - -def chi2data_implement(convolution_results): - return [results.abs_chi2_data_experiment(r) for r in convolution_results] - -@pytest.fixture(scope='module') -def chi2data(convolution_results): - return chi2data_implement(convolution_results) - -@pytest.fixture(scope='module') -def weighted_data(): - l = Loader() - ds = l.check_dataset(name='NMC', theoryid=162, cuts=None) - wds = l.check_dataset(name='NMC', theoryid=162, cuts=None, weight=100) - exp = ExperimentSpec('NMC Experiment', [ds]) - wexp = ExperimentSpec('Weighted', [wds]) - pdf = l.check_pdf("NNPDF31_nnlo_as_0118") - exps = [exp, wexp] - return pdf, exps - -@pytest.fixture(scope='module') -def convolution_results_with_weights(weighted_data): - return convolution_results_implement(weighted_data) +def data_singleexp_witht0_config(): + experiment_list = [ + { + 'experiment': 'pseudo experiment', + 'datasets': [ + {'dataset': 'NMC'}, + {'dataset': 'ATLASTTBARTOT', 'cfac':['QCD']}, + {'dataset': 'CMSZDIFF12', 'cfac':('QCD', 'NRM'), 'sys':10}]}] + config_dict = dict( + pdf="NNPDF31_nnlo_as_0118", + use_cuts='nocuts', + experiments=experiment_list, + theoryid=162, + use_t0=True, + t0pdfset="NNPDF31_nnlo_as_0118", + use_fitthcovmat=False + ) + return config_dict @pytest.fixture(scope='module') -def weighted_chi2data(convolution_results_with_weights): - return chi2data_implement(convolution_results_with_weights) +def weighted_data_witht0_config(): + experiment_list = [ + { + 'experiment': 'NMC Experiment', + 'datasets': [{'dataset': 'NMC'}]}, + { + 'experiment': 'Weighted', + 'datasets': [{'dataset': 'NMC', 'weight': 100}]}, + ] + config_dict = dict( + pdf="NNPDF31_nnlo_as_0118", + use_cuts='nocuts', + experiments=experiment_list, + theoryid=162, + use_t0=True, + t0pdfset="NNPDF31_nnlo_as_0118", + use_fitthcovmat=False + ) + return config_dict diff --git a/validphys2/src/validphys/tests/test_regressions.py b/validphys2/src/validphys/tests/test_regressions.py index ae312b2a4f..b4dea82c2b 100644 --- a/validphys2/src/validphys/tests/test_regressions.py +++ b/validphys2/src/validphys/tests/test_regressions.py @@ -17,6 +17,7 @@ import NNPDF from validphys import results +from validphys.api import API from validphys.tableloader import (parse_exp_mat, load_perreplica_chi2_table, sane_load, load_fits_chi2_table) @@ -51,13 +52,10 @@ def f_(*args, **kwargs): return decorator @make_table_comp(parse_exp_mat) -def test_expcovmat(data, exps_covariance_matrices): - _, exps = data - eindex = results.experiments_index(exps) - mat = results.experiments_covmat_no_table( - exps, eindex, exps_covariance_matrices) +def test_expcovmat(data_config): + mat = API.experiments_covmat_no_table(**data_config) covmats = [] - for exp in exps: + for exp in API.experiments(**data_config): cd = exp.datasets[0].commondata.load() covmats.append(NNPDF.ComputeCovMat(cd, cd.get_cv())) othermat = la.block_diag(*covmats) @@ -65,62 +63,45 @@ def test_expcovmat(data, exps_covariance_matrices): return mat @make_table_comp(parse_exp_mat) -def test_t0covmat(data, t0_exps_covariance_matrices): - _, exps = data - eindex = results.experiments_index(exps) - return results.experiments_covmat_no_table( - exps, eindex, t0_exps_covariance_matrices) +def test_t0covmat(data_witht0_config): + return API.experiments_covmat_no_table(**data_witht0_config) @make_table_comp(parse_exp_mat) -def test_expsqrtcovmat(data, exps_covariance_matrices): - _, exps = data - eindex = results.experiments_index(exps) - return results.experiments_sqrtcovmat(exps, eindex, exps_covariance_matrices) +def test_expsqrtcovmat(data_config): + return API.experiments_sqrtcovmat(**data_config) @make_table_comp(parse_exp_mat) -def test_t0sqrtcovmat(data, t0_exps_covariance_matrices): - _, exps = data - eindex = results.experiments_index(exps) - return results.experiments_sqrtcovmat(exps, eindex, t0_exps_covariance_matrices) +def test_t0sqrtcovmat(data_witht0_config): + return API.experiments_sqrtcovmat(**data_witht0_config) @make_table_comp(sane_load) -def test_predictions(convolution_results): - ths = [] - for convolution_result in convolution_results: - dt, th = convolution_result - ths.append(th._rawdata.astype(float)) - th = np.concatenate(ths) - return pd.DataFrame(th, - columns=map(str, - range(th.shape[1]))) +def test_predictions(data_config): + #TODO: change the baseline to just be the `experiment_result_table` + exp_res_tab = API.experiment_result_table_no_table(**data_config) + th = exp_res_tab.iloc[:, 2:].values + return pd.DataFrame(th, columns=map(str, range(th.shape[1]))) @make_table_comp(sane_load) -def test_dataset_t0_predictions(dataset_t0_convolution_results): - ths = [] - for convolution_result in dataset_t0_convolution_results: - dt, th = convolution_result - ths.append(th._rawdata.astype(float)) - th = np.concatenate(ths) - return pd.DataFrame(th, - columns=map(str, - range(th.shape[1]))) +def test_dataset_t0_predictions(data_witht0_config): + #TODO: same as above + exp_res_tab = API.experiment_result_table_no_table(**data_witht0_config) + th = exp_res_tab.iloc[:, 2:].values + return pd.DataFrame(th, columns=map(str, range(th.shape[1]))) @make_table_comp(sane_load) -def test_cv(convolution_results): - cvs = [] - for convolution_result in convolution_results: - dt, _ = convolution_result - cvs.append(dt.central_value) - data_values = np.concatenate(cvs) +def test_cv(data_config): + exp_res_tab = API.experiment_result_table_no_table(**data_config) + data_values = exp_res_tab.iloc[:, 0].values[:, np.newaxis] return pd.DataFrame(data_values, columns=['CV']) @make_table_comp(load_perreplica_chi2_table) -def test_replicachi2data(data, chi2data): - pdf, exps = data - return results.perreplica_chi2_table(exps, chi2data) +def test_replicachi2data(data_witht0_config): + return API.perreplica_chi2_table(**data_witht0_config) @make_table_comp(load_fits_chi2_table) -def test_datasetchi2(single_exp_data, dataset_chi2data): - _, exp = single_exp_data - return results.fits_datasets_chi2_table(['test'], [[exp]], dataset_chi2data) +def test_datasetchi2(data_singleexp_witht0_config): + # This is a bit hacky but avoids requiring a fit + exps = API.experiments(**data_singleexp_witht0_config) + chi2s = API.each_dataset_chi2(**data_singleexp_witht0_config) + return results.fits_datasets_chi2_table(['test'], [exps], chi2s) diff --git a/validphys2/src/validphys/tests/test_weights.py b/validphys2/src/validphys/tests/test_weights.py index 4a0ef960d2..f198d1cc52 100644 --- a/validphys2/src/validphys/tests/test_weights.py +++ b/validphys2/src/validphys/tests/test_weights.py @@ -3,14 +3,16 @@ """ import numpy as np -def test_weights_have_same_commondata(weighted_data): - _, exps = weighted_data +from validphys.api import API + +def test_weights_have_same_commondata(weighted_data_witht0_config): + exps = API.experiments(**weighted_data_witht0_config) normal, weighted = exps normalds, weightedds = normal.datasets[0].load(), weighted.datasets[0].load() assert normalds.GetSys(0, 0).mult == weightedds.GetSys(0, 0).mult assert normalds.GetSys(0, 0).add == weightedds.GetSys(0, 0).add -def test_chi2_arithmetic(weighted_chi2data): - normal, weighted = weighted_chi2data +def test_chi2_arithmetic(weighted_data_witht0_config): + normal, weighted = API.experiments_chi2(**weighted_data_witht0_config) assert np.allclose(weighted[0].data/normal[0].data, 100) From 8a3b53e1b99dc41c6224e9f4951216fd79e8f2f6 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 7 Jun 2019 12:16:01 +0100 Subject: [PATCH 374/429] remove test dependency list from vp guide --- doc/validphys2/guide.md | 15 +++------------ 1 file changed, 3 insertions(+), 12 deletions(-) diff --git a/doc/validphys2/guide.md b/doc/validphys2/guide.md index 4752056cff..29c9829250 100644 --- a/doc/validphys2/guide.md +++ b/doc/validphys2/guide.md @@ -3199,18 +3199,12 @@ Matplotlib Image Comparison Tests It is possible to create tests which perform an image comparison between a generated plot and a preexisting baseline plot. Clearly this allows one to check -consistency in figure generation. The procedure for setting up a new image -comparison test will be explained here. +consistency in figure generation. Before beginning you will need to ensure that you have the tests dependencies, -which can be checked in `nnpdf/conda-recipe/meta.yml`, they are: +which can be checked in `nnpdf/conda-recipe/meta.yml`. -- hypothesis -- pytest -- coverage -- pytest-mpl - -the next step is to write the test function. It is highly recommended to use the +The next step is to write the test function. It is highly recommended to use the validphys API for this, both to simplify the code and to make it agnostic to the structure of backend providers - provided that they produce the same results. See for example a function which tests the `plot_pdfs` provider: @@ -3255,9 +3249,6 @@ just note that if you do not put the `--mpl` flag then the test will just check that the function runs without error, and won't check that the output matches to baseline. -The new test is now ready to be reviewed and potentially merged into the master -branch of the code. - Server configuration ==================== From a48965c0704bbfee33b585957b29eb828ec06819 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 7 Jun 2019 12:22:52 +0100 Subject: [PATCH 375/429] expanded comment on test_predictions to explain why we deconstruct and reconstruct a pd.DataFrame due to limitations of CSV --- validphys2/src/validphys/tests/test_regressions.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/tests/test_regressions.py b/validphys2/src/validphys/tests/test_regressions.py index b4dea82c2b..ba294726e9 100644 --- a/validphys2/src/validphys/tests/test_regressions.py +++ b/validphys2/src/validphys/tests/test_regressions.py @@ -77,20 +77,24 @@ def test_t0sqrtcovmat(data_witht0_config): @make_table_comp(sane_load) def test_predictions(data_config): - #TODO: change the baseline to just be the `experiment_result_table` + # TODO: ideally we would change the baseline to just be corresponding columns + # of `experiment_result_table`, however sane_load expects just a single level + # of column and index - if we use a different format like parquet this could + # be changed. exp_res_tab = API.experiment_result_table_no_table(**data_config) th = exp_res_tab.iloc[:, 2:].values return pd.DataFrame(th, columns=map(str, range(th.shape[1]))) @make_table_comp(sane_load) def test_dataset_t0_predictions(data_witht0_config): - #TODO: same as above + # TODO: As in `test_predictions` exp_res_tab = API.experiment_result_table_no_table(**data_witht0_config) th = exp_res_tab.iloc[:, 2:].values return pd.DataFrame(th, columns=map(str, range(th.shape[1]))) @make_table_comp(sane_load) def test_cv(data_config): + # TODO: As in `test_predictions` exp_res_tab = API.experiment_result_table_no_table(**data_config) data_values = exp_res_tab.iloc[:, 0].values[:, np.newaxis] return pd.DataFrame(data_values, columns=['CV']) From fdb91355b396229d42d0d533b40050d4c76187f0 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 7 Jun 2019 15:43:35 +0100 Subject: [PATCH 376/429] got rid of mass duplications in conftest --- validphys2/src/validphys/tests/conftest.py | 122 +++++++++------------ 1 file changed, 50 insertions(+), 72 deletions(-) diff --git a/validphys2/src/validphys/tests/conftest.py b/validphys2/src/validphys/tests/conftest.py index 2d84f5ae44..f9a8ceef0a 100644 --- a/validphys2/src/validphys/tests/conftest.py +++ b/validphys2/src/validphys/tests/conftest.py @@ -23,90 +23,68 @@ def tmp(tmpdir): """A tempdir that is manipulated like pathlib Paths""" return pathlib.Path(tmpdir) -@pytest.fixture(scope='module') -def data_config(): - experiment_list = [ - { - 'experiment': 'NMC', - 'datasets': [{'dataset': 'NMC'}]}, - { - 'experiment': 'ATLASTTBARTOT', - 'datasets': [{'dataset': 'ATLASTTBARTOT', 'cfac':['QCD']}]}, - { - 'experiment': 'CMSZDIFF12', - 'datasets': [{'dataset': 'CMSZDIFF12', 'cfac':('QCD', 'NRM'), 'sys':10}]} - ] - config_dict = dict( - pdf="NNPDF31_nnlo_as_0118", +# Here define the default config items like the PDF, theory and experiment specs + +EXPERIMENTS = [ + { + 'experiment': 'NMC', + 'datasets': [{'dataset': 'NMC'}]}, + { + 'experiment': 'ATLASTTBARTOT', + 'datasets': [{'dataset': 'ATLASTTBARTOT', 'cfac':['QCD']}]}, + { + 'experiment': 'CMSZDIFF12', + 'datasets': [{'dataset': 'CMSZDIFF12', 'cfac':('QCD', 'NRM'), 'sys':10}]} + ] + +SINGLE_EXP = [ + { + 'experiment': 'pseudo experiment', + 'datasets': [ + {'dataset': 'NMC'}, + {'dataset': 'ATLASTTBARTOT', 'cfac':['QCD']}, + {'dataset': 'CMSZDIFF12', 'cfac':('QCD', 'NRM'), 'sys':10}]}] + +WEIGHTED_DATA = [ + { + 'experiment': 'NMC Experiment', + 'datasets': [{'dataset': 'NMC'}]}, + { + 'experiment': 'Weighted', + 'datasets': [{'dataset': 'NMC', 'weight': 100}]}, + ] + +PDF = "NNPDF31_nnlo_as_0118" +THEORYID = 162 + +base_config = dict( + pdf=PDF, use_cuts='nocuts', - experiments=experiment_list, - theoryid=162, - use_t0=False, + experiments=EXPERIMENTS, + theoryid=THEORYID, use_fitthcovmat=False ) - return config_dict + +@pytest.fixture(scope='module') +def data_config(): + return base_config @pytest.fixture(scope='module') def data_witht0_config(): - experiment_list = [ - { - 'experiment': 'NMC', - 'datasets': [{'dataset': 'NMC'}]}, - { - 'experiment': 'ATLASTTBARTOT', - 'datasets': [{'dataset': 'ATLASTTBARTOT', 'cfac':['QCD']}]}, - { - 'experiment': 'CMSZDIFF12', - 'datasets': [{'dataset': 'CMSZDIFF12', 'cfac':('QCD', 'NRM'), 'sys':10}]} - ] config_dict = dict( - pdf="NNPDF31_nnlo_as_0118", - use_cuts='nocuts', - experiments=experiment_list, - theoryid=162, + **base_config, use_t0=True, - t0pdfset="NNPDF31_nnlo_as_0118", - use_fitthcovmat=False - ) + t0pdfset=PDF) return config_dict @pytest.fixture(scope='module') -def data_singleexp_witht0_config(): - experiment_list = [ - { - 'experiment': 'pseudo experiment', - 'datasets': [ - {'dataset': 'NMC'}, - {'dataset': 'ATLASTTBARTOT', 'cfac':['QCD']}, - {'dataset': 'CMSZDIFF12', 'cfac':('QCD', 'NRM'), 'sys':10}]}] - config_dict = dict( - pdf="NNPDF31_nnlo_as_0118", - use_cuts='nocuts', - experiments=experiment_list, - theoryid=162, - use_t0=True, - t0pdfset="NNPDF31_nnlo_as_0118", - use_fitthcovmat=False - ) +def data_singleexp_witht0_config(data_witht0_config): + config_dict = dict(data_witht0_config) + config_dict.update({'experiments': SINGLE_EXP}) return config_dict @pytest.fixture(scope='module') -def weighted_data_witht0_config(): - experiment_list = [ - { - 'experiment': 'NMC Experiment', - 'datasets': [{'dataset': 'NMC'}]}, - { - 'experiment': 'Weighted', - 'datasets': [{'dataset': 'NMC', 'weight': 100}]}, - ] - config_dict = dict( - pdf="NNPDF31_nnlo_as_0118", - use_cuts='nocuts', - experiments=experiment_list, - theoryid=162, - use_t0=True, - t0pdfset="NNPDF31_nnlo_as_0118", - use_fitthcovmat=False - ) +def weighted_data_witht0_config(data_witht0_config): + config_dict = dict(data_witht0_config) + config_dict.update({'experiments': WEIGHTED_DATA}) return config_dict From 059af16c26b05e7dce92ec9d894052718b762e63 Mon Sep 17 00:00:00 2001 From: wilsonm Date: Fri, 7 Jun 2019 15:48:10 +0100 Subject: [PATCH 377/429] removed unneccessary imports from results --- validphys2/src/validphys/tests/conftest.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/validphys2/src/validphys/tests/conftest.py b/validphys2/src/validphys/tests/conftest.py index f9a8ceef0a..c188299a14 100644 --- a/validphys2/src/validphys/tests/conftest.py +++ b/validphys2/src/validphys/tests/conftest.py @@ -8,10 +8,6 @@ import pytest from hypothesis import settings -from validphys.loader import FallbackLoader as Loader -from validphys.core import ExperimentSpec -from validphys import results - #Adding this here to change the time of deadline from default (200ms) to 1000ms settings.register_profile("extratime", deadline=1000) settings.load_profile("extratime") From 88919a9d31000b8b91a52fe0a414b50a5f2d1423 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Wed, 19 Jun 2019 11:18:39 +0200 Subject: [PATCH 378/429] modified conda package to nnpdf-tf with the dependencies for n3fit --- .ciscripts/build-deploy-linux.sh | 2 +- .ciscripts/build-deploy-osx.sh | 2 +- .travis.yml | 2 +- conda-recipe/meta.yaml | 7 ++++++- 4 files changed, 9 insertions(+), 4 deletions(-) diff --git a/.ciscripts/build-deploy-linux.sh b/.ciscripts/build-deploy-linux.sh index 7070f2cf4f..c71662d5fe 100755 --- a/.ciscripts/build-deploy-linux.sh +++ b/.ciscripts/build-deploy-linux.sh @@ -27,7 +27,7 @@ fi #This seems to be needed for "artifacts" to work. cp /root/miniconda3/conda-bld/linux-64/*.tar.bz2 . -echo "Uploading package to zigzah" +echo "Uploading package to nnpdf" KEY=$( mktemp ) #This is defined in the Travis environment variables. echo "$ZIGZAH_SSH_KEY" | base64 --decode > "$KEY" diff --git a/.ciscripts/build-deploy-osx.sh b/.ciscripts/build-deploy-osx.sh index a6a8e41da0..55a3f9330e 100755 --- a/.ciscripts/build-deploy-osx.sh +++ b/.ciscripts/build-deploy-osx.sh @@ -19,7 +19,7 @@ set the UPLOAD_NON_MASTER variable." exit 0 fi -echo "Uploading package to zigzah" +echo "Uploading package to nnpdf" #Idiotic mac mktemp KEY=$( mktemp "${TMPDIR:-/tmp}/key.XXXXXXXXX" ) #This is defined in the Gitlab variables, under the Settings Menu. diff --git a/.travis.yml b/.travis.yml index 9935eca049..1a39d93d4d 100644 --- a/.travis.yml +++ b/.travis.yml @@ -16,7 +16,7 @@ env: - CONDAPATH="/Users/travis/miniconda3" - OUTPUT_ARCH=osx-64 - OUTPUT_CHANNEL=conda-pkgs-private - - UPLOAD_NON_MASTER="false" + - UPLOAD_NON_MASTER="true" matrix: - CONDA_PY=36 diff --git a/conda-recipe/meta.yaml b/conda-recipe/meta.yaml index 2ba24ad3d2..ee7953ca94 100644 --- a/conda-recipe/meta.yaml +++ b/conda-recipe/meta.yaml @@ -1,5 +1,5 @@ package: - name: nnpdf + name: nnpdf-tf version: "{{ GIT_DESCRIBE_TAG }}.{{ GIT_DESCRIBE_NUMBER }}+{{ GIT_DESCRIBE_HASH }}" source: @@ -22,6 +22,11 @@ requirements: - python - numpy run: + - tensorflow + - keras + - ruamel.yaml + - hyperopt + - seaborn - lhapdf - sqlite - gsl From eef953cc780ec457dafb63e970da9aa016a6fd2c Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 19 Mar 2019 22:29:35 +0000 Subject: [PATCH 379/429] Add pure Python FK parser Add functionality to read fktables in pure python. This supports transparently both compressed and plain tables. We have functionality to process both types of sections defined in the spec, namely blobs and option lists. We support types casting (and more general parsing) for the option values and define various specialized parsing for various blobs (at the moment based on numpy). These still need some work. At the moment the code relies on the untested assumption that the FastKernel section comes last. For the moment, return a dictionary with all the fields. --- validphys2/src/validphys/fkparser.py | 151 +++++++++++++++++++++++++++ 1 file changed, 151 insertions(+) create mode 100644 validphys2/src/validphys/fkparser.py diff --git a/validphys2/src/validphys/fkparser.py b/validphys2/src/validphys/fkparser.py new file mode 100644 index 0000000000..16d4ec8657 --- /dev/null +++ b/validphys2/src/validphys/fkparser.py @@ -0,0 +1,151 @@ +""" +fkparser.py + +Parse FKtables into useful datastructures +""" +import io +import functools +import tarfile + +import numpy as np + + +class BadFKTableError(Exception): + pass + +def load_fktable(spec): + with open_fkpath(spec.fkpath) as handle: + return parse_fktable(handle) + + +def _get_compressed_buffer(path): + archive = tarfile.open(path) + members = archive.getmembers() + l = len(members) + if l != 1: + raise BadFKTableError( + f"Archive {path} should contain one file, but it contains {l}.") + return archive.extractfile(members[0]) + + +def open_fkpath(path): + """Return a file-like object from the fktable path, regardless of whether + it is compressed""" + if tarfile.is_tarfile(path): + return _get_compressed_buffer(path) + return open(path, 'rb') + + +def _is_header_line(line): + return line.startswith((b'_', b'{')) + +def _parse_fk_options(line_and_stream, value_parsers=None): + """Parse a sequence of lines of the form + *OPTION: VALUE + into a dictionary. + """ + res = {} + if value_parsers is None: + value_parsers = {} + for lineno, next_line in line_and_stream: + if _is_header_line(next_line): + return res, lineno, next_line + if not next_line.startswith(b'*'): + raise BadFKTableError(f"Error on line {lineno}: Expecting an option starting with '*'") + try: + keybytes, valuebytes = next_line.split(b':', maxsplit=1) + except ValueError: + raise BadFKTableError(f"Error on line {lineno}: Expecting an option containing ':'") + key = keybytes[1:].strip().decode() + if key in value_parsers: + try: + value = value_parsers[key](valuebytes) + except Exception as e: + raise BadFKTableError(f"Could not parse key {key} on line {lineno}") from e + else: + value = valuebytes.strip().decode() + res[key] = value + + raise BadFKTableError("FKTable should end with FastKernel spec, not with a set of options") + + +def _segment_parser(f): + @functools.wraps(f) + def f_(line_and_stream): + buf = io.BytesIO() + for lineno, next_line in line_and_stream: + if _is_header_line(next_line): + processed = f(buf) + return processed, lineno, next_line + buf.write(next_line) + raise BadFKTableError("FKTable should end with FastKernel spec, not with a segment string") + return f_ + +@_segment_parser +def _parse_string(buf): + return buf.getvalue().decode() + +@_segment_parser +def _parse_flavour_map(buf): + buf.seek(0) + return np.loadtxt(buf, dtype=bool) + +@_segment_parser +def _parse_xgrid(buf): + return np.fromstring(buf.getvalue(), sep='\n') + +# This used a differen interface from segment parser because we want it to +# be fast. +# We assume it is going to be the last section. +def _parse_fast_kernel(f): + return np.loadtxt(f) + + +def _parse_header(lineno, header): + if not _is_header_line(header): + raise BadFKTableError(f"Bad header at line {lineno}: First " + "character should be either '_' or '{'") + try: + endname = header.index(b'_', 1) + except ValueError: + raise BadFKTableError(f"Bad header at line {lineno}: Expected '_' after name") from None + header_name = header[1:endname] + #Note: This is not the same as header[0]. Bytes iterate as ints. + return header[0:1], header_name.decode() + + +_KNOWN_SEGMENTS = { + "GridDesc": _parse_string, + "VersionInfo": _parse_fk_options, + "GridInfo": functools.partial( + _parse_fk_options, value_parsers={"HADRONIC": bool, "NDATA": int, "NX": int} + ), + "FlavourMap": _parse_flavour_map, + "xGrid": _parse_xgrid, +} + +def parse_fktable(f): + line_and_stream = enumerate(f, start=1) + res = {} + lineno, header = next(line_and_stream) + while True: + marker, header_name = _parse_header(lineno, header) + if header_name in _KNOWN_SEGMENTS: + parser = _KNOWN_SEGMENTS[header_name] + elif marker == b'{': + parser = _parse_string + elif marker == b'_': + parser = _parse_fk_options + else: + raise RuntimeError("Should not be here") + if header_name == 'FastKernel': + res['FastKernel'] = _parse_fast_kernel(f) + return res + try: + out, lineno, header = parser(line_and_stream) + except Exception as e: + #Note that the old lineno is the one we want + raise BadFKTableError(f"Failed processing header {header_name} on line {lineno}") from e + res[header_name] = out + if not header: + break From f52e00d5701fa307219c1ae1479a26042c5e0135 Mon Sep 17 00:00:00 2001 From: Zahari Date: Wed, 20 Mar 2019 11:30:43 +0000 Subject: [PATCH 380/429] Use pandas for parsing This is the easiest way to correctly process the indexes. Moreover we need something more complicated than a one character separator because there are fktables that use '\t' and ' ' at the same time. For the moment this only works for hadronic tables, as DIS have different indexing. --- validphys2/src/validphys/fkparser.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/validphys2/src/validphys/fkparser.py b/validphys2/src/validphys/fkparser.py index 16d4ec8657..188f92c4f3 100644 --- a/validphys2/src/validphys/fkparser.py +++ b/validphys2/src/validphys/fkparser.py @@ -8,6 +8,7 @@ import tarfile import numpy as np +import pandas as pd class BadFKTableError(Exception): @@ -98,7 +99,10 @@ def _parse_xgrid(buf): # be fast. # We assume it is going to be the last section. def _parse_fast_kernel(f): - return np.loadtxt(f) + # Note that we need the slower whitespace here because it turns out + # that there are fktables where space and tab are used as separators + # within the same table. + return pd.read_csv(f, sep=r'\s+', header=None, index_col=(0,1,2)) def _parse_header(lineno, header): From 68a86568262b9785375d4ab24ebdf47460e6908d Mon Sep 17 00:00:00 2001 From: Zahari Date: Thu, 21 Mar 2019 10:44:15 +0000 Subject: [PATCH 381/429] Add support for DIS tables --- validphys2/src/validphys/fkparser.py | 65 +++++++++++++++++++++++----- 1 file changed, 53 insertions(+), 12 deletions(-) diff --git a/validphys2/src/validphys/fkparser.py b/validphys2/src/validphys/fkparser.py index 188f92c4f3..7fb23fa1f2 100644 --- a/validphys2/src/validphys/fkparser.py +++ b/validphys2/src/validphys/fkparser.py @@ -6,15 +6,23 @@ import io import functools import tarfile +import dataclasses import numpy as np import pandas as pd +@dataclasses.dataclass(frozen=True) +class GridInfo: + setname: str + hadronic: bool + ndata: int + nx: int class BadFKTableError(Exception): - pass + """Exception raised when an FKTable cannot be parsed correctly""" def load_fktable(spec): + """Load the data corresponding to a FKSpec object""" with open_fkpath(spec.fkpath) as handle: return parse_fktable(handle) @@ -98,11 +106,37 @@ def _parse_xgrid(buf): # This used a differen interface from segment parser because we want it to # be fast. # We assume it is going to be the last section. -def _parse_fast_kernel(f): +def _parse_hadronic_fast_kernel(f): + """Parse the FastKernel secrion of an hadronic FKTable into a DataFrame. + ``f`` should be a stream containing only the section""" # Note that we need the slower whitespace here because it turns out # that there are fktables where space and tab are used as separators # within the same table. - return pd.read_csv(f, sep=r'\s+', header=None, index_col=(0,1,2)) + df = pd.read_csv(f, sep=r'\s+', header=None, index_col=(0,1,2)) + df.columns = list(range(14*14)) + df.index.names = ['data', 'x1', 'x2'] + return df + +def _parse_dis_fast_kernel(f): + """Parse the FastKernel section of a DIS FKTable into a DataFrame. + ``f`` should be a stream containing only the section""" + df = pd.read_csv(f, sep=r'\s+', header=None, index_col=(0,1)) + df.columns = list(range(14)) + df.index.names = ['data', 'x'] + return df + + +def _parse_gridinfo(line_and_stream): + d, l, h = _parse_fk_options( + line_and_stream, + value_parsers={ + "HADRONIC": lambda x: bool(int(x)), + "NDATA": int, + "NX": int + }) + gi = GridInfo(**{k.lower(): v for k, v in d.items()}) + return gi, l, h + def _parse_header(lineno, header): @@ -121,9 +155,7 @@ def _parse_header(lineno, header): _KNOWN_SEGMENTS = { "GridDesc": _parse_string, "VersionInfo": _parse_fk_options, - "GridInfo": functools.partial( - _parse_fk_options, value_parsers={"HADRONIC": bool, "NDATA": int, "NX": int} - ), + "GridInfo": _parse_gridinfo, "FlavourMap": _parse_flavour_map, "xGrid": _parse_xgrid, } @@ -134,7 +166,21 @@ def parse_fktable(f): lineno, header = next(line_and_stream) while True: marker, header_name = _parse_header(lineno, header) - if header_name in _KNOWN_SEGMENTS: + if header_name == "FastKernel": + try: + gi = res["GridInfo"] + except KeyError: + raise BadFKTableError( + "'GridInfo' section must come before 'FastKernel' section " + f"at {lineno}" + ) from None + res["FastKernel"] = ( + _parse_hadronic_fast_kernel(f) + if gi.hadronic + else _parse_dis_fast_kernel(f) + ) + return res + elif header_name in _KNOWN_SEGMENTS: parser = _KNOWN_SEGMENTS[header_name] elif marker == b'{': parser = _parse_string @@ -142,14 +188,9 @@ def parse_fktable(f): parser = _parse_fk_options else: raise RuntimeError("Should not be here") - if header_name == 'FastKernel': - res['FastKernel'] = _parse_fast_kernel(f) - return res try: out, lineno, header = parser(line_and_stream) except Exception as e: #Note that the old lineno is the one we want raise BadFKTableError(f"Failed processing header {header_name} on line {lineno}") from e res[header_name] = out - if not header: - break From c693fb14a36d4f75ac380e02ab3f97233acc6bb2 Mon Sep 17 00:00:00 2001 From: Zahari Date: Thu, 21 Mar 2019 19:15:38 +0000 Subject: [PATCH 382/429] Improve parsing Return a higher level object, with the required information to do a convolution, and a bunch of metadata. Parse the ThoryInfo (although we might not use much of it in practice) and refactor a bit the error checking so as to not clutter the main code path. --- validphys2/src/validphys/fkparser.py | 90 ++++++++++++++++++++++++---- 1 file changed, 77 insertions(+), 13 deletions(-) diff --git a/validphys2/src/validphys/fkparser.py b/validphys2/src/validphys/fkparser.py index 7fb23fa1f2..3b7d832977 100644 --- a/validphys2/src/validphys/fkparser.py +++ b/validphys2/src/validphys/fkparser.py @@ -11,6 +11,7 @@ import numpy as np import pandas as pd + @dataclasses.dataclass(frozen=True) class GridInfo: setname: str @@ -18,6 +19,14 @@ class GridInfo: ndata: int nx: int +@dataclasses.dataclass(eq=False) +class FKTableData: + hadronic: bool + Q0: float + xgrid: np.array + sigma: pd.DataFrame + metadata: dict = dataclasses.field(default_factory=dict, repr=False) + class BadFKTableError(Exception): """Exception raised when an FKTable cannot be parsed correctly""" @@ -48,6 +57,9 @@ def open_fkpath(path): def _is_header_line(line): return line.startswith((b'_', b'{')) +def _bytes_to_bool(x): + return bool(int(x)) + def _parse_fk_options(line_and_stream, value_parsers=None): """Parse a sequence of lines of the form *OPTION: VALUE @@ -130,7 +142,7 @@ def _parse_gridinfo(line_and_stream): d, l, h = _parse_fk_options( line_and_stream, value_parsers={ - "HADRONIC": lambda x: bool(int(x)), + "HADRONIC": _bytes_to_bool, "NDATA": int, "NX": int }) @@ -152,14 +164,71 @@ def _parse_header(lineno, header): return header[0:1], header_name.decode() +def _build_sigma(lineno, f, res): + gi = res["GridInfo"] + fm = res["FlavourMap"] + table = ( + _parse_hadronic_fast_kernel(f) if gi.hadronic else _parse_dis_fast_kernel(f) + ) + # Filter out empty flavour indices + table = table.loc[:, fm.ravel()] + return table + _KNOWN_SEGMENTS = { "GridDesc": _parse_string, "VersionInfo": _parse_fk_options, "GridInfo": _parse_gridinfo, "FlavourMap": _parse_flavour_map, "xGrid": _parse_xgrid, + "TheoryInfo": functools.partial( + _parse_fk_options, + value_parsers={ + "ID": int, + "PTO": int, + "DAMP": _bytes_to_bool, + "IC": _bytes_to_bool, + "XIR": float, + "XIF": float, + "NfFF": int, + "MaxNfAs": int, + "MaxNfPdf": int, + "Q0": float, + "alphas": float, + "Qref": float, + "QED": _bytes_to_bool, + "alphaqed": float, + "Qedref": float, + "SxRes": _bytes_to_bool, + "mc": float, + "Qmc": float, + "kcThr": float, + "mb": float, + "Qmb": float, + "kbThr": float, + "mt": float, + "Qmt": float, + "ktThr": float, + "MZ": float, + "MW": float, + "GF": float, + "SIN2TW": float, + "TMC": _bytes_to_bool, + "MP": float, + "global_nx": int, + "EScaleVar": _bytes_to_bool, + }, + ), } +def _check_required_sections(res, lineno): + """Check that we have found all the required sections by the time we + reach 'FastKernel'""" + for section in _KNOWN_SEGMENTS: + if section not in res: + raise BadFKTableError( + f"{section} must come before 'FastKernel' section at {lineno}" + ) + def parse_fktable(f): line_and_stream = enumerate(f, start=1) res = {} @@ -167,19 +236,14 @@ def parse_fktable(f): while True: marker, header_name = _parse_header(lineno, header) if header_name == "FastKernel": - try: - gi = res["GridInfo"] - except KeyError: - raise BadFKTableError( - "'GridInfo' section must come before 'FastKernel' section " - f"at {lineno}" - ) from None - res["FastKernel"] = ( - _parse_hadronic_fast_kernel(f) - if gi.hadronic - else _parse_dis_fast_kernel(f) + _check_required_sections(res, lineno) + Q0 = res['TheoryInfo']['Q0'] + sigma = _build_sigma(lineno, f, res) + hadronic = res['GridInfo'].hadronic + xgrid = res.pop('xGrid') + return FKTableData( + sigma=sigma, Q0=Q0, metadata=res, hadronic=hadronic, xgrid=xgrid ) - return res elif header_name in _KNOWN_SEGMENTS: parser = _KNOWN_SEGMENTS[header_name] elif marker == b'{': From 2b6b2422ab8a7e529e22df3ced7e2eb084450c9a Mon Sep 17 00:00:00 2001 From: Zahari Date: Thu, 21 Mar 2019 19:25:50 +0000 Subject: [PATCH 383/429] Add dataclasses dependency for python 3.6 --- conda-recipe/meta.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/conda-recipe/meta.yaml b/conda-recipe/meta.yaml index 935a993d78..e7c009c9a0 100644 --- a/conda-recipe/meta.yaml +++ b/conda-recipe/meta.yaml @@ -38,6 +38,7 @@ requirements: - pandas =0.23 - requests - prompt_toolkit =2 + - dataclasses # [py==36] test: requires: From b935b18797c7c587a6b32b8418be1640105a88ef Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 26 Mar 2019 17:19:54 +0000 Subject: [PATCH 384/429] Add support for cfactors Add some lower level functionality to parse the files, which could be useful if we e.g. did something with the Monte Carlo uncertainty. At high level, all the cfactors simply multiply the fktable. --- validphys2/src/validphys/fkparser.py | 71 +++++++++++++++++++++++++--- 1 file changed, 64 insertions(+), 7 deletions(-) diff --git a/validphys2/src/validphys/fkparser.py b/validphys2/src/validphys/fkparser.py index 3b7d832977..7837441b2e 100644 --- a/validphys2/src/validphys/fkparser.py +++ b/validphys2/src/validphys/fkparser.py @@ -1,7 +1,7 @@ """ fkparser.py -Parse FKtables into useful datastructures +Parse FKtables and CFactors into useful datastructures. """ import io import functools @@ -23,18 +23,45 @@ class GridInfo: class FKTableData: hadronic: bool Q0: float + ndata: int xgrid: np.array sigma: pd.DataFrame metadata: dict = dataclasses.field(default_factory=dict, repr=False) +@dataclasses.dataclass(eq=False) +class CFactorData: + description: str + central_value: np.array + uncertainty: np.array + +class BadCFactorError(Exception): + """Exception raised when an CFactor cannot be parsed correctly""" + + class BadFKTableError(Exception): """Exception raised when an FKTable cannot be parsed correctly""" def load_fktable(spec): - """Load the data corresponding to a FKSpec object""" + """Load the data corresponding to a FKSpec object. The cfactors + will be applied to the grid.""" with open_fkpath(spec.fkpath) as handle: - return parse_fktable(handle) - + tabledata = parse_fktable(handle) + if not spec.cfactors: + return tabledata + + ndata = tabledata.ndata + cfprod = np.ones(ndata) + for cf in spec.cfactors: + with open(cf, "rb") as f: + cfdata = parse_cfactor(f) + if len(cfdata.central_value) != ndata: + raise BadCFactorError( + "Length of cfactor data does not match the length of the fktable." + ) + cfprod *= cfdata.central_value + # TODO: Find a way to do this in place + tabledata.sigma = tabledata.sigma.multiply(pd.Series(cfprod), axis=0, level=0) + return tabledata def _get_compressed_buffer(path): archive = tarfile.open(path) @@ -240,9 +267,15 @@ def parse_fktable(f): Q0 = res['TheoryInfo']['Q0'] sigma = _build_sigma(lineno, f, res) hadronic = res['GridInfo'].hadronic + ndata = res['GridInfo'].ndata xgrid = res.pop('xGrid') return FKTableData( - sigma=sigma, Q0=Q0, metadata=res, hadronic=hadronic, xgrid=xgrid + sigma=sigma, + ndata=ndata, + Q0=Q0, + metadata=res, + hadronic=hadronic, + xgrid=xgrid, ) elif header_name in _KNOWN_SEGMENTS: parser = _KNOWN_SEGMENTS[header_name] @@ -255,6 +288,30 @@ def parse_fktable(f): try: out, lineno, header = parser(line_and_stream) except Exception as e: - #Note that the old lineno is the one we want - raise BadFKTableError(f"Failed processing header {header_name} on line {lineno}") from e + # Note that the old lineno is the one we want + raise BadFKTableError( + f"Failed processing header {header_name} on line {lineno}" + ) from e res[header_name] = out + + +def parse_cfactor(f): + """Parse an open byte stream into a ``CFactorData""" + stars = f.readline() + if not stars.startswith(b'*'): + raise BadCFactorError("First line should start with '*'.") + descbytes = io.BytesIO() + for line in f: + if line.startswith(b'*'): + break + descbytes.write(line) + description = descbytes.getvalue().decode() + try: + data = np.loadtxt(f) + except Exception as e: + raise BadCFactorError(e) from e + central_value = data[:, 0] + uncertainty = data[:, 1] + return CFactorData( + description=description, central_value=central_value, uncertainty=uncertainty + ) From 7284452a70ab2e4feda735de7b4736cc8c22fe5a Mon Sep 17 00:00:00 2001 From: Zahari Date: Tue, 26 Mar 2019 17:58:34 +0000 Subject: [PATCH 385/429] Add some documentation --- validphys2/src/validphys/fkparser.py | 69 +++++++++++++++++++++++++++- 1 file changed, 67 insertions(+), 2 deletions(-) diff --git a/validphys2/src/validphys/fkparser.py b/validphys2/src/validphys/fkparser.py index 7837441b2e..14b20ff325 100644 --- a/validphys2/src/validphys/fkparser.py +++ b/validphys2/src/validphys/fkparser.py @@ -1,7 +1,19 @@ """ fkparser.py -Parse FKtables and CFactors into useful datastructures. +Parse FKtables and CFactors into useful datastructures. This module include +some functionality to process FKTables and cfactors. Most users will be +interested in using the high level interface ``loaf_fktable``. Given an +``FKTableSpec``, it returns an instance of ``FHTableData``, an object with the +required information to compute a convolution, with the CFactors applied. + +.. code-block:: python + + from validphys.fkparser import load_fktable + from validphys.loader import Loader + l = Loader() + fk = l.check_fktable(setname="ATLASTTBARTOT", theoryID=53, cfac=('QCD',)) + res = load_fktable(fk) """ import io import functools @@ -14,6 +26,7 @@ @dataclasses.dataclass(frozen=True) class GridInfo: + """Class containig the basic properties of an FKTable grid.""" setname: str hadronic: bool ndata: int @@ -21,6 +34,39 @@ class GridInfo: @dataclasses.dataclass(eq=False) class FKTableData: + """ + Data contained in an FKTable + + Parameters + ---------- + + hadronic : bool + Whether an hadronic (two PDFs) or a DIS (one PDF) convolution is needed. + + Q0 : float + The scale at which the PDFs should be evaluated (in GeV). + + ndata : int + The number of data points in the grid. + + xgrid : array, shape (nx) + The points in x at which the PDFs should be evaluated. + + sigma : DataFrame + For hadronic data, the columns are the indexes in the ``NfxNf`` list of + possible flavour combinations of two PDFs. The MultiIndex contains + three keys, the data index, an index into ``xgrid`` for the first PDF + and an idex into ``xgrid`` for the second PDF, indicatinf the points in + ``x`` where the PDF should be evaluated. + + For DIS data, the columns are indexes in the ``Nf`` list of flavours. + The MultiIndex contains two keys, the data index and an index into + ``xgrid`` indicating the points in ``x`` where the PDF should be + evaluated. + + metadata : dict + Other information contained in the FKTable. + """ hadronic: bool Q0: float ndata: int @@ -30,6 +76,22 @@ class FKTableData: @dataclasses.dataclass(eq=False) class CFactorData: + """ + Data contained in a CFactor + + Parameters + ---------- + + description : str + Information on how the data was obtained. + + central_value : array, shape(ndata) + The value of the cfactor for each data point. + + uncertainty : array, shape(ndata) + The absolute uncerainty on the cfactor if available. Otherwise a list + of zeros. + """ description: str central_value: np.array uncertainty: np.array @@ -257,6 +319,8 @@ def _check_required_sections(res, lineno): ) def parse_fktable(f): + """Parse an open byte stream into an FKTableData. Raise a BaadFKTableError + if problems are encountered.""" line_and_stream = enumerate(f, start=1) res = {} lineno, header = next(line_and_stream) @@ -296,7 +360,8 @@ def parse_fktable(f): def parse_cfactor(f): - """Parse an open byte stream into a ``CFactorData""" + """Parse an open byte stream into a ``CFactorData``. Raise a + BadCFactorError if problems are encontered.""" stars = f.readline() if not stars.startswith(b'*'): raise BadCFactorError("First line should start with '*'.") From cf0a7f2b3f07d98a66e1c0a1626e268b2624439e Mon Sep 17 00:00:00 2001 From: juacrumar Date: Fri, 17 May 2019 09:56:38 +0200 Subject: [PATCH 386/429] first commit of the n3fit fitting code --- n3fit/HyperAlgorithm.py | 461 +++++++++++++ n3fit/HyperScanner.py | 210 ++++++ n3fit/ModelTrainer.py | 529 +++++++++++++++ n3fit/backends/__init__.py | 10 + n3fit/backends/keras_backend/MetaLayer.py | 170 +++++ n3fit/backends/keras_backend/MetaModel.py | 103 +++ n3fit/backends/keras_backend/__init__.py | 0 n3fit/backends/keras_backend/base_layers.py | 62 ++ n3fit/backends/keras_backend/debug_mode.py | 38 ++ n3fit/backends/keras_backend/losses.py | 24 + n3fit/backends/keras_backend/operations.py | 111 ++++ n3fit/constrains.py | 158 +++++ n3fit/create_testset.py | 106 +++ n3fit/evolven3fit/evolven3fit.cc | 106 +++ n3fit/evolven3fit/makefile | 19 + n3fit/evolven3fit/version.h | 1 + n3fit/filetrials.py | 54 ++ n3fit/fit.py | 256 ++++++++ n3fit/layers/DIS.py | 20 + n3fit/layers/DY.py | 39 ++ n3fit/layers/Integration.py | 106 +++ n3fit/layers/Mask.py | 25 + n3fit/layers/Observable.py | 43 ++ n3fit/layers/Preprocessing.py | 89 +++ n3fit/layers/__init__.py | 7 + n3fit/model_gen.py | 221 +++++++ n3fit/n3fit.py | 180 +++++ n3fit/plotting.py | 691 ++++++++++++++++++++ n3fit/reader.py | 256 ++++++++ n3fit/readme.md | 280 ++++++++ n3fit/runcards/Basic_runcard.yml | 149 +++++ n3fit/runcards/PN3_DIS_example.yml | 179 +++++ n3fit/runcards/PN3_Global_example.yml | 265 ++++++++ n3fit/statistics.py | 308 +++++++++ n3fit/writer.py | 104 +++ 35 files changed, 5380 insertions(+) create mode 100644 n3fit/HyperAlgorithm.py create mode 100644 n3fit/HyperScanner.py create mode 100644 n3fit/ModelTrainer.py create mode 100644 n3fit/backends/__init__.py create mode 100644 n3fit/backends/keras_backend/MetaLayer.py create mode 100644 n3fit/backends/keras_backend/MetaModel.py create mode 100644 n3fit/backends/keras_backend/__init__.py create mode 100644 n3fit/backends/keras_backend/base_layers.py create mode 100644 n3fit/backends/keras_backend/debug_mode.py create mode 100644 n3fit/backends/keras_backend/losses.py create mode 100644 n3fit/backends/keras_backend/operations.py create mode 100644 n3fit/constrains.py create mode 100644 n3fit/create_testset.py create mode 100644 n3fit/evolven3fit/evolven3fit.cc create mode 100644 n3fit/evolven3fit/makefile create mode 100644 n3fit/evolven3fit/version.h create mode 100644 n3fit/filetrials.py create mode 100644 n3fit/fit.py create mode 100644 n3fit/layers/DIS.py create mode 100644 n3fit/layers/DY.py create mode 100644 n3fit/layers/Integration.py create mode 100644 n3fit/layers/Mask.py create mode 100644 n3fit/layers/Observable.py create mode 100644 n3fit/layers/Preprocessing.py create mode 100644 n3fit/layers/__init__.py create mode 100644 n3fit/model_gen.py create mode 100755 n3fit/n3fit.py create mode 100755 n3fit/plotting.py create mode 100644 n3fit/reader.py create mode 100644 n3fit/readme.md create mode 100644 n3fit/runcards/Basic_runcard.yml create mode 100644 n3fit/runcards/PN3_DIS_example.yml create mode 100644 n3fit/runcards/PN3_Global_example.yml create mode 100644 n3fit/statistics.py create mode 100644 n3fit/writer.py diff --git a/n3fit/HyperAlgorithm.py b/n3fit/HyperAlgorithm.py new file mode 100644 index 0000000000..e09e14a5a0 --- /dev/null +++ b/n3fit/HyperAlgorithm.py @@ -0,0 +1,461 @@ +import itertools +import numpy as np +from pdb import set_trace + + +class HyperAlgorithm(): + + def __init__(self, key_info, verbose = True, k_good = 'good', k_loss = 'loss', + threshold_reward = 0.0, fail_threshold = 75, how_many_to_kill = 2, remove_by_key = False): + """ + key_info: dictionary of {'keyname' : [list,of,possible,values]} + """ + + self.key_info = key_info + + self.k_good = k_good + self.k_loss = k_loss + + self.verbose = verbose + self.remove_by_key = remove_by_key + + self.threshold_reward = threshold_reward + self.failing_reward = -100 + self.fail_threshold = fail_threshold + + self.how_many_to_kill = how_many_to_kill + + # Some variables are not discrete, find them + update_dict = {} + for key, values in key_info.items(): + try: # Remove nan if there are + np_values = np.array(values) + np_values = np_values[~np.isnan(np_values)] + except: + np_values = values + l = len(np_values) + if l > 10: # break it into five chuncks + np_values.sort() + new_vals = [] + step = int(l/5) + for i in range(0, l-step, step): + ini = np_values[i] + fin = np_values[i+step] + new_vals.append( (ini, fin) ) + update_dict[key] = new_vals + key_info.update(update_dict) + + self.continuous = update_dict + self.biggest_total = 1 + self.perfect_reward = 100.0 + + + def __dataframe_killer(self, dataframe, hit_list): + """ + Remove from the dataframe all entries included in the hit_list + """ + if not hit_list: + return dataframe + indices_to_remove = hit_list[0]['slice'].index + for victim in hit_list[1:]: + indices_to_remove = indices_to_remove.append(victim['slice'].index) + indices_to_drop = indices_to_remove.drop_duplicates() + return dataframe.drop( indices_to_drop ) + + def __verbose_elimination(self, md, printout = True): + """ + Show a log of everything that is being eliminated + if there is only one item in the dictionary, it also removes it from the combination list just to avoid looking at useless combinations + """ + combination = md['combination'] + str_list = [] + for key, item in combination.items(): + str_list.append( "{0}={1}".format(key, item) ) + reward = md['reward'] + if printout: + self.__print("Removing: {0}\n reward: {1:.5f}".format( '\n '.join(str_list), reward)) + + def __print(self, string, **kwargs): + if self.verbose: + print(string, **kwargs) + + def __compute_reward(self, md): + """ + Computes a reward function from the information we have + """ + frate = md['f_rate'] + ngood = md['n_good'] + ntotal = md['n_total'] + # If the fail rate is greater than 75%, kill it + if frate > self.fail_threshold: + return self.failing_reward + dstd = md['median'] - md['best_loss'] + rate_good = ngood/ntotal*100.0 + + # The reward can be negative + reward = (50.0 - frate)/100.0 + reward -= dstd/rate_good # the less spread the better + # Finally scale it with the total number of points + weight_points = 1.0 + ntotal/self.biggest_total + reward *= weight_points + + return reward + + def print_ranges(self, dataframe, keys = None, dataframe_original = None): + """ + Receives a dataframe and a number of keys and prints the surviving keys and ranges + + If dataframe_original is given, will also print (for discrete values) how many of each have survived from the total + """ + # First get the keys we are printing + keys = self.key_info.keys() + + # Now compute all rewards + key_rewards = {} + for key in keys: + combinations = self.get_combinations(1, single_key = key) + key_rewards[key] = [] + for combination in combinations: + md = self.study_combination(dataframe, combination) + key_rewards[key].append(md) + + if dataframe_original is None: + prev = "" + else: + prev = "of {0}".format(len(dataframe_original)) + print("The total number of survivors is {0} {1}".format(len(dataframe), prev)) + + # Now do the printing + for key, results in key_rewards.items(): + print("For key: {0}".format(key)) + list_str = [] + results.sort( key = lambda i: -i['reward'] ) + for md in results: + val = md['combination'][key] + reward = md['reward'] + list_str.append( " Reward: {1:.3f}: {0} ".format(val, reward) ) + print("\n".join(list_str)) + return + + + + + + for key in keys: + df_slice = dataframe[key] + values = set(df_slice) + if len(values) > 5: + ini = df_slice.min() + fin = df_slice.max() + string = " range: ({0}, {1}) ".format(ini, fin) + else: + if dataframe_original is not None: + originals = dataframe_original[key].value_counts() + news = df_slice.value_counts() + string = " values: " + for val in values: + string += "{0} ({1}/{2} {3:2.0f}%), ".format(val, news[val], originals[val], news[val]/originals[val]*100.0 ) + string = string[:-2] + else: + string = " values: {0}".format(values) + + + self.__print("Key: {0}\n > {1}".format(key, string)) + + + def __process_slice(self, df_slice): + """ Function to process a slice into a dictionary with interesting stats + If the slice is None it means the combination does not apply + """ + if df_slice is None: + md = {'skip' : True} + return md + else: + md = {'skip' : False} + + good = df_slice[ df_slice[ self.k_good ] ] + md['n_total'] = len(df_slice) + md['n_good'] = len(good) + if md['n_good'] > self.biggest_total: + self.biggest_total = md['n_good'] + md['n_failed'] = md['n_total'] - md['n_good'] + if md['n_total'] == 0: + md['skip'] = True + return md + else: + f_rate = md['n_failed']/md['n_total']*100 + md['f_rate'] = f_rate + # Compute for each the best loss (among the good ones) and the std dev + good_losses = good[ self.k_loss ] + md['best_loss'] = good_losses.min() + md['std'] = good_losses.std() + md['median'] = good_losses.median() + md['reward'] = self.__compute_reward(md) + return md + + def get_slice(self, dataframe, keys_info): + """ + Returns a slice of the dataframe where some keys match some values + keys_info must be a dictionary {key1 : value1, key2, value2 ...} + """ + df_slice = dataframe + check = False + for key, value in keys_info.items(): + # First check whether for this slice the values for this key are something different from NaN + key_column = df_slice[key] + if len(key_column.dropna()) == 0 and len(key_column) != 0: + return None + if key in self.continuous.keys(): + minim = value[0] + maxim = value[1] + df_slice = df_slice[ key_column >= minim ] + df_slice = df_slice[ key_column <= maxim ] + else: + df_slice = df_slice[ key_column == value ] + return df_slice + + def get_combinations(self, n, key_info = None, single_key = None): + """ + Get all combinations of n elements for the keys and values given in the dictionary key_info: + { 'key' : [possible values] }, if key_info is None, the dictionary used to initialize the class will be used + + Returns a list of dictionaries such that: + [ + {'key1' : val1-1, 'key2', val2-1 ... }, + {'key1' : val1-2, 'key2', val2-1 ... }, + ... + ] + """ + if key_info is None: + key_info = self.key_info + if len(key_info) < n: + return [] + + if single_key: + single_options = key_info[single_key] + key_info = {single_key : single_options} + + key_combinations = itertools.combinations(key_info, n) + all_combinations = [] + for keys in key_combinations: + list_of_items = [ key_info[key] for key in keys ] + # list_of_items is a list of possible values: [ (val1-1, val1-2, val1-3...), (val2-1, val2-2...) ... ] + items_combinations = itertools.product( *list_of_items ) + for values in items_combinations: + nd = dict(zip(keys, values)) + all_combinations.append(nd) + + return all_combinations + + def study_combination(self, dataframe, combination): + """ + Given a dataframe and a dictionary of {key1 : value1, key2: value2} + returns a dictionary with a number of stats for that combination + """ + df_slice = self.get_slice(dataframe, combination) + # If the combination does not applies (i.e., NaN) just skip it + md = self.__process_slice(df_slice) + md['slice'] = df_slice + md['combination'] = combination + return md + + def __sort_to_survive(self, info_dict, how_many_to_save): + """ + Receives a list of dictionaries with an entry called reward, returns the + 'n' best + """ + sorted_by_reward = sorted(info_dict, key = lambda i: i['reward']) + sorted_by_reward.reverse() + # Everyone with perfect reward is saved + save_list = [] + for i in sorted_by_reward: + if how_many_to_save == 0: + break + if i['reward'] == self.perfect_reward: + save_list.append(i) + else: + save_list.append(i) + how_many_to_save -= 1 + return save_list + + def __sort_to_kill(self, info_dict, by_key = False, how_many_to_kill = None): + """ + Receives a list of dictionaries with an entry called reward, returns the + 'n' worst ones. + If by key is True, returns the 'n' worst for each set of keys + """ + if how_many_to_kill is None: + how_many_to_kill = self.how_many_to_kill + if by_key: + list_by_key = {} + for md in info_dict: + keys = md['keys'] + if keys in list_by_key.keys(): + list_by_key[keys].append(md) + else: + list_by_key[keys] = [md] + hit_list = [] + for _, items in list_by_key.items(): + hit_list += self.__sort_to_kill(items) + else: + sorted_by_reward = sorted(info_dict, key = lambda i: i['reward']) + hit_list = sorted_by_reward[:how_many_to_kill] + return hit_list + + def remove_failing(self, dataframe, n_combinations = 1, key = None, fail_threshold = None, verbose = True): + """ + Remove entries with failing reward from the dataframe + """ + if fail_threshold is None: + set_fail_threshold = self.failing_reward + elif fail_threshold == 'median': + set_fail_threshold = 100 + else: + set_fail_threshold = fail_threshold + combinations = self.get_combinations(n_combinations, single_key = key) + hit_list = [] + all_combinations = [] + + for combination in combinations: + md = self.study_combination(dataframe, combination) + if md['skip']: + continue + reward = md['reward'] + if fail_threshold == 'median': + all_combinations.append(md) + elif reward <= set_fail_threshold: + hit_list.append(md) + + if fail_threshold == 'median': + sorted_by_reward = sorted(all_combinations, key = lambda i: i['reward']) + # do like thanos + half = int(len(sorted_by_reward)/2) + hit_list = sorted_by_reward[:half] + + new_dataframe = self.__dataframe_killer(dataframe, hit_list) + if verbose: + for i in hit_list: + print("Eliminated {0} with reward: {1}".format(i['combination'], i['reward'])) + return new_dataframe + + def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, key = None, verbose = False, kill_threshold = None): + """ + It starts killing the entry with the worst reward and won't stop until all remaining entries + for the given number of combinations, have a positive reward + """ + if kill_threshold is None: + set_kill_threshold = self.threshold_reward + elif kill_threshold is "median": + set_kill_threshold = 100 # ensures that someone dies here + else: + set_kill_threshold = kill_threshold + + # 1 - Get combinations + combinations = self.get_combinations(n_combinations, single_key = key) + # 2 - Run through all possible combinations and kill the weakest one + worst_reward = 1e5 + victim = None + all_combinations = [] + for combination in combinations: + md = self.study_combination(dataframe, combination) + if md['skip']: + continue + all_combinations.append(md) + reward = md['reward'] + if reward < worst_reward and reward <= set_kill_threshold: + victim = md + worst_reward = reward + if verbose: + all_combinations.sort( key = lambda i: i['reward'] ) + for i in all_combinations: + print("{0}, {1}".format(i['reward'], i['combination'])) + + if kill_threshold == "median": # Set the median which will be necessary for the rest of the iterations + rewards = [i['reward'] for i in all_combinations] + kill_threshold = np.median(rewards) + print(" > > Killing everything with reward below {0}".format(kill_threshold)) + + if victim is None: + # If there are no points below the reward threshold, go out and return the remaining dataframe + return dataframe + + # 3 - Kill the victim(s) + new_dataframe = self.__dataframe_killer(dataframe, [victim]) + self.__verbose_elimination(victim) + + # 4 - Keep on murdering + return self.check_wrapper_weaklings_killer(new_dataframe, n_combinations, key = key, kill_threshold = kill_threshold) + + def check_wrapper(self, dataframe, n_combinations, kill = False, save_n_best = None): + """ + Input a dataframe and the number of possible combinations and prints out nice statistics + """ + + def get_str(comb, md): + key_strs = ["{0}={1}".format(key, item) for key,item in comb.items()] + comb_str = ", ".join(key_strs) + f_rate = md['f_rate'] + reward = md['reward'] + n_trials = md['n_total'] + failure_str = "Fail: {0:2.3f}% Reward: {2:0.3f} ({1:3d} trials)".format(f_rate, n_trials, reward) + return comb_str, failure_str, f_rate + + self.__print("\n > Check combinations of {0} keys".format(n_combinations)) + + # 1 - Get all possible combinations of the keys + combinations = self.get_combinations(n_combinations) + lines_to_print = [] + siz = 0 + # 2 - Now run for all possible combinations and parse the information + hit_list = [] + info_dict = [] + for combination in combinations: + md = self.study_combination(dataframe, combination) + if md['skip']: + continue + reward = md['reward'] + ntotal = md['n_total'] + if reward <= self.threshold_reward: + # Don't bother with this point, kill it later + hit_list.append(md) + else: + md['keys'] = tuple(sorted((combination.keys()))) + info_dict.append(md) + comb_str, fail_str, f_rate = get_str(combination, md) + if len(comb_str) > siz: + siz = len(comb_str) + lines_to_print.append( (comb_str, fail_str, reward) ) + + # 3 - If kill == true, remove the slices in the hit list + if kill: + # 3.1 - Sort the items by reward and get the 'how_many_to_kill' with the smallest reward + hit_list += self.__sort_to_kill(info_dict, by_key = self.remove_by_key) + print("Removing the worst combinations:") + new_dataframe = self.__dataframe_killer(dataframe, hit_list) + else: + new_dataframe = dataframe + + # 4 - If save_n_best, do the opposite + if save_n_best: + survivors_list = self.__sort_to_survive(info_dict, save_n_best) + # Everyone with a 100.0 reward must survive + indices_to_get = None + for survivor in survivors_list: + if indices_to_get is not None: + indices_to_get = indices_to_get.append(survivor['slice'].index) + else: + indices_to_get = survivor['slice'].index + indices_to_get = indices_to_get.drop_duplicates() + new_dataframe = dataframe.ix[indices_to_get] + + # 5 - Now print all lines, making sure the align nicely + print("\n") + lines_to_print.sort( key = lambda x: x[-1] ) + # If saving only the best X, print only those + if save_n_best: + lines_to_print = lines_to_print[-save_n_best:] + base_line = "{0:" + str(siz) + "s} {1}" + for line in lines_to_print: + self.__print( base_line.format( line[0], line[1] ) ) + + return new_dataframe diff --git a/n3fit/HyperScanner.py b/n3fit/HyperScanner.py new file mode 100644 index 0000000000..55ec565afa --- /dev/null +++ b/n3fit/HyperScanner.py @@ -0,0 +1,210 @@ +import hyperopt as hyper +import numpy as np +import pdb + +from backends import MetaModel, MetaLayer + +class HyperScanner: + """ + The HyperScanner generates a dictionary of parameters for scanning + It takes cares of known correlation between parameters by tying them together + It also provides methods for updating the parameter dictionaries after using hyperopt + + It manages: + stopping + optimizer + positivity + + NN architecture (WIP) + """ + + def __init__(self, parameters): + """ + Takes as input a dictionary of parameters + and saves it + """ + self.parameters = parameters + self.keys = parameters.keys() + self.hyper_keys = set([]) + self.dict_keys = set([]) + + def dict(self): + return self.parameters + + def update_dict(self, newdict): + self.parameters.update(newdict) + # Since some hyperparameters were made in the form of dictionaries, we need to "sviluppare" them + for key in self.dict_keys: + if key in newdict.keys(): + value = newdict[key] + # But this might be a conditional thing and not all of the possible options be dictionaries + if isinstance(value, dict): + self.update_dict(value) + + def _update_param(self, key, value, hyperopt = True, dkeys = []): + if key not in self.keys: + raise Exception("Trying to update a parameter that was not declared in the dictionary: {0}. HyperScanner @ _update_param".format(key)) + if hyperopt: + self.hyper_keys.add(key) + print("Adding the key {0} with the following value: {1}".format(key, value)) + # Add possible extra keys + [self.dict_keys.add(nk) for nk in dkeys] + self.parameters[key] = value + + # Calling the functions below turn parameters of the dictionary into hyperparameter scans + def stopping(self, min_epochs = 5e3, max_epochs = 30e3, min_patience = 0.10, max_patience = 0.3): + """ + Modifies the following entries of the parameter dictionary: + - epochs + - stopping_patience + """ + epochs_key = 'epochs' + stopping_key = 'stopping_patience' + + epoch_step = (max_epochs - min_epochs)/4 + if min_epochs < epoch_step: + epoch_step = min_epochs + + + epochs = hyper.hp.quniform(epochs_key, min_epochs, max_epochs, min_epochs) + stopping_patience = hyper.hp.quniform(stopping_key, min_patience, max_patience, 0.05) + + self._update_param(epochs_key, epochs) + self._update_param(stopping_key, stopping_patience) + + def optimizer(self, names = ['RMSprop'], min_lr = 0.0005, max_lr = 0.5): + # But this might be a conditional thing and not all of the possible options be dictionaries + """ + This function look at the optimizers implemented in MetaModel and adds the learning rate to (only) + those who use it. The special keyword "ALL" will make it use all optimizers implemented + - optimizer + - learning rate + """ + opt_key = 'optimizer' + lr_key = 'learning_rate' + + optimizer_dict = MetaModel.optimizers + choices = [] + + min_lr_exp = np.log(min_lr) + max_lr_exp = np.log(max_lr) + lr_choice = hyper.hp.loguniform(lr_key, min_lr_exp, max_lr_exp) + + if names == 'ALL': + names = optimizer_dict.keys() + + for opt_name in names: + if opt_name not in optimizer_dict.keys(): + # Do we want an early crash or just drop the optimizer silently? We'll see... + raise Exception("HyperScanner: Optimizer {0} not implemented in MetaModel.py".format(opt_name)) + + args = optimizer_dict[opt_name][1] + if 'lr' in args.keys(): + choices.append( { + opt_key: opt_name, + lr_key: lr_choice, + } ) + else: + choices.append(opt_name) + + opt_val = hyper.hp.choice(opt_key, choices) + # Tell the HyperScanner this key might contain a dictionary to store it separately + self._update_param(opt_key, opt_val, dkeys = [opt_key]) + + def positivity(self, min_multiplier = 1.01, max_multiplier = 1.3, min_initial=0.5, max_initial=100): + """ + Modifies + - pos_multiplier + - pos_initial + """ + mul_key = 'pos_multiplier' + if not min_initial and not max_initial: + ini_key = None + else: + ini_key = 'pos_initial' + + mul_val = hyper.hp.uniform(mul_key, min_multiplier, max_multiplier) + self._update_param(mul_key, mul_val) + + if ini_key: + min_initial = np.log(min_initial) + max_initial = np.log(max_initial) + ini_val = hyper.hp.loguniform(ini_key, min_initial, max_initial) + self._update_param(ini_key, ini_val) + + def NN_architecture(self, n_layers = [1, 2, 5], max_units = 50, min_units = 5, activations = ['sigmoid', 'tanh'], initializers = ['glorot_normal'], + layer_types = ['dense'], max_drop = 0.0): + """ + Uses all the given information to generate the parameters for the NN + - nodes_per_layer + - activation_per_layer + - initializer + - layer_type + - dropout + """ + # Do we want to fix or generate dinamically the units? for now let's fix + # there will be time for more sofisticated functions + + act_key = 'activation_per_layer' + nodes_key = 'nodes_per_layer' # the information contained in the variable is indeed the number of nodes per layer e.g. [5,10,30] + # but the information the user will be interested in is how many layers are there... + + # Generate the possible activation choices + act_choices = [] + for afun in activations: + # Just generate an array with as many copies of the str as the maximum number of layers + cop = [afun]*n_layers[-1] + # And append a linear at the end + cop.append('linear') + act_choices.append(cop) + + + nodes_choices = [] + for n in n_layers: + units = [] + for i in range(n): + # We can even play games as lowering the maximum as the number of layers grows + units_label = 'nl{1}:-{0}/{1}'.format(i, n) + units.append(hyper.hp.quniform(units_label, min_units, max_units, 5)) + + # And then the last one is a dense with 8 units + units.append(8) + nodes_choices.append(units) + + act_functions = hyper.hp.choice(act_key, act_choices) + nodes = hyper.hp.choice(nodes_key, nodes_choices) + + + # Now let's select the initializers looking at the ones implemented in MetaLayer + ini_key = 'initializer' + imp_inits = MetaLayer.initializers + imp_init_names = imp_inits.keys() + if initializers == 'ALL': + initializers = imp_init_names + + ini_choices = [] + for ini_name in initializers: + if ini_name not in imp_init_names: + # Do we want an early crash or just drop the optimizer silently? We'll see... + raise Exception("HyperScanner: Initializer {0} not implemented in MetaLayer.py".format(ini_name)) + # For now we are going to use always all initializers and with default values + ini_choices.append(ini_name) + + ini_choice = hyper.hp.choice(ini_key, ini_choices) + + # Finally select the layer types + if layer_types: + layer_key = 'layer_type' + layer_choices = hyper.hp.choice(layer_key, layer_types) + self._update_param(layer_key, layer_choices) + + # And add the dropout parameter + drop_key = 'dropout' + n_drops = 3 + drop_step = max_drop/n_drops + drop_val = hyper.hp.quniform(drop_key, 0.0, max_drop, drop_step) + + self._update_param(act_key, act_functions) + self._update_param(nodes_key, nodes) + self._update_param(ini_key, ini_choice) + self._update_param(drop_key, drop_val) diff --git a/n3fit/ModelTrainer.py b/n3fit/ModelTrainer.py new file mode 100644 index 0000000000..f33e8c48a8 --- /dev/null +++ b/n3fit/ModelTrainer.py @@ -0,0 +1,529 @@ +""" + ModelTrainer Class: + + This class provides a wrapper around the fitting code and the generation of the Neural Network + When the "hyperparametizable"* function is called with a dictionary of parameters, it generates a NN + and subsequentially performs a fit. + + The motivation behind this class is to minimise the amount of redundant calls of each hyperopt run, + in particular this allows to completely reset the NN at the beginning of each iteration reusing some + of the previous work. + + *called in this way because it accept a dictionary of parameters which defines the Neural Network +""" +from backends import MetaModel, clear_backend_state +import model_gen +import constrains +import statistics +from pdb import set_trace + +# If an experiment matches this name, it will not be included int he training +TESTNAME = 'TEST' +# Weights for the hyperopt cost function +test_multiplier = 0.5 +validation_multiplier = 0.5 + +class ModelTrainer: + def __init__(self, exp_info, pos_info, flavinfo, nnseed, + pass_status = 'ok', failed_status = 'fail', + log = None, debug = False): + """ + - exp_info: list of dictionaries containing experiments + - pos_info: list of dictionaries containing positivity sets + - flavinfo: the object returned by fitting['basis'] + - nnseed: the seed used to initialise the Neural Network, will be passed to model_gen + - log: if given, printing will be done to log.info + - debug: flag to activate some debug options + """ + + # Save all input information + self.exp_info = exp_info + self.pos_info = pos_info + self.flavinfo = flavinfo + self.NNseed = nnseed + self.pass_status = pass_status + self.failed_status = failed_status + self.debug = debug + + # Initialise internal variables which define behaviour + self.print_summary = True + self.mode_hyperopt = False + self.model_file = None + self.impose_sumrule = True + + # Set the log_info function + if log: + self.log_info = log.info + else: + self.log_info = print + self.log = log + + # Initialize the pdf layer + self.layer_pdf = None + + # Initialize the dictionaries which contain all fitting information + self.input_list = [] + self.ndata_dict = {} + self.training = { + 'output' : [], + 'expdata' : [], + 'losses' : [], + 'ndata': 0, + 'model' : None, + 'posdatasets' : [] + } + self.validation = { + 'output' : [], + 'expdata' : [], + 'losses' : [], + 'ndata': 0, + 'model' : None, + } + self.experimental = { + 'output' : [], + 'expdata' : [], + 'losses' : [], + 'ndata': 0, + 'model' : None, + } + + self.test_dict = None + self._fill_the_dictionaries() + + if self.validation['ndata'] == 0: + self.no_validation = True + new_dict = {} + for key, item in self.ndata_dict.items(): + if key.endswith("_vl"): continue + new_dict[key + "_vl"] = item + self.ndata_dict.update(new_dict) + self.validation['expdata'] = self.training['expdata'] + else: + self.no_validation = False + + def set_model_file(self, model_file): + """ If a model_file is set the training model will try to get the weights form here """ + self.model_file = model_file + + def set_hyperopt(self, on, keys = []): + """ Set hyperopt options on and off (mostly suppresses some printing) """ + self.hyperkeys = keys + if on: + self.print_summary = False + self.mode_hyperopt = True + else: + self.print_summary = True + self.mode_hyperopt = False + + + ########################################################################## + # # Internal functions + # Never to be called from the dark and cold outside world + ########################################################################## + def _fill_the_dictionaries(self): + """ + This function fills the following dictionaries with fixed information, + - training: data for the fit + - validation: data which for the stopping + - experimental: 'true' data, only used for reporting purposes + - ndata_dict: a dictionary containing 'name of experiment' : Number Of Point + + the fixed information (i.e., non dependant on the parameters of the fit) is: + - experimental data (expdata) + - names of the experiment (name) + - number of experimental points (ndata) + """ + for exp_dict in self.exp_info: + if exp_dict['name'] == TESTNAME: + self.test_dict = { + 'output' : [], + 'expdata' : exp_dict['expdata_true'], + 'losses' : [], + 'ndata' : exp_dict['ndata'] + exp_dict['ndata_vl'], + 'model' : None, + } + continue + self.training['expdata'].append(exp_dict['expdata']) + self.validation['expdata'].append(exp_dict['expdata_vl']) + self.experimental['expdata'].append(exp_dict['expdata_true']) + + nd_tr = exp_dict['ndata'] + nd_vl = exp_dict['ndata_vl'] + + self.ndata_dict[exp_dict['name']] = nd_tr + self.ndata_dict[exp_dict['name'] + "_vl"] = nd_vl + + self.training['ndata'] += nd_tr + self.validation['ndata'] += nd_vl + self.experimental['ndata'] += nd_tr + nd_vl + + for pos_dict in self.pos_info: + self.training['expdata'].append( pos_dict['expdata'] ) + self.ndata_dict[pos_dict['name']] = pos_dict['ndata'] + self.training['posdatasets'].append(pos_dict['name']) + + self.ndata_dict['total_tr'] = self.training['ndata'] + self.ndata_dict['total_vl'] = self.validation['ndata'] + self.ndata_dict['total'] = self.experimental['ndata'] + + def _model_generation(self): + """ + Fills the three dictionaries with the 'model' entry + Note: before entering this function the dictionaries contain a list of inputs + and a list of outputs, but they are not connected. + This function connects inputs with outputs by injecting the PDF + + Compiles the validation and experimental models with fakes optimizers and learning rate + as they are never trained, but this is needed by some backends in order to run evaluate on them + """ + self.log_info("Generating the Model") + + input_list = self.input_list + # Create the training, validation and true (data w/o replica) models: + tr_model = MetaModel(input_list, self._pdf_injection(self.training['output'])) + vl_model = MetaModel(input_list, self._pdf_injection(self.validation['output'])) + true_model = MetaModel(input_list, self._pdf_injection(self.experimental['output'])) + + if self.model_file: + # If a model file is given, load the weights from there + # note: even though the load corresponds to the training model only, the layer_pdf is shared + # and so it should affect all models + tr_model.load_weights(self.model_file) + + if self.print_summary: + tr_model.summary() + + fake_opt = 'RMSprop' + fake_lr = 0.01 + # Compile true and validation with fake lr/optimizer + vl_model.compile( optimizer_name = fake_opt, learning_rate = fake_lr, loss = self.validation['losses']) + true_model.compile( optimizer_name = fake_opt, learning_rate = fake_lr, loss = self.experimental['losses'] ) + + if self.test_dict: + # If a test_dict was given, create and compile also the test model + test_model = MetaModel(input_list, self._pdf_injection(self.test_dict['output'])) + test_model.compile( optimizer_name = fake_opt, learning_rate = fake_lr, loss = self.test_dict['losses'] ) + self.test_dict['model'] = test_model + + self.training['model'] = tr_model + self.validation['model'] = vl_model + self.experimental['model'] = true_model + + + def _reset_observables(self): + """ + Resets the 'output' and 'losses' entries of all 3 dictionaries, + as well as the input_list + this is necessary as these can either depend on the parametrization of the NN + or be obliterated when the backend state is reset + """ + self.input_list = [] + for key in ['output', 'losses']: + self.training[key] = [] + self.validation[key] = [] + self.experimental[key] = [] + if self.test_dict: self.test_dict[key] = [] + + def _pdf_injection(self, olist): + """ + Takes as input a list of output layers and returns a corresponding list + where all output layers call the pdf layer at self.pdf_layer + """ + return [o(self.layer_pdf) for o in olist] + + + ########################################################################### + # # Parametizable functions + # + # The functions defined in this block accept a 'params' dictionary which + # defines the fit and the behaviours of the Neural Networks + # + # These are all called by the function hyperparamizable below + # i.e., the most important function is hyperparametizable, which is a + # wrapper around all of these + ########################################################################### + def _generate_observables(self, params): + """ + This functions fills the 3 dictionaries (training, validation, experimental) + with the output layers and the loss functions + It also fill the list of input tensors (input_list) + + Parameters accepted: + - pos_multiplier: the multiplier to be applied to the positivity + - pos_initial: the initial value for the positivity + """ + + # First reset the dictionaries + self._reset_observables() + self.log_info("Generating layers") + + # two parameters are used here which might go to the hyperopt + pos_multiplier = params['pos_multiplier'] # how much to increase the positivity penalty each 100 epochs + pos_initial = params['pos_initial'] + + # Now we need to loop over all dictionaries (First exp_info, then pos_info) + for exp_dict in self.exp_info: + if not self.mode_hyperopt: + self.log_info("Generating layers for experiment {0}".format(exp_dict['name'])) + + exp_layer = model_gen.observable_generator(exp_dict) + + # Save the input(s) corresponding to this experiment + self.input_list += exp_layer['inputs'] + + if exp_dict['name'] == TESTNAME and self.test_dict: + # If this is the test set, fill the dictionary and stop here + self.test_dict['output'].append( exp_layer['output'] ) + self.test_dict['losses'].append( exp_layer['loss'] ) + continue + + # Now save the observable layer, the losses and the experimental data + self.training['output'].append( exp_layer['output_tr'] ) + self.validation['output'].append( exp_layer['output_vl'] ) + self.experimental['output'].append( exp_layer['output'] ) + + self.training['losses'].append( exp_layer['loss_tr'] ) + self.validation['losses'].append( exp_layer['loss_vl'] ) + self.experimental['losses'].append( exp_layer['loss'] ) + + # Finally generate the positivity penalty + for pos_dict in self.pos_info: + if not self.mode_hyperopt: + self.log_info("Generating positivity penalty for {0}".format(pos_dict['name'])) + pos_layer = model_gen.observable_generator(pos_dict, + positivity_initial = pos_initial, positivity_multiplier = pos_multiplier + ) + # The input list is still common + self.input_list += pos_layer['inputs'] + + # The positivity all falls to the training + self.training['output'].append( pos_layer['output_tr'] ) + self.training['losses'].append( pos_layer['loss_tr'] ) + # Save the positivity multiplier into the training dictionary as it will be used during training + self.training['pos_multiplier'] = pos_multiplier + + # If there is no validation, overwrite the values of validation with the values of training +# if self.no_validation: +# self.validation['losses'] = self.training['losses'] +# self.validation['output'] = self.training['output'] + + + def _generate_pdf(self, params): + """ + Defines the internal variable layer_pdf + this layer takes any input (x) and returns the pdf value for that x + + if the sumrule is being imposed, it also updates input_list with the + integrator_input tensor used to calculate the sumrule + + Returns: (layers, integrator_input) + layers: a list of layers + integrator_input: input used to compute the sumrule + both are being used at the moment for reporting purposes at the end of the fit + + Parameters accepted: + - nodes_per_layer + - activation_per_layer + - initializer + - layer_type + - dropout + """ + self.log_info("Generating PDF layer") + + # Set the parameters of the NN + nodes_per_layer = params['nodes_per_layer'] + activation_per_layer = params['activation_per_layer'] + initializer = params['initializer'] + layer_type = params['layer_type'] + dropout = params['dropout'] + + # Generate the NN layers + layer_pdf, layers = model_gen.pdfNN_layer_generator( + nodes = nodes_per_layer, activations = activation_per_layer, layer_type = layer_type, + flav_info = self.flavinfo, seed = self.NNseed, initializer_name = initializer, dropout = dropout + ) + + integrator_input = None + if self.impose_sumrule: + # Impose the sumrule + # Inyect here momentum sum rule, effecively modifying layer_pdf + layer_pdf, integrator_input = constrains.msr_impose(layers['fitbasis'], layer_pdf) + self.input_list.append(integrator_input) + + self.layer_pdf = layer_pdf + + return layers, integrator_input + + def _model_compilation(self, params): + """ + Compiles the model with the data given in params + + Parameters accepted: + - learning_rate + - optimizer + """ + training_model = self.training['model'] + loss_list = self.training['losses'] + + # Before compilation, set all parameters as given in the params dictionary + learning_rate = params['learning_rate'] + # Choose the optimizer, compile the net and print summary + opt_name = params['optimizer'] + + training_model.compile( + optimizer_name = opt_name, learning_rate = learning_rate, loss = loss_list + ) + + + def _train_and_fit(self, validation_object, epochs): + """ + Trains the NN for the number of epochs given using + validation_object as the stopping criteria + + Every 100 epochs the positivitiy will be updated with + self.training['pos_multiplier'] + """ + training_model = self.training['model'] + exp_list = self.training['expdata'] + pos_multiplier = self.training['pos_multiplier'] + # Train the model for the number of epochs given + for epoch in range(epochs): + out = training_model.fit( + x = None, y = exp_list, epochs = 1, verbose=False, shuffle=False + ) + passes = validation_object.monitor_chi2(out, epoch) + + if validation_object.stop_here(): + break + + if (epoch+1)%100 == 0: + for pos_ds in self.training['posdatasets']: + name = pos_ds + curr_w = training_model.get_layer(name).get_weights() + new_w = [curr_w[0]*pos_multiplier] + training_model.get_layer(name).set_weights(new_w) + + # Report a "good" training only if there was no NaNs and there was at least a point which passed positivity + if passes and validation_object.positivity: + return self.pass_status + else: + return self.failed_status + + def _hyperopt_override(self, params): + # I love the smell of napalm in the morning + for key in self.hyperkeys: + item = params[key] + if isinstance(item, dict): + for key, value in item.items(): + params[key] = value + + def hyperparametizable(self, params): + """ + Wrapper around all the functions defining the fit + + This is a necessary step for hyperopt to work + + Parameters used here: + - epochs: maximum number of iterations for the fit to run + - stopping_patience: patience of the stopper after finding a new minimum + """ + + # Reset the internal state of the backend + print("") + clear_backend_state(self.debug) + + # When doing hyperopt some entries in the params dictionary can bring with them overriding arguments + if self.mode_hyperopt: + self.log_info("Performing hyperparameter scan") + for key in self.hyperkeys: + self.log_info(" > > Testing {0} = {1}".format(key, params[key])) + self._hyperopt_override(params) + + # Fill the 3 dictionaries (training, validation, experimental) with the layers and losses + self._generate_observables(params) + + # Generate the pdf layer + layers, integrator_input = self._generate_pdf(params) + + # Model generation + self._model_generation() + + # Generate the validation_object + # this object golds statistical information about the fit and it can be used to perform stopping + epochs = int(params['epochs']) + stopping_patience = params['stopping_patience'] + stopping_epochs = epochs*stopping_patience + + # If the tr/vl splitting is == 1, there will be no points in the validation so we should use the training as the splitting + if self.no_validation: + validation_object = statistics.Stat_Info(self.training['model'], self.training['expdata'], self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs) + else: + validation_object = statistics.Stat_Info(self.validation['model'], self.validation['expdata'], self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs) + + # Compile the training['model'] with the given parameters + self._model_compilation(params) + + + ### Training loop + passed = self._train_and_fit(validation_object, epochs) + + # After training has completed, reload the best_model found during training + validation_object.reload_model() + + # Compute validation loss + validation_loss = validation_object.loss() + + # Compute experimental loss + exp_final = self.experimental['model'].evaluate( x = None, y = self.experimental['expdata'], batch_size = 1 ) + try: + experimental_loss = exp_final[0] / self.experimental['ndata'] + except IndexError: + experimental_loss = exp_final / self.experimental['ndata'] + + # Compute the testing loss if it was given + if self.test_dict: + # Generate the 'true' chi2 with the experimental model but only for models that were stopped + target_model = self.test_dict['model'] + target_data = self.test_dict['expdata'] + out_final = target_model.evaluate( x = None, y = target_data, verbose = False, batch_size = 1) + try: + testing_loss = out_final[0] / self.test_dict['ndata'] + except IndexError: + testing_loss = out_final / self.test_dict['ndata'] + else: + testing_loss = 0.0 + + if self.mode_hyperopt: + final_loss = validation_multiplier*validation_loss + final_loss += test_multiplier*testing_loss + final_loss /= (test_multiplier + validation_multiplier) + arc_lengths = constrains.compute_arclength(layers['fitbasis'], verbose = False) + else: + final_loss = experimental_loss + arc_lengths = None + + dict_out = { + 'loss' : final_loss, + 'status' : passed, + 'arc_lengths' : arc_lengths, + 'training_loss' : validation_object.tr_loss(), + 'validation_loss' : validation_loss, + 'experimental_loss' : experimental_loss, + 'testing_loss' : testing_loss, + } + + if self.mode_hyperopt: + # If we are using hyperopt we don't need to output any other information + return dict_out + + # Add to the output dictionary things that are needed by fit.py + # to generate the output pdf, check the arc-length, gather stats, etc + # some of them are already attributes of the class so they are redundant here + # but I think it's good to present them explicitly + dict_out['layer_pdf'] = self.layer_pdf + dict_out['layers'] = layers + dict_out['integrator_input'] = integrator_input + dict_out['validation_object'] = validation_object + dict_out['training'] = self.training + + return dict_out diff --git a/n3fit/backends/__init__.py b/n3fit/backends/__init__.py new file mode 100644 index 0000000000..08e5a27605 --- /dev/null +++ b/n3fit/backends/__init__.py @@ -0,0 +1,10 @@ +print("Using Keras backend") + +from backends.keras_backend.debug_mode import set_initial_state, clear_backend_state +from backends.keras_backend.MetaLayer import MetaLayer +from backends.keras_backend.MetaModel import MetaModel +from backends.keras_backend.base_layers import concatenate, Lambda, base_layer_selector +from backends.keras_backend import losses +from backends.keras_backend import operations + + diff --git a/n3fit/backends/keras_backend/MetaLayer.py b/n3fit/backends/keras_backend/MetaLayer.py new file mode 100644 index 0000000000..2b166b7729 --- /dev/null +++ b/n3fit/backends/keras_backend/MetaLayer.py @@ -0,0 +1,170 @@ +""" + The class MetaLayer is an extension of the backend Layer class + with a number of methods and helpers to facilitate writing new custom layers + in such a way that the new custom layer don't need to rely in anything backend-dependent + + In other words, if you want to implement a new layer and need functions not included in this + MetaLayer it is better to add a new method which is just a call to the relevant backend-dependent function + For instance: np_to_tensor is just a call to K.constant +""" + + +from keras import backend as K + +from keras.engine.topology import Layer + +from keras.initializers import Constant, RandomUniform, glorot_normal, glorot_uniform + +from keras.constraints import MinMaxNorm + +from keras.layers import Input + +import numpy as np + + +class MetaLayer(Layer): + """ + This metalayer function must contain all backend-dependent functions + """ + + # Define in this dictionary new initializers as well as the arguments they accept (with default values if needed be) + initializers = { + 'random_uniform' : (RandomUniform, {'minval':-0.5, 'maxval':0.5}), + 'glorot_uniform' : (glorot_uniform, {}), + 'glorot_normal' : (glorot_normal, {}), + } + + # Building function + def builder_helper(self, name, kernel_shape, initializer, trainable = True, constraint = None): + """ + Creates a kernel that should be saved as an attribute of the caller class + name: name of the kernel + shape: tuple with its shape + initializer: one of the initializers from this class (actually, any keras initializer) + trainable: if it is + constraint: one of the constraints from this class (actually, any keras constraints) + """ + kernel = self.add_weight( + name = name, + shape = kernel_shape, + initializer = initializer, + trainable = trainable, + constraint = constraint, + ) + return kernel + + def build(self, input_shape): + super (MetaLayer, self).build(input_shape) + + # Implemented initializers + @staticmethod + def init_constant(value): + return Constant(value = value) + + @staticmethod + def select_initializer(ini_name, seed = None, **kwargs): + """ + Selects one of the initializers (which does initialize, i.e., not constant) + All of them should accept seed + """ + try: + ini_tuple = MetaLayer.initializers[ini_name] + except KeyError: + raise Exception(f'[MetaLayer.select_initializer] Optimizer not found {ini_name}') + + ini_class = ini_tuple[0] + ini_args = ini_tuple[1] + ini_args['seed'] = seed + + for key, value in kwargs.items(): + if key in ini_args.keys(): + ini_args[key] = value + return ini_class( **ini_args ) + + + # Implemented constraint + def constraint_MinMaxWeight(self, min_value, max_value): + """ Small override to the MinMaxNorm Keras class to not look at the + absolute value + This version looks at the sum instead of at the norm + """ + class MinMaxWeight(MinMaxNorm): + def __init__(self, **kwargs): + super(MinMaxWeight, self).__init__(**kwargs) + + def __call__(self, w): + norms = K.sum(w, axis=self.axis, keepdims=True) + desired = (self.rate * K.clip(norms, self.min_value, self.max_value) + + (1 - self.rate) * norms) + w *= (desired / (K.epsilon() + norms)) + return w + return MinMaxWeight(min_value = min_value, max_value = max_value) + + # Make numpy array into a tensor + def np_to_tensor(self, np_array, **kwargs): + """ + Given a numpy array, returns a constant tensor + """ + return K.constant(np_array, **kwargs) + + # Common tensor operations + def tensor_ones(self, shape, **kwargs): + """ + Generates a tensor of ones of the given shape + """ + return K.ones( shape, **kwargs) + + def many_replication(self, grid, replications, axis = 0, **kwargs): + """ + Generates a tensor with one extra dimension which is a repetition of "grid" n times along the given axis + frm keras documentation: If x has shape (s1, s2, s3) and axis is 1, the output will have shape (s1, s2 * rep, s3) + """ + return K.repeat_elements(grid, rep = replications, axis = axis, **kwargs) + + def sum(self, tensor, axis = None, **kwargs): + """ + Computes the sum of the elements of the tensor + """ + return K.sum(tensor, axis = axis, **kwargs) + + def tensor_product(self, tensor_x, tensor_y, axes, **kwargs): + """ + Computes the tensordot product between tensor_x and tensor_y + """ + return K.tf.tensordot(tensor_x, tensor_y, axes = axes, **kwargs) + + def transpose(self, tensor, **kwargs): + """ + Transpose a tensor + """ + return K.transpose(tensor, **kwargs) + + def boolean_mask(self, tensor, mask, axis = None, **kwargs): + """ + Applies boolean mask to a tensor + """ + return K.tf.boolean_mask(tensor, mask, axis = axis, **kwargs) + + def concatenate(self, tensor_list, axis = -1, target_shape = None): + """ + Concatenates a list of numbers or tenosr into a bigger tensor + + If the target shape is given, the output is reshaped to said shape + """ + concatenated_tensor = K.concatenate(tensor_list, axis = axis) + if target_shape: + return K.reshape( concatenated_tensor, target_shape ) + else: + return concatenated_tensor + + def permute_dimensions(self, tensor, permutation, **kwargs): + """ + Receives a tensor and a tuple and permutes the axes of the tensor according to it. + i.e. + if permutation = (1,0,2) + does the permutation: axis_0 -> axis_1, axis_1 -> axis_0, axis_2 -> axis_2 + """ + return K.permute_dimensions( tensor, permutation , **kwargs) + + + diff --git a/n3fit/backends/keras_backend/MetaModel.py b/n3fit/backends/keras_backend/MetaModel.py new file mode 100644 index 0000000000..5b40a3756a --- /dev/null +++ b/n3fit/backends/keras_backend/MetaModel.py @@ -0,0 +1,103 @@ +""" + MetaModel class + + Extension of the backend Model class containing some wrappers in order to absorb other + backend-dependent calls +""" +from keras.models import Model +from keras.layers import Input +import keras.optimizers as Kopt +import keras.backend as K +import numpy as np + + +class MetaModel(Model): + """ + The goal of this class is to absorb all keras dependent code + """ + + # Define in this dictionary new optimizers as well as the arguments they accept (with default values if needed be) + optimizers = { + 'RMSprop' : ( + Kopt.RMSprop, {'lr': 0.01} + ), + 'Adam' : ( + Kopt.Adam, {'lr' : 0.01} + ), + 'Adagrad' : ( + Kopt.Adagrad, {} ), + 'Adadelta' : ( + Kopt.Adadelta, {} ), + 'Adamax' : ( + Kopt.Adamax, {} ), + 'Nadam' : ( + Kopt.Nadam, {} ), + 'Amsgrad' : ( + Kopt.Adam, {'lr' : 0.01, 'amsgrad' : True } + ), + } + + def __init__(self, input_tensors, output_tensors, extra_tensors = None): + """ + This class behaves as keras.models.Model with some add-ons: + + if extra_tensors are given, they should come in the combination + (input: np.array, output_layer: function) so that they can be fed to keras as output_layer(*input) + + This function will turn all inputs into keras tensors + """ + input_list = input_tensors + output_list = output_tensors + + if not isinstance(input_list, list): + input_list = [input_list] + if not isinstance(output_list, list): + output_list = [output_list] + + # Add extra tensors + if extra_tensors is not None: + for ii, oo in extra_tensors: + inputs = [] + if isinstance(ii, list): + for i in ii: + inputs.append( self._np_to_input(i) ) + else: + inputs = [ self._np_to_input(ii) ] + o_tensor = oo(*inputs) + input_list += inputs + output_list.append(o_tensor) + + super (MetaModel, self).__init__( input_list, output_list ) + + def _np_to_input(self, x): + """ + If x is a numpy array, make it into a numpy tensor + """ + if isinstance(x, np.ndarray): + tensor = K.constant(x) + return Input( tensor = tensor ) + else: + return x + + def compile(self, optimizer_name = 'RMSprop', learning_rate = 0.05, loss = None): + """ + Compile the model given: + - Optimizer + - Learning Rate + - List of loss functions + """ + try: + opt_tuple = self.optimizers[optimizer_name] + except KeyError: + raise Exception(f'[MetaModel.compile] Optimizer not found {optimizer_name}') + + opt_function = opt_tuple[0] + opt_args = opt_tuple[1] + + if 'lr' in opt_args.keys(): + opt_args['lr'] = learning_rate + + opt_args['clipnorm'] = 1.0 + opt = opt_function(**opt_args) + + super (MetaModel, self).compile(optimizer = opt, loss = loss) diff --git a/n3fit/backends/keras_backend/__init__.py b/n3fit/backends/keras_backend/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/n3fit/backends/keras_backend/base_layers.py b/n3fit/backends/keras_backend/base_layers.py new file mode 100644 index 0000000000..0855747432 --- /dev/null +++ b/n3fit/backends/keras_backend/base_layers.py @@ -0,0 +1,62 @@ +""" + For a layer to be used by n3fit it should be contained in the layers dictionary below + This dictionary has the following structure: + + 'name of the layer' : ( Layer_class, {dictionary of arguments: defaults} ) +""" + +from keras.layers import Dense, concatenate, Lambda, LSTM, Dropout +from keras.backend import expand_dims + + +def LSTM_modified(**kwargs): + """ + LSTM asks for a sample X timestep X features kind of thing so we need to reshape the input + """ + + the_lstm = LSTM(**kwargs) + ExpandDim = Lambda( + lambda x: expand_dims(x, axis = -1) + ) + def ReshapedLSTM(input_tensor): + if len(input_tensor.shape) == 2: + reshaped = ExpandDim(input_tensor) + return the_lstm(reshaped) + else: + return the_lstm(input_tensor) + return ReshapedLSTM + + +layers = { + 'dense' : (Dense, { + 'input_shape' : (1,), + 'kernel_initializer' : 'glorot_normal', + 'units' : 5, + 'activation' : 'sigmoid', + }), + 'LSTM' : (LSTM_modified, { + 'kernel_initializer' : 'glorot_normal', + 'units' : 5, + 'activation' : 'sigmoid', + }), + 'dropout' : (Dropout, { + 'rate' : 0.0, + }), + } + + + +def base_layer_selector(layer_name, **kwargs): + try: + layer_tuple = layers[layer_name] + except KeyError: + raise Exception("Layer not implemented in keras_backend/base_layers.py: {0}".format(layer_name)) + + layer_class = layer_tuple[0] + layer_args = layer_tuple[1] + + for key, value in kwargs.items(): + if key in layer_args.keys(): + layer_args[key] = value + + return layer_class( **layer_args ) diff --git a/n3fit/backends/keras_backend/debug_mode.py b/n3fit/backends/keras_backend/debug_mode.py new file mode 100644 index 0000000000..193e28628e --- /dev/null +++ b/n3fit/backends/keras_backend/debug_mode.py @@ -0,0 +1,38 @@ +def set_initial_state(debug = False, seed = 13): + """ + Setting the initial state for debugging can be very tricky + This is the only way of getting reproducible results for keras-tensorflow + Note that this function needs to be called before _any_ tensorflow related stuff is called + + At the moment this is only enabled for debugging as forces the use of only one thread + """ + if not debug: + return 0 + + import numpy as np + import random as rn + + np.random.seed(seed) + use_seed = np.random.randint(0, pow(2,31)) + rn.seed(use_seed) + + from keras import backend as K + session_conf = K.tf.ConfigProto(intra_op_parallelism_threads=1, + inter_op_parallelism_threads=1) + K.tf.set_random_seed(use_seed) + sess = K.tf.Session(graph=K.tf.get_default_graph(), config=session_conf) + K.set_session(sess) + + return 0 + +def clear_backend_state(debug): + if not debug: + print("Clearing session") + from keras import backend as K + K.clear_session() + # Don't open threads that you are not going to eat + session_conf = K.tf.ConfigProto(intra_op_parallelism_threads=2, + inter_op_parallelism_threads=8) + sess = K.tf.Session(graph=K.tf.get_default_graph(), config=session_conf) + K.set_session(sess) + diff --git a/n3fit/backends/keras_backend/losses.py b/n3fit/backends/keras_backend/losses.py new file mode 100644 index 0000000000..ea4c0b710b --- /dev/null +++ b/n3fit/backends/keras_backend/losses.py @@ -0,0 +1,24 @@ +import keras.backend as K + +def l_invcovmat(invcovmat_np): + """ + Returns a loss function such that: + L = \sum_{ij} (yt - yp)_{i} invcovmat_{ij} (yt - yp)_{j} + """ + invcovmat = K.constant(invcovmat_np) + def true_loss(y_true, y_pred): + # (yt - yp) * covmat * (yt - yp) + tmp = (y_true - y_pred) + right_dot = K.tf.tensordot(invcovmat, K.transpose(tmp), axes = 1) + return K.tf.tensordot(tmp, right_dot, axes = 1) + return true_loss + +def l_positivity(alpha = 1e-7): + """ + Returns L = elu(y_pred) (considers y_true as 0) + """ + def true_loss(y_true, y_pred): + y = -y_pred + loss = K.elu(y, alpha = alpha) + return K.sum(loss) + return true_loss diff --git a/n3fit/backends/keras_backend/operations.py b/n3fit/backends/keras_backend/operations.py new file mode 100644 index 0000000000..accd0fc9be --- /dev/null +++ b/n3fit/backends/keras_backend/operations.py @@ -0,0 +1,111 @@ +from keras.layers import add as keras_add +from keras.layers import subtract as keras_subtract +from keras.layers import Lambda as keras_Lambda +from keras.layers import multiply as keras_multiply + +from keras.layers import Input +from keras.models import Model +from keras import backend as K + +def numpy_to_input(numpy_array): + return Input( tensor = K.constant(numpy_array)) + +# All operations must accept as an input a list or tuple of keras layers +# with the same output shape +# and return a keras operation with, again, the same output shape + +def c_to_py_fun(op_name, name, default = 'ADD'): + """ + Map between the NNPDF operations and the operations defined in this file + Any new backend must implement such a mapping + """ # TODO: shouldn't this be outside of the backend folder then + # surely... + d = { + 'NULL' : op_null, + 'ADD' : op_add, + 'RATIO' : op_ratio, + 'ASY' : op_asy, + 'SMN' : op_smn, + } + if op_name not in d.keys(): + print("Operation name not recognised, defaulting to {0}".format(default)) + return d[default] + + def operation_fun(o_list): + return d[op_name]( o_list, name = name ) + + return operation_fun + +def op_multiply(o_list, **kwargs): + """ + Receives a list of layers of the same output size and multiply them element-wise + """ + return keras_multiply(o_list, **kwargs) + +def op_multiply_dim(o_list, **kwargs): + """ + Bypass in order to multiply two layers with different output dimension + for instance: (10000 x 14) * (14) + as the normal keras multiply don't accept it (but somewhow it does accept it doing it like this) + """ + if len(o_list) != 2: + raise Exception("The number of observables is incorrect, operations.py:op_multiply_dim") + create_operation = keras_Lambda(lambda inputs: inputs[0] * inputs[1]) + return create_operation(o_list) + +def op_null(o_list, **kwargs): + """ + Not a compound object, do nothing + """ + return o_list[0] + +def op_add(o_list, **kwargs): + """ + Sum a list of layers with the same output dim + """ + return keras_add(o_list, **kwargs) + +def op_subtract(o_list, **kwargs): + """ + Subtract all observables + """ + return keras_subtract(o_list) + +def op_log(o_tensor, **kwargs): + """ + Computes the logarithm of the input + """ + return K.log(o_tensor) + + +def op_ratio(o_list, **kwargs): + """ + Take the ratio of two observables + """ + if len(o_list) != 2: + raise Exception("The number of observables is incorrect, operations.py:op_ratio") + + division_layer = keras_Lambda(lambda inputs: inputs[0] / inputs[1], **kwargs) + return division_layer(o_list) + +def op_asy(o_list, **kwargs): + """ + Perform the asymmetry operation on two observables + """ + if len(o_list) != 2: + raise Exception("The number of observables is incorrect, operations.py:op_asy") + + subtraction = keras_subtract(o_list) + addition = op_add(o_list) + return op_ratio( [subtraction, addition], **kwargs ) + +def op_smn(o_list, **kwargs): + """ + Normalised sum + """ + if len(o_list) != 4: + raise Exception("The number of observables is incorrect, operations.py:op_smn") + numer = op_add( o_list[:2] ) + denom = op_add( o_list[2:] ) + return op_ratio( [numer, denom], **kwargs ) + diff --git a/n3fit/constrains.py b/n3fit/constrains.py new file mode 100644 index 0000000000..dac4895b31 --- /dev/null +++ b/n3fit/constrains.py @@ -0,0 +1,158 @@ +""" + Functions to imposem the Momentum sum rule on the PDFs +""" +import numpy as np +import pdb + +from layers import xDivide, MSR_Normalization, xIntegrator, xMultiply +from backends import operations +from backends import MetaModel + +def gen_integration_input(nx): + """ + Generates a np.array (shaped (nx,1)) of nx elements where the + nx/2 first elements are a logspace between 0 and 0.1 + and the rest a linspace from 0.1 to 0 + """ + lognx = int(nx/2) + linnx = int(nx - lognx) + xgrid_log = np.logspace(-9,-1, lognx + 1) + xgrid_lin = np.linspace(0.1,1, linnx) + xgrid = np.concatenate([xgrid_log[:-1], xgrid_lin]).reshape(nx, 1) + + spacing = [0.0] + for i in range(1,nx): + spacing.append( np.abs(xgrid[i-1]-xgrid[i]) ) + spacing.append(0.0) + + weights = [] + for i in range(nx): + weights.append( (spacing[i]+spacing[i+1])/2.0 ) + weights_array = np.array(weights).reshape(nx, 1) + + return xgrid, weights_array + + +def msr_impose(fit_layer, final_pdf_layer, verbose = False): + """ + This function receives: + - pdf_fit: the 8-basis layer of PDF which we fit + - final_layer: the 14-basis which is fed to the fktable + It uses pdf_fit to compute the sum rule and returns a modified version of the final_pdf layer + with a normalisation by which the sum rule is imposed + """ + + # 1. Generate the fake input which will be used to integrate + nx = int(2e3) + xgrid, weights_array = gen_integration_input(nx) + + # 2. Prepare the pdf for integration + # for that we need to multiply several flavours with 1/x + division_by_x = xDivide(size = nx) + def pdf_integrand(x): + res = operations.op_multiply([ + division_by_x(x), fit_layer(x) + ]) + return res + + # 3. Now create the integration layer (the layer that will simply integrate, given some weight + integrator = xIntegrator(weights_array, input_shape = (nx,)) + + # 4. Now create the normalization by selecting the right integrations + normalizer = MSR_Normalization(input_shape = (8,)) + + # 5. Make the xgrid numpy array into a backend input layer so it can be given + xgrid_input = operations.numpy_to_input(xgrid) + normalization = normalizer( + integrator( + pdf_integrand(xgrid_input) + ) + ) + + def ultimate_pdf(x): + return operations.op_multiply_dim( [final_pdf_layer(x), normalization] ) + + if verbose: + only_int = integrator(pdf_integrand(xgrid_input)) + modelito = MetaModel(xgrid_input, only_int) + result = modelito.predict(x = None, steps = 1) + + print(" > > Generating model for the inyection layer which imposes MSR") + check_integration(ultimate_pdf, xgrid_input) + + # Save a reference to xgrid in ultimate_pdf, very useful for debugging + ultimate_pdf.ref_xgrid = xgrid_input + + return ultimate_pdf, xgrid_input + +def check_integration(ultimate_pdf, integration_input, verbose = False): + nx = int(1e4) + xgrid, weights_array = gen_integration_input(nx) + xgrid_input = operations.numpy_to_input( xgrid ) + + multiplier = xDivide(size = nx, output_dim = 14, div_list = range(3,9)) + def pdf_integrand(x): + res = operations.op_multiply([ + multiplier(x), ultimate_pdf(x) + ]) + return res + + modelito = MetaModel( [xgrid_input, integration_input], pdf_integrand(xgrid_input) ) + if verbose: + modelito.summary() + result = modelito.predict(x = None, steps = 1) + + result_weighted = result*weights_array + result_integrated = np.sum(result_weighted, axis = 0) + + msr = result_integrated[1] + result_integrated[2] + v = result_integrated[3] + v3 = result_integrated[4] + v8 = result_integrated[5] + print(""" + > > > Int from 0 to 1 of: + x*g(x) + x*sigma(x) = {0} + v = {1} + v3 = {2} + v8 = {3}""".format(msr, v, v3, v8)) + +def compute_arclength(fitbasis_layer, verbose = False): + """ + Given the layer with the fit basis computes the arc length + """ + nx = int(1e6) + xgrid, weights_array = gen_integration_input(nx) + multiplier = xMultiply(size = nx) + xgrid_input = operations.numpy_to_input(xgrid) + eps = xgrid[0] / 2.0 + xgrid_input_prime = operations.numpy_to_input(xgrid - eps) + + def integrand(xgrid_input, xgrid_input_prime): + f1 = fitbasis_layer(xgrid_input) + f2 = fitbasis_layer(xgrid_input_prime) + pdfprime = operations.op_subtract([f2, f1]) + + res = operations.op_multiply([ + multiplier(xgrid_input), pdfprime + ]) + return res + + modelito = MetaModel( [xgrid_input, xgrid_input_prime], integrand(xgrid_input, xgrid_input_prime) ) + derivatives = modelito.predict(x = None, steps = 1)/eps + derivatives_sq = pow(derivatives, 2) + f_of_x = np.sqrt(1.0 + derivatives_sq) + arc_lengths = np.sum( f_of_x * weights_array, axis = 0) + + if verbose: + print(""" + > > > Arc length: + sigma = {0} + g = {1} + v = {2} + v3 = {3} + v8 = {4}""".format(*arc_lengths[:5])) + + return arc_lengths + + + diff --git a/n3fit/create_testset.py b/n3fit/create_testset.py new file mode 100644 index 0000000000..1f1147104b --- /dev/null +++ b/n3fit/create_testset.py @@ -0,0 +1,106 @@ +import numpy as np +import os + +from reportengine.compat import yaml + +def test_runcard(runcard_file, datasets_out): + """ + Given a runcard and a set of datasets, generate a TEST-runcard where the datasets in datasets_out are removed + from the training and put together as a new experiment called TEST + """ + # Load the input runcard as a dictionary + f = open(runcard_file, 'r') + runcard_dict = yaml.safe_load(f) + runcard_exp = runcard_dict['experiments'] + f.close() + + # Generate the list of datasets which are to be left out + data_tests = [] + for dataset in datasets_out: + data_tests.append( + {'dataset' : dataset, 'frac' : 1.0} # TODO copy the dictionary from the runcard instead + ) + + # Create a test experiment + from ModelTrainer import TESTNAME + test_experiment = { + 'experiment' : TESTNAME, + 'datasets' : data_tests + } + + # Now drop experiments and datasets that are being used for training + for experiment in runcard_exp: + datasets = list(filter(lambda x: x['dataset'] not in datasets_out, experiment['datasets'])) + if datasets: + experiment['datasets'] = datasets + else: + runcard_exp.remove(experiment) + + # Generate the new runcard + # TODO: maybe there is a proper report-enginy way of doing this + runcard_exp.append(test_experiment) + new_runcard = "TEST-{0}".format(os.path.basename(runcard_file)) + no = open(new_runcard, 'w') + yaml.round_trip_dump(runcard_dict, no, explicit_start=True, explicit_end=True, + default_flow_style=True) + no.close() + + print("\n > You can find your new runcard at {0}/{1}\n".format(os.getcwd(), new_runcard)) + +def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml"): + """ + This function gets the list of experiment and goes through the datasets + reading their experiment type and range in x + Depending on these, chooses the ones to leave out for testing + """ + + # 1) Read all datasets in the runcard and classify them by type + dataset_by_proc = {} + all_experiments = {} + for exp in experiments: + all_experiments[str(exp)] = len(exp.datasets) + for dataset in exp.datasets: + data_c = dataset.load() + proc_type = data_c.GetProc(0) + fktable = data_c.GetFK(0) + xgrid = fktable.get_xgrid() + xmin = np.min(xgrid) + xmax = np.max(xgrid) + data_dict = { + 'name' : str(dataset), + 'xmin' : xmin, + 'xmax' : xmax, + 'exp' : str(exp), + } + if proc_type in dataset_by_proc.keys(): + dataset_by_proc[proc_type].append(data_dict) + else: + dataset_by_proc[proc_type] = [data_dict] + + select_min = False # If true selects the datasets with the smallest min(x), recommended: False + + # 2) Now for every process type with more than one dataset, leave out the smallest + datasets_out = [] + for proc_type, datasets in dataset_by_proc.items(): + l = len(datasets) + if l != 1: + xmin = 1.0 + xmax = 0.0 + for dataset in datasets: + xm = dataset['xmin'] + if select_min: + if xm < xmin: + xmin = xmin + data_out = dataset + else: + if xm > xmax: + xmax = xm + data_out = dataset + print("For {0} we find {1} datasets, leaving one out: {2}".format(proc_type, l, data_out)) + datasets_out.append(data_out['name']) + all_experiments[dataset['exp']] -= 1 + + if len(datasets_out) == 0: + print("No redundant datasets were found") + else: + test_runcard(runcard_file, datasets_out) diff --git a/n3fit/evolven3fit/evolven3fit.cc b/n3fit/evolven3fit/evolven3fit.cc new file mode 100644 index 0000000000..3b4503022a --- /dev/null +++ b/n3fit/evolven3fit/evolven3fit.cc @@ -0,0 +1,106 @@ +// $Id$ +// +// NNPDF++ 2016 +// +// Authors: Nathan Hartland, n.p.hartland@ed.ac.uk +// Stefano Carrazza, stefano.carrazza@mi.infn.it + +#include +#include +#include "common.h" +#include "nnpdfsettings.h" +#include "exportgrid.h" +#include "evolgrid.h" +#include +using namespace NNPDF; +using std::cout; +using std::endl; +using std::cerr; +using std::string; +using std::stoi; + +// Check if folder exists +bool CheckConsistency(string const& folder, string const& exportfile) +{ + bool status1 = false, status2 = false; + struct stat s, t; + if (stat(folder.c_str(), &s) == 0) + if (s.st_mode & S_IFDIR) + status1 = true; + if (stat(exportfile.c_str(), &t) == 0) + if (t.st_mode) + status2 = true; + if (status1 == true && status2 == true) return true; + else return false; +} + +/** + * This program: + * - takes as input a fit folder and a theoryID, + * - loads a vector of ExportGrid for all replicas generated by nnfit, + * - computes the DGLAP evolution operators for the theoryID + * - applies the evolution operators to the ExportGrid objects + * - outputs the evolved PDFs in the LHAPDF format to the fit folder. + */ +int main(int argc, char **argv) +{ + // Read configuration filename from arguments + if (argc != 3) + { + cerr << Colour::FG_RED << "\nusage: evolven3fit [configuration folder] [max_replicas]\n" << Colour::FG_DEFAULT << endl; + exit(EXIT_FAILURE); + } + + const string fit_path = argv[1]; + const int maxreplica = stoi(argv[2]); + + // load settings from config folder + NNPDFSettings settings(fit_path); + const int theory_id = settings.Get("theory","theoryid").as(); + + // load theory from db + std::map theory_map; + NNPDF::IndexDB db(get_data_path() + "/theory.db", "theoryIndex"); + db.ExtractMap(theory_id, APFEL::kValues, theory_map); + + // load grids + vector initialscale_grids; + vector replicas; + for (int nrep = 1; nrep <= maxreplica; nrep++) + { + const string folder = fit_path + "/nnfit/replica_" + std::to_string(nrep); + const string path = folder + "/" + settings.GetPDFName() + ".exportgrid"; + bool status = CheckConsistency(folder, path); + if (status) + { + initialscale_grids.emplace_back(path); + replicas.push_back(nrep); + } + else + { + cout << "Skipping exportgrid (missing file): " << path << endl; + } + } + + if (initialscale_grids.size() == 0) + throw NNPDF::RuntimeException("main", "nrep = 0, check replica folder/files."); + + string infofile = fit_path + "/nnfit/" + settings.GetPDFName() + ".info"; + auto dglapg = EvolveGrid(initialscale_grids, theory_map); + dglapg.WriteInfoFile(infofile); + + const auto outstream = dglapg.WriteLHAFile(); + for (size_t i = 0; i < outstream.size(); i++) + { + stringstream replica_file; + replica_file << fit_path + << "/nnfit/replica_" + << replicas[i] + << "/" + << settings.GetPDFName() + << ".dat"; + write_to_file(replica_file.str(), outstream[i].str()); + } + + return 0; +} diff --git a/n3fit/evolven3fit/makefile b/n3fit/evolven3fit/makefile new file mode 100644 index 0000000000..32cd35e92f --- /dev/null +++ b/n3fit/evolven3fit/makefile @@ -0,0 +1,19 @@ +## Simple and stupid makefile + +NNPDFSRC=../../ +INCLUDES=`pkg-config nnpdf --cflags` `pkg-config gsl --cflags` `apfel-config --cxxflags` `pkg-config yaml-cpp --cflags` +LIBS=`pkg-config nnpdf --libs` `pkg-config gsl --libs` `apfel-config --ldflags` `pkg-config yaml-cpp --libs` + +all: evolven3fit + +evolven3fit: evolven3fit.cc + $(CXX) -I./ -I$(NNPDFSRC)/nnpdfcpp/src/nnfit/inc \ + $(INCLUDES) -I$(NNPDFSRC)/nnpdfcpp/src/common/inc \ + $(NNPDFSRC)/nnpdfcpp/src/common/src/nnpdfsettings.cc \ + $(NNPDFSRC)/nnpdfcpp/src/common/src/md5.cc \ + $(NNPDFSRC)/nnpdfcpp/src/common/src/exportgrid.cc \ + $(NNPDFSRC)/nnpdfcpp/src/nnfit/src/evolgrid.cc \ + $< -o $@ $(LIBS) + +clean: + rm -rf evolven3fit diff --git a/n3fit/evolven3fit/version.h b/n3fit/evolven3fit/version.h new file mode 100644 index 0000000000..f84864988a --- /dev/null +++ b/n3fit/evolven3fit/version.h @@ -0,0 +1 @@ +#define SVN_REV 3.1 diff --git a/n3fit/filetrials.py b/n3fit/filetrials.py new file mode 100644 index 0000000000..eb8002fe6f --- /dev/null +++ b/n3fit/filetrials.py @@ -0,0 +1,54 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" + Custom hyperopt trial object for persistent file storage +""" +import json +from hyperopt import Trials, base, space_eval + +def space_eval_trial(space, trial): + for_eval = {} + for k, v in trial["misc"]["vals"].items(): + if len(v) == 0: + for_eval[k] = None + else: + for_eval[k] = v[0] + return space_eval(space, for_eval) + + +class FileTrials(Trials): + """ + Stores trial results on the fly. + """ + def __init__(self, replica_path, log=None, parameters=None, exp_key=None, refresh=True): + self._store_trial = False + self._json_file = "{0}/tries.json".format(replica_path) + self._parameters = parameters + if log: + self.log_info = log.info + else: + self.log_info = print + super(FileTrials, self).__init__(exp_key=exp_key, refresh=refresh) + + def refresh(self): + super(FileTrials, self).refresh() + + # write json to disk + if self._store_trial: + self.log_info(f'Storing scan in {self._json_file}') + local_trials = [] + for idx, t in enumerate(self._dynamic_trials): + local_trials.append(t) + local_trials[idx]['misc']['space_vals'] = space_eval_trial(self._parameters, t) + + all_to_str = json.dumps(local_trials, default=str) + with open(self._json_file, 'w') as f: + f.write(all_to_str) + + def new_trial_ids(self, N): + self._store_trial = False + return super(FileTrials, self).new_trial_ids(N) + + def new_trial_docs(self, tids, specs, results, miscs): + self._store_trial = True + return super(FileTrials, self).new_trial_docs(tids, specs, results, miscs) diff --git a/n3fit/fit.py b/n3fit/fit.py new file mode 100644 index 0000000000..ce02169567 --- /dev/null +++ b/n3fit/fit.py @@ -0,0 +1,256 @@ +""" + Fit action controller +""" + +# Backend-independent imports +import numpy as np +import sys +import logging +import os.path +from pdb import set_trace + +log = logging.getLogger(__name__) + +# Action to be called by validphys +def fit( fitting, # All information defining the NN should come here in the "parameters" dict + experiments, t0set, replica, replica_path, output_path, + theoryid, posdatasets, hyperscan = None, + hyperopt = None, debug = False, + create_test_card = None): + + # Call the script to generate a runcard with a test-set and immediately exit + if create_test_card: + from create_testset import create_testset + create_testset(experiments, runcard_file = create_test_card) + return 0 + ############### + + if debug: + # If debug is active, fix the initial state this should make the run reproducible + # (important to avoid non-deterministic multithread or hidden states) + from backends import set_initial_state + set_initial_state(debug = debug) + ############### + + # All potentially backend dependent imports should come inside the fit function + # so they can eventually be set from the runcard + from ModelTrainer import ModelTrainer + from writer import storefit + from backends import MetaModel + import reader + import constrains + if hyperopt: + import hyperopt as hyper + import filetrials + status_ok = hyper.STATUS_OK + else: + status_ok = "ok" + + # Loading t0set from LHAPDF + if t0set is not None: + t0pdfset = t0set.load_t0() + + # First set the seed variables for + # - Tr/Vl split + # - Neural Network initialization + # - Replica generation + # These depend both on the seed set in the runcard and the replica number + trvalseeds = [] + nnseeds = [] + mcseeds = [] + for replica_number in replica: + np.random.seed(fitting.get('trvlseed')) + for i in range(replica_number): + trvalseed = np.random.randint(0, pow(2,31)) + + np.random.seed(fitting.get('nnseed')) + for i in range(replica_number): + nnseed = np.random.randint(0, pow(2,31)) + + np.random.seed(fitting.get('mcseed')) + for i in range(replica_number): + mcseed = np.random.randint(0, pow(2,31)) + trvalseeds.append(trvalseed) + nnseeds.append(nnseed) + mcseeds.append(mcseed) + + if fitting.get('genrep') == 0: + mcseeds = [] + + ############################################################################## + # ### Read files + # Loop over all the experiment and positivity datasets + # and save them into two list of dictionaries: exp_info and pos_info + # later on we will loop over these two lists and generate the actual layers + # i.e., at this point there is no information about the NN + # we are just creating dictionaries with all the necessary information + # (experimental data, covariance matrix, replicas, etc, tr/val split) + ############################################################################## + all_exp_infos = [ [] for _ in replica ] + # First loop over the experiments + for exp in experiments: + log.info("Loading experiment: {0}".format(exp)) + all_exp_dicts = reader.common_data_reader(exp, t0pdfset, replica_seeds = mcseeds, trval_seeds = trvalseeds) + for i, exp_dict in enumerate(all_exp_dicts): + all_exp_infos[i].append(exp_dict) + + # Now read all the positivity datasets + pos_info = [] + for pos_set in posdatasets: + log.info("Loading positivity dataset {0}".format(pos_set)) + pos_dict = reader.positivity_reader(pos_set) + pos_info.append(pos_dict) + + # Note: In the basic scenario we are only running for one replica and thus this loop is only + # run once and all_exp_infos is a list of just than one element + for replica_number, exp_info, nnseed in zip(replica, all_exp_infos, nnseeds): + replica_path_set = replica_path / 'replica_{0}'.format(replica_number) + log.info("Starting replica fit {0}".format(replica_number)) + + # Generate a ModelTrainer object + # this object holds all necessary information to train a PDF (still no information about the NN) + the_model_trainer = ModelTrainer( + exp_info, pos_info, + fitting['basis'], nnseed, + pass_status = status_ok, + log = log, debug = debug) + + # Check whether we want to load weights from a file (maybe from a previous run) + # check whether the file exists, otherwise set it to none + # reading the data up will be done by the model_trainer + if fitting.get('load'): + model_file = fitting.get('loadfile') + log.info(" > Loading the weights from previous training from {0}".format(model_file)) + if not os.path.isfile(model_file): + log.warning(" > Model file {0} could not be found".format(model_file)) + model_file = None + else: + the_model_trainer.set_model_file(model_file) + + # This is just to give a descriptive name to the fit function + pdf_gen_and_train_function = the_model_trainer.hyperparametizable + + # Read up the parameters of the NN from the runcard + parameters = fitting.get('parameters') + + ####################################################################### + # ### Hyperopt + # If hyperopt is active the parameters of NN will be substituted by the + # hyoperoptimizable variables. + # Hyperopt will run for --hyperopt number of iterations before leaving + # this block + ####################################################################### + if hyperopt: + from HyperScanner import HyperScanner + + the_scanner = HyperScanner(parameters) + + stopping_options = hyperscan.get('stopping') + positivity_options = hyperscan.get('positivity') + optimizer_options = hyperscan.get('optimizer') + architecture_options = hyperscan.get('architecture') + + # Enable scanner for certain parameters + the_scanner.stopping( **stopping_options ) + the_scanner.positivity( **positivity_options ) + the_scanner.optimizer( **optimizer_options ) + # Enable scanner for specific architectures + the_scanner.NN_architecture( **architecture_options ) + + # Tell the trainer we are doing hyperopt + the_model_trainer.set_hyperopt(on = True, keys = the_scanner.hyper_keys) + + # Generate Trials object + trials = filetrials.FileTrials(replica_path_set, log=log, parameters=parameters) + + # Perform the scan + try: + best = hyper.fmin( + fn = pdf_gen_and_train_function, + space = the_scanner.dict(), + algo = hyper.tpe.suggest, + max_evals = hyperopt, + trials=trials + ) + except ValueError as e: + print("Error from hyperopt because no best model was found") + print("@fit.py, setting the best trial to empty dict") + print("Exception: {0}".format(e)) + sys.exit(0) + + # Now update the parameters with the ones found by the scan + true_best = hyper.space_eval(parameters, best) + the_scanner.update_dict(true_best) + params = the_scanner.dict() + print("##################") + print("Best model found: ") + for k, i in true_best.items(): + print(" {0} : {1} ".format(k,i)) + ####################################################################### end of hyperopt + + # Ensure hyperopt is off + the_model_trainer.set_hyperopt(on = False) + + ########################################################################### + # ### Fit + # This function performs the actual fit, it reads all the parameters in the + # "parameters" dictionary, uses them to generate the NN and trains the net + ########################################################################### + result = pdf_gen_and_train_function(parameters) + + # After the fit is run we get a 'result' dictionary with the following items: + validation_object = result['validation_object'] + layer_pdf = result['layer_pdf'] + layers = result['layers'] + integrator_input = result['integrator_input'] + true_chi2 = result['loss'] + training = result['training'] + log.info("Total exp chi2: {0}".format(true_chi2)) + + # Where has the stopping point happened (this is only for debugging purposes) + print(""" + > > The stopping point has been at: {0} with a loss of {1} + which it got at {2}. Stopping degree {3} + Positivity state: {4} + """.format( + validation_object.epoch_of_the_stop, + validation_object.loss(), + validation_object.e_best_chi2, + validation_object.stopping_degree, + validation_object.positivity_pass() + )) + + + # Compute the arclengths + arc_lengths = constrains.compute_arclength(layers['fitbasis'], verbose = True) + # Construct the chi2exp file + allchi2_lines = validation_object.chi2exps_str() + # Construct the preproc file + preproc_lines = validation_object.preproc_str() + + # Creates a PDF model for export grid + def pdf_function(export_xgrid): + """ + Receives an array, returns the result of the PDF for said array + """ + modelito = MetaModel( [integrator_input], [], extra_tensors = [(export_xgrid, layer_pdf)] ) + result = modelito.predict(x = None, steps = 1) + return result + # export PDF grid to file + storefit(pdf_function, replica_number, replica_path_set, output_path.stem, theoryid.get_description().get('Q0')**2, + validation_object.epoch_of_the_stop, + validation_object.loss(), validation_object.tr_loss(), true_chi2, arc_lengths, allchi2_lines, preproc_lines, validation_object.positivity_pass()) + + + # Save the weights to some file + if fitting.get('save'): + model_file = fitting.get('savefile') + log.info(" > Saving the weights for future in {0}".format(model_file)) + training['model'].save_weights(model_file) + + # Plot the validation and the training losses + if fitting.get('plot'): + validation_object.plot() + + # print out the integration of the sum rule in case we want to check it's not broken + # constrains.check_integration(layer_pdf, integrator_input) diff --git a/n3fit/layers/DIS.py b/n3fit/layers/DIS.py new file mode 100644 index 0000000000..263dc8a701 --- /dev/null +++ b/n3fit/layers/DIS.py @@ -0,0 +1,20 @@ +from layers.Observable import Observable +import numpy as np + +class DIS(Observable): + def gen_basis(self, basis): + if basis is not None: + self.basis = np.zeros(self.nfl, dtype = bool) + for i in basis: + self.basis[i] = True + else: + self.basis = np.ones(self.nfl, dtype = bool) + + def call(self, pdf_in): + + pdf_masked = self.boolean_mask(pdf_in, self.basis, axis = 1) + + pdfT = self.transpose(pdf_masked) + + result = self.tensor_product(self.fktable, pdfT, axes = 2) + return result diff --git a/n3fit/layers/DY.py b/n3fit/layers/DY.py new file mode 100644 index 0000000000..8ea53f5ee2 --- /dev/null +++ b/n3fit/layers/DY.py @@ -0,0 +1,39 @@ +from layers.Observable import Observable +import numpy as np + + +class DY(Observable): + def gen_basis(self, basis): + basis_to_pairs = basis.reshape(-1,2) + self.basis = basis_to_pairs + self.basis_size = len(self.basis) + + def call(self, pdf_in): + # This is a convoluted way of applying a mask, but it is faster + # mask-version below + lumi_fun = [] + pdfT = self.transpose(pdf_in) + + for i,j in self.basis: + lumi_fun.append( self.tensor_product(pdfT[i], pdfT[j], axes = 0) ) + + pdfXpdf = self.concatenate( lumi_fun, axis = 0, target_shape = (self.basis_size, self.xgrid_size, self.xgrid_size) ) + + result = self.tensor_product(self.fktable, pdfXpdf, axes = 3) + return result + +class DY_mask(Observable): + def gen_basis(self, basis): + if basis is not None: + self.basis = np.zeros((self.nfl, self.nfl), dtype = bool) + for i,j in basis.reshape(-1,2): + self.basis[i,j] = True + else: + self.basis = np.ones((self.nfl, self.nfl), dtype = bool) + + def call(self, x_raw): + lfun = self.tensor_product(x_raw, x_raw, axes = 0) + lfunT = self.permute_dimensions(lfun, (3,1,2,0)) + x = self.boolean_mask(lfunT, self.basis, axis = 0) + result = self.tensor_product(self.fktable, x, axes = 3) + return result diff --git a/n3fit/layers/Integration.py b/n3fit/layers/Integration.py new file mode 100644 index 0000000000..b1fae2e1c4 --- /dev/null +++ b/n3fit/layers/Integration.py @@ -0,0 +1,106 @@ +from backends import MetaLayer + +class xDivide(MetaLayer): + """ + Divide the pdf by x + By default: dimension = 8 dividing the entries corresponding to v, v3, v8 + """ + + def __init__(self, output_dim = 8, div_list = [2,3,4], size = 1000, **kwargs): + self.output_dim = output_dim + self.div_list = div_list + self.one = self.tensor_ones( (size, 1) ) + super(MetaLayer, self).__init__(**kwargs) + + def compute_output_shape(self, input_shape): + return (input_shape[0], self.output_dim) + + def call(self, x): + out_array = [] + for i in range(self.output_dim): + if i in self.div_list: + res = self.one/x + else: + res = self.one + out_array.append(res) + out_tensor = self.concatenate(out_array, axis = 1) + return out_tensor + +class xMultiply(MetaLayer): + """ + Multiply the pdf by x + By default: dimension = 8 multiply all entries but v, v3, v8 + """ + + def __init__(self, output_dim = 8, div_list = [2,3,4], size = 1000, **kwargs): + self.output_dim = output_dim + self.div_list = div_list + self.one = self.tensor_ones( (size, 1) ) + super(MetaLayer, self).__init__(**kwargs) + + def compute_output_shape(self, input_shape): + return (input_shape[0], self.output_dim) + + def call(self, x): + out_array = [] + for i in range(self.output_dim): + if i in self.div_list: + res = self.one + else: + res = self.one*x + out_array.append(res) + out_tensor = self.concatenate(out_array, axis = 1) + return out_tensor + +class xIntegrator(MetaLayer): + """ + This layer performs a sum of the input layer/tensor on the first axis + """ + def __init__(self, grid_weights, output_dim = 8, **kwargs): + grid_weights_tensor = self.np_to_tensor(grid_weights) + # Open up the grid weights + self.grid_weights = self.many_replication(grid_weights_tensor, replications = 8, axis = 1) + self.output_dim = output_dim + super(MetaLayer, self).__init__(**kwargs) + + def compute_output_shape(self, input_shape): + return (self.output_dim, ) + + def call(self, x): + xx = x*self.grid_weights + return self.sum(xx, axis = 0) + + +class MSR_Normalization(MetaLayer): + """ + Applies the normalisation so that the PDF output fullfills the sum rules + """ + def __init__(self, output_dim = 14, **kwargs): + self.output_dim = output_dim + self.one = self.tensor_ones( (1, 1) ) + self.three = 3*self.tensor_ones( (1, 1) ) + super(MSR_Normalization, self).__init__(**kwargs, name = "normalizer") + + def compute_output_shape(self, input_shape): + return (self.output_dim, ) + + + def call(self, integrated): + x = integrated + pdf_sr = self.concatenate([ + self.one, # photon + self.one, # sigma + (self.one - x[0])/x[1], # g + self.three/x[2], # v + self.one/x[3], # v3 + self.three/x[4], # v8 + self.three/x[2], # v15 + self.three/x[2], # v24 + self.three/x[2], # v35 + self.one, # t3 + self.one, # t8 + self.one, # t15 (c-) + self.one, # t24 + self.one, # t35 + ]) + return pdf_sr diff --git a/n3fit/layers/Mask.py b/n3fit/layers/Mask.py new file mode 100644 index 0000000000..06d624ee6e --- /dev/null +++ b/n3fit/layers/Mask.py @@ -0,0 +1,25 @@ +import numpy as np +from backends import MetaLayer + +class Mask(MetaLayer): + """ + Mask is a layer used to apply both a boolean mask and a multiplier + """ + def __init__(self, bool_mask, c = 1.0, **kwargs): + self.output_dim = np.count_nonzero(bool_mask) + self.mask = bool_mask + self.c = c + super(MetaLayer, self).__init__(**kwargs) + + def build(self, input_shape): + initializer = MetaLayer.init_constant(value = self.c) + self.kernel = self.builder_helper("mask", (1,), initializer, trainable = False) + super(Mask, self).build(input_shape) + + def compute_output_shape(self, input_shape): + return (self.output_dim, None) + + def call(self, prediction_in): + return self.boolean_mask(self.kernel*prediction_in, self.mask) + + diff --git a/n3fit/layers/Observable.py b/n3fit/layers/Observable.py new file mode 100644 index 0000000000..c951b15033 --- /dev/null +++ b/n3fit/layers/Observable.py @@ -0,0 +1,43 @@ +from sys import exit +import numpy as np +from backends import MetaLayer + +class Observable(MetaLayer): + """ + This class is the parent of the DIS and DY convolutions. + All backend-dependent code necessary for the convolutions + is (must be) concentrated here + + The methods gen_basis and call must be overriden by the observables + where + - gen_basis: it is called by the initializer and generates the mask between + fktables and pdfs + - call: this is what does the actual operation + + """ + + def __init__(self, output_dim, fktable, basis = None, nfl = 14, **kwargs): + self.nfl = nfl + + self.output_dim = output_dim + self.fktable = self.np_to_tensor(fktable) + self.xgrid_size = self.fktable.shape[-1] + + self.gen_basis(basis) + + super(MetaLayer, self).__init__(**kwargs) + + + def compute_output_shape(self, input_shape): + return (self.output_dim, None) + + # Overridables + def gen_basis(self, basis): + print("{0} must implement the method gen_basis".format(self)) + exit(-1) + + def call(self, pdf_in): + print("{0} must implement the method gen_basis".format(self)) + exit(-1) + + diff --git a/n3fit/layers/Preprocessing.py b/n3fit/layers/Preprocessing.py new file mode 100644 index 0000000000..d2228280a2 --- /dev/null +++ b/n3fit/layers/Preprocessing.py @@ -0,0 +1,89 @@ +from backends import MetaLayer +import numpy as np + +BASIS_SIZE = 8 +class Preprocessing(MetaLayer): + + def __init__(self, output_dim = BASIS_SIZE, trainable = True, flav_info = None, seed = 0, **kwargs): + self.output_dim = output_dim + self.trainable = trainable + self.flav_info = flav_info + self.seed = seed + super(MetaLayer, self).__init__(**kwargs) + + def compute_output_shape(self, input_shape): + return (input_shape[0], self.output_dim) + + def build(self, input_shape): + self.kernel = [] + for i in range(BASIS_SIZE * 2): + fl = int(i/2) + f = self.flav_info[fl]['fl'] + if i % 2: + name = "beta_{0}".format(f) + kind = 'largex' + else: + name = "alfa_{0}".format(f) + kind = 'smallx' + + limits = self.flav_info[fl][kind] + lm = limits[0] + lp = limits[1] + init = MetaLayer.select_initializer('random_uniform', minval = lm, maxval = lp, seed = self.seed + i) + const = self.constraint_MinMaxWeight(min_value = lm, max_value = lp) + + nw = self.builder_helper( + name = name, + kernel_shape = (1,), + initializer = init, + trainable = self.trainable, + constraint = const + ) + + self.kernel.append(nw) + + super(Preprocessing, self).build(input_shape) + + def call(self, x): + pdf_raw = self.concatenate([ + x**(1-self.kernel[0][0])*(1-x)**self.kernel[1][0], # sigma + x**(1-self.kernel[2][0])*(1-x)**self.kernel[3][0], # g + x**(1-self.kernel[4][0])*(1-x)**self.kernel[5][0], # v + x**(1-self.kernel[6][0])*(1-x)**self.kernel[7][0], # v3 + x**(1-self.kernel[8][0])*(1-x)**self.kernel[9][0], # v8 + x**(1-self.kernel[10][0])*(1-x)**self.kernel[11][0], # t3 = sigma + x**(1-self.kernel[12][0])*(1-x)**self.kernel[13][0], # t8 = sigma + x**(1-self.kernel[14][0])*(1-x)**self.kernel[15][0] # t15 c- + ], axis = 1) + return pdf_raw + +class Rotation(MetaLayer): + + def __init__(self, output_dim = 14, **kwargs): + self.output_dim = output_dim + super(MetaLayer, self).__init__(**kwargs, name = "evolution") + + def compute_output_shape(self, input_shape): + return (input_shape[0], self.output_dim) + + def call(self, x_raw): + x = self.transpose(x_raw) + pdf_raw_list = [ + 0*x[0], # photon + x[0], # sigma + x[1], # g + x[2], # v + x[3], # v3 + x[4], # v8 + x[2], # v15 + x[2], # v24 + x[2], # v35 + x[5], # t3 + x[6], # t8 + x[0]-4*x[7], # t15 (c-) + x[0], # t24 + x[0], # t35 + ] + pdf = self.concatenate( pdf_raw_list, target_shape = (self.output_dim, -1) ) + return self.transpose(pdf) + diff --git a/n3fit/layers/__init__.py b/n3fit/layers/__init__.py new file mode 100644 index 0000000000..4fd194ccd1 --- /dev/null +++ b/n3fit/layers/__init__.py @@ -0,0 +1,7 @@ +from layers.Preprocessing import Rotation, Preprocessing +from layers.Integration import xDivide, xIntegrator, MSR_Normalization, xMultiply +from layers.DIS import DIS +from layers.DY import DY +from layers.Mask import Mask +from backends import MetaLayer + diff --git a/n3fit/model_gen.py b/n3fit/model_gen.py new file mode 100644 index 0000000000..022df86d6d --- /dev/null +++ b/n3fit/model_gen.py @@ -0,0 +1,221 @@ +""" + Library of functions to generate the NN objects + + observable_generator: + Generates the output layers + pdfNN_layer_generator: + Generates the PDF NN layer to be fitted +""" + +from layers import DIS +from layers import DY +from layers import Mask +from layers import Preprocessing, Rotation + +from backends import operations +from backends import losses +from backends import MetaModel, MetaLayer +from backends import base_layer_selector, concatenate, Lambda + +import numpy as np +import pdb + +def observable_generator(spec_dict, positivity_initial = None, positivity_multiplier = 1.05, verbose = False, positivity_steps = 300): + """ + Receives a spec object (can be either a dataset or an experiment) + Takes some optional arguments: + positivity_initial: if given, set this number as the positivity multiplier for epoch 1 + positivity_multiplier: how much the positivity increases every 100 steps + positivity_steps: if positivity_initial is not given, computes the initial by assuming we want, after + 100*positivity_steps epochs, to have the lambda of the runcard + returns a tuple with: + (input_layer, obs_layer, loss function, exp_data) + - input_layer: list of input layers + - obs_layer: one single output layer + - loss_function: one single loss function + - exp_data: one single set of true data to compare to + """ + spec_name = spec_dict['name'] + model_inputs = [] + model_obs = [] + + # The first step is to generate an observable layer for each given datasets + for dataset_dict in spec_dict['datasets']: + dataname = dataset_dict['name'] + + # Choose which kind of observable are we dealing with, since this will define the convolution + if dataset_dict['hadronic']: + Obs_Layer = DY + else: + Obs_Layer = DIS + + # Define the operation (if any) + op = operations.c_to_py_fun(dataset_dict['operation'], name = dataname) + # Retrieve the list of fktables + fktable_list = dataset_dict['fktables'] + + obs_list = [] + input_list = [] + # Now generate an input and output layer for each sub_obs of the dataset + for i, fktable_dict in enumerate(fktable_list): + # Input layer + input_layer = operations.numpy_to_input( fktable_dict['xgrid'].T ) + input_list.append(input_layer) + # Output layer + obs_layer = Obs_Layer( output_dim = fktable_dict['ndata'], + fktable = fktable_dict['fktable'], + basis = fktable_dict['basis'], + name = "{0}_{1}".format(dataname, i), + input_shape = (14,) ) + obs_list.append( (input_layer, obs_layer) ) + + # Add the inputs to the lists of inputs of the model + model_inputs += input_list + # Append the combination of observable and the operation to be applied to the list of model_obs + model_obs.append( (op, obs_list) ) + + + + + def final_obs(pdf_layer): + all_ops = [] + for operation, observables in model_obs: + all_obs = [] + for i_layer, o_layer in observables: + all_obs.append( o_layer( pdf_layer( i_layer ) ) ) + all_ops.append(operation(all_obs)) + if len(all_ops) == 1: + return all_ops[0] + else: + return concatenate( all_ops, axis = 0, name = spec_name + "_full" ) + + if spec_dict['positivity']: + max_lambda = spec_dict['lambda'] + if not positivity_initial: + initial_lambda = max_lambda/pow(positivity_multiplier, positivity_steps) + else: + initial_lambda = positivity_initial + out_tr_mask = Mask(bool_mask = spec_dict['trmask'], c = initial_lambda, name = spec_name) + def out_tr(pdf_layer): + return out_tr_mask( final_obs(pdf_layer) ) + layer_info = { + 'inputs' : model_inputs, + 'output_tr' : out_tr, + 'loss_tr' : losses.l_positivity() + } + return layer_info + + # Now generate the mask layers to be applied to training and validation + out_tr_mask = Mask(bool_mask = spec_dict['trmask'], name = spec_name) + out_vl_mask = Mask(bool_mask = spec_dict['vlmask'], name = spec_name + "_val" ) + + + def out_tr(pdf_layer): + return out_tr_mask( final_obs(pdf_layer) ) + def out_vl(pdf_layer): + return out_vl_mask( final_obs(pdf_layer) ) + + + + # Generate the loss function as usual + invcovmat = spec_dict['invcovmat_true'] + loss = losses.l_invcovmat( invcovmat ) + + invcovmat_tr = spec_dict['invcovmat'] + loss_tr = losses.l_invcovmat(invcovmat_tr) + + invcovmat_vl = spec_dict['invcovmat_vl'] + loss_vl = losses.l_invcovmat(invcovmat_vl) + + layer_info = { + 'inputs' : model_inputs, + 'output' : final_obs, + 'loss' : loss, + 'output_tr' : out_tr, + 'loss_tr' : loss_tr, + 'output_vl' : out_vl, + 'loss_vl' : loss_vl, + } + + return layer_info + + + +def pdfNN_layer_generator(inp = 2, + nodes = [15, 8], activations = ['tanh', 'linear'], initializer_name = 'glorot_normal', layer_type = 'dense', + flav_info = None, out = 14, seed = None, dropout = 0.0): + """ + Generates a NN that takes as input the xgrid value and outputs the basis of 14 PDFs + fk tables use + """ + # Safety check + ln = len(nodes) + la = len(activations) + if ln > la: + activations = (ln-la)*['tanh'] + activations + print("Did not received enough activation functions, appending copies of the first activation foudn") + elif la > ln: + activations = activations[-ln:] + print("Received more activations than layers, using only the last ones") + + # If dropout == 0, don't add dropout layer + if dropout == 0.0: + dropme = -99 + else: # Add the dropout to the second to last layer + dropme = ln-2 + + # Layer generation + dl = [] + pre = inp + for i, (units, activation) in enumerate(zip(nodes, activations)): + if i == dropme and i != 0: + dl.append(base_layer_selector('dropout', rate = dropout)) + + init = MetaLayer.select_initializer(initializer_name, seed=seed+i) + + arguments = {'kernel_initializer' : init, 'units' : int(units), 'activation' : activation, + 'input_shape' : (pre,), + } + # Arguments that are not used by a given layer are just dropped + tmpl = base_layer_selector(layer_type, **arguments) + + dl.append(tmpl) + pre = int(units) + + if inp == 2: + add_log = Lambda( lambda x: concatenate([x, operations.op_log(x)], axis = 1) ) + def dense_me(x): + if inp == 1: + curr_fun = dl[0](x) + else: + curr_fun = dl[0](add_log(x)) + + for dense_layer in dl[1:]: + curr_fun = dense_layer(curr_fun) + return curr_fun + + # Preprocessing layer (will be multiplied to the last of the denses) + preproseed = seed + ln + layer_preproc = Preprocessing(input_shape = (1,), name = "pdf_prepro", flav_info = flav_info, seed = preproseed) + + # Evolution layer + layer_evln = Rotation(input_shape = (pre,), output_dim = out) + + # Generate multiplier layer + # multiplier = Multiply(name = "MultiplyPreproc") + + # Apply preprocessing + def layer_fitbasis(x): + return operations.op_multiply( [dense_me(x), layer_preproc(x)] ) + + # Rotation layer, changes from the 8-basis to the 14-basis + def layer_pdf(x): + return layer_evln( layer_fitbasis(x) ) + + dict_layers = { + 'denses' : dense_me, # The set of the N dense layers + 'preprocessing' : layer_preproc, # The layer that applies preprocessing + 'fitbasis' : layer_fitbasis # Applied preprocessing to the output of the denses + } + + return layer_pdf, dict_layers diff --git a/n3fit/n3fit.py b/n3fit/n3fit.py new file mode 100755 index 0000000000..4dc3878273 --- /dev/null +++ b/n3fit/n3fit.py @@ -0,0 +1,180 @@ +#!/usr/bin/env python +""" + n3fit - performs fit using ml external frameworks +""" + +import sys +import re +import shutil +import pathlib +import logging +import hashlib +import warnings +import argparse + +from validphys.app import App +from validphys.config import Environment, Config +from validphys.config import EnvironmentError_, ConfigError +from reportengine import colors +from reportengine.compat import yaml + + +N3FIT_FIXED_CONFIG = dict( + use_cuts = 'internal', + use_t0 = True, + actions_ = ['datacuts::theory fit'] +) + +N3FIT_PROVIDERS = ['fit'] + +log = logging.getLogger(__name__) + +RUNCARD_COPY_FILENAME = 'filter.yml' + + +class N3FitError(Exception): + """Exception raised when n3fit cannot succeed and knows why""" + pass + + +class N3FitEnvironment(Environment): + """Container for information to be filled at run time""" + def init_output(self): + # check file exists, is a file, has extension. + if not self.config_yml.exists(): + raise N3FitError("Invalid runcard. File not found.") + else: + if not self.config_yml.is_file(): + raise N3FitError("Invalid runcard. Must be a file.") + + # check if results folder exists + self.output_path = pathlib.Path(self.output_path).absolute() + if not self.output_path.exists(): + if not re.fullmatch(r'[\w.\-]+', self.output_path.name): + raise N3FitError("Invalid output folder name. Must be alphanumeric.") + try: + self.output_path.mkdir() + pathlib.Path(self.output_path / 'nnfit').mkdir() + except OSError as e: + raise EnvironmentError_(e) from e + + try: + shutil.copy2(self.config_yml, self.output_path / RUNCARD_COPY_FILENAME) + except shutil.SameFileError: + pass + + # create output folder for the fit + self.replica_path = self.output_path / 'nnfit' + for replica in self.replica: + path = self.replica_path / 'replica_{0}'.format(replica) + log.info('Creating replica output folder in {0}'.format(path)) + try: + path.mkdir(exist_ok=True) + except OSError as e: + raise EnvironmentError_(e) from e + + + @classmethod + def ns_dump_description(cls): + return {'replica': 'The MC replica number', + 'replica_path': 'The replica output path', + 'output_path': 'The runcard name', + 'hyperopt': 'The hyperopt flag', + 'create_test_card' : 'Create test card flag', + **super().ns_dump_description()} + + +class N3FitConfig(Config): + """Specialization for yaml parsing""" + + @classmethod + def from_yaml(cls, o, *args, **kwargs): + try: + with warnings.catch_warnings(): + warnings.simplefilter('ignore', + yaml.error.MantissaNoDotYAML1_1Warning) + #We need to specify the older version 1.1 to support the + #older configuration files, which liked to use on/off for + #booleans. + #The floating point parsing yields warnings everywhere, which + #we suppress. + file_content = yaml.safe_load(o, version='1.1') + except yaml.error.YAMLError as e: + raise ConfigError(f"Failed to parse yaml file: {e}") + if not isinstance(file_content, dict): + raise ConfigError(f"Expecting input runcard to be a mapping, " + f"not '{type(file_content)}'.") + file_content.update(N3FIT_FIXED_CONFIG) + return cls(file_content, *args, **kwargs) + + +class N3FitApp(App): + """The class which parsers and performs the fit""" + environment_class = N3FitEnvironment + config_class = N3FitConfig + + def __init__(self): + super(N3FitApp, self).__init__(name='n3fit', + providers=N3FIT_PROVIDERS) + + @property + def argparser(self): + parser = super().argparser + parser.add_argument('-o', '--output', + help='Output folder and name of the fit', + default=None) + parser.add_argument('--hyperopt', + help='Enable hyperopt scan', + default=None, type=int) + parser.add_argument('--create_test_card', + help='Generates a new runcard where some datasets are only used for a test set (only hyperopt)', + action='store_true') + + def check_positive(value): + ivalue = int(value) + if ivalue <= 0: + raise argparse.ArgumentTypeError("%s is an invalid positive int value." % value) + return ivalue + + parser.add_argument('replica', + help='MC replica number', type=check_positive) + parser.add_argument('-r', '--replica_range', + help = 'End of the range of replicas to compute', type=check_positive) + return parser + + def get_commandline_arguments(self, cmdline=None): + args = super().get_commandline_arguments(cmdline) + if args['output'] is None: + args['output'] = pathlib.Path(args['config_yml']).stem + return args + + def run(self): + try: + self.environment.config_yml = pathlib.Path(self.args['config_yml']).absolute() + replica = self.args['replica'] + if self.args['replica_range']: + replicas = list(range(replica, self.args['replica_range']+1)) + else: + replicas = [replica] + from pdb import set_trace + self.environment.replica = replicas + self.environment.hyperopt = self.args['hyperopt'] + if self.args['create_test_card']: + self.environment.create_test_card = self.environment.config_yml + else: + self.environment.create_test_card = None + super().run() + except N3FitError as e: + log.error(f'Error in n3fit:\n{e}') + sys.exit(1) + except Exception as e: + log.critical(f'Bug in n3fit ocurred. Please report it.') + print( + colors.color_exception(e.__class__, e, e.__traceback__), + file=sys.stderr) + sys.exit(1) + + +if __name__ == '__main__': + a = N3FitApp() + a.main() diff --git a/n3fit/plotting.py b/n3fit/plotting.py new file mode 100755 index 0000000000..357f810f15 --- /dev/null +++ b/n3fit/plotting.py @@ -0,0 +1,691 @@ +#!/usr/bin/env python3 + +""" + Script to plot the hyperopt scans +""" + +import pandas as pd +import numpy as np +import matplotlib.pyplot as plt +import seaborn as sns + +import itertools +import os +import json +import warnings +warnings.simplefilter(action = 'ignore', category = FutureWarning) + +from pdb import set_trace + +import re +regex_op = re.compile("[^\w^\.]+") +regex_not_op = re.compile("[\w\.]+") + +keywords = { + 'id' : 'iteration', + + 'optimizer' : 'optimizer', + 'lr' : 'learning_rate', + 'initializer' : 'initializer', + 'dropout' : 'dropout', + + 'nodes' : 'nodes_per_layer', + 'max_layers' : 4, + 'nl' : 'number_of_layers', + 'activation' : 'activation_per_layer', + 'architecture' : 'layer_type', + + 'epochs' : 'epochs', + 'stp' : 'stopping_patience', + 'ste' : 'stopping_epochs', + 'p_ini' : 'pos_initial', + 'p_mul' : 'pos_multiplier', + + 'good' : 'good', + 'vl' : 'validation_loss', + 'tl' : 'testing_loss', + 'loss' : 'loss', + } + +# 0 = normal scatter plot, 1 = violin, 2 = log +plotting_keys = [ + (keywords['id'], 0), + (keywords['optimizer'], 1), + (keywords['lr'], 2, [2e-4, 4e-1]), + (keywords['initializer'], 1), + + (keywords['epochs'], 0), + (keywords['ste'], 0), + (keywords['stp'], 0), + (keywords['p_mul'], 0), + + (keywords['nl'], 1), + (keywords['activation'], 1), + (keywords['dropout'], 0), + (keywords['tl'], 0), + + ] + +# for i in range(4): +# plotting_keys.append( ('layer_{0}'.format(i+1),0) ) + + +# Family parsing +def optimizer_parse(trial, dict_out): + """ + This function parses the family of parameters which regards the optimizer: + + optimizer + learning_rate (when it exists) + initializer + dropout + """ + opt = trial['misc']['space_vals'][keywords['optimizer']] + if isinstance(opt, dict): + # if it is a dict the optimizer includes extra information + name = opt[keywords['optimizer']] + lr = opt[keywords['lr']] + else: + name = opt + lr = None + ini = trial['misc']['space_vals'][keywords['initializer']] + dropout_rate = trial['misc']['space_vals'][keywords['dropout']] + + + dict_out[keywords['optimizer']] = name + dict_out[keywords['lr']] = lr + dict_out[keywords['initializer']] = ini + dict_out[keywords['dropout']] = dropout_rate + + +def architecture_parser(trial, dict_out): + """ + This function parses the family of parameters which regards the architecture of the NN + + number_of_layers + activation_per_layer + nodes_per_layer + l1, l2, l3, l4... max_layers + layer_type + """ + nodes_per_layer = trial['misc']['space_vals'][keywords['nodes']] + nl = len(nodes_per_layer) - 1 + activation_name = trial['misc']['space_vals'][keywords['activation']][0] + architecture = trial['misc']['space_vals'][keywords['architecture']] + + dict_out[keywords['nodes']] = nodes_per_layer + dict_out[keywords['nl']] = nl + dict_out[keywords['activation']] = activation_name + dict_out[keywords['architecture']] = architecture + + # In principle we might be checking any number of layers, + # so it is important to make sure that the maximum number of layers + # (which will be used at plotting time) is correct + if nl > keywords['max_layers']: + keywords['max_layers'] = nl + + + for i in range(keywords['max_layers']): + dict_out['layer_{0}'.format(i+1)] = None + + for i, nodes in enumerate(nodes_per_layer[:-1]): + dict_out['layer_{0}'.format(i+1)] = nodes + + +def stopping_parser(trial, dict_out): + """ + Parses the family of parameters that define the stopping + + epochs + stopping_patience + pos_initial + pos_multiplier + """ + + epochs = trial['misc']['space_vals'][keywords['epochs']] + patience = trial['misc']['space_vals'][keywords['stp']] + stop_ep = patience*epochs + positivity_initial = trial['misc']['space_vals'][keywords['p_ini']] + positivity_multiplier = trial['misc']['space_vals'][keywords['p_mul']] + + dict_out[keywords['epochs']] = epochs + dict_out[keywords['stp']] = patience + dict_out[keywords['ste']] = stop_ep + dict_out[keywords['p_ini']] = positivity_initial + dict_out[keywords['p_mul']] = positivity_multiplier + + +def stat_parser(trial, dict_out, threshold = 1e3, val_f = 0.5, **kwargs): + """ + Parser the stats information of the trial, the losses, the failures, etc + """ + test_f = 1.0 - val_f + validation_loss = trial['result'][keywords['vl']] + testing_loss = trial['result'][keywords['tl']] + loss = validation_loss*val_f + testing_loss*test_f + + if testing_loss < threshold and validation_loss < threshold: + good_result = True + else: + good_result = False + + # Was this a ok run? + if trial['result']['status'] != 'ok': + ok = False + else: + ok = good_result + + if not good_result: + # Set bad results to be an order of magnitude above everything else + loss = threshold*10 + + dict_out[keywords['good']] = ok + dict_out[keywords['loss']] = loss + dict_out[keywords['vl']] = validation_loss + dict_out[keywords['tl']] = testing_loss + + +def filter_by_string(data_dict, filter_string): + """ + Receives a data_dict (a parsed trial) and a filter string, returns True if the trial passes the filter + + filter string must have the format: key[]string + where [] can be any of !=, =, >, < + """ + match = regex_not_op.findall(filter_string) + if len(match) < 2: + raise Exception("Filter str is not correct: {0}".format(filter_string)) + filter_key = match[0] + filter_val = match[1] + + if filter_key in keywords.keys(): + filter_key = keywords[filter_key] + + val_check = data_dict[filter_key] + if val_check is None: # NaN means it does not apply + return True + + operator = regex_op.findall(filter_string)[0] + + if operator == "=": operator = "==" + operators = ["!=", "==", ">", "<"] + if operator not in operators: + raise Exception("Filter string not valid, operator not recognized {0}".format(filter_string)) + + # This I know it is not ok: + if isinstance(val_check, str) and isinstance(filter_val, str): + check_str = '"{0}"{1}"{2}"' + else: + check_str = '{0}{1}{2}' + try: + return eval(check_str.format(val_check, operator, filter_val)) + except: + return False + + +# General parsing +def trial_parser(trial, filter_me = None, **kwargs): + """ + Trials are very convoluted object, very branched inside + The goal of this function is to separate said branching so we can create hierarchies + """ + # Is this a true trial + if trial['state'] != 2: + return None + + + + data_dict = {} + # Parse all information in easy to use dictionaries + optimizer_parse(trial, data_dict) + architecture_parser(trial, data_dict) + stopping_parser(trial, data_dict) + stat_parser(trial, data_dict, **kwargs) + + + # If a filter is set, check whether the trial pass the filter + if filter_me: + for filter_str in filter_me: + if not filter_by_string(data_dict, filter_str): + return None + + return data_dict + +def filter_trials(input_trials, **kwargs): + """ + Applies the search algorithm to all the different trials to find the true best model + """ + # First step is to fill in two different + failed_trials = [] + ok_trials = [] + + full_info = [] + for tid, trial in enumerate(input_trials): + trial_dict = trial_parser(trial, **kwargs) + if trial_dict is None: + continue + trial_dict[keywords['id']] = tid + full_info.append(trial_dict) + + return full_info + + +def order_axis(df, bestdf, key): + """ + Helper function for ordering the axis and make sure the best is always first + """ + best_x_lst = bestdf.get(key).tolist() + ordering = set(df.get(key).tolist()) + ordering.remove(best_x_lst[0]) + ordering_true = best_x_lst + list(ordering) + best_x = np.array([str(best_x_lst[0])]) + return ordering_true, best_x + +def plot_scans(df, best_df, outfile): + """ + This function plots all trials in a nice multiplot + """ + # Some printouts + print("All trials:") + print(df) + + print('Best setup:') + with pd.option_context('display.max_rows', None, 'display.max_columns', None): + print(best_df) + + # Append extra keys for the number of possible layers + for i in range(keywords['max_layers']): + plotting_keys.append( ('layer_{0}'.format(i+1),4) ) + + + # Create a grid of plots + nplots = len(plotting_keys) + _, axs = plt.subplots(4, nplots//4, sharey=True, figsize=(30,30)) + + # Set the quantity we will be plotting in the y axis + loss_k = keywords['loss'] + + for ax, key_tuple in zip(axs.reshape(-1), plotting_keys): + key = key_tuple[0] + mode = key_tuple[1] + + if mode == 0 or mode == 2: # normal scatter plot + ax = sns.scatterplot(x = key, y = loss_k, data = df, ax = ax) + best_x = best_df.get(key) + if mode == 2: + ax.set_xscale('log') + ax.set_xlim( key_tuple[2] ) + elif mode == 1: + ordering_true, best_x = order_axis(df, best_df, key=key) + ax = sns.violinplot(x=key, y=loss_k, data=df, ax=ax, palette="Set2",cut=0.0, order= ordering_true) + ax = sns.stripplot(x=key, y=loss_k, data=df, ax=ax, color="gray", order=ordering_true, alpha=0.4) + elif mode == 4: # The nodes per layer is a special case because we want to know to which total number of layers they correspond + ordering_true, _ = order_axis(df, best_df, key=keywords['nl']) + best_x = best_df.get(key) + for l in ordering_true: + plot_data = df[df[keywords['nl']] == l] + label = 'layers = {0}'.format(l) + ax = sns.scatterplot(x = key, y=loss_k, data=plot_data, ax=ax, label=label) + ax.legend() + + # Finally plot the "best" one, which will be first + ax = sns.scatterplot(x = best_x, y = best_df.get(loss_k), ax = ax, color = 'orange', marker='s') + ax.set_ylabel('Loss') + ax.set_xlabel(key) + + plt.savefig(f'{outfile}', bbox_inches="tight") + +def draw_histogram(dataframe, key, plotable = 'loss', columns = 2): + values = set(dataframe[key]) + nv = len(values) + rows = np.ceil(nv/columns) + + for i, value in enumerate(values): + plt.subplot(rows, columns, i+1) + data = dataframe[ dataframe[key] == value ] + plt.hist(data[plotable], 20) + plt.xlabel(value) + plt.show() + + +def print_stats(dataframe, + stats_keys = ['optimizer', 'nl', 'initializer', 'activation'], + n_combinations = 2, verbose = True, return_early = False, + how_many_to_kill = 2, remove_by_key = False, save_n_best = 10, + **kwargs + ): + """ + Print statistics on failure rates, averages and so + """ + + # Ok, at this point I have a dataframe with all the content from the json. + # if filters or changes on the threshold for the loss are active, the dataframe would + # already be filtered and all information ready + + def read_key(key): + if key in keywords.keys(): + key_name = keywords[key] + else: + key_name = key + return key_name + def kclean(l): + return [read_key(i) for i in l] + def remove_key(dictionary, key): + new_d = dictionary.copy() + new_d.pop(key) + return new_d + def gen_key_info(full_dataframe, keys): + key_info = {} + for key_name in keys: + all_possible_values = full_dataframe[key_name] + remove_nans = filter(lambda x: x==x, all_possible_values) + remove_duplicates = sorted(list(set(remove_nans))) + if remove_duplicates: + key_info[key_name] = remove_duplicates + return key_info + def get_slice(full_dataframe, key, value): + return full_dataframe[ full_dataframe[key] == value ] + + from HyperAlgorithm import HyperAlgorithm + + keys_lv_0 = kclean(['optimizer', 'number_of_layers']) + keys_lv_1 = kclean(['epochs', 'stopping_patience', 'activation']) + keys_lv_2 = kclean(['p_mul', 'p_ini', 'learning_rate']) + + keys_for_removal = keys_lv_0 + keys_lv_1 + + key_info_full = gen_key_info(dataframe, keys_for_removal) + hypalg = HyperAlgorithm(key_info = key_info_full) + trim_dataframe = hypalg.remove_failing(dataframe) + key_info_trim = gen_key_info(trim_dataframe, keys_for_removal) + hypalg = HyperAlgorithm(key_info = key_info_trim) + + decision_tree = {} + + key_0 = keys_lv_0[0] + options_0 = key_info_trim[key_0] + for val in options_0: + print("For {0}".format(val)) + full_slice = get_slice(trim_dataframe, key_0, val) + trim_slice = hypalg.remove_failing(full_slice) + for key in keys_for_removal[1:]: + trim_slice = hypalg.remove_failing(trim_slice, key = key, fail_threshold = 0.0) + # At this point I've already removed the worst worst ones, now we can create the "decision_tree" + tree_key_info = gen_key_info(trim_slice, keys_lv_0[0:]) + decision_tree[val] = (tree_key_info, trim_slice) + + print("\n\n") + verbose = False + + final_decision_tree = {} + key_1 = keys_lv_0[1] + for val_0, info in decision_tree.items(): + keys = info[0] + f_slice = info[1] + options_1 = keys[key_1] + if verbose: print("For {0}, accepted options are: {1}={2}".format(val_0, key_1, options_1)) + final_decision_tree[val_0] = {} + for val in options_1: + print(val) + trim_slice = get_slice(f_slice, key_1, val) + for key_name in keys_for_removal[2:]: + trim_slice = hypalg.remove_failing(trim_slice, key = key_name, fail_threshold = 0.0, verbose = False) + # Save the final slice for this branch of the tree + final_decision_tree[val_0][val] = trim_slice + + # Now for each branch let's look at the rewards + final_answer = {} + for val_0, item_0 in final_decision_tree.items(): + if verbose: print("For {0}".format(val_0)) + final_answer[val_0] = {} + for val_1, item_1 in item_0.items(): + if verbose: print("\n\nFor {0}".format(val_1)) + # Now remove half of the combinations but only looking at the level_1 keys + key_info_lv1 = gen_key_info(item_1, keys_lv_1) + falg = HyperAlgorithm(key_info = key_info_lv1) + n1 = len(key_info_lv1) + trim_slice = falg.remove_failing(item_1, n_combinations = n1, fail_threshold = 'median', verbose = False) + # Now do the same with the level 2, remove the worst half + key_info_lv2 = gen_key_info(trim_slice, keys_lv_2) + falg = HyperAlgorithm(key_info = key_info_lv2) + n2 = len(key_info_lv2) + final_slice = falg.remove_failing(trim_slice, n_combinations = n2, fail_threshold = 'median', verbose = False) + # Now print the ranges + print_ranges = keys_lv_1 + keys_lv_2 + print(""" +For {0} = {1} + {2} = {3}""".format(key_0, val_0, key_1, val_1)) + palg = HyperAlgorithm(key_info = gen_key_info(final_slice, print_ranges)) + palg.print_ranges(final_slice, dataframe_original = item_1) + + return + + + + + #key_priority_raw = ["architecture", "optimizer", "number_of_layers", "epochs", "activation"] + key_priority_raw = ["optimizer", "epochs", "number_of_layers", "learning_rate", "activation", "layer_1", "layer_2", "layer_3"] + key_priority = [ read_key(i) for i in key_priority_raw ] + # Now, for each key we need to get all the possible options + + key_info = gen_key_info(dataframe) + # Now that we have all the options we need to go in priority order + + + + + # 1. Remove the failing entries (i.e., reward == failing reward) + hypalg = HyperAlgorithm(key_info = key_info) + trim_dataframe = hypalg.remove_failing(dataframe) + # 1.b Regenerate key_info + key_info = gen_key_info(trim_dataframe) + + # 2. Now fix the optimizer and continue + key_0 = key_priority[0] # optimizer + options_0 = key_info[key_0] + key_info_0 = remove_key(key_info, key_0) + hypalg = HyperAlgorithm(key_info = key_info_0) + for val in options_0: + print("\n\n") + print(val) + f_slice = trim_dataframe[ trim_dataframe[key_0] == val ] + # First remove all failing keys + trim_slice = hypalg.remove_failing(f_slice) + for key_name in key_priority[1:]: + print(">") + print(key_name) + trim_slice = hypalg.remove_failing(trim_slice, key = key_name, fail_threshold = 0.0) + hypalg.print_ranges(trim_slice, dataframe_original = f_slice) + + + set_trace() + + + # Create a key_info dict with one entry removed for each key + key_infos = [] + last_k = key_info + for key_name in key_priority: + last_k = remove_key(last_k, key_name) + key_infos.append(last_k) + + + + + key_0 = key_priority[0] + options_0 = key_info[key_0] + slices_0 = [] + key_info_0 = { key_priority[1] : key_info[key_priority[1]] } + hyperalg_0 = HyperAlgorithm(key_info = key_info) + hyperalg_0.check_wrapper_weaklings_killer(dataframe, 1) + for option_0 in options_0: + slices_0.append(dataframe[ dataframe[key_0] == option_0 ]) + for slice_0 in slices_0: + # check the rewards, if some are particularly bad, kill them + _ = hyperalg_0.check_wrapper_weaklings_killer(slice_0, 1) + # entonce smatamos primero los epochs por ejemplo + # con los epochs malos eliminados, miramos el numbeor de layers + # y eliminamos los dos peores (nos quedamos con la mitad) + # luego para cada uno nos quedamos con el set de numero de nodos que tiene mejor pinta + # y asi + set_trace() + + + + + + + + + def print_me(string): + if verbose: + print(string) + + def kill_val(key, name): + dataframe.loc[ dataframe[key] == name, keywords['good'] ] = False + + def process_slice(df_slice): + """ Function to process a slice into a dictionary with interesting stats """ + md = {} + good = df_slice[ df_slice[keywords['good']] ] + md['n_total'] = len(df_slice) + md['n_good'] = len(good) + md['n_failed'] = md['n_total'] - md['n_good'] + if md['n_total'] == 0: + f_rate = None + else: + f_rate = md['n_failed']/md['n_total']*100 + md['f_rate'] = f_rate + + # Compute for each the best loss (among the good ones) and the std dev + good_losses = good[ keywords['loss'] ] + md['best_loss'] = good_losses.min() + md['std'] = good_losses.std() + return md + ############################### + + # Parse the keys into a dict of { 'keyname' : [possible, values] } + key_info = {} + for key in stats_keys: + if key in keywords.keys(): + key_name = keywords[key] + else: + key_name = key + possible_values = list( + set( + filter( lambda x: x == x, dataframe[key_name] ) + ) + ) + key_info[key_name] = possible_values + + from HyperAlgorithm import HyperAlgorithm + hyperalg = HyperAlgorithm(key_info = key_info, fail_threshold=65, how_many_to_kill = how_many_to_kill, remove_by_key = remove_by_key ) + + # First run over all keys and print_me the information for them to see the general picture + + # Perform a genocide for every reward below the threshold for 1 combination and then 2 the same with combinations of 2 + new_dataframe = hyperalg.check_wrapper_weaklings_killer(dataframe, 1) + new_dataframe = hyperalg.check_wrapper_weaklings_killer(new_dataframe, 2) + set_trace() + new_dataframe = hyperalg.check_wrapper_weaklings_killer(new_dataframe, 1) + new_dataframe = hyperalg.check_wrapper_weaklings_killer(new_dataframe, 2) + set_trace() + new_dataframe = hyperalg.check_wrapper_weaklings_killer(new_dataframe, 3) + + +# for i in range(1, n_combinations): +# new_dataframe = hyperalg.check_wrapper(new_dataframe, i, kill = True) + # For the last one, only the n_best surviv + new_dataframe = hyperalg.check_wrapper(new_dataframe, n_combinations, kill = True, save_n_best = save_n_best) + + # Finally print the survivors + hyperalg.print_ranges(new_dataframe, dataframe_original = dataframe) + +# Wrapper +def generate_scan_report_from_file(replica_path, json_name = "tries.json", include_failures = False, histogram = None, stats = False, **kwargs): + """ + Read json file and generate a the corresponding scan report + """ + filename = "{0}/{1}".format(replica_path, json_name) + + # Open the file and reads it as a json + with open(filename, 'r') as jlist: + input_trials = json.load(jlist) + + # Read all trials and create a list of dictionaries + trials_dictionary = filter_trials(input_trials, **kwargs) + + # Make the list of dictionaries into a dataframe + dataframe_raw = pd.DataFrame(trials_dictionary) + + # If we just want to print stats, do that and exit + if stats: + print_stats(dataframe_raw, **kwargs) + return + + # Now select whether we want only good trials or rather all of them + if include_failures: + dataframe = dataframe_raw + else: + dataframe = dataframe_raw[ dataframe_raw['good'] ] + + + + # Now select the best one + best_idx = dataframe.loss.idxmin() + best_trial = dataframe.ix[best_idx] + # Select it in this a bit more complicatted way for the plotting code to work ???? + best_trial = dataframe[ dataframe[keywords['id']] == best_trial.get(keywords['id'])] + + if histogram: + draw_histogram(dataframe, histogram) + + + + # Plot the plot + fileout = f'{replica_path}/scan.pdf' + plot_scans(dataframe, best_trial, fileout) + print("Plot saved at {0}".format(fileout)) + + +if __name__ == "__main__": + from argparse import ArgumentParser + import glob + + parser = ArgumentParser() + parser.add_argument("folder", help = "Fit folder") + parser.add_argument("-v", "--val_multiplier", help = 'Fraction to weight the validation loss with (test_multiplier = 1-val_multiplier)', + type = float, default = 0.5) + parser.add_argument("-if", "--include_failures", help = 'Flag to include failed runs in the plots', action = 'store_true') + parser.add_argument("-t", "--threshold", help = 'Value of the loss function from which to consider a run to have failed', + type = float, default = 1e3) + parser.add_argument("-dh", "--histogram", help = 'Write a histogram for a given key') + parser.add_argument("-f", "--filter", help = "Add the filter key=value to the dataframe", nargs = '+') + parser.add_argument("-s", "--stats", help = "Print stats on the run instead of plotting", action = 'store_true') + parser.add_argument("-k", "--stats_keys", help = "When using toghether with -s, chooses which keys to look at", + default = ['optimizer', 'number_of_layers', 'initializer', 'layer_1', 'layer_2', 'layer_3', 'layer_4', 'learning_rate', 'epochs'], + nargs = '+') + parser.add_argument("--ncombinations", help = "When using together with -s, chooses how many keys to combine", type = int, default = 2) + parser.add_argument("--n_to_remove", help = "Number of worst values (by reward) to remove", type = int, default = 2) + parser.add_argument("--remove_by_key", help = "Remove by key instead of by the worst of all combinations", action = "store_true") + parser.add_argument("--save_n_best", help = "Prints the n best models as a range", type = int, default = 10) + args = parser.parse_args() + + # Search for all json for all replicas + search_str = "{0}/nnfit/replica_*/tries.json".format(args.folder) + all_json = glob.glob(search_str) + + for json_path in all_json: + replica_path = os.path.dirname(json_path) + generate_scan_report_from_file(replica_path, + val_f = args.val_multiplier, + include_failures = args.include_failures, + threshold = args.threshold, + histogram = args.histogram, + filter_me = args.filter, + stats = args.stats, + stats_keys = args.stats_keys, + n_combinations = args.ncombinations, + how_many_to_kill = args.n_to_remove, + remove_by_key = args.remove_by_key, + save_n_best = args.save_n_best, + ) diff --git a/n3fit/reader.py b/n3fit/reader.py new file mode 100644 index 0000000000..0f33b2ec21 --- /dev/null +++ b/n3fit/reader.py @@ -0,0 +1,256 @@ +""" + Library of function for reading NNPDF objects +""" +import numpy as np +from pdb import set_trace +import hashlib +import copy + +from NNPDF import FKTable, DataSet, FKSet, CommonData, RandomGenerator +from validphys.core import ExperimentSpec as vp_Exp +from validphys.core import DataSetSpec as vp_Dataset + +def make_tr_val_mask(datasets, exp_name, seed): + # Set the seed for the experiment + nameseed = int(hashlib.sha256(exp_name.encode()).hexdigest(), 16) % 10**8 + nameseed += seed + np.random.seed(nameseed) + + trmask_partial = [] + vlmask_partial = [] + for dataset_dict in datasets: + ndata = dataset_dict['ndata'] + frac = dataset_dict['frac'] + trmax = int(frac*ndata) + mask = np.concatenate([np.ones(trmax, dtype=np.bool), + np.zeros(ndata-trmax, dtype=np.bool)]) + np.random.shuffle(mask) + trmask_partial.append(mask) + vlmask_partial.append(mask == False) + trmask = np.concatenate(trmask_partial) + vlmask = np.concatenate(vlmask_partial) + + return trmask, vlmask + +def fk_parser(fk, is_hadronic = False): + """ + Input: fktable object + Output: + - dictionary with information about the fktable: + {'xgrid', 'nx', 'ndata', 'basis', 'fktable'} + - fktable: numpy array representation of the fktable reshaped to be of shape (n datapoints, n flavours, n x) + """ + + # Dimensional information + nonzero = fk.GetNonZero() + ndata = fk.GetNData() + nx = fk.GetTx() + + # Basis of active flavours + nbasis = nonzero + basis = fk.get_flmap() + + # Read the xgrid and the fktable to numpy arrays + xgrid_flat = fk.get_xgrid() + fktable_flat = fk.get_sigma() + + # target shape + if is_hadronic: + nxsqrt = int(np.sqrt(nx)) + shape_out = (ndata, nbasis, nxsqrt, nxsqrt) + xgrid = xgrid_flat.reshape(1, nxsqrt) + else: + shape_out = (ndata, nbasis, nx) + xgrid = xgrid_flat.reshape(1, nx) + + # remove padding from the fktable (if any) + l = len(fktable_flat) + # get the padding + pad_position = fk.GetDSz() + pad_size = fk.GetDSz() - nx*nonzero + # remove the padding + if pad_size > 0: + mask = np.ones(l, dtype=bool) + for i in range(1, int(l/pad_position) + 1 ): + marker = pad_position*i + mask[ marker-pad_size : marker ] = False + fktable_array = fktable_flat[mask] + else: + fktable_array = fktable_flat + # reshape + fktable = fktable_array.reshape( shape_out ) + + dict_out = { + 'ndata' : ndata, + 'nbasis': nbasis, + 'nonzero': nbasis, + 'basis' : basis, + 'nx' : nx, + 'xgrid': xgrid, + 'fktable' : fktable, + } + return dict_out + + +def common_data_reader_dataset(dataset_c, dataset_spec): + """ Import fktable, common data and experimental data for the given data_name + Returns a (len 0 list of) dictionary with: + - dataset: full dataset object from which all data has been extracted + - hadronic: is hadronic? + - operation: operation to perform on the fktables below + - fktables : a list of dictionaries with the following items + - ndata: number of data points + - nonzero/nbasis: number of PDF entries which are non zero + - basis: array containing the information of the non-zero PDF entries + - nx: number of points in the xgrid (1-D), i.e., for hadronic the total number is nx * nx + - xgrid: grid of x points + - fktable: 3/4-D array of shape (ndata, nonzero, nx, (nx)) + + If the flag return_raw is set to true, returns the dataset_dict direcly + instead of the dictionary object that model_gen needs + """ + how_many = dataset_c.GetNSigma() + dict_fktables = [] + for i in range(how_many): + fktable = dataset_c.GetFK(i) + dict_fktables.append(fk_parser(fktable, dataset_c.IsHadronic())) + + dataset_dict = { + 'fktables' : dict_fktables , + 'hadronic' : dataset_c.IsHadronic(), + 'operation' : dataset_spec.op, + 'name' : dataset_c.GetSetName(), + 'frac' : dataset_spec.frac, + 'ndata' : dataset_c.GetNData() + } + + return [dataset_dict] + + +def common_data_reader_experiment(experiment_c, experiment_spec): + parsed_datasets = [] + for dataset_c, dataset_spec in zip(experiment_c.DataSets(), experiment_spec.datasets): + parsed_datasets += common_data_reader_dataset(dataset_c, dataset_spec) + return parsed_datasets + + + +def common_data_reader(spec, t0pdfset, replica_seeds = [], trval_seeds = [0]): + """ + Wrapper to read the information from validphys object + This function receives either a validphyis experiment or dataset objects + andSreturns a dictionary with: + - datasets: list of dtaset dictionaries + - invcovmat: inverse of the covariant matrix + - expdata: experimental data (len(expdata) = ndata) + - ndata: number of data points + - experiment: True/False, is it an experiment? + """ + # TODO + # This whole thing would be much more clear / streamlined if + # - The c experiment/dataset object had all the required information for the fit + # (i.e., there is a swig conversion for everything, right now missing the operator) + # - The python object stored the load within the spec when doing spec.load() this way it would not be necessary to load twice + # - The python object had all necessary information (same as point 1 but inverted) + + spec_c = spec.load() + ndata = spec_c.GetNData() + expdata_true = spec_c.get_cv().reshape(1, ndata) + spec_c.SetT0(t0pdfset) + base_mcseed = int(hashlib.sha256(str(spec).encode()).hexdigest(), 16) % 10**8 + + if replica_seeds: + all_expdatas = [] + else: + all_expdatas = [expdata_true.reshape(ndata)] + + + for replica_seed in replica_seeds: + spec_replica = copy.deepcopy(spec) + spec_replica_c = spec_replica.load() # I might need the t0 set here as well + + # Replica generation + mcseed = base_mcseed + replica_seed + RandomGenerator.InitRNG(0, mcseed) + spec_replica_c.MakeReplica() + all_expdatas.append( spec_replica_c.get_cv() ) + + #spec_c = spec_replica_c + + if isinstance(spec, vp_Exp): + datasets = common_data_reader_experiment(spec_c, spec) + elif isinstance(spec, vp_Dataset): + datasets = common_data_reader_dataset(spec_c, spec) + else: + print("reader.py: common_data_reader, didn't understood spec type") + print(type(spec)) + raise Exception("Wrong datatype in reader.py") + + exp_name = spec.name + covmat = spec_c.get_covmat() + + # Now it is time to build the masks for the training validation split + all_dict_out = [] + for expdata, trval_seed in zip(all_expdatas, trval_seeds): + tr_mask, vl_mask = make_tr_val_mask(datasets, exp_name, seed=trval_seed) + + covmat_tr = covmat[tr_mask].T[tr_mask] + ndata_tr = np.count_nonzero(tr_mask) + expdata_tr = expdata[tr_mask].reshape(1, ndata_tr) + invcovmat_tr = np.linalg.inv(covmat_tr) + + covmat_vl = covmat[vl_mask].T[vl_mask] + ndata_vl = np.count_nonzero(vl_mask) + expdata_vl = expdata[vl_mask].reshape(1, ndata_vl) + invcovmat_vl = np.linalg.inv(covmat_vl) + + dict_out = { + 'datasets' : datasets, + 'name' : exp_name, + 'expdata_true' : expdata_true, + 'invcovmat_true' : np.linalg.inv(covmat), + + 'trmask' : tr_mask, + 'invcovmat' : invcovmat_tr, + 'ndata' : ndata_tr, + 'expdata' : expdata_tr, + + 'vlmask' : vl_mask, + 'invcovmat_vl' : invcovmat_vl, + 'ndata_vl' : ndata_vl, + 'expdata_vl' : expdata_vl, + + 'positivity' : False, + } + all_dict_out.append(dict_out) + + return all_dict_out + +def positivity_reader(pos_spec): + pos_c = pos_spec.load() + ndata = pos_c.GetNData() + + parsed_set = [fk_parser(pos_c, pos_c.IsHadronic())] + + pos_sets = [{ + 'fktables' : parsed_set, + 'hadronic' : pos_c.IsHadronic(), + 'operation' : 'NULL', + 'name' : pos_spec.name, + 'frac' : 1.0, + 'ndata' : ndata, + }] + + positivity_factor = pos_spec.poslambda + + dict_out = { + 'datasets' : pos_sets, + 'trmask' : np.ones(ndata, dtype = np.bool), + 'name' : pos_spec.name, + 'expdata' : np.zeros( (1,ndata) ), + 'ndata' : ndata, + 'positivity' : True, + 'lambda' : positivity_factor + } + + return dict_out diff --git a/n3fit/readme.md b/n3fit/readme.md new file mode 100644 index 0000000000..523986ce92 --- /dev/null +++ b/n3fit/readme.md @@ -0,0 +1,280 @@ +Ciao everyone, + +As promised here is the "beta" version of the new fitting code for everyone to have fun with it. We put all our code in the folder `n3fit` (i.e., everything below is referred to this folder). + +# n3fit.py + +This version is what we promised to make public in Varenna next August, in the end we decided to push also the hyperopt code since it was already ready rather than have a stripped-down version for Easter. + + +## Look before you leap + +There are a few things to note before running this code. + +### Differences with NNPDF + +- Preprocessing: + +This is perhaps one of the biggest differences with respect to NNPDF. The preprocessing variables are being fitted (within the parameters given in the runcard). There is room for new studies on this. + +- The network: + +We have constructed the network as a single net, i.e., all layers are fully connected. + +- Positivity and stopping: + +Positivity is enforced and replicas are only accepted once they pass some positivity criteria. This is related to stopping in that the stop only occurs once the validation loss doesn't improve anymore **_and_** the positivity criteria is fulfilled. + + +- Seeds: + +Everything is seeded at the level of the experiments, i.e., if you were to change the order of two experiments the results _should_ still be the same. + +### Performance, hardware usage + +- CPU usage: + +As said in Amsterdam, the code is quite fast and able to do a fit for a single replica in the order of 10 minutes / 1 hour for DIS / Global. However the usage of the CPU power is not the most efficient + +By default tensorflow will try to generate as many processes as logical threads your computer has (x2), however most of them are sitting idle most of the time, this is due to the amount of data we have available, it is actually not enough to actually give something to do to every core (_if_ you have a big enough number of powerful enough cores). + +We have limited the code to 8-16 threads. The limitation is done in line 34,35 of `backend/keras_backend/debug_mode.py`. + +- Memory usage: + +In our tests we find an usage of 2 GB of memory for DIS and 16 GB of memory for Global. I would personally recommend to be very generous with the memory requirements since otherwise you might end up swapping, which will greatly hinder performance. + +**Warning:** If you were to run this code in a cluster with not very good sandboxing you will be still running in 8 processors even if you only asked for 2. Therefore if you are going to ask for a small number of processors I would recommend to change those settings in the code as well. You don't want to make your IT department sad. + +_WIP:_ Eventually the resources management will be part of the runcard, but we are studying how to best reduce the impact (specially on memory) so it is still work in progress and so run it at your own risk. + +### Caveats, things to be wary of + +The gradient descent algorithms are quite powerful and the possibility of running much faster means you can run much deeper networks. However, as a wise man once said, _with great power comes great responsability_. In particular in our tests we found **it is not difficult to run into overfitting issues**. + +Overfitting is most easily done in DIS where the number of data points is small enough that is not difficult to generate a network with a number of parameters comparable to the number of data points. In this situation it is possible to find overfitting even with cross validation measures. We uploaded a report where the overfitting is quite obvious as an example: https://vp.nnpdf.science/EIA8y1JXQVmT9RYBLlUeJw==/ + + +For truly reproducible runs you should set `debug: true` in the runcard as, by default, we allow tensorflow freedom to play with its own internal variables. Debug mode turns off hyperthreading and fixes tensorflow's internal variables. + +The folder structure is not final, specially the files found in the top level folder. There is still some refactoring to do here so the explanation for the folders below might be outdated in a few weeks. + +The code works as a validphys app but it is not integrated in validphys. It is not installed when you run `conda install nnpdf` or `make install`. At the moment this could be taken as "Release Candidate" but not as a final product. + +At the moment since this is a beta version the final touchs of development are being in the n3pdf repository since there are a few pull requests open. Once we have merged all pull requests there we will move development to this one. + + +### Requirements: + +- **NNPDF:** Make sure NNPDF is installed and that python is able to import validphys. +- **Python packages:** usually having NNPDF installed and working means you will have everything you need, possible pitfalls: ruamel.yaml +- **Keras & tensorflow:** if you installed nnpdf with conda I would suggest installing them also with conda to ensure compatibility between python versions (3.6/3.7 brings some changes that can affect tensorflow). Note: tensorflow-opt includes some optimizations for running on CPU so it is the recommended version. +- **Hyperopt:** in order to use hyperopt you need to install the hyperopt python package, pandas and seaborn. +- **Operative System:** we have run this code in many several different Linux machines (with wildly different Linux flavours) in both python 3.6 and 3.7. We haven't tested Mac OS but there is no reason it should not work. + +## Folder Structure: + +### Backend + +All backend dependent functions and classes are in the `backends` folder. At the moment there is only one backend implemented: keras (`backend/keras_backend`). + +In order to implement a new different backend it should be enough to ensure it provides the same classes and methods. + +### Layers + +The custom layers that define the different pieces of the Neural Network are all in the `layers/` folder. Each layer is a different class extending `backends/?/MetaLayer.py`. + +Note for instance the DIS layer `layers/DIS.py`. This layer is an operation implementing the convolution of one PDF with one FKTable (according to the active flavours). +The plan is to replace some of the operations in these layers by custom operations as we believe this will have an impact on the memory usage of the code. + + +### Base folder + +The base folder is (temporarily) where the rest of the code lies, but let me break it down. + +#### Main code: + +- n3fit.py + +Validphys app definition. + +- fit.py + +Driver of the fitting code, the hyperoptimization and the output of the code. + +- constrains.py + +Implements restrictions such as the momentum sum rule. + +- model_gen.py + +Implements functions dedicated to generate the different independent pieces of the Neural Network such as the Observable layers or the PDF layers. + +- reader.py + +Implements the reading of the datasets, experiments and positivity sets into python objects. This is the only place where libnnpdf is used. The hope is that most of the logic in this file will be substituted by PR #404. + +- writer.py + +Implements the functions dedicated to the output of the fit (crucially, .exportgrid) + +- statistics.py + +Class that saves information about the fitting such a number of epochs, losses of the different pieces, etc. It is also manages the stopping criteria. + +- ModelTrainer.py + +This class defines the behaviour of the fit, creates the Neural Network and performs the fit. + + +#### Hyperopt: + +These are files related to the hyperoptimization mode of the code. Below in the basic usage section there are some notes on how to use it in case someone wants to give a try. + +- HyperAlgorith.py + +- HyperScanner.py + +- filetrials.py + +- plotting.py + +- create_testset.py + + +#### Runcards and report examples + +We provide three runcards (in the `runcards` folder): + +- Basic: Basic_runcard.yml, for quick testing with just two datasets +- DIS: PN3_DIS_example.yml (report example: https://vp.nnpdf.science/fpzXjidYR7SMrFBXpSacEA==) +- Global: PN3_Global_example.yml(report example: https://vp.nnpdf.science/BT98HzUSTxqg6_sDkkUx0A== ) + + +#### Evolution code + +Instead of using apfel replica per replica the code found in the folder `evolven3fit' will run the evolution for all replicas at once. +This code doesn't do any kind of sanity check or similar, as long as it finds a .gridinfo file, it will be happy. + +Usage: + + make + ./evolven3fit run_folder number_of_replicas + + +### Basic Usage: + +The most basic usage is running a fit for a given runcard for a given replica: + + python3 n3fit.py runcard.yml replica_number + +This will generate a folder structure akin to the one nnfit currently generates. It is not necessary to run vp-setupfit (if you do it, it will not hurt, you will need it anyway for generating a report at some point in the pipeline). + +Example: + + python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 + +will generater a folder `NNPDF31_nlo_as_0118_basic/nnfit/replica_1` containing a number of files with arclengths, chi2, etc. + + +#### Running multiple replicas sequentially: +With the option -r is it possible to run more replicas without the need for loading the data each time. This is just a convenience feature + + python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 -r 4 + +will run replicas 1 to 4 one after the other. + +#### Hyperoptimization: +The option --hyperopt will activate the hyperoptimizer + + python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 --hyperopt 100 + +will run 100 iterations of the hyperoptimizer. We also include a script that will plot the results as a `scan.pdf' file. + + python3 plotting.py NNPDF31_nlo_as_0118_basic + +As mentioned before, it is important to avoid overfitting, relying blindly in hyperopt, however, can result in models prone to overfitting. For hyperopt a model that overfits is very good, the most straightforward way of solving this issue is to create a set of datasets that don't enter the fitting or the validation. We include a script to do this in a systematic way with the following option: + + python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 --create_test_card + +This will generate a TEST runcard with a TEST set included which can be use for hyperoptimization. + + +#### Example: from a fit to a validphys report + + +In order to generate a fit it is necessary to run the code for a number of replicas. Let's say we want a fit of the runcard DIS.yml with 20 replicas: + +``` +for replica in {1..20} +do + ./n3fit.py DIS.yml ${replica} +done +``` + +After this we'll have a `DIS/nnfit' folder with 20 replicas. Now in order to generate the fit we use the following workflow: + +First some legacy code, it's only needed for the other scripts not to complain + + vp-setupfit DIS.yml + +Now we can run evolven3fit with the folder were the replicas are included and the maximum number of replicas to find. + + ./evolven3fit DIS 20` + +From this point onwards the steps are not different from before, for completeness they are also included here: + +After running the evolution code we run postfit to generate the final PDF, for that we give the number of members we want to find and the folder. + + postfit 15 DIS + +After postfit has finished you will want the results to the NNPDF share folder, assuming a conda installation: + + cp -RL DIS $CONDA_PREFIX/share/NNPDF/results/ + +Finally, for generating the plots you need to use comparefits and follow the instructions, for the DIS runcard we provide you can use 181101-001-sc as the reference fit. + + vp-comparefits DIS 181101-001-sc --title comparison --author $USER --keywords n3fit -o my_DIS_report + + +### Going forward: + +This is a list of ideas we have so people can start working on things if they feel like it. Some of them are necessary for the full integration with NNPDF (in particular testing and implementing the new fkparser) other can be interesting or fun side projects. + +- Testing the fkparser. + +Modifying reader to use the new fkparsers implemented in PR #404 instead of using the C functions. +All calls to libnnpdf are concentrated in this file so that the changes are easy to implement. + +- Closure tests + +We have not run any closure test or implemented a way of doing it in a systematic way. It could be an interesting exercise. + + +- Implement new backends + +As said before, it should be straightforward (a straight paths can be very long, complicated and full of holes, but the path itself has not many curves). + +- Run with other algorithms + +At the moment we have run with some of the algorithms included in the default keras installation, but the space of algorithms for machine learning is quite big. We have also limited ourselves to Gradient Descent family, but that's not the end of the story. + + +- Study different strategies for preprocessing: + +At the moment we are taking a very naive approach to the fitting of the processing: we let them vary freely within the strict limits set by the runcard. This may well be suboptimal. + +#### Some other things + +Some stuff that people is working on and is close to completion: + +- Implementation of custom operators and gradients to improve performance. +- An visualizer for the fitting of the PDF in the form of an animation. + + +-------- + +Let us know if anything is unclear and feel free to open any issues you find! + + + Juan & Stefano diff --git a/n3fit/runcards/Basic_runcard.yml b/n3fit/runcards/Basic_runcard.yml new file mode 100644 index 0000000000..6044711246 --- /dev/null +++ b/n3fit/runcards/Basic_runcard.yml @@ -0,0 +1,149 @@ +# +# Configuration file for NNPDF++ +# + +############################################################ +description: NNPDF3.1 NLO fitted charm global dataset + +############################################################ +# frac: training fraction +# ewk: apply ewk k-factors +# sys: systematics treatment (see systypes) +experiments: + - experiment: ALL + datasets: + - { dataset: SLACP, frac: 0.5} + - { dataset: NMCPD, frac: 0.5 } + +############################################################ +datacuts: + t0pdfset : NNPDF31_nlo_as_0118 # PDF set to generate t0 covmat + q2min : 3.49 # Q2 minimum + w2min : 12.5 # W2 minimum + combocuts : NNPDF31 # NNPDF3.0 final kin. cuts + jetptcut_tev : 0 # jet pt cut for tevatron + jetptcut_lhc : 0 # jet pt cut for lhc + wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions + jetycut_tev : 1e30 # jet rap. cut for tevatron + jetycut_lhc : 1e30 # jet rap. cut for lhc + dymasscut_min: 0 # dy inv.mass. min cut + dymasscut_max: 1e30 # dy inv.mass. max cut + jetcfactcut : 1e30 # jet cfact. cut + +############################################################ +theory: + theoryid: 53 # database id + +########################################################### +hyperscan: + stopping: + min_epochs: 5e2 + max_epochs: 40e2 + min_patience: 0.10 + max_patience: 0.40 + positivity: + min_multiplier: 1.00000001 + max_multiplier: 1.00000002 + min_initial: + max_initial: + optimizer: + names: 'ALL' # Use all implemented optimizers + min_lr: 0.0005 + max_lr: 0.5 + architecture: + initializers: 'ALL' + max_drop: 0.15 + n_layers: [2,3,4] + min_units: 5 + max_units: 50 + activations: ['sigmoid', 'tanh'] + + +############################################################ +fitting: + genrep : on # on = generate MC replicas, off = use real data + trvlseed: 1 + nnseed: 2 + mcseed: 3 + epochs: 900 + # CHANGE THE FOLLOWING OPTIONS + save: off + savefile: 'weights.hd5' + load: off + loadfile: 'weights.hd5' + plot: off + + parameters: # This defines the parameter dictionary that is passed to the Model Trainer + nodes_per_layer: [15, 10, 8] + activation_per_layer: ['sigmoid', 'sigmoid', 'linear'] + initializer: 'glorot_normal' + learning_rate: 0.01 + optimizer: 'RMSprop' + epochs: 900 + pos_multiplier: 1.05 + pos_initial: # believe the pos_lambda below + stopping_patience: 0.30 # percentage of the number of epochs + layer_type: 'dense' + dropout: 0.0 + + # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) + # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) + # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) + # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) + fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. + basis: + # remeber to change the name of PDF accordingly with fitbasis + # pos: on for NN squared + # mutsize: mutation size + # mutprob: mutation probability + # smallx, largex: preprocessing ranges + - { fl: sng, pos: off, mutsize: [15], mutprob: [0.05], smallx: [1.05,1.19], largex: [1.47,2.70] } + - { fl: g, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.94,1.25], largex: [0.11,5.87] } + - { fl: v, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.54,0.75], largex: [1.15,2.76] } + - { fl: v3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.21,0.57], largex: [1.35,3.08] } + - { fl: v8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.52,0.76], largex: [0.77,3.56] } + - { fl: t3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.37,1.52], largex: [1.74,3.39] } + - { fl: t8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.56,1.29], largex: [1.45,3.03] } + - { fl: cp, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.12,1.19], largex: [1.83,6.70] } + +############################################################ +stopping: + stopmethod: LOOKBACK # Stopping method + lbdelta : 0 # Delta for look-back stopping + mingen : 0 # Minimum number of generations + window : 500 # Window for moving average + minchi2 : 3.5 # Minimum chi2 + minchi2exp: 6.0 # Minimum chi2 for experiments + nsmear : 200 # Smear for stopping + deltasm : 200 # Delta smear for stopping + rv : 2 # Ratio for validation stopping + rt : 0.5 # Ratio for training stopping + epsilon : 1e-6 # Gradient epsilon + +############################################################ +positivity: + posdatasets: + - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier + +############################################################ +closuretest: + filterseed : 0 # Random seed to be used in filtering data partitions + fakedata : off # on = to use FAKEPDF to generate pseudo-data + fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data + errorsize : 1.0 # uncertainties rescaling + fakenoise : off # on = to add random fluctuations to pseudo-data + rancutprob : 1.0 # Fraction of data to be included in the fit + rancutmethod: 0 # Method to select rancutprob data fraction + rancuttrnval: off # 0(1) to output training(valiation) chi2 in report + printpdf4gen: off # To print info on PDFs during minimization + +############################################################ +lhagrid: + nx : 150 + xmin: 1e-9 + xmed: 0.1 + xmax: 1.0 + nq : 50 + qmax: 1e5 + +############################################################ diff --git a/n3fit/runcards/PN3_DIS_example.yml b/n3fit/runcards/PN3_DIS_example.yml new file mode 100644 index 0000000000..a10e6f83b3 --- /dev/null +++ b/n3fit/runcards/PN3_DIS_example.yml @@ -0,0 +1,179 @@ +# +# Configuration file for NNPDF++ +# + +############################################################ +description: NNPDF3.1 NNLO fitted charm global dataset + +############################################################ +# frac: training fraction +# ewk: apply ewk k-factors +# sys: systematics treatment (see systypes) +experiments: +# Fixed target DIS + - experiment: NMC + datasets: + - { dataset: NMCPD, frac: 0.5 } + - { dataset: NMC, frac: 0.5 } + - experiment: SLAC + datasets: + - { dataset: SLACP, frac: 0.5} + - { dataset: SLACD, frac: 0.5} + - experiment: BCDMS + datasets: + - { dataset: BCDMSP, frac: 0.5} + - { dataset: BCDMSD, frac: 0.5} + - experiment: CHORUS + datasets: + - { dataset: CHORUSNU, frac: 0.5} + - { dataset: CHORUSNB, frac: 0.5} + - experiment: NTVDMN + datasets: + - { dataset: NTVNUDMN, frac: 0.5} + - { dataset: NTVNBDMN, frac: 0.5} +# EMC F2C data +# - experiment: EMCF2C +# datasets: +# - { dataset: EMCF2C, frac: 1.0} +# HERA data + - experiment: HERACOMB + datasets: + - { dataset: HERACOMBNCEM , frac: 0.5} + - { dataset: HERACOMBNCEP460, frac: 0.5} + - { dataset: HERACOMBNCEP575, frac: 0.5} + - { dataset: HERACOMBNCEP820, frac: 0.5} + - { dataset: HERACOMBNCEP920, frac: 0.5} + - { dataset: HERACOMBCCEM , frac: 0.5} + - { dataset: HERACOMBCCEP , frac: 0.5} +# Combined HERA charm production cross-sections + - experiment: HERAF2CHARM + datasets: + - { dataset: HERAF2CHARM, frac: 0.5} +# F2bottom data + - experiment: F2BOTTOM + datasets: + - { dataset: H1HERAF2B, frac: 1.0} + - { dataset: ZEUSHERAF2B, frac: 1.0} + + +############################################################ +datacuts: + t0pdfset : NNPDF31_nnlo_as_0118 # PDF set to generate t0 covmat + q2min : 3.49 # Q2 minimum + w2min : 12.5 # W2 minimum + combocuts : NNPDF31 # NNPDF3.0 final kin. cuts + jetptcut_tev : 0 # jet pt cut for tevatron + jetptcut_lhc : 0 # jet pt cut for lhc + wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions + jetycut_tev : 1e30 # jet rap. cut for tevatron + jetycut_lhc : 1e30 # jet rap. cut for lhc + dymasscut_min: 0 # dy inv.mass. min cut + dymasscut_max: 1e30 # dy inv.mass. max cut + jetcfactcut : 1e30 # jet cfact. cut + +############################################################ +theory: + theoryid: 53 # database id + +############################################################ +fitting: + + trvlseed: 1 + nnseed: 2 + mcseed: 3 + epochs: 20000 + save: off + savefile: 'weights.hd5' + load: off + loadfile: 'weights.hd5' + plot: off + + seed : 9453862133528 # set the seed for the random generator + genrep : on # on = generate MC replicas, off = use real data + rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc + fitmethod: NGA # Minimization algorithm + nmutants : 80 # Number of mutants for replica + paramtype: NN + nnodes : [2,5,3,1] + + parameters: # This defines the parameter dictionary that is passed to the Model Trainer + nodes_per_layer: [35, 25, 8] + activation_per_layer: ['tanh', 'tanh', 'linear'] + initializer: 'glorot_normal' + learning_rate: 0.01 + optimizer: 'Adadelta' + epochs: 40000 + pos_multiplier: 1.09 + pos_initial: 10.0 # believe the pos_lambda above + stopping_patience: 0.30 # percentage of the number of epochs + layer_type: 'dense' + dropout: 0.0 + + # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) + # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) + # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) + # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) + fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. + basis: + # remeber to change the name of PDF accordingly with fitbasis + # pos: on for NN squared + # mutsize: mutation size + # mutprob: mutation probability + # smallx, largex: preprocessing ranges + - { fl: sng, pos: off, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } + - { fl: g, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } + - { fl: v, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } + - { fl: v3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } + - { fl: v8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } + - { fl: t3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } + - { fl: t8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } + - { fl: cp, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } + +############################################################ +stopping: + stopmethod: LOOKBACK # Stopping method + lbdelta : 0 # Delta for look-back stopping + mingen : 0 # Minimum number of generations + window : 500 # Window for moving average + minchi2 : 3.5 # Minimum chi2 + minchi2exp: 6.0 # Minimum chi2 for experiments + nsmear : 200 # Smear for stopping + deltasm : 200 # Delta smear for stopping + rv : 2 # Ratio for validation stopping + rt : 0.5 # Ratio for training stopping + epsilon : 1e-6 # Gradient epsilon + +############################################################ +positivity: + posdatasets: + - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier + - { dataset: POSF2DW, poslambda: 1e6 } + - { dataset: POSF2S, poslambda: 1e6 } + - { dataset: POSFLL, poslambda: 1e6 } + - { dataset: POSDYU, poslambda: 1e10 } + - { dataset: POSDYD, poslambda: 1e10 } + - { dataset: POSDYS, poslambda: 1e10 } + +############################################################ +closuretest: + filterseed : 0 # Random seed to be used in filtering data partitions + fakedata : off # on = to use FAKEPDF to generate pseudo-data + fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data + errorsize : 1.0 # uncertainties rescaling + fakenoise : off # on = to add random fluctuations to pseudo-data + rancutprob : 1.0 # Fraction of data to be included in the fit + rancutmethod: 0 # Method to select rancutprob data fraction + rancuttrnval: off # 0(1) to output training(valiation) chi2 in report + printpdf4gen: off # To print info on PDFs during minimization + +############################################################ +lhagrid: + nx : 150 + xmin: 1e-9 + xmed: 0.1 + xmax: 1.0 + nq : 50 + qmax: 1e5 + +############################################################ +debug: off diff --git a/n3fit/runcards/PN3_Global_example.yml b/n3fit/runcards/PN3_Global_example.yml new file mode 100644 index 0000000000..5800fa9e1d --- /dev/null +++ b/n3fit/runcards/PN3_Global_example.yml @@ -0,0 +1,265 @@ +# +# Configuration file for NNPDF++ +# + +############################################################ +description: NNPDF3.1 NNLO fitted charm global dataset + +############################################################ +# frac: training fraction +# ewk: apply ewk k-factors +# sys: systematics treatment (see systypes) +experiments: +# Fixed target DIS + - experiment: NMC + datasets: + - { dataset: NMCPD, frac: 0.5 } + - { dataset: NMC, frac: 0.5 } + - experiment: SLAC + datasets: + - { dataset: SLACP, frac: 0.5} + - { dataset: SLACD, frac: 0.5} + - experiment: BCDMS + datasets: + - { dataset: BCDMSP, frac: 0.5} + - { dataset: BCDMSD, frac: 0.5} + - experiment: CHORUS + datasets: + - { dataset: CHORUSNU, frac: 0.5} + - { dataset: CHORUSNB, frac: 0.5} + - experiment: NTVDMN + datasets: + - { dataset: NTVNUDMN, frac: 0.5} + - { dataset: NTVNBDMN, frac: 0.5} +# EMC F2C data +# - experiment: EMCF2C +# datasets: +# - { dataset: EMCF2C, frac: 1.0} +# HERA data + - experiment: HERACOMB + datasets: + - { dataset: HERACOMBNCEM , frac: 0.5} + - { dataset: HERACOMBNCEP460, frac: 0.5} + - { dataset: HERACOMBNCEP575, frac: 0.5} + - { dataset: HERACOMBNCEP820, frac: 0.5} + - { dataset: HERACOMBNCEP920, frac: 0.5} + - { dataset: HERACOMBCCEM , frac: 0.5} + - { dataset: HERACOMBCCEP , frac: 0.5} +# Combined HERA charm production cross-sections + - experiment: HERAF2CHARM + datasets: + - { dataset: HERAF2CHARM, frac: 0.5} +# F2bottom data + - experiment: F2BOTTOM + datasets: + - { dataset: H1HERAF2B, frac: 1.0} + - { dataset: ZEUSHERAF2B, frac: 1.0} + # Fixed target Drell-Yan + - experiment: DYE886 + datasets: + - { dataset: DYE886R, frac: 1.0 } + - { dataset: DYE886P, frac: 0.5, cfac: [QCD] } + - experiment: DYE605 + datasets: + - { dataset: DYE605, frac: 0.5, cfac: [QCD] } +# Tevatron jets and W,Z production + - experiment: CDF + datasets: + - { dataset: CDFZRAP, frac: 1.0, cfac: [QCD] } + - { dataset: CDFR2KT, frac: 0.5, sys: 10 } + - experiment: D0 + datasets: + - { dataset: D0ZRAP, frac: 1.0, cfac: [QCD] } + - { dataset: D0WEASY, frac: 1.0, cfac: [QCD] } + - { dataset: D0WMASY, frac: 1.0, cfac: [QCD] } + # ATLAS + - experiment: ATLAS + datasets: +# ATLAS EWK + - { dataset: ATLASWZRAP36PB, frac: 1.0, cfac: [QCD] } + - { dataset: ATLASZHIGHMASS49FB, frac: 1.0, cfac: [QCD] } + - { dataset: ATLASLOMASSDY11EXT, frac: 1.0, cfac: [QCD] } + - { dataset: ATLASWZRAP11, frac: 0.5, cfac: [QCD] } +# ATLAS jets + - { dataset: ATLASR04JETS36PB, frac: 0.5, sys: 10 } + - { dataset: ATLASR04JETS2P76TEV, frac: 0.5, sys: 10 } + - { dataset: ATLAS1JET11, frac: 0.5, sys: 10 } +# ATLAS Z pt +# - { dataset: ATLASZPT7TEV, frac: 0.5, cfac: [QCD,NRM], sys: 10 } + - { dataset: ATLASZPT8TEVMDIST, frac: 0.5, cfac: [QCD], sys: 10 } + - { dataset: ATLASZPT8TEVYDIST, frac: 0.5, cfac: [QCD], sys: 10 } +# ATLAS top + - { dataset: ATLASTTBARTOT, frac: 1.0, cfac: [QCD] } + - { dataset: ATLASTOPDIFF8TEVTRAPNORM, frac: 1.0, cfac: [QCD] } +# CMS + - experiment: CMS + datasets: +# CMS EWK + - { dataset: CMSWEASY840PB, frac: 1.0, cfac: [QCD] } + - { dataset: CMSWMASY47FB, frac: 1.0, cfac: [QCD] } +# - { dataset: CMSWCHARMTOT, frac: 1.0 } +# - { dataset: CMSWCHARMRAT, frac: 1.0 } + - { dataset: CMSDY2D11, frac: 0.5, cfac: [QCD] } + - { dataset: CMSWMU8TEV, frac: 1.0, cfac: [QCD] } +# CMS jets + - { dataset: CMSJETS11, frac: 0.5, sys: 10 } + - { dataset: CMS1JET276TEV, frac: 0.5, sys: 10 } +# CMS Z pt + - { dataset: CMSZDIFF12, frac: 1.0, cfac: [QCD,NRM], sys: 10 } +# CMS ttbar + - { dataset: CMSTTBARTOT, frac: 1.0, cfac: [QCD] } + - { dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 1.0, cfac: [QCD] } + # LHCb + - experiment: LHCb + datasets: + - { dataset: LHCBZ940PB, frac: 1.0, cfac: [QCD] } + - { dataset: LHCBZEE2FB, frac: 1.0, cfac: [QCD] } + - { dataset: LHCBWZMU7TEV, frac: 1.0, cfac: [NRM,QCD] } + - { dataset: LHCBWZMU8TEV, frac: 1.0, cfac: [NRM,QCD] } + + +############################################################ +datacuts: + t0pdfset : NNPDF31_nnlo_as_0118 # PDF set to generate t0 covmat + q2min : 3.49 # Q2 minimum + w2min : 12.5 # W2 minimum + combocuts : NNPDF31 # NNPDF3.0 final kin. cuts + jetptcut_tev : 0 # jet pt cut for tevatron + jetptcut_lhc : 0 # jet pt cut for lhc + wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions + jetycut_tev : 1e30 # jet rap. cut for tevatron + jetycut_lhc : 1e30 # jet rap. cut for lhc + dymasscut_min: 0 # dy inv.mass. min cut + dymasscut_max: 1e30 # dy inv.mass. max cut + jetcfactcut : 1e30 # jet cfact. cut + +############################################################ +theory: + theoryid: 53 # database id + +hyperscan: + stopping: + min_epochs: 25e3 + max_epochs: 40e3 + min_patience: 0.10 + max_patience: 0.40 + positivity: + min_multiplier: 1.04 + max_multiplier: 1.1 + min_initial: 1.0 + max_initial: 50.0 + optimizer: + names: ['RMSprop', 'Adadelta'] + min_lr: 0.0005 + max_lr: 0.13 + architecture: + initializers: ['glorot_normal', 'glorot_uniform'] + max_drop: 0.05 + n_layers: [1,2] + min_units: 5 + max_units: 50 + activations: ['sigmoid', 'tanh'] + +############################################################ +fitting: + + trvlseed: 1 + nnseed: 2 + mcseed: 3 + epochs: 50000 + save: off + savefile: 'weights.hd5' + load: off + loadfile: 'weights.hd5' + plot: off + + seed : 9453862133528 # set the seed for the random generator + genrep : on # on = generate MC replicas, off = use real data + rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc + fitmethod: NGA # Minimization algorithm + ngen : 30000 # Maximum number of generations + nmutants : 80 # Number of mutants for replica + paramtype: NN + nnodes : [2,5,3,1] + + parameters: # This defines the parameter dictionary that is passed to the Model Trainer + nodes_per_layer: [50, 35, 25, 8] + activation_per_layer: ['tanh', 'sigmoid', 'sigmoid', 'linear'] + initializer: 'glorot_normal' + learning_rate: 0.002 + optimizer: 'Adadelta' + epochs: 50000 + pos_multiplier: 1.09 + pos_initial: 1.1 + stopping_patience: 0.3 # percentage of the number of epochs + layer_type: 'dense' + dropout: 0.006 + + # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) + # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) + # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) + # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) + fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. + basis: + # remeber to change the name of PDF accordingly with fitbasis + # pos: on for NN squared + # mutsize: mutation size + # mutprob: mutation probability + # smallx, largex: preprocessing ranges + - { fl: sng, pos: off, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } + - { fl: g, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } + - { fl: v, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } + - { fl: v3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } + - { fl: v8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } + - { fl: t3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } + - { fl: t8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } + - { fl: cp, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } + +############################################################ +stopping: + stopmethod: LOOKBACK # Stopping method + lbdelta : 0 # Delta for look-back stopping + mingen : 0 # Minimum number of generations + window : 500 # Window for moving average + minchi2 : 3.5 # Minimum chi2 + minchi2exp: 6.0 # Minimum chi2 for experiments + nsmear : 200 # Smear for stopping + deltasm : 200 # Delta smear for stopping + rv : 2 # Ratio for validation stopping + rt : 0.5 # Ratio for training stopping + epsilon : 1e-6 # Gradient epsilon + +############################################################ +positivity: + posdatasets: + - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier + - { dataset: POSF2DW, poslambda: 1e6 } + - { dataset: POSF2S, poslambda: 1e6 } + - { dataset: POSFLL, poslambda: 1e6 } + - { dataset: POSDYU, poslambda: 1e10 } + - { dataset: POSDYD, poslambda: 1e10 } + - { dataset: POSDYS, poslambda: 1e10 } + +############################################################ +closuretest: + filterseed : 0 # Random seed to be used in filtering data partitions + fakedata : off # on = to use FAKEPDF to generate pseudo-data + fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data + errorsize : 1.0 # uncertainties rescaling + fakenoise : off # on = to add random fluctuations to pseudo-data + rancutprob : 1.0 # Fraction of data to be included in the fit + rancutmethod: 0 # Method to select rancutprob data fraction + rancuttrnval: off # 0(1) to output training(valiation) chi2 in report + printpdf4gen: off # To print info on PDFs during minimization + +############################################################ +lhagrid: + nx : 150 + xmin: 1e-9 + xmed: 0.1 + xmax: 1.0 + nq : 50 + qmax: 1e5 + +############################################################ +debug: off diff --git a/n3fit/statistics.py b/n3fit/statistics.py new file mode 100644 index 0000000000..dce7be3fd2 --- /dev/null +++ b/n3fit/statistics.py @@ -0,0 +1,308 @@ +import numpy as np +from matplotlib import pyplot as pl + +class Stat_Info: + + def __init__(self, vl_model, vl_data, ndata_dict, threshold_positivity = 1e-6, + chi2_threshold = 3.0, save_all_each = 100, total_epochs = 0, + stopping_epochs = 7000, dont_stop = False): + """ + To instantiate the Stats_Info object we need: + - vl_model: The validation model, which has the same PDF layer as the training model + - vl_data: The validation exp data to compare to + - ndata_dict: A dictionary with the number of points of each experiment in the format: + exp: npoints in the training model for experiment exp + exp_vl : npoints in the training model for experiment exp + - chi2_threshold: at which training chi do we start checking for a stopping point? + - save_all_each: in which interval should we save all chi2 per experiment? + - stopping_epochs: after a growth in chi2 occurs, we activate the stopping monitor + if the chi2 doesnt go below the minimum after stopping_epochs, we stop + - dont_stop: dont_stop anyway + + """ # TODO: this function has outgrown its initial scope and some refactoring is needed + + self.vl_model = vl_model + self.vl_data = vl_data + + self.stop_now = False + self.nan_found = False + self.stopping_epochs = stopping_epochs + self.stopping_degree = 0 + self.total_epochs = total_epochs + self.epoch_of_the_stop = total_epochs + self.dont_stop = False + self.total_epochs = total_epochs + self.not_reloaded = True + self.save_all_each = save_all_each + + # Threshold for positivity + self.threshold_positivity = threshold_positivity + + + # Best model stats + self.threshold = chi2_threshold + + # Number of points per experiment + self.ndata_tr = max(ndata_dict['total_tr'], 1) + self.ndata_vl = max(ndata_dict['total_vl'], 1) + self.ndata_dict = ndata_dict + self.exp_names = [] + for i in ndata_dict.keys(): + if i.endswith('_vl') or i.startswith(('POS', 'total', 'ALL')): + continue + self.exp_names.append(i) + + self._clean_best_model() + self._clean_full_stats() + + def _clean_best_model(self): + self.best_chi2 = 1e9 + self.e_best_chi2 = 0 + self.w_best_chi2 = None + self.positivity = False + self.saved_history = None + + def _clean_full_stats(self): + # Complete stats + self.epochs = [] + self.tr_chi2 = [] + self.vl_chi2 = [] + self.all_tr_chi2 = {} + self.all_vl_chi2 = {} + self.all_epochs = [] + for exp in self.exp_names: + self.all_tr_chi2[exp] = [] + self.all_vl_chi2[exp] = [] + self.all_tr_chi2['Total'] = [] + self.all_vl_chi2['Total'] = [] + + def reset(self, stopping_epochs = None): + """ + Sometimes it might be necessary to reset the statistics + This only require resetting some of the variables and not all + """ + self._clean_full_stats() + self._clean_best_model() + self.stop_now = False + self.epoch_of_the_stop = self.total_epochs + self.not_reloaded = True + self.stopping_degree = 0 + if stopping_epochs: + self.stopping_epochs = stopping_epochs + + + def _compute_validation(self): + """ Evaluates the validation model + vl_list: a list of chi2, where the first element is the sum of all others + If there is only one experiment/dataset, vl_list is a float instead + + Returns the list already normalised to the number of points + """ + vl_list = self.vl_model.evaluate(x = None, y = self.vl_data, verbose = False, batch_size = 1) + vl_dict = {} + try: + total = vl_list[0] / self.ndata_vl + vl_list = vl_list[1:] + except IndexError: + total = vl_list / self.ndata_vl + vl_list = [] + + # If validation dont include all experiments, there is something wrong in the modle + # and since evaluate returns a list with no names, it is impossible to know which experiment corresponds to which chi2 + if len(vl_list) != len(self.exp_names): + vl_list = [0.0 for i in self.exp_names] + + + # This loop relies on the information that comes through the input dictionaries to be accurate + # It also relies in the ordered dictionaries introduced at some point in python 3.6/7 + for chi2, exp in zip(vl_list, self.exp_names): + vl_dict[exp] = chi2 / self.ndata_dict[exp] + + return total, vl_dict + + def _parse_training(self, training_info): + """ Receives an object containing the training chi2 and parses it + in the form of a { 'experiment' : chi2 } dictionary, where chi2 + is already normalised to the number of points per experiment """ + try: + hobj = training_info.history + except AttributeError: # So it works whether we pass the out our the out.history + hobj = training_info + + # Since the history object can have more than one loss (if epochs != 1) but it is always a list + # Save them as the mean + + total = np.mean(hobj['loss']) / self.ndata_tr + tr_chi2 = {} + for exp in self.exp_names: + chi2 = np.mean(hobj[exp + "_loss"]) / self.ndata_dict[exp] + tr_chi2[exp] = chi2 + + return total, tr_chi2 + + + + def monitor_chi2(self, training_info, epoch): + """ Function to be called at the end of every epoch. + Stores the total chi2 of the training set as well as the + total chi2 of the validation set. + If the training chi2 is below a certain threshold, + stores the state of the model which gave the minimum chi2 + as well as the epoch in which occurred + If the epoch is a multiple of save_all_each then we also save the per-exp chi2 + + Returns True if the run seems ok and False if a NaN is found + """ + vl_chi2, all_vl = self._compute_validation() + tr_chi2, all_tr = self._parse_training(training_info) + + if tr_chi2 != tr_chi2: + print(" > NaN found, stopping activated") + self.stop_now = True + self.nan_found = True + self.epoch_of_the_stop = epoch + self.reload_model() + if not self.w_best_chi2: + self.best_chi2 = 1e10 + return False + + if vl_chi2 == 0.0: # If there is no masking, training and validation are the same thing + vl_chi2 = tr_chi2 + all_vl = all_tr + + self.epochs.append(epoch) + self.tr_chi2.append(tr_chi2) + self.vl_chi2.append(vl_chi2) + + if tr_chi2 < self.threshold: + self.stopping_degree += 1 + + if vl_chi2 < self.best_chi2 and self.check_positivity(training_info): + self.positivity = True + self.best_chi2 = vl_chi2 + self.e_best_chi2 = epoch + self.w_best_chi2 = self.vl_model.get_weights() + self.stopping_degree = 0 + self.saved_history = training_info + elif not self.w_best_chi2: + self.stopping_degree = 0 + + if (epoch+1) % 100 == 0: + self.all_epochs.append(epoch + 1) + for exp in self.exp_names: + self.all_tr_chi2[exp].append(all_tr[exp]) + self.all_vl_chi2[exp].append(all_vl[exp]) + self.all_tr_chi2['Total'].append(tr_chi2) + self.all_vl_chi2['Total'].append(vl_chi2) + self.print_current_stats() + + if self.stopping_degree > self.stopping_epochs: + self.stop_now = True + self.epoch_of_the_stop = epoch + self.reload_model(force = True) + + return True + + def reload_model(self, force = False): + if (self.not_reloaded or force) and self.w_best_chi2: + self.not_reloaded = False + self.vl_model.set_weights(self.w_best_chi2) + + def good_stop(self): + """ Returns true if and only if the stopping criteria was actually fulfilled + and we didnt stop by error/nan """ + return self.positivity and not self.nan_found + + def stop_here(self): + if self.dont_stop: + return False + else: + return self.stop_now + + def loss(self): + return self.best_chi2 + + def tr_loss(self): + i = self.epochs.index(self.e_best_chi2) + return self.tr_chi2[i] + + def print_current_stats(self): + """ + Prints the last validation and training loss saved + """ + epoch = self.all_epochs[-1] + epochs = self.total_epochs + total = self.all_tr_chi2['Total'][-1] + total_str = "\nAt epoch {0}/{1}, total loss: {2}".format(epoch, epochs, total) + + partials = "" + for exp in self.exp_names: + partials += "{0}: {1:.3f} ".format(exp, self.all_tr_chi2[exp][-1]) + + print(total_str) + if partials: + print(" > Partial losses: " + partials) + + total_vl = self.all_vl_chi2['Total'][-1] + print(" > Validation loss at this point: {0}".format(total_vl)) + + def plot(self): + print("Plotting validation loss") + pl.plot(self.epochs, self.tr_chi2, label = 'Training') + pl.plot(self.epochs, self.vl_chi2, label = 'Validation') + pl.legend() + pl.show() + + + def check_positivity(self, training_info): + """ Checks whether positivity passes """ + chi2 = 0.0 + try: + hobj = training_info.history + except AttributeError: # So it works whether we pass the out our the out.history + hobj = training_info + + for key, item in hobj.items(): + if "POS" in key: + if item[-1] > 0.0: + chi2 += item[-1] + if chi2 > self.threshold_positivity: + return False + else: + return True + + + # Str functions + def positivity_pass(self): + try: + print(" \n\n> > > > > Saved history: {0}\n\n\n".format(self.saved_history.history)) + except: + pass + if self.positivity: + return "POS_PASS" + else: + return "POS_VETO" + + def preproc_str(self): + preprocessing = self.vl_model.get_layer('pdf_prepro') + alphabeta = preprocessing.get_weights() + file_list = ["Alpha Beta"] + for i in range(0, len(alphabeta), 2): + file_list.append( "\n{0} {1}".format(alphabeta[i][0], alphabeta[i+1][0])) + file_list.append('\n') + return file_list + + def chi2exps_str(self): + file_list = [] + nexp = len(self.exp_names) + for i, epoch in enumerate(self.all_epochs): + strout = "\nEpoch: {0} nexp {1}".format(epoch, nexp) + for exp in self.exp_names: + tr = self.all_tr_chi2[exp][i] + vl = self.all_vl_chi2[exp][i] + strout += "\n{0}: {1} {2}".format(exp, tr, vl) + tr = self.all_tr_chi2['Total'][i] + vl = self.all_vl_chi2['Total'][i] + strout += "\nTotal: training = {0} validation = {1}\n".format(tr, vl) + file_list.append(strout) + return file_list diff --git a/n3fit/writer.py b/n3fit/writer.py new file mode 100644 index 0000000000..bacd3064fa --- /dev/null +++ b/n3fit/writer.py @@ -0,0 +1,104 @@ +from ruamel import yaml +import numpy as np + +def evln2lha(evln): + # evln Basis {"PHT","SNG","GLU","VAL","V03","V08","V15","V24","V35","T03","T08","T15","T24","T35"}; + # lha Basis: {"TBAR","BBAR","CBAR","SBAR","UBAR","DBAR","GLUON","D","U","S","C","B","T","PHT"} + lha = np.zeros(evln.shape) + lha[13] = evln[0] + + lha[6] = evln[2] + + lha[8] = ( 10*evln[1] + + 30*evln[9] + 10*evln[10] + 5*evln[11] + 3*evln[12] + 2*evln[13] + + 10*evln[3] + 30*evln[4] + 10*evln[5] + 5*evln[6] + 3*evln[7] + 2*evln[8] ) / 120 + + lha[4] = ( 10*evln[1] + + 30*evln[9] + 10*evln[10] + 5*evln[11] + 3*evln[12] + 2*evln[13] + - 10*evln[3] - 30*evln[4] - 10*evln[5] - 5*evln[6] - 3*evln[7] - 2*evln[8] ) / 120 + + lha[7] = ( 10*evln[1] + - 30*evln[9] + 10*evln[10] + 5*evln[11] + 3*evln[12] + 2*evln[13] + + 10*evln[3] - 30*evln[4] + 10*evln[5] + 5*evln[6] + 3*evln[7] + 2*evln[8] ) / 120 + + lha[5] = ( 10*evln[1] + - 30*evln[9] + 10*evln[10] + 5*evln[11] + 3*evln[12] + 2*evln[13] + - 10*evln[3] + 30*evln[4] - 10*evln[5] - 5*evln[6] - 3*evln[7] - 2*evln[8] ) / 120 + + lha[9] = ( 10*evln[1] + - 20*evln[10] + 5*evln[11] + 3*evln[12] + 2*evln[13] + + 10*evln[3] - 20*evln[5] + 5*evln[6] + 3*evln[7] + 2*evln[8] ) / 120 + + lha[3] = ( 10*evln[1] + - 20*evln[10] + 5*evln[11] + 3*evln[12] + 2*evln[13] + - 10*evln[3] + 20*evln[5] - 5*evln[6] - 3*evln[7] - 2*evln[8] ) / 120 + + lha[10] = ( 10*evln[1] + - 15*evln[11] + 3*evln[12] + 2*evln[13] + + 10*evln[3] - 15*evln[6] + 3*evln[7] + 2*evln[8] ) / 120 + + lha[2] = ( 10*evln[1] + - 15*evln[11] + 3*evln[12] + 2*evln[13] + - 10*evln[3] + 15*evln[6] - 3*evln[7] - 2*evln[8] ) / 120 + + lha[11] = ( 5*evln[1] + - 6*evln[12] + evln[13] + + 5*evln[3] - 6*evln[7] + evln[8] ) / 60 + + lha[1] = ( 5*evln[1] + - 6*evln[12] + evln[13] + - 5*evln[3] + 6*evln[7] - evln[8] ) / 60 + + lha[12] = ( evln[1] + - evln[13] + + evln[3] - evln[8] ) / 12 + + lha[0] = ( evln[1] + - evln[13] + - evln[3] + evln[8] ) / 12 + return lha + + +def storefit(pdf_function, replica, replica_path, fitname, q20, nite, erf_vl, erf_tr, chi2, arc_lengths, all_chi2_lines, all_preproc_lines, pos_state): + + # build exportgrid + xgrid = np.array([1.00000000000000e-09, 1.29708482343957e-09, 1.68242903474257e-09, 2.18225315420583e-09, 2.83056741739819e-09, 3.67148597892941e-09, 4.76222862935315e-09, 6.17701427376180e-09, 8.01211109898438e-09, 1.03923870607245e-08, 1.34798064073805e-08, 1.74844503691778e-08, 2.26788118881103e-08, 2.94163370300835e-08, 3.81554746595878e-08, 4.94908707232129e-08, 6.41938295708371e-08, 8.32647951986859e-08, 1.08001422993829e-07, 1.40086873081130e-07, 1.81704331793772e-07, 2.35685551545377e-07, 3.05703512595323e-07, 3.96522309841747e-07, 5.14321257236570e-07, 6.67115245136676e-07, 8.65299922973143e-07, 1.12235875241487e-06, 1.45577995547683e-06, 1.88824560514613e-06, 2.44917352454946e-06, 3.17671650028717e-06, 4.12035415232797e-06, 5.34425265752090e-06, 6.93161897806315e-06, 8.99034258238145e-06, 1.16603030112258e-05, 1.51228312288769e-05, 1.96129529349212e-05, 2.54352207134502e-05, 3.29841683435992e-05, 4.27707053972016e-05, 5.54561248105849e-05, 7.18958313632514e-05, 9.31954227979614e-05, 1.20782367731330e-04, 1.56497209466554e-04, 2.02708936328495e-04, 2.62459799331951e-04, 3.39645244168985e-04, 4.39234443000422e-04, 5.67535660104533e-04, 7.32507615725537e-04, 9.44112105452451e-04, 1.21469317686978e-03, 1.55935306118224e-03, 1.99627451141338e-03, 2.54691493736552e-03, 3.23597510213126e-03, 4.09103436509565e-03, 5.14175977083962e-03, 6.41865096062317e-03, 7.95137940306351e-03, 9.76689999624100e-03, 1.18876139251364e-02, 1.43298947643919e-02, 1.71032279460271e-02, 2.02100733925079e-02, 2.36463971369542e-02, 2.74026915728357e-02, 3.14652506132444e-02, 3.58174829282429e-02, 4.04411060163317e-02, 4.53171343973807e-02, 5.04266347950069e-02, 5.57512610084339e-02, 6.12736019390519e-02, 6.69773829498255e-02, 7.28475589986517e-02, 7.88703322292727e-02, 8.50331197801452e-02, 9.13244910278679e-02, 9.77340879783772e-02, 1.04252538208639e-01, 1.10871366547237e-01, 1.17582909372878e-01, 1.24380233801599e-01, 1.31257062945031e-01, 1.38207707707289e-01, 1.45227005135651e-01, 1.52310263065985e-01, 1.59453210652156e-01, 1.66651954293987e-01, 1.73902938455578e-01, 1.81202910873333e-01, 1.88548891679097e-01, 1.95938145999193e-01, 2.03368159629765e-01, 2.10836617429103e-01, 2.18341384106561e-01, 2.25880487124065e-01, 2.33452101459503e-01, 2.41054536011681e-01, 2.48686221452762e-01, 2.56345699358723e-01, 2.64031612468684e-01, 2.71742695942783e-01, 2.79477769504149e-01, 2.87235730364833e-01, 2.95015546847664e-01, 3.02816252626866e-01, 3.10636941519503e-01, 3.18476762768082e-01, 3.26334916761672e-01, 3.34210651149156e-01, 3.42103257303627e-01, 3.50012067101685e-01, 3.57936449985571e-01, 3.65875810279643e-01, 3.73829584735962e-01, 3.81797240286494e-01, 3.89778271981947e-01, 3.97772201099286e-01, 4.05778573402340e-01, 4.13796957540671e-01, 4.21826943574548e-01, 4.29868141614175e-01, 4.37920180563205e-01, 4.45982706956990e-01, 4.54055383887562e-01, 4.62137890007651e-01, 4.70229918607142e-01, 4.78331176755675e-01, 4.86441384506059e-01, 4.94560274153348e-01, 5.02687589545177e-01, 5.10823085439086e-01, 5.18966526903235e-01, 5.27117688756998e-01, 5.35276355048428e-01, 5.43442318565661e-01, 5.51615380379768e-01, 5.59795349416641e-01, 5.67982042055800e-01, 5.76175281754088e-01, 5.84374898692498e-01, 5.92580729444440e-01, 6.00792616663950e-01, 6.09010408792398e-01, 6.17233959782450e-01, 6.25463128838069e-01, 6.33697780169485e-01, 6.41937782762089e-01, 6.50183010158361e-01, 6.58433340251944e-01, 6.66688655093089e-01, 6.74948840704708e-01, 6.83213786908386e-01, 6.91483387159697e-01, 6.99757538392251e-01, 7.08036140869916e-01, 7.16319098046733e-01, 7.24606316434025e-01, 7.32897705474271e-01, 7.41193177421404e-01, 7.49492647227008e-01, 7.57796032432224e-01, 7.66103253064927e-01, 7.74414231541921e-01, 7.82728892575836e-01, 7.91047163086478e-01, 7.99368972116378e-01, 8.07694250750291e-01, 8.16022932038457e-01, 8.24354950923382e-01, 8.32690244169987e-01, 8.41028750298844e-01, 8.49370409522600e-01, 8.57715163684985e-01, 8.66062956202683e-01, 8.74413732009721e-01, 8.82767437504206e-01, 8.91124020497459e-01, 8.99483430165226e-01, 9.07845617001021e-01, 9.16210532771399e-01, 9.24578130473112e-01, 9.32948364292029e-01, 9.41321189563734e-01, 9.49696562735755e-01, 9.58074441331298e-01, 9.66454783914439e-01, 9.74837550056705e-01, 9.83222700304978e-01, 9.91610196150662e-01, 1.00000000000000e+00]).reshape(-1, 1) + + result = pdf_function(xgrid) + lha = evln2lha(result.T).T + + data = { + 'replica' : replica, + 'q20' : q20, + 'xgrid': xgrid.T.tolist()[0], + 'labels': ['TBAR', 'BBAR', 'CBAR', 'SBAR', 'UBAR', 'DBAR', 'GLUON', 'D', 'U', 'S', 'C', 'B', 'T', 'PHT'], + 'pdfgrid': lha.tolist() + } + + with open(f'{replica_path}/{fitname}.exportgrid', 'w') as fs: + yaml.dump(data, fs) + + + # create empty files to make postfit happy + emptyfiles = ['chi2exps.log', f'{fitname}.params', f'{fitname}.sumrules'] + for fs in emptyfiles: + open(f'{replica_path}/{fs}', 'a').close() + + # Write chi2exp + with open(f'{replica_path}/chi2exps.log', 'w') as fs: + for line in all_chi2_lines: + fs.write(line) + + # Write preproc information + with open(f'{replica_path}/{fitname}.preproc','w') as fs: + for line in all_preproc_lines: + fs.write(line) + + + # create info file + arc_strings = [str(i) for i in arc_lengths] + arc_line = ' '.join(arc_strings) + with open(f'{replica_path}/{fitname}.fitinfo', 'w') as fs: + fs.write(f'{nite} {erf_vl} {erf_tr} {chi2} {pos_state}\n') + fs.write(arc_line) + From 5deb21a6dc5212ab29b61c25c539c4d12bca4a3f Mon Sep 17 00:00:00 2001 From: juacrumar Date: Mon, 20 May 2019 21:53:22 +0200 Subject: [PATCH 387/429] passed the code through pylint, some warnings explicitly ignored: W1202,W1203,R0913,R0914,C0326,C0330 --- n3fit/ModelTrainer.py | 96 +++++++++++---------- n3fit/{statistics.py => Statistics.py} | 26 +++--- n3fit/backends/__init__.py | 4 +- n3fit/backends/keras_backend/MetaLayer.py | 43 ++++----- n3fit/backends/keras_backend/MetaModel.py | 20 ++--- n3fit/backends/keras_backend/base_layers.py | 8 +- n3fit/backends/keras_backend/debug_mode.py | 1 - n3fit/backends/keras_backend/operations.py | 2 - n3fit/constrains.py | 35 ++++---- n3fit/create_testset.py | 8 +- n3fit/filetrials.py | 2 +- n3fit/fit.py | 51 +++++------ n3fit/layers/DIS.py | 2 +- n3fit/layers/DY.py | 11 +-- n3fit/layers/Integration.py | 10 ++- n3fit/layers/Mask.py | 2 - n3fit/layers/Observable.py | 19 ++-- n3fit/layers/Preprocessing.py | 4 +- n3fit/layers/__init__.py | 1 - n3fit/model_gen.py | 24 +++--- n3fit/n3fit.py | 4 +- n3fit/reader.py | 28 +++--- n3fit/writer.py | 13 ++- 23 files changed, 198 insertions(+), 216 deletions(-) rename n3fit/{statistics.py => Statistics.py} (96%) diff --git a/n3fit/ModelTrainer.py b/n3fit/ModelTrainer.py index f33e8c48a8..96b327b1df 100644 --- a/n3fit/ModelTrainer.py +++ b/n3fit/ModelTrainer.py @@ -2,20 +2,19 @@ ModelTrainer Class: This class provides a wrapper around the fitting code and the generation of the Neural Network - When the "hyperparametizable"* function is called with a dictionary of parameters, it generates a NN - and subsequentially performs a fit. + When the "hyperparametizable"* function is called with a dictionary of parameters, + it generates a NN and subsequentially performs a fit. - The motivation behind this class is to minimise the amount of redundant calls of each hyperopt run, - in particular this allows to completely reset the NN at the beginning of each iteration reusing some - of the previous work. + The motivation behind this class is minimising the amount of redundant calls of each hyperopt + run, in particular this allows to completely reset the NN at the beginning of each iteration + reusing some of the previous work. *called in this way because it accept a dictionary of parameters which defines the Neural Network """ -from backends import MetaModel, clear_backend_state import model_gen import constrains -import statistics -from pdb import set_trace +import Statistics +from backends import MetaModel, clear_backend_state # If an experiment matches this name, it will not be included int he training TESTNAME = 'TEST' @@ -24,7 +23,7 @@ validation_multiplier = 0.5 class ModelTrainer: - def __init__(self, exp_info, pos_info, flavinfo, nnseed, + def __init__(self, exp_info, pos_info, flavinfo, nnseed, pass_status = 'ok', failed_status = 'fail', log = None, debug = False): """ @@ -94,7 +93,8 @@ def __init__(self, exp_info, pos_info, flavinfo, nnseed, self.no_validation = True new_dict = {} for key, item in self.ndata_dict.items(): - if key.endswith("_vl"): continue + if key.endswith("_vl"): + continue new_dict[key + "_vl"] = item self.ndata_dict.update(new_dict) self.validation['expdata'] = self.training['expdata'] @@ -105,28 +105,29 @@ def set_model_file(self, model_file): """ If a model_file is set the training model will try to get the weights form here """ self.model_file = model_file - def set_hyperopt(self, on, keys = []): + def set_hyperopt(self, on, keys = None): """ Set hyperopt options on and off (mostly suppresses some printing) """ + if keys is None: + keys = [] self.hyperkeys = keys - if on: + if on: self.print_summary = False self.mode_hyperopt = True else: self.print_summary = True self.mode_hyperopt = False - - ########################################################################## - # # Internal functions - # Never to be called from the dark and cold outside world - ########################################################################## + ########################################################################### + # # Internal functions # + # Never to be called from the dark and cold outside world # + ########################################################################### def _fill_the_dictionaries(self): """ This function fills the following dictionaries with fixed information, - training: data for the fit - validation: data which for the stopping - experimental: 'true' data, only used for reporting purposes - - ndata_dict: a dictionary containing 'name of experiment' : Number Of Point + - ndata_dict: a dictionary containing 'name of experiment' : Number Of Points the fixed information (i.e., non dependant on the parameters of the fit) is: - experimental data (expdata) @@ -159,7 +160,7 @@ def _fill_the_dictionaries(self): for pos_dict in self.pos_info: self.training['expdata'].append( pos_dict['expdata'] ) - self.ndata_dict[pos_dict['name']] = pos_dict['ndata'] + self.ndata_dict[pos_dict['name']] = pos_dict['ndata'] self.training['posdatasets'].append(pos_dict['name']) self.ndata_dict['total_tr'] = self.training['ndata'] @@ -170,7 +171,7 @@ def _model_generation(self): """ Fills the three dictionaries with the 'model' entry Note: before entering this function the dictionaries contain a list of inputs - and a list of outputs, but they are not connected. + and a list of outputs, but they are not connected. This function connects inputs with outputs by injecting the PDF Compiles the validation and experimental models with fakes optimizers and learning rate @@ -222,7 +223,8 @@ def _reset_observables(self): self.training[key] = [] self.validation[key] = [] self.experimental[key] = [] - if self.test_dict: self.test_dict[key] = [] + if self.test_dict: + self.test_dict[key] = [] def _pdf_injection(self, olist): """ @@ -232,17 +234,17 @@ def _pdf_injection(self, olist): return [o(self.layer_pdf) for o in olist] - ########################################################################### - # # Parametizable functions - # - # The functions defined in this block accept a 'params' dictionary which - # defines the fit and the behaviours of the Neural Networks - # - # These are all called by the function hyperparamizable below - # i.e., the most important function is hyperparametizable, which is a - # wrapper around all of these - ########################################################################### - def _generate_observables(self, params): + ############################################################################ + # # Parametizable functions # + # # + # The functions defined in this block accept a 'params' dictionary which # + # defines the fit and the behaviours of the Neural Networks # + # # + # These are all called by the function hyperparamizable below # + # i.e., the most important function is hyperparametizable, which is a # + # wrapper around all of these # + ############################################################################ + def _generate_observables(self, params): """ This functions fills the 3 dictionaries (training, validation, experimental) with the output layers and the loss functions @@ -257,7 +259,7 @@ def _generate_observables(self, params): self._reset_observables() self.log_info("Generating layers") - # two parameters are used here which might go to the hyperopt + # two parameters are used here which might go to the hyperopt pos_multiplier = params['pos_multiplier'] # how much to increase the positivity penalty each 100 epochs pos_initial = params['pos_initial'] @@ -274,7 +276,7 @@ def _generate_observables(self, params): if exp_dict['name'] == TESTNAME and self.test_dict: # If this is the test set, fill the dictionary and stop here self.test_dict['output'].append( exp_layer['output'] ) - self.test_dict['losses'].append( exp_layer['loss'] ) + self.test_dict['losses'].append( exp_layer['loss'] ) continue # Now save the observable layer, the losses and the experimental data @@ -290,7 +292,7 @@ def _generate_observables(self, params): for pos_dict in self.pos_info: if not self.mode_hyperopt: self.log_info("Generating positivity penalty for {0}".format(pos_dict['name'])) - pos_layer = model_gen.observable_generator(pos_dict, + pos_layer = model_gen.observable_generator(pos_dict, positivity_initial = pos_initial, positivity_multiplier = pos_multiplier ) # The input list is still common @@ -313,7 +315,7 @@ def _generate_pdf(self, params): Defines the internal variable layer_pdf this layer takes any input (x) and returns the pdf value for that x - if the sumrule is being imposed, it also updates input_list with the + if the sumrule is being imposed, it also updates input_list with the integrator_input tensor used to calculate the sumrule Returns: (layers, integrator_input) @@ -380,7 +382,7 @@ def _train_and_fit(self, validation_object, epochs): Trains the NN for the number of epochs given using validation_object as the stopping criteria - Every 100 epochs the positivitiy will be updated with + Every 100 epochs the positivitiy will be updated with self.training['pos_multiplier'] """ training_model = self.training['model'] @@ -411,8 +413,8 @@ def _train_and_fit(self, validation_object, epochs): def _hyperopt_override(self, params): # I love the smell of napalm in the morning - for key in self.hyperkeys: - item = params[key] + for hyperkey in self.hyperkeys: + item = params[hyperkey] if isinstance(item, dict): for key, value in item.items(): params[key] = value @@ -442,23 +444,25 @@ def hyperparametizable(self, params): # Fill the 3 dictionaries (training, validation, experimental) with the layers and losses self._generate_observables(params) - # Generate the pdf layer + # Generate the pdf layer layers, integrator_input = self._generate_pdf(params) # Model generation self._model_generation() # Generate the validation_object - # this object golds statistical information about the fit and it can be used to perform stopping + # this object golds statistical information about the fit and it can be used to perform stopping epochs = int(params['epochs']) stopping_patience = params['stopping_patience'] stopping_epochs = epochs*stopping_patience - # If the tr/vl splitting is == 1, there will be no points in the validation so we should use the training as the splitting + # If the tr/vl splitting is == 1, there will be no points in the validation so we use the training as val if self.no_validation: - validation_object = statistics.Stat_Info(self.training['model'], self.training['expdata'], self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs) + validation_object = Statistics.Stat_Info( self.training['model'], self.training['expdata'], + self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs ) else: - validation_object = statistics.Stat_Info(self.validation['model'], self.validation['expdata'], self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs) + validation_object = Statistics.Stat_Info(self.validation['model'], self.validation['expdata'], + self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs ) # Compile the training['model'] with the given parameters self._model_compilation(params) @@ -482,7 +486,7 @@ def hyperparametizable(self, params): # Compute the testing loss if it was given if self.test_dict: - # Generate the 'true' chi2 with the experimental model but only for models that were stopped + # Generate the 'true' chi2 with the experimental model but only for models that were stopped target_model = self.test_dict['model'] target_data = self.test_dict['expdata'] out_final = target_model.evaluate( x = None, y = target_data, verbose = False, batch_size = 1) @@ -503,7 +507,7 @@ def hyperparametizable(self, params): arc_lengths = None dict_out = { - 'loss' : final_loss, + 'loss' : final_loss, 'status' : passed, 'arc_lengths' : arc_lengths, 'training_loss' : validation_object.tr_loss(), diff --git a/n3fit/statistics.py b/n3fit/Statistics.py similarity index 96% rename from n3fit/statistics.py rename to n3fit/Statistics.py index dce7be3fd2..a24579d282 100644 --- a/n3fit/statistics.py +++ b/n3fit/Statistics.py @@ -25,12 +25,12 @@ def __init__(self, vl_model, vl_data, ndata_dict, threshold_positivity = 1e-6, self.vl_data = vl_data self.stop_now = False - self.nan_found = False + self.nan_found = False self.stopping_epochs = stopping_epochs self.stopping_degree = 0 self.total_epochs = total_epochs self.epoch_of_the_stop = total_epochs - self.dont_stop = False + self.dont_stop = dont_stop self.total_epochs = total_epochs self.not_reloaded = True self.save_all_each = save_all_each @@ -38,10 +38,9 @@ def __init__(self, vl_model, vl_data, ndata_dict, threshold_positivity = 1e-6, # Threshold for positivity self.threshold_positivity = threshold_positivity - # Best model stats self.threshold = chi2_threshold - + # Number of points per experiment self.ndata_tr = max(ndata_dict['total_tr'], 1) self.ndata_vl = max(ndata_dict['total_vl'], 1) @@ -108,7 +107,8 @@ def _compute_validation(self): vl_list = [] # If validation dont include all experiments, there is something wrong in the modle - # and since evaluate returns a list with no names, it is impossible to know which experiment corresponds to which chi2 + # and since evaluate returns a list with no names, + # it is impossible to know which experiment corresponds to which chi2 if len(vl_list) != len(self.exp_names): vl_list = [0.0 for i in self.exp_names] @@ -121,7 +121,7 @@ def _compute_validation(self): return total, vl_dict def _parse_training(self, training_info): - """ Receives an object containing the training chi2 and parses it + """ Receives an object containing the training chi2 and parses it in the form of a { 'experiment' : chi2 } dictionary, where chi2 is already normalised to the number of points per experiment """ try: @@ -144,11 +144,11 @@ def _parse_training(self, training_info): def monitor_chi2(self, training_info, epoch): """ Function to be called at the end of every epoch. - Stores the total chi2 of the training set as well as the + Stores the total chi2 of the training set as well as the total chi2 of the validation set. If the training chi2 is below a certain threshold, - stores the state of the model which gave the minimum chi2 - as well as the epoch in which occurred + stores the state of the model which gave the minimum chi2 + as well as the epoch in which occurred If the epoch is a multiple of save_all_each then we also save the per-exp chi2 Returns True if the run seems ok and False if a NaN is found @@ -156,7 +156,7 @@ def monitor_chi2(self, training_info, epoch): vl_chi2, all_vl = self._compute_validation() tr_chi2, all_tr = self._parse_training(training_info) - if tr_chi2 != tr_chi2: + if np.isnan(tr_chi2): print(" > NaN found, stopping activated") self.stop_now = True self.nan_found = True @@ -209,7 +209,7 @@ def reload_model(self, force = False): self.vl_model.set_weights(self.w_best_chi2) def good_stop(self): - """ Returns true if and only if the stopping criteria was actually fulfilled + """ Returns true if and only if the stopping criteria was actually fulfilled and we didnt stop by error/nan """ return self.positivity and not self.nan_found @@ -274,10 +274,6 @@ def check_positivity(self, training_info): # Str functions def positivity_pass(self): - try: - print(" \n\n> > > > > Saved history: {0}\n\n\n".format(self.saved_history.history)) - except: - pass if self.positivity: return "POS_PASS" else: diff --git a/n3fit/backends/__init__.py b/n3fit/backends/__init__.py index 08e5a27605..4139736ef8 100644 --- a/n3fit/backends/__init__.py +++ b/n3fit/backends/__init__.py @@ -1,5 +1,3 @@ -print("Using Keras backend") - from backends.keras_backend.debug_mode import set_initial_state, clear_backend_state from backends.keras_backend.MetaLayer import MetaLayer from backends.keras_backend.MetaModel import MetaModel @@ -7,4 +5,4 @@ from backends.keras_backend import losses from backends.keras_backend import operations - +print("Using Keras backend") diff --git a/n3fit/backends/keras_backend/MetaLayer.py b/n3fit/backends/keras_backend/MetaLayer.py index 2b166b7729..1d79983e25 100644 --- a/n3fit/backends/keras_backend/MetaLayer.py +++ b/n3fit/backends/keras_backend/MetaLayer.py @@ -1,30 +1,28 @@ """ - The class MetaLayer is an extension of the backend Layer class + The class MetaLayer is an extension of the backend Layer class with a number of methods and helpers to facilitate writing new custom layers in such a way that the new custom layer don't need to rely in anything backend-dependent - In other words, if you want to implement a new layer and need functions not included in this - MetaLayer it is better to add a new method which is just a call to the relevant backend-dependent function + In other words, if you want to implement a new layer and need functions not included here + it is better to add a new method which is just a call to the relevant backend-dependent function For instance: np_to_tensor is just a call to K.constant """ from keras import backend as K - from keras.engine.topology import Layer - from keras.initializers import Constant, RandomUniform, glorot_normal, glorot_uniform - from keras.constraints import MinMaxNorm -from keras.layers import Input - -import numpy as np - - class MetaLayer(Layer): """ This metalayer function must contain all backend-dependent functions + + In order to write a custom Keras layer you usually need to override: + - __init__ + - build + - call + - output_shape """ # Define in this dictionary new initializers as well as the arguments they accept (with default values if needed be) @@ -45,7 +43,7 @@ def builder_helper(self, name, kernel_shape, initializer, trainable = True, cons constraint: one of the constraints from this class (actually, any keras constraints) """ kernel = self.add_weight( - name = name, + name = name, shape = kernel_shape, initializer = initializer, trainable = trainable, @@ -53,9 +51,6 @@ def builder_helper(self, name, kernel_shape, initializer, trainable = True, cons ) return kernel - def build(self, input_shape): - super (MetaLayer, self).build(input_shape) - # Implemented initializers @staticmethod def init_constant(value): @@ -84,8 +79,8 @@ def select_initializer(ini_name, seed = None, **kwargs): # Implemented constraint def constraint_MinMaxWeight(self, min_value, max_value): - """ Small override to the MinMaxNorm Keras class to not look at the - absolute value + """ + Small override to the MinMaxNorm Keras class to not look at the absolute value This version looks at the sum instead of at the norm """ class MinMaxWeight(MinMaxNorm): @@ -116,8 +111,10 @@ def tensor_ones(self, shape, **kwargs): def many_replication(self, grid, replications, axis = 0, **kwargs): """ - Generates a tensor with one extra dimension which is a repetition of "grid" n times along the given axis - frm keras documentation: If x has shape (s1, s2, s3) and axis is 1, the output will have shape (s1, s2 * rep, s3) + Generates a tensor with one extra dimension: + a repetition of "grid" n times along the given axis + from keras documentation: + If x has shape (s1, s2, s3) and axis is 1, the output will have shape (s1, s2 * rep, s3) """ return K.repeat_elements(grid, rep = replications, axis = axis, **kwargs) @@ -134,9 +131,9 @@ def tensor_product(self, tensor_x, tensor_y, axes, **kwargs): return K.tf.tensordot(tensor_x, tensor_y, axes = axes, **kwargs) def transpose(self, tensor, **kwargs): - """ + """ Transpose a tensor - """ + """ return K.transpose(tensor, **kwargs) def boolean_mask(self, tensor, mask, axis = None, **kwargs): @@ -148,7 +145,6 @@ def boolean_mask(self, tensor, mask, axis = None, **kwargs): def concatenate(self, tensor_list, axis = -1, target_shape = None): """ Concatenates a list of numbers or tenosr into a bigger tensor - If the target shape is given, the output is reshaped to said shape """ concatenated_tensor = K.concatenate(tensor_list, axis = axis) @@ -165,6 +161,3 @@ def permute_dimensions(self, tensor, permutation, **kwargs): does the permutation: axis_0 -> axis_1, axis_1 -> axis_0, axis_2 -> axis_2 """ return K.permute_dimensions( tensor, permutation , **kwargs) - - - diff --git a/n3fit/backends/keras_backend/MetaModel.py b/n3fit/backends/keras_backend/MetaModel.py index 5b40a3756a..991ae24a72 100644 --- a/n3fit/backends/keras_backend/MetaModel.py +++ b/n3fit/backends/keras_backend/MetaModel.py @@ -4,37 +4,37 @@ Extension of the backend Model class containing some wrappers in order to absorb other backend-dependent calls """ +import numpy as np from keras.models import Model from keras.layers import Input import keras.optimizers as Kopt import keras.backend as K -import numpy as np -class MetaModel(Model): +class MetaModel(Model): """ The goal of this class is to absorb all keras dependent code """ # Define in this dictionary new optimizers as well as the arguments they accept (with default values if needed be) optimizers = { - 'RMSprop' : ( - Kopt.RMSprop, {'lr': 0.01} + 'RMSprop' : ( + Kopt.RMSprop, {'lr': 0.01} ), - 'Adam' : ( + 'Adam' : ( Kopt.Adam, {'lr' : 0.01} ), 'Adagrad' : ( Kopt.Adagrad, {} ), - 'Adadelta' : ( + 'Adadelta' : ( Kopt.Adadelta, {} ), 'Adamax' : ( Kopt.Adamax, {} ), 'Nadam' : ( Kopt.Nadam, {} ), 'Amsgrad' : ( - Kopt.Adam, {'lr' : 0.01, 'amsgrad' : True } - ), + Kopt.Adam, {'lr' : 0.01, 'amsgrad' : True } + ), } def __init__(self, input_tensors, output_tensors, extra_tensors = None): @@ -79,7 +79,7 @@ def _np_to_input(self, x): else: return x - def compile(self, optimizer_name = 'RMSprop', learning_rate = 0.05, loss = None): + def compile(self, optimizer_name = 'RMSprop', learning_rate = 0.05, loss = None, **kwargs): """ Compile the model given: - Optimizer @@ -100,4 +100,4 @@ def compile(self, optimizer_name = 'RMSprop', learning_rate = 0.05, loss = None) opt_args['clipnorm'] = 1.0 opt = opt_function(**opt_args) - super (MetaModel, self).compile(optimizer = opt, loss = loss) + super (MetaModel, self).compile(optimizer = opt, loss = loss, **kwargs) diff --git a/n3fit/backends/keras_backend/base_layers.py b/n3fit/backends/keras_backend/base_layers.py index 0855747432..d43fed50f7 100644 --- a/n3fit/backends/keras_backend/base_layers.py +++ b/n3fit/backends/keras_backend/base_layers.py @@ -5,7 +5,7 @@ 'name of the layer' : ( Layer_class, {dictionary of arguments: defaults} ) """ -from keras.layers import Dense, concatenate, Lambda, LSTM, Dropout +from keras.layers import Dense, Lambda, LSTM, Dropout, concatenate from keras.backend import expand_dims @@ -15,7 +15,7 @@ def LSTM_modified(**kwargs): """ the_lstm = LSTM(**kwargs) - ExpandDim = Lambda( + ExpandDim = Lambda( lambda x: expand_dims(x, axis = -1) ) def ReshapedLSTM(input_tensor): @@ -28,7 +28,7 @@ def ReshapedLSTM(input_tensor): layers = { - 'dense' : (Dense, { + 'dense' : (Dense, { 'input_shape' : (1,), 'kernel_initializer' : 'glorot_normal', 'units' : 5, @@ -39,7 +39,7 @@ def ReshapedLSTM(input_tensor): 'units' : 5, 'activation' : 'sigmoid', }), - 'dropout' : (Dropout, { + 'dropout' : (Dropout, { 'rate' : 0.0, }), } diff --git a/n3fit/backends/keras_backend/debug_mode.py b/n3fit/backends/keras_backend/debug_mode.py index 193e28628e..9f1808fbcb 100644 --- a/n3fit/backends/keras_backend/debug_mode.py +++ b/n3fit/backends/keras_backend/debug_mode.py @@ -35,4 +35,3 @@ def clear_backend_state(debug): inter_op_parallelism_threads=8) sess = K.tf.Session(graph=K.tf.get_default_graph(), config=session_conf) K.set_session(sess) - diff --git a/n3fit/backends/keras_backend/operations.py b/n3fit/backends/keras_backend/operations.py index accd0fc9be..b2d6ba3fe5 100644 --- a/n3fit/backends/keras_backend/operations.py +++ b/n3fit/backends/keras_backend/operations.py @@ -4,7 +4,6 @@ from keras.layers import multiply as keras_multiply from keras.layers import Input -from keras.models import Model from keras import backend as K def numpy_to_input(numpy_array): @@ -108,4 +107,3 @@ def op_smn(o_list, **kwargs): numer = op_add( o_list[:2] ) denom = op_add( o_list[2:] ) return op_ratio( [numer, denom], **kwargs ) - diff --git a/n3fit/constrains.py b/n3fit/constrains.py index dac4895b31..4337eafc90 100644 --- a/n3fit/constrains.py +++ b/n3fit/constrains.py @@ -2,7 +2,6 @@ Functions to imposem the Momentum sum rule on the PDFs """ import numpy as np -import pdb from layers import xDivide, MSR_Normalization, xIntegrator, xMultiply from backends import operations @@ -10,7 +9,7 @@ def gen_integration_input(nx): """ - Generates a np.array (shaped (nx,1)) of nx elements where the + Generates a np.array (shaped (nx,1)) of nx elements where the nx/2 first elements are a logspace between 0 and 0.1 and the rest a linspace from 0.1 to 0 """ @@ -24,15 +23,14 @@ def gen_integration_input(nx): for i in range(1,nx): spacing.append( np.abs(xgrid[i-1]-xgrid[i]) ) spacing.append(0.0) - + weights = [] for i in range(nx): weights.append( (spacing[i]+spacing[i+1])/2.0 ) weights_array = np.array(weights).reshape(nx, 1) return xgrid, weights_array - - + def msr_impose(fit_layer, final_pdf_layer, verbose = False): """ This function receives: @@ -50,21 +48,21 @@ def msr_impose(fit_layer, final_pdf_layer, verbose = False): # for that we need to multiply several flavours with 1/x division_by_x = xDivide(size = nx) def pdf_integrand(x): - res = operations.op_multiply([ - division_by_x(x), fit_layer(x) + res = operations.op_multiply([ + division_by_x(x), fit_layer(x) ]) return res # 3. Now create the integration layer (the layer that will simply integrate, given some weight integrator = xIntegrator(weights_array, input_shape = (nx,)) - + # 4. Now create the normalization by selecting the right integrations normalizer = MSR_Normalization(input_shape = (8,)) - + # 5. Make the xgrid numpy array into a backend input layer so it can be given xgrid_input = operations.numpy_to_input(xgrid) normalization = normalizer( - integrator( + integrator( pdf_integrand(xgrid_input) ) ) @@ -73,12 +71,12 @@ def ultimate_pdf(x): return operations.op_multiply_dim( [final_pdf_layer(x), normalization] ) if verbose: - only_int = integrator(pdf_integrand(xgrid_input)) - modelito = MetaModel(xgrid_input, only_int) - result = modelito.predict(x = None, steps = 1) +# only_int = integrator(pdf_integrand(xgrid_input)) +# modelito = MetaModel(xgrid_input, only_int) +# result = modelito.predict(x = None, steps = 1) print(" > > Generating model for the inyection layer which imposes MSR") - check_integration(ultimate_pdf, xgrid_input) + check_integration(ultimate_pdf, xgrid_input, verbose = True) # Save a reference to xgrid in ultimate_pdf, very useful for debugging ultimate_pdf.ref_xgrid = xgrid_input @@ -92,8 +90,8 @@ def check_integration(ultimate_pdf, integration_input, verbose = False): multiplier = xDivide(size = nx, output_dim = 14, div_list = range(3,9)) def pdf_integrand(x): - res = operations.op_multiply([ - multiplier(x), ultimate_pdf(x) + res = operations.op_multiply([ + multiplier(x), ultimate_pdf(x) ]) return res @@ -109,7 +107,7 @@ def pdf_integrand(x): v = result_integrated[3] v3 = result_integrated[4] v8 = result_integrated[5] - print(""" + print(""" > > > Int from 0 to 1 of: x*g(x) + x*sigma(x) = {0} v = {1} @@ -153,6 +151,3 @@ def integrand(xgrid_input, xgrid_input_prime): v8 = {4}""".format(*arc_lengths[:5])) return arc_lengths - - - diff --git a/n3fit/create_testset.py b/n3fit/create_testset.py index 1f1147104b..cc60303880 100644 --- a/n3fit/create_testset.py +++ b/n3fit/create_testset.py @@ -1,5 +1,5 @@ -import numpy as np import os +import numpy as np from reportengine.compat import yaml @@ -36,7 +36,7 @@ def test_runcard(runcard_file, datasets_out): else: runcard_exp.remove(experiment) - # Generate the new runcard + # Generate the new runcard # TODO: maybe there is a proper report-enginy way of doing this runcard_exp.append(test_experiment) new_runcard = "TEST-{0}".format(os.path.basename(runcard_file)) @@ -48,7 +48,7 @@ def test_runcard(runcard_file, datasets_out): print("\n > You can find your new runcard at {0}/{1}\n".format(os.getcwd(), new_runcard)) def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml"): - """ + """ This function gets the list of experiment and goes through the datasets reading their experiment type and range in x Depending on these, chooses the ones to leave out for testing @@ -100,7 +100,7 @@ def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml datasets_out.append(data_out['name']) all_experiments[dataset['exp']] -= 1 - if len(datasets_out) == 0: + if not datasets_out: print("No redundant datasets were found") else: test_runcard(runcard_file, datasets_out) diff --git a/n3fit/filetrials.py b/n3fit/filetrials.py index eb8002fe6f..5e66409401 100644 --- a/n3fit/filetrials.py +++ b/n3fit/filetrials.py @@ -4,7 +4,7 @@ Custom hyperopt trial object for persistent file storage """ import json -from hyperopt import Trials, base, space_eval +from hyperopt import Trials, space_eval def space_eval_trial(space, trial): for_eval = {} diff --git a/n3fit/fit.py b/n3fit/fit.py index ce02169567..fae05bbc7a 100644 --- a/n3fit/fit.py +++ b/n3fit/fit.py @@ -3,18 +3,18 @@ """ # Backend-independent imports -import numpy as np import sys import logging import os.path -from pdb import set_trace +import numpy as np log = logging.getLogger(__name__) # Action to be called by validphys -def fit( fitting, # All information defining the NN should come here in the "parameters" dict +# All information defining the NN should come here in the "parameters" dict +def fit( fitting, experiments, t0set, replica, replica_path, output_path, - theoryid, posdatasets, hyperscan = None, + theoryid, posdatasets, hyperscan = None, hyperopt = None, debug = False, create_test_card = None): @@ -46,11 +46,11 @@ def fit( fitting, # All information defining the NN should come here in the "par else: status_ok = "ok" - # Loading t0set from LHAPDF + # Loading t0set from LHAPDF if t0set is not None: t0pdfset = t0set.load_t0() - # First set the seed variables for + # First set the seed variables for # - Tr/Vl split # - Neural Network initialization # - Replica generation @@ -115,7 +115,7 @@ def fit( fitting, # All information defining the NN should come here in the "par pass_status = status_ok, log = log, debug = debug) - # Check whether we want to load weights from a file (maybe from a previous run) + # Check whether we want to load weights from a file (maybe from a previous run) # check whether the file exists, otherwise set it to none # reading the data up will be done by the model_trainer if fitting.get('load'): @@ -133,13 +133,13 @@ def fit( fitting, # All information defining the NN should come here in the "par # Read up the parameters of the NN from the runcard parameters = fitting.get('parameters') - ####################################################################### - # ### Hyperopt - # If hyperopt is active the parameters of NN will be substituted by the - # hyoperoptimizable variables. - # Hyperopt will run for --hyperopt number of iterations before leaving - # this block - ####################################################################### + ######################################################################## + # ### Hyperopt # + # If hyperopt is active the parameters of NN will be substituted by the# + # hyoperoptimizable variables. # + # Hyperopt will run for --hyperopt number of iterations before leaving # + # this block # + ######################################################################## if hyperopt: from HyperScanner import HyperScanner @@ -181,21 +181,21 @@ def fit( fitting, # All information defining the NN should come here in the "par # Now update the parameters with the ones found by the scan true_best = hyper.space_eval(parameters, best) the_scanner.update_dict(true_best) - params = the_scanner.dict() + parameters = the_scanner.dict() print("##################") print("Best model found: ") for k, i in true_best.items(): print(" {0} : {1} ".format(k,i)) ####################################################################### end of hyperopt - # Ensure hyperopt is off - the_model_trainer.set_hyperopt(on = False) + # Ensure hyperopt is off + the_model_trainer.set_hyperopt(on = False) - ########################################################################### - # ### Fit - # This function performs the actual fit, it reads all the parameters in the - # "parameters" dictionary, uses them to generate the NN and trains the net - ########################################################################### + ############################################################################# + # ### Fit # + # This function performs the actual fit, it reads all the parameters in the # + # "parameters" dictionary, uses them to generate the NN and trains the net # + ############################################################################# result = pdf_gen_and_train_function(parameters) # After the fit is run we get a 'result' dictionary with the following items: @@ -237,9 +237,10 @@ def pdf_function(export_xgrid): result = modelito.predict(x = None, steps = 1) return result # export PDF grid to file - storefit(pdf_function, replica_number, replica_path_set, output_path.stem, theoryid.get_description().get('Q0')**2, - validation_object.epoch_of_the_stop, - validation_object.loss(), validation_object.tr_loss(), true_chi2, arc_lengths, allchi2_lines, preproc_lines, validation_object.positivity_pass()) + storefit(pdf_function, replica_number, replica_path_set, output_path.stem, + theoryid.get_description().get('Q0')**2, validation_object.epoch_of_the_stop, + validation_object.loss(), validation_object.tr_loss(), true_chi2, + arc_lengths, allchi2_lines, preproc_lines, validation_object.positivity_pass()) # Save the weights to some file diff --git a/n3fit/layers/DIS.py b/n3fit/layers/DIS.py index 263dc8a701..44066a073d 100644 --- a/n3fit/layers/DIS.py +++ b/n3fit/layers/DIS.py @@ -1,5 +1,5 @@ -from layers.Observable import Observable import numpy as np +from layers.Observable import Observable class DIS(Observable): def gen_basis(self, basis): diff --git a/n3fit/layers/DY.py b/n3fit/layers/DY.py index 8ea53f5ee2..b795ddc241 100644 --- a/n3fit/layers/DY.py +++ b/n3fit/layers/DY.py @@ -1,5 +1,5 @@ -from layers.Observable import Observable import numpy as np +from layers.Observable import Observable class DY(Observable): @@ -8,7 +8,7 @@ def gen_basis(self, basis): self.basis = basis_to_pairs self.basis_size = len(self.basis) - def call(self, pdf_in): + def call(self, pdf_in): # This is a convoluted way of applying a mask, but it is faster # mask-version below lumi_fun = [] @@ -17,7 +17,8 @@ def call(self, pdf_in): for i,j in self.basis: lumi_fun.append( self.tensor_product(pdfT[i], pdfT[j], axes = 0) ) - pdfXpdf = self.concatenate( lumi_fun, axis = 0, target_shape = (self.basis_size, self.xgrid_size, self.xgrid_size) ) + pdfXpdf = self.concatenate( lumi_fun, axis = 0, + target_shape = (self.basis_size, self.xgrid_size, self.xgrid_size) ) result = self.tensor_product(self.fktable, pdfXpdf, axes = 3) return result @@ -31,8 +32,8 @@ def gen_basis(self, basis): else: self.basis = np.ones((self.nfl, self.nfl), dtype = bool) - def call(self, x_raw): - lfun = self.tensor_product(x_raw, x_raw, axes = 0) + def call(self, pdf_in): + lfun = self.tensor_product(pdf_in, pdf_in, axes = 0) lfunT = self.permute_dimensions(lfun, (3,1,2,0)) x = self.boolean_mask(lfunT, self.basis, axis = 0) result = self.tensor_product(self.fktable, x, axes = 3) diff --git a/n3fit/layers/Integration.py b/n3fit/layers/Integration.py index b1fae2e1c4..07bb9d30e5 100644 --- a/n3fit/layers/Integration.py +++ b/n3fit/layers/Integration.py @@ -6,7 +6,9 @@ class xDivide(MetaLayer): By default: dimension = 8 dividing the entries corresponding to v, v3, v8 """ - def __init__(self, output_dim = 8, div_list = [2,3,4], size = 1000, **kwargs): + def __init__(self, output_dim = 8, div_list = None, size = 1000, **kwargs): + if div_list is None: + div_list = [2,3,4] self.output_dim = output_dim self.div_list = div_list self.one = self.tensor_ones( (size, 1) ) @@ -32,7 +34,9 @@ class xMultiply(MetaLayer): By default: dimension = 8 multiply all entries but v, v3, v8 """ - def __init__(self, output_dim = 8, div_list = [2,3,4], size = 1000, **kwargs): + def __init__(self, output_dim = 8, div_list = None, size = 1000, **kwargs): + if div_list is None: + div_list = [2,3,4] self.output_dim = output_dim self.div_list = div_list self.one = self.tensor_ones( (size, 1) ) @@ -90,7 +94,7 @@ def call(self, integrated): pdf_sr = self.concatenate([ self.one, # photon self.one, # sigma - (self.one - x[0])/x[1], # g + (self.one - x[0])/x[1], # g self.three/x[2], # v self.one/x[3], # v3 self.three/x[4], # v8 diff --git a/n3fit/layers/Mask.py b/n3fit/layers/Mask.py index 06d624ee6e..6b62b60f4b 100644 --- a/n3fit/layers/Mask.py +++ b/n3fit/layers/Mask.py @@ -21,5 +21,3 @@ def compute_output_shape(self, input_shape): def call(self, prediction_in): return self.boolean_mask(self.kernel*prediction_in, self.mask) - - diff --git a/n3fit/layers/Observable.py b/n3fit/layers/Observable.py index c951b15033..c08e69ab49 100644 --- a/n3fit/layers/Observable.py +++ b/n3fit/layers/Observable.py @@ -1,21 +1,18 @@ -from sys import exit -import numpy as np +import sys from backends import MetaLayer class Observable(MetaLayer): """ This class is the parent of the DIS and DY convolutions. - All backend-dependent code necessary for the convolutions + All backend-dependent code necessary for the convolutions is (must be) concentrated here - + The methods gen_basis and call must be overriden by the observables where - - gen_basis: it is called by the initializer and generates the mask between + - gen_basis: it is called by the initializer and generates the mask between fktables and pdfs - call: this is what does the actual operation - """ - def __init__(self, output_dim, fktable, basis = None, nfl = 14, **kwargs): self.nfl = nfl @@ -24,7 +21,7 @@ def __init__(self, output_dim, fktable, basis = None, nfl = 14, **kwargs): self.xgrid_size = self.fktable.shape[-1] self.gen_basis(basis) - + super(MetaLayer, self).__init__(**kwargs) @@ -34,10 +31,8 @@ def compute_output_shape(self, input_shape): # Overridables def gen_basis(self, basis): print("{0} must implement the method gen_basis".format(self)) - exit(-1) + sys.exit(-1) def call(self, pdf_in): print("{0} must implement the method gen_basis".format(self)) - exit(-1) - - + sys.exit(-1) diff --git a/n3fit/layers/Preprocessing.py b/n3fit/layers/Preprocessing.py index d2228280a2..5858937c3d 100644 --- a/n3fit/layers/Preprocessing.py +++ b/n3fit/layers/Preprocessing.py @@ -1,5 +1,4 @@ from backends import MetaLayer -import numpy as np BASIS_SIZE = 8 class Preprocessing(MetaLayer): @@ -71,7 +70,7 @@ def call(self, x_raw): pdf_raw_list = [ 0*x[0], # photon x[0], # sigma - x[1], # g + x[1], # g x[2], # v x[3], # v3 x[4], # v8 @@ -86,4 +85,3 @@ def call(self, x_raw): ] pdf = self.concatenate( pdf_raw_list, target_shape = (self.output_dim, -1) ) return self.transpose(pdf) - diff --git a/n3fit/layers/__init__.py b/n3fit/layers/__init__.py index 4fd194ccd1..b8bf8847f5 100644 --- a/n3fit/layers/__init__.py +++ b/n3fit/layers/__init__.py @@ -4,4 +4,3 @@ from layers.DY import DY from layers.Mask import Mask from backends import MetaLayer - diff --git a/n3fit/model_gen.py b/n3fit/model_gen.py index 022df86d6d..efc86f23bc 100644 --- a/n3fit/model_gen.py +++ b/n3fit/model_gen.py @@ -6,7 +6,6 @@ pdfNN_layer_generator: Generates the PDF NN layer to be fitted """ - from layers import DIS from layers import DY from layers import Mask @@ -14,20 +13,19 @@ from backends import operations from backends import losses -from backends import MetaModel, MetaLayer +from backends import MetaLayer from backends import base_layer_selector, concatenate, Lambda -import numpy as np -import pdb -def observable_generator(spec_dict, positivity_initial = None, positivity_multiplier = 1.05, verbose = False, positivity_steps = 300): +def observable_generator(spec_dict, positivity_initial = None, positivity_multiplier = 1.05, + verbose = False, positivity_steps = 300): """ - Receives a spec object (can be either a dataset or an experiment) + Receives a spec object (can be either a dataset or an experiment) Takes some optional arguments: positivity_initial: if given, set this number as the positivity multiplier for epoch 1 positivity_multiplier: how much the positivity increases every 100 steps - positivity_steps: if positivity_initial is not given, computes the initial by assuming we want, after - 100*positivity_steps epochs, to have the lambda of the runcard + positivity_steps: if positivity_initial is not given, computes the initial by assuming we want, + after 100**positivity_steps epochs, to have the lambda of the runcard returns a tuple with: (input_layer, obs_layer, loss function, exp_data) - input_layer: list of input layers @@ -142,12 +140,16 @@ def out_vl(pdf_layer): def pdfNN_layer_generator(inp = 2, - nodes = [15, 8], activations = ['tanh', 'linear'], initializer_name = 'glorot_normal', layer_type = 'dense', + nodes = None, activations = None, initializer_name = 'glorot_normal', layer_type = 'dense', flav_info = None, out = 14, seed = None, dropout = 0.0): """ Generates a NN that takes as input the xgrid value and outputs the basis of 14 PDFs fk tables use """ + if nodes is None: + nodes = [15,8] + if activations is None: + activations = ['tanh', 'linear'] # Safety check ln = len(nodes) la = len(activations) @@ -161,7 +163,7 @@ def pdfNN_layer_generator(inp = 2, # If dropout == 0, don't add dropout layer if dropout == 0.0: dropme = -99 - else: # Add the dropout to the second to last layer + else: # Add the dropout to the second to last layer dropme = ln-2 # Layer generation @@ -174,7 +176,7 @@ def pdfNN_layer_generator(inp = 2, init = MetaLayer.select_initializer(initializer_name, seed=seed+i) arguments = {'kernel_initializer' : init, 'units' : int(units), 'activation' : activation, - 'input_shape' : (pre,), + 'input_shape' : (pre,), } # Arguments that are not used by a given layer are just dropped tmpl = base_layer_selector(layer_type, **arguments) diff --git a/n3fit/n3fit.py b/n3fit/n3fit.py index 4dc3878273..8f4be78674 100755 --- a/n3fit/n3fit.py +++ b/n3fit/n3fit.py @@ -8,7 +8,6 @@ import shutil import pathlib import logging -import hashlib import warnings import argparse @@ -114,7 +113,7 @@ class N3FitApp(App): config_class = N3FitConfig def __init__(self): - super(N3FitApp, self).__init__(name='n3fit', + super(N3FitApp, self).__init__(name='n3fit', providers=N3FIT_PROVIDERS) @property @@ -156,7 +155,6 @@ def run(self): replicas = list(range(replica, self.args['replica_range']+1)) else: replicas = [replica] - from pdb import set_trace self.environment.replica = replicas self.environment.hyperopt = self.args['hyperopt'] if self.args['create_test_card']: diff --git a/n3fit/reader.py b/n3fit/reader.py index 0f33b2ec21..5d82bc7bd2 100644 --- a/n3fit/reader.py +++ b/n3fit/reader.py @@ -1,12 +1,11 @@ """ Library of function for reading NNPDF objects """ -import numpy as np -from pdb import set_trace import hashlib import copy +import numpy as np -from NNPDF import FKTable, DataSet, FKSet, CommonData, RandomGenerator +from NNPDF import RandomGenerator from validphys.core import ExperimentSpec as vp_Exp from validphys.core import DataSetSpec as vp_Dataset @@ -22,14 +21,14 @@ def make_tr_val_mask(datasets, exp_name, seed): ndata = dataset_dict['ndata'] frac = dataset_dict['frac'] trmax = int(frac*ndata) - mask = np.concatenate([np.ones(trmax, dtype=np.bool), + mask = np.concatenate([np.ones(trmax, dtype=np.bool), np.zeros(ndata-trmax, dtype=np.bool)]) np.random.shuffle(mask) trmask_partial.append(mask) - vlmask_partial.append(mask == False) + vlmask_partial.append(mask == False) trmask = np.concatenate(trmask_partial) - vlmask = np.concatenate(vlmask_partial) - + vlmask = np.concatenate(vlmask_partial) + return trmask, vlmask def fk_parser(fk, is_hadronic = False): @@ -112,7 +111,7 @@ def common_data_reader_dataset(dataset_c, dataset_spec): how_many = dataset_c.GetNSigma() dict_fktables = [] for i in range(how_many): - fktable = dataset_c.GetFK(i) + fktable = dataset_c.GetFK(i) dict_fktables.append(fk_parser(fktable, dataset_c.IsHadronic())) dataset_dict = { @@ -135,7 +134,7 @@ def common_data_reader_experiment(experiment_c, experiment_spec): -def common_data_reader(spec, t0pdfset, replica_seeds = [], trval_seeds = [0]): +def common_data_reader(spec, t0pdfset, replica_seeds = None, trval_seeds = None): """ Wrapper to read the information from validphys object This function receives either a validphyis experiment or dataset objects @@ -146,11 +145,16 @@ def common_data_reader(spec, t0pdfset, replica_seeds = [], trval_seeds = [0]): - ndata: number of data points - experiment: True/False, is it an experiment? """ + if replica_seeds is None: + replica_seeds = [] + if trval_seeds is None: + trval_seeds = [0] # TODO # This whole thing would be much more clear / streamlined if # - The c experiment/dataset object had all the required information for the fit # (i.e., there is a swig conversion for everything, right now missing the operator) - # - The python object stored the load within the spec when doing spec.load() this way it would not be necessary to load twice + # - The python object stored the load within the spec when doing spec.load() + # this way it would not be necessary to load twice # - The python object had all necessary information (same as point 1 but inverted) spec_c = spec.load() @@ -197,12 +201,12 @@ def common_data_reader(spec, t0pdfset, replica_seeds = [], trval_seeds = [0]): covmat_tr = covmat[tr_mask].T[tr_mask] ndata_tr = np.count_nonzero(tr_mask) expdata_tr = expdata[tr_mask].reshape(1, ndata_tr) - invcovmat_tr = np.linalg.inv(covmat_tr) + invcovmat_tr = np.linalg.inv(covmat_tr) covmat_vl = covmat[vl_mask].T[vl_mask] ndata_vl = np.count_nonzero(vl_mask) expdata_vl = expdata[vl_mask].reshape(1, ndata_vl) - invcovmat_vl = np.linalg.inv(covmat_vl) + invcovmat_vl = np.linalg.inv(covmat_vl) dict_out = { 'datasets' : datasets, diff --git a/n3fit/writer.py b/n3fit/writer.py index bacd3064fa..3d8d255683 100644 --- a/n3fit/writer.py +++ b/n3fit/writer.py @@ -59,24 +59,25 @@ def evln2lha(evln): return lha -def storefit(pdf_function, replica, replica_path, fitname, q20, nite, erf_vl, erf_tr, chi2, arc_lengths, all_chi2_lines, all_preproc_lines, pos_state): - +def storefit(pdf_function, replica, replica_path, fitname, q20, nite, erf_vl, erf_tr, chi2, + arc_lengths, all_chi2_lines, all_preproc_lines, pos_state): + # build exportgrid xgrid = np.array([1.00000000000000e-09, 1.29708482343957e-09, 1.68242903474257e-09, 2.18225315420583e-09, 2.83056741739819e-09, 3.67148597892941e-09, 4.76222862935315e-09, 6.17701427376180e-09, 8.01211109898438e-09, 1.03923870607245e-08, 1.34798064073805e-08, 1.74844503691778e-08, 2.26788118881103e-08, 2.94163370300835e-08, 3.81554746595878e-08, 4.94908707232129e-08, 6.41938295708371e-08, 8.32647951986859e-08, 1.08001422993829e-07, 1.40086873081130e-07, 1.81704331793772e-07, 2.35685551545377e-07, 3.05703512595323e-07, 3.96522309841747e-07, 5.14321257236570e-07, 6.67115245136676e-07, 8.65299922973143e-07, 1.12235875241487e-06, 1.45577995547683e-06, 1.88824560514613e-06, 2.44917352454946e-06, 3.17671650028717e-06, 4.12035415232797e-06, 5.34425265752090e-06, 6.93161897806315e-06, 8.99034258238145e-06, 1.16603030112258e-05, 1.51228312288769e-05, 1.96129529349212e-05, 2.54352207134502e-05, 3.29841683435992e-05, 4.27707053972016e-05, 5.54561248105849e-05, 7.18958313632514e-05, 9.31954227979614e-05, 1.20782367731330e-04, 1.56497209466554e-04, 2.02708936328495e-04, 2.62459799331951e-04, 3.39645244168985e-04, 4.39234443000422e-04, 5.67535660104533e-04, 7.32507615725537e-04, 9.44112105452451e-04, 1.21469317686978e-03, 1.55935306118224e-03, 1.99627451141338e-03, 2.54691493736552e-03, 3.23597510213126e-03, 4.09103436509565e-03, 5.14175977083962e-03, 6.41865096062317e-03, 7.95137940306351e-03, 9.76689999624100e-03, 1.18876139251364e-02, 1.43298947643919e-02, 1.71032279460271e-02, 2.02100733925079e-02, 2.36463971369542e-02, 2.74026915728357e-02, 3.14652506132444e-02, 3.58174829282429e-02, 4.04411060163317e-02, 4.53171343973807e-02, 5.04266347950069e-02, 5.57512610084339e-02, 6.12736019390519e-02, 6.69773829498255e-02, 7.28475589986517e-02, 7.88703322292727e-02, 8.50331197801452e-02, 9.13244910278679e-02, 9.77340879783772e-02, 1.04252538208639e-01, 1.10871366547237e-01, 1.17582909372878e-01, 1.24380233801599e-01, 1.31257062945031e-01, 1.38207707707289e-01, 1.45227005135651e-01, 1.52310263065985e-01, 1.59453210652156e-01, 1.66651954293987e-01, 1.73902938455578e-01, 1.81202910873333e-01, 1.88548891679097e-01, 1.95938145999193e-01, 2.03368159629765e-01, 2.10836617429103e-01, 2.18341384106561e-01, 2.25880487124065e-01, 2.33452101459503e-01, 2.41054536011681e-01, 2.48686221452762e-01, 2.56345699358723e-01, 2.64031612468684e-01, 2.71742695942783e-01, 2.79477769504149e-01, 2.87235730364833e-01, 2.95015546847664e-01, 3.02816252626866e-01, 3.10636941519503e-01, 3.18476762768082e-01, 3.26334916761672e-01, 3.34210651149156e-01, 3.42103257303627e-01, 3.50012067101685e-01, 3.57936449985571e-01, 3.65875810279643e-01, 3.73829584735962e-01, 3.81797240286494e-01, 3.89778271981947e-01, 3.97772201099286e-01, 4.05778573402340e-01, 4.13796957540671e-01, 4.21826943574548e-01, 4.29868141614175e-01, 4.37920180563205e-01, 4.45982706956990e-01, 4.54055383887562e-01, 4.62137890007651e-01, 4.70229918607142e-01, 4.78331176755675e-01, 4.86441384506059e-01, 4.94560274153348e-01, 5.02687589545177e-01, 5.10823085439086e-01, 5.18966526903235e-01, 5.27117688756998e-01, 5.35276355048428e-01, 5.43442318565661e-01, 5.51615380379768e-01, 5.59795349416641e-01, 5.67982042055800e-01, 5.76175281754088e-01, 5.84374898692498e-01, 5.92580729444440e-01, 6.00792616663950e-01, 6.09010408792398e-01, 6.17233959782450e-01, 6.25463128838069e-01, 6.33697780169485e-01, 6.41937782762089e-01, 6.50183010158361e-01, 6.58433340251944e-01, 6.66688655093089e-01, 6.74948840704708e-01, 6.83213786908386e-01, 6.91483387159697e-01, 6.99757538392251e-01, 7.08036140869916e-01, 7.16319098046733e-01, 7.24606316434025e-01, 7.32897705474271e-01, 7.41193177421404e-01, 7.49492647227008e-01, 7.57796032432224e-01, 7.66103253064927e-01, 7.74414231541921e-01, 7.82728892575836e-01, 7.91047163086478e-01, 7.99368972116378e-01, 8.07694250750291e-01, 8.16022932038457e-01, 8.24354950923382e-01, 8.32690244169987e-01, 8.41028750298844e-01, 8.49370409522600e-01, 8.57715163684985e-01, 8.66062956202683e-01, 8.74413732009721e-01, 8.82767437504206e-01, 8.91124020497459e-01, 8.99483430165226e-01, 9.07845617001021e-01, 9.16210532771399e-01, 9.24578130473112e-01, 9.32948364292029e-01, 9.41321189563734e-01, 9.49696562735755e-01, 9.58074441331298e-01, 9.66454783914439e-01, 9.74837550056705e-01, 9.83222700304978e-01, 9.91610196150662e-01, 1.00000000000000e+00]).reshape(-1, 1) result = pdf_function(xgrid) lha = evln2lha(result.T).T - data = { + data = { 'replica' : replica, 'q20' : q20, 'xgrid': xgrid.T.tolist()[0], 'labels': ['TBAR', 'BBAR', 'CBAR', 'SBAR', 'UBAR', 'DBAR', 'GLUON', 'D', 'U', 'S', 'C', 'B', 'T', 'PHT'], 'pdfgrid': lha.tolist() } - + with open(f'{replica_path}/{fitname}.exportgrid', 'w') as fs: - yaml.dump(data, fs) + yaml.dump(data, fs) # create empty files to make postfit happy @@ -93,7 +94,6 @@ def storefit(pdf_function, replica, replica_path, fitname, q20, nite, erf_vl, er with open(f'{replica_path}/{fitname}.preproc','w') as fs: for line in all_preproc_lines: fs.write(line) - # create info file arc_strings = [str(i) for i in arc_lengths] @@ -101,4 +101,3 @@ def storefit(pdf_function, replica, replica_path, fitname, q20, nite, erf_vl, er with open(f'{replica_path}/{fitname}.fitinfo', 'w') as fs: fs.write(f'{nite} {erf_vl} {erf_tr} {chi2} {pos_state}\n') fs.write(arc_line) - From f875f508ce7b6e1458acd4505ea9182a2def11c5 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Mon, 20 May 2019 21:56:41 +0200 Subject: [PATCH 388/429] changes to the yaml files --- n3fit/plotting.py | 4 +-- n3fit/runcards/Basic_runcard.yml | 34 ++++++++++++------------- n3fit/runcards/PN3_DIS_example.yml | 36 +++++++++++++-------------- n3fit/runcards/PN3_Global_example.yml | 36 +++++++++++++-------------- 4 files changed, 55 insertions(+), 55 deletions(-) diff --git a/n3fit/plotting.py b/n3fit/plotting.py index 357f810f15..6c5d667f21 100755 --- a/n3fit/plotting.py +++ b/n3fit/plotting.py @@ -18,8 +18,8 @@ from pdb import set_trace import re -regex_op = re.compile("[^\w^\.]+") -regex_not_op = re.compile("[\w\.]+") +regex_op = re.compile(r'[^\w^\.]+') +regex_not_op = re.compile(r'[\w\.]+') keywords = { 'id' : 'iteration', diff --git a/n3fit/runcards/Basic_runcard.yml b/n3fit/runcards/Basic_runcard.yml index 6044711246..4da9e07eea 100644 --- a/n3fit/runcards/Basic_runcard.yml +++ b/n3fit/runcards/Basic_runcard.yml @@ -61,17 +61,17 @@ hyperscan: ############################################################ fitting: - genrep : on # on = generate MC replicas, off = use real data + genrep : True # on = generate MC replicas, False = use real data trvlseed: 1 nnseed: 2 mcseed: 3 epochs: 900 # CHANGE THE FOLLOWING OPTIONS - save: off + save: False savefile: 'weights.hd5' - load: off + load: False loadfile: 'weights.hd5' - plot: off + plot: False parameters: # This defines the parameter dictionary that is passed to the Model Trainer nodes_per_layer: [15, 10, 8] @@ -93,18 +93,18 @@ fitting: fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. basis: # remeber to change the name of PDF accordingly with fitbasis - # pos: on for NN squared + # pos: True for NN squared # mutsize: mutation size # mutprob: mutation probability # smallx, largex: preprocessing ranges - - { fl: sng, pos: off, mutsize: [15], mutprob: [0.05], smallx: [1.05,1.19], largex: [1.47,2.70] } - - { fl: g, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.94,1.25], largex: [0.11,5.87] } - - { fl: v, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.54,0.75], largex: [1.15,2.76] } - - { fl: v3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.21,0.57], largex: [1.35,3.08] } - - { fl: v8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.52,0.76], largex: [0.77,3.56] } - - { fl: t3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.37,1.52], largex: [1.74,3.39] } - - { fl: t8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.56,1.29], largex: [1.45,3.03] } - - { fl: cp, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.12,1.19], largex: [1.83,6.70] } + - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.05,1.19], largex: [1.47,2.70] } + - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.94,1.25], largex: [0.11,5.87] } + - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.54,0.75], largex: [1.15,2.76] } + - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.21,0.57], largex: [1.35,3.08] } + - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.52,0.76], largex: [0.77,3.56] } + - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.37,1.52], largex: [1.74,3.39] } + - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.56,1.29], largex: [1.45,3.03] } + - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.12,1.19], largex: [1.83,6.70] } ############################################################ stopping: @@ -128,14 +128,14 @@ positivity: ############################################################ closuretest: filterseed : 0 # Random seed to be used in filtering data partitions - fakedata : off # on = to use FAKEPDF to generate pseudo-data + fakedata : False # on = to use FAKEPDF to generate pseudo-data fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data errorsize : 1.0 # uncertainties rescaling - fakenoise : off # on = to add random fluctuations to pseudo-data + fakenoise : False # on = to add random fluctuations to pseudo-data rancutprob : 1.0 # Fraction of data to be included in the fit rancutmethod: 0 # Method to select rancutprob data fraction - rancuttrnval: off # 0(1) to output training(valiation) chi2 in report - printpdf4gen: off # To print info on PDFs during minimization + rancuttrnval: False # 0(1) to output training(valiation) chi2 in report + printpdf4gen: False # To print info on PDFs during minimization ############################################################ lhagrid: diff --git a/n3fit/runcards/PN3_DIS_example.yml b/n3fit/runcards/PN3_DIS_example.yml index a10e6f83b3..19efd8f33e 100644 --- a/n3fit/runcards/PN3_DIS_example.yml +++ b/n3fit/runcards/PN3_DIS_example.yml @@ -82,14 +82,14 @@ fitting: nnseed: 2 mcseed: 3 epochs: 20000 - save: off + save: False savefile: 'weights.hd5' - load: off + load: False loadfile: 'weights.hd5' - plot: off + plot: False seed : 9453862133528 # set the seed for the random generator - genrep : on # on = generate MC replicas, off = use real data + genrep : True # on = generate MC replicas, off = use real data rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc fitmethod: NGA # Minimization algorithm nmutants : 80 # Number of mutants for replica @@ -116,18 +116,18 @@ fitting: fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. basis: # remeber to change the name of PDF accordingly with fitbasis - # pos: on for NN squared + # pos: True for NN squared # mutsize: mutation size # mutprob: mutation probability # smallx, largex: preprocessing ranges - - { fl: sng, pos: off, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } - - { fl: g, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } - - { fl: v, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } - - { fl: v3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } - - { fl: v8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } - - { fl: t3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } - - { fl: t8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } - - { fl: cp, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } + - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } + - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } + - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } + - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } + - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } + - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } + - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } + - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } ############################################################ stopping: @@ -157,14 +157,14 @@ positivity: ############################################################ closuretest: filterseed : 0 # Random seed to be used in filtering data partitions - fakedata : off # on = to use FAKEPDF to generate pseudo-data + fakedata : False # on = to use FAKEPDF to generate pseudo-data fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data errorsize : 1.0 # uncertainties rescaling - fakenoise : off # on = to add random fluctuations to pseudo-data + fakenoise : False # on = to add random fluctuations to pseudo-data rancutprob : 1.0 # Fraction of data to be included in the fit rancutmethod: 0 # Method to select rancutprob data fraction - rancuttrnval: off # 0(1) to output training(valiation) chi2 in report - printpdf4gen: off # To print info on PDFs during minimization + rancuttrnval: False # 0(1) to output training(valiation) chi2 in report + printpdf4gen: False # To print info on PDFs during minimization ############################################################ lhagrid: @@ -176,4 +176,4 @@ lhagrid: qmax: 1e5 ############################################################ -debug: off +debug: False diff --git a/n3fit/runcards/PN3_Global_example.yml b/n3fit/runcards/PN3_Global_example.yml index 5800fa9e1d..5e66e1d96e 100644 --- a/n3fit/runcards/PN3_Global_example.yml +++ b/n3fit/runcards/PN3_Global_example.yml @@ -167,14 +167,14 @@ fitting: nnseed: 2 mcseed: 3 epochs: 50000 - save: off + save: False savefile: 'weights.hd5' - load: off + load: False loadfile: 'weights.hd5' - plot: off + plot: False seed : 9453862133528 # set the seed for the random generator - genrep : on # on = generate MC replicas, off = use real data + genrep : True # on = generate MC replicas, off = use real data rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc fitmethod: NGA # Minimization algorithm ngen : 30000 # Maximum number of generations @@ -202,18 +202,18 @@ fitting: fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. basis: # remeber to change the name of PDF accordingly with fitbasis - # pos: on for NN squared + # pos: True for NN squared # mutsize: mutation size # mutprob: mutation probability # smallx, largex: preprocessing ranges - - { fl: sng, pos: off, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } - - { fl: g, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } - - { fl: v, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } - - { fl: v3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } - - { fl: v8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } - - { fl: t3, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } - - { fl: t8, pos: off, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } - - { fl: cp, pos: off, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } + - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } + - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } + - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } + - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } + - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } + - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } + - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } + - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } ############################################################ stopping: @@ -243,14 +243,14 @@ positivity: ############################################################ closuretest: filterseed : 0 # Random seed to be used in filtering data partitions - fakedata : off # on = to use FAKEPDF to generate pseudo-data + fakedata : False # on = to use FAKEPDF to generate pseudo-data fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data errorsize : 1.0 # uncertainties rescaling - fakenoise : off # on = to add random fluctuations to pseudo-data + fakenoise : False # on = to add random fluctuations to pseudo-data rancutprob : 1.0 # Fraction of data to be included in the fit rancutmethod: 0 # Method to select rancutprob data fraction - rancuttrnval: off # 0(1) to output training(valiation) chi2 in report - printpdf4gen: off # To print info on PDFs during minimization + rancuttrnval: False # 0(1) to output training(valiation) chi2 in report + printpdf4gen: False # To print info on PDFs during minimization ############################################################ lhagrid: @@ -262,4 +262,4 @@ lhagrid: qmax: 1e5 ############################################################ -debug: off +debug: False From 182d07cb2fcd850b442d29d2264a0d0893756534 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Mon, 20 May 2019 22:14:32 +0200 Subject: [PATCH 389/429] a bit of pylint to the hyperopt files --- n3fit/HyperAlgorithm.py | 49 +++++++++++++++++--------------------- n3fit/HyperScanner.py | 38 ++++++++++++++++++++---------- n3fit/plotting.py | 52 +++++++++++++++++++++-------------------- 3 files changed, 74 insertions(+), 65 deletions(-) diff --git a/n3fit/HyperAlgorithm.py b/n3fit/HyperAlgorithm.py index e09e14a5a0..47db4062a4 100644 --- a/n3fit/HyperAlgorithm.py +++ b/n3fit/HyperAlgorithm.py @@ -1,7 +1,5 @@ import itertools import numpy as np -from pdb import set_trace - class HyperAlgorithm(): @@ -25,7 +23,7 @@ def __init__(self, key_info, verbose = True, k_good = 'good', k_loss = 'loss', self.how_many_to_kill = how_many_to_kill - # Some variables are not discrete, find them + # Some variables are not discrete, find them update_dict = {} for key, values in key_info.items(): try: # Remove nan if there are @@ -65,7 +63,8 @@ def __dataframe_killer(self, dataframe, hit_list): def __verbose_elimination(self, md, printout = True): """ Show a log of everything that is being eliminated - if there is only one item in the dictionary, it also removes it from the combination list just to avoid looking at useless combinations + if there is only one item in the dictionary, + it also removes it from the combination list just to avoid looking at useless combinations """ combination = md['combination'] str_list = [] @@ -80,9 +79,7 @@ def __print(self, string, **kwargs): print(string, **kwargs) def __compute_reward(self, md): - """ - Computes a reward function from the information we have - """ + """ Computes a reward function from the information we have """ frate = md['f_rate'] ngood = md['n_good'] ntotal = md['n_total'] @@ -93,7 +90,7 @@ def __compute_reward(self, md): rate_good = ngood/ntotal*100.0 # The reward can be negative - reward = (50.0 - frate)/100.0 + reward = (50.0 - frate)/100.0 reward -= dstd/rate_good # the less spread the better # Finally scale it with the total number of points weight_points = 1.0 + ntotal/self.biggest_total @@ -104,8 +101,8 @@ def __compute_reward(self, md): def print_ranges(self, dataframe, keys = None, dataframe_original = None): """ Receives a dataframe and a number of keys and prints the surviving keys and ranges - - If dataframe_original is given, will also print (for discrete values) how many of each have survived from the total + If dataframe_original is given, will also print (for discrete values) + how many of each have survived from the total """ # First get the keys we are printing keys = self.key_info.keys() @@ -135,11 +132,7 @@ def print_ranges(self, dataframe, keys = None, dataframe_original = None): reward = md['reward'] list_str.append( " Reward: {1:.3f}: {0} ".format(val, reward) ) print("\n".join(list_str)) - return - - - - + return for key in keys: df_slice = dataframe[key] @@ -154,7 +147,8 @@ def print_ranges(self, dataframe, keys = None, dataframe_original = None): news = df_slice.value_counts() string = " values: " for val in values: - string += "{0} ({1}/{2} {3:2.0f}%), ".format(val, news[val], originals[val], news[val]/originals[val]*100.0 ) + string += "{0} ({1}/{2} {3:2.0f}%), ".format(val, + news[val], originals[val], news[val]/originals[val]*100.0) string = string[:-2] else: string = " values: {0}".format(values) @@ -199,7 +193,6 @@ def get_slice(self, dataframe, keys_info): keys_info must be a dictionary {key1 : value1, key2, value2 ...} """ df_slice = dataframe - check = False for key, value in keys_info.items(): # First check whether for this slice the values for this key are something different from NaN key_column = df_slice[key] @@ -218,7 +211,6 @@ def get_combinations(self, n, key_info = None, single_key = None): """ Get all combinations of n elements for the keys and values given in the dictionary key_info: { 'key' : [possible values] }, if key_info is None, the dictionary used to initialize the class will be used - Returns a list of dictionaries such that: [ {'key1' : val1-1, 'key2', val2-1 ... }, @@ -234,7 +226,7 @@ def get_combinations(self, n, key_info = None, single_key = None): if single_key: single_options = key_info[single_key] key_info = {single_key : single_options} - + key_combinations = itertools.combinations(key_info, n) all_combinations = [] for keys in key_combinations: @@ -249,7 +241,7 @@ def get_combinations(self, n, key_info = None, single_key = None): def study_combination(self, dataframe, combination): """ - Given a dataframe and a dictionary of {key1 : value1, key2: value2} + Given a dataframe and a dictionary of {key1 : value1, key2: value2} returns a dictionary with a number of stats for that combination """ df_slice = self.get_slice(dataframe, combination) @@ -261,7 +253,7 @@ def study_combination(self, dataframe, combination): def __sort_to_survive(self, info_dict, how_many_to_save): """ - Receives a list of dictionaries with an entry called reward, returns the + Receives a list of dictionaries with an entry called reward, returns the 'n' best """ sorted_by_reward = sorted(info_dict, key = lambda i: i['reward']) @@ -280,7 +272,7 @@ def __sort_to_survive(self, info_dict, how_many_to_save): def __sort_to_kill(self, info_dict, by_key = False, how_many_to_kill = None): """ - Receives a list of dictionaries with an entry called reward, returns the + Receives a list of dictionaries with an entry called reward, returns the 'n' worst ones. If by key is True, returns the 'n' worst for each set of keys """ @@ -318,7 +310,7 @@ def remove_failing(self, dataframe, n_combinations = 1, key = None, fail_thresho for combination in combinations: md = self.study_combination(dataframe, combination) - if md['skip']: + if md['skip']: continue reward = md['reward'] if fail_threshold == 'median': @@ -338,7 +330,8 @@ def remove_failing(self, dataframe, n_combinations = 1, key = None, fail_thresho print("Eliminated {0} with reward: {1}".format(i['combination'], i['reward'])) return new_dataframe - def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, key = None, verbose = False, kill_threshold = None): + def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, + key = None, verbose = False, kill_threshold = None): """ It starts killing the entry with the worst reward and won't stop until all remaining entries for the given number of combinations, have a positive reward @@ -384,7 +377,8 @@ def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, key = No self.__verbose_elimination(victim) # 4 - Keep on murdering - return self.check_wrapper_weaklings_killer(new_dataframe, n_combinations, key = key, kill_threshold = kill_threshold) + return self.check_wrapper_weaklings_killer(new_dataframe, n_combinations, + key = key, kill_threshold = kill_threshold) def check_wrapper(self, dataframe, n_combinations, kill = False, save_n_best = None): """ @@ -404,7 +398,7 @@ def get_str(comb, md): # 1 - Get all possible combinations of the keys combinations = self.get_combinations(n_combinations) - lines_to_print = [] + lines_to_print = [] siz = 0 # 2 - Now run for all possible combinations and parse the information hit_list = [] @@ -414,14 +408,13 @@ def get_str(comb, md): if md['skip']: continue reward = md['reward'] - ntotal = md['n_total'] if reward <= self.threshold_reward: # Don't bother with this point, kill it later hit_list.append(md) else: md['keys'] = tuple(sorted((combination.keys()))) info_dict.append(md) - comb_str, fail_str, f_rate = get_str(combination, md) + comb_str, fail_str, _ = get_str(combination, md) if len(comb_str) > siz: siz = len(comb_str) lines_to_print.append( (comb_str, fail_str, reward) ) diff --git a/n3fit/HyperScanner.py b/n3fit/HyperScanner.py index 55ec565afa..13b142efad 100644 --- a/n3fit/HyperScanner.py +++ b/n3fit/HyperScanner.py @@ -1,6 +1,5 @@ import hyperopt as hyper import numpy as np -import pdb from backends import MetaModel, MetaLayer @@ -21,7 +20,7 @@ class HyperScanner: def __init__(self, parameters): """ Takes as input a dictionary of parameters - and saves it + and saves it """ self.parameters = parameters self.keys = parameters.keys() @@ -41,14 +40,16 @@ def update_dict(self, newdict): if isinstance(value, dict): self.update_dict(value) - def _update_param(self, key, value, hyperopt = True, dkeys = []): + def _update_param(self, key, value, hyperopt = True, dkeys = None): + if dkeys is None: + dkeys = [] if key not in self.keys: raise Exception("Trying to update a parameter that was not declared in the dictionary: {0}. HyperScanner @ _update_param".format(key)) if hyperopt: self.hyper_keys.add(key) print("Adding the key {0} with the following value: {1}".format(key, value)) # Add possible extra keys - [self.dict_keys.add(nk) for nk in dkeys] + _ = [self.dict_keys.add(nk) for nk in dkeys] self.parameters[key] = value # Calling the functions below turn parameters of the dictionary into hyperparameter scans @@ -72,7 +73,7 @@ def stopping(self, min_epochs = 5e3, max_epochs = 30e3, min_patience = 0.10, max self._update_param(epochs_key, epochs) self._update_param(stopping_key, stopping_patience) - def optimizer(self, names = ['RMSprop'], min_lr = 0.0005, max_lr = 0.5): + def optimizer(self, names = None, min_lr = 0.0005, max_lr = 0.5): # But this might be a conditional thing and not all of the possible options be dictionaries """ This function look at the optimizers implemented in MetaModel and adds the learning rate to (only) @@ -80,6 +81,9 @@ def optimizer(self, names = ['RMSprop'], min_lr = 0.0005, max_lr = 0.5): - optimizer - learning rate """ + if names is None: + names = ['RMSprop'] + opt_key = 'optimizer' lr_key = 'learning_rate' @@ -101,7 +105,7 @@ def optimizer(self, names = ['RMSprop'], min_lr = 0.0005, max_lr = 0.5): args = optimizer_dict[opt_name][1] if 'lr' in args.keys(): choices.append( { - opt_key: opt_name, + opt_key: opt_name, lr_key: lr_choice, } ) else: @@ -109,7 +113,7 @@ def optimizer(self, names = ['RMSprop'], min_lr = 0.0005, max_lr = 0.5): opt_val = hyper.hp.choice(opt_key, choices) # Tell the HyperScanner this key might contain a dictionary to store it separately - self._update_param(opt_key, opt_val, dkeys = [opt_key]) + self._update_param(opt_key, opt_val, dkeys = [opt_key]) def positivity(self, min_multiplier = 1.01, max_multiplier = 1.3, min_initial=0.5, max_initial=100): """ @@ -132,8 +136,9 @@ def positivity(self, min_multiplier = 1.01, max_multiplier = 1.3, min_initial=0. ini_val = hyper.hp.loguniform(ini_key, min_initial, max_initial) self._update_param(ini_key, ini_val) - def NN_architecture(self, n_layers = [1, 2, 5], max_units = 50, min_units = 5, activations = ['sigmoid', 'tanh'], initializers = ['glorot_normal'], - layer_types = ['dense'], max_drop = 0.0): + def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, + activations = None, initializers = None, + layer_types = None, max_drop = 0.0): """ Uses all the given information to generate the parameters for the NN - nodes_per_layer @@ -142,12 +147,21 @@ def NN_architecture(self, n_layers = [1, 2, 5], max_units = 50, min_units = 5, a - layer_type - dropout """ + if activations is None: + activations = ['sigmoid', 'tanh'] + if initializer is None: + initializer = ['glorot_normal'] + if n_layers is None: + n_layers = [1, 2, 5] + if layer_types is None: + layer_types = ['dense'] # Do we want to fix or generate dinamically the units? for now let's fix # there will be time for more sofisticated functions act_key = 'activation_per_layer' - nodes_key = 'nodes_per_layer' # the information contained in the variable is indeed the number of nodes per layer e.g. [5,10,30] - # but the information the user will be interested in is how many layers are there... + nodes_key = 'nodes_per_layer' + # the information contained in the variable is indeed the number of nodes per layer e.g. [5,10,30] + # but the information the user will be interested in is how many layers are there... # Generate the possible activation choices act_choices = [] @@ -162,7 +176,7 @@ def NN_architecture(self, n_layers = [1, 2, 5], max_units = 50, min_units = 5, a nodes_choices = [] for n in n_layers: units = [] - for i in range(n): + for i in range(n): # We can even play games as lowering the maximum as the number of layers grows units_label = 'nl{1}:-{0}/{1}'.format(i, n) units.append(hyper.hp.quniform(units_label, min_units, max_units, 5)) diff --git a/n3fit/plotting.py b/n3fit/plotting.py index 6c5d667f21..9250b36583 100755 --- a/n3fit/plotting.py +++ b/n3fit/plotting.py @@ -4,20 +4,17 @@ Script to plot the hyperopt scans """ +import os +import json +import warnings +import re + import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns -import itertools -import os -import json -import warnings warnings.simplefilter(action = 'ignore', category = FutureWarning) - -from pdb import set_trace - -import re regex_op = re.compile(r'[^\w^\.]+') regex_not_op = re.compile(r'[\w\.]+') @@ -90,7 +87,7 @@ def optimizer_parse(trial, dict_out): lr = None ini = trial['misc']['space_vals'][keywords['initializer']] dropout_rate = trial['misc']['space_vals'][keywords['dropout']] - + dict_out[keywords['optimizer']] = name dict_out[keywords['lr']] = lr @@ -159,7 +156,7 @@ def stat_parser(trial, dict_out, threshold = 1e3, val_f = 0.5, **kwargs): """ Parser the stats information of the trial, the losses, the failures, etc """ - test_f = 1.0 - val_f + test_f = 1.0 - val_f validation_loss = trial['result'][keywords['vl']] testing_loss = trial['result'][keywords['tl']] loss = validation_loss*val_f + testing_loss*test_f @@ -182,7 +179,7 @@ def stat_parser(trial, dict_out, threshold = 1e3, val_f = 0.5, **kwargs): dict_out[keywords['good']] = ok dict_out[keywords['loss']] = loss dict_out[keywords['vl']] = validation_loss - dict_out[keywords['tl']] = testing_loss + dict_out[keywords['tl']] = testing_loss def filter_by_string(data_dict, filter_string): @@ -207,7 +204,8 @@ def filter_by_string(data_dict, filter_string): operator = regex_op.findall(filter_string)[0] - if operator == "=": operator = "==" + if operator == "=": + operator = "==" operators = ["!=", "==", ">", "<"] if operator not in operators: raise Exception("Filter string not valid, operator not recognized {0}".format(filter_string)) @@ -221,7 +219,7 @@ def filter_by_string(data_dict, filter_string): return eval(check_str.format(val_check, operator, filter_val)) except: return False - + # General parsing def trial_parser(trial, filter_me = None, **kwargs): @@ -255,7 +253,7 @@ def filter_trials(input_trials, **kwargs): """ Applies the search algorithm to all the different trials to find the true best model """ - # First step is to fill in two different + # First step is to fill in two different failed_trials = [] ok_trials = [] @@ -319,7 +317,9 @@ def plot_scans(df, best_df, outfile): ordering_true, best_x = order_axis(df, best_df, key=key) ax = sns.violinplot(x=key, y=loss_k, data=df, ax=ax, palette="Set2",cut=0.0, order= ordering_true) ax = sns.stripplot(x=key, y=loss_k, data=df, ax=ax, color="gray", order=ordering_true, alpha=0.4) - elif mode == 4: # The nodes per layer is a special case because we want to know to which total number of layers they correspond + elif mode == 4: + # The nodes per layer is a special case because we want to know to + # which total number of layers they correspond ordering_true, _ = order_axis(df, best_df, key=keywords['nl']) best_x = best_df.get(key) for l in ordering_true: @@ -348,7 +348,7 @@ def draw_histogram(dataframe, key, plotable = 'loss', columns = 2): plt.show() -def print_stats(dataframe, +def print_stats(dataframe, stats_keys = ['optimizer', 'nl', 'initializer', 'activation'], n_combinations = 2, verbose = True, return_early = False, how_many_to_kill = 2, remove_by_key = False, save_n_best = 10, @@ -361,7 +361,7 @@ def print_stats(dataframe, # Ok, at this point I have a dataframe with all the content from the json. # if filters or changes on the threshold for the loss are active, the dataframe would # already be filtered and all information ready - + def read_key(key): if key in keywords.keys(): key_name = keywords[key] @@ -391,10 +391,10 @@ def get_slice(full_dataframe, key, value): keys_lv_0 = kclean(['optimizer', 'number_of_layers']) keys_lv_1 = kclean(['epochs', 'stopping_patience', 'activation']) keys_lv_2 = kclean(['p_mul', 'p_ini', 'learning_rate']) - + keys_for_removal = keys_lv_0 + keys_lv_1 - key_info_full = gen_key_info(dataframe, keys_for_removal) + key_info_full = gen_key_info(dataframe, keys_for_removal) hypalg = HyperAlgorithm(key_info = key_info_full) trim_dataframe = hypalg.remove_failing(dataframe) key_info_trim = gen_key_info(trim_dataframe, keys_for_removal) @@ -444,12 +444,14 @@ def get_slice(full_dataframe, key, value): key_info_lv1 = gen_key_info(item_1, keys_lv_1) falg = HyperAlgorithm(key_info = key_info_lv1) n1 = len(key_info_lv1) - trim_slice = falg.remove_failing(item_1, n_combinations = n1, fail_threshold = 'median', verbose = False) + trim_slice = falg.remove_failing(item_1, n_combinations = n1, + fail_threshold = 'median', verbose = False) # Now do the same with the level 2, remove the worst half key_info_lv2 = gen_key_info(trim_slice, keys_lv_2) falg = HyperAlgorithm(key_info = key_info_lv2) n2 = len(key_info_lv2) - final_slice = falg.remove_failing(trim_slice, n_combinations = n2, fail_threshold = 'median', verbose = False) + final_slice = falg.remove_failing(trim_slice, n_combinations = n2, + fail_threshold = 'median', verbose = False) # Now print the ranges print_ranges = keys_lv_1 + keys_lv_2 print(""" @@ -469,7 +471,7 @@ def get_slice(full_dataframe, key, value): # Now, for each key we need to get all the possible options key_info = gen_key_info(dataframe) - # Now that we have all the options we need to go in priority order + # Now that we have all the options we need to go in priority order @@ -496,7 +498,7 @@ def get_slice(full_dataframe, key, value): print(key_name) trim_slice = hypalg.remove_failing(trim_slice, key = key_name, fail_threshold = 0.0) hypalg.print_ranges(trim_slice, dataframe_original = f_slice) - + set_trace() @@ -639,13 +641,13 @@ def generate_scan_report_from_file(replica_path, json_name = "tries.json", inclu if histogram: draw_histogram(dataframe, histogram) - + # Plot the plot fileout = f'{replica_path}/scan.pdf' plot_scans(dataframe, best_trial, fileout) print("Plot saved at {0}".format(fileout)) - + if __name__ == "__main__": from argparse import ArgumentParser From 4476bb57d29dd89db155dfef8c6b17f3a2160eed Mon Sep 17 00:00:00 2001 From: juacrumar Date: Mon, 20 May 2019 22:45:58 +0200 Subject: [PATCH 390/429] bugfix --- n3fit/HyperScanner.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/n3fit/HyperScanner.py b/n3fit/HyperScanner.py index 13b142efad..fac1692fda 100644 --- a/n3fit/HyperScanner.py +++ b/n3fit/HyperScanner.py @@ -149,8 +149,8 @@ def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, """ if activations is None: activations = ['sigmoid', 'tanh'] - if initializer is None: - initializer = ['glorot_normal'] + if initializers is None: + initializers = ['glorot_normal'] if n_layers is None: n_layers = [1, 2, 5] if layer_types is None: From cd831a4ccde7c02c518318fd6faa8d1ab0c9fcdd Mon Sep 17 00:00:00 2001 From: juacrumar Date: Tue, 21 May 2019 10:39:55 +0200 Subject: [PATCH 391/429] passed black to the code --- n3fit/HyperAlgorithm.py | 215 ++++++------ n3fit/HyperScanner.py | 86 ++--- n3fit/ModelTrainer.py | 289 ++++++++-------- n3fit/Statistics.py | 75 +++-- n3fit/backends/keras_backend/MetaLayer.py | 63 ++-- n3fit/backends/keras_backend/MetaModel.py | 22 +- n3fit/backends/keras_backend/base_layers.py | 3 +- n3fit/backends/keras_backend/debug_mode.py | 6 +- n3fit/backends/keras_backend/losses.py | 16 +- n3fit/backends/keras_backend/operations.py | 25 +- n3fit/constrains.py | 94 +++--- n3fit/create_testset.py | 29 +- n3fit/filetrials.py | 8 +- n3fit/fit.py | 151 +++++---- n3fit/layers/DIS.py | 9 +- n3fit/layers/DY.py | 28 +- n3fit/layers/Integration.py | 80 +++-- n3fit/layers/Mask.py | 10 +- n3fit/layers/Observable.py | 5 +- n3fit/layers/Preprocessing.py | 84 ++--- n3fit/model_gen.py | 148 ++++---- n3fit/n3fit.py | 103 +++--- n3fit/plotting.py | 355 ++++++++++---------- n3fit/reader.py | 93 ++--- 24 files changed, 1033 insertions(+), 964 deletions(-) diff --git a/n3fit/HyperAlgorithm.py b/n3fit/HyperAlgorithm.py index 47db4062a4..df593c05d5 100644 --- a/n3fit/HyperAlgorithm.py +++ b/n3fit/HyperAlgorithm.py @@ -1,10 +1,19 @@ import itertools import numpy as np -class HyperAlgorithm(): - def __init__(self, key_info, verbose = True, k_good = 'good', k_loss = 'loss', - threshold_reward = 0.0, fail_threshold = 75, how_many_to_kill = 2, remove_by_key = False): +class HyperAlgorithm: + def __init__( + self, + key_info, + verbose=True, + k_good="good", + k_loss="loss", + threshold_reward=0.0, + fail_threshold=75, + how_many_to_kill=2, + remove_by_key=False, + ): """ key_info: dictionary of {'keyname' : [list,of,possible,values]} """ @@ -26,20 +35,20 @@ def __init__(self, key_info, verbose = True, k_good = 'good', k_loss = 'loss', # Some variables are not discrete, find them update_dict = {} for key, values in key_info.items(): - try: # Remove nan if there are + try: # Remove nan if there are np_values = np.array(values) np_values = np_values[~np.isnan(np_values)] except: np_values = values l = len(np_values) - if l > 10: # break it into five chuncks + if l > 10: # break it into five chuncks np_values.sort() new_vals = [] - step = int(l/5) - for i in range(0, l-step, step): + step = int(l / 5) + for i in range(0, l - step, step): ini = np_values[i] - fin = np_values[i+step] - new_vals.append( (ini, fin) ) + fin = np_values[i + step] + new_vals.append((ini, fin)) update_dict[key] = new_vals key_info.update(update_dict) @@ -47,32 +56,31 @@ def __init__(self, key_info, verbose = True, k_good = 'good', k_loss = 'loss', self.biggest_total = 1 self.perfect_reward = 100.0 - def __dataframe_killer(self, dataframe, hit_list): """ Remove from the dataframe all entries included in the hit_list """ if not hit_list: return dataframe - indices_to_remove = hit_list[0]['slice'].index + indices_to_remove = hit_list[0]["slice"].index for victim in hit_list[1:]: - indices_to_remove = indices_to_remove.append(victim['slice'].index) + indices_to_remove = indices_to_remove.append(victim["slice"].index) indices_to_drop = indices_to_remove.drop_duplicates() - return dataframe.drop( indices_to_drop ) + return dataframe.drop(indices_to_drop) - def __verbose_elimination(self, md, printout = True): + def __verbose_elimination(self, md, printout=True): """ Show a log of everything that is being eliminated if there is only one item in the dictionary, it also removes it from the combination list just to avoid looking at useless combinations """ - combination = md['combination'] + combination = md["combination"] str_list = [] for key, item in combination.items(): - str_list.append( "{0}={1}".format(key, item) ) - reward = md['reward'] + str_list.append("{0}={1}".format(key, item)) + reward = md["reward"] if printout: - self.__print("Removing: {0}\n reward: {1:.5f}".format( '\n '.join(str_list), reward)) + self.__print("Removing: {0}\n reward: {1:.5f}".format("\n ".join(str_list), reward)) def __print(self, string, **kwargs): if self.verbose: @@ -80,25 +88,25 @@ def __print(self, string, **kwargs): def __compute_reward(self, md): """ Computes a reward function from the information we have """ - frate = md['f_rate'] - ngood = md['n_good'] - ntotal = md['n_total'] + frate = md["f_rate"] + ngood = md["n_good"] + ntotal = md["n_total"] # If the fail rate is greater than 75%, kill it if frate > self.fail_threshold: return self.failing_reward - dstd = md['median'] - md['best_loss'] - rate_good = ngood/ntotal*100.0 + dstd = md["median"] - md["best_loss"] + rate_good = ngood / ntotal * 100.0 # The reward can be negative - reward = (50.0 - frate)/100.0 - reward -= dstd/rate_good # the less spread the better + reward = (50.0 - frate) / 100.0 + reward -= dstd / rate_good # the less spread the better # Finally scale it with the total number of points - weight_points = 1.0 + ntotal/self.biggest_total + weight_points = 1.0 + ntotal / self.biggest_total reward *= weight_points return reward - def print_ranges(self, dataframe, keys = None, dataframe_original = None): + def print_ranges(self, dataframe, keys=None, dataframe_original=None): """ Receives a dataframe and a number of keys and prints the surviving keys and ranges If dataframe_original is given, will also print (for discrete values) @@ -110,7 +118,7 @@ def print_ranges(self, dataframe, keys = None, dataframe_original = None): # Now compute all rewards key_rewards = {} for key in keys: - combinations = self.get_combinations(1, single_key = key) + combinations = self.get_combinations(1, single_key=key) key_rewards[key] = [] for combination in combinations: md = self.study_combination(dataframe, combination) @@ -126,11 +134,11 @@ def print_ranges(self, dataframe, keys = None, dataframe_original = None): for key, results in key_rewards.items(): print("For key: {0}".format(key)) list_str = [] - results.sort( key = lambda i: -i['reward'] ) + results.sort(key=lambda i: -i["reward"]) for md in results: - val = md['combination'][key] - reward = md['reward'] - list_str.append( " Reward: {1:.3f}: {0} ".format(val, reward) ) + val = md["combination"][key] + reward = md["reward"] + list_str.append(" Reward: {1:.3f}: {0} ".format(val, reward)) print("\n".join(list_str)) return @@ -147,44 +155,43 @@ def print_ranges(self, dataframe, keys = None, dataframe_original = None): news = df_slice.value_counts() string = " values: " for val in values: - string += "{0} ({1}/{2} {3:2.0f}%), ".format(val, - news[val], originals[val], news[val]/originals[val]*100.0) + string += "{0} ({1}/{2} {3:2.0f}%), ".format( + val, news[val], originals[val], news[val] / originals[val] * 100.0 + ) string = string[:-2] else: string = " values: {0}".format(values) - self.__print("Key: {0}\n > {1}".format(key, string)) - def __process_slice(self, df_slice): """ Function to process a slice into a dictionary with interesting stats If the slice is None it means the combination does not apply """ if df_slice is None: - md = {'skip' : True} + md = {"skip": True} return md else: - md = {'skip' : False} - - good = df_slice[ df_slice[ self.k_good ] ] - md['n_total'] = len(df_slice) - md['n_good'] = len(good) - if md['n_good'] > self.biggest_total: - self.biggest_total = md['n_good'] - md['n_failed'] = md['n_total'] - md['n_good'] - if md['n_total'] == 0: - md['skip'] = True + md = {"skip": False} + + good = df_slice[df_slice[self.k_good]] + md["n_total"] = len(df_slice) + md["n_good"] = len(good) + if md["n_good"] > self.biggest_total: + self.biggest_total = md["n_good"] + md["n_failed"] = md["n_total"] - md["n_good"] + if md["n_total"] == 0: + md["skip"] = True return md else: - f_rate = md['n_failed']/md['n_total']*100 - md['f_rate'] = f_rate + f_rate = md["n_failed"] / md["n_total"] * 100 + md["f_rate"] = f_rate # Compute for each the best loss (among the good ones) and the std dev - good_losses = good[ self.k_loss ] - md['best_loss'] = good_losses.min() - md['std'] = good_losses.std() - md['median'] = good_losses.median() - md['reward'] = self.__compute_reward(md) + good_losses = good[self.k_loss] + md["best_loss"] = good_losses.min() + md["std"] = good_losses.std() + md["median"] = good_losses.median() + md["reward"] = self.__compute_reward(md) return md def get_slice(self, dataframe, keys_info): @@ -201,13 +208,13 @@ def get_slice(self, dataframe, keys_info): if key in self.continuous.keys(): minim = value[0] maxim = value[1] - df_slice = df_slice[ key_column >= minim ] - df_slice = df_slice[ key_column <= maxim ] + df_slice = df_slice[key_column >= minim] + df_slice = df_slice[key_column <= maxim] else: - df_slice = df_slice[ key_column == value ] + df_slice = df_slice[key_column == value] return df_slice - def get_combinations(self, n, key_info = None, single_key = None): + def get_combinations(self, n, key_info=None, single_key=None): """ Get all combinations of n elements for the keys and values given in the dictionary key_info: { 'key' : [possible values] }, if key_info is None, the dictionary used to initialize the class will be used @@ -225,14 +232,14 @@ def get_combinations(self, n, key_info = None, single_key = None): if single_key: single_options = key_info[single_key] - key_info = {single_key : single_options} + key_info = {single_key: single_options} key_combinations = itertools.combinations(key_info, n) all_combinations = [] for keys in key_combinations: - list_of_items = [ key_info[key] for key in keys ] + list_of_items = [key_info[key] for key in keys] # list_of_items is a list of possible values: [ (val1-1, val1-2, val1-3...), (val2-1, val2-2...) ... ] - items_combinations = itertools.product( *list_of_items ) + items_combinations = itertools.product(*list_of_items) for values in items_combinations: nd = dict(zip(keys, values)) all_combinations.append(nd) @@ -247,8 +254,8 @@ def study_combination(self, dataframe, combination): df_slice = self.get_slice(dataframe, combination) # If the combination does not applies (i.e., NaN) just skip it md = self.__process_slice(df_slice) - md['slice'] = df_slice - md['combination'] = combination + md["slice"] = df_slice + md["combination"] = combination return md def __sort_to_survive(self, info_dict, how_many_to_save): @@ -256,21 +263,21 @@ def __sort_to_survive(self, info_dict, how_many_to_save): Receives a list of dictionaries with an entry called reward, returns the 'n' best """ - sorted_by_reward = sorted(info_dict, key = lambda i: i['reward']) + sorted_by_reward = sorted(info_dict, key=lambda i: i["reward"]) sorted_by_reward.reverse() # Everyone with perfect reward is saved save_list = [] for i in sorted_by_reward: if how_many_to_save == 0: break - if i['reward'] == self.perfect_reward: + if i["reward"] == self.perfect_reward: save_list.append(i) else: save_list.append(i) how_many_to_save -= 1 return save_list - def __sort_to_kill(self, info_dict, by_key = False, how_many_to_kill = None): + def __sort_to_kill(self, info_dict, by_key=False, how_many_to_kill=None): """ Receives a list of dictionaries with an entry called reward, returns the 'n' worst ones. @@ -281,7 +288,7 @@ def __sort_to_kill(self, info_dict, by_key = False, how_many_to_kill = None): if by_key: list_by_key = {} for md in info_dict: - keys = md['keys'] + keys = md["keys"] if keys in list_by_key.keys(): list_by_key[keys].append(md) else: @@ -290,48 +297,47 @@ def __sort_to_kill(self, info_dict, by_key = False, how_many_to_kill = None): for _, items in list_by_key.items(): hit_list += self.__sort_to_kill(items) else: - sorted_by_reward = sorted(info_dict, key = lambda i: i['reward']) + sorted_by_reward = sorted(info_dict, key=lambda i: i["reward"]) hit_list = sorted_by_reward[:how_many_to_kill] return hit_list - def remove_failing(self, dataframe, n_combinations = 1, key = None, fail_threshold = None, verbose = True): + def remove_failing(self, dataframe, n_combinations=1, key=None, fail_threshold=None, verbose=True): """ Remove entries with failing reward from the dataframe """ if fail_threshold is None: set_fail_threshold = self.failing_reward - elif fail_threshold == 'median': + elif fail_threshold == "median": set_fail_threshold = 100 else: set_fail_threshold = fail_threshold - combinations = self.get_combinations(n_combinations, single_key = key) + combinations = self.get_combinations(n_combinations, single_key=key) hit_list = [] all_combinations = [] for combination in combinations: md = self.study_combination(dataframe, combination) - if md['skip']: + if md["skip"]: continue - reward = md['reward'] - if fail_threshold == 'median': + reward = md["reward"] + if fail_threshold == "median": all_combinations.append(md) elif reward <= set_fail_threshold: hit_list.append(md) - if fail_threshold == 'median': - sorted_by_reward = sorted(all_combinations, key = lambda i: i['reward']) + if fail_threshold == "median": + sorted_by_reward = sorted(all_combinations, key=lambda i: i["reward"]) # do like thanos - half = int(len(sorted_by_reward)/2) + half = int(len(sorted_by_reward) / 2) hit_list = sorted_by_reward[:half] new_dataframe = self.__dataframe_killer(dataframe, hit_list) if verbose: for i in hit_list: - print("Eliminated {0} with reward: {1}".format(i['combination'], i['reward'])) + print("Eliminated {0} with reward: {1}".format(i["combination"], i["reward"])) return new_dataframe - def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, - key = None, verbose = False, kill_threshold = None): + def check_wrapper_weaklings_killer(self, dataframe, n_combinations=1, key=None, verbose=False, kill_threshold=None): """ It starts killing the entry with the worst reward and won't stop until all remaining entries for the given number of combinations, have a positive reward @@ -339,32 +345,32 @@ def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, if kill_threshold is None: set_kill_threshold = self.threshold_reward elif kill_threshold is "median": - set_kill_threshold = 100 # ensures that someone dies here + set_kill_threshold = 100 # ensures that someone dies here else: set_kill_threshold = kill_threshold # 1 - Get combinations - combinations = self.get_combinations(n_combinations, single_key = key) + combinations = self.get_combinations(n_combinations, single_key=key) # 2 - Run through all possible combinations and kill the weakest one worst_reward = 1e5 victim = None all_combinations = [] for combination in combinations: md = self.study_combination(dataframe, combination) - if md['skip']: + if md["skip"]: continue all_combinations.append(md) - reward = md['reward'] + reward = md["reward"] if reward < worst_reward and reward <= set_kill_threshold: victim = md worst_reward = reward if verbose: - all_combinations.sort( key = lambda i: i['reward'] ) + all_combinations.sort(key=lambda i: i["reward"]) for i in all_combinations: - print("{0}, {1}".format(i['reward'], i['combination'])) + print("{0}, {1}".format(i["reward"], i["combination"])) - if kill_threshold == "median": # Set the median which will be necessary for the rest of the iterations - rewards = [i['reward'] for i in all_combinations] + if kill_threshold == "median": # Set the median which will be necessary for the rest of the iterations + rewards = [i["reward"] for i in all_combinations] kill_threshold = np.median(rewards) print(" > > Killing everything with reward below {0}".format(kill_threshold)) @@ -377,20 +383,21 @@ def check_wrapper_weaklings_killer(self, dataframe, n_combinations = 1, self.__verbose_elimination(victim) # 4 - Keep on murdering - return self.check_wrapper_weaklings_killer(new_dataframe, n_combinations, - key = key, kill_threshold = kill_threshold) + return self.check_wrapper_weaklings_killer( + new_dataframe, n_combinations, key=key, kill_threshold=kill_threshold + ) - def check_wrapper(self, dataframe, n_combinations, kill = False, save_n_best = None): + def check_wrapper(self, dataframe, n_combinations, kill=False, save_n_best=None): """ Input a dataframe and the number of possible combinations and prints out nice statistics """ def get_str(comb, md): - key_strs = ["{0}={1}".format(key, item) for key,item in comb.items()] + key_strs = ["{0}={1}".format(key, item) for key, item in comb.items()] comb_str = ", ".join(key_strs) - f_rate = md['f_rate'] - reward = md['reward'] - n_trials = md['n_total'] + f_rate = md["f_rate"] + reward = md["reward"] + n_trials = md["n_total"] failure_str = "Fail: {0:2.3f}% Reward: {2:0.3f} ({1:3d} trials)".format(f_rate, n_trials, reward) return comb_str, failure_str, f_rate @@ -405,24 +412,24 @@ def get_str(comb, md): info_dict = [] for combination in combinations: md = self.study_combination(dataframe, combination) - if md['skip']: + if md["skip"]: continue - reward = md['reward'] + reward = md["reward"] if reward <= self.threshold_reward: # Don't bother with this point, kill it later hit_list.append(md) else: - md['keys'] = tuple(sorted((combination.keys()))) + md["keys"] = tuple(sorted((combination.keys()))) info_dict.append(md) comb_str, fail_str, _ = get_str(combination, md) if len(comb_str) > siz: siz = len(comb_str) - lines_to_print.append( (comb_str, fail_str, reward) ) + lines_to_print.append((comb_str, fail_str, reward)) # 3 - If kill == true, remove the slices in the hit list if kill: # 3.1 - Sort the items by reward and get the 'how_many_to_kill' with the smallest reward - hit_list += self.__sort_to_kill(info_dict, by_key = self.remove_by_key) + hit_list += self.__sort_to_kill(info_dict, by_key=self.remove_by_key) print("Removing the worst combinations:") new_dataframe = self.__dataframe_killer(dataframe, hit_list) else: @@ -435,20 +442,20 @@ def get_str(comb, md): indices_to_get = None for survivor in survivors_list: if indices_to_get is not None: - indices_to_get = indices_to_get.append(survivor['slice'].index) + indices_to_get = indices_to_get.append(survivor["slice"].index) else: - indices_to_get = survivor['slice'].index + indices_to_get = survivor["slice"].index indices_to_get = indices_to_get.drop_duplicates() new_dataframe = dataframe.ix[indices_to_get] # 5 - Now print all lines, making sure the align nicely print("\n") - lines_to_print.sort( key = lambda x: x[-1] ) + lines_to_print.sort(key=lambda x: x[-1]) # If saving only the best X, print only those if save_n_best: lines_to_print = lines_to_print[-save_n_best:] base_line = "{0:" + str(siz) + "s} {1}" for line in lines_to_print: - self.__print( base_line.format( line[0], line[1] ) ) + self.__print(base_line.format(line[0], line[1])) return new_dataframe diff --git a/n3fit/HyperScanner.py b/n3fit/HyperScanner.py index fac1692fda..a888e6f475 100644 --- a/n3fit/HyperScanner.py +++ b/n3fit/HyperScanner.py @@ -3,6 +3,7 @@ from backends import MetaModel, MetaLayer + class HyperScanner: """ The HyperScanner generates a dictionary of parameters for scanning @@ -40,11 +41,15 @@ def update_dict(self, newdict): if isinstance(value, dict): self.update_dict(value) - def _update_param(self, key, value, hyperopt = True, dkeys = None): + def _update_param(self, key, value, hyperopt=True, dkeys=None): if dkeys is None: dkeys = [] if key not in self.keys: - raise Exception("Trying to update a parameter that was not declared in the dictionary: {0}. HyperScanner @ _update_param".format(key)) + raise Exception( + "Trying to update a parameter that was not declared in the dictionary: {0}. HyperScanner @ _update_param".format( + key + ) + ) if hyperopt: self.hyper_keys.add(key) print("Adding the key {0} with the following value: {1}".format(key, value)) @@ -53,27 +58,26 @@ def _update_param(self, key, value, hyperopt = True, dkeys = None): self.parameters[key] = value # Calling the functions below turn parameters of the dictionary into hyperparameter scans - def stopping(self, min_epochs = 5e3, max_epochs = 30e3, min_patience = 0.10, max_patience = 0.3): + def stopping(self, min_epochs=5e3, max_epochs=30e3, min_patience=0.10, max_patience=0.3): """ Modifies the following entries of the parameter dictionary: - epochs - stopping_patience """ - epochs_key = 'epochs' - stopping_key = 'stopping_patience' + epochs_key = "epochs" + stopping_key = "stopping_patience" - epoch_step = (max_epochs - min_epochs)/4 + epoch_step = (max_epochs - min_epochs) / 4 if min_epochs < epoch_step: epoch_step = min_epochs - epochs = hyper.hp.quniform(epochs_key, min_epochs, max_epochs, min_epochs) - stopping_patience = hyper.hp.quniform(stopping_key, min_patience, max_patience, 0.05) + stopping_patience = hyper.hp.quniform(stopping_key, min_patience, max_patience, 0.05) self._update_param(epochs_key, epochs) self._update_param(stopping_key, stopping_patience) - def optimizer(self, names = None, min_lr = 0.0005, max_lr = 0.5): + def optimizer(self, names=None, min_lr=0.0005, max_lr=0.5): # But this might be a conditional thing and not all of the possible options be dictionaries """ This function look at the optimizers implemented in MetaModel and adds the learning rate to (only) @@ -82,10 +86,10 @@ def optimizer(self, names = None, min_lr = 0.0005, max_lr = 0.5): - learning rate """ if names is None: - names = ['RMSprop'] + names = ["RMSprop"] - opt_key = 'optimizer' - lr_key = 'learning_rate' + opt_key = "optimizer" + lr_key = "learning_rate" optimizer_dict = MetaModel.optimizers choices = [] @@ -94,7 +98,7 @@ def optimizer(self, names = None, min_lr = 0.0005, max_lr = 0.5): max_lr_exp = np.log(max_lr) lr_choice = hyper.hp.loguniform(lr_key, min_lr_exp, max_lr_exp) - if names == 'ALL': + if names == "ALL": names = optimizer_dict.keys() for opt_name in names: @@ -103,29 +107,26 @@ def optimizer(self, names = None, min_lr = 0.0005, max_lr = 0.5): raise Exception("HyperScanner: Optimizer {0} not implemented in MetaModel.py".format(opt_name)) args = optimizer_dict[opt_name][1] - if 'lr' in args.keys(): - choices.append( { - opt_key: opt_name, - lr_key: lr_choice, - } ) + if "lr" in args.keys(): + choices.append({opt_key: opt_name, lr_key: lr_choice}) else: choices.append(opt_name) opt_val = hyper.hp.choice(opt_key, choices) # Tell the HyperScanner this key might contain a dictionary to store it separately - self._update_param(opt_key, opt_val, dkeys = [opt_key]) + self._update_param(opt_key, opt_val, dkeys=[opt_key]) - def positivity(self, min_multiplier = 1.01, max_multiplier = 1.3, min_initial=0.5, max_initial=100): + def positivity(self, min_multiplier=1.01, max_multiplier=1.3, min_initial=0.5, max_initial=100): """ Modifies - pos_multiplier - pos_initial """ - mul_key = 'pos_multiplier' + mul_key = "pos_multiplier" if not min_initial and not max_initial: ini_key = None else: - ini_key = 'pos_initial' + ini_key = "pos_initial" mul_val = hyper.hp.uniform(mul_key, min_multiplier, max_multiplier) self._update_param(mul_key, mul_val) @@ -136,9 +137,16 @@ def positivity(self, min_multiplier = 1.01, max_multiplier = 1.3, min_initial=0. ini_val = hyper.hp.loguniform(ini_key, min_initial, max_initial) self._update_param(ini_key, ini_val) - def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, - activations = None, initializers = None, - layer_types = None, max_drop = 0.0): + def NN_architecture( + self, + n_layers=None, + max_units=50, + min_units=5, + activations=None, + initializers=None, + layer_types=None, + max_drop=0.0, + ): """ Uses all the given information to generate the parameters for the NN - nodes_per_layer @@ -148,18 +156,18 @@ def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, - dropout """ if activations is None: - activations = ['sigmoid', 'tanh'] + activations = ["sigmoid", "tanh"] if initializers is None: - initializers = ['glorot_normal'] + initializers = ["glorot_normal"] if n_layers is None: n_layers = [1, 2, 5] if layer_types is None: - layer_types = ['dense'] + layer_types = ["dense"] # Do we want to fix or generate dinamically the units? for now let's fix # there will be time for more sofisticated functions - act_key = 'activation_per_layer' - nodes_key = 'nodes_per_layer' + act_key = "activation_per_layer" + nodes_key = "nodes_per_layer" # the information contained in the variable is indeed the number of nodes per layer e.g. [5,10,30] # but the information the user will be interested in is how many layers are there... @@ -167,18 +175,17 @@ def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, act_choices = [] for afun in activations: # Just generate an array with as many copies of the str as the maximum number of layers - cop = [afun]*n_layers[-1] + cop = [afun] * n_layers[-1] # And append a linear at the end - cop.append('linear') + cop.append("linear") act_choices.append(cop) - nodes_choices = [] for n in n_layers: units = [] for i in range(n): # We can even play games as lowering the maximum as the number of layers grows - units_label = 'nl{1}:-{0}/{1}'.format(i, n) + units_label = "nl{1}:-{0}/{1}".format(i, n) units.append(hyper.hp.quniform(units_label, min_units, max_units, 5)) # And then the last one is a dense with 8 units @@ -188,12 +195,11 @@ def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, act_functions = hyper.hp.choice(act_key, act_choices) nodes = hyper.hp.choice(nodes_key, nodes_choices) - # Now let's select the initializers looking at the ones implemented in MetaLayer - ini_key = 'initializer' + ini_key = "initializer" imp_inits = MetaLayer.initializers imp_init_names = imp_inits.keys() - if initializers == 'ALL': + if initializers == "ALL": initializers = imp_init_names ini_choices = [] @@ -208,14 +214,14 @@ def NN_architecture(self, n_layers = None, max_units = 50, min_units = 5, # Finally select the layer types if layer_types: - layer_key = 'layer_type' + layer_key = "layer_type" layer_choices = hyper.hp.choice(layer_key, layer_types) self._update_param(layer_key, layer_choices) # And add the dropout parameter - drop_key = 'dropout' + drop_key = "dropout" n_drops = 3 - drop_step = max_drop/n_drops + drop_step = max_drop / n_drops drop_val = hyper.hp.quniform(drop_key, 0.0, max_drop, drop_step) self._update_param(act_key, act_functions) diff --git a/n3fit/ModelTrainer.py b/n3fit/ModelTrainer.py index 96b327b1df..3fd4deeb84 100644 --- a/n3fit/ModelTrainer.py +++ b/n3fit/ModelTrainer.py @@ -17,15 +17,16 @@ from backends import MetaModel, clear_backend_state # If an experiment matches this name, it will not be included int he training -TESTNAME = 'TEST' +TESTNAME = "TEST" # Weights for the hyperopt cost function test_multiplier = 0.5 validation_multiplier = 0.5 + class ModelTrainer: - def __init__(self, exp_info, pos_info, flavinfo, nnseed, - pass_status = 'ok', failed_status = 'fail', - log = None, debug = False): + def __init__( + self, exp_info, pos_info, flavinfo, nnseed, pass_status="ok", failed_status="fail", log=None, debug=False + ): """ - exp_info: list of dictionaries containing experiments - pos_info: list of dictionaries containing positivity sets @@ -63,33 +64,14 @@ def __init__(self, exp_info, pos_info, flavinfo, nnseed, # Initialize the dictionaries which contain all fitting information self.input_list = [] self.ndata_dict = {} - self.training = { - 'output' : [], - 'expdata' : [], - 'losses' : [], - 'ndata': 0, - 'model' : None, - 'posdatasets' : [] - } - self.validation = { - 'output' : [], - 'expdata' : [], - 'losses' : [], - 'ndata': 0, - 'model' : None, - } - self.experimental = { - 'output' : [], - 'expdata' : [], - 'losses' : [], - 'ndata': 0, - 'model' : None, - } + self.training = {"output": [], "expdata": [], "losses": [], "ndata": 0, "model": None, "posdatasets": []} + self.validation = {"output": [], "expdata": [], "losses": [], "ndata": 0, "model": None} + self.experimental = {"output": [], "expdata": [], "losses": [], "ndata": 0, "model": None} self.test_dict = None self._fill_the_dictionaries() - if self.validation['ndata'] == 0: + if self.validation["ndata"] == 0: self.no_validation = True new_dict = {} for key, item in self.ndata_dict.items(): @@ -97,7 +79,7 @@ def __init__(self, exp_info, pos_info, flavinfo, nnseed, continue new_dict[key + "_vl"] = item self.ndata_dict.update(new_dict) - self.validation['expdata'] = self.training['expdata'] + self.validation["expdata"] = self.training["expdata"] else: self.no_validation = False @@ -105,7 +87,7 @@ def set_model_file(self, model_file): """ If a model_file is set the training model will try to get the weights form here """ self.model_file = model_file - def set_hyperopt(self, on, keys = None): + def set_hyperopt(self, on, keys=None): """ Set hyperopt options on and off (mostly suppresses some printing) """ if keys is None: keys = [] @@ -135,37 +117,37 @@ def _fill_the_dictionaries(self): - number of experimental points (ndata) """ for exp_dict in self.exp_info: - if exp_dict['name'] == TESTNAME: + if exp_dict["name"] == TESTNAME: self.test_dict = { - 'output' : [], - 'expdata' : exp_dict['expdata_true'], - 'losses' : [], - 'ndata' : exp_dict['ndata'] + exp_dict['ndata_vl'], - 'model' : None, - } + "output": [], + "expdata": exp_dict["expdata_true"], + "losses": [], + "ndata": exp_dict["ndata"] + exp_dict["ndata_vl"], + "model": None, + } continue - self.training['expdata'].append(exp_dict['expdata']) - self.validation['expdata'].append(exp_dict['expdata_vl']) - self.experimental['expdata'].append(exp_dict['expdata_true']) + self.training["expdata"].append(exp_dict["expdata"]) + self.validation["expdata"].append(exp_dict["expdata_vl"]) + self.experimental["expdata"].append(exp_dict["expdata_true"]) - nd_tr = exp_dict['ndata'] - nd_vl = exp_dict['ndata_vl'] + nd_tr = exp_dict["ndata"] + nd_vl = exp_dict["ndata_vl"] - self.ndata_dict[exp_dict['name']] = nd_tr - self.ndata_dict[exp_dict['name'] + "_vl"] = nd_vl + self.ndata_dict[exp_dict["name"]] = nd_tr + self.ndata_dict[exp_dict["name"] + "_vl"] = nd_vl - self.training['ndata'] += nd_tr - self.validation['ndata'] += nd_vl - self.experimental['ndata'] += nd_tr + nd_vl + self.training["ndata"] += nd_tr + self.validation["ndata"] += nd_vl + self.experimental["ndata"] += nd_tr + nd_vl for pos_dict in self.pos_info: - self.training['expdata'].append( pos_dict['expdata'] ) - self.ndata_dict[pos_dict['name']] = pos_dict['ndata'] - self.training['posdatasets'].append(pos_dict['name']) + self.training["expdata"].append(pos_dict["expdata"]) + self.ndata_dict[pos_dict["name"]] = pos_dict["ndata"] + self.training["posdatasets"].append(pos_dict["name"]) - self.ndata_dict['total_tr'] = self.training['ndata'] - self.ndata_dict['total_vl'] = self.validation['ndata'] - self.ndata_dict['total'] = self.experimental['ndata'] + self.ndata_dict["total_tr"] = self.training["ndata"] + self.ndata_dict["total_vl"] = self.validation["ndata"] + self.ndata_dict["total"] = self.experimental["ndata"] def _model_generation(self): """ @@ -181,9 +163,9 @@ def _model_generation(self): input_list = self.input_list # Create the training, validation and true (data w/o replica) models: - tr_model = MetaModel(input_list, self._pdf_injection(self.training['output'])) - vl_model = MetaModel(input_list, self._pdf_injection(self.validation['output'])) - true_model = MetaModel(input_list, self._pdf_injection(self.experimental['output'])) + tr_model = MetaModel(input_list, self._pdf_injection(self.training["output"])) + vl_model = MetaModel(input_list, self._pdf_injection(self.validation["output"])) + true_model = MetaModel(input_list, self._pdf_injection(self.experimental["output"])) if self.model_file: # If a model file is given, load the weights from there @@ -194,22 +176,21 @@ def _model_generation(self): if self.print_summary: tr_model.summary() - fake_opt = 'RMSprop' + fake_opt = "RMSprop" fake_lr = 0.01 # Compile true and validation with fake lr/optimizer - vl_model.compile( optimizer_name = fake_opt, learning_rate = fake_lr, loss = self.validation['losses']) - true_model.compile( optimizer_name = fake_opt, learning_rate = fake_lr, loss = self.experimental['losses'] ) + vl_model.compile(optimizer_name=fake_opt, learning_rate=fake_lr, loss=self.validation["losses"]) + true_model.compile(optimizer_name=fake_opt, learning_rate=fake_lr, loss=self.experimental["losses"]) if self.test_dict: # If a test_dict was given, create and compile also the test model - test_model = MetaModel(input_list, self._pdf_injection(self.test_dict['output'])) - test_model.compile( optimizer_name = fake_opt, learning_rate = fake_lr, loss = self.test_dict['losses'] ) - self.test_dict['model'] = test_model - - self.training['model'] = tr_model - self.validation['model'] = vl_model - self.experimental['model'] = true_model + test_model = MetaModel(input_list, self._pdf_injection(self.test_dict["output"])) + test_model.compile(optimizer_name=fake_opt, learning_rate=fake_lr, loss=self.test_dict["losses"]) + self.test_dict["model"] = test_model + self.training["model"] = tr_model + self.validation["model"] = vl_model + self.experimental["model"] = true_model def _reset_observables(self): """ @@ -219,7 +200,7 @@ def _reset_observables(self): or be obliterated when the backend state is reset """ self.input_list = [] - for key in ['output', 'losses']: + for key in ["output", "losses"]: self.training[key] = [] self.validation[key] = [] self.experimental[key] = [] @@ -233,7 +214,6 @@ def _pdf_injection(self, olist): """ return [o(self.layer_pdf) for o in olist] - ############################################################################ # # Parametizable functions # # # @@ -260,55 +240,55 @@ def _generate_observables(self, params): self.log_info("Generating layers") # two parameters are used here which might go to the hyperopt - pos_multiplier = params['pos_multiplier'] # how much to increase the positivity penalty each 100 epochs - pos_initial = params['pos_initial'] + pos_multiplier = params["pos_multiplier"] # how much to increase the positivity penalty each 100 epochs + pos_initial = params["pos_initial"] # Now we need to loop over all dictionaries (First exp_info, then pos_info) for exp_dict in self.exp_info: if not self.mode_hyperopt: - self.log_info("Generating layers for experiment {0}".format(exp_dict['name'])) + self.log_info("Generating layers for experiment {0}".format(exp_dict["name"])) exp_layer = model_gen.observable_generator(exp_dict) # Save the input(s) corresponding to this experiment - self.input_list += exp_layer['inputs'] + self.input_list += exp_layer["inputs"] - if exp_dict['name'] == TESTNAME and self.test_dict: + if exp_dict["name"] == TESTNAME and self.test_dict: # If this is the test set, fill the dictionary and stop here - self.test_dict['output'].append( exp_layer['output'] ) - self.test_dict['losses'].append( exp_layer['loss'] ) + self.test_dict["output"].append(exp_layer["output"]) + self.test_dict["losses"].append(exp_layer["loss"]) continue # Now save the observable layer, the losses and the experimental data - self.training['output'].append( exp_layer['output_tr'] ) - self.validation['output'].append( exp_layer['output_vl'] ) - self.experimental['output'].append( exp_layer['output'] ) + self.training["output"].append(exp_layer["output_tr"]) + self.validation["output"].append(exp_layer["output_vl"]) + self.experimental["output"].append(exp_layer["output"]) - self.training['losses'].append( exp_layer['loss_tr'] ) - self.validation['losses'].append( exp_layer['loss_vl'] ) - self.experimental['losses'].append( exp_layer['loss'] ) + self.training["losses"].append(exp_layer["loss_tr"]) + self.validation["losses"].append(exp_layer["loss_vl"]) + self.experimental["losses"].append(exp_layer["loss"]) # Finally generate the positivity penalty for pos_dict in self.pos_info: if not self.mode_hyperopt: - self.log_info("Generating positivity penalty for {0}".format(pos_dict['name'])) - pos_layer = model_gen.observable_generator(pos_dict, - positivity_initial = pos_initial, positivity_multiplier = pos_multiplier - ) + self.log_info("Generating positivity penalty for {0}".format(pos_dict["name"])) + pos_layer = model_gen.observable_generator( + pos_dict, positivity_initial=pos_initial, positivity_multiplier=pos_multiplier + ) # The input list is still common - self.input_list += pos_layer['inputs'] + self.input_list += pos_layer["inputs"] # The positivity all falls to the training - self.training['output'].append( pos_layer['output_tr'] ) - self.training['losses'].append( pos_layer['loss_tr'] ) + self.training["output"].append(pos_layer["output_tr"]) + self.training["losses"].append(pos_layer["loss_tr"]) # Save the positivity multiplier into the training dictionary as it will be used during training - self.training['pos_multiplier'] = pos_multiplier + self.training["pos_multiplier"] = pos_multiplier # If there is no validation, overwrite the values of validation with the values of training -# if self.no_validation: -# self.validation['losses'] = self.training['losses'] -# self.validation['output'] = self.training['output'] + # if self.no_validation: + # self.validation['losses'] = self.training['losses'] + # self.validation['output'] = self.training['output'] def _generate_pdf(self, params): """ @@ -333,23 +313,28 @@ def _generate_pdf(self, params): self.log_info("Generating PDF layer") # Set the parameters of the NN - nodes_per_layer = params['nodes_per_layer'] - activation_per_layer = params['activation_per_layer'] - initializer = params['initializer'] - layer_type = params['layer_type'] - dropout = params['dropout'] + nodes_per_layer = params["nodes_per_layer"] + activation_per_layer = params["activation_per_layer"] + initializer = params["initializer"] + layer_type = params["layer_type"] + dropout = params["dropout"] # Generate the NN layers layer_pdf, layers = model_gen.pdfNN_layer_generator( - nodes = nodes_per_layer, activations = activation_per_layer, layer_type = layer_type, - flav_info = self.flavinfo, seed = self.NNseed, initializer_name = initializer, dropout = dropout - ) + nodes=nodes_per_layer, + activations=activation_per_layer, + layer_type=layer_type, + flav_info=self.flavinfo, + seed=self.NNseed, + initializer_name=initializer, + dropout=dropout, + ) integrator_input = None if self.impose_sumrule: # Impose the sumrule # Inyect here momentum sum rule, effecively modifying layer_pdf - layer_pdf, integrator_input = constrains.msr_impose(layers['fitbasis'], layer_pdf) + layer_pdf, integrator_input = constrains.msr_impose(layers["fitbasis"], layer_pdf) self.input_list.append(integrator_input) self.layer_pdf = layer_pdf @@ -364,18 +349,15 @@ def _model_compilation(self, params): - learning_rate - optimizer """ - training_model = self.training['model'] - loss_list = self.training['losses'] + training_model = self.training["model"] + loss_list = self.training["losses"] # Before compilation, set all parameters as given in the params dictionary - learning_rate = params['learning_rate'] + learning_rate = params["learning_rate"] # Choose the optimizer, compile the net and print summary - opt_name = params['optimizer'] - - training_model.compile( - optimizer_name = opt_name, learning_rate = learning_rate, loss = loss_list - ) + opt_name = params["optimizer"] + training_model.compile(optimizer_name=opt_name, learning_rate=learning_rate, loss=loss_list) def _train_and_fit(self, validation_object, epochs): """ @@ -385,24 +367,22 @@ def _train_and_fit(self, validation_object, epochs): Every 100 epochs the positivitiy will be updated with self.training['pos_multiplier'] """ - training_model = self.training['model'] - exp_list = self.training['expdata'] - pos_multiplier = self.training['pos_multiplier'] + training_model = self.training["model"] + exp_list = self.training["expdata"] + pos_multiplier = self.training["pos_multiplier"] # Train the model for the number of epochs given for epoch in range(epochs): - out = training_model.fit( - x = None, y = exp_list, epochs = 1, verbose=False, shuffle=False - ) + out = training_model.fit(x=None, y=exp_list, epochs=1, verbose=False, shuffle=False) passes = validation_object.monitor_chi2(out, epoch) if validation_object.stop_here(): break - if (epoch+1)%100 == 0: - for pos_ds in self.training['posdatasets']: + if (epoch + 1) % 100 == 0: + for pos_ds in self.training["posdatasets"]: name = pos_ds curr_w = training_model.get_layer(name).get_weights() - new_w = [curr_w[0]*pos_multiplier] + new_w = [curr_w[0] * pos_multiplier] training_model.get_layer(name).set_weights(new_w) # Report a "good" training only if there was no NaNs and there was at least a point which passed positivity @@ -452,22 +432,31 @@ def hyperparametizable(self, params): # Generate the validation_object # this object golds statistical information about the fit and it can be used to perform stopping - epochs = int(params['epochs']) - stopping_patience = params['stopping_patience'] - stopping_epochs = epochs*stopping_patience + epochs = int(params["epochs"]) + stopping_patience = params["stopping_patience"] + stopping_epochs = epochs * stopping_patience # If the tr/vl splitting is == 1, there will be no points in the validation so we use the training as val if self.no_validation: - validation_object = Statistics.Stat_Info( self.training['model'], self.training['expdata'], - self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs ) + validation_object = Statistics.Stat_Info( + self.training["model"], + self.training["expdata"], + self.ndata_dict, + total_epochs=epochs, + stopping_epochs=stopping_epochs, + ) else: - validation_object = Statistics.Stat_Info(self.validation['model'], self.validation['expdata'], - self.ndata_dict, total_epochs = epochs, stopping_epochs = stopping_epochs ) + validation_object = Statistics.Stat_Info( + self.validation["model"], + self.validation["expdata"], + self.ndata_dict, + total_epochs=epochs, + stopping_epochs=stopping_epochs, + ) # Compile the training['model'] with the given parameters self._model_compilation(params) - ### Training loop passed = self._train_and_fit(validation_object, epochs) @@ -478,43 +467,43 @@ def hyperparametizable(self, params): validation_loss = validation_object.loss() # Compute experimental loss - exp_final = self.experimental['model'].evaluate( x = None, y = self.experimental['expdata'], batch_size = 1 ) + exp_final = self.experimental["model"].evaluate(x=None, y=self.experimental["expdata"], batch_size=1) try: - experimental_loss = exp_final[0] / self.experimental['ndata'] + experimental_loss = exp_final[0] / self.experimental["ndata"] except IndexError: - experimental_loss = exp_final / self.experimental['ndata'] + experimental_loss = exp_final / self.experimental["ndata"] # Compute the testing loss if it was given if self.test_dict: # Generate the 'true' chi2 with the experimental model but only for models that were stopped - target_model = self.test_dict['model'] - target_data = self.test_dict['expdata'] - out_final = target_model.evaluate( x = None, y = target_data, verbose = False, batch_size = 1) + target_model = self.test_dict["model"] + target_data = self.test_dict["expdata"] + out_final = target_model.evaluate(x=None, y=target_data, verbose=False, batch_size=1) try: - testing_loss = out_final[0] / self.test_dict['ndata'] + testing_loss = out_final[0] / self.test_dict["ndata"] except IndexError: - testing_loss = out_final / self.test_dict['ndata'] + testing_loss = out_final / self.test_dict["ndata"] else: testing_loss = 0.0 if self.mode_hyperopt: - final_loss = validation_multiplier*validation_loss - final_loss += test_multiplier*testing_loss - final_loss /= (test_multiplier + validation_multiplier) - arc_lengths = constrains.compute_arclength(layers['fitbasis'], verbose = False) + final_loss = validation_multiplier * validation_loss + final_loss += test_multiplier * testing_loss + final_loss /= test_multiplier + validation_multiplier + arc_lengths = constrains.compute_arclength(layers["fitbasis"], verbose=False) else: final_loss = experimental_loss arc_lengths = None dict_out = { - 'loss' : final_loss, - 'status' : passed, - 'arc_lengths' : arc_lengths, - 'training_loss' : validation_object.tr_loss(), - 'validation_loss' : validation_loss, - 'experimental_loss' : experimental_loss, - 'testing_loss' : testing_loss, - } + "loss": final_loss, + "status": passed, + "arc_lengths": arc_lengths, + "training_loss": validation_object.tr_loss(), + "validation_loss": validation_loss, + "experimental_loss": experimental_loss, + "testing_loss": testing_loss, + } if self.mode_hyperopt: # If we are using hyperopt we don't need to output any other information @@ -524,10 +513,10 @@ def hyperparametizable(self, params): # to generate the output pdf, check the arc-length, gather stats, etc # some of them are already attributes of the class so they are redundant here # but I think it's good to present them explicitly - dict_out['layer_pdf'] = self.layer_pdf - dict_out['layers'] = layers - dict_out['integrator_input'] = integrator_input - dict_out['validation_object'] = validation_object - dict_out['training'] = self.training + dict_out["layer_pdf"] = self.layer_pdf + dict_out["layers"] = layers + dict_out["integrator_input"] = integrator_input + dict_out["validation_object"] = validation_object + dict_out["training"] = self.training return dict_out diff --git a/n3fit/Statistics.py b/n3fit/Statistics.py index a24579d282..9776b223ca 100644 --- a/n3fit/Statistics.py +++ b/n3fit/Statistics.py @@ -1,11 +1,20 @@ import numpy as np from matplotlib import pyplot as pl -class Stat_Info: - def __init__(self, vl_model, vl_data, ndata_dict, threshold_positivity = 1e-6, - chi2_threshold = 3.0, save_all_each = 100, total_epochs = 0, - stopping_epochs = 7000, dont_stop = False): +class Stat_Info: + def __init__( + self, + vl_model, + vl_data, + ndata_dict, + threshold_positivity=1e-6, + chi2_threshold=3.0, + save_all_each=100, + total_epochs=0, + stopping_epochs=7000, + dont_stop=False, + ): """ To instantiate the Stats_Info object we need: - vl_model: The validation model, which has the same PDF layer as the training model @@ -19,7 +28,7 @@ def __init__(self, vl_model, vl_data, ndata_dict, threshold_positivity = 1e-6, if the chi2 doesnt go below the minimum after stopping_epochs, we stop - dont_stop: dont_stop anyway - """ # TODO: this function has outgrown its initial scope and some refactoring is needed + """ # TODO: this function has outgrown its initial scope and some refactoring is needed self.vl_model = vl_model self.vl_data = vl_data @@ -42,12 +51,12 @@ def __init__(self, vl_model, vl_data, ndata_dict, threshold_positivity = 1e-6, self.threshold = chi2_threshold # Number of points per experiment - self.ndata_tr = max(ndata_dict['total_tr'], 1) - self.ndata_vl = max(ndata_dict['total_vl'], 1) + self.ndata_tr = max(ndata_dict["total_tr"], 1) + self.ndata_vl = max(ndata_dict["total_vl"], 1) self.ndata_dict = ndata_dict self.exp_names = [] for i in ndata_dict.keys(): - if i.endswith('_vl') or i.startswith(('POS', 'total', 'ALL')): + if i.endswith("_vl") or i.startswith(("POS", "total", "ALL")): continue self.exp_names.append(i) @@ -72,10 +81,10 @@ def _clean_full_stats(self): for exp in self.exp_names: self.all_tr_chi2[exp] = [] self.all_vl_chi2[exp] = [] - self.all_tr_chi2['Total'] = [] - self.all_vl_chi2['Total'] = [] + self.all_tr_chi2["Total"] = [] + self.all_vl_chi2["Total"] = [] - def reset(self, stopping_epochs = None): + def reset(self, stopping_epochs=None): """ Sometimes it might be necessary to reset the statistics This only require resetting some of the variables and not all @@ -89,7 +98,6 @@ def reset(self, stopping_epochs = None): if stopping_epochs: self.stopping_epochs = stopping_epochs - def _compute_validation(self): """ Evaluates the validation model vl_list: a list of chi2, where the first element is the sum of all others @@ -97,7 +105,7 @@ def _compute_validation(self): Returns the list already normalised to the number of points """ - vl_list = self.vl_model.evaluate(x = None, y = self.vl_data, verbose = False, batch_size = 1) + vl_list = self.vl_model.evaluate(x=None, y=self.vl_data, verbose=False, batch_size=1) vl_dict = {} try: total = vl_list[0] / self.ndata_vl @@ -112,7 +120,6 @@ def _compute_validation(self): if len(vl_list) != len(self.exp_names): vl_list = [0.0 for i in self.exp_names] - # This loop relies on the information that comes through the input dictionaries to be accurate # It also relies in the ordered dictionaries introduced at some point in python 3.6/7 for chi2, exp in zip(vl_list, self.exp_names): @@ -126,13 +133,13 @@ def _parse_training(self, training_info): is already normalised to the number of points per experiment """ try: hobj = training_info.history - except AttributeError: # So it works whether we pass the out our the out.history + except AttributeError: # So it works whether we pass the out our the out.history hobj = training_info # Since the history object can have more than one loss (if epochs != 1) but it is always a list # Save them as the mean - total = np.mean(hobj['loss']) / self.ndata_tr + total = np.mean(hobj["loss"]) / self.ndata_tr tr_chi2 = {} for exp in self.exp_names: chi2 = np.mean(hobj[exp + "_loss"]) / self.ndata_dict[exp] @@ -140,8 +147,6 @@ def _parse_training(self, training_info): return total, tr_chi2 - - def monitor_chi2(self, training_info, epoch): """ Function to be called at the end of every epoch. Stores the total chi2 of the training set as well as the @@ -166,7 +171,7 @@ def monitor_chi2(self, training_info, epoch): self.best_chi2 = 1e10 return False - if vl_chi2 == 0.0: # If there is no masking, training and validation are the same thing + if vl_chi2 == 0.0: # If there is no masking, training and validation are the same thing vl_chi2 = tr_chi2 all_vl = all_tr @@ -187,23 +192,23 @@ def monitor_chi2(self, training_info, epoch): elif not self.w_best_chi2: self.stopping_degree = 0 - if (epoch+1) % 100 == 0: + if (epoch + 1) % 100 == 0: self.all_epochs.append(epoch + 1) for exp in self.exp_names: self.all_tr_chi2[exp].append(all_tr[exp]) self.all_vl_chi2[exp].append(all_vl[exp]) - self.all_tr_chi2['Total'].append(tr_chi2) - self.all_vl_chi2['Total'].append(vl_chi2) + self.all_tr_chi2["Total"].append(tr_chi2) + self.all_vl_chi2["Total"].append(vl_chi2) self.print_current_stats() if self.stopping_degree > self.stopping_epochs: self.stop_now = True self.epoch_of_the_stop = epoch - self.reload_model(force = True) + self.reload_model(force=True) return True - def reload_model(self, force = False): + def reload_model(self, force=False): if (self.not_reloaded or force) and self.w_best_chi2: self.not_reloaded = False self.vl_model.set_weights(self.w_best_chi2) @@ -232,7 +237,7 @@ def print_current_stats(self): """ epoch = self.all_epochs[-1] epochs = self.total_epochs - total = self.all_tr_chi2['Total'][-1] + total = self.all_tr_chi2["Total"][-1] total_str = "\nAt epoch {0}/{1}, total loss: {2}".format(epoch, epochs, total) partials = "" @@ -243,23 +248,22 @@ def print_current_stats(self): if partials: print(" > Partial losses: " + partials) - total_vl = self.all_vl_chi2['Total'][-1] + total_vl = self.all_vl_chi2["Total"][-1] print(" > Validation loss at this point: {0}".format(total_vl)) def plot(self): print("Plotting validation loss") - pl.plot(self.epochs, self.tr_chi2, label = 'Training') - pl.plot(self.epochs, self.vl_chi2, label = 'Validation') + pl.plot(self.epochs, self.tr_chi2, label="Training") + pl.plot(self.epochs, self.vl_chi2, label="Validation") pl.legend() pl.show() - def check_positivity(self, training_info): """ Checks whether positivity passes """ chi2 = 0.0 try: hobj = training_info.history - except AttributeError: # So it works whether we pass the out our the out.history + except AttributeError: # So it works whether we pass the out our the out.history hobj = training_info for key, item in hobj.items(): @@ -271,7 +275,6 @@ def check_positivity(self, training_info): else: return True - # Str functions def positivity_pass(self): if self.positivity: @@ -280,12 +283,12 @@ def positivity_pass(self): return "POS_VETO" def preproc_str(self): - preprocessing = self.vl_model.get_layer('pdf_prepro') + preprocessing = self.vl_model.get_layer("pdf_prepro") alphabeta = preprocessing.get_weights() file_list = ["Alpha Beta"] for i in range(0, len(alphabeta), 2): - file_list.append( "\n{0} {1}".format(alphabeta[i][0], alphabeta[i+1][0])) - file_list.append('\n') + file_list.append("\n{0} {1}".format(alphabeta[i][0], alphabeta[i + 1][0])) + file_list.append("\n") return file_list def chi2exps_str(self): @@ -297,8 +300,8 @@ def chi2exps_str(self): tr = self.all_tr_chi2[exp][i] vl = self.all_vl_chi2[exp][i] strout += "\n{0}: {1} {2}".format(exp, tr, vl) - tr = self.all_tr_chi2['Total'][i] - vl = self.all_vl_chi2['Total'][i] + tr = self.all_tr_chi2["Total"][i] + vl = self.all_vl_chi2["Total"][i] strout += "\nTotal: training = {0} validation = {1}\n".format(tr, vl) file_list.append(strout) return file_list diff --git a/n3fit/backends/keras_backend/MetaLayer.py b/n3fit/backends/keras_backend/MetaLayer.py index 1d79983e25..1ea27f6d09 100644 --- a/n3fit/backends/keras_backend/MetaLayer.py +++ b/n3fit/backends/keras_backend/MetaLayer.py @@ -14,6 +14,7 @@ from keras.initializers import Constant, RandomUniform, glorot_normal, glorot_uniform from keras.constraints import MinMaxNorm + class MetaLayer(Layer): """ This metalayer function must contain all backend-dependent functions @@ -27,13 +28,13 @@ class MetaLayer(Layer): # Define in this dictionary new initializers as well as the arguments they accept (with default values if needed be) initializers = { - 'random_uniform' : (RandomUniform, {'minval':-0.5, 'maxval':0.5}), - 'glorot_uniform' : (glorot_uniform, {}), - 'glorot_normal' : (glorot_normal, {}), - } + "random_uniform": (RandomUniform, {"minval": -0.5, "maxval": 0.5}), + "glorot_uniform": (glorot_uniform, {}), + "glorot_normal": (glorot_normal, {}), + } # Building function - def builder_helper(self, name, kernel_shape, initializer, trainable = True, constraint = None): + def builder_helper(self, name, kernel_shape, initializer, trainable=True, constraint=None): """ Creates a kernel that should be saved as an attribute of the caller class name: name of the kernel @@ -43,21 +44,17 @@ def builder_helper(self, name, kernel_shape, initializer, trainable = True, cons constraint: one of the constraints from this class (actually, any keras constraints) """ kernel = self.add_weight( - name = name, - shape = kernel_shape, - initializer = initializer, - trainable = trainable, - constraint = constraint, - ) + name=name, shape=kernel_shape, initializer=initializer, trainable=trainable, constraint=constraint + ) return kernel # Implemented initializers @staticmethod def init_constant(value): - return Constant(value = value) + return Constant(value=value) @staticmethod - def select_initializer(ini_name, seed = None, **kwargs): + def select_initializer(ini_name, seed=None, **kwargs): """ Selects one of the initializers (which does initialize, i.e., not constant) All of them should accept seed @@ -65,17 +62,16 @@ def select_initializer(ini_name, seed = None, **kwargs): try: ini_tuple = MetaLayer.initializers[ini_name] except KeyError: - raise Exception(f'[MetaLayer.select_initializer] Optimizer not found {ini_name}') + raise Exception(f"[MetaLayer.select_initializer] Optimizer not found {ini_name}") ini_class = ini_tuple[0] ini_args = ini_tuple[1] - ini_args['seed'] = seed + ini_args["seed"] = seed for key, value in kwargs.items(): if key in ini_args.keys(): ini_args[key] = value - return ini_class( **ini_args ) - + return ini_class(**ini_args) # Implemented constraint def constraint_MinMaxWeight(self, min_value, max_value): @@ -83,17 +79,18 @@ def constraint_MinMaxWeight(self, min_value, max_value): Small override to the MinMaxNorm Keras class to not look at the absolute value This version looks at the sum instead of at the norm """ + class MinMaxWeight(MinMaxNorm): def __init__(self, **kwargs): super(MinMaxWeight, self).__init__(**kwargs) def __call__(self, w): norms = K.sum(w, axis=self.axis, keepdims=True) - desired = (self.rate * K.clip(norms, self.min_value, self.max_value) + - (1 - self.rate) * norms) - w *= (desired / (K.epsilon() + norms)) + desired = self.rate * K.clip(norms, self.min_value, self.max_value) + (1 - self.rate) * norms + w *= desired / (K.epsilon() + norms) return w - return MinMaxWeight(min_value = min_value, max_value = max_value) + + return MinMaxWeight(min_value=min_value, max_value=max_value) # Make numpy array into a tensor def np_to_tensor(self, np_array, **kwargs): @@ -107,28 +104,28 @@ def tensor_ones(self, shape, **kwargs): """ Generates a tensor of ones of the given shape """ - return K.ones( shape, **kwargs) + return K.ones(shape, **kwargs) - def many_replication(self, grid, replications, axis = 0, **kwargs): + def many_replication(self, grid, replications, axis=0, **kwargs): """ Generates a tensor with one extra dimension: a repetition of "grid" n times along the given axis from keras documentation: If x has shape (s1, s2, s3) and axis is 1, the output will have shape (s1, s2 * rep, s3) """ - return K.repeat_elements(grid, rep = replications, axis = axis, **kwargs) + return K.repeat_elements(grid, rep=replications, axis=axis, **kwargs) - def sum(self, tensor, axis = None, **kwargs): + def sum(self, tensor, axis=None, **kwargs): """ Computes the sum of the elements of the tensor """ - return K.sum(tensor, axis = axis, **kwargs) + return K.sum(tensor, axis=axis, **kwargs) def tensor_product(self, tensor_x, tensor_y, axes, **kwargs): """ Computes the tensordot product between tensor_x and tensor_y """ - return K.tf.tensordot(tensor_x, tensor_y, axes = axes, **kwargs) + return K.tf.tensordot(tensor_x, tensor_y, axes=axes, **kwargs) def transpose(self, tensor, **kwargs): """ @@ -136,20 +133,20 @@ def transpose(self, tensor, **kwargs): """ return K.transpose(tensor, **kwargs) - def boolean_mask(self, tensor, mask, axis = None, **kwargs): + def boolean_mask(self, tensor, mask, axis=None, **kwargs): """ Applies boolean mask to a tensor """ - return K.tf.boolean_mask(tensor, mask, axis = axis, **kwargs) + return K.tf.boolean_mask(tensor, mask, axis=axis, **kwargs) - def concatenate(self, tensor_list, axis = -1, target_shape = None): + def concatenate(self, tensor_list, axis=-1, target_shape=None): """ Concatenates a list of numbers or tenosr into a bigger tensor If the target shape is given, the output is reshaped to said shape """ - concatenated_tensor = K.concatenate(tensor_list, axis = axis) + concatenated_tensor = K.concatenate(tensor_list, axis=axis) if target_shape: - return K.reshape( concatenated_tensor, target_shape ) + return K.reshape(concatenated_tensor, target_shape) else: return concatenated_tensor @@ -160,4 +157,4 @@ def permute_dimensions(self, tensor, permutation, **kwargs): if permutation = (1,0,2) does the permutation: axis_0 -> axis_1, axis_1 -> axis_0, axis_2 -> axis_2 """ - return K.permute_dimensions( tensor, permutation , **kwargs) + return K.permute_dimensions(tensor, permutation, **kwargs) diff --git a/n3fit/backends/keras_backend/MetaModel.py b/n3fit/backends/keras_backend/MetaModel.py index 991ae24a72..3058f56976 100644 --- a/n3fit/backends/keras_backend/MetaModel.py +++ b/n3fit/backends/keras_backend/MetaModel.py @@ -37,7 +37,7 @@ class MetaModel(Model): ), } - def __init__(self, input_tensors, output_tensors, extra_tensors = None): + def __init__(self, input_tensors, output_tensors, extra_tensors=None): """ This class behaves as keras.models.Model with some add-ons: @@ -60,14 +60,14 @@ def __init__(self, input_tensors, output_tensors, extra_tensors = None): inputs = [] if isinstance(ii, list): for i in ii: - inputs.append( self._np_to_input(i) ) + inputs.append(self._np_to_input(i)) else: - inputs = [ self._np_to_input(ii) ] + inputs = [self._np_to_input(ii)] o_tensor = oo(*inputs) input_list += inputs output_list.append(o_tensor) - super (MetaModel, self).__init__( input_list, output_list ) + super(MetaModel, self).__init__(input_list, output_list) def _np_to_input(self, x): """ @@ -75,11 +75,11 @@ def _np_to_input(self, x): """ if isinstance(x, np.ndarray): tensor = K.constant(x) - return Input( tensor = tensor ) + return Input(tensor=tensor) else: return x - def compile(self, optimizer_name = 'RMSprop', learning_rate = 0.05, loss = None, **kwargs): + def compile(self, optimizer_name="RMSprop", learning_rate=0.05, loss=None, **kwargs): """ Compile the model given: - Optimizer @@ -89,15 +89,15 @@ def compile(self, optimizer_name = 'RMSprop', learning_rate = 0.05, loss = None, try: opt_tuple = self.optimizers[optimizer_name] except KeyError: - raise Exception(f'[MetaModel.compile] Optimizer not found {optimizer_name}') + raise Exception(f"[MetaModel.compile] Optimizer not found {optimizer_name}") opt_function = opt_tuple[0] opt_args = opt_tuple[1] - if 'lr' in opt_args.keys(): - opt_args['lr'] = learning_rate + if "lr" in opt_args.keys(): + opt_args["lr"] = learning_rate - opt_args['clipnorm'] = 1.0 + opt_args["clipnorm"] = 1.0 opt = opt_function(**opt_args) - super (MetaModel, self).compile(optimizer = opt, loss = loss, **kwargs) + super(MetaModel, self).compile(optimizer=opt, loss=loss, **kwargs) diff --git a/n3fit/backends/keras_backend/base_layers.py b/n3fit/backends/keras_backend/base_layers.py index d43fed50f7..009838d37d 100644 --- a/n3fit/backends/keras_backend/base_layers.py +++ b/n3fit/backends/keras_backend/base_layers.py @@ -24,6 +24,7 @@ def ReshapedLSTM(input_tensor): return the_lstm(reshaped) else: return the_lstm(input_tensor) + return ReshapedLSTM @@ -59,4 +60,4 @@ def base_layer_selector(layer_name, **kwargs): if key in layer_args.keys(): layer_args[key] = value - return layer_class( **layer_args ) + return layer_class(**layer_args) diff --git a/n3fit/backends/keras_backend/debug_mode.py b/n3fit/backends/keras_backend/debug_mode.py index 9f1808fbcb..ad47ff99d0 100644 --- a/n3fit/backends/keras_backend/debug_mode.py +++ b/n3fit/backends/keras_backend/debug_mode.py @@ -1,4 +1,4 @@ -def set_initial_state(debug = False, seed = 13): +def set_initial_state(debug=False, seed=13): """ Setting the initial state for debugging can be very tricky This is the only way of getting reproducible results for keras-tensorflow @@ -13,7 +13,7 @@ def set_initial_state(debug = False, seed = 13): import random as rn np.random.seed(seed) - use_seed = np.random.randint(0, pow(2,31)) + use_seed = np.random.randint(0, pow(2, 31)) rn.seed(use_seed) from keras import backend as K @@ -25,10 +25,12 @@ def set_initial_state(debug = False, seed = 13): return 0 + def clear_backend_state(debug): if not debug: print("Clearing session") from keras import backend as K + K.clear_session() # Don't open threads that you are not going to eat session_conf = K.tf.ConfigProto(intra_op_parallelism_threads=2, diff --git a/n3fit/backends/keras_backend/losses.py b/n3fit/backends/keras_backend/losses.py index ea4c0b710b..3ddb319e62 100644 --- a/n3fit/backends/keras_backend/losses.py +++ b/n3fit/backends/keras_backend/losses.py @@ -1,24 +1,30 @@ import keras.backend as K + def l_invcovmat(invcovmat_np): """ Returns a loss function such that: L = \sum_{ij} (yt - yp)_{i} invcovmat_{ij} (yt - yp)_{j} """ invcovmat = K.constant(invcovmat_np) + def true_loss(y_true, y_pred): # (yt - yp) * covmat * (yt - yp) - tmp = (y_true - y_pred) - right_dot = K.tf.tensordot(invcovmat, K.transpose(tmp), axes = 1) - return K.tf.tensordot(tmp, right_dot, axes = 1) + tmp = y_true - y_pred + right_dot = K.tf.tensordot(invcovmat, K.transpose(tmp), axes=1) + return K.tf.tensordot(tmp, right_dot, axes=1) + return true_loss -def l_positivity(alpha = 1e-7): + +def l_positivity(alpha=1e-7): """ Returns L = elu(y_pred) (considers y_true as 0) """ + def true_loss(y_true, y_pred): y = -y_pred - loss = K.elu(y, alpha = alpha) + loss = K.elu(y, alpha=alpha) return K.sum(loss) + return true_loss diff --git a/n3fit/backends/keras_backend/operations.py b/n3fit/backends/keras_backend/operations.py index b2d6ba3fe5..cf8e336d6e 100644 --- a/n3fit/backends/keras_backend/operations.py +++ b/n3fit/backends/keras_backend/operations.py @@ -6,14 +6,17 @@ from keras.layers import Input from keras import backend as K + def numpy_to_input(numpy_array): - return Input( tensor = K.constant(numpy_array)) + return Input(tensor=K.constant(numpy_array)) + # All operations must accept as an input a list or tuple of keras layers # with the same output shape # and return a keras operation with, again, the same output shape -def c_to_py_fun(op_name, name, default = 'ADD'): + +def c_to_py_fun(op_name, name, default="ADD"): """ Map between the NNPDF operations and the operations defined in this file Any new backend must implement such a mapping @@ -31,16 +34,18 @@ def c_to_py_fun(op_name, name, default = 'ADD'): return d[default] def operation_fun(o_list): - return d[op_name]( o_list, name = name ) + return d[op_name](o_list, name=name) return operation_fun + def op_multiply(o_list, **kwargs): """ Receives a list of layers of the same output size and multiply them element-wise """ return keras_multiply(o_list, **kwargs) + def op_multiply_dim(o_list, **kwargs): """ Bypass in order to multiply two layers with different output dimension @@ -52,24 +57,28 @@ def op_multiply_dim(o_list, **kwargs): create_operation = keras_Lambda(lambda inputs: inputs[0] * inputs[1]) return create_operation(o_list) + def op_null(o_list, **kwargs): """ Not a compound object, do nothing """ return o_list[0] + def op_add(o_list, **kwargs): """ Sum a list of layers with the same output dim """ return keras_add(o_list, **kwargs) + def op_subtract(o_list, **kwargs): """ Subtract all observables """ return keras_subtract(o_list) + def op_log(o_tensor, **kwargs): """ Computes the logarithm of the input @@ -87,6 +96,7 @@ def op_ratio(o_list, **kwargs): division_layer = keras_Lambda(lambda inputs: inputs[0] / inputs[1], **kwargs) return division_layer(o_list) + def op_asy(o_list, **kwargs): """ Perform the asymmetry operation on two observables @@ -96,7 +106,8 @@ def op_asy(o_list, **kwargs): subtraction = keras_subtract(o_list) addition = op_add(o_list) - return op_ratio( [subtraction, addition], **kwargs ) + return op_ratio([subtraction, addition], **kwargs) + def op_smn(o_list, **kwargs): """ @@ -104,6 +115,6 @@ def op_smn(o_list, **kwargs): """ if len(o_list) != 4: raise Exception("The number of observables is incorrect, operations.py:op_smn") - numer = op_add( o_list[:2] ) - denom = op_add( o_list[2:] ) - return op_ratio( [numer, denom], **kwargs ) + numer = op_add(o_list[:2]) + denom = op_add(o_list[2:]) + return op_ratio([numer, denom], **kwargs) diff --git a/n3fit/constrains.py b/n3fit/constrains.py index 4337eafc90..5094c80d1e 100644 --- a/n3fit/constrains.py +++ b/n3fit/constrains.py @@ -7,31 +7,33 @@ from backends import operations from backends import MetaModel + def gen_integration_input(nx): """ Generates a np.array (shaped (nx,1)) of nx elements where the nx/2 first elements are a logspace between 0 and 0.1 and the rest a linspace from 0.1 to 0 """ - lognx = int(nx/2) + lognx = int(nx / 2) linnx = int(nx - lognx) - xgrid_log = np.logspace(-9,-1, lognx + 1) - xgrid_lin = np.linspace(0.1,1, linnx) + xgrid_log = np.logspace(-9, -1, lognx + 1) + xgrid_lin = np.linspace(0.1, 1, linnx) xgrid = np.concatenate([xgrid_log[:-1], xgrid_lin]).reshape(nx, 1) spacing = [0.0] - for i in range(1,nx): - spacing.append( np.abs(xgrid[i-1]-xgrid[i]) ) + for i in range(1, nx): + spacing.append(np.abs(xgrid[i - 1] - xgrid[i])) spacing.append(0.0) weights = [] for i in range(nx): - weights.append( (spacing[i]+spacing[i+1])/2.0 ) + weights.append((spacing[i] + spacing[i + 1]) / 2.0) weights_array = np.array(weights).reshape(nx, 1) return xgrid, weights_array -def msr_impose(fit_layer, final_pdf_layer, verbose = False): + +def msr_impose(fit_layer, final_pdf_layer, verbose=False): """ This function receives: - pdf_fit: the 8-basis layer of PDF which we fit @@ -46,81 +48,81 @@ def msr_impose(fit_layer, final_pdf_layer, verbose = False): # 2. Prepare the pdf for integration # for that we need to multiply several flavours with 1/x - division_by_x = xDivide(size = nx) + division_by_x = xDivide(size=nx) + def pdf_integrand(x): - res = operations.op_multiply([ - division_by_x(x), fit_layer(x) - ]) + res = operations.op_multiply([division_by_x(x), fit_layer(x)]) return res # 3. Now create the integration layer (the layer that will simply integrate, given some weight - integrator = xIntegrator(weights_array, input_shape = (nx,)) + integrator = xIntegrator(weights_array, input_shape=(nx,)) # 4. Now create the normalization by selecting the right integrations - normalizer = MSR_Normalization(input_shape = (8,)) + normalizer = MSR_Normalization(input_shape=(8,)) # 5. Make the xgrid numpy array into a backend input layer so it can be given xgrid_input = operations.numpy_to_input(xgrid) - normalization = normalizer( - integrator( - pdf_integrand(xgrid_input) - ) - ) + normalization = normalizer(integrator(pdf_integrand(xgrid_input))) def ultimate_pdf(x): - return operations.op_multiply_dim( [final_pdf_layer(x), normalization] ) + return operations.op_multiply_dim([final_pdf_layer(x), normalization]) if verbose: -# only_int = integrator(pdf_integrand(xgrid_input)) -# modelito = MetaModel(xgrid_input, only_int) -# result = modelito.predict(x = None, steps = 1) + # only_int = integrator(pdf_integrand(xgrid_input)) + # modelito = MetaModel(xgrid_input, only_int) + # result = modelito.predict(x = None, steps = 1) print(" > > Generating model for the inyection layer which imposes MSR") - check_integration(ultimate_pdf, xgrid_input, verbose = True) + check_integration(ultimate_pdf, xgrid_input, verbose=True) # Save a reference to xgrid in ultimate_pdf, very useful for debugging ultimate_pdf.ref_xgrid = xgrid_input return ultimate_pdf, xgrid_input -def check_integration(ultimate_pdf, integration_input, verbose = False): + +def check_integration(ultimate_pdf, integration_input, verbose=False): nx = int(1e4) xgrid, weights_array = gen_integration_input(nx) - xgrid_input = operations.numpy_to_input( xgrid ) + xgrid_input = operations.numpy_to_input(xgrid) + + multiplier = xDivide(size=nx, output_dim=14, div_list=range(3, 9)) - multiplier = xDivide(size = nx, output_dim = 14, div_list = range(3,9)) def pdf_integrand(x): - res = operations.op_multiply([ - multiplier(x), ultimate_pdf(x) - ]) + res = operations.op_multiply([multiplier(x), ultimate_pdf(x)]) return res - modelito = MetaModel( [xgrid_input, integration_input], pdf_integrand(xgrid_input) ) + modelito = MetaModel([xgrid_input, integration_input], pdf_integrand(xgrid_input)) if verbose: modelito.summary() - result = modelito.predict(x = None, steps = 1) + result = modelito.predict(x=None, steps=1) - result_weighted = result*weights_array - result_integrated = np.sum(result_weighted, axis = 0) + result_weighted = result * weights_array + result_integrated = np.sum(result_weighted, axis=0) msr = result_integrated[1] + result_integrated[2] v = result_integrated[3] v3 = result_integrated[4] v8 = result_integrated[5] - print(""" + print( + """ > > > Int from 0 to 1 of: x*g(x) + x*sigma(x) = {0} v = {1} v3 = {2} - v8 = {3}""".format(msr, v, v3, v8)) + v8 = {3}""".format( + msr, v, v3, v8 + ) + ) -def compute_arclength(fitbasis_layer, verbose = False): + +def compute_arclength(fitbasis_layer, verbose=False): """ Given the layer with the fit basis computes the arc length """ nx = int(1e6) xgrid, weights_array = gen_integration_input(nx) - multiplier = xMultiply(size = nx) + multiplier = xMultiply(size=nx) xgrid_input = operations.numpy_to_input(xgrid) eps = xgrid[0] / 2.0 xgrid_input_prime = operations.numpy_to_input(xgrid - eps) @@ -130,24 +132,26 @@ def integrand(xgrid_input, xgrid_input_prime): f2 = fitbasis_layer(xgrid_input_prime) pdfprime = operations.op_subtract([f2, f1]) - res = operations.op_multiply([ - multiplier(xgrid_input), pdfprime - ]) + res = operations.op_multiply([multiplier(xgrid_input), pdfprime]) return res - modelito = MetaModel( [xgrid_input, xgrid_input_prime], integrand(xgrid_input, xgrid_input_prime) ) - derivatives = modelito.predict(x = None, steps = 1)/eps + modelito = MetaModel([xgrid_input, xgrid_input_prime], integrand(xgrid_input, xgrid_input_prime)) + derivatives = modelito.predict(x=None, steps=1) / eps derivatives_sq = pow(derivatives, 2) f_of_x = np.sqrt(1.0 + derivatives_sq) - arc_lengths = np.sum( f_of_x * weights_array, axis = 0) + arc_lengths = np.sum(f_of_x * weights_array, axis=0) if verbose: - print(""" + print( + """ > > > Arc length: sigma = {0} g = {1} v = {2} v3 = {3} - v8 = {4}""".format(*arc_lengths[:5])) + v8 = {4}""".format( + *arc_lengths[:5] + ) + ) return arc_lengths diff --git a/n3fit/create_testset.py b/n3fit/create_testset.py index cc60303880..a5f333cb89 100644 --- a/n3fit/create_testset.py +++ b/n3fit/create_testset.py @@ -3,23 +3,22 @@ from reportengine.compat import yaml + def test_runcard(runcard_file, datasets_out): """ Given a runcard and a set of datasets, generate a TEST-runcard where the datasets in datasets_out are removed from the training and put together as a new experiment called TEST """ # Load the input runcard as a dictionary - f = open(runcard_file, 'r') + f = open(runcard_file, "r") runcard_dict = yaml.safe_load(f) - runcard_exp = runcard_dict['experiments'] + runcard_exp = runcard_dict["experiments"] f.close() # Generate the list of datasets which are to be left out data_tests = [] for dataset in datasets_out: - data_tests.append( - {'dataset' : dataset, 'frac' : 1.0} # TODO copy the dictionary from the runcard instead - ) + data_tests.append({"dataset": dataset, "frac": 1.0}) # TODO copy the dictionary from the runcard instead # Create a test experiment from ModelTrainer import TESTNAME @@ -30,9 +29,9 @@ def test_runcard(runcard_file, datasets_out): # Now drop experiments and datasets that are being used for training for experiment in runcard_exp: - datasets = list(filter(lambda x: x['dataset'] not in datasets_out, experiment['datasets'])) + datasets = list(filter(lambda x: x["dataset"] not in datasets_out, experiment["datasets"])) if datasets: - experiment['datasets'] = datasets + experiment["datasets"] = datasets else: runcard_exp.remove(experiment) @@ -40,14 +39,14 @@ def test_runcard(runcard_file, datasets_out): # TODO: maybe there is a proper report-enginy way of doing this runcard_exp.append(test_experiment) new_runcard = "TEST-{0}".format(os.path.basename(runcard_file)) - no = open(new_runcard, 'w') - yaml.round_trip_dump(runcard_dict, no, explicit_start=True, explicit_end=True, - default_flow_style=True) + no = open(new_runcard, "w") + yaml.round_trip_dump(runcard_dict, no, explicit_start=True, explicit_end=True, default_flow_style=True) no.close() print("\n > You can find your new runcard at {0}/{1}\n".format(os.getcwd(), new_runcard)) -def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml"): + +def create_testset(experiments, runcard_file="runcards/NNPDF31_nlo_as_0118.yml"): """ This function gets the list of experiment and goes through the datasets reading their experiment type and range in x @@ -77,7 +76,7 @@ def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml else: dataset_by_proc[proc_type] = [data_dict] - select_min = False # If true selects the datasets with the smallest min(x), recommended: False + select_min = False # If true selects the datasets with the smallest min(x), recommended: False # 2) Now for every process type with more than one dataset, leave out the smallest datasets_out = [] @@ -87,7 +86,7 @@ def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml xmin = 1.0 xmax = 0.0 for dataset in datasets: - xm = dataset['xmin'] + xm = dataset["xmin"] if select_min: if xm < xmin: xmin = xmin @@ -97,8 +96,8 @@ def create_testset(experiments, runcard_file = "runcards/NNPDF31_nlo_as_0118.yml xmax = xm data_out = dataset print("For {0} we find {1} datasets, leaving one out: {2}".format(proc_type, l, data_out)) - datasets_out.append(data_out['name']) - all_experiments[dataset['exp']] -= 1 + datasets_out.append(data_out["name"]) + all_experiments[dataset["exp"]] -= 1 if not datasets_out: print("No redundant datasets were found") diff --git a/n3fit/filetrials.py b/n3fit/filetrials.py index 5e66409401..17ee1a0809 100644 --- a/n3fit/filetrials.py +++ b/n3fit/filetrials.py @@ -6,6 +6,7 @@ import json from hyperopt import Trials, space_eval + def space_eval_trial(space, trial): for_eval = {} for k, v in trial["misc"]["vals"].items(): @@ -20,6 +21,7 @@ class FileTrials(Trials): """ Stores trial results on the fly. """ + def __init__(self, replica_path, log=None, parameters=None, exp_key=None, refresh=True): self._store_trial = False self._json_file = "{0}/tries.json".format(replica_path) @@ -35,14 +37,14 @@ def refresh(self): # write json to disk if self._store_trial: - self.log_info(f'Storing scan in {self._json_file}') + self.log_info(f"Storing scan in {self._json_file}") local_trials = [] for idx, t in enumerate(self._dynamic_trials): local_trials.append(t) - local_trials[idx]['misc']['space_vals'] = space_eval_trial(self._parameters, t) + local_trials[idx]["misc"]["space_vals"] = space_eval_trial(self._parameters, t) all_to_str = json.dumps(local_trials, default=str) - with open(self._json_file, 'w') as f: + with open(self._json_file, "w") as f: f.write(all_to_str) def new_trial_ids(self, N): diff --git a/n3fit/fit.py b/n3fit/fit.py index fae05bbc7a..cca41b039a 100644 --- a/n3fit/fit.py +++ b/n3fit/fit.py @@ -12,16 +12,26 @@ # Action to be called by validphys # All information defining the NN should come here in the "parameters" dict -def fit( fitting, - experiments, t0set, replica, replica_path, output_path, - theoryid, posdatasets, hyperscan = None, - hyperopt = None, debug = False, - create_test_card = None): +def fit( + fitting, + experiments, + t0set, + replica, + replica_path, + output_path, + theoryid, + posdatasets, + hyperscan=None, + hyperopt=None, + debug=False, + create_test_card=None, +): # Call the script to generate a runcard with a test-set and immediately exit if create_test_card: from create_testset import create_testset - create_testset(experiments, runcard_file = create_test_card) + + create_testset(experiments, runcard_file=create_test_card) return 0 ############### @@ -29,7 +39,8 @@ def fit( fitting, # If debug is active, fix the initial state this should make the run reproducible # (important to avoid non-deterministic multithread or hidden states) from backends import set_initial_state - set_initial_state(debug = debug) + + set_initial_state(debug=debug) ############### # All potentially backend dependent imports should come inside the fit function @@ -39,9 +50,11 @@ def fit( fitting, from backends import MetaModel import reader import constrains + if hyperopt: import hyperopt as hyper import filetrials + status_ok = hyper.STATUS_OK else: status_ok = "ok" @@ -59,22 +72,22 @@ def fit( fitting, nnseeds = [] mcseeds = [] for replica_number in replica: - np.random.seed(fitting.get('trvlseed')) + np.random.seed(fitting.get("trvlseed")) for i in range(replica_number): - trvalseed = np.random.randint(0, pow(2,31)) + trvalseed = np.random.randint(0, pow(2, 31)) - np.random.seed(fitting.get('nnseed')) + np.random.seed(fitting.get("nnseed")) for i in range(replica_number): - nnseed = np.random.randint(0, pow(2,31)) + nnseed = np.random.randint(0, pow(2, 31)) - np.random.seed(fitting.get('mcseed')) + np.random.seed(fitting.get("mcseed")) for i in range(replica_number): - mcseed = np.random.randint(0, pow(2,31)) + mcseed = np.random.randint(0, pow(2, 31)) trvalseeds.append(trvalseed) nnseeds.append(nnseed) mcseeds.append(mcseed) - if fitting.get('genrep') == 0: + if fitting.get("genrep") == 0: mcseeds = [] ############################################################################## @@ -86,11 +99,11 @@ def fit( fitting, # we are just creating dictionaries with all the necessary information # (experimental data, covariance matrix, replicas, etc, tr/val split) ############################################################################## - all_exp_infos = [ [] for _ in replica ] + all_exp_infos = [[] for _ in replica] # First loop over the experiments for exp in experiments: log.info("Loading experiment: {0}".format(exp)) - all_exp_dicts = reader.common_data_reader(exp, t0pdfset, replica_seeds = mcseeds, trval_seeds = trvalseeds) + all_exp_dicts = reader.common_data_reader(exp, t0pdfset, replica_seeds=mcseeds, trval_seeds=trvalseeds) for i, exp_dict in enumerate(all_exp_dicts): all_exp_infos[i].append(exp_dict) @@ -104,7 +117,7 @@ def fit( fitting, # Note: In the basic scenario we are only running for one replica and thus this loop is only # run once and all_exp_infos is a list of just than one element for replica_number, exp_info, nnseed in zip(replica, all_exp_infos, nnseeds): - replica_path_set = replica_path / 'replica_{0}'.format(replica_number) + replica_path_set = replica_path / "replica_{0}".format(replica_number) log.info("Starting replica fit {0}".format(replica_number)) # Generate a ModelTrainer object @@ -118,8 +131,8 @@ def fit( fitting, # Check whether we want to load weights from a file (maybe from a previous run) # check whether the file exists, otherwise set it to none # reading the data up will be done by the model_trainer - if fitting.get('load'): - model_file = fitting.get('loadfile') + if fitting.get("load"): + model_file = fitting.get("loadfile") log.info(" > Loading the weights from previous training from {0}".format(model_file)) if not os.path.isfile(model_file): log.warning(" > Model file {0} could not be found".format(model_file)) @@ -131,7 +144,7 @@ def fit( fitting, pdf_gen_and_train_function = the_model_trainer.hyperparametizable # Read up the parameters of the NN from the runcard - parameters = fitting.get('parameters') + parameters = fitting.get("parameters") ######################################################################## # ### Hyperopt # @@ -145,20 +158,20 @@ def fit( fitting, the_scanner = HyperScanner(parameters) - stopping_options = hyperscan.get('stopping') - positivity_options = hyperscan.get('positivity') - optimizer_options = hyperscan.get('optimizer') - architecture_options = hyperscan.get('architecture') + stopping_options = hyperscan.get("stopping") + positivity_options = hyperscan.get("positivity") + optimizer_options = hyperscan.get("optimizer") + architecture_options = hyperscan.get("architecture") # Enable scanner for certain parameters - the_scanner.stopping( **stopping_options ) - the_scanner.positivity( **positivity_options ) - the_scanner.optimizer( **optimizer_options ) + the_scanner.stopping(**stopping_options) + the_scanner.positivity(**positivity_options) + the_scanner.optimizer(**optimizer_options) # Enable scanner for specific architectures - the_scanner.NN_architecture( **architecture_options ) + the_scanner.NN_architecture(**architecture_options) # Tell the trainer we are doing hyperopt - the_model_trainer.set_hyperopt(on = True, keys = the_scanner.hyper_keys) + the_model_trainer.set_hyperopt(on=True, keys=the_scanner.hyper_keys) # Generate Trials object trials = filetrials.FileTrials(replica_path_set, log=log, parameters=parameters) @@ -166,12 +179,12 @@ def fit( fitting, # Perform the scan try: best = hyper.fmin( - fn = pdf_gen_and_train_function, - space = the_scanner.dict(), - algo = hyper.tpe.suggest, - max_evals = hyperopt, - trials=trials - ) + fn=pdf_gen_and_train_function, + space=the_scanner.dict(), + algo=hyper.tpe.suggest, + max_evals=hyperopt, + trials=trials, + ) except ValueError as e: print("Error from hyperopt because no best model was found") print("@fit.py, setting the best trial to empty dict") @@ -185,11 +198,11 @@ def fit( fitting, print("##################") print("Best model found: ") for k, i in true_best.items(): - print(" {0} : {1} ".format(k,i)) + print(" {0} : {1} ".format(k, i)) ####################################################################### end of hyperopt # Ensure hyperopt is off - the_model_trainer.set_hyperopt(on = False) + the_model_trainer.set_hyperopt(on=False) ############################################################################# # ### Fit # @@ -199,30 +212,31 @@ def fit( fitting, result = pdf_gen_and_train_function(parameters) # After the fit is run we get a 'result' dictionary with the following items: - validation_object = result['validation_object'] - layer_pdf = result['layer_pdf'] - layers = result['layers'] - integrator_input = result['integrator_input'] - true_chi2 = result['loss'] - training = result['training'] + validation_object = result["validation_object"] + layer_pdf = result["layer_pdf"] + layers = result["layers"] + integrator_input = result["integrator_input"] + true_chi2 = result["loss"] + training = result["training"] log.info("Total exp chi2: {0}".format(true_chi2)) # Where has the stopping point happened (this is only for debugging purposes) - print(""" + print( + """ > > The stopping point has been at: {0} with a loss of {1} which it got at {2}. Stopping degree {3} Positivity state: {4} """.format( - validation_object.epoch_of_the_stop, - validation_object.loss(), - validation_object.e_best_chi2, - validation_object.stopping_degree, - validation_object.positivity_pass() - )) - + validation_object.epoch_of_the_stop, + validation_object.loss(), + validation_object.e_best_chi2, + validation_object.stopping_degree, + validation_object.positivity_pass(), + ) + ) # Compute the arclengths - arc_lengths = constrains.compute_arclength(layers['fitbasis'], verbose = True) + arc_lengths = constrains.compute_arclength(layers["fitbasis"], verbose=True) # Construct the chi2exp file allchi2_lines = validation_object.chi2exps_str() # Construct the preproc file @@ -233,24 +247,35 @@ def pdf_function(export_xgrid): """ Receives an array, returns the result of the PDF for said array """ - modelito = MetaModel( [integrator_input], [], extra_tensors = [(export_xgrid, layer_pdf)] ) - result = modelito.predict(x = None, steps = 1) + modelito = MetaModel([integrator_input], [], extra_tensors=[(export_xgrid, layer_pdf)]) + result = modelito.predict(x=None, steps=1) return result - # export PDF grid to file - storefit(pdf_function, replica_number, replica_path_set, output_path.stem, - theoryid.get_description().get('Q0')**2, validation_object.epoch_of_the_stop, - validation_object.loss(), validation_object.tr_loss(), true_chi2, - arc_lengths, allchi2_lines, preproc_lines, validation_object.positivity_pass()) + # export PDF grid to file + storefit( + pdf_function, + replica_number, + replica_path_set, + output_path.stem, + theoryid.get_description().get("Q0") ** 2, + validation_object.epoch_of_the_stop, + validation_object.loss(), + validation_object.tr_loss(), + true_chi2, + arc_lengths, + allchi2_lines, + preproc_lines, + validation_object.positivity_pass(), + ) # Save the weights to some file - if fitting.get('save'): - model_file = fitting.get('savefile') + if fitting.get("save"): + model_file = fitting.get("savefile") log.info(" > Saving the weights for future in {0}".format(model_file)) - training['model'].save_weights(model_file) + training["model"].save_weights(model_file) # Plot the validation and the training losses - if fitting.get('plot'): + if fitting.get("plot"): validation_object.plot() # print out the integration of the sum rule in case we want to check it's not broken diff --git a/n3fit/layers/DIS.py b/n3fit/layers/DIS.py index 44066a073d..891909cb41 100644 --- a/n3fit/layers/DIS.py +++ b/n3fit/layers/DIS.py @@ -1,20 +1,21 @@ import numpy as np from layers.Observable import Observable + class DIS(Observable): def gen_basis(self, basis): if basis is not None: - self.basis = np.zeros(self.nfl, dtype = bool) + self.basis = np.zeros(self.nfl, dtype=bool) for i in basis: self.basis[i] = True else: - self.basis = np.ones(self.nfl, dtype = bool) + self.basis = np.ones(self.nfl, dtype=bool) def call(self, pdf_in): - pdf_masked = self.boolean_mask(pdf_in, self.basis, axis = 1) + pdf_masked = self.boolean_mask(pdf_in, self.basis, axis=1) pdfT = self.transpose(pdf_masked) - result = self.tensor_product(self.fktable, pdfT, axes = 2) + result = self.tensor_product(self.fktable, pdfT, axes=2) return result diff --git a/n3fit/layers/DY.py b/n3fit/layers/DY.py index b795ddc241..ba344eeed5 100644 --- a/n3fit/layers/DY.py +++ b/n3fit/layers/DY.py @@ -4,7 +4,7 @@ class DY(Observable): def gen_basis(self, basis): - basis_to_pairs = basis.reshape(-1,2) + basis_to_pairs = basis.reshape(-1, 2) self.basis = basis_to_pairs self.basis_size = len(self.basis) @@ -14,27 +14,27 @@ def call(self, pdf_in): lumi_fun = [] pdfT = self.transpose(pdf_in) - for i,j in self.basis: - lumi_fun.append( self.tensor_product(pdfT[i], pdfT[j], axes = 0) ) + for i, j in self.basis: + lumi_fun.append(self.tensor_product(pdfT[i], pdfT[j], axes=0)) - pdfXpdf = self.concatenate( lumi_fun, axis = 0, - target_shape = (self.basis_size, self.xgrid_size, self.xgrid_size) ) + pdfXpdf = self.concatenate(lumi_fun, axis=0, target_shape=(self.basis_size, self.xgrid_size, self.xgrid_size)) - result = self.tensor_product(self.fktable, pdfXpdf, axes = 3) + result = self.tensor_product(self.fktable, pdfXpdf, axes=3) return result + class DY_mask(Observable): def gen_basis(self, basis): if basis is not None: - self.basis = np.zeros((self.nfl, self.nfl), dtype = bool) - for i,j in basis.reshape(-1,2): - self.basis[i,j] = True + self.basis = np.zeros((self.nfl, self.nfl), dtype=bool) + for i, j in basis.reshape(-1, 2): + self.basis[i, j] = True else: - self.basis = np.ones((self.nfl, self.nfl), dtype = bool) + self.basis = np.ones((self.nfl, self.nfl), dtype=bool) def call(self, pdf_in): - lfun = self.tensor_product(pdf_in, pdf_in, axes = 0) - lfunT = self.permute_dimensions(lfun, (3,1,2,0)) - x = self.boolean_mask(lfunT, self.basis, axis = 0) - result = self.tensor_product(self.fktable, x, axes = 3) + lfun = self.tensor_product(pdf_in, pdf_in, axes=0) + lfunT = self.permute_dimensions(lfun, (3, 1, 2, 0)) + x = self.boolean_mask(lfunT, self.basis, axis=0) + result = self.tensor_product(self.fktable, x, axes=3) return result diff --git a/n3fit/layers/Integration.py b/n3fit/layers/Integration.py index 07bb9d30e5..e85aa57389 100644 --- a/n3fit/layers/Integration.py +++ b/n3fit/layers/Integration.py @@ -1,17 +1,18 @@ from backends import MetaLayer + class xDivide(MetaLayer): """ Divide the pdf by x By default: dimension = 8 dividing the entries corresponding to v, v3, v8 """ - def __init__(self, output_dim = 8, div_list = None, size = 1000, **kwargs): + def __init__(self, output_dim=8, div_list=None, size=1000, **kwargs): if div_list is None: - div_list = [2,3,4] + div_list = [2, 3, 4] self.output_dim = output_dim self.div_list = div_list - self.one = self.tensor_ones( (size, 1) ) + self.one = self.tensor_ones((size, 1)) super(MetaLayer, self).__init__(**kwargs) def compute_output_shape(self, input_shape): @@ -21,25 +22,26 @@ def call(self, x): out_array = [] for i in range(self.output_dim): if i in self.div_list: - res = self.one/x + res = self.one / x else: res = self.one out_array.append(res) - out_tensor = self.concatenate(out_array, axis = 1) + out_tensor = self.concatenate(out_array, axis=1) return out_tensor + class xMultiply(MetaLayer): """ Multiply the pdf by x By default: dimension = 8 multiply all entries but v, v3, v8 """ - def __init__(self, output_dim = 8, div_list = None, size = 1000, **kwargs): + def __init__(self, output_dim=8, div_list=None, size=1000, **kwargs): if div_list is None: - div_list = [2,3,4] + div_list = [2, 3, 4] self.output_dim = output_dim self.div_list = div_list - self.one = self.tensor_ones( (size, 1) ) + self.one = self.tensor_ones((size, 1)) super(MetaLayer, self).__init__(**kwargs) def compute_output_shape(self, input_shape): @@ -51,60 +53,64 @@ def call(self, x): if i in self.div_list: res = self.one else: - res = self.one*x + res = self.one * x out_array.append(res) - out_tensor = self.concatenate(out_array, axis = 1) + out_tensor = self.concatenate(out_array, axis=1) return out_tensor + class xIntegrator(MetaLayer): """ This layer performs a sum of the input layer/tensor on the first axis """ - def __init__(self, grid_weights, output_dim = 8, **kwargs): + + def __init__(self, grid_weights, output_dim=8, **kwargs): grid_weights_tensor = self.np_to_tensor(grid_weights) # Open up the grid weights - self.grid_weights = self.many_replication(grid_weights_tensor, replications = 8, axis = 1) + self.grid_weights = self.many_replication(grid_weights_tensor, replications=8, axis=1) self.output_dim = output_dim super(MetaLayer, self).__init__(**kwargs) def compute_output_shape(self, input_shape): - return (self.output_dim, ) + return (self.output_dim,) def call(self, x): - xx = x*self.grid_weights - return self.sum(xx, axis = 0) + xx = x * self.grid_weights + return self.sum(xx, axis=0) class MSR_Normalization(MetaLayer): """ Applies the normalisation so that the PDF output fullfills the sum rules """ - def __init__(self, output_dim = 14, **kwargs): + + def __init__(self, output_dim=14, **kwargs): self.output_dim = output_dim - self.one = self.tensor_ones( (1, 1) ) - self.three = 3*self.tensor_ones( (1, 1) ) - super(MSR_Normalization, self).__init__(**kwargs, name = "normalizer") + self.one = self.tensor_ones((1, 1)) + self.three = 3 * self.tensor_ones((1, 1)) + super(MSR_Normalization, self).__init__(**kwargs, name="normalizer") def compute_output_shape(self, input_shape): - return (self.output_dim, ) - + return (self.output_dim,) def call(self, integrated): x = integrated - pdf_sr = self.concatenate([ - self.one, # photon - self.one, # sigma - (self.one - x[0])/x[1], # g - self.three/x[2], # v - self.one/x[3], # v3 - self.three/x[4], # v8 - self.three/x[2], # v15 - self.three/x[2], # v24 - self.three/x[2], # v35 - self.one, # t3 - self.one, # t8 - self.one, # t15 (c-) - self.one, # t24 - self.one, # t35 - ]) + pdf_sr = self.concatenate( + [ + self.one, # photon + self.one, # sigma + (self.one - x[0]) / x[1], # g + self.three / x[2], # v + self.one / x[3], # v3 + self.three / x[4], # v8 + self.three / x[2], # v15 + self.three / x[2], # v24 + self.three / x[2], # v35 + self.one, # t3 + self.one, # t8 + self.one, # t15 (c-) + self.one, # t24 + self.one, # t35 + ] + ) return pdf_sr diff --git a/n3fit/layers/Mask.py b/n3fit/layers/Mask.py index 6b62b60f4b..671424d9c9 100644 --- a/n3fit/layers/Mask.py +++ b/n3fit/layers/Mask.py @@ -1,23 +1,25 @@ import numpy as np from backends import MetaLayer + class Mask(MetaLayer): """ Mask is a layer used to apply both a boolean mask and a multiplier """ - def __init__(self, bool_mask, c = 1.0, **kwargs): + + def __init__(self, bool_mask, c=1.0, **kwargs): self.output_dim = np.count_nonzero(bool_mask) self.mask = bool_mask self.c = c super(MetaLayer, self).__init__(**kwargs) def build(self, input_shape): - initializer = MetaLayer.init_constant(value = self.c) - self.kernel = self.builder_helper("mask", (1,), initializer, trainable = False) + initializer = MetaLayer.init_constant(value=self.c) + self.kernel = self.builder_helper("mask", (1,), initializer, trainable=False) super(Mask, self).build(input_shape) def compute_output_shape(self, input_shape): return (self.output_dim, None) def call(self, prediction_in): - return self.boolean_mask(self.kernel*prediction_in, self.mask) + return self.boolean_mask(self.kernel * prediction_in, self.mask) diff --git a/n3fit/layers/Observable.py b/n3fit/layers/Observable.py index c08e69ab49..678473ac2e 100644 --- a/n3fit/layers/Observable.py +++ b/n3fit/layers/Observable.py @@ -1,6 +1,7 @@ import sys from backends import MetaLayer + class Observable(MetaLayer): """ This class is the parent of the DIS and DY convolutions. @@ -13,7 +14,8 @@ class Observable(MetaLayer): fktables and pdfs - call: this is what does the actual operation """ - def __init__(self, output_dim, fktable, basis = None, nfl = 14, **kwargs): + + def __init__(self, output_dim, fktable, basis=None, nfl=14, **kwargs): self.nfl = nfl self.output_dim = output_dim @@ -24,7 +26,6 @@ def __init__(self, output_dim, fktable, basis = None, nfl = 14, **kwargs): super(MetaLayer, self).__init__(**kwargs) - def compute_output_shape(self, input_shape): return (self.output_dim, None) diff --git a/n3fit/layers/Preprocessing.py b/n3fit/layers/Preprocessing.py index 5858937c3d..ee40f4e73c 100644 --- a/n3fit/layers/Preprocessing.py +++ b/n3fit/layers/Preprocessing.py @@ -1,9 +1,10 @@ from backends import MetaLayer BASIS_SIZE = 8 -class Preprocessing(MetaLayer): - def __init__(self, output_dim = BASIS_SIZE, trainable = True, flav_info = None, seed = 0, **kwargs): + +class Preprocessing(MetaLayer): + def __init__(self, output_dim=BASIS_SIZE, trainable=True, flav_info=None, seed=0, **kwargs): self.output_dim = output_dim self.trainable = trainable self.flav_info = flav_info @@ -16,51 +17,50 @@ def compute_output_shape(self, input_shape): def build(self, input_shape): self.kernel = [] for i in range(BASIS_SIZE * 2): - fl = int(i/2) - f = self.flav_info[fl]['fl'] + fl = int(i / 2) + f = self.flav_info[fl]["fl"] if i % 2: name = "beta_{0}".format(f) - kind = 'largex' + kind = "largex" else: name = "alfa_{0}".format(f) - kind = 'smallx' + kind = "smallx" limits = self.flav_info[fl][kind] lm = limits[0] lp = limits[1] - init = MetaLayer.select_initializer('random_uniform', minval = lm, maxval = lp, seed = self.seed + i) - const = self.constraint_MinMaxWeight(min_value = lm, max_value = lp) + init = MetaLayer.select_initializer("random_uniform", minval=lm, maxval=lp, seed=self.seed + i) + const = self.constraint_MinMaxWeight(min_value=lm, max_value=lp) nw = self.builder_helper( - name = name, - kernel_shape = (1,), - initializer = init, - trainable = self.trainable, - constraint = const - ) + name=name, kernel_shape=(1,), initializer=init, trainable=self.trainable, constraint=const + ) self.kernel.append(nw) super(Preprocessing, self).build(input_shape) def call(self, x): - pdf_raw = self.concatenate([ - x**(1-self.kernel[0][0])*(1-x)**self.kernel[1][0], # sigma - x**(1-self.kernel[2][0])*(1-x)**self.kernel[3][0], # g - x**(1-self.kernel[4][0])*(1-x)**self.kernel[5][0], # v - x**(1-self.kernel[6][0])*(1-x)**self.kernel[7][0], # v3 - x**(1-self.kernel[8][0])*(1-x)**self.kernel[9][0], # v8 - x**(1-self.kernel[10][0])*(1-x)**self.kernel[11][0], # t3 = sigma - x**(1-self.kernel[12][0])*(1-x)**self.kernel[13][0], # t8 = sigma - x**(1-self.kernel[14][0])*(1-x)**self.kernel[15][0] # t15 c- - ], axis = 1) + pdf_raw = self.concatenate( + [ + x ** (1 - self.kernel[0][0]) * (1 - x) ** self.kernel[1][0], # sigma + x ** (1 - self.kernel[2][0]) * (1 - x) ** self.kernel[3][0], # g + x ** (1 - self.kernel[4][0]) * (1 - x) ** self.kernel[5][0], # v + x ** (1 - self.kernel[6][0]) * (1 - x) ** self.kernel[7][0], # v3 + x ** (1 - self.kernel[8][0]) * (1 - x) ** self.kernel[9][0], # v8 + x ** (1 - self.kernel[10][0]) * (1 - x) ** self.kernel[11][0], # t3 = sigma + x ** (1 - self.kernel[12][0]) * (1 - x) ** self.kernel[13][0], # t8 = sigma + x ** (1 - self.kernel[14][0]) * (1 - x) ** self.kernel[15][0], # t15 c- + ], + axis=1, + ) return pdf_raw -class Rotation(MetaLayer): - def __init__(self, output_dim = 14, **kwargs): +class Rotation(MetaLayer): + def __init__(self, output_dim=14, **kwargs): self.output_dim = output_dim - super(MetaLayer, self).__init__(**kwargs, name = "evolution") + super(MetaLayer, self).__init__(**kwargs, name="evolution") def compute_output_shape(self, input_shape): return (input_shape[0], self.output_dim) @@ -68,20 +68,20 @@ def compute_output_shape(self, input_shape): def call(self, x_raw): x = self.transpose(x_raw) pdf_raw_list = [ - 0*x[0], # photon - x[0], # sigma - x[1], # g - x[2], # v - x[3], # v3 - x[4], # v8 - x[2], # v15 - x[2], # v24 - x[2], # v35 - x[5], # t3 - x[6], # t8 - x[0]-4*x[7], # t15 (c-) - x[0], # t24 - x[0], # t35 + 0 * x[0], # photon + x[0], # sigma + x[1], # g + x[2], # v + x[3], # v3 + x[4], # v8 + x[2], # v15 + x[2], # v24 + x[2], # v35 + x[5], # t3 + x[6], # t8 + x[0] - 4 * x[7], # t15 (c-) + x[0], # t24 + x[0], # t35 ] - pdf = self.concatenate( pdf_raw_list, target_shape = (self.output_dim, -1) ) + pdf = self.concatenate(pdf_raw_list, target_shape=(self.output_dim, -1)) return self.transpose(pdf) diff --git a/n3fit/model_gen.py b/n3fit/model_gen.py index efc86f23bc..90a4fb8f8e 100644 --- a/n3fit/model_gen.py +++ b/n3fit/model_gen.py @@ -17,8 +17,9 @@ from backends import base_layer_selector, concatenate, Lambda -def observable_generator(spec_dict, positivity_initial = None, positivity_multiplier = 1.05, - verbose = False, positivity_steps = 300): +def observable_generator( + spec_dict, positivity_initial=None, positivity_multiplier=1.05, verbose=False, positivity_steps=300 +): """ Receives a spec object (can be either a dataset or an experiment) Takes some optional arguments: @@ -33,128 +34,130 @@ def observable_generator(spec_dict, positivity_initial = None, positivity_multip - loss_function: one single loss function - exp_data: one single set of true data to compare to """ - spec_name = spec_dict['name'] + spec_name = spec_dict["name"] model_inputs = [] model_obs = [] # The first step is to generate an observable layer for each given datasets - for dataset_dict in spec_dict['datasets']: - dataname = dataset_dict['name'] + for dataset_dict in spec_dict["datasets"]: + dataname = dataset_dict["name"] # Choose which kind of observable are we dealing with, since this will define the convolution - if dataset_dict['hadronic']: + if dataset_dict["hadronic"]: Obs_Layer = DY else: Obs_Layer = DIS # Define the operation (if any) - op = operations.c_to_py_fun(dataset_dict['operation'], name = dataname) + op = operations.c_to_py_fun(dataset_dict["operation"], name=dataname) # Retrieve the list of fktables - fktable_list = dataset_dict['fktables'] + fktable_list = dataset_dict["fktables"] obs_list = [] input_list = [] # Now generate an input and output layer for each sub_obs of the dataset for i, fktable_dict in enumerate(fktable_list): # Input layer - input_layer = operations.numpy_to_input( fktable_dict['xgrid'].T ) + input_layer = operations.numpy_to_input(fktable_dict["xgrid"].T) input_list.append(input_layer) # Output layer - obs_layer = Obs_Layer( output_dim = fktable_dict['ndata'], - fktable = fktable_dict['fktable'], - basis = fktable_dict['basis'], - name = "{0}_{1}".format(dataname, i), - input_shape = (14,) ) - obs_list.append( (input_layer, obs_layer) ) + obs_layer = Obs_Layer( + output_dim=fktable_dict["ndata"], + fktable=fktable_dict["fktable"], + basis=fktable_dict["basis"], + name="{0}_{1}".format(dataname, i), + input_shape=(14,), + ) + obs_list.append((input_layer, obs_layer)) # Add the inputs to the lists of inputs of the model model_inputs += input_list # Append the combination of observable and the operation to be applied to the list of model_obs - model_obs.append( (op, obs_list) ) - - - + model_obs.append((op, obs_list)) def final_obs(pdf_layer): all_ops = [] for operation, observables in model_obs: all_obs = [] for i_layer, o_layer in observables: - all_obs.append( o_layer( pdf_layer( i_layer ) ) ) + all_obs.append(o_layer(pdf_layer(i_layer))) all_ops.append(operation(all_obs)) if len(all_ops) == 1: return all_ops[0] else: - return concatenate( all_ops, axis = 0, name = spec_name + "_full" ) + return concatenate(all_ops, axis=0, name=spec_name + "_full") - if spec_dict['positivity']: - max_lambda = spec_dict['lambda'] + if spec_dict["positivity"]: + max_lambda = spec_dict["lambda"] if not positivity_initial: - initial_lambda = max_lambda/pow(positivity_multiplier, positivity_steps) + initial_lambda = max_lambda / pow(positivity_multiplier, positivity_steps) else: initial_lambda = positivity_initial - out_tr_mask = Mask(bool_mask = spec_dict['trmask'], c = initial_lambda, name = spec_name) + out_tr_mask = Mask(bool_mask=spec_dict["trmask"], c=initial_lambda, name=spec_name) + def out_tr(pdf_layer): - return out_tr_mask( final_obs(pdf_layer) ) - layer_info = { - 'inputs' : model_inputs, - 'output_tr' : out_tr, - 'loss_tr' : losses.l_positivity() - } + return out_tr_mask(final_obs(pdf_layer)) + + layer_info = {"inputs": model_inputs, "output_tr": out_tr, "loss_tr": losses.l_positivity()} return layer_info # Now generate the mask layers to be applied to training and validation - out_tr_mask = Mask(bool_mask = spec_dict['trmask'], name = spec_name) - out_vl_mask = Mask(bool_mask = spec_dict['vlmask'], name = spec_name + "_val" ) - + out_tr_mask = Mask(bool_mask=spec_dict["trmask"], name=spec_name) + out_vl_mask = Mask(bool_mask=spec_dict["vlmask"], name=spec_name + "_val") def out_tr(pdf_layer): - return out_tr_mask( final_obs(pdf_layer) ) - def out_vl(pdf_layer): - return out_vl_mask( final_obs(pdf_layer) ) - + return out_tr_mask(final_obs(pdf_layer)) + def out_vl(pdf_layer): + return out_vl_mask(final_obs(pdf_layer)) # Generate the loss function as usual - invcovmat = spec_dict['invcovmat_true'] - loss = losses.l_invcovmat( invcovmat ) + invcovmat = spec_dict["invcovmat_true"] + loss = losses.l_invcovmat(invcovmat) - invcovmat_tr = spec_dict['invcovmat'] + invcovmat_tr = spec_dict["invcovmat"] loss_tr = losses.l_invcovmat(invcovmat_tr) - invcovmat_vl = spec_dict['invcovmat_vl'] + invcovmat_vl = spec_dict["invcovmat_vl"] loss_vl = losses.l_invcovmat(invcovmat_vl) layer_info = { - 'inputs' : model_inputs, - 'output' : final_obs, - 'loss' : loss, - 'output_tr' : out_tr, - 'loss_tr' : loss_tr, - 'output_vl' : out_vl, - 'loss_vl' : loss_vl, - } + "inputs": model_inputs, + "output": final_obs, + "loss": loss, + "output_tr": out_tr, + "loss_tr": loss_tr, + "output_vl": out_vl, + "loss_vl": loss_vl, + } return layer_info - -def pdfNN_layer_generator(inp = 2, - nodes = None, activations = None, initializer_name = 'glorot_normal', layer_type = 'dense', - flav_info = None, out = 14, seed = None, dropout = 0.0): +def pdfNN_layer_generator( + inp=2, + nodes=None, + activations=None, + initializer_name="glorot_normal", + layer_type="dense", + flav_info=None, + out=14, + seed=None, + dropout=0.0, +): """ Generates a NN that takes as input the xgrid value and outputs the basis of 14 PDFs fk tables use """ if nodes is None: - nodes = [15,8] + nodes = [15, 8] if activations is None: - activations = ['tanh', 'linear'] + activations = ["tanh", "linear"] # Safety check ln = len(nodes) la = len(activations) if ln > la: - activations = (ln-la)*['tanh'] + activations + activations = (ln - la) * ["tanh"] + activations print("Did not received enough activation functions, appending copies of the first activation foudn") elif la > ln: activations = activations[-ln:] @@ -163,21 +166,19 @@ def pdfNN_layer_generator(inp = 2, # If dropout == 0, don't add dropout layer if dropout == 0.0: dropme = -99 - else: # Add the dropout to the second to last layer - dropme = ln-2 + else: # Add the dropout to the second to last layer + dropme = ln - 2 # Layer generation dl = [] pre = inp for i, (units, activation) in enumerate(zip(nodes, activations)): if i == dropme and i != 0: - dl.append(base_layer_selector('dropout', rate = dropout)) + dl.append(base_layer_selector("dropout", rate=dropout)) - init = MetaLayer.select_initializer(initializer_name, seed=seed+i) + init = MetaLayer.select_initializer(initializer_name, seed=seed + i) - arguments = {'kernel_initializer' : init, 'units' : int(units), 'activation' : activation, - 'input_shape' : (pre,), - } + arguments = {"kernel_initializer": init, "units": int(units), "activation": activation, "input_shape": (pre,)} # Arguments that are not used by a given layer are just dropped tmpl = base_layer_selector(layer_type, **arguments) @@ -185,7 +186,8 @@ def pdfNN_layer_generator(inp = 2, pre = int(units) if inp == 2: - add_log = Lambda( lambda x: concatenate([x, operations.op_log(x)], axis = 1) ) + add_log = Lambda(lambda x: concatenate([x, operations.op_log(x)], axis=1)) + def dense_me(x): if inp == 1: curr_fun = dl[0](x) @@ -198,26 +200,26 @@ def dense_me(x): # Preprocessing layer (will be multiplied to the last of the denses) preproseed = seed + ln - layer_preproc = Preprocessing(input_shape = (1,), name = "pdf_prepro", flav_info = flav_info, seed = preproseed) + layer_preproc = Preprocessing(input_shape=(1,), name="pdf_prepro", flav_info=flav_info, seed=preproseed) # Evolution layer - layer_evln = Rotation(input_shape = (pre,), output_dim = out) + layer_evln = Rotation(input_shape=(pre,), output_dim=out) # Generate multiplier layer # multiplier = Multiply(name = "MultiplyPreproc") # Apply preprocessing def layer_fitbasis(x): - return operations.op_multiply( [dense_me(x), layer_preproc(x)] ) + return operations.op_multiply([dense_me(x), layer_preproc(x)]) # Rotation layer, changes from the 8-basis to the 14-basis def layer_pdf(x): - return layer_evln( layer_fitbasis(x) ) + return layer_evln(layer_fitbasis(x)) dict_layers = { - 'denses' : dense_me, # The set of the N dense layers - 'preprocessing' : layer_preproc, # The layer that applies preprocessing - 'fitbasis' : layer_fitbasis # Applied preprocessing to the output of the denses - } + "denses": dense_me, # The set of the N dense layers + "preprocessing": layer_preproc, # The layer that applies preprocessing + "fitbasis": layer_fitbasis, # Applied preprocessing to the output of the denses + } return layer_pdf, dict_layers diff --git a/n3fit/n3fit.py b/n3fit/n3fit.py index 8f4be78674..9ff1beb423 100755 --- a/n3fit/n3fit.py +++ b/n3fit/n3fit.py @@ -24,20 +24,22 @@ actions_ = ['datacuts::theory fit'] ) -N3FIT_PROVIDERS = ['fit'] +N3FIT_PROVIDERS = ["fit"] log = logging.getLogger(__name__) -RUNCARD_COPY_FILENAME = 'filter.yml' +RUNCARD_COPY_FILENAME = "filter.yml" class N3FitError(Exception): """Exception raised when n3fit cannot succeed and knows why""" + pass class N3FitEnvironment(Environment): """Container for information to be filled at run time""" + def init_output(self): # check file exists, is a file, has extension. if not self.config_yml.exists(): @@ -49,11 +51,11 @@ def init_output(self): # check if results folder exists self.output_path = pathlib.Path(self.output_path).absolute() if not self.output_path.exists(): - if not re.fullmatch(r'[\w.\-]+', self.output_path.name): + if not re.fullmatch(r"[\w.\-]+", self.output_path.name): raise N3FitError("Invalid output folder name. Must be alphanumeric.") try: self.output_path.mkdir() - pathlib.Path(self.output_path / 'nnfit').mkdir() + pathlib.Path(self.output_path / "nnfit").mkdir() except OSError as e: raise EnvironmentError_(e) from e @@ -63,24 +65,25 @@ def init_output(self): pass # create output folder for the fit - self.replica_path = self.output_path / 'nnfit' + self.replica_path = self.output_path / "nnfit" for replica in self.replica: - path = self.replica_path / 'replica_{0}'.format(replica) - log.info('Creating replica output folder in {0}'.format(path)) + path = self.replica_path / "replica_{0}".format(replica) + log.info("Creating replica output folder in {0}".format(path)) try: path.mkdir(exist_ok=True) except OSError as e: raise EnvironmentError_(e) from e - @classmethod def ns_dump_description(cls): - return {'replica': 'The MC replica number', - 'replica_path': 'The replica output path', - 'output_path': 'The runcard name', - 'hyperopt': 'The hyperopt flag', - 'create_test_card' : 'Create test card flag', - **super().ns_dump_description()} + return { + "replica": "The MC replica number", + "replica_path": "The replica output path", + "output_path": "The runcard name", + "hyperopt": "The hyperopt flag", + "create_test_card": "Create test card flag", + **super().ns_dump_description(), + } class N3FitConfig(Config): @@ -90,44 +93,40 @@ class N3FitConfig(Config): def from_yaml(cls, o, *args, **kwargs): try: with warnings.catch_warnings(): - warnings.simplefilter('ignore', - yaml.error.MantissaNoDotYAML1_1Warning) - #We need to specify the older version 1.1 to support the - #older configuration files, which liked to use on/off for - #booleans. - #The floating point parsing yields warnings everywhere, which - #we suppress. - file_content = yaml.safe_load(o, version='1.1') + warnings.simplefilter("ignore", yaml.error.MantissaNoDotYAML1_1Warning) + # We need to specify the older version 1.1 to support the + # older configuration files, which liked to use on/off for + # booleans. + # The floating point parsing yields warnings everywhere, which + # we suppress. + file_content = yaml.safe_load(o, version="1.1") except yaml.error.YAMLError as e: raise ConfigError(f"Failed to parse yaml file: {e}") if not isinstance(file_content, dict): - raise ConfigError(f"Expecting input runcard to be a mapping, " - f"not '{type(file_content)}'.") + raise ConfigError(f"Expecting input runcard to be a mapping, " f"not '{type(file_content)}'.") file_content.update(N3FIT_FIXED_CONFIG) return cls(file_content, *args, **kwargs) class N3FitApp(App): """The class which parsers and performs the fit""" + environment_class = N3FitEnvironment config_class = N3FitConfig def __init__(self): - super(N3FitApp, self).__init__(name='n3fit', - providers=N3FIT_PROVIDERS) + super(N3FitApp, self).__init__(name="n3fit", providers=N3FIT_PROVIDERS) @property def argparser(self): parser = super().argparser - parser.add_argument('-o', '--output', - help='Output folder and name of the fit', - default=None) - parser.add_argument('--hyperopt', - help='Enable hyperopt scan', - default=None, type=int) - parser.add_argument('--create_test_card', - help='Generates a new runcard where some datasets are only used for a test set (only hyperopt)', - action='store_true') + parser.add_argument("-o", "--output", help="Output folder and name of the fit", default=None) + parser.add_argument("--hyperopt", help="Enable hyperopt scan", default=None, type=int) + parser.add_argument( + "--create_test_card", + help="Generates a new runcard where some datasets are only used for a test set (only hyperopt)", + action="store_true", + ) def check_positive(value): ivalue = int(value) @@ -135,44 +134,42 @@ def check_positive(value): raise argparse.ArgumentTypeError("%s is an invalid positive int value." % value) return ivalue - parser.add_argument('replica', - help='MC replica number', type=check_positive) - parser.add_argument('-r', '--replica_range', - help = 'End of the range of replicas to compute', type=check_positive) + parser.add_argument("replica", help="MC replica number", type=check_positive) + parser.add_argument( + "-r", "--replica_range", help="End of the range of replicas to compute", type=check_positive + ) return parser def get_commandline_arguments(self, cmdline=None): args = super().get_commandline_arguments(cmdline) - if args['output'] is None: - args['output'] = pathlib.Path(args['config_yml']).stem + if args["output"] is None: + args["output"] = pathlib.Path(args["config_yml"]).stem return args def run(self): try: - self.environment.config_yml = pathlib.Path(self.args['config_yml']).absolute() - replica = self.args['replica'] - if self.args['replica_range']: - replicas = list(range(replica, self.args['replica_range']+1)) + self.environment.config_yml = pathlib.Path(self.args["config_yml"]).absolute() + replica = self.args["replica"] + if self.args["replica_range"]: + replicas = list(range(replica, self.args["replica_range"] + 1)) else: replicas = [replica] self.environment.replica = replicas - self.environment.hyperopt = self.args['hyperopt'] - if self.args['create_test_card']: + self.environment.hyperopt = self.args["hyperopt"] + if self.args["create_test_card"]: self.environment.create_test_card = self.environment.config_yml else: self.environment.create_test_card = None super().run() except N3FitError as e: - log.error(f'Error in n3fit:\n{e}') + log.error(f"Error in n3fit:\n{e}") sys.exit(1) except Exception as e: - log.critical(f'Bug in n3fit ocurred. Please report it.') - print( - colors.color_exception(e.__class__, e, e.__traceback__), - file=sys.stderr) + log.critical(f"Bug in n3fit ocurred. Please report it.") + print(colors.color_exception(e.__class__, e, e.__traceback__), file=sys.stderr) sys.exit(1) -if __name__ == '__main__': +if __name__ == "__main__": a = N3FitApp() a.main() diff --git a/n3fit/plotting.py b/n3fit/plotting.py index 9250b36583..cafa5ba308 100755 --- a/n3fit/plotting.py +++ b/n3fit/plotting.py @@ -14,9 +14,9 @@ import matplotlib.pyplot as plt import seaborn as sns -warnings.simplefilter(action = 'ignore', category = FutureWarning) -regex_op = re.compile(r'[^\w^\.]+') -regex_not_op = re.compile(r'[\w\.]+') +warnings.simplefilter(action="ignore", category=FutureWarning) +regex_op = re.compile(r"[^\w^\.]+") +regex_not_op = re.compile(r"[\w\.]+") keywords = { 'id' : 'iteration', @@ -77,22 +77,21 @@ def optimizer_parse(trial, dict_out): initializer dropout """ - opt = trial['misc']['space_vals'][keywords['optimizer']] + opt = trial["misc"]["space_vals"][keywords["optimizer"]] if isinstance(opt, dict): # if it is a dict the optimizer includes extra information - name = opt[keywords['optimizer']] - lr = opt[keywords['lr']] + name = opt[keywords["optimizer"]] + lr = opt[keywords["lr"]] else: name = opt lr = None - ini = trial['misc']['space_vals'][keywords['initializer']] - dropout_rate = trial['misc']['space_vals'][keywords['dropout']] + ini = trial["misc"]["space_vals"][keywords["initializer"]] + dropout_rate = trial["misc"]["space_vals"][keywords["dropout"]] - - dict_out[keywords['optimizer']] = name - dict_out[keywords['lr']] = lr - dict_out[keywords['initializer']] = ini - dict_out[keywords['dropout']] = dropout_rate + dict_out[keywords["optimizer"]] = name + dict_out[keywords["lr"]] = lr + dict_out[keywords["initializer"]] = ini + dict_out[keywords["dropout"]] = dropout_rate def architecture_parser(trial, dict_out): @@ -105,28 +104,27 @@ def architecture_parser(trial, dict_out): l1, l2, l3, l4... max_layers layer_type """ - nodes_per_layer = trial['misc']['space_vals'][keywords['nodes']] + nodes_per_layer = trial["misc"]["space_vals"][keywords["nodes"]] nl = len(nodes_per_layer) - 1 - activation_name = trial['misc']['space_vals'][keywords['activation']][0] - architecture = trial['misc']['space_vals'][keywords['architecture']] + activation_name = trial["misc"]["space_vals"][keywords["activation"]][0] + architecture = trial["misc"]["space_vals"][keywords["architecture"]] - dict_out[keywords['nodes']] = nodes_per_layer - dict_out[keywords['nl']] = nl - dict_out[keywords['activation']] = activation_name - dict_out[keywords['architecture']] = architecture + dict_out[keywords["nodes"]] = nodes_per_layer + dict_out[keywords["nl"]] = nl + dict_out[keywords["activation"]] = activation_name + dict_out[keywords["architecture"]] = architecture # In principle we might be checking any number of layers, # so it is important to make sure that the maximum number of layers # (which will be used at plotting time) is correct - if nl > keywords['max_layers']: - keywords['max_layers'] = nl - + if nl > keywords["max_layers"]: + keywords["max_layers"] = nl - for i in range(keywords['max_layers']): - dict_out['layer_{0}'.format(i+1)] = None + for i in range(keywords["max_layers"]): + dict_out["layer_{0}".format(i + 1)] = None for i, nodes in enumerate(nodes_per_layer[:-1]): - dict_out['layer_{0}'.format(i+1)] = nodes + dict_out["layer_{0}".format(i + 1)] = nodes def stopping_parser(trial, dict_out): @@ -139,27 +137,27 @@ def stopping_parser(trial, dict_out): pos_multiplier """ - epochs = trial['misc']['space_vals'][keywords['epochs']] - patience = trial['misc']['space_vals'][keywords['stp']] - stop_ep = patience*epochs - positivity_initial = trial['misc']['space_vals'][keywords['p_ini']] - positivity_multiplier = trial['misc']['space_vals'][keywords['p_mul']] + epochs = trial["misc"]["space_vals"][keywords["epochs"]] + patience = trial["misc"]["space_vals"][keywords["stp"]] + stop_ep = patience * epochs + positivity_initial = trial["misc"]["space_vals"][keywords["p_ini"]] + positivity_multiplier = trial["misc"]["space_vals"][keywords["p_mul"]] - dict_out[keywords['epochs']] = epochs - dict_out[keywords['stp']] = patience - dict_out[keywords['ste']] = stop_ep - dict_out[keywords['p_ini']] = positivity_initial - dict_out[keywords['p_mul']] = positivity_multiplier + dict_out[keywords["epochs"]] = epochs + dict_out[keywords["stp"]] = patience + dict_out[keywords["ste"]] = stop_ep + dict_out[keywords["p_ini"]] = positivity_initial + dict_out[keywords["p_mul"]] = positivity_multiplier -def stat_parser(trial, dict_out, threshold = 1e3, val_f = 0.5, **kwargs): +def stat_parser(trial, dict_out, threshold=1e3, val_f=0.5, **kwargs): """ Parser the stats information of the trial, the losses, the failures, etc """ test_f = 1.0 - val_f - validation_loss = trial['result'][keywords['vl']] - testing_loss = trial['result'][keywords['tl']] - loss = validation_loss*val_f + testing_loss*test_f + validation_loss = trial["result"][keywords["vl"]] + testing_loss = trial["result"][keywords["tl"]] + loss = validation_loss * val_f + testing_loss * test_f if testing_loss < threshold and validation_loss < threshold: good_result = True @@ -167,19 +165,19 @@ def stat_parser(trial, dict_out, threshold = 1e3, val_f = 0.5, **kwargs): good_result = False # Was this a ok run? - if trial['result']['status'] != 'ok': + if trial["result"]["status"] != "ok": ok = False else: ok = good_result if not good_result: # Set bad results to be an order of magnitude above everything else - loss = threshold*10 + loss = threshold * 10 - dict_out[keywords['good']] = ok - dict_out[keywords['loss']] = loss - dict_out[keywords['vl']] = validation_loss - dict_out[keywords['tl']] = testing_loss + dict_out[keywords["good"]] = ok + dict_out[keywords["loss"]] = loss + dict_out[keywords["vl"]] = validation_loss + dict_out[keywords["tl"]] = testing_loss def filter_by_string(data_dict, filter_string): @@ -199,7 +197,7 @@ def filter_by_string(data_dict, filter_string): filter_key = keywords[filter_key] val_check = data_dict[filter_key] - if val_check is None: # NaN means it does not apply + if val_check is None: # NaN means it does not apply return True operator = regex_op.findall(filter_string)[0] @@ -214,7 +212,7 @@ def filter_by_string(data_dict, filter_string): if isinstance(val_check, str) and isinstance(filter_val, str): check_str = '"{0}"{1}"{2}"' else: - check_str = '{0}{1}{2}' + check_str = "{0}{1}{2}" try: return eval(check_str.format(val_check, operator, filter_val)) except: @@ -222,17 +220,15 @@ def filter_by_string(data_dict, filter_string): # General parsing -def trial_parser(trial, filter_me = None, **kwargs): +def trial_parser(trial, filter_me=None, **kwargs): """ Trials are very convoluted object, very branched inside The goal of this function is to separate said branching so we can create hierarchies """ # Is this a true trial - if trial['state'] != 2: + if trial["state"] != 2: return None - - data_dict = {} # Parse all information in easy to use dictionaries optimizer_parse(trial, data_dict) @@ -240,7 +236,6 @@ def trial_parser(trial, filter_me = None, **kwargs): stopping_parser(trial, data_dict) stat_parser(trial, data_dict, **kwargs) - # If a filter is set, check whether the trial pass the filter if filter_me: for filter_str in filter_me: @@ -249,6 +244,7 @@ def trial_parser(trial, filter_me = None, **kwargs): return data_dict + def filter_trials(input_trials, **kwargs): """ Applies the search algorithm to all the different trials to find the true best model @@ -262,7 +258,7 @@ def filter_trials(input_trials, **kwargs): trial_dict = trial_parser(trial, **kwargs) if trial_dict is None: continue - trial_dict[keywords['id']] = tid + trial_dict[keywords["id"]] = tid full_info.append(trial_dict) return full_info @@ -279,6 +275,7 @@ def order_axis(df, bestdf, key): best_x = np.array([str(best_x_lst[0])]) return ordering_true, best_x + def plot_scans(df, best_df, outfile): """ This function plots all trials in a nice multiplot @@ -287,73 +284,78 @@ def plot_scans(df, best_df, outfile): print("All trials:") print(df) - print('Best setup:') - with pd.option_context('display.max_rows', None, 'display.max_columns', None): + print("Best setup:") + with pd.option_context("display.max_rows", None, "display.max_columns", None): print(best_df) # Append extra keys for the number of possible layers - for i in range(keywords['max_layers']): - plotting_keys.append( ('layer_{0}'.format(i+1),4) ) - + for i in range(keywords["max_layers"]): + plotting_keys.append(("layer_{0}".format(i + 1), 4)) # Create a grid of plots nplots = len(plotting_keys) - _, axs = plt.subplots(4, nplots//4, sharey=True, figsize=(30,30)) + _, axs = plt.subplots(4, nplots // 4, sharey=True, figsize=(30, 30)) # Set the quantity we will be plotting in the y axis - loss_k = keywords['loss'] + loss_k = keywords["loss"] for ax, key_tuple in zip(axs.reshape(-1), plotting_keys): key = key_tuple[0] mode = key_tuple[1] - if mode == 0 or mode == 2: # normal scatter plot - ax = sns.scatterplot(x = key, y = loss_k, data = df, ax = ax) + if mode == 0 or mode == 2: # normal scatter plot + ax = sns.scatterplot(x=key, y=loss_k, data=df, ax=ax) best_x = best_df.get(key) if mode == 2: - ax.set_xscale('log') - ax.set_xlim( key_tuple[2] ) + ax.set_xscale("log") + ax.set_xlim(key_tuple[2]) elif mode == 1: ordering_true, best_x = order_axis(df, best_df, key=key) - ax = sns.violinplot(x=key, y=loss_k, data=df, ax=ax, palette="Set2",cut=0.0, order= ordering_true) + ax = sns.violinplot(x=key, y=loss_k, data=df, ax=ax, palette="Set2", cut=0.0, order=ordering_true) ax = sns.stripplot(x=key, y=loss_k, data=df, ax=ax, color="gray", order=ordering_true, alpha=0.4) elif mode == 4: # The nodes per layer is a special case because we want to know to # which total number of layers they correspond - ordering_true, _ = order_axis(df, best_df, key=keywords['nl']) + ordering_true, _ = order_axis(df, best_df, key=keywords["nl"]) best_x = best_df.get(key) for l in ordering_true: - plot_data = df[df[keywords['nl']] == l] - label = 'layers = {0}'.format(l) - ax = sns.scatterplot(x = key, y=loss_k, data=plot_data, ax=ax, label=label) + plot_data = df[df[keywords["nl"]] == l] + label = "layers = {0}".format(l) + ax = sns.scatterplot(x=key, y=loss_k, data=plot_data, ax=ax, label=label) ax.legend() # Finally plot the "best" one, which will be first - ax = sns.scatterplot(x = best_x, y = best_df.get(loss_k), ax = ax, color = 'orange', marker='s') - ax.set_ylabel('Loss') + ax = sns.scatterplot(x=best_x, y=best_df.get(loss_k), ax=ax, color="orange", marker="s") + ax.set_ylabel("Loss") ax.set_xlabel(key) - plt.savefig(f'{outfile}', bbox_inches="tight") + plt.savefig(f"{outfile}", bbox_inches="tight") + -def draw_histogram(dataframe, key, plotable = 'loss', columns = 2): +def draw_histogram(dataframe, key, plotable="loss", columns=2): values = set(dataframe[key]) nv = len(values) - rows = np.ceil(nv/columns) + rows = np.ceil(nv / columns) for i, value in enumerate(values): - plt.subplot(rows, columns, i+1) - data = dataframe[ dataframe[key] == value ] + plt.subplot(rows, columns, i + 1) + data = dataframe[dataframe[key] == value] plt.hist(data[plotable], 20) plt.xlabel(value) plt.show() -def print_stats(dataframe, - stats_keys = ['optimizer', 'nl', 'initializer', 'activation'], - n_combinations = 2, verbose = True, return_early = False, - how_many_to_kill = 2, remove_by_key = False, save_n_best = 10, - **kwargs - ): +def print_stats( + dataframe, + stats_keys=["optimizer", "nl", "initializer", "activation"], + n_combinations=2, + verbose=True, + return_early=False, + how_many_to_kill=2, + remove_by_key=False, + save_n_best=10, + **kwargs, +): """ Print statistics on failure rates, averages and so """ @@ -368,37 +370,41 @@ def read_key(key): else: key_name = key return key_name + def kclean(l): return [read_key(i) for i in l] + def remove_key(dictionary, key): new_d = dictionary.copy() new_d.pop(key) return new_d + def gen_key_info(full_dataframe, keys): key_info = {} for key_name in keys: all_possible_values = full_dataframe[key_name] - remove_nans = filter(lambda x: x==x, all_possible_values) + remove_nans = filter(lambda x: x == x, all_possible_values) remove_duplicates = sorted(list(set(remove_nans))) if remove_duplicates: key_info[key_name] = remove_duplicates return key_info + def get_slice(full_dataframe, key, value): - return full_dataframe[ full_dataframe[key] == value ] + return full_dataframe[full_dataframe[key] == value] from HyperAlgorithm import HyperAlgorithm - keys_lv_0 = kclean(['optimizer', 'number_of_layers']) - keys_lv_1 = kclean(['epochs', 'stopping_patience', 'activation']) - keys_lv_2 = kclean(['p_mul', 'p_ini', 'learning_rate']) + keys_lv_0 = kclean(["optimizer", "number_of_layers"]) + keys_lv_1 = kclean(["epochs", "stopping_patience", "activation"]) + keys_lv_2 = kclean(["p_mul", "p_ini", "learning_rate"]) keys_for_removal = keys_lv_0 + keys_lv_1 key_info_full = gen_key_info(dataframe, keys_for_removal) - hypalg = HyperAlgorithm(key_info = key_info_full) + hypalg = HyperAlgorithm(key_info=key_info_full) trim_dataframe = hypalg.remove_failing(dataframe) key_info_trim = gen_key_info(trim_dataframe, keys_for_removal) - hypalg = HyperAlgorithm(key_info = key_info_trim) + hypalg = HyperAlgorithm(key_info=key_info_trim) decision_tree = {} @@ -409,7 +415,7 @@ def get_slice(full_dataframe, key, value): full_slice = get_slice(trim_dataframe, key_0, val) trim_slice = hypalg.remove_failing(full_slice) for key in keys_for_removal[1:]: - trim_slice = hypalg.remove_failing(trim_slice, key = key, fail_threshold = 0.0) + trim_slice = hypalg.remove_failing(trim_slice, key=key, fail_threshold=0.0) # At this point I've already removed the worst worst ones, now we can create the "decision_tree" tree_key_info = gen_key_info(trim_slice, keys_lv_0[0:]) decision_tree[val] = (tree_key_info, trim_slice) @@ -419,90 +425,96 @@ def get_slice(full_dataframe, key, value): final_decision_tree = {} key_1 = keys_lv_0[1] - for val_0, info in decision_tree.items(): + for val_0, info in decision_tree.items(): keys = info[0] f_slice = info[1] options_1 = keys[key_1] - if verbose: print("For {0}, accepted options are: {1}={2}".format(val_0, key_1, options_1)) + if verbose: + print("For {0}, accepted options are: {1}={2}".format(val_0, key_1, options_1)) final_decision_tree[val_0] = {} for val in options_1: print(val) trim_slice = get_slice(f_slice, key_1, val) for key_name in keys_for_removal[2:]: - trim_slice = hypalg.remove_failing(trim_slice, key = key_name, fail_threshold = 0.0, verbose = False) + trim_slice = hypalg.remove_failing(trim_slice, key=key_name, fail_threshold=0.0, verbose=False) # Save the final slice for this branch of the tree final_decision_tree[val_0][val] = trim_slice # Now for each branch let's look at the rewards final_answer = {} for val_0, item_0 in final_decision_tree.items(): - if verbose: print("For {0}".format(val_0)) + if verbose: + print("For {0}".format(val_0)) final_answer[val_0] = {} for val_1, item_1 in item_0.items(): - if verbose: print("\n\nFor {0}".format(val_1)) + if verbose: + print("\n\nFor {0}".format(val_1)) # Now remove half of the combinations but only looking at the level_1 keys key_info_lv1 = gen_key_info(item_1, keys_lv_1) - falg = HyperAlgorithm(key_info = key_info_lv1) + falg = HyperAlgorithm(key_info=key_info_lv1) n1 = len(key_info_lv1) - trim_slice = falg.remove_failing(item_1, n_combinations = n1, - fail_threshold = 'median', verbose = False) + trim_slice = falg.remove_failing(item_1, n_combinations=n1, fail_threshold="median", verbose=False) # Now do the same with the level 2, remove the worst half key_info_lv2 = gen_key_info(trim_slice, keys_lv_2) - falg = HyperAlgorithm(key_info = key_info_lv2) + falg = HyperAlgorithm(key_info=key_info_lv2) n2 = len(key_info_lv2) - final_slice = falg.remove_failing(trim_slice, n_combinations = n2, - fail_threshold = 'median', verbose = False) + final_slice = falg.remove_failing(trim_slice, n_combinations=n2, fail_threshold="median", verbose=False) # Now print the ranges print_ranges = keys_lv_1 + keys_lv_2 - print(""" + print( + """ For {0} = {1} - {2} = {3}""".format(key_0, val_0, key_1, val_1)) - palg = HyperAlgorithm(key_info = gen_key_info(final_slice, print_ranges)) - palg.print_ranges(final_slice, dataframe_original = item_1) + {2} = {3}""".format( + key_0, val_0, key_1, val_1 + ) + ) + palg = HyperAlgorithm(key_info=gen_key_info(final_slice, print_ranges)) + palg.print_ranges(final_slice, dataframe_original=item_1) return - - - - #key_priority_raw = ["architecture", "optimizer", "number_of_layers", "epochs", "activation"] - key_priority_raw = ["optimizer", "epochs", "number_of_layers", "learning_rate", "activation", "layer_1", "layer_2", "layer_3"] - key_priority = [ read_key(i) for i in key_priority_raw ] + # key_priority_raw = ["architecture", "optimizer", "number_of_layers", "epochs", "activation"] + key_priority_raw = [ + "optimizer", + "epochs", + "number_of_layers", + "learning_rate", + "activation", + "layer_1", + "layer_2", + "layer_3", + ] + key_priority = [read_key(i) for i in key_priority_raw] # Now, for each key we need to get all the possible options key_info = gen_key_info(dataframe) # Now that we have all the options we need to go in priority order - - - # 1. Remove the failing entries (i.e., reward == failing reward) - hypalg = HyperAlgorithm(key_info = key_info) + hypalg = HyperAlgorithm(key_info=key_info) trim_dataframe = hypalg.remove_failing(dataframe) # 1.b Regenerate key_info key_info = gen_key_info(trim_dataframe) # 2. Now fix the optimizer and continue - key_0 = key_priority[0] # optimizer + key_0 = key_priority[0] # optimizer options_0 = key_info[key_0] key_info_0 = remove_key(key_info, key_0) - hypalg = HyperAlgorithm(key_info = key_info_0) + hypalg = HyperAlgorithm(key_info=key_info_0) for val in options_0: print("\n\n") print(val) - f_slice = trim_dataframe[ trim_dataframe[key_0] == val ] + f_slice = trim_dataframe[trim_dataframe[key_0] == val] # First remove all failing keys trim_slice = hypalg.remove_failing(f_slice) for key_name in key_priority[1:]: print(">") print(key_name) - trim_slice = hypalg.remove_failing(trim_slice, key = key_name, fail_threshold = 0.0) - hypalg.print_ranges(trim_slice, dataframe_original = f_slice) - + trim_slice = hypalg.remove_failing(trim_slice, key=key_name, fail_threshold=0.0) + hypalg.print_ranges(trim_slice, dataframe_original=f_slice) set_trace() - # Create a key_info dict with one entry removed for each key key_infos = [] last_k = key_info @@ -510,17 +522,14 @@ def get_slice(full_dataframe, key, value): last_k = remove_key(last_k, key_name) key_infos.append(last_k) - - - key_0 = key_priority[0] options_0 = key_info[key_0] slices_0 = [] - key_info_0 = { key_priority[1] : key_info[key_priority[1]] } - hyperalg_0 = HyperAlgorithm(key_info = key_info) + key_info_0 = {key_priority[1]: key_info[key_priority[1]]} + hyperalg_0 = HyperAlgorithm(key_info=key_info) hyperalg_0.check_wrapper_weaklings_killer(dataframe, 1) for option_0 in options_0: - slices_0.append(dataframe[ dataframe[key_0] == option_0 ]) + slices_0.append(dataframe[dataframe[key_0] == option_0]) for slice_0 in slices_0: # check the rewards, if some are particularly bad, kill them _ = hyperalg_0.check_wrapper_weaklings_killer(slice_0, 1) @@ -531,38 +540,32 @@ def get_slice(full_dataframe, key, value): # y asi set_trace() - - - - - - - def print_me(string): if verbose: print(string) def kill_val(key, name): - dataframe.loc[ dataframe[key] == name, keywords['good'] ] = False + dataframe.loc[dataframe[key] == name, keywords["good"]] = False def process_slice(df_slice): """ Function to process a slice into a dictionary with interesting stats """ md = {} - good = df_slice[ df_slice[keywords['good']] ] - md['n_total'] = len(df_slice) - md['n_good'] = len(good) - md['n_failed'] = md['n_total'] - md['n_good'] - if md['n_total'] == 0: + good = df_slice[df_slice[keywords["good"]]] + md["n_total"] = len(df_slice) + md["n_good"] = len(good) + md["n_failed"] = md["n_total"] - md["n_good"] + if md["n_total"] == 0: f_rate = None else: - f_rate = md['n_failed']/md['n_total']*100 - md['f_rate'] = f_rate + f_rate = md["n_failed"] / md["n_total"] * 100 + md["f_rate"] = f_rate # Compute for each the best loss (among the good ones) and the std dev - good_losses = good[ keywords['loss'] ] - md['best_loss'] = good_losses.min() - md['std'] = good_losses.std() + good_losses = good[keywords["loss"]] + md["best_loss"] = good_losses.min() + md["std"] = good_losses.std() return md + ############################### # Parse the keys into a dict of { 'keyname' : [possible, values] } @@ -580,7 +583,10 @@ def process_slice(df_slice): key_info[key_name] = possible_values from HyperAlgorithm import HyperAlgorithm - hyperalg = HyperAlgorithm(key_info = key_info, fail_threshold=65, how_many_to_kill = how_many_to_kill, remove_by_key = remove_by_key ) + + hyperalg = HyperAlgorithm( + key_info=key_info, fail_threshold=65, how_many_to_kill=how_many_to_kill, remove_by_key=remove_by_key + ) # First run over all keys and print_me the information for them to see the general picture @@ -593,24 +599,26 @@ def process_slice(df_slice): set_trace() new_dataframe = hyperalg.check_wrapper_weaklings_killer(new_dataframe, 3) - -# for i in range(1, n_combinations): -# new_dataframe = hyperalg.check_wrapper(new_dataframe, i, kill = True) + # for i in range(1, n_combinations): + # new_dataframe = hyperalg.check_wrapper(new_dataframe, i, kill = True) # For the last one, only the n_best surviv - new_dataframe = hyperalg.check_wrapper(new_dataframe, n_combinations, kill = True, save_n_best = save_n_best) + new_dataframe = hyperalg.check_wrapper(new_dataframe, n_combinations, kill=True, save_n_best=save_n_best) # Finally print the survivors - hyperalg.print_ranges(new_dataframe, dataframe_original = dataframe) + hyperalg.print_ranges(new_dataframe, dataframe_original=dataframe) + # Wrapper -def generate_scan_report_from_file(replica_path, json_name = "tries.json", include_failures = False, histogram = None, stats = False, **kwargs): +def generate_scan_report_from_file( + replica_path, json_name="tries.json", include_failures=False, histogram=None, stats=False, **kwargs +): """ Read json file and generate a the corresponding scan report """ filename = "{0}/{1}".format(replica_path, json_name) # Open the file and reads it as a json - with open(filename, 'r') as jlist: + with open(filename, "r") as jlist: input_trials = json.load(jlist) # Read all trials and create a list of dictionaries @@ -628,23 +636,19 @@ def generate_scan_report_from_file(replica_path, json_name = "tries.json", inclu if include_failures: dataframe = dataframe_raw else: - dataframe = dataframe_raw[ dataframe_raw['good'] ] - - + dataframe = dataframe_raw[dataframe_raw["good"]] # Now select the best one best_idx = dataframe.loss.idxmin() best_trial = dataframe.ix[best_idx] # Select it in this a bit more complicatted way for the plotting code to work ???? - best_trial = dataframe[ dataframe[keywords['id']] == best_trial.get(keywords['id'])] + best_trial = dataframe[dataframe[keywords["id"]] == best_trial.get(keywords["id"])] if histogram: draw_histogram(dataframe, histogram) - - # Plot the plot - fileout = f'{replica_path}/scan.pdf' + fileout = f"{replica_path}/scan.pdf" plot_scans(dataframe, best_trial, fileout) print("Plot saved at {0}".format(fileout)) @@ -678,16 +682,17 @@ def generate_scan_report_from_file(replica_path, json_name = "tries.json", inclu for json_path in all_json: replica_path = os.path.dirname(json_path) - generate_scan_report_from_file(replica_path, - val_f = args.val_multiplier, - include_failures = args.include_failures, - threshold = args.threshold, - histogram = args.histogram, - filter_me = args.filter, - stats = args.stats, - stats_keys = args.stats_keys, - n_combinations = args.ncombinations, - how_many_to_kill = args.n_to_remove, - remove_by_key = args.remove_by_key, - save_n_best = args.save_n_best, - ) + generate_scan_report_from_file( + replica_path, + val_f=args.val_multiplier, + include_failures=args.include_failures, + threshold=args.threshold, + histogram=args.histogram, + filter_me=args.filter, + stats=args.stats, + stats_keys=args.stats_keys, + n_combinations=args.ncombinations, + how_many_to_kill=args.n_to_remove, + remove_by_key=args.remove_by_key, + save_n_best=args.save_n_best, + ) diff --git a/n3fit/reader.py b/n3fit/reader.py index 5d82bc7bd2..4fc45a3475 100644 --- a/n3fit/reader.py +++ b/n3fit/reader.py @@ -9,9 +9,10 @@ from validphys.core import ExperimentSpec as vp_Exp from validphys.core import DataSetSpec as vp_Dataset + def make_tr_val_mask(datasets, exp_name, seed): # Set the seed for the experiment - nameseed = int(hashlib.sha256(exp_name.encode()).hexdigest(), 16) % 10**8 + nameseed = int(hashlib.sha256(exp_name.encode()).hexdigest(), 16) % 10 ** 8 nameseed += seed np.random.seed(nameseed) @@ -31,7 +32,8 @@ def make_tr_val_mask(datasets, exp_name, seed): return trmask, vlmask -def fk_parser(fk, is_hadronic = False): + +def fk_parser(fk, is_hadronic=False): """ Input: fktable object Output: @@ -42,7 +44,7 @@ def fk_parser(fk, is_hadronic = False): # Dimensional information nonzero = fk.GetNonZero() - ndata = fk.GetNData() + ndata = fk.GetNData() nx = fk.GetTx() # Basis of active flavours @@ -66,27 +68,27 @@ def fk_parser(fk, is_hadronic = False): l = len(fktable_flat) # get the padding pad_position = fk.GetDSz() - pad_size = fk.GetDSz() - nx*nonzero + pad_size = fk.GetDSz() - nx * nonzero # remove the padding if pad_size > 0: mask = np.ones(l, dtype=bool) - for i in range(1, int(l/pad_position) + 1 ): - marker = pad_position*i - mask[ marker-pad_size : marker ] = False + for i in range(1, int(l / pad_position) + 1): + marker = pad_position * i + mask[marker - pad_size : marker] = False fktable_array = fktable_flat[mask] else: fktable_array = fktable_flat # reshape - fktable = fktable_array.reshape( shape_out ) + fktable = fktable_array.reshape(shape_out) dict_out = { - 'ndata' : ndata, - 'nbasis': nbasis, - 'nonzero': nbasis, - 'basis' : basis, - 'nx' : nx, - 'xgrid': xgrid, - 'fktable' : fktable, + "ndata": ndata, + "nbasis": nbasis, + "nonzero": nbasis, + "basis": basis, + "nx": nx, + "xgrid": xgrid, + "fktable": fktable, } return dict_out @@ -115,13 +117,13 @@ def common_data_reader_dataset(dataset_c, dataset_spec): dict_fktables.append(fk_parser(fktable, dataset_c.IsHadronic())) dataset_dict = { - 'fktables' : dict_fktables , - 'hadronic' : dataset_c.IsHadronic(), - 'operation' : dataset_spec.op, - 'name' : dataset_c.GetSetName(), - 'frac' : dataset_spec.frac, - 'ndata' : dataset_c.GetNData() - } + "fktables": dict_fktables, + "hadronic": dataset_c.IsHadronic(), + "operation": dataset_spec.op, + "name": dataset_c.GetSetName(), + "frac": dataset_spec.frac, + "ndata": dataset_c.GetNData(), + } return [dataset_dict] @@ -133,8 +135,7 @@ def common_data_reader_experiment(experiment_c, experiment_spec): return parsed_datasets - -def common_data_reader(spec, t0pdfset, replica_seeds = None, trval_seeds = None): +def common_data_reader(spec, t0pdfset, replica_seeds=None, trval_seeds=None): """ Wrapper to read the information from validphys object This function receives either a validphyis experiment or dataset objects @@ -161,25 +162,24 @@ def common_data_reader(spec, t0pdfset, replica_seeds = None, trval_seeds = None) ndata = spec_c.GetNData() expdata_true = spec_c.get_cv().reshape(1, ndata) spec_c.SetT0(t0pdfset) - base_mcseed = int(hashlib.sha256(str(spec).encode()).hexdigest(), 16) % 10**8 + base_mcseed = int(hashlib.sha256(str(spec).encode()).hexdigest(), 16) % 10 ** 8 if replica_seeds: all_expdatas = [] else: all_expdatas = [expdata_true.reshape(ndata)] - for replica_seed in replica_seeds: spec_replica = copy.deepcopy(spec) - spec_replica_c = spec_replica.load() # I might need the t0 set here as well + spec_replica_c = spec_replica.load() # I might need the t0 set here as well # Replica generation mcseed = base_mcseed + replica_seed RandomGenerator.InitRNG(0, mcseed) spec_replica_c.MakeReplica() - all_expdatas.append( spec_replica_c.get_cv() ) + all_expdatas.append(spec_replica_c.get_cv()) - #spec_c = spec_replica_c + # spec_c = spec_replica_c if isinstance(spec, vp_Exp): datasets = common_data_reader_experiment(spec_c, spec) @@ -230,31 +230,34 @@ def common_data_reader(spec, t0pdfset, replica_seeds = None, trval_seeds = None) return all_dict_out + def positivity_reader(pos_spec): pos_c = pos_spec.load() ndata = pos_c.GetNData() parsed_set = [fk_parser(pos_c, pos_c.IsHadronic())] - pos_sets = [{ - 'fktables' : parsed_set, - 'hadronic' : pos_c.IsHadronic(), - 'operation' : 'NULL', - 'name' : pos_spec.name, - 'frac' : 1.0, - 'ndata' : ndata, - }] + pos_sets = [ + { + "fktables": parsed_set, + "hadronic": pos_c.IsHadronic(), + "operation": "NULL", + "name": pos_spec.name, + "frac": 1.0, + "ndata": ndata, + } + ] positivity_factor = pos_spec.poslambda dict_out = { - 'datasets' : pos_sets, - 'trmask' : np.ones(ndata, dtype = np.bool), - 'name' : pos_spec.name, - 'expdata' : np.zeros( (1,ndata) ), - 'ndata' : ndata, - 'positivity' : True, - 'lambda' : positivity_factor - } + "datasets": pos_sets, + "trmask": np.ones(ndata, dtype=np.bool), + "name": pos_spec.name, + "expdata": np.zeros((1, ndata)), + "ndata": ndata, + "positivity": True, + "lambda": positivity_factor, + } return dict_out From acbb257fd7529a00ff9771727b8f1422fb4b23bf Mon Sep 17 00:00:00 2001 From: juacrumar Date: Wed, 19 Jun 2019 11:18:39 +0200 Subject: [PATCH 392/429] modified conda package to nnpdf-tf with the dependencies for n3fit --- .travis.yml | 2 +- conda-recipe/meta.yaml | 7 ++++++- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/.travis.yml b/.travis.yml index 7c1558fcdf..e9bd492006 100644 --- a/.travis.yml +++ b/.travis.yml @@ -16,7 +16,7 @@ env: - CONDAPATH="/Users/travis/miniconda3" - OUTPUT_ARCH=osx-64 - OUTPUT_CHANNEL=conda-private - - UPLOAD_NON_MASTER="false" + - UPLOAD_NON_MASTER="true" matrix: - CONDA_PY=36 diff --git a/conda-recipe/meta.yaml b/conda-recipe/meta.yaml index e7c009c9a0..93a92156ae 100644 --- a/conda-recipe/meta.yaml +++ b/conda-recipe/meta.yaml @@ -1,5 +1,5 @@ package: - name: nnpdf + name: nnpdf-tf version: "{{ GIT_DESCRIBE_TAG }}.{{ GIT_DESCRIBE_NUMBER }}+{{ GIT_DESCRIBE_HASH }}" source: @@ -22,6 +22,11 @@ requirements: - python - numpy run: + - tensorflow + - keras + - ruamel.yaml + - hyperopt + - seaborn - lhapdf - sqlite - gsl From 6093babdbcb708b59b2828a78a7e398a930a02d0 Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 19 Jun 2019 11:01:37 +0100 Subject: [PATCH 393/429] creating Makefile --- doc/sphinx/Makefile | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 doc/sphinx/Makefile diff --git a/doc/sphinx/Makefile b/doc/sphinx/Makefile new file mode 100644 index 0000000000..bc101aaa42 --- /dev/null +++ b/doc/sphinx/Makefile @@ -0,0 +1,5 @@ +build: + sphinx-build -b html ./source ./build + +clean: + rm -r build From 08d33627c3ab46d2ccbf1559dee05f9fe1c14a71 Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 19 Jun 2019 11:37:34 +0100 Subject: [PATCH 394/429] new makefile --- doc/sphinx/Makefile | 22 ++++++++++++++++++---- doc/sphinx/source/conf.py | 39 +++++++++++++++++++-------------------- 2 files changed, 37 insertions(+), 24 deletions(-) diff --git a/doc/sphinx/Makefile b/doc/sphinx/Makefile index bc101aaa42..69fe55ecfa 100644 --- a/doc/sphinx/Makefile +++ b/doc/sphinx/Makefile @@ -1,5 +1,19 @@ -build: - sphinx-build -b html ./source ./build +# Minimal makefile for Sphinx documentation +# -clean: - rm -r build +# You can set these variables from the command line. +SPHINXOPTS = +SPHINXBUILD = sphinx-build +SOURCEDIR = source +BUILDDIR = build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) \ No newline at end of file diff --git a/doc/sphinx/source/conf.py b/doc/sphinx/source/conf.py index abf58b67a1..2735115b0e 100644 --- a/doc/sphinx/source/conf.py +++ b/doc/sphinx/source/conf.py @@ -19,14 +19,14 @@ # -- Project information ----------------------------------------------------- -project = u'NNPDF' -copyright = u'2018, SI & MU' -author = u'SI & MU' +project = 'NNPDF Documentation' +copyright = '2019, SI & MU' +author = 'SI & MU' # The short X.Y version -version = u'' +version = '' # The full version, including alpha/beta/rc tags -release = u'0.0' +release = '' # -- General configuration --------------------------------------------------- @@ -39,17 +39,21 @@ # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ + 'sphinx.ext.autodoc', + 'sphinx.ext.doctest', 'sphinx.ext.intersphinx', 'sphinx.ext.todo', + 'sphinx.ext.coverage', 'sphinx.ext.mathjax', + 'sphinx.ext.ifconfig', 'sphinx.ext.viewcode', 'sphinx.ext.githubpages', ] # Add any paths that contain templates here, relative to this directory. -templates_path = ['~/sphinx/sphinxtemplates'] +templates_path = ['_templates'] -# T e suffix(es) of source filenames. +# The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # source_suffix = ['.rst', '.md'] @@ -79,7 +83,7 @@ # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # -html_theme = 'sphinxdoc' +html_theme = 'alabaster' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the @@ -90,7 +94,7 @@ # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". -html_static_path = ['~/sphinx/sphinxstatic'] +html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. @@ -106,7 +110,7 @@ # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. -htmlhelp_basename = 'NNPDFdoc' +htmlhelp_basename = 'NNPDFDocumentationdoc' # -- Options for LaTeX output ------------------------------------------------ @@ -133,8 +137,8 @@ # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ - (master_doc, 'NNPDF.tex', u'NNPDF Documentation', - u'SI \\& MU', 'manual'), + (master_doc, 'NNPDFDocumentation.tex', 'NNPDF Documentation Documentation', + 'SI \\& MU', 'manual'), ] @@ -143,7 +147,7 @@ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ - (master_doc, 'nnpdf', u'NNPDF Documentation', + (master_doc, 'nnpdfdocumentation', 'NNPDF Documentation Documentation', [author], 1) ] @@ -154,8 +158,8 @@ # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ - (master_doc, 'NNPDF', u'NNPDF Documentation', - author, 'NNPDF', 'One line description of project.', + (master_doc, 'NNPDFDocumentation', 'NNPDF Documentation Documentation', + author, 'NNPDFDocumentation', 'One line description of project.', 'Miscellaneous'), ] @@ -189,8 +193,3 @@ # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = True - -# Add the Markdown parser to the source_parsers configuration variable in your Sphinx configuration file: -source_parsers = { - '.md': 'recommonmark.parser.CommonMarkParser', -} From 77ee19819b21fcbd62e331b3e244daf82ae2af6b Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 19 Jun 2019 11:37:56 +0100 Subject: [PATCH 395/429] adding autogenerated files --- doc/sphinx/make.bat | 35 +++++++++++++++++++++++++++++++++++ 1 file changed, 35 insertions(+) create mode 100644 doc/sphinx/make.bat diff --git a/doc/sphinx/make.bat b/doc/sphinx/make.bat new file mode 100644 index 0000000000..543c6b13b4 --- /dev/null +++ b/doc/sphinx/make.bat @@ -0,0 +1,35 @@ +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set SOURCEDIR=source +set BUILDDIR=build + +if "%1" == "" goto help + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The 'sphinx-build' command was not found. Make sure you have Sphinx + echo.installed, then set the SPHINXBUILD environment variable to point + echo.to the full path of the 'sphinx-build' executable. Alternatively you + echo.may add the Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.http://sphinx-doc.org/ + exit /b 1 +) + +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% + +:end +popd From 7ef822eaa25d5b80b874da4a7c84e85819195171 Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 19 Jun 2019 11:39:47 +0100 Subject: [PATCH 396/429] changing theme --- doc/sphinx/source/conf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/sphinx/source/conf.py b/doc/sphinx/source/conf.py index 2735115b0e..3decd80cf9 100644 --- a/doc/sphinx/source/conf.py +++ b/doc/sphinx/source/conf.py @@ -83,7 +83,7 @@ # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # -html_theme = 'alabaster' +html_theme = 'sphinxdoc' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the From 7c0df754ae995410d48bb3972309dfe86ddfe9d5 Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 19 Jun 2019 11:49:42 +0100 Subject: [PATCH 397/429] adding markdown parser --- doc/sphinx/source/conf.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/doc/sphinx/source/conf.py b/doc/sphinx/source/conf.py index 3decd80cf9..0690ffe2f7 100644 --- a/doc/sphinx/source/conf.py +++ b/doc/sphinx/source/conf.py @@ -193,3 +193,8 @@ # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = True + +# Add the Markdown parser to the source_parsers configuration variable in your Sphinx configuration file: +source_parsers = { + '.md': 'recommonmark.parser.CommonMarkParser', +} From a3735384087b2405189c7aa1fd60a6a1701b587e Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 19 Jun 2019 11:51:21 +0100 Subject: [PATCH 398/429] updating readme --- doc/README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/doc/README.md b/doc/README.md index 45b3bc6f3f..026f5c5baf 100644 --- a/doc/README.md +++ b/doc/README.md @@ -1,6 +1,7 @@ # NNPDF code and standards documentation Here we store documentation (user / developer guides) and specifications -(for cuts / data formats) for the NNPDF code. +(for cuts / data formats) for the NNPDF code. To generate the sphinx documentation, +navigate to the directory `sphinx/` directory and execute the command `make html` ### Currently documented - [Validphys2 guide](https://data.nnpdf.science/validphys-docs/guide.html) From 95ddb2f73f05dee4b35572d4644468d08080626a Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 19 Jun 2019 12:14:49 +0100 Subject: [PATCH 399/429] changing syntax for markdown parser --- doc/sphinx/source/conf.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/doc/sphinx/source/conf.py b/doc/sphinx/source/conf.py index 0690ffe2f7..32cc36e73e 100644 --- a/doc/sphinx/source/conf.py +++ b/doc/sphinx/source/conf.py @@ -48,6 +48,7 @@ 'sphinx.ext.ifconfig', 'sphinx.ext.viewcode', 'sphinx.ext.githubpages', + 'recommonmark', ] # Add any paths that contain templates here, relative to this directory. @@ -56,8 +57,11 @@ # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # -source_suffix = ['.rst', '.md'] -#source_suffix = '.rst' +source_suffix = { + '.rst': 'restructuredtext', + '.txt': 'markdown', + '.md': 'markdown', +} # The master toctree document. master_doc = 'index' @@ -195,6 +199,6 @@ todo_include_todos = True # Add the Markdown parser to the source_parsers configuration variable in your Sphinx configuration file: -source_parsers = { - '.md': 'recommonmark.parser.CommonMarkParser', -} +# source_parsers = { + # '.md': 'recommonmark.parser.CommonMarkParser', +# } From 450fba3b53d291a983346a1874f481a7dae2c65d Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 19 Jun 2019 12:19:45 +0100 Subject: [PATCH 400/429] removing commented lines --- doc/sphinx/source/conf.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/doc/sphinx/source/conf.py b/doc/sphinx/source/conf.py index 32cc36e73e..ac808e5b11 100644 --- a/doc/sphinx/source/conf.py +++ b/doc/sphinx/source/conf.py @@ -197,8 +197,3 @@ # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = True - -# Add the Markdown parser to the source_parsers configuration variable in your Sphinx configuration file: -# source_parsers = { - # '.md': 'recommonmark.parser.CommonMarkParser', -# } From 443f374b260672d2e7fd0a4089ca482522486dd7 Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 19 Jun 2019 12:22:44 +0100 Subject: [PATCH 401/429] correcting typo in README --- doc/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/README.md b/doc/README.md index 026f5c5baf..5563832781 100644 --- a/doc/README.md +++ b/doc/README.md @@ -1,7 +1,7 @@ # NNPDF code and standards documentation Here we store documentation (user / developer guides) and specifications (for cuts / data formats) for the NNPDF code. To generate the sphinx documentation, -navigate to the directory `sphinx/` directory and execute the command `make html` +navigate to the `sphinx/` directory and execute the command `make html` ### Currently documented - [Validphys2 guide](https://data.nnpdf.science/validphys-docs/guide.html) From caa1489932c3a253ab027fec78ef8475bb96bff7 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Sat, 22 Jun 2019 16:56:37 +0200 Subject: [PATCH 402/429] create setuptool package --- n3fit/layers/__init__.py | 6 - n3fit/readme.md | 280 ------------------ n3fit/runcards/Basic_runcard.yml | 149 ---------- n3fit/runcards/PN3_DIS_example.yml | 179 ----------- n3fit/runcards/PN3_Global_example.yml | 265 ----------------- {n3fit => pyfit}/backends/__init__.py | 0 {n3fit => src/n3fit}/HyperAlgorithm.py | 0 {n3fit => src/n3fit}/HyperScanner.py | 2 +- {n3fit => src/n3fit}/ModelTrainer.py | 8 +- {n3fit => src/n3fit}/Statistics.py | 0 .../keras_backend => src/n3fit}/__init__.py | 0 src/n3fit/backends/__init__.py | 8 + .../backends/keras_backend/MetaLayer.py | 0 .../backends/keras_backend/MetaModel.py | 0 src/n3fit/backends/keras_backend/__init__.py | 0 .../backends/keras_backend/base_layers.py | 0 .../backends/keras_backend/debug_mode.py | 0 .../n3fit}/backends/keras_backend/losses.py | 0 .../backends/keras_backend/operations.py | 0 {n3fit => src/n3fit}/constrains.py | 6 +- {n3fit => src/n3fit}/create_testset.py | 2 +- .../n3fit}/evolven3fit/evolven3fit.cc | 0 {n3fit => src/n3fit}/evolven3fit/makefile | 0 {n3fit => src/n3fit}/evolven3fit/version.h | 0 {n3fit => src/n3fit}/filetrials.py | 0 {n3fit => src/n3fit}/fit.py | 18 +- {n3fit => src/n3fit}/layers/DIS.py | 2 +- {n3fit => src/n3fit}/layers/DY.py | 2 +- {n3fit => src/n3fit}/layers/Integration.py | 2 +- {n3fit => src/n3fit}/layers/Mask.py | 2 +- {n3fit => src/n3fit}/layers/Observable.py | 2 +- {n3fit => src/n3fit}/layers/Preprocessing.py | 2 +- src/n3fit/layers/__init__.py | 6 + {n3fit => src/n3fit}/model_gen.py | 18 +- {n3fit => src/n3fit}/n3fit.py | 8 +- {n3fit => src/n3fit}/plotting.py | 2 +- {n3fit => src/n3fit}/reader.py | 0 {n3fit => src/n3fit}/writer.py | 2 +- 38 files changed, 54 insertions(+), 917 deletions(-) delete mode 100644 n3fit/layers/__init__.py delete mode 100644 n3fit/readme.md delete mode 100644 n3fit/runcards/Basic_runcard.yml delete mode 100644 n3fit/runcards/PN3_DIS_example.yml delete mode 100644 n3fit/runcards/PN3_Global_example.yml rename {n3fit => pyfit}/backends/__init__.py (100%) rename {n3fit => src/n3fit}/HyperAlgorithm.py (100%) rename {n3fit => src/n3fit}/HyperScanner.py (99%) rename {n3fit => src/n3fit}/ModelTrainer.py (99%) rename {n3fit => src/n3fit}/Statistics.py (100%) rename {n3fit/backends/keras_backend => src/n3fit}/__init__.py (100%) create mode 100644 src/n3fit/backends/__init__.py rename {n3fit => src/n3fit}/backends/keras_backend/MetaLayer.py (100%) rename {n3fit => src/n3fit}/backends/keras_backend/MetaModel.py (100%) create mode 100644 src/n3fit/backends/keras_backend/__init__.py rename {n3fit => src/n3fit}/backends/keras_backend/base_layers.py (100%) rename {n3fit => src/n3fit}/backends/keras_backend/debug_mode.py (100%) rename {n3fit => src/n3fit}/backends/keras_backend/losses.py (100%) rename {n3fit => src/n3fit}/backends/keras_backend/operations.py (100%) rename {n3fit => src/n3fit}/constrains.py (97%) rename {n3fit => src/n3fit}/create_testset.py (98%) rename {n3fit => src/n3fit}/evolven3fit/evolven3fit.cc (100%) rename {n3fit => src/n3fit}/evolven3fit/makefile (100%) rename {n3fit => src/n3fit}/evolven3fit/version.h (100%) rename {n3fit => src/n3fit}/filetrials.py (100%) rename {n3fit => src/n3fit}/fit.py (96%) rename {n3fit => src/n3fit}/layers/DIS.py (91%) rename {n3fit => src/n3fit}/layers/DY.py (96%) rename {n3fit => src/n3fit}/layers/Integration.py (98%) rename {n3fit => src/n3fit}/layers/Mask.py (95%) rename {n3fit => src/n3fit}/layers/Observable.py (96%) rename {n3fit => src/n3fit}/layers/Preprocessing.py (98%) create mode 100644 src/n3fit/layers/__init__.py rename {n3fit => src/n3fit}/model_gen.py (95%) rename {n3fit => src/n3fit}/n3fit.py (99%) rename {n3fit => src/n3fit}/plotting.py (99%) rename {n3fit => src/n3fit}/reader.py (100%) rename {n3fit => src/n3fit}/writer.py (99%) diff --git a/n3fit/layers/__init__.py b/n3fit/layers/__init__.py deleted file mode 100644 index b8bf8847f5..0000000000 --- a/n3fit/layers/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -from layers.Preprocessing import Rotation, Preprocessing -from layers.Integration import xDivide, xIntegrator, MSR_Normalization, xMultiply -from layers.DIS import DIS -from layers.DY import DY -from layers.Mask import Mask -from backends import MetaLayer diff --git a/n3fit/readme.md b/n3fit/readme.md deleted file mode 100644 index 523986ce92..0000000000 --- a/n3fit/readme.md +++ /dev/null @@ -1,280 +0,0 @@ -Ciao everyone, - -As promised here is the "beta" version of the new fitting code for everyone to have fun with it. We put all our code in the folder `n3fit` (i.e., everything below is referred to this folder). - -# n3fit.py - -This version is what we promised to make public in Varenna next August, in the end we decided to push also the hyperopt code since it was already ready rather than have a stripped-down version for Easter. - - -## Look before you leap - -There are a few things to note before running this code. - -### Differences with NNPDF - -- Preprocessing: - -This is perhaps one of the biggest differences with respect to NNPDF. The preprocessing variables are being fitted (within the parameters given in the runcard). There is room for new studies on this. - -- The network: - -We have constructed the network as a single net, i.e., all layers are fully connected. - -- Positivity and stopping: - -Positivity is enforced and replicas are only accepted once they pass some positivity criteria. This is related to stopping in that the stop only occurs once the validation loss doesn't improve anymore **_and_** the positivity criteria is fulfilled. - - -- Seeds: - -Everything is seeded at the level of the experiments, i.e., if you were to change the order of two experiments the results _should_ still be the same. - -### Performance, hardware usage - -- CPU usage: - -As said in Amsterdam, the code is quite fast and able to do a fit for a single replica in the order of 10 minutes / 1 hour for DIS / Global. However the usage of the CPU power is not the most efficient - -By default tensorflow will try to generate as many processes as logical threads your computer has (x2), however most of them are sitting idle most of the time, this is due to the amount of data we have available, it is actually not enough to actually give something to do to every core (_if_ you have a big enough number of powerful enough cores). - -We have limited the code to 8-16 threads. The limitation is done in line 34,35 of `backend/keras_backend/debug_mode.py`. - -- Memory usage: - -In our tests we find an usage of 2 GB of memory for DIS and 16 GB of memory for Global. I would personally recommend to be very generous with the memory requirements since otherwise you might end up swapping, which will greatly hinder performance. - -**Warning:** If you were to run this code in a cluster with not very good sandboxing you will be still running in 8 processors even if you only asked for 2. Therefore if you are going to ask for a small number of processors I would recommend to change those settings in the code as well. You don't want to make your IT department sad. - -_WIP:_ Eventually the resources management will be part of the runcard, but we are studying how to best reduce the impact (specially on memory) so it is still work in progress and so run it at your own risk. - -### Caveats, things to be wary of - -The gradient descent algorithms are quite powerful and the possibility of running much faster means you can run much deeper networks. However, as a wise man once said, _with great power comes great responsability_. In particular in our tests we found **it is not difficult to run into overfitting issues**. - -Overfitting is most easily done in DIS where the number of data points is small enough that is not difficult to generate a network with a number of parameters comparable to the number of data points. In this situation it is possible to find overfitting even with cross validation measures. We uploaded a report where the overfitting is quite obvious as an example: https://vp.nnpdf.science/EIA8y1JXQVmT9RYBLlUeJw==/ - - -For truly reproducible runs you should set `debug: true` in the runcard as, by default, we allow tensorflow freedom to play with its own internal variables. Debug mode turns off hyperthreading and fixes tensorflow's internal variables. - -The folder structure is not final, specially the files found in the top level folder. There is still some refactoring to do here so the explanation for the folders below might be outdated in a few weeks. - -The code works as a validphys app but it is not integrated in validphys. It is not installed when you run `conda install nnpdf` or `make install`. At the moment this could be taken as "Release Candidate" but not as a final product. - -At the moment since this is a beta version the final touchs of development are being in the n3pdf repository since there are a few pull requests open. Once we have merged all pull requests there we will move development to this one. - - -### Requirements: - -- **NNPDF:** Make sure NNPDF is installed and that python is able to import validphys. -- **Python packages:** usually having NNPDF installed and working means you will have everything you need, possible pitfalls: ruamel.yaml -- **Keras & tensorflow:** if you installed nnpdf with conda I would suggest installing them also with conda to ensure compatibility between python versions (3.6/3.7 brings some changes that can affect tensorflow). Note: tensorflow-opt includes some optimizations for running on CPU so it is the recommended version. -- **Hyperopt:** in order to use hyperopt you need to install the hyperopt python package, pandas and seaborn. -- **Operative System:** we have run this code in many several different Linux machines (with wildly different Linux flavours) in both python 3.6 and 3.7. We haven't tested Mac OS but there is no reason it should not work. - -## Folder Structure: - -### Backend - -All backend dependent functions and classes are in the `backends` folder. At the moment there is only one backend implemented: keras (`backend/keras_backend`). - -In order to implement a new different backend it should be enough to ensure it provides the same classes and methods. - -### Layers - -The custom layers that define the different pieces of the Neural Network are all in the `layers/` folder. Each layer is a different class extending `backends/?/MetaLayer.py`. - -Note for instance the DIS layer `layers/DIS.py`. This layer is an operation implementing the convolution of one PDF with one FKTable (according to the active flavours). -The plan is to replace some of the operations in these layers by custom operations as we believe this will have an impact on the memory usage of the code. - - -### Base folder - -The base folder is (temporarily) where the rest of the code lies, but let me break it down. - -#### Main code: - -- n3fit.py - -Validphys app definition. - -- fit.py - -Driver of the fitting code, the hyperoptimization and the output of the code. - -- constrains.py - -Implements restrictions such as the momentum sum rule. - -- model_gen.py - -Implements functions dedicated to generate the different independent pieces of the Neural Network such as the Observable layers or the PDF layers. - -- reader.py - -Implements the reading of the datasets, experiments and positivity sets into python objects. This is the only place where libnnpdf is used. The hope is that most of the logic in this file will be substituted by PR #404. - -- writer.py - -Implements the functions dedicated to the output of the fit (crucially, .exportgrid) - -- statistics.py - -Class that saves information about the fitting such a number of epochs, losses of the different pieces, etc. It is also manages the stopping criteria. - -- ModelTrainer.py - -This class defines the behaviour of the fit, creates the Neural Network and performs the fit. - - -#### Hyperopt: - -These are files related to the hyperoptimization mode of the code. Below in the basic usage section there are some notes on how to use it in case someone wants to give a try. - -- HyperAlgorith.py - -- HyperScanner.py - -- filetrials.py - -- plotting.py - -- create_testset.py - - -#### Runcards and report examples - -We provide three runcards (in the `runcards` folder): - -- Basic: Basic_runcard.yml, for quick testing with just two datasets -- DIS: PN3_DIS_example.yml (report example: https://vp.nnpdf.science/fpzXjidYR7SMrFBXpSacEA==) -- Global: PN3_Global_example.yml(report example: https://vp.nnpdf.science/BT98HzUSTxqg6_sDkkUx0A== ) - - -#### Evolution code - -Instead of using apfel replica per replica the code found in the folder `evolven3fit' will run the evolution for all replicas at once. -This code doesn't do any kind of sanity check or similar, as long as it finds a .gridinfo file, it will be happy. - -Usage: - - make - ./evolven3fit run_folder number_of_replicas - - -### Basic Usage: - -The most basic usage is running a fit for a given runcard for a given replica: - - python3 n3fit.py runcard.yml replica_number - -This will generate a folder structure akin to the one nnfit currently generates. It is not necessary to run vp-setupfit (if you do it, it will not hurt, you will need it anyway for generating a report at some point in the pipeline). - -Example: - - python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 - -will generater a folder `NNPDF31_nlo_as_0118_basic/nnfit/replica_1` containing a number of files with arclengths, chi2, etc. - - -#### Running multiple replicas sequentially: -With the option -r is it possible to run more replicas without the need for loading the data each time. This is just a convenience feature - - python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 -r 4 - -will run replicas 1 to 4 one after the other. - -#### Hyperoptimization: -The option --hyperopt will activate the hyperoptimizer - - python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 --hyperopt 100 - -will run 100 iterations of the hyperoptimizer. We also include a script that will plot the results as a `scan.pdf' file. - - python3 plotting.py NNPDF31_nlo_as_0118_basic - -As mentioned before, it is important to avoid overfitting, relying blindly in hyperopt, however, can result in models prone to overfitting. For hyperopt a model that overfits is very good, the most straightforward way of solving this issue is to create a set of datasets that don't enter the fitting or the validation. We include a script to do this in a systematic way with the following option: - - python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 --create_test_card - -This will generate a TEST runcard with a TEST set included which can be use for hyperoptimization. - - -#### Example: from a fit to a validphys report - - -In order to generate a fit it is necessary to run the code for a number of replicas. Let's say we want a fit of the runcard DIS.yml with 20 replicas: - -``` -for replica in {1..20} -do - ./n3fit.py DIS.yml ${replica} -done -``` - -After this we'll have a `DIS/nnfit' folder with 20 replicas. Now in order to generate the fit we use the following workflow: - -First some legacy code, it's only needed for the other scripts not to complain - - vp-setupfit DIS.yml - -Now we can run evolven3fit with the folder were the replicas are included and the maximum number of replicas to find. - - ./evolven3fit DIS 20` - -From this point onwards the steps are not different from before, for completeness they are also included here: - -After running the evolution code we run postfit to generate the final PDF, for that we give the number of members we want to find and the folder. - - postfit 15 DIS - -After postfit has finished you will want the results to the NNPDF share folder, assuming a conda installation: - - cp -RL DIS $CONDA_PREFIX/share/NNPDF/results/ - -Finally, for generating the plots you need to use comparefits and follow the instructions, for the DIS runcard we provide you can use 181101-001-sc as the reference fit. - - vp-comparefits DIS 181101-001-sc --title comparison --author $USER --keywords n3fit -o my_DIS_report - - -### Going forward: - -This is a list of ideas we have so people can start working on things if they feel like it. Some of them are necessary for the full integration with NNPDF (in particular testing and implementing the new fkparser) other can be interesting or fun side projects. - -- Testing the fkparser. - -Modifying reader to use the new fkparsers implemented in PR #404 instead of using the C functions. -All calls to libnnpdf are concentrated in this file so that the changes are easy to implement. - -- Closure tests - -We have not run any closure test or implemented a way of doing it in a systematic way. It could be an interesting exercise. - - -- Implement new backends - -As said before, it should be straightforward (a straight paths can be very long, complicated and full of holes, but the path itself has not many curves). - -- Run with other algorithms - -At the moment we have run with some of the algorithms included in the default keras installation, but the space of algorithms for machine learning is quite big. We have also limited ourselves to Gradient Descent family, but that's not the end of the story. - - -- Study different strategies for preprocessing: - -At the moment we are taking a very naive approach to the fitting of the processing: we let them vary freely within the strict limits set by the runcard. This may well be suboptimal. - -#### Some other things - -Some stuff that people is working on and is close to completion: - -- Implementation of custom operators and gradients to improve performance. -- An visualizer for the fitting of the PDF in the form of an animation. - - --------- - -Let us know if anything is unclear and feel free to open any issues you find! - - - Juan & Stefano diff --git a/n3fit/runcards/Basic_runcard.yml b/n3fit/runcards/Basic_runcard.yml deleted file mode 100644 index 4da9e07eea..0000000000 --- a/n3fit/runcards/Basic_runcard.yml +++ /dev/null @@ -1,149 +0,0 @@ -# -# Configuration file for NNPDF++ -# - -############################################################ -description: NNPDF3.1 NLO fitted charm global dataset - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -experiments: - - experiment: ALL - datasets: - - { dataset: SLACP, frac: 0.5} - - { dataset: NMCPD, frac: 0.5 } - -############################################################ -datacuts: - t0pdfset : NNPDF31_nlo_as_0118 # PDF set to generate t0 covmat - q2min : 3.49 # Q2 minimum - w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut - -############################################################ -theory: - theoryid: 53 # database id - -########################################################### -hyperscan: - stopping: - min_epochs: 5e2 - max_epochs: 40e2 - min_patience: 0.10 - max_patience: 0.40 - positivity: - min_multiplier: 1.00000001 - max_multiplier: 1.00000002 - min_initial: - max_initial: - optimizer: - names: 'ALL' # Use all implemented optimizers - min_lr: 0.0005 - max_lr: 0.5 - architecture: - initializers: 'ALL' - max_drop: 0.15 - n_layers: [2,3,4] - min_units: 5 - max_units: 50 - activations: ['sigmoid', 'tanh'] - - -############################################################ -fitting: - genrep : True # on = generate MC replicas, False = use real data - trvlseed: 1 - nnseed: 2 - mcseed: 3 - epochs: 900 - # CHANGE THE FOLLOWING OPTIONS - save: False - savefile: 'weights.hd5' - load: False - loadfile: 'weights.hd5' - plot: False - - parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [15, 10, 8] - activation_per_layer: ['sigmoid', 'sigmoid', 'linear'] - initializer: 'glorot_normal' - learning_rate: 0.01 - optimizer: 'RMSprop' - epochs: 900 - pos_multiplier: 1.05 - pos_initial: # believe the pos_lambda below - stopping_patience: 0.30 # percentage of the number of epochs - layer_type: 'dense' - dropout: 0.0 - - # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) - # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) - # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) - # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) - fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. - basis: - # remeber to change the name of PDF accordingly with fitbasis - # pos: True for NN squared - # mutsize: mutation size - # mutprob: mutation probability - # smallx, largex: preprocessing ranges - - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.05,1.19], largex: [1.47,2.70] } - - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.94,1.25], largex: [0.11,5.87] } - - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.54,0.75], largex: [1.15,2.76] } - - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.21,0.57], largex: [1.35,3.08] } - - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.52,0.76], largex: [0.77,3.56] } - - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.37,1.52], largex: [1.74,3.39] } - - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.56,1.29], largex: [1.45,3.03] } - - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.12,1.19], largex: [1.83,6.70] } - -############################################################ -stopping: - stopmethod: LOOKBACK # Stopping method - lbdelta : 0 # Delta for look-back stopping - mingen : 0 # Minimum number of generations - window : 500 # Window for moving average - minchi2 : 3.5 # Minimum chi2 - minchi2exp: 6.0 # Minimum chi2 for experiments - nsmear : 200 # Smear for stopping - deltasm : 200 # Delta smear for stopping - rv : 2 # Ratio for validation stopping - rt : 0.5 # Ratio for training stopping - epsilon : 1e-6 # Gradient epsilon - -############################################################ -positivity: - posdatasets: - - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier - -############################################################ -closuretest: - filterseed : 0 # Random seed to be used in filtering data partitions - fakedata : False # on = to use FAKEPDF to generate pseudo-data - fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data - errorsize : 1.0 # uncertainties rescaling - fakenoise : False # on = to add random fluctuations to pseudo-data - rancutprob : 1.0 # Fraction of data to be included in the fit - rancutmethod: 0 # Method to select rancutprob data fraction - rancuttrnval: False # 0(1) to output training(valiation) chi2 in report - printpdf4gen: False # To print info on PDFs during minimization - -############################################################ -lhagrid: - nx : 150 - xmin: 1e-9 - xmed: 0.1 - xmax: 1.0 - nq : 50 - qmax: 1e5 - -############################################################ diff --git a/n3fit/runcards/PN3_DIS_example.yml b/n3fit/runcards/PN3_DIS_example.yml deleted file mode 100644 index 19efd8f33e..0000000000 --- a/n3fit/runcards/PN3_DIS_example.yml +++ /dev/null @@ -1,179 +0,0 @@ -# -# Configuration file for NNPDF++ -# - -############################################################ -description: NNPDF3.1 NNLO fitted charm global dataset - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -experiments: -# Fixed target DIS - - experiment: NMC - datasets: - - { dataset: NMCPD, frac: 0.5 } - - { dataset: NMC, frac: 0.5 } - - experiment: SLAC - datasets: - - { dataset: SLACP, frac: 0.5} - - { dataset: SLACD, frac: 0.5} - - experiment: BCDMS - datasets: - - { dataset: BCDMSP, frac: 0.5} - - { dataset: BCDMSD, frac: 0.5} - - experiment: CHORUS - datasets: - - { dataset: CHORUSNU, frac: 0.5} - - { dataset: CHORUSNB, frac: 0.5} - - experiment: NTVDMN - datasets: - - { dataset: NTVNUDMN, frac: 0.5} - - { dataset: NTVNBDMN, frac: 0.5} -# EMC F2C data -# - experiment: EMCF2C -# datasets: -# - { dataset: EMCF2C, frac: 1.0} -# HERA data - - experiment: HERACOMB - datasets: - - { dataset: HERACOMBNCEM , frac: 0.5} - - { dataset: HERACOMBNCEP460, frac: 0.5} - - { dataset: HERACOMBNCEP575, frac: 0.5} - - { dataset: HERACOMBNCEP820, frac: 0.5} - - { dataset: HERACOMBNCEP920, frac: 0.5} - - { dataset: HERACOMBCCEM , frac: 0.5} - - { dataset: HERACOMBCCEP , frac: 0.5} -# Combined HERA charm production cross-sections - - experiment: HERAF2CHARM - datasets: - - { dataset: HERAF2CHARM, frac: 0.5} -# F2bottom data - - experiment: F2BOTTOM - datasets: - - { dataset: H1HERAF2B, frac: 1.0} - - { dataset: ZEUSHERAF2B, frac: 1.0} - - -############################################################ -datacuts: - t0pdfset : NNPDF31_nnlo_as_0118 # PDF set to generate t0 covmat - q2min : 3.49 # Q2 minimum - w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut - -############################################################ -theory: - theoryid: 53 # database id - -############################################################ -fitting: - - trvlseed: 1 - nnseed: 2 - mcseed: 3 - epochs: 20000 - save: False - savefile: 'weights.hd5' - load: False - loadfile: 'weights.hd5' - plot: False - - seed : 9453862133528 # set the seed for the random generator - genrep : True # on = generate MC replicas, off = use real data - rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc - fitmethod: NGA # Minimization algorithm - nmutants : 80 # Number of mutants for replica - paramtype: NN - nnodes : [2,5,3,1] - - parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [35, 25, 8] - activation_per_layer: ['tanh', 'tanh', 'linear'] - initializer: 'glorot_normal' - learning_rate: 0.01 - optimizer: 'Adadelta' - epochs: 40000 - pos_multiplier: 1.09 - pos_initial: 10.0 # believe the pos_lambda above - stopping_patience: 0.30 # percentage of the number of epochs - layer_type: 'dense' - dropout: 0.0 - - # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) - # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) - # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) - # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) - fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. - basis: - # remeber to change the name of PDF accordingly with fitbasis - # pos: True for NN squared - # mutsize: mutation size - # mutprob: mutation probability - # smallx, largex: preprocessing ranges - - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } - - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } - - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } - - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } - - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } - - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } - - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } - - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } - -############################################################ -stopping: - stopmethod: LOOKBACK # Stopping method - lbdelta : 0 # Delta for look-back stopping - mingen : 0 # Minimum number of generations - window : 500 # Window for moving average - minchi2 : 3.5 # Minimum chi2 - minchi2exp: 6.0 # Minimum chi2 for experiments - nsmear : 200 # Smear for stopping - deltasm : 200 # Delta smear for stopping - rv : 2 # Ratio for validation stopping - rt : 0.5 # Ratio for training stopping - epsilon : 1e-6 # Gradient epsilon - -############################################################ -positivity: - posdatasets: - - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSF2DW, poslambda: 1e6 } - - { dataset: POSF2S, poslambda: 1e6 } - - { dataset: POSFLL, poslambda: 1e6 } - - { dataset: POSDYU, poslambda: 1e10 } - - { dataset: POSDYD, poslambda: 1e10 } - - { dataset: POSDYS, poslambda: 1e10 } - -############################################################ -closuretest: - filterseed : 0 # Random seed to be used in filtering data partitions - fakedata : False # on = to use FAKEPDF to generate pseudo-data - fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data - errorsize : 1.0 # uncertainties rescaling - fakenoise : False # on = to add random fluctuations to pseudo-data - rancutprob : 1.0 # Fraction of data to be included in the fit - rancutmethod: 0 # Method to select rancutprob data fraction - rancuttrnval: False # 0(1) to output training(valiation) chi2 in report - printpdf4gen: False # To print info on PDFs during minimization - -############################################################ -lhagrid: - nx : 150 - xmin: 1e-9 - xmed: 0.1 - xmax: 1.0 - nq : 50 - qmax: 1e5 - -############################################################ -debug: False diff --git a/n3fit/runcards/PN3_Global_example.yml b/n3fit/runcards/PN3_Global_example.yml deleted file mode 100644 index 5e66e1d96e..0000000000 --- a/n3fit/runcards/PN3_Global_example.yml +++ /dev/null @@ -1,265 +0,0 @@ -# -# Configuration file for NNPDF++ -# - -############################################################ -description: NNPDF3.1 NNLO fitted charm global dataset - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -experiments: -# Fixed target DIS - - experiment: NMC - datasets: - - { dataset: NMCPD, frac: 0.5 } - - { dataset: NMC, frac: 0.5 } - - experiment: SLAC - datasets: - - { dataset: SLACP, frac: 0.5} - - { dataset: SLACD, frac: 0.5} - - experiment: BCDMS - datasets: - - { dataset: BCDMSP, frac: 0.5} - - { dataset: BCDMSD, frac: 0.5} - - experiment: CHORUS - datasets: - - { dataset: CHORUSNU, frac: 0.5} - - { dataset: CHORUSNB, frac: 0.5} - - experiment: NTVDMN - datasets: - - { dataset: NTVNUDMN, frac: 0.5} - - { dataset: NTVNBDMN, frac: 0.5} -# EMC F2C data -# - experiment: EMCF2C -# datasets: -# - { dataset: EMCF2C, frac: 1.0} -# HERA data - - experiment: HERACOMB - datasets: - - { dataset: HERACOMBNCEM , frac: 0.5} - - { dataset: HERACOMBNCEP460, frac: 0.5} - - { dataset: HERACOMBNCEP575, frac: 0.5} - - { dataset: HERACOMBNCEP820, frac: 0.5} - - { dataset: HERACOMBNCEP920, frac: 0.5} - - { dataset: HERACOMBCCEM , frac: 0.5} - - { dataset: HERACOMBCCEP , frac: 0.5} -# Combined HERA charm production cross-sections - - experiment: HERAF2CHARM - datasets: - - { dataset: HERAF2CHARM, frac: 0.5} -# F2bottom data - - experiment: F2BOTTOM - datasets: - - { dataset: H1HERAF2B, frac: 1.0} - - { dataset: ZEUSHERAF2B, frac: 1.0} - # Fixed target Drell-Yan - - experiment: DYE886 - datasets: - - { dataset: DYE886R, frac: 1.0 } - - { dataset: DYE886P, frac: 0.5, cfac: [QCD] } - - experiment: DYE605 - datasets: - - { dataset: DYE605, frac: 0.5, cfac: [QCD] } -# Tevatron jets and W,Z production - - experiment: CDF - datasets: - - { dataset: CDFZRAP, frac: 1.0, cfac: [QCD] } - - { dataset: CDFR2KT, frac: 0.5, sys: 10 } - - experiment: D0 - datasets: - - { dataset: D0ZRAP, frac: 1.0, cfac: [QCD] } - - { dataset: D0WEASY, frac: 1.0, cfac: [QCD] } - - { dataset: D0WMASY, frac: 1.0, cfac: [QCD] } - # ATLAS - - experiment: ATLAS - datasets: -# ATLAS EWK - - { dataset: ATLASWZRAP36PB, frac: 1.0, cfac: [QCD] } - - { dataset: ATLASZHIGHMASS49FB, frac: 1.0, cfac: [QCD] } - - { dataset: ATLASLOMASSDY11EXT, frac: 1.0, cfac: [QCD] } - - { dataset: ATLASWZRAP11, frac: 0.5, cfac: [QCD] } -# ATLAS jets - - { dataset: ATLASR04JETS36PB, frac: 0.5, sys: 10 } - - { dataset: ATLASR04JETS2P76TEV, frac: 0.5, sys: 10 } - - { dataset: ATLAS1JET11, frac: 0.5, sys: 10 } -# ATLAS Z pt -# - { dataset: ATLASZPT7TEV, frac: 0.5, cfac: [QCD,NRM], sys: 10 } - - { dataset: ATLASZPT8TEVMDIST, frac: 0.5, cfac: [QCD], sys: 10 } - - { dataset: ATLASZPT8TEVYDIST, frac: 0.5, cfac: [QCD], sys: 10 } -# ATLAS top - - { dataset: ATLASTTBARTOT, frac: 1.0, cfac: [QCD] } - - { dataset: ATLASTOPDIFF8TEVTRAPNORM, frac: 1.0, cfac: [QCD] } -# CMS - - experiment: CMS - datasets: -# CMS EWK - - { dataset: CMSWEASY840PB, frac: 1.0, cfac: [QCD] } - - { dataset: CMSWMASY47FB, frac: 1.0, cfac: [QCD] } -# - { dataset: CMSWCHARMTOT, frac: 1.0 } -# - { dataset: CMSWCHARMRAT, frac: 1.0 } - - { dataset: CMSDY2D11, frac: 0.5, cfac: [QCD] } - - { dataset: CMSWMU8TEV, frac: 1.0, cfac: [QCD] } -# CMS jets - - { dataset: CMSJETS11, frac: 0.5, sys: 10 } - - { dataset: CMS1JET276TEV, frac: 0.5, sys: 10 } -# CMS Z pt - - { dataset: CMSZDIFF12, frac: 1.0, cfac: [QCD,NRM], sys: 10 } -# CMS ttbar - - { dataset: CMSTTBARTOT, frac: 1.0, cfac: [QCD] } - - { dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 1.0, cfac: [QCD] } - # LHCb - - experiment: LHCb - datasets: - - { dataset: LHCBZ940PB, frac: 1.0, cfac: [QCD] } - - { dataset: LHCBZEE2FB, frac: 1.0, cfac: [QCD] } - - { dataset: LHCBWZMU7TEV, frac: 1.0, cfac: [NRM,QCD] } - - { dataset: LHCBWZMU8TEV, frac: 1.0, cfac: [NRM,QCD] } - - -############################################################ -datacuts: - t0pdfset : NNPDF31_nnlo_as_0118 # PDF set to generate t0 covmat - q2min : 3.49 # Q2 minimum - w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut - -############################################################ -theory: - theoryid: 53 # database id - -hyperscan: - stopping: - min_epochs: 25e3 - max_epochs: 40e3 - min_patience: 0.10 - max_patience: 0.40 - positivity: - min_multiplier: 1.04 - max_multiplier: 1.1 - min_initial: 1.0 - max_initial: 50.0 - optimizer: - names: ['RMSprop', 'Adadelta'] - min_lr: 0.0005 - max_lr: 0.13 - architecture: - initializers: ['glorot_normal', 'glorot_uniform'] - max_drop: 0.05 - n_layers: [1,2] - min_units: 5 - max_units: 50 - activations: ['sigmoid', 'tanh'] - -############################################################ -fitting: - - trvlseed: 1 - nnseed: 2 - mcseed: 3 - epochs: 50000 - save: False - savefile: 'weights.hd5' - load: False - loadfile: 'weights.hd5' - plot: False - - seed : 9453862133528 # set the seed for the random generator - genrep : True # on = generate MC replicas, off = use real data - rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc - fitmethod: NGA # Minimization algorithm - ngen : 30000 # Maximum number of generations - nmutants : 80 # Number of mutants for replica - paramtype: NN - nnodes : [2,5,3,1] - - parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [50, 35, 25, 8] - activation_per_layer: ['tanh', 'sigmoid', 'sigmoid', 'linear'] - initializer: 'glorot_normal' - learning_rate: 0.002 - optimizer: 'Adadelta' - epochs: 50000 - pos_multiplier: 1.09 - pos_initial: 1.1 - stopping_patience: 0.3 # percentage of the number of epochs - layer_type: 'dense' - dropout: 0.006 - - # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) - # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) - # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) - # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) - fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. - basis: - # remeber to change the name of PDF accordingly with fitbasis - # pos: True for NN squared - # mutsize: mutation size - # mutprob: mutation probability - # smallx, largex: preprocessing ranges - - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } - - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } - - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } - - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } - - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } - - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } - - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } - - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } - -############################################################ -stopping: - stopmethod: LOOKBACK # Stopping method - lbdelta : 0 # Delta for look-back stopping - mingen : 0 # Minimum number of generations - window : 500 # Window for moving average - minchi2 : 3.5 # Minimum chi2 - minchi2exp: 6.0 # Minimum chi2 for experiments - nsmear : 200 # Smear for stopping - deltasm : 200 # Delta smear for stopping - rv : 2 # Ratio for validation stopping - rt : 0.5 # Ratio for training stopping - epsilon : 1e-6 # Gradient epsilon - -############################################################ -positivity: - posdatasets: - - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSF2DW, poslambda: 1e6 } - - { dataset: POSF2S, poslambda: 1e6 } - - { dataset: POSFLL, poslambda: 1e6 } - - { dataset: POSDYU, poslambda: 1e10 } - - { dataset: POSDYD, poslambda: 1e10 } - - { dataset: POSDYS, poslambda: 1e10 } - -############################################################ -closuretest: - filterseed : 0 # Random seed to be used in filtering data partitions - fakedata : False # on = to use FAKEPDF to generate pseudo-data - fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data - errorsize : 1.0 # uncertainties rescaling - fakenoise : False # on = to add random fluctuations to pseudo-data - rancutprob : 1.0 # Fraction of data to be included in the fit - rancutmethod: 0 # Method to select rancutprob data fraction - rancuttrnval: False # 0(1) to output training(valiation) chi2 in report - printpdf4gen: False # To print info on PDFs during minimization - -############################################################ -lhagrid: - nx : 150 - xmin: 1e-9 - xmed: 0.1 - xmax: 1.0 - nq : 50 - qmax: 1e5 - -############################################################ -debug: False diff --git a/n3fit/backends/__init__.py b/pyfit/backends/__init__.py similarity index 100% rename from n3fit/backends/__init__.py rename to pyfit/backends/__init__.py diff --git a/n3fit/HyperAlgorithm.py b/src/n3fit/HyperAlgorithm.py similarity index 100% rename from n3fit/HyperAlgorithm.py rename to src/n3fit/HyperAlgorithm.py diff --git a/n3fit/HyperScanner.py b/src/n3fit/HyperScanner.py similarity index 99% rename from n3fit/HyperScanner.py rename to src/n3fit/HyperScanner.py index a888e6f475..d1e08cc534 100644 --- a/n3fit/HyperScanner.py +++ b/src/n3fit/HyperScanner.py @@ -1,7 +1,7 @@ import hyperopt as hyper import numpy as np -from backends import MetaModel, MetaLayer +from n3fit.backends import MetaModel, MetaLayer class HyperScanner: diff --git a/n3fit/ModelTrainer.py b/src/n3fit/ModelTrainer.py similarity index 99% rename from n3fit/ModelTrainer.py rename to src/n3fit/ModelTrainer.py index 3fd4deeb84..5b8240b013 100644 --- a/n3fit/ModelTrainer.py +++ b/src/n3fit/ModelTrainer.py @@ -11,10 +11,10 @@ *called in this way because it accept a dictionary of parameters which defines the Neural Network """ -import model_gen -import constrains -import Statistics -from backends import MetaModel, clear_backend_state +import n3fit.model_gen as model_gen +import n3fit.constrains as constrains +import n3fit.Statistics as Statistics +from n3fit.backends import MetaModel, clear_backend_state # If an experiment matches this name, it will not be included int he training TESTNAME = "TEST" diff --git a/n3fit/Statistics.py b/src/n3fit/Statistics.py similarity index 100% rename from n3fit/Statistics.py rename to src/n3fit/Statistics.py diff --git a/n3fit/backends/keras_backend/__init__.py b/src/n3fit/__init__.py similarity index 100% rename from n3fit/backends/keras_backend/__init__.py rename to src/n3fit/__init__.py diff --git a/src/n3fit/backends/__init__.py b/src/n3fit/backends/__init__.py new file mode 100644 index 0000000000..0b62539fa9 --- /dev/null +++ b/src/n3fit/backends/__init__.py @@ -0,0 +1,8 @@ +from n3fit.backends.keras_backend.debug_mode import set_initial_state, clear_backend_state +from n3fit.backends.keras_backend.MetaLayer import MetaLayer +from n3fit.backends.keras_backend.MetaModel import MetaModel +from n3fit.backends.keras_backend.base_layers import concatenate, Lambda, base_layer_selector +from n3fit.backends.keras_backend import losses +from n3fit.backends.keras_backend import operations + +print("Using Keras backend") diff --git a/n3fit/backends/keras_backend/MetaLayer.py b/src/n3fit/backends/keras_backend/MetaLayer.py similarity index 100% rename from n3fit/backends/keras_backend/MetaLayer.py rename to src/n3fit/backends/keras_backend/MetaLayer.py diff --git a/n3fit/backends/keras_backend/MetaModel.py b/src/n3fit/backends/keras_backend/MetaModel.py similarity index 100% rename from n3fit/backends/keras_backend/MetaModel.py rename to src/n3fit/backends/keras_backend/MetaModel.py diff --git a/src/n3fit/backends/keras_backend/__init__.py b/src/n3fit/backends/keras_backend/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/n3fit/backends/keras_backend/base_layers.py b/src/n3fit/backends/keras_backend/base_layers.py similarity index 100% rename from n3fit/backends/keras_backend/base_layers.py rename to src/n3fit/backends/keras_backend/base_layers.py diff --git a/n3fit/backends/keras_backend/debug_mode.py b/src/n3fit/backends/keras_backend/debug_mode.py similarity index 100% rename from n3fit/backends/keras_backend/debug_mode.py rename to src/n3fit/backends/keras_backend/debug_mode.py diff --git a/n3fit/backends/keras_backend/losses.py b/src/n3fit/backends/keras_backend/losses.py similarity index 100% rename from n3fit/backends/keras_backend/losses.py rename to src/n3fit/backends/keras_backend/losses.py diff --git a/n3fit/backends/keras_backend/operations.py b/src/n3fit/backends/keras_backend/operations.py similarity index 100% rename from n3fit/backends/keras_backend/operations.py rename to src/n3fit/backends/keras_backend/operations.py diff --git a/n3fit/constrains.py b/src/n3fit/constrains.py similarity index 97% rename from n3fit/constrains.py rename to src/n3fit/constrains.py index 5094c80d1e..955676a950 100644 --- a/n3fit/constrains.py +++ b/src/n3fit/constrains.py @@ -3,9 +3,9 @@ """ import numpy as np -from layers import xDivide, MSR_Normalization, xIntegrator, xMultiply -from backends import operations -from backends import MetaModel +from n3fit.layers import xDivide, MSR_Normalization, xIntegrator, xMultiply +from n3fit.backends import operations +from n3fit.backends import MetaModel def gen_integration_input(nx): diff --git a/n3fit/create_testset.py b/src/n3fit/create_testset.py similarity index 98% rename from n3fit/create_testset.py rename to src/n3fit/create_testset.py index a5f333cb89..9891577d92 100644 --- a/n3fit/create_testset.py +++ b/src/n3fit/create_testset.py @@ -21,7 +21,7 @@ def test_runcard(runcard_file, datasets_out): data_tests.append({"dataset": dataset, "frac": 1.0}) # TODO copy the dictionary from the runcard instead # Create a test experiment - from ModelTrainer import TESTNAME + from n3fit.ModelTrainer import TESTNAME test_experiment = { 'experiment' : TESTNAME, 'datasets' : data_tests diff --git a/n3fit/evolven3fit/evolven3fit.cc b/src/n3fit/evolven3fit/evolven3fit.cc similarity index 100% rename from n3fit/evolven3fit/evolven3fit.cc rename to src/n3fit/evolven3fit/evolven3fit.cc diff --git a/n3fit/evolven3fit/makefile b/src/n3fit/evolven3fit/makefile similarity index 100% rename from n3fit/evolven3fit/makefile rename to src/n3fit/evolven3fit/makefile diff --git a/n3fit/evolven3fit/version.h b/src/n3fit/evolven3fit/version.h similarity index 100% rename from n3fit/evolven3fit/version.h rename to src/n3fit/evolven3fit/version.h diff --git a/n3fit/filetrials.py b/src/n3fit/filetrials.py similarity index 100% rename from n3fit/filetrials.py rename to src/n3fit/filetrials.py diff --git a/n3fit/fit.py b/src/n3fit/fit.py similarity index 96% rename from n3fit/fit.py rename to src/n3fit/fit.py index cca41b039a..c4d954c0b0 100644 --- a/n3fit/fit.py +++ b/src/n3fit/fit.py @@ -29,7 +29,7 @@ def fit( # Call the script to generate a runcard with a test-set and immediately exit if create_test_card: - from create_testset import create_testset + from n3fit.create_testset import create_testset create_testset(experiments, runcard_file=create_test_card) return 0 @@ -38,22 +38,22 @@ def fit( if debug: # If debug is active, fix the initial state this should make the run reproducible # (important to avoid non-deterministic multithread or hidden states) - from backends import set_initial_state + from n3fit.backends import set_initial_state set_initial_state(debug=debug) ############### # All potentially backend dependent imports should come inside the fit function # so they can eventually be set from the runcard - from ModelTrainer import ModelTrainer - from writer import storefit - from backends import MetaModel - import reader - import constrains + from n3fit.ModelTrainer import ModelTrainer + from n3fit.writer import storefit + from n3fit.backends import MetaModel + import n3fit.reader as reader + import n3fit.constrains as constrains if hyperopt: import hyperopt as hyper - import filetrials + import n3fit.filetrials as filetrials status_ok = hyper.STATUS_OK else: @@ -154,7 +154,7 @@ def fit( # this block # ######################################################################## if hyperopt: - from HyperScanner import HyperScanner + from n3fit.HyperScanner import HyperScanner the_scanner = HyperScanner(parameters) diff --git a/n3fit/layers/DIS.py b/src/n3fit/layers/DIS.py similarity index 91% rename from n3fit/layers/DIS.py rename to src/n3fit/layers/DIS.py index 891909cb41..3e000b741e 100644 --- a/n3fit/layers/DIS.py +++ b/src/n3fit/layers/DIS.py @@ -1,5 +1,5 @@ import numpy as np -from layers.Observable import Observable +from n3fit.layers.Observable import Observable class DIS(Observable): diff --git a/n3fit/layers/DY.py b/src/n3fit/layers/DY.py similarity index 96% rename from n3fit/layers/DY.py rename to src/n3fit/layers/DY.py index ba344eeed5..d4ced23ebf 100644 --- a/n3fit/layers/DY.py +++ b/src/n3fit/layers/DY.py @@ -1,5 +1,5 @@ import numpy as np -from layers.Observable import Observable +from n3fit.layers.Observable import Observable class DY(Observable): diff --git a/n3fit/layers/Integration.py b/src/n3fit/layers/Integration.py similarity index 98% rename from n3fit/layers/Integration.py rename to src/n3fit/layers/Integration.py index e85aa57389..f261d9a16c 100644 --- a/n3fit/layers/Integration.py +++ b/src/n3fit/layers/Integration.py @@ -1,4 +1,4 @@ -from backends import MetaLayer +from n3fit.backends import MetaLayer class xDivide(MetaLayer): diff --git a/n3fit/layers/Mask.py b/src/n3fit/layers/Mask.py similarity index 95% rename from n3fit/layers/Mask.py rename to src/n3fit/layers/Mask.py index 671424d9c9..dd50aa903e 100644 --- a/n3fit/layers/Mask.py +++ b/src/n3fit/layers/Mask.py @@ -1,5 +1,5 @@ import numpy as np -from backends import MetaLayer +from n3fit.backends import MetaLayer class Mask(MetaLayer): diff --git a/n3fit/layers/Observable.py b/src/n3fit/layers/Observable.py similarity index 96% rename from n3fit/layers/Observable.py rename to src/n3fit/layers/Observable.py index 678473ac2e..3c9522c297 100644 --- a/n3fit/layers/Observable.py +++ b/src/n3fit/layers/Observable.py @@ -1,5 +1,5 @@ import sys -from backends import MetaLayer +from n3fit.backends import MetaLayer class Observable(MetaLayer): diff --git a/n3fit/layers/Preprocessing.py b/src/n3fit/layers/Preprocessing.py similarity index 98% rename from n3fit/layers/Preprocessing.py rename to src/n3fit/layers/Preprocessing.py index ee40f4e73c..bfedfe1d65 100644 --- a/n3fit/layers/Preprocessing.py +++ b/src/n3fit/layers/Preprocessing.py @@ -1,4 +1,4 @@ -from backends import MetaLayer +from n3fit.backends import MetaLayer BASIS_SIZE = 8 diff --git a/src/n3fit/layers/__init__.py b/src/n3fit/layers/__init__.py new file mode 100644 index 0000000000..99577d2799 --- /dev/null +++ b/src/n3fit/layers/__init__.py @@ -0,0 +1,6 @@ +from n3fit.layers.Preprocessing import Rotation, Preprocessing +from n3fit.layers.Integration import xDivide, xIntegrator, MSR_Normalization, xMultiply +from n3fit.layers.DIS import DIS +from n3fit.layers.DY import DY +from n3fit.layers.Mask import Mask +from n3fit.backends import MetaLayer diff --git a/n3fit/model_gen.py b/src/n3fit/model_gen.py similarity index 95% rename from n3fit/model_gen.py rename to src/n3fit/model_gen.py index 90a4fb8f8e..b624ad07d2 100644 --- a/n3fit/model_gen.py +++ b/src/n3fit/model_gen.py @@ -6,15 +6,15 @@ pdfNN_layer_generator: Generates the PDF NN layer to be fitted """ -from layers import DIS -from layers import DY -from layers import Mask -from layers import Preprocessing, Rotation - -from backends import operations -from backends import losses -from backends import MetaLayer -from backends import base_layer_selector, concatenate, Lambda +from n3fit.layers import DIS +from n3fit.layers import DY +from n3fit.layers import Mask +from n3fit.layers import Preprocessing, Rotation + +from n3fit.backends import operations +from n3fit.backends import losses +from n3fit.backends import MetaLayer +from n3fit.backends import base_layer_selector, concatenate, Lambda def observable_generator( diff --git a/n3fit/n3fit.py b/src/n3fit/n3fit.py similarity index 99% rename from n3fit/n3fit.py rename to src/n3fit/n3fit.py index 9ff1beb423..ed20e99dd3 100755 --- a/n3fit/n3fit.py +++ b/src/n3fit/n3fit.py @@ -24,7 +24,7 @@ actions_ = ['datacuts::theory fit'] ) -N3FIT_PROVIDERS = ["fit"] +N3FIT_PROVIDERS = ["n3fit.fit"] log = logging.getLogger(__name__) @@ -169,7 +169,9 @@ def run(self): print(colors.color_exception(e.__class__, e, e.__traceback__), file=sys.stderr) sys.exit(1) - -if __name__ == "__main__": +def main(): a = N3FitApp() a.main() + +if __name__ == "__main__": + main() diff --git a/n3fit/plotting.py b/src/n3fit/plotting.py similarity index 99% rename from n3fit/plotting.py rename to src/n3fit/plotting.py index cafa5ba308..ee7bf7e6bb 100755 --- a/n3fit/plotting.py +++ b/src/n3fit/plotting.py @@ -582,7 +582,7 @@ def process_slice(df_slice): ) key_info[key_name] = possible_values - from HyperAlgorithm import HyperAlgorithm + from n3fit.HyperAlgorithm import HyperAlgorithm hyperalg = HyperAlgorithm( key_info=key_info, fail_threshold=65, how_many_to_kill=how_many_to_kill, remove_by_key=remove_by_key diff --git a/n3fit/reader.py b/src/n3fit/reader.py similarity index 100% rename from n3fit/reader.py rename to src/n3fit/reader.py diff --git a/n3fit/writer.py b/src/n3fit/writer.py similarity index 99% rename from n3fit/writer.py rename to src/n3fit/writer.py index 3d8d255683..5ed62f9430 100644 --- a/n3fit/writer.py +++ b/src/n3fit/writer.py @@ -1,5 +1,5 @@ -from ruamel import yaml import numpy as np +from reportengine.compat import yaml def evln2lha(evln): # evln Basis {"PHT","SNG","GLU","VAL","V03","V08","V15","V24","V35","T03","T08","T15","T24","T35"}; From 023d3e3fd63707c576c2962f9ffb7db457cd7089 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Sat, 22 Jun 2019 16:59:33 +0200 Subject: [PATCH 403/429] added setup.py --- setup.py | 11 +++++++++++ 1 file changed, 11 insertions(+) create mode 100644 setup.py diff --git a/setup.py b/setup.py new file mode 100644 index 0000000000..dfe2f3091d --- /dev/null +++ b/setup.py @@ -0,0 +1,11 @@ +from setuptools import setup, find_packages + +setup( + name="n3fit", + version="0.9", + entry_points = {'console_scripts': + ['n3fit = n3fit.n3fit:main'] + }, + package_dir = {'':'src/'}, + packages=find_packages('src'), +) From e5554db73ecd705e62481127149103bab7b5bd16 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Fri, 21 Jun 2019 11:26:27 +0200 Subject: [PATCH 404/429] reorganize a bit the code and make the hyperopt plotting into its own script as well Signed-off-by: juacrumar --- setup.py | 8 +++++--- src/n3fit/fit.py | 10 +++++----- src/n3fit/{ => hyper_optimization}/HyperAlgorithm.py | 0 src/n3fit/{ => hyper_optimization}/HyperScanner.py | 0 src/n3fit/hyper_optimization/__init__.py | 0 src/n3fit/{ => hyper_optimization}/create_testset.py | 0 src/n3fit/{ => hyper_optimization}/filetrials.py | 0 src/n3fit/{ => hyper_optimization}/plotting.py | 9 ++++++--- src/n3fit/io/__init__.py | 0 src/n3fit/{ => io}/reader.py | 0 src/n3fit/{ => io}/writer.py | 0 11 files changed, 16 insertions(+), 11 deletions(-) rename src/n3fit/{ => hyper_optimization}/HyperAlgorithm.py (100%) rename src/n3fit/{ => hyper_optimization}/HyperScanner.py (100%) create mode 100644 src/n3fit/hyper_optimization/__init__.py rename src/n3fit/{ => hyper_optimization}/create_testset.py (100%) rename src/n3fit/{ => hyper_optimization}/filetrials.py (100%) rename src/n3fit/{ => hyper_optimization}/plotting.py (99%) create mode 100644 src/n3fit/io/__init__.py rename src/n3fit/{ => io}/reader.py (100%) rename src/n3fit/{ => io}/writer.py (100%) diff --git a/setup.py b/setup.py index dfe2f3091d..e68ce3f562 100644 --- a/setup.py +++ b/setup.py @@ -3,9 +3,11 @@ setup( name="n3fit", version="0.9", - entry_points = {'console_scripts': - ['n3fit = n3fit.n3fit:main'] - }, package_dir = {'':'src/'}, packages=find_packages('src'), + + entry_points = {'console_scripts': + ['n3fit = n3fit.n3fit:main', + 'n3Hyperplot = n3fit.hyper_optimization.plotting:main'], + }, ) diff --git a/src/n3fit/fit.py b/src/n3fit/fit.py index c4d954c0b0..f4f804ea32 100644 --- a/src/n3fit/fit.py +++ b/src/n3fit/fit.py @@ -29,7 +29,7 @@ def fit( # Call the script to generate a runcard with a test-set and immediately exit if create_test_card: - from n3fit.create_testset import create_testset + from n3fit.hyper_optimization.create_testset import create_testset create_testset(experiments, runcard_file=create_test_card) return 0 @@ -46,14 +46,14 @@ def fit( # All potentially backend dependent imports should come inside the fit function # so they can eventually be set from the runcard from n3fit.ModelTrainer import ModelTrainer - from n3fit.writer import storefit + from n3fit.io.writer import storefit from n3fit.backends import MetaModel - import n3fit.reader as reader + import n3fit.io.reader as reader import n3fit.constrains as constrains if hyperopt: import hyperopt as hyper - import n3fit.filetrials as filetrials + import n3fit.hyper_optimization.filetrials as filetrials status_ok = hyper.STATUS_OK else: @@ -154,7 +154,7 @@ def fit( # this block # ######################################################################## if hyperopt: - from n3fit.HyperScanner import HyperScanner + from n3fit.hyper_optimization.HyperScanner import HyperScanner the_scanner = HyperScanner(parameters) diff --git a/src/n3fit/HyperAlgorithm.py b/src/n3fit/hyper_optimization/HyperAlgorithm.py similarity index 100% rename from src/n3fit/HyperAlgorithm.py rename to src/n3fit/hyper_optimization/HyperAlgorithm.py diff --git a/src/n3fit/HyperScanner.py b/src/n3fit/hyper_optimization/HyperScanner.py similarity index 100% rename from src/n3fit/HyperScanner.py rename to src/n3fit/hyper_optimization/HyperScanner.py diff --git a/src/n3fit/hyper_optimization/__init__.py b/src/n3fit/hyper_optimization/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/src/n3fit/create_testset.py b/src/n3fit/hyper_optimization/create_testset.py similarity index 100% rename from src/n3fit/create_testset.py rename to src/n3fit/hyper_optimization/create_testset.py diff --git a/src/n3fit/filetrials.py b/src/n3fit/hyper_optimization/filetrials.py similarity index 100% rename from src/n3fit/filetrials.py rename to src/n3fit/hyper_optimization/filetrials.py diff --git a/src/n3fit/plotting.py b/src/n3fit/hyper_optimization/plotting.py similarity index 99% rename from src/n3fit/plotting.py rename to src/n3fit/hyper_optimization/plotting.py index ee7bf7e6bb..84a5294a3f 100755 --- a/src/n3fit/plotting.py +++ b/src/n3fit/hyper_optimization/plotting.py @@ -582,7 +582,7 @@ def process_slice(df_slice): ) key_info[key_name] = possible_values - from n3fit.HyperAlgorithm import HyperAlgorithm + from n3fit.hyper_optimization.HyperAlgorithm import HyperAlgorithm hyperalg = HyperAlgorithm( key_info=key_info, fail_threshold=65, how_many_to_kill=how_many_to_kill, remove_by_key=remove_by_key @@ -652,8 +652,7 @@ def generate_scan_report_from_file( plot_scans(dataframe, best_trial, fileout) print("Plot saved at {0}".format(fileout)) - -if __name__ == "__main__": +def main(): from argparse import ArgumentParser import glob @@ -696,3 +695,7 @@ def generate_scan_report_from_file( remove_by_key=args.remove_by_key, save_n_best=args.save_n_best, ) + + +if __name__ == "__main__": + main() diff --git a/src/n3fit/io/__init__.py b/src/n3fit/io/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/src/n3fit/reader.py b/src/n3fit/io/reader.py similarity index 100% rename from src/n3fit/reader.py rename to src/n3fit/io/reader.py diff --git a/src/n3fit/writer.py b/src/n3fit/io/writer.py similarity index 100% rename from src/n3fit/writer.py rename to src/n3fit/io/writer.py From b44d1f10cc5d1fb7d28dbd3d63ab4c7853608e92 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Fri, 21 Jun 2019 12:12:23 +0200 Subject: [PATCH 405/429] added sphinx-like documentation --- src/doc/Makefile | 20 ++++++ src/doc/conf.py | 70 +++++++++++++++++++ src/doc/index.rst | 21 ++++++ src/doc/make.bat | 35 ++++++++++ src/doc/n3fit.ModelTrainer.rst | 7 ++ src/doc/n3fit.Statistics.rst | 7 ++ ...n3fit.backends.keras_backend.MetaLayer.rst | 7 ++ ...n3fit.backends.keras_backend.MetaModel.rst | 7 ++ ...fit.backends.keras_backend.base_layers.rst | 7 ++ ...3fit.backends.keras_backend.debug_mode.rst | 7 ++ .../n3fit.backends.keras_backend.losses.rst | 7 ++ ...3fit.backends.keras_backend.operations.rst | 7 ++ src/doc/n3fit.backends.keras_backend.rst | 22 ++++++ src/doc/n3fit.backends.rst | 17 +++++ src/doc/n3fit.constrains.rst | 7 ++ src/doc/n3fit.fit.rst | 7 ++ ...3fit.hyper_optimization.HyperAlgorithm.rst | 7 ++ .../n3fit.hyper_optimization.HyperScanner.rst | 7 ++ ...3fit.hyper_optimization.create_testset.rst | 7 ++ .../n3fit.hyper_optimization.filetrials.rst | 7 ++ src/doc/n3fit.hyper_optimization.plotting.rst | 7 ++ src/doc/n3fit.hyper_optimization.rst | 21 ++++++ src/doc/n3fit.io.reader.rst | 7 ++ src/doc/n3fit.io.rst | 18 +++++ src/doc/n3fit.io.writer.rst | 7 ++ src/doc/n3fit.layers.DIS.rst | 7 ++ src/doc/n3fit.layers.DY.rst | 7 ++ src/doc/n3fit.layers.Integration.rst | 7 ++ src/doc/n3fit.layers.Mask.rst | 7 ++ src/doc/n3fit.layers.Observable.rst | 7 ++ src/doc/n3fit.layers.Preprocessing.rst | 7 ++ src/doc/n3fit.layers.rst | 22 ++++++ src/doc/n3fit.model_gen.rst | 7 ++ src/doc/n3fit.n3fit.rst | 7 ++ src/doc/n3fit.rst | 32 +++++++++ src/n3fit/layers/DY.py | 3 + 36 files changed, 456 insertions(+) create mode 100644 src/doc/Makefile create mode 100644 src/doc/conf.py create mode 100644 src/doc/index.rst create mode 100644 src/doc/make.bat create mode 100644 src/doc/n3fit.ModelTrainer.rst create mode 100644 src/doc/n3fit.Statistics.rst create mode 100644 src/doc/n3fit.backends.keras_backend.MetaLayer.rst create mode 100644 src/doc/n3fit.backends.keras_backend.MetaModel.rst create mode 100644 src/doc/n3fit.backends.keras_backend.base_layers.rst create mode 100644 src/doc/n3fit.backends.keras_backend.debug_mode.rst create mode 100644 src/doc/n3fit.backends.keras_backend.losses.rst create mode 100644 src/doc/n3fit.backends.keras_backend.operations.rst create mode 100644 src/doc/n3fit.backends.keras_backend.rst create mode 100644 src/doc/n3fit.backends.rst create mode 100644 src/doc/n3fit.constrains.rst create mode 100644 src/doc/n3fit.fit.rst create mode 100644 src/doc/n3fit.hyper_optimization.HyperAlgorithm.rst create mode 100644 src/doc/n3fit.hyper_optimization.HyperScanner.rst create mode 100644 src/doc/n3fit.hyper_optimization.create_testset.rst create mode 100644 src/doc/n3fit.hyper_optimization.filetrials.rst create mode 100644 src/doc/n3fit.hyper_optimization.plotting.rst create mode 100644 src/doc/n3fit.hyper_optimization.rst create mode 100644 src/doc/n3fit.io.reader.rst create mode 100644 src/doc/n3fit.io.rst create mode 100644 src/doc/n3fit.io.writer.rst create mode 100644 src/doc/n3fit.layers.DIS.rst create mode 100644 src/doc/n3fit.layers.DY.rst create mode 100644 src/doc/n3fit.layers.Integration.rst create mode 100644 src/doc/n3fit.layers.Mask.rst create mode 100644 src/doc/n3fit.layers.Observable.rst create mode 100644 src/doc/n3fit.layers.Preprocessing.rst create mode 100644 src/doc/n3fit.layers.rst create mode 100644 src/doc/n3fit.model_gen.rst create mode 100644 src/doc/n3fit.n3fit.rst create mode 100644 src/doc/n3fit.rst diff --git a/src/doc/Makefile b/src/doc/Makefile new file mode 100644 index 0000000000..d4bb2cbb9e --- /dev/null +++ b/src/doc/Makefile @@ -0,0 +1,20 @@ +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = . +BUILDDIR = _build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/src/doc/conf.py b/src/doc/conf.py new file mode 100644 index 0000000000..63545862cd --- /dev/null +++ b/src/doc/conf.py @@ -0,0 +1,70 @@ +# Configuration file for the Sphinx documentation builder. +# +# This file only contains a selection of the most common options. For a full +# list see the documentation: +# http://www.sphinx-doc.org/en/master/config + +# -- Path setup -------------------------------------------------------------- + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +# +# import os +# import sys +# sys.path.insert(0, '/home/jumax9/Workspace/HabitacionDelTiempo/SetupTools/gradients/src/n3fit') + + +# -- Project information ----------------------------------------------------- + +project = 'n3fit' +copyright = '2019, Author' +author = 'Author' + + +# -- General configuration --------------------------------------------------- + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + 'sphinx.ext.autodoc', + 'sphinx.ext.viewcode', + 'sphinx.ext.todo', +] + +# Add any paths that contain templates here, relative to this directory. +templates_path = ['_templates'] + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = 'en' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +# This pattern also affects html_static_path and html_extra_path. +exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] + + +# -- Options for HTML output ------------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +# +html_theme = 'alabaster' + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ['_static'] + + +# -- Extension configuration ------------------------------------------------- + +# -- Options for todo extension ---------------------------------------------- + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = True diff --git a/src/doc/index.rst b/src/doc/index.rst new file mode 100644 index 0000000000..07d5f1a853 --- /dev/null +++ b/src/doc/index.rst @@ -0,0 +1,21 @@ +.. n3fit documentation master file, created by + sphinx-quickstart on Fri Jun 21 12:06:02 2019. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +Welcome to n3fit's documentation! +================================= + +.. toctree:: + :maxdepth: 4 + :caption: Contents: + + n3fit + + +Indices and tables +================== + +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` diff --git a/src/doc/make.bat b/src/doc/make.bat new file mode 100644 index 0000000000..922152e96a --- /dev/null +++ b/src/doc/make.bat @@ -0,0 +1,35 @@ +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set SOURCEDIR=. +set BUILDDIR=_build + +if "%1" == "" goto help + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The 'sphinx-build' command was not found. Make sure you have Sphinx + echo.installed, then set the SPHINXBUILD environment variable to point + echo.to the full path of the 'sphinx-build' executable. Alternatively you + echo.may add the Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.http://sphinx-doc.org/ + exit /b 1 +) + +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% + +:end +popd diff --git a/src/doc/n3fit.ModelTrainer.rst b/src/doc/n3fit.ModelTrainer.rst new file mode 100644 index 0000000000..1555f00adb --- /dev/null +++ b/src/doc/n3fit.ModelTrainer.rst @@ -0,0 +1,7 @@ +n3fit.ModelTrainer module +========================= + +.. automodule:: n3fit.ModelTrainer + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.Statistics.rst b/src/doc/n3fit.Statistics.rst new file mode 100644 index 0000000000..07dd9297e8 --- /dev/null +++ b/src/doc/n3fit.Statistics.rst @@ -0,0 +1,7 @@ +n3fit.Statistics module +======================= + +.. automodule:: n3fit.Statistics + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.backends.keras_backend.MetaLayer.rst b/src/doc/n3fit.backends.keras_backend.MetaLayer.rst new file mode 100644 index 0000000000..14a60086da --- /dev/null +++ b/src/doc/n3fit.backends.keras_backend.MetaLayer.rst @@ -0,0 +1,7 @@ +n3fit.backends.keras\_backend.MetaLayer module +============================================== + +.. automodule:: n3fit.backends.keras_backend.MetaLayer + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.backends.keras_backend.MetaModel.rst b/src/doc/n3fit.backends.keras_backend.MetaModel.rst new file mode 100644 index 0000000000..dd3096ef53 --- /dev/null +++ b/src/doc/n3fit.backends.keras_backend.MetaModel.rst @@ -0,0 +1,7 @@ +n3fit.backends.keras\_backend.MetaModel module +============================================== + +.. automodule:: n3fit.backends.keras_backend.MetaModel + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.backends.keras_backend.base_layers.rst b/src/doc/n3fit.backends.keras_backend.base_layers.rst new file mode 100644 index 0000000000..a221f13aa5 --- /dev/null +++ b/src/doc/n3fit.backends.keras_backend.base_layers.rst @@ -0,0 +1,7 @@ +n3fit.backends.keras\_backend.base\_layers module +================================================= + +.. automodule:: n3fit.backends.keras_backend.base_layers + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.backends.keras_backend.debug_mode.rst b/src/doc/n3fit.backends.keras_backend.debug_mode.rst new file mode 100644 index 0000000000..377a1a9326 --- /dev/null +++ b/src/doc/n3fit.backends.keras_backend.debug_mode.rst @@ -0,0 +1,7 @@ +n3fit.backends.keras\_backend.debug\_mode module +================================================ + +.. automodule:: n3fit.backends.keras_backend.debug_mode + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.backends.keras_backend.losses.rst b/src/doc/n3fit.backends.keras_backend.losses.rst new file mode 100644 index 0000000000..82013fb1c5 --- /dev/null +++ b/src/doc/n3fit.backends.keras_backend.losses.rst @@ -0,0 +1,7 @@ +n3fit.backends.keras\_backend.losses module +=========================================== + +.. automodule:: n3fit.backends.keras_backend.losses + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.backends.keras_backend.operations.rst b/src/doc/n3fit.backends.keras_backend.operations.rst new file mode 100644 index 0000000000..ce7b4bd08c --- /dev/null +++ b/src/doc/n3fit.backends.keras_backend.operations.rst @@ -0,0 +1,7 @@ +n3fit.backends.keras\_backend.operations module +=============================================== + +.. automodule:: n3fit.backends.keras_backend.operations + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.backends.keras_backend.rst b/src/doc/n3fit.backends.keras_backend.rst new file mode 100644 index 0000000000..6f6493b8a3 --- /dev/null +++ b/src/doc/n3fit.backends.keras_backend.rst @@ -0,0 +1,22 @@ +n3fit.backends.keras\_backend package +===================================== + +Submodules +---------- + +.. toctree:: + + n3fit.backends.keras_backend.MetaLayer + n3fit.backends.keras_backend.MetaModel + n3fit.backends.keras_backend.base_layers + n3fit.backends.keras_backend.debug_mode + n3fit.backends.keras_backend.losses + n3fit.backends.keras_backend.operations + +Module contents +--------------- + +.. automodule:: n3fit.backends.keras_backend + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.backends.rst b/src/doc/n3fit.backends.rst new file mode 100644 index 0000000000..7caa216410 --- /dev/null +++ b/src/doc/n3fit.backends.rst @@ -0,0 +1,17 @@ +n3fit.backends package +====================== + +Subpackages +----------- + +.. toctree:: + + n3fit.backends.keras_backend + +Module contents +--------------- + +.. automodule:: n3fit.backends + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.constrains.rst b/src/doc/n3fit.constrains.rst new file mode 100644 index 0000000000..e2a25a13c0 --- /dev/null +++ b/src/doc/n3fit.constrains.rst @@ -0,0 +1,7 @@ +n3fit.constrains module +======================= + +.. automodule:: n3fit.constrains + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.fit.rst b/src/doc/n3fit.fit.rst new file mode 100644 index 0000000000..e0d86d6adc --- /dev/null +++ b/src/doc/n3fit.fit.rst @@ -0,0 +1,7 @@ +n3fit.fit module +================ + +.. automodule:: n3fit.fit + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.hyper_optimization.HyperAlgorithm.rst b/src/doc/n3fit.hyper_optimization.HyperAlgorithm.rst new file mode 100644 index 0000000000..417e34bee2 --- /dev/null +++ b/src/doc/n3fit.hyper_optimization.HyperAlgorithm.rst @@ -0,0 +1,7 @@ +n3fit.hyper\_optimization.HyperAlgorithm module +=============================================== + +.. automodule:: n3fit.hyper_optimization.HyperAlgorithm + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.hyper_optimization.HyperScanner.rst b/src/doc/n3fit.hyper_optimization.HyperScanner.rst new file mode 100644 index 0000000000..d5bcd55769 --- /dev/null +++ b/src/doc/n3fit.hyper_optimization.HyperScanner.rst @@ -0,0 +1,7 @@ +n3fit.hyper\_optimization.HyperScanner module +============================================= + +.. automodule:: n3fit.hyper_optimization.HyperScanner + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.hyper_optimization.create_testset.rst b/src/doc/n3fit.hyper_optimization.create_testset.rst new file mode 100644 index 0000000000..f318f1b6f3 --- /dev/null +++ b/src/doc/n3fit.hyper_optimization.create_testset.rst @@ -0,0 +1,7 @@ +n3fit.hyper\_optimization.create\_testset module +================================================ + +.. automodule:: n3fit.hyper_optimization.create_testset + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.hyper_optimization.filetrials.rst b/src/doc/n3fit.hyper_optimization.filetrials.rst new file mode 100644 index 0000000000..fa15b0342c --- /dev/null +++ b/src/doc/n3fit.hyper_optimization.filetrials.rst @@ -0,0 +1,7 @@ +n3fit.hyper\_optimization.filetrials module +=========================================== + +.. automodule:: n3fit.hyper_optimization.filetrials + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.hyper_optimization.plotting.rst b/src/doc/n3fit.hyper_optimization.plotting.rst new file mode 100644 index 0000000000..035fc75844 --- /dev/null +++ b/src/doc/n3fit.hyper_optimization.plotting.rst @@ -0,0 +1,7 @@ +n3fit.hyper\_optimization.plotting module +========================================= + +.. automodule:: n3fit.hyper_optimization.plotting + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.hyper_optimization.rst b/src/doc/n3fit.hyper_optimization.rst new file mode 100644 index 0000000000..11c8dbdd5c --- /dev/null +++ b/src/doc/n3fit.hyper_optimization.rst @@ -0,0 +1,21 @@ +n3fit.hyper\_optimization package +================================= + +Submodules +---------- + +.. toctree:: + + n3fit.hyper_optimization.HyperAlgorithm + n3fit.hyper_optimization.HyperScanner + n3fit.hyper_optimization.create_testset + n3fit.hyper_optimization.filetrials + n3fit.hyper_optimization.plotting + +Module contents +--------------- + +.. automodule:: n3fit.hyper_optimization + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.io.reader.rst b/src/doc/n3fit.io.reader.rst new file mode 100644 index 0000000000..0959f48d9a --- /dev/null +++ b/src/doc/n3fit.io.reader.rst @@ -0,0 +1,7 @@ +n3fit.io.reader module +====================== + +.. automodule:: n3fit.io.reader + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.io.rst b/src/doc/n3fit.io.rst new file mode 100644 index 0000000000..52067f22e8 --- /dev/null +++ b/src/doc/n3fit.io.rst @@ -0,0 +1,18 @@ +n3fit.io package +================ + +Submodules +---------- + +.. toctree:: + + n3fit.io.reader + n3fit.io.writer + +Module contents +--------------- + +.. automodule:: n3fit.io + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.io.writer.rst b/src/doc/n3fit.io.writer.rst new file mode 100644 index 0000000000..42dbcf326b --- /dev/null +++ b/src/doc/n3fit.io.writer.rst @@ -0,0 +1,7 @@ +n3fit.io.writer module +====================== + +.. automodule:: n3fit.io.writer + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.layers.DIS.rst b/src/doc/n3fit.layers.DIS.rst new file mode 100644 index 0000000000..94be9c314e --- /dev/null +++ b/src/doc/n3fit.layers.DIS.rst @@ -0,0 +1,7 @@ +n3fit.layers.DIS module +======================= + +.. automodule:: n3fit.layers.DIS + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.layers.DY.rst b/src/doc/n3fit.layers.DY.rst new file mode 100644 index 0000000000..850909aa5c --- /dev/null +++ b/src/doc/n3fit.layers.DY.rst @@ -0,0 +1,7 @@ +n3fit.layers.DY module +====================== + +.. automodule:: n3fit.layers.DY + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.layers.Integration.rst b/src/doc/n3fit.layers.Integration.rst new file mode 100644 index 0000000000..59bf9e9268 --- /dev/null +++ b/src/doc/n3fit.layers.Integration.rst @@ -0,0 +1,7 @@ +n3fit.layers.Integration module +=============================== + +.. automodule:: n3fit.layers.Integration + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.layers.Mask.rst b/src/doc/n3fit.layers.Mask.rst new file mode 100644 index 0000000000..16b4e54b55 --- /dev/null +++ b/src/doc/n3fit.layers.Mask.rst @@ -0,0 +1,7 @@ +n3fit.layers.Mask module +======================== + +.. automodule:: n3fit.layers.Mask + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.layers.Observable.rst b/src/doc/n3fit.layers.Observable.rst new file mode 100644 index 0000000000..7e0408e77a --- /dev/null +++ b/src/doc/n3fit.layers.Observable.rst @@ -0,0 +1,7 @@ +n3fit.layers.Observable module +============================== + +.. automodule:: n3fit.layers.Observable + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.layers.Preprocessing.rst b/src/doc/n3fit.layers.Preprocessing.rst new file mode 100644 index 0000000000..4d480ae374 --- /dev/null +++ b/src/doc/n3fit.layers.Preprocessing.rst @@ -0,0 +1,7 @@ +n3fit.layers.Preprocessing module +================================= + +.. automodule:: n3fit.layers.Preprocessing + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.layers.rst b/src/doc/n3fit.layers.rst new file mode 100644 index 0000000000..8f99298cfb --- /dev/null +++ b/src/doc/n3fit.layers.rst @@ -0,0 +1,22 @@ +n3fit.layers package +==================== + +Submodules +---------- + +.. toctree:: + + n3fit.layers.DIS + n3fit.layers.DY + n3fit.layers.Integration + n3fit.layers.Mask + n3fit.layers.Observable + n3fit.layers.Preprocessing + +Module contents +--------------- + +.. automodule:: n3fit.layers + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.model_gen.rst b/src/doc/n3fit.model_gen.rst new file mode 100644 index 0000000000..01e0704ff8 --- /dev/null +++ b/src/doc/n3fit.model_gen.rst @@ -0,0 +1,7 @@ +n3fit.model\_gen module +======================= + +.. automodule:: n3fit.model_gen + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.n3fit.rst b/src/doc/n3fit.n3fit.rst new file mode 100644 index 0000000000..b0fd2c52e9 --- /dev/null +++ b/src/doc/n3fit.n3fit.rst @@ -0,0 +1,7 @@ +n3fit.n3fit module +================== + +.. automodule:: n3fit.n3fit + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.rst b/src/doc/n3fit.rst new file mode 100644 index 0000000000..0deff595a4 --- /dev/null +++ b/src/doc/n3fit.rst @@ -0,0 +1,32 @@ +n3fit package +============= + +Subpackages +----------- + +.. toctree:: + + n3fit.backends + n3fit.hyper_optimization + n3fit.io + n3fit.layers + +Submodules +---------- + +.. toctree:: + + n3fit.ModelTrainer + n3fit.Statistics + n3fit.constrains + n3fit.fit + n3fit.model_gen + n3fit.n3fit + +Module contents +--------------- + +.. automodule:: n3fit + :members: + :undoc-members: + :show-inheritance: diff --git a/src/n3fit/layers/DY.py b/src/n3fit/layers/DY.py index d4ced23ebf..9069565ec1 100644 --- a/src/n3fit/layers/DY.py +++ b/src/n3fit/layers/DY.py @@ -3,6 +3,9 @@ class DY(Observable): + """ + Computes the convolution of two PDFs and one fktable + """ def gen_basis(self, basis): basis_to_pairs = basis.reshape(-1, 2) self.basis = basis_to_pairs From 935edf8b7e7cd3a5dc32abbce1993fd9d651d886 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Fri, 21 Jun 2019 12:46:10 +0200 Subject: [PATCH 406/429] fix typo --- src/n3fit/ModelTrainer.py | 6 +++--- src/n3fit/{constrains.py => constraints.py} | 2 +- src/n3fit/fit.py | 6 +++--- 3 files changed, 7 insertions(+), 7 deletions(-) rename src/n3fit/{constrains.py => constraints.py} (98%) diff --git a/src/n3fit/ModelTrainer.py b/src/n3fit/ModelTrainer.py index 5b8240b013..edc45f08f9 100644 --- a/src/n3fit/ModelTrainer.py +++ b/src/n3fit/ModelTrainer.py @@ -12,7 +12,7 @@ *called in this way because it accept a dictionary of parameters which defines the Neural Network """ import n3fit.model_gen as model_gen -import n3fit.constrains as constrains +import n3fit.constraints as constraints import n3fit.Statistics as Statistics from n3fit.backends import MetaModel, clear_backend_state @@ -334,7 +334,7 @@ def _generate_pdf(self, params): if self.impose_sumrule: # Impose the sumrule # Inyect here momentum sum rule, effecively modifying layer_pdf - layer_pdf, integrator_input = constrains.msr_impose(layers["fitbasis"], layer_pdf) + layer_pdf, integrator_input = constraints.msr_impose(layers["fitbasis"], layer_pdf) self.input_list.append(integrator_input) self.layer_pdf = layer_pdf @@ -490,7 +490,7 @@ def hyperparametizable(self, params): final_loss = validation_multiplier * validation_loss final_loss += test_multiplier * testing_loss final_loss /= test_multiplier + validation_multiplier - arc_lengths = constrains.compute_arclength(layers["fitbasis"], verbose=False) + arc_lengths = constraints.compute_arclength(layers["fitbasis"], verbose=False) else: final_loss = experimental_loss arc_lengths = None diff --git a/src/n3fit/constrains.py b/src/n3fit/constraints.py similarity index 98% rename from src/n3fit/constrains.py rename to src/n3fit/constraints.py index 955676a950..b630d1a891 100644 --- a/src/n3fit/constrains.py +++ b/src/n3fit/constraints.py @@ -1,5 +1,5 @@ """ - Functions to imposem the Momentum sum rule on the PDFs + The constraint module include functions to impose the momentum sum rules on the PDFs """ import numpy as np diff --git a/src/n3fit/fit.py b/src/n3fit/fit.py index f4f804ea32..9d5eb05e18 100644 --- a/src/n3fit/fit.py +++ b/src/n3fit/fit.py @@ -49,7 +49,7 @@ def fit( from n3fit.io.writer import storefit from n3fit.backends import MetaModel import n3fit.io.reader as reader - import n3fit.constrains as constrains + import n3fit.constraints as constraints if hyperopt: import hyperopt as hyper @@ -236,7 +236,7 @@ def fit( ) # Compute the arclengths - arc_lengths = constrains.compute_arclength(layers["fitbasis"], verbose=True) + arc_lengths = constraints.compute_arclength(layers["fitbasis"], verbose=True) # Construct the chi2exp file allchi2_lines = validation_object.chi2exps_str() # Construct the preproc file @@ -279,4 +279,4 @@ def pdf_function(export_xgrid): validation_object.plot() # print out the integration of the sum rule in case we want to check it's not broken - # constrains.check_integration(layer_pdf, integrator_input) + # constraints.check_integration(layer_pdf, integrator_input) From 4403bfa2fcaa523740abfc8d765ae8ee5fca1076 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Fri, 21 Jun 2019 17:41:35 +0200 Subject: [PATCH 407/429] fixed a few typos and added documentation for the root folder and io modules --- src/doc/conf.py | 13 +++-- src/doc/index.rst | 2 +- src/doc/n3fit.constrains.rst | 7 --- src/doc/n3fit.constraints.rst | 7 +++ src/doc/n3fit.rst | 2 +- src/n3fit/ModelTrainer.py | 96 +++++++++++++++++++---------------- src/n3fit/Statistics.py | 31 ++++++----- src/n3fit/constraints.py | 6 ++- src/n3fit/fit.py | 3 ++ src/n3fit/io/reader.py | 92 ++++++++++++++++++++++++--------- src/n3fit/io/writer.py | 19 ++++++- src/n3fit/model_gen.py | 68 +++++++++++++++++-------- 12 files changed, 229 insertions(+), 117 deletions(-) delete mode 100644 src/doc/n3fit.constrains.rst create mode 100644 src/doc/n3fit.constraints.rst diff --git a/src/doc/conf.py b/src/doc/conf.py index 63545862cd..655101669b 100644 --- a/src/doc/conf.py +++ b/src/doc/conf.py @@ -18,11 +18,13 @@ # -- Project information ----------------------------------------------------- project = 'n3fit' -copyright = '2019, Author' -author = 'Author' +copyright = '2019, JCM' +author = 'JCM' # -- General configuration --------------------------------------------------- +autodoc_member_order = 'bysource' +autodoc_default_flags = ['members', 'private-members', 'show-inheritance'] # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom @@ -31,8 +33,13 @@ 'sphinx.ext.autodoc', 'sphinx.ext.viewcode', 'sphinx.ext.todo', + 'sphinx.ext.intersphinx', + 'sphinx.ext.mathjax', + 'sphinx.ext.githubpages', ] + + # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] @@ -54,7 +61,7 @@ # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # -html_theme = 'alabaster' +html_theme = 'sphinxdoc' # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, diff --git a/src/doc/index.rst b/src/doc/index.rst index 07d5f1a853..6ea589f5d7 100644 --- a/src/doc/index.rst +++ b/src/doc/index.rst @@ -1,5 +1,5 @@ .. n3fit documentation master file, created by - sphinx-quickstart on Fri Jun 21 12:06:02 2019. + sphinx-quickstart on Fri Jun 21 12:49:31 2019. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. diff --git a/src/doc/n3fit.constrains.rst b/src/doc/n3fit.constrains.rst deleted file mode 100644 index e2a25a13c0..0000000000 --- a/src/doc/n3fit.constrains.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.constrains module -======================= - -.. automodule:: n3fit.constrains - :members: - :undoc-members: - :show-inheritance: diff --git a/src/doc/n3fit.constraints.rst b/src/doc/n3fit.constraints.rst new file mode 100644 index 0000000000..a8f852dbb1 --- /dev/null +++ b/src/doc/n3fit.constraints.rst @@ -0,0 +1,7 @@ +n3fit.constraints module +======================== + +.. automodule:: n3fit.constraints + :members: + :undoc-members: + :show-inheritance: diff --git a/src/doc/n3fit.rst b/src/doc/n3fit.rst index 0deff595a4..922d93aec1 100644 --- a/src/doc/n3fit.rst +++ b/src/doc/n3fit.rst @@ -18,7 +18,7 @@ Submodules n3fit.ModelTrainer n3fit.Statistics - n3fit.constrains + n3fit.constraints n3fit.fit n3fit.model_gen n3fit.n3fit diff --git a/src/n3fit/ModelTrainer.py b/src/n3fit/ModelTrainer.py index edc45f08f9..ed87caa7ea 100644 --- a/src/n3fit/ModelTrainer.py +++ b/src/n3fit/ModelTrainer.py @@ -2,6 +2,7 @@ ModelTrainer Class: This class provides a wrapper around the fitting code and the generation of the Neural Network + When the "hyperparametizable"* function is called with a dictionary of parameters, it generates a NN and subsequentially performs a fit. @@ -9,7 +10,7 @@ run, in particular this allows to completely reset the NN at the beginning of each iteration reusing some of the previous work. - *called in this way because it accept a dictionary of parameters which defines the Neural Network + *called in this way because it accept a dictionary of hyper-parameters which defines the Neural Network """ import n3fit.model_gen as model_gen import n3fit.constraints as constraints @@ -22,18 +23,18 @@ test_multiplier = 0.5 validation_multiplier = 0.5 - class ModelTrainer: def __init__( self, exp_info, pos_info, flavinfo, nnseed, pass_status="ok", failed_status="fail", log=None, debug=False ): """ - - exp_info: list of dictionaries containing experiments - - pos_info: list of dictionaries containing positivity sets - - flavinfo: the object returned by fitting['basis'] - - nnseed: the seed used to initialise the Neural Network, will be passed to model_gen - - log: if given, printing will be done to log.info - - debug: flag to activate some debug options + # Arguments: + - `exp_info`: list of dictionaries containing experiments + - `pos_info`: list of dictionaries containing positivity sets + - `flavinfo`: the object returned by fitting['basis'] + - `nnseed`: the seed used to initialise the Neural Network, will be passed to model_gen + - `log`: if given, printing will be done to log.info + - `debug`: flag to activate some debug options """ # Save all input information @@ -106,15 +107,19 @@ def set_hyperopt(self, on, keys=None): def _fill_the_dictionaries(self): """ This function fills the following dictionaries with fixed information, - - training: data for the fit - - validation: data which for the stopping - - experimental: 'true' data, only used for reporting purposes - - ndata_dict: a dictionary containing 'name of experiment' : Number Of Points - - the fixed information (i.e., non dependant on the parameters of the fit) is: - - experimental data (expdata) - - names of the experiment (name) - - number of experimental points (ndata) + -`training`: data for the fit + -`validation`: data which for the stopping + -`experimental`: 'true' data, only used for reporting purposes + -`ndata_dict`: a dictionary containing 'name of experiment' : Number Of Points + + Note: the dictionaries will be used at different stages filled with information that will be cleaned at every + hyperopt iteration. If not running hyperopt, the fixed-nonfixed thing makes no difference. + + The fixed information (i.e., non dependant on the parameters of the fit) contained in those dictionaries: + - `expdata`: experimental data + - `name`: names of the experiment + - `ndata`: number of experimental points + """ for exp_dict in self.exp_info: if exp_dict["name"] == TESTNAME: @@ -151,10 +156,11 @@ def _fill_the_dictionaries(self): def _model_generation(self): """ - Fills the three dictionaries with the 'model' entry - Note: before entering this function the dictionaries contain a list of inputs - and a list of outputs, but they are not connected. - This function connects inputs with outputs by injecting the PDF + Fills the three dictionaries (`training`, `validation`, `experimental`) with the `model` entry + + *Note*: before entering this function the dictionaries contain a list of inputs + and a list of outputs, but they are not connected. + This function connects inputs with outputs by injecting the PDF Compiles the validation and experimental models with fakes optimizers and learning rate as they are never trained, but this is needed by some backends in order to run evaluate on them @@ -194,10 +200,10 @@ def _model_generation(self): def _reset_observables(self): """ - Resets the 'output' and 'losses' entries of all 3 dictionaries, + Resets the 'output' and 'losses' entries of all 3 dictionaries, (`training`, `validation`, `experimental`) as well as the input_list this is necessary as these can either depend on the parametrization of the NN - or be obliterated when the backend state is reset + or be obliterated when/if the backend state is reset """ self.input_list = [] for key in ["output", "losses"]: @@ -231,8 +237,8 @@ def _generate_observables(self, params): It also fill the list of input tensors (input_list) Parameters accepted: - - pos_multiplier: the multiplier to be applied to the positivity - - pos_initial: the initial value for the positivity + - `pos_multiplier`: the multiplier to be applied to the positivity + - `pos_initial`: the initial value for the positivity """ # First reset the dictionaries @@ -284,11 +290,6 @@ def _generate_observables(self, params): # Save the positivity multiplier into the training dictionary as it will be used during training self.training["pos_multiplier"] = pos_multiplier - # If there is no validation, overwrite the values of validation with the values of training - - # if self.no_validation: - # self.validation['losses'] = self.training['losses'] - # self.validation['output'] = self.training['output'] def _generate_pdf(self, params): """ @@ -298,17 +299,18 @@ def _generate_pdf(self, params): if the sumrule is being imposed, it also updates input_list with the integrator_input tensor used to calculate the sumrule - Returns: (layers, integrator_input) - layers: a list of layers - integrator_input: input used to compute the sumrule + # Returns: (layers, integrator_input) + `layers`: a list of layers + `integrator_input`: input used to compute the sumrule both are being used at the moment for reporting purposes at the end of the fit Parameters accepted: - - nodes_per_layer - - activation_per_layer - - initializer - - layer_type - - dropout + - `nodes_per_layer` + - `activation_per_layer` + - `initializer` + - `layer_type` + - `dropout` + see model_gen.pdfNN_layer_generator for more information """ self.log_info("Generating PDF layer") @@ -346,8 +348,9 @@ def _model_compilation(self, params): Compiles the model with the data given in params Parameters accepted: - - learning_rate - - optimizer + - `learning_rate` + - `optimizer` + Optimizers accepted are backend-dependent """ training_model = self.training["model"] loss_list = self.training["losses"] @@ -392,6 +395,7 @@ def _train_and_fit(self, validation_object, epochs): return self.failed_status def _hyperopt_override(self, params): + """ Unrolls complicated hyperopt structures into very simple dictionaries""" # I love the smell of napalm in the morning for hyperkey in self.hyperkeys: item = params[hyperkey] @@ -401,13 +405,17 @@ def _hyperopt_override(self, params): def hyperparametizable(self, params): """ - Wrapper around all the functions defining the fit + Wrapper around all the functions defining the fit. + + After the ModelTrainer class has been instantiated only a call to this function, with a `params` dictionary + is necessary to generate the whole PDF model and perform a fit. This is a necessary step for hyperopt to work - Parameters used here: - - epochs: maximum number of iterations for the fit to run - - stopping_patience: patience of the stopper after finding a new minimum + Parameters used only here: + - `epochs`: maximum number of iterations for the fit to run + - `stopping_patience`: patience of the stopper after finding a new minimum + All other parameters are passed to the corresponding functions """ # Reset the internal state of the backend diff --git a/src/n3fit/Statistics.py b/src/n3fit/Statistics.py index 9776b223ca..3c077154d8 100644 --- a/src/n3fit/Statistics.py +++ b/src/n3fit/Statistics.py @@ -3,6 +3,22 @@ class Stat_Info: + """ + To instantiate the Stats_Info object we need: + - `vl_model`: The validation model, which has the same PDF layer as the training model + - `vl_data`: The validation exp data to compare to + - `ndata_dict`: A dictionary with the number of points of each experiment in the format: + `exp`: npoints in the training model for experiment exp + `exp_vl` : npoints in the training model for experiment exp + - `chi2_threshold`: at which training chi do we start checking for a stopping point? + - `save_all_each`: in which interval should we save all chi2 per experiment? + - `stopping_epochs`: after a growth in chi2 occurs, we activate the stopping monitor + if the chi2 doesnt go below the minimum after stopping_epochs, we stop + - `dont_stop`: don't care about early stopping + + # TODO: this function has outgrown its initial scope and some refactoring is needed + """ + def __init__( self, vl_model, @@ -15,20 +31,7 @@ def __init__( stopping_epochs=7000, dont_stop=False, ): - """ - To instantiate the Stats_Info object we need: - - vl_model: The validation model, which has the same PDF layer as the training model - - vl_data: The validation exp data to compare to - - ndata_dict: A dictionary with the number of points of each experiment in the format: - exp: npoints in the training model for experiment exp - exp_vl : npoints in the training model for experiment exp - - chi2_threshold: at which training chi do we start checking for a stopping point? - - save_all_each: in which interval should we save all chi2 per experiment? - - stopping_epochs: after a growth in chi2 occurs, we activate the stopping monitor - if the chi2 doesnt go below the minimum after stopping_epochs, we stop - - dont_stop: dont_stop anyway - - """ # TODO: this function has outgrown its initial scope and some refactoring is needed + self.vl_model = vl_model self.vl_data = vl_data diff --git a/src/n3fit/constraints.py b/src/n3fit/constraints.py index b630d1a891..4f948bfe1d 100644 --- a/src/n3fit/constraints.py +++ b/src/n3fit/constraints.py @@ -36,7 +36,7 @@ def gen_integration_input(nx): def msr_impose(fit_layer, final_pdf_layer, verbose=False): """ This function receives: - - pdf_fit: the 8-basis layer of PDF which we fit + - fit_layer: the 8-basis layer of PDF which we fit - final_layer: the 14-basis which is fed to the fktable It uses pdf_fit to compute the sum rule and returns a modified version of the final_pdf layer with a normalisation by which the sum rule is imposed @@ -82,6 +82,10 @@ def ultimate_pdf(x): def check_integration(ultimate_pdf, integration_input, verbose=False): + """ + Naive integrator for quick checks. + Receives the final PDF layer, computes the 4 MSR and prints out the result + """ nx = int(1e4) xgrid, weights_array = gen_integration_input(nx) xgrid_input = operations.numpy_to_input(xgrid) diff --git a/src/n3fit/fit.py b/src/n3fit/fit.py index 9d5eb05e18..78f7c9e0ff 100644 --- a/src/n3fit/fit.py +++ b/src/n3fit/fit.py @@ -26,6 +26,9 @@ def fit( debug=False, create_test_card=None, ): + """ + This action will (upon having read a validcard) process a full PDF fit for a given replica. + """ # Call the script to generate a runcard with a test-set and immediately exit if create_test_card: diff --git a/src/n3fit/io/reader.py b/src/n3fit/io/reader.py index 4fc45a3475..32af116cc7 100644 --- a/src/n3fit/io/reader.py +++ b/src/n3fit/io/reader.py @@ -11,6 +11,18 @@ def make_tr_val_mask(datasets, exp_name, seed): + """ + Generates the training and validation masks for a given experiment + + # Arguments: + - `datasets`: list of datasets corresponding to one experiment + - `exp_name`: name of the experiment + - `seed` : seed for the random tr/vl split + + # Return + - `trmask`: numpy boolean array + - `vlmask`: not trmask + """ # Set the seed for the experiment nameseed = int(hashlib.sha256(exp_name.encode()).hexdigest(), 16) % 10 ** 8 nameseed += seed @@ -35,11 +47,16 @@ def make_tr_val_mask(datasets, exp_name, seed): def fk_parser(fk, is_hadronic=False): """ - Input: fktable object - Output: - - dictionary with information about the fktable: - {'xgrid', 'nx', 'ndata', 'basis', 'fktable'} - - fktable: numpy array representation of the fktable reshaped to be of shape (n datapoints, n flavours, n x) + # Arguments: + - `fk`: fktable object + + # Return: + - `dict_out`: dictionary with all information about the fktable + - 'xgrid' + - 'nx' + - 'ndata' + - 'basis' + - 'fktable' """ # Dimensional information @@ -94,20 +111,26 @@ def fk_parser(fk, is_hadronic=False): def common_data_reader_dataset(dataset_c, dataset_spec): - """ Import fktable, common data and experimental data for the given data_name - Returns a (len 0 list of) dictionary with: - - dataset: full dataset object from which all data has been extracted - - hadronic: is hadronic? - - operation: operation to perform on the fktables below - - fktables : a list of dictionaries with the following items - - ndata: number of data points - - nonzero/nbasis: number of PDF entries which are non zero - - basis: array containing the information of the non-zero PDF entries - - nx: number of points in the xgrid (1-D), i.e., for hadronic the total number is nx * nx - - xgrid: grid of x points - - fktable: 3/4-D array of shape (ndata, nonzero, nx, (nx)) - - If the flag return_raw is set to true, returns the dataset_dict direcly + """ + Import fktable, common data and experimental data for the given data_name + + # Arguments: + - `dataset_c`: c representation of the dataset object + - `dataset_spec`: python representation of the dataset object + + #Returns: + - `[dataset_dict]`: a (len 1 list of) dictionary with: + - dataset: full dataset object from which all data has been extracted + - hadronic: is hadronic? + - operation: operation to perform on the fktables below + - fktables : a list of dictionaries with the following items + - ndata: number of data points + - nonzero/nbasis: number of PDF entries which are non zero + - basis: array containing the information of the non-zero PDF entries + - nx: number of points in the xgrid (1-D), i.e., for hadronic the total number is nx * nx + - xgrid: grid of x points + - fktable: 3/4-D array of shape (ndata, nonzero, nx, (nx)) + instead of the dictionary object that model_gen needs """ how_many = dataset_c.GetNSigma() @@ -139,12 +162,28 @@ def common_data_reader(spec, t0pdfset, replica_seeds=None, trval_seeds=None): """ Wrapper to read the information from validphys object This function receives either a validphyis experiment or dataset objects - andSreturns a dictionary with: - - datasets: list of dtaset dictionaries - - invcovmat: inverse of the covariant matrix - - expdata: experimental data (len(expdata) = ndata) - - ndata: number of data points - - experiment: True/False, is it an experiment? + + # Returns: + - `all_dict_out`: a dictionary containing all the information of the experiment/dataset + for training, validation and experimental + 'datasets' : list of the datasets contained in the experiment + 'name' : name of the experiment + 'expdata_true' : non-replica data + 'invcovmat_true' : inverse of the covmat (non-replica) + + 'trmask' : mask for the training data + 'invcovmat' : inverse of the covmat for the training data + 'ndata' : number of datapoints for the training data + 'expdata' : experimental data (replica'd) for training + + 'vlmask' : (same as above for validation) + 'invcovmat_vl' : (same as above for validation) + 'ndata_vl' : (same as above for validation) + 'expdata_vl' : (same as above for validation) + + 'positivity' : bool - is this a positivity set? + + """ if replica_seeds is None: replica_seeds = [] @@ -232,6 +271,9 @@ def common_data_reader(spec, t0pdfset, replica_seeds=None, trval_seeds=None): def positivity_reader(pos_spec): + """ + Specific reader for positivity sets + """ pos_c = pos_spec.load() ndata = pos_c.GetNData() diff --git a/src/n3fit/io/writer.py b/src/n3fit/io/writer.py index 5ed62f9430..924853d2ad 100644 --- a/src/n3fit/io/writer.py +++ b/src/n3fit/io/writer.py @@ -61,7 +61,24 @@ def evln2lha(evln): def storefit(pdf_function, replica, replica_path, fitname, q20, nite, erf_vl, erf_tr, chi2, arc_lengths, all_chi2_lines, all_preproc_lines, pos_state): - + """ + One-trick function which generates all output in the NNPDF format so that all other scripts can still be used. + + # Argument: + - `pdf_function`: PDF function (usually the .predict method of a model) that receives as input a point in x and returns an array of 14 flavours + - `replica` : the replica index + - `replica_path` : path for this replica + - `fitname` : name of the fit + - `q20` : q_0^2 + - `nite` : number of epochs before stopping + - `erf_vl` : chi2 for the validation + - `erf_tr` : chi2 for the training + - `chi2` : chi2 for the exp (unreplica'd data) + - `arc_lengths` : list with the arclengths of all replicas + - `all_chi2_lines`: a big log with the chi2 every 100 epochs + - `all_preproc_lines`: (None) + - `pos_state`: positivity passing flag + """ # build exportgrid xgrid = np.array([1.00000000000000e-09, 1.29708482343957e-09, 1.68242903474257e-09, 2.18225315420583e-09, 2.83056741739819e-09, 3.67148597892941e-09, 4.76222862935315e-09, 6.17701427376180e-09, 8.01211109898438e-09, 1.03923870607245e-08, 1.34798064073805e-08, 1.74844503691778e-08, 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6.00792616663950e-01, 6.09010408792398e-01, 6.17233959782450e-01, 6.25463128838069e-01, 6.33697780169485e-01, 6.41937782762089e-01, 6.50183010158361e-01, 6.58433340251944e-01, 6.66688655093089e-01, 6.74948840704708e-01, 6.83213786908386e-01, 6.91483387159697e-01, 6.99757538392251e-01, 7.08036140869916e-01, 7.16319098046733e-01, 7.24606316434025e-01, 7.32897705474271e-01, 7.41193177421404e-01, 7.49492647227008e-01, 7.57796032432224e-01, 7.66103253064927e-01, 7.74414231541921e-01, 7.82728892575836e-01, 7.91047163086478e-01, 7.99368972116378e-01, 8.07694250750291e-01, 8.16022932038457e-01, 8.24354950923382e-01, 8.32690244169987e-01, 8.41028750298844e-01, 8.49370409522600e-01, 8.57715163684985e-01, 8.66062956202683e-01, 8.74413732009721e-01, 8.82767437504206e-01, 8.91124020497459e-01, 8.99483430165226e-01, 9.07845617001021e-01, 9.16210532771399e-01, 9.24578130473112e-01, 9.32948364292029e-01, 9.41321189563734e-01, 9.49696562735755e-01, 9.58074441331298e-01, 9.66454783914439e-01, 9.74837550056705e-01, 9.83222700304978e-01, 9.91610196150662e-01, 1.00000000000000e+00]).reshape(-1, 1) diff --git a/src/n3fit/model_gen.py b/src/n3fit/model_gen.py index b624ad07d2..c01da17329 100644 --- a/src/n3fit/model_gen.py +++ b/src/n3fit/model_gen.py @@ -1,10 +1,11 @@ """ - Library of functions to generate the NN objects + Library of functions which generate the NN objects - observable_generator: - Generates the output layers - pdfNN_layer_generator: - Generates the PDF NN layer to be fitted + Contains: + # observable_generator: + Generates the output layers + # pdfNN_layer_generator: + Generates the PDF NN layer to be fitted """ from n3fit.layers import DIS from n3fit.layers import DY @@ -21,18 +22,25 @@ def observable_generator( spec_dict, positivity_initial=None, positivity_multiplier=1.05, verbose=False, positivity_steps=300 ): """ - Receives a spec object (can be either a dataset or an experiment) - Takes some optional arguments: - positivity_initial: if given, set this number as the positivity multiplier for epoch 1 - positivity_multiplier: how much the positivity increases every 100 steps - positivity_steps: if positivity_initial is not given, computes the initial by assuming we want, + This function generates the observable generator. + It loads the fktable in the convolution layer (hadronic or DIS) and prepares the loss function. + If the dataset is a positivity dataset acts in consequence. + + # Arguments: + - `spec_dict`: a dictionary-like object containing the information of the observable + - `positivity_initial`: if given, set this number as the positivity multiplier for epoch 1 + - `positivity_multiplier`: how much the positivity increases every 100 steps + - `positivity_steps`: if positivity_initial is not given, computes the initial by assuming we want, after 100**positivity_steps epochs, to have the lambda of the runcard - returns a tuple with: - (input_layer, obs_layer, loss function, exp_data) - - input_layer: list of input layers - - obs_layer: one single output layer - - loss_function: one single loss function - - exp_data: one single set of true data to compare to + + # Returns: a dictionary with: + - `inputs`: input layer + - `output`: output layer (unmasked) + - `loss` : loss function (unmasked) + - `output_tr`: output layer (training) + - `loss_tr` : loss function (training) + - `output_vl`: output layer (validation) + - `loss_vl` : loss function (validation) """ spec_name = spec_dict["name"] model_inputs = [] @@ -146,8 +154,28 @@ def pdfNN_layer_generator( dropout=0.0, ): """ - Generates a NN that takes as input the xgrid value and outputs the basis of 14 PDFs - fk tables use + Generates the PDF model which takes as input a point in x (from 0 to 1) and outputs a basis of 14 PDFs. + It generates the preprocessing of the x into a set (x, log(x)), the arbitrary NN to fit the form of the PDF + and the preprocessing factors. + + # Arguments: + - `inp`: dimension of the xgrid. If inp=2, turns the x point into a (x, log(x)) pair + - `nodes' : list of the number of nodes per layer of the PDF NN. Default: [15,8] + - `activation`: list of activation functions to apply to each layer. Default: ["tanh", "linear"] + if the number of activation function does not match the number of layers, it will add + copies of the first activation function found + - `initializer_name`: selects the initializer of the weights of the NN. Default: glorot_normal + - `layer_type`: selects the type of architecture of the NN. Default: dense + - `flav_info`: dictionary containing the information about each PDF (basis dictionary in the runcard) + to be used by Preprocessing + - `out`: number of output flavours of the model + - `seed`: seed to initialize the NN + - `dropout`: rate of dropout layer by layer + + # Returns: + - `layer_pdf`: a function which, upon calling it with a tensor, will connect all PDF layers and output a tensor of size (batch_size, `out`) + - `dict_layers`: a dictionary containing some of the intermediate layers (necessary for debugging and to compute intermediate quantities) + """ if nodes is None: nodes = [15, 8] @@ -157,8 +185,8 @@ def pdfNN_layer_generator( ln = len(nodes) la = len(activations) if ln > la: - activations = (ln - la) * ["tanh"] + activations - print("Did not received enough activation functions, appending copies of the first activation foudn") + activations = (ln - la) * activations[0] + activations + print("Did not received enough activation functions, appending copies of the first activation foound") elif la > ln: activations = activations[-ln:] print("Received more activations than layers, using only the last ones") From 19104d80ff67a825b8010e2a9f9c35d14bb85de1 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Sat, 22 Jun 2019 16:30:56 +0200 Subject: [PATCH 408/429] added documentation for layers module --- src/n3fit/backends/keras_backend/MetaLayer.py | 13 +++-- src/n3fit/constraints.py | 11 ++-- src/n3fit/layers/DIS.py | 22 +++++++- src/n3fit/layers/DY.py | 24 ++++++++- src/n3fit/layers/Integration.py | 51 ++++++++++++------- src/n3fit/layers/Mask.py | 10 +++- src/n3fit/layers/Observable.py | 24 +++++---- src/n3fit/layers/Preprocessing.py | 21 +++++++- 8 files changed, 132 insertions(+), 44 deletions(-) diff --git a/src/n3fit/backends/keras_backend/MetaLayer.py b/src/n3fit/backends/keras_backend/MetaLayer.py index 1ea27f6d09..6bc4a82a15 100644 --- a/src/n3fit/backends/keras_backend/MetaLayer.py +++ b/src/n3fit/backends/keras_backend/MetaLayer.py @@ -105,13 +105,18 @@ def tensor_ones(self, shape, **kwargs): Generates a tensor of ones of the given shape """ return K.ones(shape, **kwargs) + def tensor_ones_like(self, tensor, **kwargs): + """ + Generates a tensor of ones of the same shape as the input tensor + """ + return K.ones_like(tensor, **kwargs) def many_replication(self, grid, replications, axis=0, **kwargs): """ - Generates a tensor with one extra dimension: - a repetition of "grid" n times along the given axis - from keras documentation: - If x has shape (s1, s2, s3) and axis is 1, the output will have shape (s1, s2 * rep, s3) + Generates a tensor with one extra dimension: + a repetition of "grid" n times along the given axis + from keras documentation: + If x has shape (s1, s2, s3) and axis is 1, the output will have shape (s1, s2 * rep, s3) """ return K.repeat_elements(grid, rep=replications, axis=axis, **kwargs) diff --git a/src/n3fit/constraints.py b/src/n3fit/constraints.py index 4f948bfe1d..e32eaf2813 100644 --- a/src/n3fit/constraints.py +++ b/src/n3fit/constraints.py @@ -35,13 +35,12 @@ def gen_integration_input(nx): def msr_impose(fit_layer, final_pdf_layer, verbose=False): """ - This function receives: - - fit_layer: the 8-basis layer of PDF which we fit - - final_layer: the 14-basis which is fed to the fktable - It uses pdf_fit to compute the sum rule and returns a modified version of the final_pdf layer - with a normalisation by which the sum rule is imposed + This function receives: + - fit_layer: the 8-basis layer of PDF which we fit + - final_layer: the 14-basis which is fed to the fktable + It uses pdf_fit to compute the sum rule and returns a modified version of the final_pdf layer + with a normalisation by which the sum rule is imposed """ - # 1. Generate the fake input which will be used to integrate nx = int(2e3) xgrid, weights_array = gen_integration_input(nx) diff --git a/src/n3fit/layers/DIS.py b/src/n3fit/layers/DIS.py index 3e000b741e..f85b7a4bbd 100644 --- a/src/n3fit/layers/DIS.py +++ b/src/n3fit/layers/DIS.py @@ -3,7 +3,18 @@ class DIS(Observable): + """ + The DIS class receives a list of active flavours and a fktable + and prepares a layer that performs the convolution of said fktable with + the incoming pdf. + """ def gen_basis(self, basis): + """ + Receives a list of active flavours and generates a boolean mask + + # Arguments: + - `basis`: list of active flavours + """ if basis is not None: self.basis = np.zeros(self.nfl, dtype=bool) for i in basis: @@ -12,10 +23,19 @@ def gen_basis(self, basis): self.basis = np.ones(self.nfl, dtype=bool) def call(self, pdf_in): + """ + Thiss function perform the fktable \otimes pdf convolution. + + Firs pass the input PDF through a mask to remove the unactive flavour, then transpose the PDF + to have everything in the correct order and finally perform a tensorproduct contracting both pdf indices. + # Arguments: + - `pdf_in`: rank 2 tensor (xgrid, flavours) + # Returns: + - `result`: rank 1 tensor (ndata) + """ pdf_masked = self.boolean_mask(pdf_in, self.basis, axis=1) pdfT = self.transpose(pdf_masked) - result = self.tensor_product(self.fktable, pdfT, axes=2) return result diff --git a/src/n3fit/layers/DY.py b/src/n3fit/layers/DY.py index 9069565ec1..bafb2eb691 100644 --- a/src/n3fit/layers/DY.py +++ b/src/n3fit/layers/DY.py @@ -4,14 +4,36 @@ class DY(Observable): """ - Computes the convolution of two PDFs and one fktable + Computes the convolution of two PDFs (the same one twice) and one fktable """ def gen_basis(self, basis): + """ + Receives an array of combinations and make it into an array of 2-tuples + + # Arguments: + - `basis`: array of combinations in the form + [i1,j1,i2,j2,i3,j3...] + """ basis_to_pairs = basis.reshape(-1, 2) self.basis = basis_to_pairs self.basis_size = len(self.basis) def call(self, pdf_in): + """ + Thiss function perform the fktable \otimes pdf \otimes pdf convolution. + + First uses the basis of active combinations to generate a luminosity tensor + with only some flavours active. + + The concatenate function returns a rank-3 tensor (combination_index, xgrid, xgrid) + which can in turn be contracted with the rank-4 fktable. + + # Arguments: + - `pdf_in`: rank 2 tensor (xgrid, flavours) + + # Returns: + - `result`: rank 1 tensor (ndata) + """ # This is a convoluted way of applying a mask, but it is faster # mask-version below lumi_fun = [] diff --git a/src/n3fit/layers/Integration.py b/src/n3fit/layers/Integration.py index f261d9a16c..7e7c05e87a 100644 --- a/src/n3fit/layers/Integration.py +++ b/src/n3fit/layers/Integration.py @@ -1,18 +1,19 @@ from n3fit.backends import MetaLayer - class xDivide(MetaLayer): """ - Divide the pdf by x - By default: dimension = 8 dividing the entries corresponding to v, v3, v8 - """ + Divide the pdf by x + By default: dimension = 8 dividing the entries corresponding to v, v3, v8 - def __init__(self, output_dim=8, div_list=None, size=1000, **kwargs): + # Arguments: + - `output_dim`: dimension of the pdf + - `div_list`: list of indices to be divided by X (by default [2,3,4]; [v, v3, v8] + """ + def __init__(self, output_dim=8, div_list=None, **kwargs): if div_list is None: div_list = [2, 3, 4] self.output_dim = output_dim self.div_list = div_list - self.one = self.tensor_ones((size, 1)) super(MetaLayer, self).__init__(**kwargs) def compute_output_shape(self, input_shape): @@ -20,11 +21,12 @@ def compute_output_shape(self, input_shape): def call(self, x): out_array = [] + one = self.tensor_ones_like(x) for i in range(self.output_dim): if i in self.div_list: - res = self.one / x + res = one / x else: - res = self.one + res = one out_array.append(res) out_tensor = self.concatenate(out_array, axis=1) return out_tensor @@ -32,16 +34,19 @@ def call(self, x): class xMultiply(MetaLayer): """ - Multiply the pdf by x - By default: dimension = 8 multiply all entries but v, v3, v8 + Multiply the pdf by x + By default: dimension = 8 multiply all entries but v, v3, v8 + + # Arguments: + - `output_dim`: dimension of the pdf + - `mul_list`: list of indices *not* to multiply by X (by default [2,3,4]; [v, v3, v8] """ - def __init__(self, output_dim=8, div_list=None, size=1000, **kwargs): + def __init__(self, output_dim=8, mul_list=None, **kwargs): if div_list is None: div_list = [2, 3, 4] self.output_dim = output_dim self.div_list = div_list - self.one = self.tensor_ones((size, 1)) super(MetaLayer, self).__init__(**kwargs) def compute_output_shape(self, input_shape): @@ -49,11 +54,12 @@ def compute_output_shape(self, input_shape): def call(self, x): out_array = [] + one = self.tensor_ones_like(x) for i in range(self.output_dim): - if i in self.div_list: - res = self.one + if i in self.mul_list: + res = one else: - res = self.one * x + res = one * x out_array.append(res) out_tensor = self.concatenate(out_array, axis=1) return out_tensor @@ -75,15 +81,19 @@ def compute_output_shape(self, input_shape): return (self.output_dim,) def call(self, x): + """ + Receives as input a rank-2 tensor `x` (xpoints, flavours) + and returns a summation on the first index (xpoints) of tensor `x`, weighted by the + weights of the grid (in the most common case, 1/grid_points) + """ xx = x * self.grid_weights return self.sum(xx, axis=0) class MSR_Normalization(MetaLayer): """ - Applies the normalisation so that the PDF output fullfills the sum rules + Applies the normalisation so that the PDF output fullfills the sum rules """ - def __init__(self, output_dim=14, **kwargs): self.output_dim = output_dim self.one = self.tensor_ones((1, 1)) @@ -93,8 +103,11 @@ def __init__(self, output_dim=14, **kwargs): def compute_output_shape(self, input_shape): return (self.output_dim,) - def call(self, integrated): - x = integrated + def call(self, x): + """ + Receives as input a tensor with the value of the MSR for each PDF + and returns a rank-1 tensor with the normalization factor A_i of each flavour + """ pdf_sr = self.concatenate( [ self.one, # photon diff --git a/src/n3fit/layers/Mask.py b/src/n3fit/layers/Mask.py index dd50aa903e..29499f85f0 100644 --- a/src/n3fit/layers/Mask.py +++ b/src/n3fit/layers/Mask.py @@ -4,9 +4,15 @@ class Mask(MetaLayer): """ - Mask is a layer used to apply both a boolean mask and a multiplier - """ + This layers applies a boolean mask to a rank-1 input tensor. + + Its most common use is the training/validation split. + The mask admit a multiplier for all outputs + # Arguments: + - `bool_mask`: numpy array with the boolean mask to be applied + - `c`: constant multiplier for every output + """ def __init__(self, bool_mask, c=1.0, **kwargs): self.output_dim = np.count_nonzero(bool_mask) self.mask = bool_mask diff --git a/src/n3fit/layers/Observable.py b/src/n3fit/layers/Observable.py index 3c9522c297..91e66980ea 100644 --- a/src/n3fit/layers/Observable.py +++ b/src/n3fit/layers/Observable.py @@ -4,15 +4,21 @@ class Observable(MetaLayer): """ - This class is the parent of the DIS and DY convolutions. - All backend-dependent code necessary for the convolutions - is (must be) concentrated here - - The methods gen_basis and call must be overriden by the observables - where - - gen_basis: it is called by the initializer and generates the mask between - fktables and pdfs - - call: this is what does the actual operation + This class is the parent of the DIS and DY convolutions. + All backend-dependent code necessary for the convolutions + is (must be) concentrated here + + The methods gen_basis and call must be overriden by the observables + where + - gen_basis: it is called by the initializer and generates the mask between + fktables and pdfs + - call: this is what does the actual operation + + # Arguments: + - `output_dim`: output dimension of the observable (can be read from the fktable) + - `fktable`: fktable + - `basis`: list of active combinations of flavours + - `nfl` : total number of flavours in the pdf (default = 14) """ def __init__(self, output_dim, fktable, basis=None, nfl=14, **kwargs): diff --git a/src/n3fit/layers/Preprocessing.py b/src/n3fit/layers/Preprocessing.py index bfedfe1d65..36f76b40dd 100644 --- a/src/n3fit/layers/Preprocessing.py +++ b/src/n3fit/layers/Preprocessing.py @@ -1,9 +1,22 @@ from n3fit.backends import MetaLayer - BASIS_SIZE = 8 - class Preprocessing(MetaLayer): + """ + Applies preprocessing to the PDF. + + This layer generates a factor (1-x)^beta*x^(1-alpha) where both beta and alpha + are parameters to be fitted. + + Both beta and alpha are initialized uniformly within the ranges allowed in the runcard and + then they are only allowed to move between those two values (with a hard wall in each side) + + # Arguments: + - `output_dim`: size of the fitbasis + - `trainable`: bool, whether beta and alpha should be fixed + - `flav_info`: dictionary containg the information with the limits of alpha and beta + - `seed`: seed for the initializer of the random alpha, beta values + """ def __init__(self, output_dim=BASIS_SIZE, trainable=True, flav_info=None, seed=0, **kwargs): self.output_dim = output_dim self.trainable = trainable @@ -58,6 +71,10 @@ def call(self, x): class Rotation(MetaLayer): + """ + Applies a transformation from the dimension-8 fit basis + to the dimension-14 evolution basis + """ def __init__(self, output_dim=14, **kwargs): self.output_dim = output_dim super(MetaLayer, self).__init__(**kwargs, name="evolution") From 60955cea6fe125ab957e183f5affe606e694960b Mon Sep 17 00:00:00 2001 From: juacrumar Date: Sat, 22 Jun 2019 17:01:58 +0200 Subject: [PATCH 409/429] readd example runcards --- runcards/Basic_runcard.yml | 149 +++++++++++++++++ runcards/PN3_DIS_example.yml | 179 ++++++++++++++++++++ runcards/PN3_Global_example.yml | 265 ++++++++++++++++++++++++++++++ src/n3fit/readme.md | 280 ++++++++++++++++++++++++++++++++ 4 files changed, 873 insertions(+) create mode 100644 runcards/Basic_runcard.yml create mode 100644 runcards/PN3_DIS_example.yml create mode 100644 runcards/PN3_Global_example.yml create mode 100644 src/n3fit/readme.md diff --git a/runcards/Basic_runcard.yml b/runcards/Basic_runcard.yml new file mode 100644 index 0000000000..4da9e07eea --- /dev/null +++ b/runcards/Basic_runcard.yml @@ -0,0 +1,149 @@ +# +# Configuration file for NNPDF++ +# + +############################################################ +description: NNPDF3.1 NLO fitted charm global dataset + +############################################################ +# frac: training fraction +# ewk: apply ewk k-factors +# sys: systematics treatment (see systypes) +experiments: + - experiment: ALL + datasets: + - { dataset: SLACP, frac: 0.5} + - { dataset: NMCPD, frac: 0.5 } + +############################################################ +datacuts: + t0pdfset : NNPDF31_nlo_as_0118 # PDF set to generate t0 covmat + q2min : 3.49 # Q2 minimum + w2min : 12.5 # W2 minimum + combocuts : NNPDF31 # NNPDF3.0 final kin. cuts + jetptcut_tev : 0 # jet pt cut for tevatron + jetptcut_lhc : 0 # jet pt cut for lhc + wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions + jetycut_tev : 1e30 # jet rap. cut for tevatron + jetycut_lhc : 1e30 # jet rap. cut for lhc + dymasscut_min: 0 # dy inv.mass. min cut + dymasscut_max: 1e30 # dy inv.mass. max cut + jetcfactcut : 1e30 # jet cfact. cut + +############################################################ +theory: + theoryid: 53 # database id + +########################################################### +hyperscan: + stopping: + min_epochs: 5e2 + max_epochs: 40e2 + min_patience: 0.10 + max_patience: 0.40 + positivity: + min_multiplier: 1.00000001 + max_multiplier: 1.00000002 + min_initial: + max_initial: + optimizer: + names: 'ALL' # Use all implemented optimizers + min_lr: 0.0005 + max_lr: 0.5 + architecture: + initializers: 'ALL' + max_drop: 0.15 + n_layers: [2,3,4] + min_units: 5 + max_units: 50 + activations: ['sigmoid', 'tanh'] + + +############################################################ +fitting: + genrep : True # on = generate MC replicas, False = use real data + trvlseed: 1 + nnseed: 2 + mcseed: 3 + epochs: 900 + # CHANGE THE FOLLOWING OPTIONS + save: False + savefile: 'weights.hd5' + load: False + loadfile: 'weights.hd5' + plot: False + + parameters: # This defines the parameter dictionary that is passed to the Model Trainer + nodes_per_layer: [15, 10, 8] + activation_per_layer: ['sigmoid', 'sigmoid', 'linear'] + initializer: 'glorot_normal' + learning_rate: 0.01 + optimizer: 'RMSprop' + epochs: 900 + pos_multiplier: 1.05 + pos_initial: # believe the pos_lambda below + stopping_patience: 0.30 # percentage of the number of epochs + layer_type: 'dense' + dropout: 0.0 + + # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) + # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) + # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) + # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) + fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. + basis: + # remeber to change the name of PDF accordingly with fitbasis + # pos: True for NN squared + # mutsize: mutation size + # mutprob: mutation probability + # smallx, largex: preprocessing ranges + - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.05,1.19], largex: [1.47,2.70] } + - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.94,1.25], largex: [0.11,5.87] } + - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.54,0.75], largex: [1.15,2.76] } + - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.21,0.57], largex: [1.35,3.08] } + - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.52,0.76], largex: [0.77,3.56] } + - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.37,1.52], largex: [1.74,3.39] } + - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.56,1.29], largex: [1.45,3.03] } + - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.12,1.19], largex: [1.83,6.70] } + +############################################################ +stopping: + stopmethod: LOOKBACK # Stopping method + lbdelta : 0 # Delta for look-back stopping + mingen : 0 # Minimum number of generations + window : 500 # Window for moving average + minchi2 : 3.5 # Minimum chi2 + minchi2exp: 6.0 # Minimum chi2 for experiments + nsmear : 200 # Smear for stopping + deltasm : 200 # Delta smear for stopping + rv : 2 # Ratio for validation stopping + rt : 0.5 # Ratio for training stopping + epsilon : 1e-6 # Gradient epsilon + +############################################################ +positivity: + posdatasets: + - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier + +############################################################ +closuretest: + filterseed : 0 # Random seed to be used in filtering data partitions + fakedata : False # on = to use FAKEPDF to generate pseudo-data + fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data + errorsize : 1.0 # uncertainties rescaling + fakenoise : False # on = to add random fluctuations to pseudo-data + rancutprob : 1.0 # Fraction of data to be included in the fit + rancutmethod: 0 # Method to select rancutprob data fraction + rancuttrnval: False # 0(1) to output training(valiation) chi2 in report + printpdf4gen: False # To print info on PDFs during minimization + +############################################################ +lhagrid: + nx : 150 + xmin: 1e-9 + xmed: 0.1 + xmax: 1.0 + nq : 50 + qmax: 1e5 + +############################################################ diff --git a/runcards/PN3_DIS_example.yml b/runcards/PN3_DIS_example.yml new file mode 100644 index 0000000000..19efd8f33e --- /dev/null +++ b/runcards/PN3_DIS_example.yml @@ -0,0 +1,179 @@ +# +# Configuration file for NNPDF++ +# + +############################################################ +description: NNPDF3.1 NNLO fitted charm global dataset + +############################################################ +# frac: training fraction +# ewk: apply ewk k-factors +# sys: systematics treatment (see systypes) +experiments: +# Fixed target DIS + - experiment: NMC + datasets: + - { dataset: NMCPD, frac: 0.5 } + - { dataset: NMC, frac: 0.5 } + - experiment: SLAC + datasets: + - { dataset: SLACP, frac: 0.5} + - { dataset: SLACD, frac: 0.5} + - experiment: BCDMS + datasets: + - { dataset: BCDMSP, frac: 0.5} + - { dataset: BCDMSD, frac: 0.5} + - experiment: CHORUS + datasets: + - { dataset: CHORUSNU, frac: 0.5} + - { dataset: CHORUSNB, frac: 0.5} + - experiment: NTVDMN + datasets: + - { dataset: NTVNUDMN, frac: 0.5} + - { dataset: NTVNBDMN, frac: 0.5} +# EMC F2C data +# - experiment: EMCF2C +# datasets: +# - { dataset: EMCF2C, frac: 1.0} +# HERA data + - experiment: HERACOMB + datasets: + - { dataset: HERACOMBNCEM , frac: 0.5} + - { dataset: HERACOMBNCEP460, frac: 0.5} + - { dataset: HERACOMBNCEP575, frac: 0.5} + - { dataset: HERACOMBNCEP820, frac: 0.5} + - { dataset: HERACOMBNCEP920, frac: 0.5} + - { dataset: HERACOMBCCEM , frac: 0.5} + - { dataset: HERACOMBCCEP , frac: 0.5} +# Combined HERA charm production cross-sections + - experiment: HERAF2CHARM + datasets: + - { dataset: HERAF2CHARM, frac: 0.5} +# F2bottom data + - experiment: F2BOTTOM + datasets: + - { dataset: H1HERAF2B, frac: 1.0} + - { dataset: ZEUSHERAF2B, frac: 1.0} + + +############################################################ +datacuts: + t0pdfset : NNPDF31_nnlo_as_0118 # PDF set to generate t0 covmat + q2min : 3.49 # Q2 minimum + w2min : 12.5 # W2 minimum + combocuts : NNPDF31 # NNPDF3.0 final kin. cuts + jetptcut_tev : 0 # jet pt cut for tevatron + jetptcut_lhc : 0 # jet pt cut for lhc + wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions + jetycut_tev : 1e30 # jet rap. cut for tevatron + jetycut_lhc : 1e30 # jet rap. cut for lhc + dymasscut_min: 0 # dy inv.mass. min cut + dymasscut_max: 1e30 # dy inv.mass. max cut + jetcfactcut : 1e30 # jet cfact. cut + +############################################################ +theory: + theoryid: 53 # database id + +############################################################ +fitting: + + trvlseed: 1 + nnseed: 2 + mcseed: 3 + epochs: 20000 + save: False + savefile: 'weights.hd5' + load: False + loadfile: 'weights.hd5' + plot: False + + seed : 9453862133528 # set the seed for the random generator + genrep : True # on = generate MC replicas, off = use real data + rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc + fitmethod: NGA # Minimization algorithm + nmutants : 80 # Number of mutants for replica + paramtype: NN + nnodes : [2,5,3,1] + + parameters: # This defines the parameter dictionary that is passed to the Model Trainer + nodes_per_layer: [35, 25, 8] + activation_per_layer: ['tanh', 'tanh', 'linear'] + initializer: 'glorot_normal' + learning_rate: 0.01 + optimizer: 'Adadelta' + epochs: 40000 + pos_multiplier: 1.09 + pos_initial: 10.0 # believe the pos_lambda above + stopping_patience: 0.30 # percentage of the number of epochs + layer_type: 'dense' + dropout: 0.0 + + # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) + # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) + # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) + # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) + fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. + basis: + # remeber to change the name of PDF accordingly with fitbasis + # pos: True for NN squared + # mutsize: mutation size + # mutprob: mutation probability + # smallx, largex: preprocessing ranges + - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } + - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } + - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } + - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } + - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } + - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } + - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } + - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } + +############################################################ +stopping: + stopmethod: LOOKBACK # Stopping method + lbdelta : 0 # Delta for look-back stopping + mingen : 0 # Minimum number of generations + window : 500 # Window for moving average + minchi2 : 3.5 # Minimum chi2 + minchi2exp: 6.0 # Minimum chi2 for experiments + nsmear : 200 # Smear for stopping + deltasm : 200 # Delta smear for stopping + rv : 2 # Ratio for validation stopping + rt : 0.5 # Ratio for training stopping + epsilon : 1e-6 # Gradient epsilon + +############################################################ +positivity: + posdatasets: + - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier + - { dataset: POSF2DW, poslambda: 1e6 } + - { dataset: POSF2S, poslambda: 1e6 } + - { dataset: POSFLL, poslambda: 1e6 } + - { dataset: POSDYU, poslambda: 1e10 } + - { dataset: POSDYD, poslambda: 1e10 } + - { dataset: POSDYS, poslambda: 1e10 } + +############################################################ +closuretest: + filterseed : 0 # Random seed to be used in filtering data partitions + fakedata : False # on = to use FAKEPDF to generate pseudo-data + fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data + errorsize : 1.0 # uncertainties rescaling + fakenoise : False # on = to add random fluctuations to pseudo-data + rancutprob : 1.0 # Fraction of data to be included in the fit + rancutmethod: 0 # Method to select rancutprob data fraction + rancuttrnval: False # 0(1) to output training(valiation) chi2 in report + printpdf4gen: False # To print info on PDFs during minimization + +############################################################ +lhagrid: + nx : 150 + xmin: 1e-9 + xmed: 0.1 + xmax: 1.0 + nq : 50 + qmax: 1e5 + +############################################################ +debug: False diff --git a/runcards/PN3_Global_example.yml b/runcards/PN3_Global_example.yml new file mode 100644 index 0000000000..5e66e1d96e --- /dev/null +++ b/runcards/PN3_Global_example.yml @@ -0,0 +1,265 @@ +# +# Configuration file for NNPDF++ +# + +############################################################ +description: NNPDF3.1 NNLO fitted charm global dataset + +############################################################ +# frac: training fraction +# ewk: apply ewk k-factors +# sys: systematics treatment (see systypes) +experiments: +# Fixed target DIS + - experiment: NMC + datasets: + - { dataset: NMCPD, frac: 0.5 } + - { dataset: NMC, frac: 0.5 } + - experiment: SLAC + datasets: + - { dataset: SLACP, frac: 0.5} + - { dataset: SLACD, frac: 0.5} + - experiment: BCDMS + datasets: + - { dataset: BCDMSP, frac: 0.5} + - { dataset: BCDMSD, frac: 0.5} + - experiment: CHORUS + datasets: + - { dataset: CHORUSNU, frac: 0.5} + - { dataset: CHORUSNB, frac: 0.5} + - experiment: NTVDMN + datasets: + - { dataset: NTVNUDMN, frac: 0.5} + - { dataset: NTVNBDMN, frac: 0.5} +# EMC F2C data +# - experiment: EMCF2C +# datasets: +# - { dataset: EMCF2C, frac: 1.0} +# HERA data + - experiment: HERACOMB + datasets: + - { dataset: HERACOMBNCEM , frac: 0.5} + - { dataset: HERACOMBNCEP460, frac: 0.5} + - { dataset: HERACOMBNCEP575, frac: 0.5} + - { dataset: HERACOMBNCEP820, frac: 0.5} + - { dataset: HERACOMBNCEP920, frac: 0.5} + - { dataset: HERACOMBCCEM , frac: 0.5} + - { dataset: HERACOMBCCEP , frac: 0.5} +# Combined HERA charm production cross-sections + - experiment: HERAF2CHARM + datasets: + - { dataset: HERAF2CHARM, frac: 0.5} +# F2bottom data + - experiment: F2BOTTOM + datasets: + - { dataset: H1HERAF2B, frac: 1.0} + - { dataset: ZEUSHERAF2B, frac: 1.0} + # Fixed target Drell-Yan + - experiment: DYE886 + datasets: + - { dataset: DYE886R, frac: 1.0 } + - { dataset: DYE886P, frac: 0.5, cfac: [QCD] } + - experiment: DYE605 + datasets: + - { dataset: DYE605, frac: 0.5, cfac: [QCD] } +# Tevatron jets and W,Z production + - experiment: CDF + datasets: + - { dataset: CDFZRAP, frac: 1.0, cfac: [QCD] } + - { dataset: CDFR2KT, frac: 0.5, sys: 10 } + - experiment: D0 + datasets: + - { dataset: D0ZRAP, frac: 1.0, cfac: [QCD] } + - { dataset: D0WEASY, frac: 1.0, cfac: [QCD] } + - { dataset: D0WMASY, frac: 1.0, cfac: [QCD] } + # ATLAS + - experiment: ATLAS + datasets: +# ATLAS EWK + - { dataset: ATLASWZRAP36PB, frac: 1.0, cfac: [QCD] } + - { dataset: ATLASZHIGHMASS49FB, frac: 1.0, cfac: [QCD] } + - { dataset: ATLASLOMASSDY11EXT, frac: 1.0, cfac: [QCD] } + - { dataset: ATLASWZRAP11, frac: 0.5, cfac: [QCD] } +# ATLAS jets + - { dataset: ATLASR04JETS36PB, frac: 0.5, sys: 10 } + - { dataset: ATLASR04JETS2P76TEV, frac: 0.5, sys: 10 } + - { dataset: ATLAS1JET11, frac: 0.5, sys: 10 } +# ATLAS Z pt +# - { dataset: ATLASZPT7TEV, frac: 0.5, cfac: [QCD,NRM], sys: 10 } + - { dataset: ATLASZPT8TEVMDIST, frac: 0.5, cfac: [QCD], sys: 10 } + - { dataset: ATLASZPT8TEVYDIST, frac: 0.5, cfac: [QCD], sys: 10 } +# ATLAS top + - { dataset: ATLASTTBARTOT, frac: 1.0, cfac: [QCD] } + - { dataset: ATLASTOPDIFF8TEVTRAPNORM, frac: 1.0, cfac: [QCD] } +# CMS + - experiment: CMS + datasets: +# CMS EWK + - { dataset: CMSWEASY840PB, frac: 1.0, cfac: [QCD] } + - { dataset: CMSWMASY47FB, frac: 1.0, cfac: [QCD] } +# - { dataset: CMSWCHARMTOT, frac: 1.0 } +# - { dataset: CMSWCHARMRAT, frac: 1.0 } + - { dataset: CMSDY2D11, frac: 0.5, cfac: [QCD] } + - { dataset: CMSWMU8TEV, frac: 1.0, cfac: [QCD] } +# CMS jets + - { dataset: CMSJETS11, frac: 0.5, sys: 10 } + - { dataset: CMS1JET276TEV, frac: 0.5, sys: 10 } +# CMS Z pt + - { dataset: CMSZDIFF12, frac: 1.0, cfac: [QCD,NRM], sys: 10 } +# CMS ttbar + - { dataset: CMSTTBARTOT, frac: 1.0, cfac: [QCD] } + - { dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 1.0, cfac: [QCD] } + # LHCb + - experiment: LHCb + datasets: + - { dataset: LHCBZ940PB, frac: 1.0, cfac: [QCD] } + - { dataset: LHCBZEE2FB, frac: 1.0, cfac: [QCD] } + - { dataset: LHCBWZMU7TEV, frac: 1.0, cfac: [NRM,QCD] } + - { dataset: LHCBWZMU8TEV, frac: 1.0, cfac: [NRM,QCD] } + + +############################################################ +datacuts: + t0pdfset : NNPDF31_nnlo_as_0118 # PDF set to generate t0 covmat + q2min : 3.49 # Q2 minimum + w2min : 12.5 # W2 minimum + combocuts : NNPDF31 # NNPDF3.0 final kin. cuts + jetptcut_tev : 0 # jet pt cut for tevatron + jetptcut_lhc : 0 # jet pt cut for lhc + wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions + jetycut_tev : 1e30 # jet rap. cut for tevatron + jetycut_lhc : 1e30 # jet rap. cut for lhc + dymasscut_min: 0 # dy inv.mass. min cut + dymasscut_max: 1e30 # dy inv.mass. max cut + jetcfactcut : 1e30 # jet cfact. cut + +############################################################ +theory: + theoryid: 53 # database id + +hyperscan: + stopping: + min_epochs: 25e3 + max_epochs: 40e3 + min_patience: 0.10 + max_patience: 0.40 + positivity: + min_multiplier: 1.04 + max_multiplier: 1.1 + min_initial: 1.0 + max_initial: 50.0 + optimizer: + names: ['RMSprop', 'Adadelta'] + min_lr: 0.0005 + max_lr: 0.13 + architecture: + initializers: ['glorot_normal', 'glorot_uniform'] + max_drop: 0.05 + n_layers: [1,2] + min_units: 5 + max_units: 50 + activations: ['sigmoid', 'tanh'] + +############################################################ +fitting: + + trvlseed: 1 + nnseed: 2 + mcseed: 3 + epochs: 50000 + save: False + savefile: 'weights.hd5' + load: False + loadfile: 'weights.hd5' + plot: False + + seed : 9453862133528 # set the seed for the random generator + genrep : True # on = generate MC replicas, off = use real data + rngalgo : 0 # 0 = ranlux, 1 = cmrg, see randomgenerator.cc + fitmethod: NGA # Minimization algorithm + ngen : 30000 # Maximum number of generations + nmutants : 80 # Number of mutants for replica + paramtype: NN + nnodes : [2,5,3,1] + + parameters: # This defines the parameter dictionary that is passed to the Model Trainer + nodes_per_layer: [50, 35, 25, 8] + activation_per_layer: ['tanh', 'sigmoid', 'sigmoid', 'linear'] + initializer: 'glorot_normal' + learning_rate: 0.002 + optimizer: 'Adadelta' + epochs: 50000 + pos_multiplier: 1.09 + pos_initial: 1.1 + stopping_patience: 0.3 # percentage of the number of epochs + layer_type: 'dense' + dropout: 0.006 + + # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) + # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) + # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) + # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) + fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. + basis: + # remeber to change the name of PDF accordingly with fitbasis + # pos: True for NN squared + # mutsize: mutation size + # mutprob: mutation probability + # smallx, largex: preprocessing ranges + - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.04,1.20], largex: [1.45,2.64] } + - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.82,1.31], largex: [0.20,6.17] } + - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.51,0.71], largex: [1.24,2.80] } + - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.23,0.63], largex: [1.02,3.14] } + - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.53,0.75], largex: [0.70,3.31] } + - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.45,1.41], largex: [1.78,3.21] } + - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.49,1.32], largex: [1.42,3.13] } + - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.07,1.13], largex: [1.73,7.37] } + +############################################################ +stopping: + stopmethod: LOOKBACK # Stopping method + lbdelta : 0 # Delta for look-back stopping + mingen : 0 # Minimum number of generations + window : 500 # Window for moving average + minchi2 : 3.5 # Minimum chi2 + minchi2exp: 6.0 # Minimum chi2 for experiments + nsmear : 200 # Smear for stopping + deltasm : 200 # Delta smear for stopping + rv : 2 # Ratio for validation stopping + rt : 0.5 # Ratio for training stopping + epsilon : 1e-6 # Gradient epsilon + +############################################################ +positivity: + posdatasets: + - { dataset: POSF2U, poslambda: 1e6 } # Positivity Lagrange Multiplier + - { dataset: POSF2DW, poslambda: 1e6 } + - { dataset: POSF2S, poslambda: 1e6 } + - { dataset: POSFLL, poslambda: 1e6 } + - { dataset: POSDYU, poslambda: 1e10 } + - { dataset: POSDYD, poslambda: 1e10 } + - { dataset: POSDYS, poslambda: 1e10 } + +############################################################ +closuretest: + filterseed : 0 # Random seed to be used in filtering data partitions + fakedata : False # on = to use FAKEPDF to generate pseudo-data + fakepdf : MSTW2008nlo68cl # Theory input for pseudo-data + errorsize : 1.0 # uncertainties rescaling + fakenoise : False # on = to add random fluctuations to pseudo-data + rancutprob : 1.0 # Fraction of data to be included in the fit + rancutmethod: 0 # Method to select rancutprob data fraction + rancuttrnval: False # 0(1) to output training(valiation) chi2 in report + printpdf4gen: False # To print info on PDFs during minimization + +############################################################ +lhagrid: + nx : 150 + xmin: 1e-9 + xmed: 0.1 + xmax: 1.0 + nq : 50 + qmax: 1e5 + +############################################################ +debug: False diff --git a/src/n3fit/readme.md b/src/n3fit/readme.md new file mode 100644 index 0000000000..523986ce92 --- /dev/null +++ b/src/n3fit/readme.md @@ -0,0 +1,280 @@ +Ciao everyone, + +As promised here is the "beta" version of the new fitting code for everyone to have fun with it. We put all our code in the folder `n3fit` (i.e., everything below is referred to this folder). + +# n3fit.py + +This version is what we promised to make public in Varenna next August, in the end we decided to push also the hyperopt code since it was already ready rather than have a stripped-down version for Easter. + + +## Look before you leap + +There are a few things to note before running this code. + +### Differences with NNPDF + +- Preprocessing: + +This is perhaps one of the biggest differences with respect to NNPDF. The preprocessing variables are being fitted (within the parameters given in the runcard). There is room for new studies on this. + +- The network: + +We have constructed the network as a single net, i.e., all layers are fully connected. + +- Positivity and stopping: + +Positivity is enforced and replicas are only accepted once they pass some positivity criteria. This is related to stopping in that the stop only occurs once the validation loss doesn't improve anymore **_and_** the positivity criteria is fulfilled. + + +- Seeds: + +Everything is seeded at the level of the experiments, i.e., if you were to change the order of two experiments the results _should_ still be the same. + +### Performance, hardware usage + +- CPU usage: + +As said in Amsterdam, the code is quite fast and able to do a fit for a single replica in the order of 10 minutes / 1 hour for DIS / Global. However the usage of the CPU power is not the most efficient + +By default tensorflow will try to generate as many processes as logical threads your computer has (x2), however most of them are sitting idle most of the time, this is due to the amount of data we have available, it is actually not enough to actually give something to do to every core (_if_ you have a big enough number of powerful enough cores). + +We have limited the code to 8-16 threads. The limitation is done in line 34,35 of `backend/keras_backend/debug_mode.py`. + +- Memory usage: + +In our tests we find an usage of 2 GB of memory for DIS and 16 GB of memory for Global. I would personally recommend to be very generous with the memory requirements since otherwise you might end up swapping, which will greatly hinder performance. + +**Warning:** If you were to run this code in a cluster with not very good sandboxing you will be still running in 8 processors even if you only asked for 2. Therefore if you are going to ask for a small number of processors I would recommend to change those settings in the code as well. You don't want to make your IT department sad. + +_WIP:_ Eventually the resources management will be part of the runcard, but we are studying how to best reduce the impact (specially on memory) so it is still work in progress and so run it at your own risk. + +### Caveats, things to be wary of + +The gradient descent algorithms are quite powerful and the possibility of running much faster means you can run much deeper networks. However, as a wise man once said, _with great power comes great responsability_. In particular in our tests we found **it is not difficult to run into overfitting issues**. + +Overfitting is most easily done in DIS where the number of data points is small enough that is not difficult to generate a network with a number of parameters comparable to the number of data points. In this situation it is possible to find overfitting even with cross validation measures. We uploaded a report where the overfitting is quite obvious as an example: https://vp.nnpdf.science/EIA8y1JXQVmT9RYBLlUeJw==/ + + +For truly reproducible runs you should set `debug: true` in the runcard as, by default, we allow tensorflow freedom to play with its own internal variables. Debug mode turns off hyperthreading and fixes tensorflow's internal variables. + +The folder structure is not final, specially the files found in the top level folder. There is still some refactoring to do here so the explanation for the folders below might be outdated in a few weeks. + +The code works as a validphys app but it is not integrated in validphys. It is not installed when you run `conda install nnpdf` or `make install`. At the moment this could be taken as "Release Candidate" but not as a final product. + +At the moment since this is a beta version the final touchs of development are being in the n3pdf repository since there are a few pull requests open. Once we have merged all pull requests there we will move development to this one. + + +### Requirements: + +- **NNPDF:** Make sure NNPDF is installed and that python is able to import validphys. +- **Python packages:** usually having NNPDF installed and working means you will have everything you need, possible pitfalls: ruamel.yaml +- **Keras & tensorflow:** if you installed nnpdf with conda I would suggest installing them also with conda to ensure compatibility between python versions (3.6/3.7 brings some changes that can affect tensorflow). Note: tensorflow-opt includes some optimizations for running on CPU so it is the recommended version. +- **Hyperopt:** in order to use hyperopt you need to install the hyperopt python package, pandas and seaborn. +- **Operative System:** we have run this code in many several different Linux machines (with wildly different Linux flavours) in both python 3.6 and 3.7. We haven't tested Mac OS but there is no reason it should not work. + +## Folder Structure: + +### Backend + +All backend dependent functions and classes are in the `backends` folder. At the moment there is only one backend implemented: keras (`backend/keras_backend`). + +In order to implement a new different backend it should be enough to ensure it provides the same classes and methods. + +### Layers + +The custom layers that define the different pieces of the Neural Network are all in the `layers/` folder. Each layer is a different class extending `backends/?/MetaLayer.py`. + +Note for instance the DIS layer `layers/DIS.py`. This layer is an operation implementing the convolution of one PDF with one FKTable (according to the active flavours). +The plan is to replace some of the operations in these layers by custom operations as we believe this will have an impact on the memory usage of the code. + + +### Base folder + +The base folder is (temporarily) where the rest of the code lies, but let me break it down. + +#### Main code: + +- n3fit.py + +Validphys app definition. + +- fit.py + +Driver of the fitting code, the hyperoptimization and the output of the code. + +- constrains.py + +Implements restrictions such as the momentum sum rule. + +- model_gen.py + +Implements functions dedicated to generate the different independent pieces of the Neural Network such as the Observable layers or the PDF layers. + +- reader.py + +Implements the reading of the datasets, experiments and positivity sets into python objects. This is the only place where libnnpdf is used. The hope is that most of the logic in this file will be substituted by PR #404. + +- writer.py + +Implements the functions dedicated to the output of the fit (crucially, .exportgrid) + +- statistics.py + +Class that saves information about the fitting such a number of epochs, losses of the different pieces, etc. It is also manages the stopping criteria. + +- ModelTrainer.py + +This class defines the behaviour of the fit, creates the Neural Network and performs the fit. + + +#### Hyperopt: + +These are files related to the hyperoptimization mode of the code. Below in the basic usage section there are some notes on how to use it in case someone wants to give a try. + +- HyperAlgorith.py + +- HyperScanner.py + +- filetrials.py + +- plotting.py + +- create_testset.py + + +#### Runcards and report examples + +We provide three runcards (in the `runcards` folder): + +- Basic: Basic_runcard.yml, for quick testing with just two datasets +- DIS: PN3_DIS_example.yml (report example: https://vp.nnpdf.science/fpzXjidYR7SMrFBXpSacEA==) +- Global: PN3_Global_example.yml(report example: https://vp.nnpdf.science/BT98HzUSTxqg6_sDkkUx0A== ) + + +#### Evolution code + +Instead of using apfel replica per replica the code found in the folder `evolven3fit' will run the evolution for all replicas at once. +This code doesn't do any kind of sanity check or similar, as long as it finds a .gridinfo file, it will be happy. + +Usage: + + make + ./evolven3fit run_folder number_of_replicas + + +### Basic Usage: + +The most basic usage is running a fit for a given runcard for a given replica: + + python3 n3fit.py runcard.yml replica_number + +This will generate a folder structure akin to the one nnfit currently generates. It is not necessary to run vp-setupfit (if you do it, it will not hurt, you will need it anyway for generating a report at some point in the pipeline). + +Example: + + python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 + +will generater a folder `NNPDF31_nlo_as_0118_basic/nnfit/replica_1` containing a number of files with arclengths, chi2, etc. + + +#### Running multiple replicas sequentially: +With the option -r is it possible to run more replicas without the need for loading the data each time. This is just a convenience feature + + python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 -r 4 + +will run replicas 1 to 4 one after the other. + +#### Hyperoptimization: +The option --hyperopt will activate the hyperoptimizer + + python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 --hyperopt 100 + +will run 100 iterations of the hyperoptimizer. We also include a script that will plot the results as a `scan.pdf' file. + + python3 plotting.py NNPDF31_nlo_as_0118_basic + +As mentioned before, it is important to avoid overfitting, relying blindly in hyperopt, however, can result in models prone to overfitting. For hyperopt a model that overfits is very good, the most straightforward way of solving this issue is to create a set of datasets that don't enter the fitting or the validation. We include a script to do this in a systematic way with the following option: + + python3 n3fit.py runcards/NNPDF31_nlo_as_0118_basic.yml 1 --create_test_card + +This will generate a TEST runcard with a TEST set included which can be use for hyperoptimization. + + +#### Example: from a fit to a validphys report + + +In order to generate a fit it is necessary to run the code for a number of replicas. Let's say we want a fit of the runcard DIS.yml with 20 replicas: + +``` +for replica in {1..20} +do + ./n3fit.py DIS.yml ${replica} +done +``` + +After this we'll have a `DIS/nnfit' folder with 20 replicas. Now in order to generate the fit we use the following workflow: + +First some legacy code, it's only needed for the other scripts not to complain + + vp-setupfit DIS.yml + +Now we can run evolven3fit with the folder were the replicas are included and the maximum number of replicas to find. + + ./evolven3fit DIS 20` + +From this point onwards the steps are not different from before, for completeness they are also included here: + +After running the evolution code we run postfit to generate the final PDF, for that we give the number of members we want to find and the folder. + + postfit 15 DIS + +After postfit has finished you will want the results to the NNPDF share folder, assuming a conda installation: + + cp -RL DIS $CONDA_PREFIX/share/NNPDF/results/ + +Finally, for generating the plots you need to use comparefits and follow the instructions, for the DIS runcard we provide you can use 181101-001-sc as the reference fit. + + vp-comparefits DIS 181101-001-sc --title comparison --author $USER --keywords n3fit -o my_DIS_report + + +### Going forward: + +This is a list of ideas we have so people can start working on things if they feel like it. Some of them are necessary for the full integration with NNPDF (in particular testing and implementing the new fkparser) other can be interesting or fun side projects. + +- Testing the fkparser. + +Modifying reader to use the new fkparsers implemented in PR #404 instead of using the C functions. +All calls to libnnpdf are concentrated in this file so that the changes are easy to implement. + +- Closure tests + +We have not run any closure test or implemented a way of doing it in a systematic way. It could be an interesting exercise. + + +- Implement new backends + +As said before, it should be straightforward (a straight paths can be very long, complicated and full of holes, but the path itself has not many curves). + +- Run with other algorithms + +At the moment we have run with some of the algorithms included in the default keras installation, but the space of algorithms for machine learning is quite big. We have also limited ourselves to Gradient Descent family, but that's not the end of the story. + + +- Study different strategies for preprocessing: + +At the moment we are taking a very naive approach to the fitting of the processing: we let them vary freely within the strict limits set by the runcard. This may well be suboptimal. + +#### Some other things + +Some stuff that people is working on and is close to completion: + +- Implementation of custom operators and gradients to improve performance. +- An visualizer for the fitting of the PDF in the form of an animation. + + +-------- + +Let us know if anything is unclear and feel free to open any issues you find! + + + Juan & Stefano From aed2dcf371ddea76d656ea4a3e1262b9ed8c1345 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Sat, 22 Jun 2019 16:45:31 +0200 Subject: [PATCH 410/429] added documentation to backends --- runcards/Basic_runcard.yml | 1 + src/n3fit/backends/keras_backend/__init__.py | 1 + .../backends/keras_backend/base_layers.py | 52 +++++++++++-------- .../backends/keras_backend/debug_mode.py | 7 ++- src/n3fit/constraints.py | 6 +-- src/n3fit/layers/Integration.py | 12 ++--- 6 files changed, 48 insertions(+), 31 deletions(-) diff --git a/runcards/Basic_runcard.yml b/runcards/Basic_runcard.yml index 4da9e07eea..775d4d744f 100644 --- a/runcards/Basic_runcard.yml +++ b/runcards/Basic_runcard.yml @@ -14,6 +14,7 @@ experiments: datasets: - { dataset: SLACP, frac: 0.5} - { dataset: NMCPD, frac: 0.5 } + - { dataset: CMSJETS11, frac: 0.5, sys: 10 } ############################################################ datacuts: diff --git a/src/n3fit/backends/keras_backend/__init__.py b/src/n3fit/backends/keras_backend/__init__.py index e69de29bb2..087f471299 100644 --- a/src/n3fit/backends/keras_backend/__init__.py +++ b/src/n3fit/backends/keras_backend/__init__.py @@ -0,0 +1 @@ +# TODO: This class can be better organized diff --git a/src/n3fit/backends/keras_backend/base_layers.py b/src/n3fit/backends/keras_backend/base_layers.py index 009838d37d..f159f7c63c 100644 --- a/src/n3fit/backends/keras_backend/base_layers.py +++ b/src/n3fit/backends/keras_backend/base_layers.py @@ -13,11 +13,9 @@ def LSTM_modified(**kwargs): """ LSTM asks for a sample X timestep X features kind of thing so we need to reshape the input """ - the_lstm = LSTM(**kwargs) - ExpandDim = Lambda( - lambda x: expand_dims(x, axis = -1) - ) + ExpandDim = Lambda(lambda x: expand_dims(x, axis=-1)) + def ReshapedLSTM(input_tensor): if len(input_tensor.shape) == 2: reshaped = ExpandDim(input_tensor) @@ -29,29 +27,41 @@ def ReshapedLSTM(input_tensor): layers = { - 'dense' : (Dense, { - 'input_shape' : (1,), - 'kernel_initializer' : 'glorot_normal', - 'units' : 5, - 'activation' : 'sigmoid', - }), - 'LSTM' : (LSTM_modified, { - 'kernel_initializer' : 'glorot_normal', - 'units' : 5, - 'activation' : 'sigmoid', - }), - 'dropout' : (Dropout, { - 'rate' : 0.0, - }), - } - + "dense": ( + Dense, + { + "input_shape": (1,), + "kernel_initializer": "glorot_normal", + "units": 5, + "activation": "sigmoid", + }, + ), + "LSTM": ( + LSTM_modified, + {"kernel_initializer": "glorot_normal", "units": 5, "activation": "sigmoid"}, + ), + "dropout": (Dropout, {"rate": 0.0}), +} def base_layer_selector(layer_name, **kwargs): + """ + Given a layer name, looks for it in the `layers` dictionary and returns an instance. + + The layer dictionary defines a number of defaults but they can be overwritten/enhanced through kwargs + + # Arguments: + - `layer_name`: str with the name of the layer + - `**kwargs`: extra optional arguments to pass to the layer (beyond their defaults) + """ try: layer_tuple = layers[layer_name] except KeyError: - raise Exception("Layer not implemented in keras_backend/base_layers.py: {0}".format(layer_name)) + raise Exception( + "Layer not implemented in keras_backend/base_layers.py: {0}".format( + layer_name + ) + ) layer_class = layer_tuple[0] layer_args = layer_tuple[1] diff --git a/src/n3fit/backends/keras_backend/debug_mode.py b/src/n3fit/backends/keras_backend/debug_mode.py index ad47ff99d0..4a468f763f 100644 --- a/src/n3fit/backends/keras_backend/debug_mode.py +++ b/src/n3fit/backends/keras_backend/debug_mode.py @@ -26,7 +26,12 @@ def set_initial_state(debug=False, seed=13): return 0 -def clear_backend_state(debug): +def clear_backend_state(debug = False): + """ + Clears the state of the backend and opens a new session. + + If `debug` flag is true don't clear the state or do anything + """ if not debug: print("Clearing session") from keras import backend as K diff --git a/src/n3fit/constraints.py b/src/n3fit/constraints.py index e32eaf2813..11db00734a 100644 --- a/src/n3fit/constraints.py +++ b/src/n3fit/constraints.py @@ -47,7 +47,7 @@ def msr_impose(fit_layer, final_pdf_layer, verbose=False): # 2. Prepare the pdf for integration # for that we need to multiply several flavours with 1/x - division_by_x = xDivide(size=nx) + division_by_x = xDivide() def pdf_integrand(x): res = operations.op_multiply([division_by_x(x), fit_layer(x)]) @@ -89,7 +89,7 @@ def check_integration(ultimate_pdf, integration_input, verbose=False): xgrid, weights_array = gen_integration_input(nx) xgrid_input = operations.numpy_to_input(xgrid) - multiplier = xDivide(size=nx, output_dim=14, div_list=range(3, 9)) + multiplier = xDivide(output_dim=14, div_list=range(3, 9)) def pdf_integrand(x): res = operations.op_multiply([multiplier(x), ultimate_pdf(x)]) @@ -125,7 +125,7 @@ def compute_arclength(fitbasis_layer, verbose=False): """ nx = int(1e6) xgrid, weights_array = gen_integration_input(nx) - multiplier = xMultiply(size=nx) + multiplier = xMultiply() xgrid_input = operations.numpy_to_input(xgrid) eps = xgrid[0] / 2.0 xgrid_input_prime = operations.numpy_to_input(xgrid - eps) diff --git a/src/n3fit/layers/Integration.py b/src/n3fit/layers/Integration.py index 7e7c05e87a..983d6bdf10 100644 --- a/src/n3fit/layers/Integration.py +++ b/src/n3fit/layers/Integration.py @@ -39,14 +39,14 @@ class xMultiply(MetaLayer): # Arguments: - `output_dim`: dimension of the pdf - - `mul_list`: list of indices *not* to multiply by X (by default [2,3,4]; [v, v3, v8] + - `not_mul_list`: list of indices *not* to multiply by X (by default [2,3,4]; [v, v3, v8] """ - def __init__(self, output_dim=8, mul_list=None, **kwargs): - if div_list is None: - div_list = [2, 3, 4] + def __init__(self, output_dim=8, not_mul_list=None, **kwargs): + if not_mul_list is None: + not_mul_list = [2, 3, 4] self.output_dim = output_dim - self.div_list = div_list + self.not_mul_list = not_mul_list super(MetaLayer, self).__init__(**kwargs) def compute_output_shape(self, input_shape): @@ -56,7 +56,7 @@ def call(self, x): out_array = [] one = self.tensor_ones_like(x) for i in range(self.output_dim): - if i in self.mul_list: + if i in self.not_mul_list: res = one else: res = one * x From e01ac3eca380a2b949f5641a8b2930acf7815cf4 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Sat, 22 Jun 2019 17:12:17 +0200 Subject: [PATCH 411/429] reorganize the folders back to n3fit, everything should be ready now for cambridge (up to testing in clean installation to make sure I did not forget anything ofc!) --- conda-recipe/meta.yaml | 1 - {src => n3fit}/doc/Makefile | 0 {src => n3fit}/doc/conf.py | 0 {src => n3fit}/doc/index.rst | 0 {src => n3fit}/doc/make.bat | 0 {src => n3fit}/doc/n3fit.ModelTrainer.rst | 0 {src => n3fit}/doc/n3fit.Statistics.rst | 0 {src => n3fit}/doc/n3fit.backends.keras_backend.MetaLayer.rst | 0 {src => n3fit}/doc/n3fit.backends.keras_backend.MetaModel.rst | 0 .../doc/n3fit.backends.keras_backend.base_layers.rst | 0 .../doc/n3fit.backends.keras_backend.debug_mode.rst | 0 {src => n3fit}/doc/n3fit.backends.keras_backend.losses.rst | 0 .../doc/n3fit.backends.keras_backend.operations.rst | 0 {src => n3fit}/doc/n3fit.backends.keras_backend.rst | 0 {src => n3fit}/doc/n3fit.backends.rst | 0 {src => n3fit}/doc/n3fit.constraints.rst | 0 {src => n3fit}/doc/n3fit.fit.rst | 0 .../doc/n3fit.hyper_optimization.HyperAlgorithm.rst | 0 {src => n3fit}/doc/n3fit.hyper_optimization.HyperScanner.rst | 0 .../doc/n3fit.hyper_optimization.create_testset.rst | 0 {src => n3fit}/doc/n3fit.hyper_optimization.filetrials.rst | 0 {src => n3fit}/doc/n3fit.hyper_optimization.plotting.rst | 0 {src => n3fit}/doc/n3fit.hyper_optimization.rst | 0 {src => n3fit}/doc/n3fit.io.reader.rst | 0 {src => n3fit}/doc/n3fit.io.rst | 0 {src => n3fit}/doc/n3fit.io.writer.rst | 0 {src => n3fit}/doc/n3fit.layers.DIS.rst | 0 {src => n3fit}/doc/n3fit.layers.DY.rst | 0 {src => n3fit}/doc/n3fit.layers.Integration.rst | 0 {src => n3fit}/doc/n3fit.layers.Mask.rst | 0 {src => n3fit}/doc/n3fit.layers.Observable.rst | 0 {src => n3fit}/doc/n3fit.layers.Preprocessing.rst | 0 {src => n3fit}/doc/n3fit.layers.rst | 0 {src => n3fit}/doc/n3fit.model_gen.rst | 0 {src => n3fit}/doc/n3fit.n3fit.rst | 0 {src => n3fit}/doc/n3fit.rst | 0 {src => n3fit}/n3fit/ModelTrainer.py | 0 {src => n3fit}/n3fit/Statistics.py | 0 {src => n3fit}/n3fit/__init__.py | 0 {src => n3fit}/n3fit/backends/__init__.py | 0 {src => n3fit}/n3fit/backends/keras_backend/MetaLayer.py | 0 {src => n3fit}/n3fit/backends/keras_backend/MetaModel.py | 0 {src => n3fit}/n3fit/backends/keras_backend/__init__.py | 0 {src => n3fit}/n3fit/backends/keras_backend/base_layers.py | 0 {src => n3fit}/n3fit/backends/keras_backend/debug_mode.py | 0 {src => n3fit}/n3fit/backends/keras_backend/losses.py | 0 {src => n3fit}/n3fit/backends/keras_backend/operations.py | 0 {src => n3fit}/n3fit/constraints.py | 0 {src => n3fit}/n3fit/evolven3fit/evolven3fit.cc | 0 {src => n3fit}/n3fit/evolven3fit/makefile | 0 {src => n3fit}/n3fit/evolven3fit/version.h | 0 {src => n3fit}/n3fit/fit.py | 0 {src => n3fit}/n3fit/hyper_optimization/HyperAlgorithm.py | 0 {src => n3fit}/n3fit/hyper_optimization/HyperScanner.py | 0 {src => n3fit}/n3fit/hyper_optimization/__init__.py | 0 {src => n3fit}/n3fit/hyper_optimization/create_testset.py | 0 {src => n3fit}/n3fit/hyper_optimization/filetrials.py | 0 {src => n3fit}/n3fit/hyper_optimization/plotting.py | 0 {src => n3fit}/n3fit/io/__init__.py | 0 {src => n3fit}/n3fit/io/reader.py | 0 {src => n3fit}/n3fit/io/writer.py | 0 {src => n3fit}/n3fit/layers/DIS.py | 0 {src => n3fit}/n3fit/layers/DY.py | 0 {src => n3fit}/n3fit/layers/Integration.py | 0 {src => n3fit}/n3fit/layers/Mask.py | 0 {src => n3fit}/n3fit/layers/Observable.py | 0 {src => n3fit}/n3fit/layers/Preprocessing.py | 0 {src => n3fit}/n3fit/layers/__init__.py | 0 {src => n3fit}/n3fit/model_gen.py | 0 {src => n3fit}/n3fit/n3fit.py | 0 {src => n3fit}/n3fit/readme.md | 0 {runcards => n3fit/runcards}/Basic_runcard.yml | 0 {runcards => n3fit/runcards}/PN3_DIS_example.yml | 0 {runcards => n3fit/runcards}/PN3_Global_example.yml | 0 setup.py => n3fit/setup.py | 4 ++-- 75 files changed, 2 insertions(+), 3 deletions(-) rename {src => n3fit}/doc/Makefile (100%) rename {src => n3fit}/doc/conf.py (100%) rename {src => n3fit}/doc/index.rst (100%) rename {src => n3fit}/doc/make.bat (100%) rename {src => n3fit}/doc/n3fit.ModelTrainer.rst (100%) rename {src => n3fit}/doc/n3fit.Statistics.rst (100%) rename {src => n3fit}/doc/n3fit.backends.keras_backend.MetaLayer.rst (100%) rename {src => n3fit}/doc/n3fit.backends.keras_backend.MetaModel.rst (100%) rename {src => n3fit}/doc/n3fit.backends.keras_backend.base_layers.rst (100%) rename {src => n3fit}/doc/n3fit.backends.keras_backend.debug_mode.rst (100%) rename {src => n3fit}/doc/n3fit.backends.keras_backend.losses.rst (100%) rename {src => n3fit}/doc/n3fit.backends.keras_backend.operations.rst (100%) rename {src => n3fit}/doc/n3fit.backends.keras_backend.rst (100%) rename {src => n3fit}/doc/n3fit.backends.rst (100%) rename {src => n3fit}/doc/n3fit.constraints.rst (100%) rename {src => 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n3fit}/n3fit/layers/Preprocessing.py (100%) rename {src => n3fit}/n3fit/layers/__init__.py (100%) rename {src => n3fit}/n3fit/model_gen.py (100%) rename {src => n3fit}/n3fit/n3fit.py (100%) rename {src => n3fit}/n3fit/readme.md (100%) rename {runcards => n3fit/runcards}/Basic_runcard.yml (100%) rename {runcards => n3fit/runcards}/PN3_DIS_example.yml (100%) rename {runcards => n3fit/runcards}/PN3_Global_example.yml (100%) rename setup.py => n3fit/setup.py (78%) diff --git a/conda-recipe/meta.yaml b/conda-recipe/meta.yaml index 93a92156ae..8c1d8a208c 100644 --- a/conda-recipe/meta.yaml +++ b/conda-recipe/meta.yaml @@ -24,7 +24,6 @@ requirements: run: - tensorflow - keras - - ruamel.yaml - hyperopt - seaborn - lhapdf diff --git a/src/doc/Makefile b/n3fit/doc/Makefile similarity index 100% rename from src/doc/Makefile rename to n3fit/doc/Makefile diff --git a/src/doc/conf.py b/n3fit/doc/conf.py similarity index 100% rename from src/doc/conf.py rename to n3fit/doc/conf.py diff --git 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src/n3fit/evolven3fit/version.h rename to n3fit/n3fit/evolven3fit/version.h diff --git a/src/n3fit/fit.py b/n3fit/n3fit/fit.py similarity index 100% rename from src/n3fit/fit.py rename to n3fit/n3fit/fit.py diff --git a/src/n3fit/hyper_optimization/HyperAlgorithm.py b/n3fit/n3fit/hyper_optimization/HyperAlgorithm.py similarity index 100% rename from src/n3fit/hyper_optimization/HyperAlgorithm.py rename to n3fit/n3fit/hyper_optimization/HyperAlgorithm.py diff --git a/src/n3fit/hyper_optimization/HyperScanner.py b/n3fit/n3fit/hyper_optimization/HyperScanner.py similarity index 100% rename from src/n3fit/hyper_optimization/HyperScanner.py rename to n3fit/n3fit/hyper_optimization/HyperScanner.py diff --git a/src/n3fit/hyper_optimization/__init__.py b/n3fit/n3fit/hyper_optimization/__init__.py similarity index 100% rename from src/n3fit/hyper_optimization/__init__.py rename to n3fit/n3fit/hyper_optimization/__init__.py diff --git a/src/n3fit/hyper_optimization/create_testset.py 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a/src/n3fit/io/writer.py b/n3fit/n3fit/io/writer.py similarity index 100% rename from src/n3fit/io/writer.py rename to n3fit/n3fit/io/writer.py diff --git a/src/n3fit/layers/DIS.py b/n3fit/n3fit/layers/DIS.py similarity index 100% rename from src/n3fit/layers/DIS.py rename to n3fit/n3fit/layers/DIS.py diff --git a/src/n3fit/layers/DY.py b/n3fit/n3fit/layers/DY.py similarity index 100% rename from src/n3fit/layers/DY.py rename to n3fit/n3fit/layers/DY.py diff --git a/src/n3fit/layers/Integration.py b/n3fit/n3fit/layers/Integration.py similarity index 100% rename from src/n3fit/layers/Integration.py rename to n3fit/n3fit/layers/Integration.py diff --git a/src/n3fit/layers/Mask.py b/n3fit/n3fit/layers/Mask.py similarity index 100% rename from src/n3fit/layers/Mask.py rename to n3fit/n3fit/layers/Mask.py diff --git a/src/n3fit/layers/Observable.py b/n3fit/n3fit/layers/Observable.py similarity index 100% rename from src/n3fit/layers/Observable.py rename to n3fit/n3fit/layers/Observable.py diff --git a/src/n3fit/layers/Preprocessing.py b/n3fit/n3fit/layers/Preprocessing.py similarity index 100% rename from src/n3fit/layers/Preprocessing.py rename to n3fit/n3fit/layers/Preprocessing.py diff --git a/src/n3fit/layers/__init__.py b/n3fit/n3fit/layers/__init__.py similarity index 100% rename from src/n3fit/layers/__init__.py rename to n3fit/n3fit/layers/__init__.py diff --git a/src/n3fit/model_gen.py b/n3fit/n3fit/model_gen.py similarity index 100% rename from src/n3fit/model_gen.py rename to n3fit/n3fit/model_gen.py diff --git a/src/n3fit/n3fit.py b/n3fit/n3fit/n3fit.py similarity index 100% rename from src/n3fit/n3fit.py rename to n3fit/n3fit/n3fit.py diff --git a/src/n3fit/readme.md b/n3fit/n3fit/readme.md similarity index 100% rename from src/n3fit/readme.md rename to n3fit/n3fit/readme.md diff --git a/runcards/Basic_runcard.yml b/n3fit/runcards/Basic_runcard.yml similarity index 100% rename from runcards/Basic_runcard.yml rename to n3fit/runcards/Basic_runcard.yml diff --git a/runcards/PN3_DIS_example.yml b/n3fit/runcards/PN3_DIS_example.yml similarity index 100% rename from runcards/PN3_DIS_example.yml rename to n3fit/runcards/PN3_DIS_example.yml diff --git a/runcards/PN3_Global_example.yml b/n3fit/runcards/PN3_Global_example.yml similarity index 100% rename from runcards/PN3_Global_example.yml rename to n3fit/runcards/PN3_Global_example.yml diff --git a/setup.py b/n3fit/setup.py similarity index 78% rename from setup.py rename to n3fit/setup.py index e68ce3f562..2e6b8c6530 100644 --- a/setup.py +++ b/n3fit/setup.py @@ -3,8 +3,8 @@ setup( name="n3fit", version="0.9", - package_dir = {'':'src/'}, - packages=find_packages('src'), + package_dir = {'':'.'}, + packages=find_packages('.'), entry_points = {'console_scripts': ['n3fit = n3fit.n3fit:main', From cc75797e3395a47635f22153f6d503ac6ca3fa96 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Sun, 23 Jun 2019 12:37:54 +0200 Subject: [PATCH 412/429] deleted forgotten file --- pyfit/backends/__init__.py | 8 -------- 1 file changed, 8 deletions(-) delete mode 100644 pyfit/backends/__init__.py diff --git a/pyfit/backends/__init__.py b/pyfit/backends/__init__.py deleted file mode 100644 index 4139736ef8..0000000000 --- a/pyfit/backends/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -from backends.keras_backend.debug_mode import set_initial_state, clear_backend_state -from backends.keras_backend.MetaLayer import MetaLayer -from backends.keras_backend.MetaModel import MetaModel -from backends.keras_backend.base_layers import concatenate, Lambda, base_layer_selector -from backends.keras_backend import losses -from backends.keras_backend import operations - -print("Using Keras backend") From 4c1f1bc35d02d4ddc7d8b1ed8d824eb3450fadf5 Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 19 Jun 2019 15:35:26 +0100 Subject: [PATCH 413/429] adding doc string documentation tweaking index adding validphys to sphinx path cleaning autogenerated files removing unneeded extensions --- doc/README.md | 2 +- doc/sphinx/.gitignore | 2 ++ doc/sphinx/Makefile | 5 ++++- doc/sphinx/source/conf.py | 8 +++----- doc/sphinx/source/index.rst | 4 ++-- 5 files changed, 12 insertions(+), 9 deletions(-) create mode 100644 doc/sphinx/.gitignore diff --git a/doc/README.md b/doc/README.md index 5563832781..dbd2dee417 100644 --- a/doc/README.md +++ b/doc/README.md @@ -1,7 +1,7 @@ # NNPDF code and standards documentation Here we store documentation (user / developer guides) and specifications (for cuts / data formats) for the NNPDF code. To generate the sphinx documentation, -navigate to the `sphinx/` directory and execute the command `make html` +navigate to the `sphinx/` directory and execute the command `make html`. ### Currently documented - [Validphys2 guide](https://data.nnpdf.science/validphys-docs/guide.html) diff --git a/doc/sphinx/.gitignore b/doc/sphinx/.gitignore new file mode 100644 index 0000000000..66c4fab592 --- /dev/null +++ b/doc/sphinx/.gitignore @@ -0,0 +1,2 @@ +# Ignore auto generated module references +./source/usage/modules diff --git a/doc/sphinx/Makefile b/doc/sphinx/Makefile index 69fe55ecfa..b63e007d0c 100644 --- a/doc/sphinx/Makefile +++ b/doc/sphinx/Makefile @@ -16,4 +16,7 @@ help: # Catch-all target: route all unknown targets to Sphinx using the new # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile - @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) \ No newline at end of file + @if test $@ != "clean"; then \ + sphinx-apidoc -o ./source/usage/modules ../../validphys2/src/validphys/ ; \ + fi + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/doc/sphinx/source/conf.py b/doc/sphinx/source/conf.py index ac808e5b11..50721aa1b4 100644 --- a/doc/sphinx/source/conf.py +++ b/doc/sphinx/source/conf.py @@ -12,14 +12,13 @@ # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # -# import os -# import sys -# sys.path.insert(0, os.path.abspath('.')) +import sys +sys.path.insert(0, "~/nnpdfgit/nnpdf/validphys2/src/validphys") # -- Project information ----------------------------------------------------- -project = 'NNPDF Documentation' +project = 'NNPDF' copyright = '2019, SI & MU' author = 'SI & MU' @@ -47,7 +46,6 @@ 'sphinx.ext.mathjax', 'sphinx.ext.ifconfig', 'sphinx.ext.viewcode', - 'sphinx.ext.githubpages', 'recommonmark', ] diff --git a/doc/sphinx/source/index.rst b/doc/sphinx/source/index.rst index 63152a5c8c..8da3d744db 100644 --- a/doc/sphinx/source/index.rst +++ b/doc/sphinx/source/index.rst @@ -3,8 +3,8 @@ You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. -Welcome to NNPDF's documentation! -================================= +NNPDF documentation +=================== .. toctree:: :maxdepth: 2 From 43cc7c8ea155254f123ece1d1ac9bec32f216fc8 Mon Sep 17 00:00:00 2001 From: Maria Ubiali Date: Tue, 25 Jun 2019 17:10:31 +0100 Subject: [PATCH 414/429] Added folder structure --- doc/sphinx/source/{usage => get-started}/installation.md | 0 doc/sphinx/source/{usage => tutorials}/runafit.md | 0 doc/sphinx/source/{usage => vp}/api.md | 0 3 files changed, 0 insertions(+), 0 deletions(-) rename doc/sphinx/source/{usage => get-started}/installation.md (100%) rename doc/sphinx/source/{usage => tutorials}/runafit.md (100%) rename doc/sphinx/source/{usage => vp}/api.md (100%) diff --git a/doc/sphinx/source/usage/installation.md b/doc/sphinx/source/get-started/installation.md similarity index 100% rename from doc/sphinx/source/usage/installation.md rename to doc/sphinx/source/get-started/installation.md diff --git a/doc/sphinx/source/usage/runafit.md b/doc/sphinx/source/tutorials/runafit.md similarity index 100% rename from doc/sphinx/source/usage/runafit.md rename to doc/sphinx/source/tutorials/runafit.md diff --git a/doc/sphinx/source/usage/api.md b/doc/sphinx/source/vp/api.md similarity index 100% rename from doc/sphinx/source/usage/api.md rename to doc/sphinx/source/vp/api.md From b70fc8510a3cbded7ab843167aefa957e35fc96c Mon Sep 17 00:00:00 2001 From: Maria Ubiali Date: Tue, 25 Jun 2019 17:15:53 +0100 Subject: [PATCH 415/429] Added new folders --- doc/sphinx/source/QA/dummy.md | 152 ++++++++++++++++++++++++++++++ doc/sphinx/source/code/dummy.md | 152 ++++++++++++++++++++++++++++++ doc/sphinx/source/theory/dummy.md | 152 ++++++++++++++++++++++++++++++ 3 files changed, 456 insertions(+) create mode 100644 doc/sphinx/source/QA/dummy.md create mode 100644 doc/sphinx/source/code/dummy.md create mode 100644 doc/sphinx/source/theory/dummy.md diff --git a/doc/sphinx/source/QA/dummy.md b/doc/sphinx/source/QA/dummy.md new file mode 100644 index 0000000000..cb9810352f --- /dev/null +++ b/doc/sphinx/source/QA/dummy.md @@ -0,0 +1,152 @@ +# Using the validphys API + +## Introduction + + +The API functionality allows the `validphys`/`reportengine` machinery to be +readily leveraged in a development setting such as a Jupyter notebook. Any +action available to `validphys` can be invoked by Python code, with the same +parameters as a runcard. + +For example: + +```python +from validphys.api import API + +figs = API.plot_pdfs(pdfs=["NNPDF31_nlo_as_0118"], Q=2) +for f, _ in figs: + f.show() +``` + +The `API` object provides a high level interface to the validphys code. Note +that the user doesn't need to know exactly how to load the PDF, create the +relevant grid to be plotted and then pass that to the plotting function, this is +all handled by the underlying code of `reportengine`. This abstraction provides +a convenient way to explore the functionality of `validphys` (or any other +`reportengine` application) as well as to develop further functionality for +`validphys` itself. + +All the actions available to `validphys` are translated into methods of the `API` +object. The arguments are the same as the parameters that the validphys runcard +would need to evaluate the action. + +## Generic Example + +An important use case of this functionality is the development +Consider that you wanted to develop a provider which depends on some expensive providers, defined +somewhere in the `validphys` modules, + +```python +def expensive_provider1(pdf:PDF, Q, theoryid): + ... + +def expensive_provider2(experiments, ...): + ... + +``` + +Now in a notebook we can do + +```python +from validphys.api import API + +expensive1 = API.expesnive_provider1(pdf="NNPDF31_nlo_as_0118", Q=100, theoryid=52) +expensive2 = API.expensive_provider2(experiments={"from_": "fit"}, fit="NNPDF31_nlo_as_0118") + +``` + +We can then define and test our new function (e.g. in a separate notebook cell), + +```python +def developing_provider(expensive_provider1, expensive_provider2): + ... + +test_output = developing_provider(expensive1, expensive2) +``` + +`expensive1` and `expensive2` have already been evaluated using the validphys machinery, and we just +had to declare the `validphys2` runcard inputs in order to use those providers. The output of these +expensive function is now saved. So for the remainder of our notebook session we don't need to +re-run the expensive providers every time we wish to change something with our `developing_provider`. +Clearly this massively reduces the time to develop and test the new provider since, the expensive +providers which the new `developing_provider` depends on are cached for the rest of the jupyter +session. + +For `expensive_provider2` the input was slightly more complicated. When using the API remember that +the input is exactly the same as a `validphys2` runcard. The runcards are in a `yaml` format which +is then parsed as a `dict`. If it seems more intuitive one can utilise this when declaring the +inputs for the API providers, for example: + +```python +input2 = { + "experiments": { + "from_": "fit" + }, + "fit": "NNPDF31_nlo_as_0118" +} +expensive2 = API.expensive_provider2(**input2) +``` + +The `input2` dictionary is visually almost identical the corresponding `validphys2` runcard, we just +need to be careful the separate items with commas, that all dict keys are strings and that +the typing is correct for the various inputs, we can always look up the appropriate typing by using +the `validphys --help` functionality. + +## Creating figures in the `validphys` style + +If a figure is created using the api, as with the first example: + +```python +from validphys.api import API + +fig = API.some_plot(...) +fig.show() +``` + +you might notice that the style of the plot is very different to those produce by `validphys`. If you +want to use the same style as `validphys` then consider using the following commands at the top of +your script or notebook: + +```python +import matplotlib +from validphys import mplstyles +matplotlib.style.use(str(mplstyles.smallstyle)) +``` + +also consider using `fig.tight_layout()` which reportengine uses before saving figures. For the +example used earlier we would then have + +```python +import matplotlib +from validphys import mplstyles +matplotlib.style.use(str(mplstyles.smallstyle)) + +from validphys.api import API + +figs = API.plot_pdfs(pdfs=["NNPDF31_nlo_as_0118"], Q=2) +for f, _ in figs: + f.tight_layout() + f.show() +``` + +## Mixing declarative input with custom resources (NOTE: Experimental) + +For some actions it is possible to mix declarative input with custom resources. + +Take for example `xplotting_grid`, which minimally requires us to specify +`pdf`, `Q`. We see from `validphys --help xplotting_grid` that it depends on the provider `xgrid` +which in turn returns a tuple of `(scale, x_array)`. Using the API we could specify our own custom +xgrid input, but then rely on the API to collect the other relevant resources, for example: + +```python +import numpy as np +from validphys.api import API + +new_xgrid = ("linear", np.array([0.1, 0.2]) +pdf_grid = API.xplotting_grid(pdf="NNPDF31_nlo_as_0118", Q=2, xgrid=new_xgrid) + +``` + +The API offers flexibility to mix declarative inputs such as `pdf=` with python objects +`xgrid=(, )`, note that this is very dependent on the provider in question +and is not guaranteed to work all the time. diff --git a/doc/sphinx/source/code/dummy.md b/doc/sphinx/source/code/dummy.md new file mode 100644 index 0000000000..cb9810352f --- /dev/null +++ b/doc/sphinx/source/code/dummy.md @@ -0,0 +1,152 @@ +# Using the validphys API + +## Introduction + + +The API functionality allows the `validphys`/`reportengine` machinery to be +readily leveraged in a development setting such as a Jupyter notebook. Any +action available to `validphys` can be invoked by Python code, with the same +parameters as a runcard. + +For example: + +```python +from validphys.api import API + +figs = API.plot_pdfs(pdfs=["NNPDF31_nlo_as_0118"], Q=2) +for f, _ in figs: + f.show() +``` + +The `API` object provides a high level interface to the validphys code. Note +that the user doesn't need to know exactly how to load the PDF, create the +relevant grid to be plotted and then pass that to the plotting function, this is +all handled by the underlying code of `reportengine`. This abstraction provides +a convenient way to explore the functionality of `validphys` (or any other +`reportengine` application) as well as to develop further functionality for +`validphys` itself. + +All the actions available to `validphys` are translated into methods of the `API` +object. The arguments are the same as the parameters that the validphys runcard +would need to evaluate the action. + +## Generic Example + +An important use case of this functionality is the development +Consider that you wanted to develop a provider which depends on some expensive providers, defined +somewhere in the `validphys` modules, + +```python +def expensive_provider1(pdf:PDF, Q, theoryid): + ... + +def expensive_provider2(experiments, ...): + ... + +``` + +Now in a notebook we can do + +```python +from validphys.api import API + +expensive1 = API.expesnive_provider1(pdf="NNPDF31_nlo_as_0118", Q=100, theoryid=52) +expensive2 = API.expensive_provider2(experiments={"from_": "fit"}, fit="NNPDF31_nlo_as_0118") + +``` + +We can then define and test our new function (e.g. in a separate notebook cell), + +```python +def developing_provider(expensive_provider1, expensive_provider2): + ... + +test_output = developing_provider(expensive1, expensive2) +``` + +`expensive1` and `expensive2` have already been evaluated using the validphys machinery, and we just +had to declare the `validphys2` runcard inputs in order to use those providers. The output of these +expensive function is now saved. So for the remainder of our notebook session we don't need to +re-run the expensive providers every time we wish to change something with our `developing_provider`. +Clearly this massively reduces the time to develop and test the new provider since, the expensive +providers which the new `developing_provider` depends on are cached for the rest of the jupyter +session. + +For `expensive_provider2` the input was slightly more complicated. When using the API remember that +the input is exactly the same as a `validphys2` runcard. The runcards are in a `yaml` format which +is then parsed as a `dict`. If it seems more intuitive one can utilise this when declaring the +inputs for the API providers, for example: + +```python +input2 = { + "experiments": { + "from_": "fit" + }, + "fit": "NNPDF31_nlo_as_0118" +} +expensive2 = API.expensive_provider2(**input2) +``` + +The `input2` dictionary is visually almost identical the corresponding `validphys2` runcard, we just +need to be careful the separate items with commas, that all dict keys are strings and that +the typing is correct for the various inputs, we can always look up the appropriate typing by using +the `validphys --help` functionality. + +## Creating figures in the `validphys` style + +If a figure is created using the api, as with the first example: + +```python +from validphys.api import API + +fig = API.some_plot(...) +fig.show() +``` + +you might notice that the style of the plot is very different to those produce by `validphys`. If you +want to use the same style as `validphys` then consider using the following commands at the top of +your script or notebook: + +```python +import matplotlib +from validphys import mplstyles +matplotlib.style.use(str(mplstyles.smallstyle)) +``` + +also consider using `fig.tight_layout()` which reportengine uses before saving figures. For the +example used earlier we would then have + +```python +import matplotlib +from validphys import mplstyles +matplotlib.style.use(str(mplstyles.smallstyle)) + +from validphys.api import API + +figs = API.plot_pdfs(pdfs=["NNPDF31_nlo_as_0118"], Q=2) +for f, _ in figs: + f.tight_layout() + f.show() +``` + +## Mixing declarative input with custom resources (NOTE: Experimental) + +For some actions it is possible to mix declarative input with custom resources. + +Take for example `xplotting_grid`, which minimally requires us to specify +`pdf`, `Q`. We see from `validphys --help xplotting_grid` that it depends on the provider `xgrid` +which in turn returns a tuple of `(scale, x_array)`. Using the API we could specify our own custom +xgrid input, but then rely on the API to collect the other relevant resources, for example: + +```python +import numpy as np +from validphys.api import API + +new_xgrid = ("linear", np.array([0.1, 0.2]) +pdf_grid = API.xplotting_grid(pdf="NNPDF31_nlo_as_0118", Q=2, xgrid=new_xgrid) + +``` + +The API offers flexibility to mix declarative inputs such as `pdf=` with python objects +`xgrid=(, )`, note that this is very dependent on the provider in question +and is not guaranteed to work all the time. diff --git a/doc/sphinx/source/theory/dummy.md b/doc/sphinx/source/theory/dummy.md new file mode 100644 index 0000000000..cb9810352f --- /dev/null +++ b/doc/sphinx/source/theory/dummy.md @@ -0,0 +1,152 @@ +# Using the validphys API + +## Introduction + + +The API functionality allows the `validphys`/`reportengine` machinery to be +readily leveraged in a development setting such as a Jupyter notebook. Any +action available to `validphys` can be invoked by Python code, with the same +parameters as a runcard. + +For example: + +```python +from validphys.api import API + +figs = API.plot_pdfs(pdfs=["NNPDF31_nlo_as_0118"], Q=2) +for f, _ in figs: + f.show() +``` + +The `API` object provides a high level interface to the validphys code. Note +that the user doesn't need to know exactly how to load the PDF, create the +relevant grid to be plotted and then pass that to the plotting function, this is +all handled by the underlying code of `reportengine`. This abstraction provides +a convenient way to explore the functionality of `validphys` (or any other +`reportengine` application) as well as to develop further functionality for +`validphys` itself. + +All the actions available to `validphys` are translated into methods of the `API` +object. The arguments are the same as the parameters that the validphys runcard +would need to evaluate the action. + +## Generic Example + +An important use case of this functionality is the development +Consider that you wanted to develop a provider which depends on some expensive providers, defined +somewhere in the `validphys` modules, + +```python +def expensive_provider1(pdf:PDF, Q, theoryid): + ... + +def expensive_provider2(experiments, ...): + ... + +``` + +Now in a notebook we can do + +```python +from validphys.api import API + +expensive1 = API.expesnive_provider1(pdf="NNPDF31_nlo_as_0118", Q=100, theoryid=52) +expensive2 = API.expensive_provider2(experiments={"from_": "fit"}, fit="NNPDF31_nlo_as_0118") + +``` + +We can then define and test our new function (e.g. in a separate notebook cell), + +```python +def developing_provider(expensive_provider1, expensive_provider2): + ... + +test_output = developing_provider(expensive1, expensive2) +``` + +`expensive1` and `expensive2` have already been evaluated using the validphys machinery, and we just +had to declare the `validphys2` runcard inputs in order to use those providers. The output of these +expensive function is now saved. So for the remainder of our notebook session we don't need to +re-run the expensive providers every time we wish to change something with our `developing_provider`. +Clearly this massively reduces the time to develop and test the new provider since, the expensive +providers which the new `developing_provider` depends on are cached for the rest of the jupyter +session. + +For `expensive_provider2` the input was slightly more complicated. When using the API remember that +the input is exactly the same as a `validphys2` runcard. The runcards are in a `yaml` format which +is then parsed as a `dict`. If it seems more intuitive one can utilise this when declaring the +inputs for the API providers, for example: + +```python +input2 = { + "experiments": { + "from_": "fit" + }, + "fit": "NNPDF31_nlo_as_0118" +} +expensive2 = API.expensive_provider2(**input2) +``` + +The `input2` dictionary is visually almost identical the corresponding `validphys2` runcard, we just +need to be careful the separate items with commas, that all dict keys are strings and that +the typing is correct for the various inputs, we can always look up the appropriate typing by using +the `validphys --help` functionality. + +## Creating figures in the `validphys` style + +If a figure is created using the api, as with the first example: + +```python +from validphys.api import API + +fig = API.some_plot(...) +fig.show() +``` + +you might notice that the style of the plot is very different to those produce by `validphys`. If you +want to use the same style as `validphys` then consider using the following commands at the top of +your script or notebook: + +```python +import matplotlib +from validphys import mplstyles +matplotlib.style.use(str(mplstyles.smallstyle)) +``` + +also consider using `fig.tight_layout()` which reportengine uses before saving figures. For the +example used earlier we would then have + +```python +import matplotlib +from validphys import mplstyles +matplotlib.style.use(str(mplstyles.smallstyle)) + +from validphys.api import API + +figs = API.plot_pdfs(pdfs=["NNPDF31_nlo_as_0118"], Q=2) +for f, _ in figs: + f.tight_layout() + f.show() +``` + +## Mixing declarative input with custom resources (NOTE: Experimental) + +For some actions it is possible to mix declarative input with custom resources. + +Take for example `xplotting_grid`, which minimally requires us to specify +`pdf`, `Q`. We see from `validphys --help xplotting_grid` that it depends on the provider `xgrid` +which in turn returns a tuple of `(scale, x_array)`. Using the API we could specify our own custom +xgrid input, but then rely on the API to collect the other relevant resources, for example: + +```python +import numpy as np +from validphys.api import API + +new_xgrid = ("linear", np.array([0.1, 0.2]) +pdf_grid = API.xplotting_grid(pdf="NNPDF31_nlo_as_0118", Q=2, xgrid=new_xgrid) + +``` + +The API offers flexibility to mix declarative inputs such as `pdf=` with python objects +`xgrid=(, )`, note that this is very dependent on the provider in question +and is not guaranteed to work all the time. From da7a7654922ac34a3aa4d72551f0a28d33a6abb5 Mon Sep 17 00:00:00 2001 From: Maria Ubiali Date: Wed, 26 Jun 2019 09:43:20 +0100 Subject: [PATCH 416/429] attempt failed --- doc/sphinx/source/get-started/header.md | 2 + doc/sphinx/source/get-started/index.rst | 13 + .../source/get-started/installation-source.md | 48 ++++ doc/sphinx/source/get-started/installation.md | 47 +-- doc/sphinx/source/index.rst | 10 +- doc/sphinx/source/usage/modules/modules.rst | 7 + .../validphys.compareclosuretemplates.rst | 10 + .../modules/validphys.comparefittemplates.rst | 10 + .../usage/modules/validphys.mplstyles.rst | 10 + .../usage/modules/validphys.paramfits.rst | 36 +++ .../usage/modules/validphys.plotoptions.rst | 50 ++++ doc/sphinx/source/usage/modules/validphys.rst | 267 ++++++++++++++++++ .../usage/modules/validphys.scripts.rst | 71 +++++ .../modules/validphys.tests.baseline.rst | 10 + .../modules/validphys.tests.regressions.rst | 10 + .../source/usage/modules/validphys.tests.rst | 93 ++++++ .../modules/validphys.theorycovariance.rst | 43 +++ 17 files changed, 687 insertions(+), 50 deletions(-) create mode 100644 doc/sphinx/source/get-started/header.md create mode 100644 doc/sphinx/source/get-started/index.rst create mode 100644 doc/sphinx/source/get-started/installation-source.md create mode 100644 doc/sphinx/source/usage/modules/modules.rst create mode 100644 doc/sphinx/source/usage/modules/validphys.compareclosuretemplates.rst create mode 100644 doc/sphinx/source/usage/modules/validphys.comparefittemplates.rst create mode 100644 doc/sphinx/source/usage/modules/validphys.mplstyles.rst create mode 100644 doc/sphinx/source/usage/modules/validphys.paramfits.rst create mode 100644 doc/sphinx/source/usage/modules/validphys.plotoptions.rst create mode 100644 doc/sphinx/source/usage/modules/validphys.rst create mode 100644 doc/sphinx/source/usage/modules/validphys.scripts.rst create mode 100644 doc/sphinx/source/usage/modules/validphys.tests.baseline.rst create mode 100644 doc/sphinx/source/usage/modules/validphys.tests.regressions.rst create mode 100644 doc/sphinx/source/usage/modules/validphys.tests.rst create mode 100644 doc/sphinx/source/usage/modules/validphys.theorycovariance.rst diff --git a/doc/sphinx/source/get-started/header.md b/doc/sphinx/source/get-started/header.md new file mode 100644 index 0000000000..821b90de54 --- /dev/null +++ b/doc/sphinx/source/get-started/header.md @@ -0,0 +1,2 @@ + +# To get started diff --git a/doc/sphinx/source/get-started/index.rst b/doc/sphinx/source/get-started/index.rst new file mode 100644 index 0000000000..a2ab95fe0f --- /dev/null +++ b/doc/sphinx/source/get-started/index.rst @@ -0,0 +1,13 @@ +.. NNPDF documentation master file, created by + sphinx-quickstart on Mon Oct 29 10:53:50 2018. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. get-started/header + +NNPDF documentation +=================== + +.. toctree:: + :maxdepth: 2 + + installation + installation-source diff --git a/doc/sphinx/source/get-started/installation-source.md b/doc/sphinx/source/get-started/installation-source.md new file mode 100644 index 0000000000..56d83d100c --- /dev/null +++ b/doc/sphinx/source/get-started/installation-source.md @@ -0,0 +1,48 @@ +# + +## Installation from source + +If you intend to work on the NNPDF code, then building from source is the recommended installation procedure. However, you can still use conda to get all the dependecies and setup the validphys and C++ development environment. Further information is available in the [vp-guide](https://data.nnpdf.science/validphys-docs/guide.html#development-installs). Note that the `binary-bootstrap.sh` should be downloaded and run as explained above, if the user has not already done so. + +1. Create an NNPDF developer environment `nnpdf-dev` and install all relevant dependencies using + + conda create -n nnpdf-dev + conda activate nnpdf-dev + conda install --only-deps nnpdf + + Note that the user should be in the conda environment `nnpdf-dev` whenever they wish to work on NNPDF code. The conda environment can be exited using `conda deactivate`. + +2. Install the appropriate C++ compilers using + + conda install gxx_linux-64 + + macOS users should replace `gxx_linux-64` with `clangxx_osx-64`. + +3. Ensure that the NNPDF repositories `nnpdf` and `apfel` are in the `nnpdfgit` directory. These are required to be able to run fits and can be obtained respectively by + + git clone git@github.com:NNPDF/nnpdf.git + git clone https://github.com/scarrazza/apfel.git + +4. Obtain the dependencies of the code you want to build. Where to find those depends on the particular code. For example, something linking to `libnnpdf` will likely require `pkg-config`. Projects based on `autotools` (those that have a `./configure` script) will additionally require `automake` and `libtool`. Similarly projects based on `cmake` will require installing the `cmake` package. In the case of `nnpdf` itself, the build dependencies can be found in `/conda-recipe/meta.yaml`. We have to install the remaining ones manually: + + conda install pkg-config swig=3.0.10 cmake + +5. We now need to make the installation prefix point to our `nnpdf-dev` environment, this can be done using: + + $CONDA_PREFIX==~/miniconda3/envs/nnpdf-dev/ + + this assumes `miniconda3` is installed in the default place which is the home directory. + +6. Navigate to the `nnpdf` directory obtained from the Github repository and create a folder called `conda-bld` by + + nnpdf$ mkdir conda-bld + nnpdf$ cd conda-bld + + Note that it is important that for the following step to be executed while the user is in the `nnpdf-dev` conda environment. The project can be built using: + + nnpdf/conda-bld$ cmake .. -DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX + +7. When the user wishes to work on the NNPDF code, they should do so in, for example, `'/nnpdfgit/nnpdf/libnnpdf'`. To compile the code navigate to the `conda-bld` directory created above and run + + make + make install diff --git a/doc/sphinx/source/get-started/installation.md b/doc/sphinx/source/get-started/installation.md index c3cd15fe6f..b641c8157e 100644 --- a/doc/sphinx/source/get-started/installation.md +++ b/doc/sphinx/source/get-started/installation.md @@ -1,6 +1,7 @@ -# Installation +# ## Installation using conda + ### Adding RSA key to Github To clone the NNPDF Github repositories, you must add a public RSA key to Github. @@ -73,48 +74,4 @@ This will provide functioning C++ and Python executables. This will avoid symlinking the existing LHAPDF configuration, which may be corrupted or incompatible. You should make sure only the grid folders are transferred if you copy or move instead. -## Installation from source -If you intend to work on the NNPDF code, then building from source is the recommended installation procedure. However, you can still use conda to get all the dependecies and setup the validphys and C++ development environment. Further information is available in the [vp-guide](https://data.nnpdf.science/validphys-docs/guide.html#development-installs). Note that the `binary-bootstrap.sh` should be downloaded and run as explained above, if the user has not already done so. - -1. Create an NNPDF developer environment `nnpdf-dev` and install all relevant dependencies using - - conda create -n nnpdf-dev - conda activate nnpdf-dev - conda install --only-deps nnpdf - - Note that the user should be in the conda environment `nnpdf-dev` whenever they wish to work on NNPDF code. The conda environment can be exited using `conda deactivate`. - -2. Install the appropriate C++ compilers using - - conda install gxx_linux-64 - - macOS users should replace `gxx_linux-64` with `clangxx_osx-64`. - -3. Ensure that the NNPDF repositories `nnpdf` and `apfel` are in the `nnpdfgit` directory. These are required to be able to run fits and can be obtained respectively by - - git clone git@github.com:NNPDF/nnpdf.git - git clone https://github.com/scarrazza/apfel.git - -4. Obtain the dependencies of the code you want to build. Where to find those depends on the particular code. For example, something linking to `libnnpdf` will likely require `pkg-config`. Projects based on `autotools` (those that have a `./configure` script) will additionally require `automake` and `libtool`. Similarly projects based on `cmake` will require installing the `cmake` package. In the case of `nnpdf` itself, the build dependencies can be found in `/conda-recipe/meta.yaml`. We have to install the remaining ones manually: - - conda install pkg-config swig=3.0.10 cmake - -5. We now need to make the installation prefix point to our `nnpdf-dev` environment, this can be done using: - - $CONDA_PREFIX==~/miniconda3/envs/nnpdf-dev/ - - this assumes `miniconda3` is installed in the default place which is the home directory. - -6. Navigate to the `nnpdf` directory obtained from the Github repository and create a folder called `conda-bld` by - - nnpdf$ mkdir conda-bld - nnpdf$ cd conda-bld - - Note that it is important that for the following step to be executed while the user is in the `nnpdf-dev` conda environment. The project can be built using: - - nnpdf/conda-bld$ cmake .. -DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX - -7. When the user wishes to work on the NNPDF code, they should do so in, for example, `'/nnpdfgit/nnpdf/libnnpdf'`. To compile the code navigate to the `conda-bld` directory created above and run - make - make install diff --git a/doc/sphinx/source/index.rst b/doc/sphinx/source/index.rst index 8da3d744db..1fc9f5539c 100644 --- a/doc/sphinx/source/index.rst +++ b/doc/sphinx/source/index.rst @@ -1,18 +1,18 @@ .. NNPDF documentation master file, created by sphinx-quickstart on Mon Oct 29 10:53:50 2018. You can adapt this file completely to your liking, but it should at least - contain the root `toctree` directive. + contain the root `toctree` directive. get-started/header NNPDF documentation =================== .. toctree:: :maxdepth: 2 - :caption: Contents: - usage/installation - usage/runafit - usage/api + get-started/header.md + get-started/installation.md + get-started/installation-source.md + Indices and tables ================== diff --git a/doc/sphinx/source/usage/modules/modules.rst b/doc/sphinx/source/usage/modules/modules.rst new file mode 100644 index 0000000000..7c678b4ac6 --- /dev/null +++ b/doc/sphinx/source/usage/modules/modules.rst @@ -0,0 +1,7 @@ +validphys +========= + +.. toctree:: + :maxdepth: 4 + + validphys diff --git a/doc/sphinx/source/usage/modules/validphys.compareclosuretemplates.rst b/doc/sphinx/source/usage/modules/validphys.compareclosuretemplates.rst new file mode 100644 index 0000000000..1726117e07 --- /dev/null +++ b/doc/sphinx/source/usage/modules/validphys.compareclosuretemplates.rst @@ -0,0 +1,10 @@ +validphys.compareclosuretemplates package +========================================= + +Module contents +--------------- + +.. automodule:: validphys.compareclosuretemplates + :members: + :undoc-members: + :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.comparefittemplates.rst b/doc/sphinx/source/usage/modules/validphys.comparefittemplates.rst new file mode 100644 index 0000000000..a24d4b5a1b --- /dev/null +++ b/doc/sphinx/source/usage/modules/validphys.comparefittemplates.rst @@ -0,0 +1,10 @@ +validphys.comparefittemplates package +===================================== + +Module contents +--------------- + +.. automodule:: validphys.comparefittemplates + :members: + :undoc-members: + :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.mplstyles.rst b/doc/sphinx/source/usage/modules/validphys.mplstyles.rst new file mode 100644 index 0000000000..15a3dcc88e --- /dev/null +++ b/doc/sphinx/source/usage/modules/validphys.mplstyles.rst @@ -0,0 +1,10 @@ +validphys.mplstyles package +=========================== + +Module contents +--------------- + +.. automodule:: validphys.mplstyles + :members: + :undoc-members: + :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.paramfits.rst b/doc/sphinx/source/usage/modules/validphys.paramfits.rst new file mode 100644 index 0000000000..b764bdc2fb --- /dev/null +++ b/doc/sphinx/source/usage/modules/validphys.paramfits.rst @@ -0,0 +1,36 @@ +validphys.paramfits package +=========================== + +Submodules +---------- + +validphys.paramfits.config module +--------------------------------- + +.. automodule:: validphys.paramfits.config + :members: + :undoc-members: + :show-inheritance: +validphys.paramfits.dataops module +---------------------------------- + +.. automodule:: validphys.paramfits.dataops + :members: + :undoc-members: + :show-inheritance: +validphys.paramfits.plots module +-------------------------------- + +.. automodule:: validphys.paramfits.plots + :members: + :undoc-members: + :show-inheritance: + + +Module contents +--------------- + +.. automodule:: validphys.paramfits + :members: + :undoc-members: + :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.plotoptions.rst b/doc/sphinx/source/usage/modules/validphys.plotoptions.rst new file mode 100644 index 0000000000..c75ea7f466 --- /dev/null +++ b/doc/sphinx/source/usage/modules/validphys.plotoptions.rst @@ -0,0 +1,50 @@ +validphys.plotoptions package +============================= + +Submodules +---------- + +validphys.plotoptions.core module +--------------------------------- + +.. automodule:: validphys.plotoptions.core + :members: + :undoc-members: + :show-inheritance: +validphys.plotoptions.kintransforms module +------------------------------------------ + +.. automodule:: validphys.plotoptions.kintransforms + :members: + :undoc-members: + :show-inheritance: +validphys.plotoptions.labelers module +------------------------------------- + +.. automodule:: validphys.plotoptions.labelers + :members: + :undoc-members: + :show-inheritance: +validphys.plotoptions.resulttransforms module +--------------------------------------------- + +.. automodule:: validphys.plotoptions.resulttransforms + :members: + :undoc-members: + :show-inheritance: +validphys.plotoptions.utils module +---------------------------------- + +.. automodule:: validphys.plotoptions.utils + :members: + :undoc-members: + :show-inheritance: + + +Module contents +--------------- + +.. automodule:: validphys.plotoptions + :members: + :undoc-members: + :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.rst b/doc/sphinx/source/usage/modules/validphys.rst new file mode 100644 index 0000000000..ad94be4463 --- /dev/null +++ b/doc/sphinx/source/usage/modules/validphys.rst @@ -0,0 +1,267 @@ +validphys package +================= + +Subpackages +----------- + +.. toctree:: + + validphys.compareclosuretemplates + validphys.comparefittemplates + validphys.mplstyles + validphys.paramfits + validphys.plotoptions + validphys.scripts + validphys.tests + validphys.theorycovariance + +Submodules +---------- + +validphys.MCgen\_checks module +------------------------------ + +.. automodule:: validphys.MCgen_checks + :members: + :undoc-members: + :show-inheritance: +validphys.api module +-------------------- + +.. automodule:: validphys.api + :members: + :undoc-members: + :show-inheritance: +validphys.app module +-------------------- + +.. automodule:: validphys.app + :members: + :undoc-members: + :show-inheritance: +validphys.arclength module +-------------------------- + +.. automodule:: validphys.arclength + :members: + :undoc-members: + :show-inheritance: +validphys.calcutils module +-------------------------- + +.. automodule:: validphys.calcutils + :members: + :undoc-members: + :show-inheritance: +validphys.checks module +----------------------- + +.. automodule:: validphys.checks + :members: + :undoc-members: + :show-inheritance: +validphys.chi2grids module +-------------------------- + +.. automodule:: validphys.chi2grids + :members: + :undoc-members: + :show-inheritance: +validphys.closure module +------------------------ + +.. automodule:: validphys.closure + :members: + :undoc-members: + :show-inheritance: +validphys.config module +----------------------- + +.. automodule:: validphys.config + :members: + :undoc-members: + :show-inheritance: +validphys.core module +--------------------- + +.. automodule:: validphys.core + :members: + :undoc-members: + :show-inheritance: +validphys.correlations module +----------------------------- + +.. automodule:: validphys.correlations + :members: + :undoc-members: + :show-inheritance: +validphys.dataplots module +-------------------------- + +.. automodule:: validphys.dataplots + :members: + :undoc-members: + :show-inheritance: +validphys.eff\_exponents module +------------------------------- + +.. automodule:: validphys.eff_exponents + :members: + :undoc-members: + :show-inheritance: +validphys.filters module +------------------------ + +.. automodule:: validphys.filters + :members: + :undoc-members: + :show-inheritance: +validphys.fitdata module +------------------------ + +.. automodule:: validphys.fitdata + :members: + :undoc-members: + :show-inheritance: +validphys.fitveto module +------------------------ + +.. automodule:: validphys.fitveto + :members: + :undoc-members: + :show-inheritance: +validphys.gridvalues module +--------------------------- + +.. automodule:: validphys.gridvalues + :members: + :undoc-members: + :show-inheritance: +validphys.kinematics module +--------------------------- + +.. automodule:: validphys.kinematics + :members: + :undoc-members: + :show-inheritance: +validphys.lhaindex module +------------------------- + +.. automodule:: validphys.lhaindex + :members: + :undoc-members: + :show-inheritance: +validphys.lhio module +--------------------- + +.. automodule:: validphys.lhio + :members: + :undoc-members: + :show-inheritance: +validphys.loader module +----------------------- + +.. automodule:: validphys.loader + :members: + :undoc-members: + :show-inheritance: +validphys.pdfbases module +------------------------- + +.. automodule:: validphys.pdfbases + :members: + :undoc-members: + :show-inheritance: +validphys.pdfgrids module +------------------------- + +.. automodule:: validphys.pdfgrids + :members: + :undoc-members: + :show-inheritance: +validphys.pdfoutput module +-------------------------- + +.. automodule:: validphys.pdfoutput + :members: + :undoc-members: + :show-inheritance: +validphys.pdfplots module +------------------------- + +.. automodule:: validphys.pdfplots + :members: + :undoc-members: + :show-inheritance: +validphys.plotutils module +-------------------------- + +.. automodule:: validphys.plotutils + :members: + :undoc-members: + :show-inheritance: +validphys.promptutils module +---------------------------- + +.. automodule:: validphys.promptutils + :members: + :undoc-members: + :show-inheritance: +validphys.replica\_selector module +---------------------------------- + +.. automodule:: validphys.replica_selector + :members: + :undoc-members: + :show-inheritance: +validphys.results module +------------------------ + +.. automodule:: validphys.results + :members: + :undoc-members: + :show-inheritance: +validphys.reweighting module +---------------------------- + +.. automodule:: validphys.reweighting + :members: + :undoc-members: + :show-inheritance: +validphys.sumrules module +------------------------- + +.. automodule:: validphys.sumrules + :members: + :undoc-members: + :show-inheritance: +validphys.tableloader module +---------------------------- + +.. automodule:: validphys.tableloader + :members: + :undoc-members: + :show-inheritance: +validphys.uploadutils module +---------------------------- + +.. automodule:: validphys.uploadutils + :members: + :undoc-members: + :show-inheritance: +validphys.utils module +---------------------- + +.. automodule:: validphys.utils + :members: + :undoc-members: + :show-inheritance: + + +Module contents +--------------- + +.. automodule:: validphys + :members: + :undoc-members: + :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.scripts.rst b/doc/sphinx/source/usage/modules/validphys.scripts.rst new file mode 100644 index 0000000000..5763ff4b3f --- /dev/null +++ b/doc/sphinx/source/usage/modules/validphys.scripts.rst @@ -0,0 +1,71 @@ +validphys.scripts package +========================= + +Submodules +---------- + +validphys.scripts.fitrename module +---------------------------------- + +.. automodule:: validphys.scripts.fitrename + :members: + :undoc-members: + :show-inheritance: +validphys.scripts.main module +----------------------------- + +.. automodule:: validphys.scripts.main + :members: + :undoc-members: + :show-inheritance: +validphys.scripts.postfit module +-------------------------------- + +.. automodule:: validphys.scripts.postfit + :members: + :undoc-members: + :show-inheritance: +validphys.scripts.vp\_comparefits module +---------------------------------------- + +.. automodule:: validphys.scripts.vp_comparefits + :members: + :undoc-members: + :show-inheritance: +validphys.scripts.vp\_get module +-------------------------------- + +.. automodule:: validphys.scripts.vp_get + :members: + :undoc-members: + :show-inheritance: +validphys.scripts.vp\_setupfit module +------------------------------------- + +.. automodule:: validphys.scripts.vp_setupfit + :members: + :undoc-members: + :show-inheritance: +validphys.scripts.vp\_upload module +----------------------------------- + +.. automodule:: validphys.scripts.vp_upload + :members: + :undoc-members: + :show-inheritance: +validphys.scripts.wiki\_upload module +------------------------------------- + +.. automodule:: validphys.scripts.wiki_upload + :members: + :undoc-members: + :show-inheritance: + + +Module contents +--------------- + +.. automodule:: validphys.scripts + :members: + :undoc-members: + :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.tests.baseline.rst b/doc/sphinx/source/usage/modules/validphys.tests.baseline.rst new file mode 100644 index 0000000000..1aec44b797 --- /dev/null +++ b/doc/sphinx/source/usage/modules/validphys.tests.baseline.rst @@ -0,0 +1,10 @@ +validphys.tests.baseline package +================================ + +Module contents +--------------- + +.. automodule:: validphys.tests.baseline + :members: + :undoc-members: + :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.tests.regressions.rst b/doc/sphinx/source/usage/modules/validphys.tests.regressions.rst new file mode 100644 index 0000000000..d97beaf7fd --- /dev/null +++ b/doc/sphinx/source/usage/modules/validphys.tests.regressions.rst @@ -0,0 +1,10 @@ +validphys.tests.regressions package +=================================== + +Module contents +--------------- + +.. automodule:: validphys.tests.regressions + :members: + :undoc-members: + :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.tests.rst b/doc/sphinx/source/usage/modules/validphys.tests.rst new file mode 100644 index 0000000000..0cb32a7a9b --- /dev/null +++ b/doc/sphinx/source/usage/modules/validphys.tests.rst @@ -0,0 +1,93 @@ +validphys.tests package +======================= + +Subpackages +----------- + +.. toctree:: + + validphys.tests.baseline + validphys.tests.regressions + +Submodules +---------- + +validphys.tests.conftest module +------------------------------- + +.. automodule:: validphys.tests.conftest + :members: + :undoc-members: + :show-inheritance: +validphys.tests.test\_calcutils module +-------------------------------------- + +.. automodule:: validphys.tests.test_calcutils + :members: + :undoc-members: + :show-inheritance: +validphys.tests.test\_fitdata module +------------------------------------ + +.. automodule:: validphys.tests.test_fitdata + :members: + :undoc-members: + :show-inheritance: +validphys.tests.test\_fitveto module +------------------------------------ + +.. automodule:: validphys.tests.test_fitveto + :members: + :undoc-members: + :show-inheritance: +validphys.tests.test\_loader module +----------------------------------- + +.. automodule:: validphys.tests.test_loader + :members: + :undoc-members: + :show-inheritance: +validphys.tests.test\_pdfplots module +------------------------------------- + +.. automodule:: validphys.tests.test_pdfplots + :members: + :undoc-members: + :show-inheritance: +validphys.tests.test\_regressions module +---------------------------------------- + +.. automodule:: validphys.tests.test_regressions + :members: + :undoc-members: + :show-inheritance: +validphys.tests.test\_tableloader module +---------------------------------------- + +.. automodule:: validphys.tests.test_tableloader + :members: + :undoc-members: + :show-inheritance: +validphys.tests.test\_utils module +---------------------------------- + +.. automodule:: validphys.tests.test_utils + :members: + :undoc-members: + :show-inheritance: +validphys.tests.test\_weights module +------------------------------------ + +.. automodule:: validphys.tests.test_weights + :members: + :undoc-members: + :show-inheritance: + + +Module contents +--------------- + +.. automodule:: validphys.tests + :members: + :undoc-members: + :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.theorycovariance.rst b/doc/sphinx/source/usage/modules/validphys.theorycovariance.rst new file mode 100644 index 0000000000..a0f76ac1e0 --- /dev/null +++ b/doc/sphinx/source/usage/modules/validphys.theorycovariance.rst @@ -0,0 +1,43 @@ +validphys.theorycovariance package +================================== + +Submodules +---------- + +validphys.theorycovariance.construction module +---------------------------------------------- + +.. automodule:: validphys.theorycovariance.construction + :members: + :undoc-members: + :show-inheritance: +validphys.theorycovariance.output module +---------------------------------------- + +.. automodule:: validphys.theorycovariance.output + :members: + :undoc-members: + :show-inheritance: +validphys.theorycovariance.tests module +--------------------------------------- + +.. automodule:: validphys.theorycovariance.tests + :members: + :undoc-members: + :show-inheritance: +validphys.theorycovariance.theorycovarianceutils module +------------------------------------------------------- + +.. automodule:: validphys.theorycovariance.theorycovarianceutils + :members: + :undoc-members: + :show-inheritance: + + +Module contents +--------------- + +.. automodule:: validphys.theorycovariance + :members: + :undoc-members: + :show-inheritance: From 6029dc17b4473c6770963603be9a6fa9aabc24dd Mon Sep 17 00:00:00 2001 From: juacrumar Date: Wed, 26 Jun 2019 14:59:45 +0200 Subject: [PATCH 417/429] typo fix --- n3fit/n3fit/evolven3fit/makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/n3fit/n3fit/evolven3fit/makefile b/n3fit/n3fit/evolven3fit/makefile index 32cd35e92f..da84de5d3c 100644 --- a/n3fit/n3fit/evolven3fit/makefile +++ b/n3fit/n3fit/evolven3fit/makefile @@ -1,6 +1,6 @@ ## Simple and stupid makefile -NNPDFSRC=../../ +NNPDFSRC=../../../ INCLUDES=`pkg-config nnpdf --cflags` `pkg-config gsl --cflags` `apfel-config --cxxflags` `pkg-config yaml-cpp --cflags` LIBS=`pkg-config nnpdf --libs` `pkg-config gsl --libs` `apfel-config --ldflags` `pkg-config yaml-cpp --libs` From 7b12f6fc893416d48d35b540c602fccbbaf52b84 Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 26 Jun 2019 14:09:58 +0100 Subject: [PATCH 418/429] fixing index issue --- doc/sphinx/source/get-started/index.rst | 13 ------------- .../source/get-started/installation-source.md | 2 -- doc/sphinx/source/get-started/installation.md | 2 -- doc/sphinx/source/index.rst | 4 +--- 4 files changed, 1 insertion(+), 20 deletions(-) delete mode 100644 doc/sphinx/source/get-started/index.rst diff --git a/doc/sphinx/source/get-started/index.rst b/doc/sphinx/source/get-started/index.rst deleted file mode 100644 index a2ab95fe0f..0000000000 --- a/doc/sphinx/source/get-started/index.rst +++ /dev/null @@ -1,13 +0,0 @@ -.. NNPDF documentation master file, created by - sphinx-quickstart on Mon Oct 29 10:53:50 2018. - You can adapt this file completely to your liking, but it should at least - contain the root `toctree` directive. get-started/header - -NNPDF documentation -=================== - -.. toctree:: - :maxdepth: 2 - - installation - installation-source diff --git a/doc/sphinx/source/get-started/installation-source.md b/doc/sphinx/source/get-started/installation-source.md index 56d83d100c..de23bb509d 100644 --- a/doc/sphinx/source/get-started/installation-source.md +++ b/doc/sphinx/source/get-started/installation-source.md @@ -1,5 +1,3 @@ -# - ## Installation from source If you intend to work on the NNPDF code, then building from source is the recommended installation procedure. However, you can still use conda to get all the dependecies and setup the validphys and C++ development environment. Further information is available in the [vp-guide](https://data.nnpdf.science/validphys-docs/guide.html#development-installs). Note that the `binary-bootstrap.sh` should be downloaded and run as explained above, if the user has not already done so. diff --git a/doc/sphinx/source/get-started/installation.md b/doc/sphinx/source/get-started/installation.md index b641c8157e..e92cfc63ee 100644 --- a/doc/sphinx/source/get-started/installation.md +++ b/doc/sphinx/source/get-started/installation.md @@ -1,5 +1,3 @@ -# - ## Installation using conda ### Adding RSA key to Github diff --git a/doc/sphinx/source/index.rst b/doc/sphinx/source/index.rst index 1fc9f5539c..e42199da2b 100644 --- a/doc/sphinx/source/index.rst +++ b/doc/sphinx/source/index.rst @@ -9,9 +9,7 @@ NNPDF documentation .. toctree:: :maxdepth: 2 - get-started/header.md - get-started/installation.md - get-started/installation-source.md + get-started/index Indices and tables From 0f73044cfa8b04989f951fb65bcb4e2bf2e0af98 Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 26 Jun 2019 14:18:45 +0100 Subject: [PATCH 419/429] removing module files --- doc/sphinx/source/usage/modules/modules.rst | 7 - .../validphys.compareclosuretemplates.rst | 10 - .../modules/validphys.comparefittemplates.rst | 10 - .../usage/modules/validphys.mplstyles.rst | 10 - .../usage/modules/validphys.paramfits.rst | 36 --- .../usage/modules/validphys.plotoptions.rst | 50 ---- doc/sphinx/source/usage/modules/validphys.rst | 267 ------------------ .../usage/modules/validphys.scripts.rst | 71 ----- .../modules/validphys.tests.baseline.rst | 10 - .../modules/validphys.tests.regressions.rst | 10 - .../source/usage/modules/validphys.tests.rst | 93 ------ .../modules/validphys.theorycovariance.rst | 43 --- 12 files changed, 617 deletions(-) delete mode 100644 doc/sphinx/source/usage/modules/modules.rst delete mode 100644 doc/sphinx/source/usage/modules/validphys.compareclosuretemplates.rst delete mode 100644 doc/sphinx/source/usage/modules/validphys.comparefittemplates.rst delete mode 100644 doc/sphinx/source/usage/modules/validphys.mplstyles.rst delete mode 100644 doc/sphinx/source/usage/modules/validphys.paramfits.rst delete mode 100644 doc/sphinx/source/usage/modules/validphys.plotoptions.rst delete mode 100644 doc/sphinx/source/usage/modules/validphys.rst delete mode 100644 doc/sphinx/source/usage/modules/validphys.scripts.rst delete mode 100644 doc/sphinx/source/usage/modules/validphys.tests.baseline.rst delete mode 100644 doc/sphinx/source/usage/modules/validphys.tests.regressions.rst delete mode 100644 doc/sphinx/source/usage/modules/validphys.tests.rst delete mode 100644 doc/sphinx/source/usage/modules/validphys.theorycovariance.rst diff --git a/doc/sphinx/source/usage/modules/modules.rst b/doc/sphinx/source/usage/modules/modules.rst deleted file mode 100644 index 7c678b4ac6..0000000000 --- a/doc/sphinx/source/usage/modules/modules.rst +++ /dev/null @@ -1,7 +0,0 @@ -validphys -========= - -.. toctree:: - :maxdepth: 4 - - validphys diff --git a/doc/sphinx/source/usage/modules/validphys.compareclosuretemplates.rst b/doc/sphinx/source/usage/modules/validphys.compareclosuretemplates.rst deleted file mode 100644 index 1726117e07..0000000000 --- a/doc/sphinx/source/usage/modules/validphys.compareclosuretemplates.rst +++ /dev/null @@ -1,10 +0,0 @@ -validphys.compareclosuretemplates package -========================================= - -Module contents ---------------- - -.. automodule:: validphys.compareclosuretemplates - :members: - :undoc-members: - :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.comparefittemplates.rst b/doc/sphinx/source/usage/modules/validphys.comparefittemplates.rst deleted file mode 100644 index a24d4b5a1b..0000000000 --- a/doc/sphinx/source/usage/modules/validphys.comparefittemplates.rst +++ /dev/null @@ -1,10 +0,0 @@ -validphys.comparefittemplates package -===================================== - -Module contents ---------------- - -.. automodule:: validphys.comparefittemplates - :members: - :undoc-members: - :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.mplstyles.rst b/doc/sphinx/source/usage/modules/validphys.mplstyles.rst deleted file mode 100644 index 15a3dcc88e..0000000000 --- a/doc/sphinx/source/usage/modules/validphys.mplstyles.rst +++ /dev/null @@ -1,10 +0,0 @@ -validphys.mplstyles package -=========================== - -Module contents ---------------- - -.. automodule:: validphys.mplstyles - :members: - :undoc-members: - :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.paramfits.rst b/doc/sphinx/source/usage/modules/validphys.paramfits.rst deleted file mode 100644 index b764bdc2fb..0000000000 --- a/doc/sphinx/source/usage/modules/validphys.paramfits.rst +++ /dev/null @@ -1,36 +0,0 @@ -validphys.paramfits package -=========================== - -Submodules ----------- - -validphys.paramfits.config module ---------------------------------- - -.. automodule:: validphys.paramfits.config - :members: - :undoc-members: - :show-inheritance: -validphys.paramfits.dataops module ----------------------------------- - -.. automodule:: validphys.paramfits.dataops - :members: - :undoc-members: - :show-inheritance: -validphys.paramfits.plots module --------------------------------- - -.. automodule:: validphys.paramfits.plots - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: validphys.paramfits - :members: - :undoc-members: - :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.plotoptions.rst b/doc/sphinx/source/usage/modules/validphys.plotoptions.rst deleted file mode 100644 index c75ea7f466..0000000000 --- a/doc/sphinx/source/usage/modules/validphys.plotoptions.rst +++ /dev/null @@ -1,50 +0,0 @@ -validphys.plotoptions package -============================= - -Submodules ----------- - -validphys.plotoptions.core module ---------------------------------- - -.. automodule:: validphys.plotoptions.core - :members: - :undoc-members: - :show-inheritance: -validphys.plotoptions.kintransforms module ------------------------------------------- - -.. automodule:: validphys.plotoptions.kintransforms - :members: - :undoc-members: - :show-inheritance: -validphys.plotoptions.labelers module -------------------------------------- - -.. automodule:: validphys.plotoptions.labelers - :members: - :undoc-members: - :show-inheritance: -validphys.plotoptions.resulttransforms module ---------------------------------------------- - -.. automodule:: validphys.plotoptions.resulttransforms - :members: - :undoc-members: - :show-inheritance: -validphys.plotoptions.utils module ----------------------------------- - -.. automodule:: validphys.plotoptions.utils - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: validphys.plotoptions - :members: - :undoc-members: - :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.rst b/doc/sphinx/source/usage/modules/validphys.rst deleted file mode 100644 index ad94be4463..0000000000 --- a/doc/sphinx/source/usage/modules/validphys.rst +++ /dev/null @@ -1,267 +0,0 @@ -validphys package -================= - -Subpackages ------------ - -.. toctree:: - - validphys.compareclosuretemplates - validphys.comparefittemplates - validphys.mplstyles - validphys.paramfits - validphys.plotoptions - validphys.scripts - validphys.tests - validphys.theorycovariance - -Submodules ----------- - -validphys.MCgen\_checks module ------------------------------- - -.. automodule:: validphys.MCgen_checks - :members: - :undoc-members: - :show-inheritance: -validphys.api module --------------------- - -.. automodule:: validphys.api - :members: - :undoc-members: - :show-inheritance: -validphys.app module --------------------- - -.. automodule:: validphys.app - :members: - :undoc-members: - :show-inheritance: -validphys.arclength module --------------------------- - -.. automodule:: validphys.arclength - :members: - :undoc-members: - :show-inheritance: -validphys.calcutils module --------------------------- - -.. automodule:: validphys.calcutils - :members: - :undoc-members: - :show-inheritance: -validphys.checks module ------------------------ - -.. automodule:: validphys.checks - :members: - :undoc-members: - :show-inheritance: -validphys.chi2grids module --------------------------- - -.. automodule:: validphys.chi2grids - :members: - :undoc-members: - :show-inheritance: -validphys.closure module ------------------------- - -.. automodule:: validphys.closure - :members: - :undoc-members: - :show-inheritance: -validphys.config module ------------------------ - -.. automodule:: validphys.config - :members: - :undoc-members: - :show-inheritance: -validphys.core module ---------------------- - -.. automodule:: validphys.core - :members: - :undoc-members: - :show-inheritance: -validphys.correlations module ------------------------------ - -.. automodule:: validphys.correlations - :members: - :undoc-members: - :show-inheritance: -validphys.dataplots module --------------------------- - -.. automodule:: validphys.dataplots - :members: - :undoc-members: - :show-inheritance: -validphys.eff\_exponents module -------------------------------- - -.. automodule:: validphys.eff_exponents - :members: - :undoc-members: - :show-inheritance: -validphys.filters module ------------------------- - -.. automodule:: validphys.filters - :members: - :undoc-members: - :show-inheritance: -validphys.fitdata module ------------------------- - -.. automodule:: validphys.fitdata - :members: - :undoc-members: - :show-inheritance: -validphys.fitveto module ------------------------- - -.. automodule:: validphys.fitveto - :members: - :undoc-members: - :show-inheritance: -validphys.gridvalues module ---------------------------- - -.. automodule:: validphys.gridvalues - :members: - :undoc-members: - :show-inheritance: -validphys.kinematics module ---------------------------- - -.. automodule:: validphys.kinematics - :members: - :undoc-members: - :show-inheritance: -validphys.lhaindex module -------------------------- - -.. automodule:: validphys.lhaindex - :members: - :undoc-members: - :show-inheritance: -validphys.lhio module ---------------------- - -.. automodule:: validphys.lhio - :members: - :undoc-members: - :show-inheritance: -validphys.loader module ------------------------ - -.. automodule:: validphys.loader - :members: - :undoc-members: - :show-inheritance: -validphys.pdfbases module -------------------------- - -.. automodule:: validphys.pdfbases - :members: - :undoc-members: - :show-inheritance: -validphys.pdfgrids module -------------------------- - -.. automodule:: validphys.pdfgrids - :members: - :undoc-members: - :show-inheritance: -validphys.pdfoutput module --------------------------- - -.. automodule:: validphys.pdfoutput - :members: - :undoc-members: - :show-inheritance: -validphys.pdfplots module -------------------------- - -.. automodule:: validphys.pdfplots - :members: - :undoc-members: - :show-inheritance: -validphys.plotutils module --------------------------- - -.. automodule:: validphys.plotutils - :members: - :undoc-members: - :show-inheritance: -validphys.promptutils module ----------------------------- - -.. automodule:: validphys.promptutils - :members: - :undoc-members: - :show-inheritance: -validphys.replica\_selector module ----------------------------------- - -.. automodule:: validphys.replica_selector - :members: - :undoc-members: - :show-inheritance: -validphys.results module ------------------------- - -.. automodule:: validphys.results - :members: - :undoc-members: - :show-inheritance: -validphys.reweighting module ----------------------------- - -.. automodule:: validphys.reweighting - :members: - :undoc-members: - :show-inheritance: -validphys.sumrules module -------------------------- - -.. automodule:: validphys.sumrules - :members: - :undoc-members: - :show-inheritance: -validphys.tableloader module ----------------------------- - -.. automodule:: validphys.tableloader - :members: - :undoc-members: - :show-inheritance: -validphys.uploadutils module ----------------------------- - -.. automodule:: validphys.uploadutils - :members: - :undoc-members: - :show-inheritance: -validphys.utils module ----------------------- - -.. automodule:: validphys.utils - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: validphys - :members: - :undoc-members: - :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.scripts.rst b/doc/sphinx/source/usage/modules/validphys.scripts.rst deleted file mode 100644 index 5763ff4b3f..0000000000 --- a/doc/sphinx/source/usage/modules/validphys.scripts.rst +++ /dev/null @@ -1,71 +0,0 @@ -validphys.scripts package -========================= - -Submodules ----------- - -validphys.scripts.fitrename module ----------------------------------- - -.. automodule:: validphys.scripts.fitrename - :members: - :undoc-members: - :show-inheritance: -validphys.scripts.main module ------------------------------ - -.. automodule:: validphys.scripts.main - :members: - :undoc-members: - :show-inheritance: -validphys.scripts.postfit module --------------------------------- - -.. automodule:: validphys.scripts.postfit - :members: - :undoc-members: - :show-inheritance: -validphys.scripts.vp\_comparefits module ----------------------------------------- - -.. automodule:: validphys.scripts.vp_comparefits - :members: - :undoc-members: - :show-inheritance: -validphys.scripts.vp\_get module --------------------------------- - -.. automodule:: validphys.scripts.vp_get - :members: - :undoc-members: - :show-inheritance: -validphys.scripts.vp\_setupfit module -------------------------------------- - -.. automodule:: validphys.scripts.vp_setupfit - :members: - :undoc-members: - :show-inheritance: -validphys.scripts.vp\_upload module ------------------------------------ - -.. automodule:: validphys.scripts.vp_upload - :members: - :undoc-members: - :show-inheritance: -validphys.scripts.wiki\_upload module -------------------------------------- - -.. automodule:: validphys.scripts.wiki_upload - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: validphys.scripts - :members: - :undoc-members: - :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.tests.baseline.rst b/doc/sphinx/source/usage/modules/validphys.tests.baseline.rst deleted file mode 100644 index 1aec44b797..0000000000 --- a/doc/sphinx/source/usage/modules/validphys.tests.baseline.rst +++ /dev/null @@ -1,10 +0,0 @@ -validphys.tests.baseline package -================================ - -Module contents ---------------- - -.. automodule:: validphys.tests.baseline - :members: - :undoc-members: - :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.tests.regressions.rst b/doc/sphinx/source/usage/modules/validphys.tests.regressions.rst deleted file mode 100644 index d97beaf7fd..0000000000 --- a/doc/sphinx/source/usage/modules/validphys.tests.regressions.rst +++ /dev/null @@ -1,10 +0,0 @@ -validphys.tests.regressions package -=================================== - -Module contents ---------------- - -.. automodule:: validphys.tests.regressions - :members: - :undoc-members: - :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.tests.rst b/doc/sphinx/source/usage/modules/validphys.tests.rst deleted file mode 100644 index 0cb32a7a9b..0000000000 --- a/doc/sphinx/source/usage/modules/validphys.tests.rst +++ /dev/null @@ -1,93 +0,0 @@ -validphys.tests package -======================= - -Subpackages ------------ - -.. toctree:: - - validphys.tests.baseline - validphys.tests.regressions - -Submodules ----------- - -validphys.tests.conftest module -------------------------------- - -.. automodule:: validphys.tests.conftest - :members: - :undoc-members: - :show-inheritance: -validphys.tests.test\_calcutils module --------------------------------------- - -.. automodule:: validphys.tests.test_calcutils - :members: - :undoc-members: - :show-inheritance: -validphys.tests.test\_fitdata module ------------------------------------- - -.. automodule:: validphys.tests.test_fitdata - :members: - :undoc-members: - :show-inheritance: -validphys.tests.test\_fitveto module ------------------------------------- - -.. automodule:: validphys.tests.test_fitveto - :members: - :undoc-members: - :show-inheritance: -validphys.tests.test\_loader module ------------------------------------ - -.. automodule:: validphys.tests.test_loader - :members: - :undoc-members: - :show-inheritance: -validphys.tests.test\_pdfplots module -------------------------------------- - -.. automodule:: validphys.tests.test_pdfplots - :members: - :undoc-members: - :show-inheritance: -validphys.tests.test\_regressions module ----------------------------------------- - -.. automodule:: validphys.tests.test_regressions - :members: - :undoc-members: - :show-inheritance: -validphys.tests.test\_tableloader module ----------------------------------------- - -.. automodule:: validphys.tests.test_tableloader - :members: - :undoc-members: - :show-inheritance: -validphys.tests.test\_utils module ----------------------------------- - -.. automodule:: validphys.tests.test_utils - :members: - :undoc-members: - :show-inheritance: -validphys.tests.test\_weights module ------------------------------------- - -.. automodule:: validphys.tests.test_weights - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: validphys.tests - :members: - :undoc-members: - :show-inheritance: diff --git a/doc/sphinx/source/usage/modules/validphys.theorycovariance.rst b/doc/sphinx/source/usage/modules/validphys.theorycovariance.rst deleted file mode 100644 index a0f76ac1e0..0000000000 --- a/doc/sphinx/source/usage/modules/validphys.theorycovariance.rst +++ /dev/null @@ -1,43 +0,0 @@ -validphys.theorycovariance package -================================== - -Submodules ----------- - -validphys.theorycovariance.construction module ----------------------------------------------- - -.. automodule:: validphys.theorycovariance.construction - :members: - :undoc-members: - :show-inheritance: -validphys.theorycovariance.output module ----------------------------------------- - -.. automodule:: validphys.theorycovariance.output - :members: - :undoc-members: - :show-inheritance: -validphys.theorycovariance.tests module ---------------------------------------- - -.. automodule:: validphys.theorycovariance.tests - :members: - :undoc-members: - :show-inheritance: -validphys.theorycovariance.theorycovarianceutils module -------------------------------------------------------- - -.. automodule:: validphys.theorycovariance.theorycovarianceutils - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: validphys.theorycovariance - :members: - :undoc-members: - :show-inheritance: From 0a9b1ac6fa72b2ae3c735c41561891b68f7d2360 Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 26 Jun 2019 14:21:31 +0100 Subject: [PATCH 420/429] cleaning branch --- doc/sphinx/source/get-started/header.md | 2 -- 1 file changed, 2 deletions(-) delete mode 100644 doc/sphinx/source/get-started/header.md diff --git a/doc/sphinx/source/get-started/header.md b/doc/sphinx/source/get-started/header.md deleted file mode 100644 index 821b90de54..0000000000 --- a/doc/sphinx/source/get-started/header.md +++ /dev/null @@ -1,2 +0,0 @@ - -# To get started From 64c651f8f940855ec07a5d07dfa9fffe4718bcae Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 26 Jun 2019 14:22:36 +0100 Subject: [PATCH 421/429] tweaking index file --- doc/sphinx/source/index.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/sphinx/source/index.rst b/doc/sphinx/source/index.rst index e42199da2b..d74c4f4b4a 100644 --- a/doc/sphinx/source/index.rst +++ b/doc/sphinx/source/index.rst @@ -1,7 +1,7 @@ .. NNPDF documentation master file, created by sphinx-quickstart on Mon Oct 29 10:53:50 2018. You can adapt this file completely to your liking, but it should at least - contain the root `toctree` directive. get-started/header + contain the root `toctree` directive. NNPDF documentation =================== From 92ddd412a12ffbe8c9f99fe927d9aeb46c41f8a1 Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 26 Jun 2019 15:04:46 +0100 Subject: [PATCH 422/429] adding new index --- doc/sphinx/source/get-started/index.rst | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 doc/sphinx/source/get-started/index.rst diff --git a/doc/sphinx/source/get-started/index.rst b/doc/sphinx/source/get-started/index.rst new file mode 100644 index 0000000000..585e687067 --- /dev/null +++ b/doc/sphinx/source/get-started/index.rst @@ -0,0 +1,13 @@ +.. NNPDF documentation master file, created by + sphinx-quickstart on Mon Oct 29 10:53:50 2018. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. get-started/header + +Getting Started +=============== + +.. toctree:: + :maxdepth: 1 + + ./installation + ./installation-source From 59884087aa1fbc923e196b72e54cd1ce8dca82e0 Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 26 Jun 2019 15:09:32 +0100 Subject: [PATCH 423/429] correcting module structure --- doc/sphinx/.gitignore | 2 +- doc/sphinx/Makefile | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/sphinx/.gitignore b/doc/sphinx/.gitignore index 66c4fab592..eed9831d94 100644 --- a/doc/sphinx/.gitignore +++ b/doc/sphinx/.gitignore @@ -1,2 +1,2 @@ # Ignore auto generated module references -./source/usage/modules +./source/modules diff --git a/doc/sphinx/Makefile b/doc/sphinx/Makefile index b63e007d0c..2ece6ebc7d 100644 --- a/doc/sphinx/Makefile +++ b/doc/sphinx/Makefile @@ -17,6 +17,6 @@ help: # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @if test $@ != "clean"; then \ - sphinx-apidoc -o ./source/usage/modules ../../validphys2/src/validphys/ ; \ + sphinx-apidoc -o ./source/modules/validphys ../../validphys2/src/validphys/ ; \ fi @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) From 0a14814bb9f4bd1a98db062bcf2d74aad9eee1fb Mon Sep 17 00:00:00 2001 From: Shayan Iranipour Date: Wed, 26 Jun 2019 15:16:37 +0100 Subject: [PATCH 424/429] fixing path append --- doc/sphinx/source/conf.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/doc/sphinx/source/conf.py b/doc/sphinx/source/conf.py index 50721aa1b4..859252df74 100644 --- a/doc/sphinx/source/conf.py +++ b/doc/sphinx/source/conf.py @@ -12,9 +12,7 @@ # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # -import sys - -sys.path.insert(0, "~/nnpdfgit/nnpdf/validphys2/src/validphys") +# import sys # -- Project information ----------------------------------------------------- From d5c3ee4bd4a142f21379dabaf67aabe16f2affca Mon Sep 17 00:00:00 2001 From: juacrumar Date: Wed, 26 Jun 2019 16:18:48 +0200 Subject: [PATCH 425/429] added n3fit documentation to the nnpdf documentation folder --- doc/sphinx/Makefile | 1 + doc/sphinx/source/conf.py | 9 ++- n3fit/doc/Makefile | 20 ----- n3fit/doc/conf.py | 77 ------------------- n3fit/doc/index.rst | 21 ----- n3fit/doc/make.bat | 35 --------- n3fit/doc/n3fit.ModelTrainer.rst | 7 -- n3fit/doc/n3fit.Statistics.rst | 7 -- ...n3fit.backends.keras_backend.MetaLayer.rst | 7 -- ...n3fit.backends.keras_backend.MetaModel.rst | 7 -- ...fit.backends.keras_backend.base_layers.rst | 7 -- ...3fit.backends.keras_backend.debug_mode.rst | 7 -- .../n3fit.backends.keras_backend.losses.rst | 7 -- ...3fit.backends.keras_backend.operations.rst | 7 -- n3fit/doc/n3fit.backends.keras_backend.rst | 22 ------ n3fit/doc/n3fit.backends.rst | 17 ---- n3fit/doc/n3fit.constraints.rst | 7 -- n3fit/doc/n3fit.fit.rst | 7 -- ...3fit.hyper_optimization.HyperAlgorithm.rst | 7 -- .../n3fit.hyper_optimization.HyperScanner.rst | 7 -- ...3fit.hyper_optimization.create_testset.rst | 7 -- .../n3fit.hyper_optimization.filetrials.rst | 7 -- .../doc/n3fit.hyper_optimization.plotting.rst | 7 -- n3fit/doc/n3fit.hyper_optimization.rst | 21 ----- n3fit/doc/n3fit.io.reader.rst | 7 -- n3fit/doc/n3fit.io.rst | 18 ----- n3fit/doc/n3fit.io.writer.rst | 7 -- n3fit/doc/n3fit.layers.DIS.rst | 7 -- n3fit/doc/n3fit.layers.DY.rst | 7 -- n3fit/doc/n3fit.layers.Integration.rst | 7 -- n3fit/doc/n3fit.layers.Mask.rst | 7 -- n3fit/doc/n3fit.layers.Observable.rst | 7 -- n3fit/doc/n3fit.layers.Preprocessing.rst | 7 -- n3fit/doc/n3fit.layers.rst | 22 ------ n3fit/doc/n3fit.model_gen.rst | 7 -- n3fit/doc/n3fit.n3fit.rst | 7 -- n3fit/doc/n3fit.rst | 32 -------- 37 files changed, 6 insertions(+), 464 deletions(-) delete mode 100644 n3fit/doc/Makefile delete mode 100644 n3fit/doc/conf.py delete mode 100644 n3fit/doc/index.rst delete mode 100644 n3fit/doc/make.bat delete mode 100644 n3fit/doc/n3fit.ModelTrainer.rst delete mode 100644 n3fit/doc/n3fit.Statistics.rst delete mode 100644 n3fit/doc/n3fit.backends.keras_backend.MetaLayer.rst delete mode 100644 n3fit/doc/n3fit.backends.keras_backend.MetaModel.rst delete mode 100644 n3fit/doc/n3fit.backends.keras_backend.base_layers.rst delete mode 100644 n3fit/doc/n3fit.backends.keras_backend.debug_mode.rst delete mode 100644 n3fit/doc/n3fit.backends.keras_backend.losses.rst delete mode 100644 n3fit/doc/n3fit.backends.keras_backend.operations.rst delete mode 100644 n3fit/doc/n3fit.backends.keras_backend.rst delete mode 100644 n3fit/doc/n3fit.backends.rst delete mode 100644 n3fit/doc/n3fit.constraints.rst delete mode 100644 n3fit/doc/n3fit.fit.rst delete mode 100644 n3fit/doc/n3fit.hyper_optimization.HyperAlgorithm.rst delete mode 100644 n3fit/doc/n3fit.hyper_optimization.HyperScanner.rst delete mode 100644 n3fit/doc/n3fit.hyper_optimization.create_testset.rst delete mode 100644 n3fit/doc/n3fit.hyper_optimization.filetrials.rst delete mode 100644 n3fit/doc/n3fit.hyper_optimization.plotting.rst delete mode 100644 n3fit/doc/n3fit.hyper_optimization.rst delete mode 100644 n3fit/doc/n3fit.io.reader.rst delete mode 100644 n3fit/doc/n3fit.io.rst delete mode 100644 n3fit/doc/n3fit.io.writer.rst delete mode 100644 n3fit/doc/n3fit.layers.DIS.rst delete mode 100644 n3fit/doc/n3fit.layers.DY.rst delete mode 100644 n3fit/doc/n3fit.layers.Integration.rst delete mode 100644 n3fit/doc/n3fit.layers.Mask.rst delete mode 100644 n3fit/doc/n3fit.layers.Observable.rst delete mode 100644 n3fit/doc/n3fit.layers.Preprocessing.rst delete mode 100644 n3fit/doc/n3fit.layers.rst delete mode 100644 n3fit/doc/n3fit.model_gen.rst delete mode 100644 n3fit/doc/n3fit.n3fit.rst delete mode 100644 n3fit/doc/n3fit.rst diff --git a/doc/sphinx/Makefile b/doc/sphinx/Makefile index 2ece6ebc7d..b93b26ca97 100644 --- a/doc/sphinx/Makefile +++ b/doc/sphinx/Makefile @@ -18,5 +18,6 @@ help: %: Makefile @if test $@ != "clean"; then \ sphinx-apidoc -o ./source/modules/validphys ../../validphys2/src/validphys/ ; \ + sphinx-apidoc -o ./source/modules/n3fit ../../n3fit/n3fit ; \ fi @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/doc/sphinx/source/conf.py b/doc/sphinx/source/conf.py index 50721aa1b4..b3ba09624f 100644 --- a/doc/sphinx/source/conf.py +++ b/doc/sphinx/source/conf.py @@ -11,10 +11,11 @@ # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. -# -import sys - -sys.path.insert(0, "~/nnpdfgit/nnpdf/validphys2/src/validphys") +# # +# import sys +# +# sys.path.insert(0, "../../validphys2/src/validphys") +# sys.path.insert(0, "../../n3fit/n3fit/") # -- Project information ----------------------------------------------------- diff --git a/n3fit/doc/Makefile b/n3fit/doc/Makefile deleted file mode 100644 index d4bb2cbb9e..0000000000 --- a/n3fit/doc/Makefile +++ /dev/null @@ -1,20 +0,0 @@ -# Minimal makefile for Sphinx documentation -# - -# You can set these variables from the command line, and also -# from the environment for the first two. -SPHINXOPTS ?= -SPHINXBUILD ?= sphinx-build -SOURCEDIR = . -BUILDDIR = _build - -# Put it first so that "make" without argument is like "make help". -help: - @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) - -.PHONY: help Makefile - -# Catch-all target: route all unknown targets to Sphinx using the new -# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). -%: Makefile - @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/n3fit/doc/conf.py b/n3fit/doc/conf.py deleted file mode 100644 index 655101669b..0000000000 --- a/n3fit/doc/conf.py +++ /dev/null @@ -1,77 +0,0 @@ -# Configuration file for the Sphinx documentation builder. -# -# This file only contains a selection of the most common options. For a full -# list see the documentation: -# http://www.sphinx-doc.org/en/master/config - -# -- Path setup -------------------------------------------------------------- - -# If extensions (or modules to document with autodoc) are in another directory, -# add these directories to sys.path here. If the directory is relative to the -# documentation root, use os.path.abspath to make it absolute, like shown here. -# -# import os -# import sys -# sys.path.insert(0, '/home/jumax9/Workspace/HabitacionDelTiempo/SetupTools/gradients/src/n3fit') - - -# -- Project information ----------------------------------------------------- - -project = 'n3fit' -copyright = '2019, JCM' -author = 'JCM' - - -# -- General configuration --------------------------------------------------- -autodoc_member_order = 'bysource' -autodoc_default_flags = ['members', 'private-members', 'show-inheritance'] - -# Add any Sphinx extension module names here, as strings. They can be -# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom -# ones. -extensions = [ - 'sphinx.ext.autodoc', - 'sphinx.ext.viewcode', - 'sphinx.ext.todo', - 'sphinx.ext.intersphinx', - 'sphinx.ext.mathjax', - 'sphinx.ext.githubpages', -] - - - -# Add any paths that contain templates here, relative to this directory. -templates_path = ['_templates'] - -# The language for content autogenerated by Sphinx. Refer to documentation -# for a list of supported languages. -# -# This is also used if you do content translation via gettext catalogs. -# Usually you set "language" from the command line for these cases. -language = 'en' - -# List of patterns, relative to source directory, that match files and -# directories to ignore when looking for source files. -# This pattern also affects html_static_path and html_extra_path. -exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] - - -# -- Options for HTML output ------------------------------------------------- - -# The theme to use for HTML and HTML Help pages. See the documentation for -# a list of builtin themes. -# -html_theme = 'sphinxdoc' - -# Add any paths that contain custom static files (such as style sheets) here, -# relative to this directory. They are copied after the builtin static files, -# so a file named "default.css" will overwrite the builtin "default.css". -html_static_path = ['_static'] - - -# -- Extension configuration ------------------------------------------------- - -# -- Options for todo extension ---------------------------------------------- - -# If true, `todo` and `todoList` produce output, else they produce nothing. -todo_include_todos = True diff --git a/n3fit/doc/index.rst b/n3fit/doc/index.rst deleted file mode 100644 index 6ea589f5d7..0000000000 --- a/n3fit/doc/index.rst +++ /dev/null @@ -1,21 +0,0 @@ -.. n3fit documentation master file, created by - sphinx-quickstart on Fri Jun 21 12:49:31 2019. - You can adapt this file completely to your liking, but it should at least - contain the root `toctree` directive. - -Welcome to n3fit's documentation! -================================= - -.. toctree:: - :maxdepth: 4 - :caption: Contents: - - n3fit - - -Indices and tables -================== - -* :ref:`genindex` -* :ref:`modindex` -* :ref:`search` diff --git a/n3fit/doc/make.bat b/n3fit/doc/make.bat deleted file mode 100644 index 922152e96a..0000000000 --- a/n3fit/doc/make.bat +++ /dev/null @@ -1,35 +0,0 @@ -@ECHO OFF - -pushd %~dp0 - -REM Command file for Sphinx documentation - -if "%SPHINXBUILD%" == "" ( - set SPHINXBUILD=sphinx-build -) -set SOURCEDIR=. -set BUILDDIR=_build - -if "%1" == "" goto help - -%SPHINXBUILD% >NUL 2>NUL -if errorlevel 9009 ( - echo. - echo.The 'sphinx-build' command was not found. Make sure you have Sphinx - echo.installed, then set the SPHINXBUILD environment variable to point - echo.to the full path of the 'sphinx-build' executable. Alternatively you - echo.may add the Sphinx directory to PATH. - echo. - echo.If you don't have Sphinx installed, grab it from - echo.http://sphinx-doc.org/ - exit /b 1 -) - -%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% -goto end - -:help -%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% - -:end -popd diff --git a/n3fit/doc/n3fit.ModelTrainer.rst b/n3fit/doc/n3fit.ModelTrainer.rst deleted file mode 100644 index 1555f00adb..0000000000 --- a/n3fit/doc/n3fit.ModelTrainer.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.ModelTrainer module -========================= - -.. automodule:: n3fit.ModelTrainer - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.Statistics.rst b/n3fit/doc/n3fit.Statistics.rst deleted file mode 100644 index 07dd9297e8..0000000000 --- a/n3fit/doc/n3fit.Statistics.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.Statistics module -======================= - -.. automodule:: n3fit.Statistics - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.backends.keras_backend.MetaLayer.rst b/n3fit/doc/n3fit.backends.keras_backend.MetaLayer.rst deleted file mode 100644 index 14a60086da..0000000000 --- a/n3fit/doc/n3fit.backends.keras_backend.MetaLayer.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.backends.keras\_backend.MetaLayer module -============================================== - -.. automodule:: n3fit.backends.keras_backend.MetaLayer - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.backends.keras_backend.MetaModel.rst b/n3fit/doc/n3fit.backends.keras_backend.MetaModel.rst deleted file mode 100644 index dd3096ef53..0000000000 --- a/n3fit/doc/n3fit.backends.keras_backend.MetaModel.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.backends.keras\_backend.MetaModel module -============================================== - -.. automodule:: n3fit.backends.keras_backend.MetaModel - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.backends.keras_backend.base_layers.rst b/n3fit/doc/n3fit.backends.keras_backend.base_layers.rst deleted file mode 100644 index a221f13aa5..0000000000 --- a/n3fit/doc/n3fit.backends.keras_backend.base_layers.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.backends.keras\_backend.base\_layers module -================================================= - -.. automodule:: n3fit.backends.keras_backend.base_layers - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.backends.keras_backend.debug_mode.rst b/n3fit/doc/n3fit.backends.keras_backend.debug_mode.rst deleted file mode 100644 index 377a1a9326..0000000000 --- a/n3fit/doc/n3fit.backends.keras_backend.debug_mode.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.backends.keras\_backend.debug\_mode module -================================================ - -.. automodule:: n3fit.backends.keras_backend.debug_mode - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.backends.keras_backend.losses.rst b/n3fit/doc/n3fit.backends.keras_backend.losses.rst deleted file mode 100644 index 82013fb1c5..0000000000 --- a/n3fit/doc/n3fit.backends.keras_backend.losses.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.backends.keras\_backend.losses module -=========================================== - -.. automodule:: n3fit.backends.keras_backend.losses - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.backends.keras_backend.operations.rst b/n3fit/doc/n3fit.backends.keras_backend.operations.rst deleted file mode 100644 index ce7b4bd08c..0000000000 --- a/n3fit/doc/n3fit.backends.keras_backend.operations.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.backends.keras\_backend.operations module -=============================================== - -.. automodule:: n3fit.backends.keras_backend.operations - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.backends.keras_backend.rst b/n3fit/doc/n3fit.backends.keras_backend.rst deleted file mode 100644 index 6f6493b8a3..0000000000 --- a/n3fit/doc/n3fit.backends.keras_backend.rst +++ /dev/null @@ -1,22 +0,0 @@ -n3fit.backends.keras\_backend package -===================================== - -Submodules ----------- - -.. toctree:: - - n3fit.backends.keras_backend.MetaLayer - n3fit.backends.keras_backend.MetaModel - n3fit.backends.keras_backend.base_layers - n3fit.backends.keras_backend.debug_mode - n3fit.backends.keras_backend.losses - n3fit.backends.keras_backend.operations - -Module contents ---------------- - -.. automodule:: n3fit.backends.keras_backend - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.backends.rst b/n3fit/doc/n3fit.backends.rst deleted file mode 100644 index 7caa216410..0000000000 --- a/n3fit/doc/n3fit.backends.rst +++ /dev/null @@ -1,17 +0,0 @@ -n3fit.backends package -====================== - -Subpackages ------------ - -.. toctree:: - - n3fit.backends.keras_backend - -Module contents ---------------- - -.. automodule:: n3fit.backends - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.constraints.rst b/n3fit/doc/n3fit.constraints.rst deleted file mode 100644 index a8f852dbb1..0000000000 --- a/n3fit/doc/n3fit.constraints.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.constraints module -======================== - -.. automodule:: n3fit.constraints - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.fit.rst b/n3fit/doc/n3fit.fit.rst deleted file mode 100644 index e0d86d6adc..0000000000 --- a/n3fit/doc/n3fit.fit.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.fit module -================ - -.. automodule:: n3fit.fit - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.hyper_optimization.HyperAlgorithm.rst b/n3fit/doc/n3fit.hyper_optimization.HyperAlgorithm.rst deleted file mode 100644 index 417e34bee2..0000000000 --- a/n3fit/doc/n3fit.hyper_optimization.HyperAlgorithm.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.hyper\_optimization.HyperAlgorithm module -=============================================== - -.. automodule:: n3fit.hyper_optimization.HyperAlgorithm - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.hyper_optimization.HyperScanner.rst b/n3fit/doc/n3fit.hyper_optimization.HyperScanner.rst deleted file mode 100644 index d5bcd55769..0000000000 --- a/n3fit/doc/n3fit.hyper_optimization.HyperScanner.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.hyper\_optimization.HyperScanner module -============================================= - -.. automodule:: n3fit.hyper_optimization.HyperScanner - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.hyper_optimization.create_testset.rst b/n3fit/doc/n3fit.hyper_optimization.create_testset.rst deleted file mode 100644 index f318f1b6f3..0000000000 --- a/n3fit/doc/n3fit.hyper_optimization.create_testset.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.hyper\_optimization.create\_testset module -================================================ - -.. automodule:: n3fit.hyper_optimization.create_testset - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.hyper_optimization.filetrials.rst b/n3fit/doc/n3fit.hyper_optimization.filetrials.rst deleted file mode 100644 index fa15b0342c..0000000000 --- a/n3fit/doc/n3fit.hyper_optimization.filetrials.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.hyper\_optimization.filetrials module -=========================================== - -.. automodule:: n3fit.hyper_optimization.filetrials - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.hyper_optimization.plotting.rst b/n3fit/doc/n3fit.hyper_optimization.plotting.rst deleted file mode 100644 index 035fc75844..0000000000 --- a/n3fit/doc/n3fit.hyper_optimization.plotting.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.hyper\_optimization.plotting module -========================================= - -.. automodule:: n3fit.hyper_optimization.plotting - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.hyper_optimization.rst b/n3fit/doc/n3fit.hyper_optimization.rst deleted file mode 100644 index 11c8dbdd5c..0000000000 --- a/n3fit/doc/n3fit.hyper_optimization.rst +++ /dev/null @@ -1,21 +0,0 @@ -n3fit.hyper\_optimization package -================================= - -Submodules ----------- - -.. toctree:: - - n3fit.hyper_optimization.HyperAlgorithm - n3fit.hyper_optimization.HyperScanner - n3fit.hyper_optimization.create_testset - n3fit.hyper_optimization.filetrials - n3fit.hyper_optimization.plotting - -Module contents ---------------- - -.. automodule:: n3fit.hyper_optimization - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.io.reader.rst b/n3fit/doc/n3fit.io.reader.rst deleted file mode 100644 index 0959f48d9a..0000000000 --- a/n3fit/doc/n3fit.io.reader.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.io.reader module -====================== - -.. automodule:: n3fit.io.reader - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.io.rst b/n3fit/doc/n3fit.io.rst deleted file mode 100644 index 52067f22e8..0000000000 --- a/n3fit/doc/n3fit.io.rst +++ /dev/null @@ -1,18 +0,0 @@ -n3fit.io package -================ - -Submodules ----------- - -.. toctree:: - - n3fit.io.reader - n3fit.io.writer - -Module contents ---------------- - -.. automodule:: n3fit.io - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.io.writer.rst b/n3fit/doc/n3fit.io.writer.rst deleted file mode 100644 index 42dbcf326b..0000000000 --- a/n3fit/doc/n3fit.io.writer.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.io.writer module -====================== - -.. automodule:: n3fit.io.writer - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.layers.DIS.rst b/n3fit/doc/n3fit.layers.DIS.rst deleted file mode 100644 index 94be9c314e..0000000000 --- a/n3fit/doc/n3fit.layers.DIS.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.layers.DIS module -======================= - -.. automodule:: n3fit.layers.DIS - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.layers.DY.rst b/n3fit/doc/n3fit.layers.DY.rst deleted file mode 100644 index 850909aa5c..0000000000 --- a/n3fit/doc/n3fit.layers.DY.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.layers.DY module -====================== - -.. automodule:: n3fit.layers.DY - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.layers.Integration.rst b/n3fit/doc/n3fit.layers.Integration.rst deleted file mode 100644 index 59bf9e9268..0000000000 --- a/n3fit/doc/n3fit.layers.Integration.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.layers.Integration module -=============================== - -.. automodule:: n3fit.layers.Integration - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.layers.Mask.rst b/n3fit/doc/n3fit.layers.Mask.rst deleted file mode 100644 index 16b4e54b55..0000000000 --- a/n3fit/doc/n3fit.layers.Mask.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.layers.Mask module -======================== - -.. automodule:: n3fit.layers.Mask - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.layers.Observable.rst b/n3fit/doc/n3fit.layers.Observable.rst deleted file mode 100644 index 7e0408e77a..0000000000 --- a/n3fit/doc/n3fit.layers.Observable.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.layers.Observable module -============================== - -.. automodule:: n3fit.layers.Observable - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.layers.Preprocessing.rst b/n3fit/doc/n3fit.layers.Preprocessing.rst deleted file mode 100644 index 4d480ae374..0000000000 --- a/n3fit/doc/n3fit.layers.Preprocessing.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.layers.Preprocessing module -================================= - -.. automodule:: n3fit.layers.Preprocessing - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.layers.rst b/n3fit/doc/n3fit.layers.rst deleted file mode 100644 index 8f99298cfb..0000000000 --- a/n3fit/doc/n3fit.layers.rst +++ /dev/null @@ -1,22 +0,0 @@ -n3fit.layers package -==================== - -Submodules ----------- - -.. toctree:: - - n3fit.layers.DIS - n3fit.layers.DY - n3fit.layers.Integration - n3fit.layers.Mask - n3fit.layers.Observable - n3fit.layers.Preprocessing - -Module contents ---------------- - -.. automodule:: n3fit.layers - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.model_gen.rst b/n3fit/doc/n3fit.model_gen.rst deleted file mode 100644 index 01e0704ff8..0000000000 --- a/n3fit/doc/n3fit.model_gen.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.model\_gen module -======================= - -.. automodule:: n3fit.model_gen - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.n3fit.rst b/n3fit/doc/n3fit.n3fit.rst deleted file mode 100644 index b0fd2c52e9..0000000000 --- a/n3fit/doc/n3fit.n3fit.rst +++ /dev/null @@ -1,7 +0,0 @@ -n3fit.n3fit module -================== - -.. automodule:: n3fit.n3fit - :members: - :undoc-members: - :show-inheritance: diff --git a/n3fit/doc/n3fit.rst b/n3fit/doc/n3fit.rst deleted file mode 100644 index 922d93aec1..0000000000 --- a/n3fit/doc/n3fit.rst +++ /dev/null @@ -1,32 +0,0 @@ -n3fit package -============= - -Subpackages ------------ - -.. toctree:: - - n3fit.backends - n3fit.hyper_optimization - n3fit.io - n3fit.layers - -Submodules ----------- - -.. toctree:: - - n3fit.ModelTrainer - n3fit.Statistics - n3fit.constraints - n3fit.fit - n3fit.model_gen - n3fit.n3fit - -Module contents ---------------- - -.. automodule:: n3fit - :members: - :undoc-members: - :show-inheritance: From a6edc21c5d6cfd5e220e01eb26a4be4a5a7b4254 Mon Sep 17 00:00:00 2001 From: Rosalyn Date: Wed, 26 Jun 2019 15:25:12 +0100 Subject: [PATCH 426/429] adding index.rst for vp --- doc/sphinx/source/index.rst | 2 +- doc/sphinx/source/vp/index.rst | 13 + doc/sphinx/source/vp/theorycov.rst | 424 +++++++++++++++++++++++++++++ 3 files changed, 438 insertions(+), 1 deletion(-) create mode 100644 doc/sphinx/source/vp/index.rst create mode 100644 doc/sphinx/source/vp/theorycov.rst diff --git a/doc/sphinx/source/index.rst b/doc/sphinx/source/index.rst index d74c4f4b4a..937e213125 100644 --- a/doc/sphinx/source/index.rst +++ b/doc/sphinx/source/index.rst @@ -10,7 +10,7 @@ NNPDF documentation :maxdepth: 2 get-started/index - + vp/index Indices and tables ================== diff --git a/doc/sphinx/source/vp/index.rst b/doc/sphinx/source/vp/index.rst new file mode 100644 index 0000000000..ae88703cec --- /dev/null +++ b/doc/sphinx/source/vp/index.rst @@ -0,0 +1,13 @@ +.. NNPDF documentation master file, created by + sphinx-quickstart on Mon Oct 29 10:53:50 2018. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. get-started/header + +Getting Started +=============== + +.. toctree:: + :maxdepth: 1 + + ./api.md + ./theorycov.rst diff --git a/doc/sphinx/source/vp/theorycov.rst b/doc/sphinx/source/vp/theorycov.rst new file mode 100644 index 0000000000..9bf6e1f126 --- /dev/null +++ b/doc/sphinx/source/vp/theorycov.rst @@ -0,0 +1,424 @@ +============================================================ +**Documentation for theory covariance module in validphys2** +============================================================ + +:Author: Rosalyn Pearson + +.. raw:: latex + + \maketitle + +.. raw:: latex + + \tableofcontents + +Summary +======= + +- The module of ``validphys2`` which deals with computation and + interpretation of theoretical covariance matrices can be found in + ``nnpdf/validphys2/src/validphys/theorycovariance/``, which consists + of three files: + + #. ``construction.py``: deals with construction of covariance + matrices and associated quantities + + #. ``output.py``: plots and tables + + #. ``tests.py``: actions for testing the covariance matrices against + the NNLO-NLO shift + +- Theoretical covariance matrices are built according to the + prescriptions found in Richard’s notes. + +- As input you need theories at the relevant scale combinations which + correspond to the prescription. + +- These must be ordered in a specific way in the runcard. + +- The prescription is chosen based on the number of input theories, + which must be one of :math:`\{3,5,7,9\}`. + +- In the case of 5 theories, you must further specify whether the 5 or + :math:`\bar{5}` prescription is required. You can do this by + allocating the flag ``fivetheories`` to ``nobar`` or ``bar`` in the + runcard. + +- Currently the renormalisation scales are correlated within each + process type. These process types are categorised as {DIS CC, DIS NC, + Drell-Yan, Jets, Top}. However, this needs future consideration - if + we add more experiments we need to be careful which process type they + are allocated as. + +- Outputs include tables and heat plots of theoretical and combined + (theoretical + experimental) covariance matrices, comparisons of + theoretical and experimental errors, and plots and tables of + :math:`\chi^2` values. + +Important information about runcard layout +========================================== + +Below is an example runcard (template in the next section) to calculate +the theoretical covariance matrix for 9-point variations at NLO and +display a range of outputs. + +- **IMPORTANT:** In runcards, theories must be listed according to + points :math:`(\mu_0, \mu_i)` in the following order: :math:`(0,0)`, + :math:`(+,0)`, :math:`(-,0)`, :math:`(0,+)`, :math:`(0,-)`, + :math:`(+,+)`, :math:`(-,-)`, :math:`(+,-)`, :math:`(-,+)`. Here "+" + refers to doubled scale, "-" to halved scale and "0" to central + scale. + +- In terms of ``theoryids``, at NLO this corresponds to: 163, 177, 176, + 179, 174, 180, 173, 175, 178. This ensures that the prescriptions + will be implemented correctly. The ``theoryids`` to input for each + prescription are listed explicitly in the section on point + prescriptions below. If an incorrect configuration of ``theoryids`` + is given, you should receive an error message. + +- The flag ``fivetheories`` specifies the choice of 5 or + :math:`\bar{5}` prescription for the case of 5 input theories. You + must assign a value ``nobar`` or ``bar`` correspondingly. If you do + not do this, ``validphys`` will give an error. + +- As a fit you must provide the fit for central scales at the relevant + order. + +- When calculating at NNLO, you must also provide c-factors. + +- Experiments will appear in tables and plots in the order they are + listed in the runcard. + +Outputs +======= + +Below is the template corresponding to the runcard in the previous +section. This will produce a report with the important features of the +theory covariance module. These fall into three broad categories: + +#. **Matrices and plots of matrices**. Heatmap plots, diagonal element + plots comparing experimental and theoretical errors. + +#. **:math:`\chi^2` values**. Total :math:`\chi^2`\ s and per dataset + and per experiment. Bar chart comparing before and after adding + theory errors for the per dataset case. + +#. **Scale variations as a function of kinematics.** Plots of the + theoretical predictions for each data point for the different scale + choices. + +Point prescriptions for theory covariance matrices +================================================== + +The equations below display the different point prescriptions, as they +appear in ``validphys2``. + +3 points +-------- + +theoryids: 163, 180, 173 + +.. math:: s_{11} = \frac{1}{2}\bigg\{ \Delta_1(+,+)^2 + \Delta_1(-,-)^2 \bigg\} + +.. math:: s_{12} = \frac{1}{4}\bigg\{\bigg(\Delta_1(+,+) + \Delta_1(-,-) \bigg) \bigg(\Delta_2(+,+) + \Delta_2(-,-) \bigg) \bigg\} + +.. _points-1: + + 5 points +--------- + +theoryids: 163, 177, 176, 179, 174 + +.. math:: s_{11} = \frac{1}{2}\bigg\{ \Delta_1(+,0)^2 + \Delta_1(-,0)^2 + \Delta_1(0,+)^2 + \Delta_1(0,-)^2 \bigg\} + +.. math:: + + \begin{split} + s_{12} = \frac{1}{2}\bigg\{ &\Delta_1(+,0)\Delta_2(+,0) + \Delta_1(-,0)\Delta_2(-,0) \bigg\} \\ + + \frac{1}{4}\bigg\{ &\bigg(\Delta_1(0,+) + \Delta_1(0,-) \bigg)\bigg(\Delta_2(0,+) + \Delta_2(0,-)\bigg)\bigg\} + \end{split} + +:math:`\mathbf{\overline{5}}` points +------------------------------------ + +theoryids: 163, 180, 173, 175, 178 + +.. math:: s_{11} = \frac{1}{2}\bigg\{ \Delta_1(+,+)^2 + \Delta_1(-,-)^2 + \Delta_1(+,-)^2 + \Delta_1(-,+)^2 \bigg\} + +.. math:: + + \begin{split} + s_{12} = \frac{1}{4}\bigg\{ &\bigg(\Delta_1(+,+) + \Delta_1(+,-)\bigg) \bigg(\Delta_2(+,+) + \Delta_2(+,-) \bigg) \\ + + &\bigg(\Delta_1(-,+) + \Delta_1(-,-)\bigg) \bigg(\Delta_2(-,+) + \Delta_2(-,-) \bigg) \bigg\} + \end{split} + +7 points - original +------------------- + +| Specify in the runcard ``seventheories: original`` +| theoryids: 163, 177, 176, 179, 174, 180, 173 + + .. math:: + + \begin{split} + s_{11} = \frac{1}{3}\bigg\{ &\Delta_1(+,0)^2 + \Delta_1(-,0)^2 + \Delta_1(0,+)^2 + \Delta_1(0,-)^2 \\ + &\Delta_1(+,+)^2 + \Delta_1(-,-)^2 \bigg\} + \end{split} + +.. math:: + + \begin{split} + s_{12} = \frac{1}{6}\bigg\{ &\bigg(\Delta_1(+,0) + \Delta_1(+,+) \bigg) \bigg(\Delta_2(+,0) + \Delta_2(+,+) \bigg) \\ + + &\bigg(\Delta_1(-,0)+\Delta_1(-,-)\bigg) \bigg(\Delta_2(-,0) + \Delta_2(-,-) \bigg) \\ + + &\bigg(\Delta_1(0,+)+\Delta_1(0,-)\bigg)\bigg(\Delta_2(0,+) + \Delta_2(0,-) \bigg)\bigg\} + \end{split} + +7 points - Gavin (default) +-------------------------- + +theoryids: 163, 177, 176, 179, 174, 180, 173 + +.. math:: + + \begin{split} + s_{11} = \frac{1}{3}\bigg\{ &\Delta_1(+,0)^2 + \Delta_1(-,0)^2 + \Delta_1(0,+)^2 + \Delta_1(0,-)^2 \\ + &\Delta_1(+,+)^2 + \Delta_1(-,-)^2 \bigg\} + \end{split} + +.. math:: + + \begin{split} + s_{12} = \frac{1}{6}\bigg\{ &2\bigg(\Delta_1(+,0)\Delta_2(+,0) + \Delta_1(-,0)\Delta_2(-,0) \bigg) \\ + + &\bigg(\Delta_1(0,+)+\Delta_1(0,-)\bigg) \bigg(\Delta_2(0,+) + \Delta_2(0,-) \bigg) \\ + + &\bigg(\Delta_1(+,+)+\Delta_1(-,-)\bigg)\bigg(\Delta_2(+,+) + \Delta_2(-,-) \bigg)\bigg\} + \end{split} + +.. _points-2: + +9 points +-------- + +theoryids: 163, 177, 176, 179, 174, 180, 173, 175, 178 + +.. math:: + + \begin{split} + s_{11} = \frac{1}{4}\bigg\{ &\Delta_1(+,0)^2 + \Delta_1(-,0)^2 + + \Delta_1(0,+)^2 + \Delta_1(0,-)^2 \\ + + &\Delta_1(+,+)^2 + \Delta_1(+,-)^2 + + \Delta_1(-,+)^2 + \Delta_1(-,-)^2 \bigg\} + \end{split} + +.. math:: + + \begin{split} + s_{12} = \frac{1}{12}\bigg\{&\bigg(\Delta_1(+,0)+\Delta_1(+,+) + \Delta_1(+,-)\bigg) \bigg(\Delta_2(+,0) + \Delta_2(+,+) + \Delta_2(+,-) \bigg) \\ + + &\bigg(\Delta_1(-,0) + \Delta_1(-,+) + \Delta_1(-,-)\bigg)\bigg(\Delta_2(-,0) + \Delta_2(-,+) + \Delta_2(-,-) \bigg) \bigg\}\\ + + \frac{1}{8}&\bigg(\Delta_1(0,+)+ \Delta_1(0,-)\bigg)\bigg(\Delta_2(0,+) + \Delta_2(0,-) \bigg) + \end{split} + +Tests +===== + +.. _projection: + +Projection onto the subspace of nonzero eigenvalues +--------------------------------------------------- + +**Notation overview:** + +- :math:`D` is the space of data, indexed by + :math:`i,j = 1,...,N_{dat}` + +- :math:`E \in D` is the subspace of non-zero eigenvalues, indexed by + :math:`\alpha, \beta = 1,..., N_{eval}` + +- non-dashed variables are in :math:`D`, dashed variables are in + :math:`E` + +The covariance matrix :math:`S` can be expressed as a sum of outer +products of vectors :math:`X_{\alpha}`, generated by taking the +difference between observables at the central scale and at a given +varied scale: + +.. math:: + + \label{covmat} + S = \sum_{\alpha, \beta} \lambda_{\alpha \beta}X_{\alpha}X_{\beta}^T. + + :math:`S` satisfies the eigenvalue equation :math:`Sv = wv` for +:math:`N_{eval}` non-zero eigenvalues. :math:`E` is spanned by +:math:`\{X_{\alpha}\}`. Generate an orthonormal basis +:math:`\{Y_{\alpha}\}` from :math:`\{X_{\alpha}\}` by the Gram-Schmidt +process: + +.. math:: X_n^\prime = X_n - \sum_{m \leq n} (Y_m.X_n)Y_m, + + normalising to give :math:`Y_n = X^\prime_n/|X^\prime_n|`. Then define + +.. math:: + + P = + \begin{bmatrix} + Y_1 & ... & Y_{N_{eval}} \\ + \downarrow & ... & \downarrow + \end{bmatrix} + + and project :math:`S` into :math:`E` using +:math:`S^\prime_{\alpha \beta} = P^{-1}_{i \alpha} S_{ij} P_{j \beta}`. +Solve to find the eigenvalues :math:`w_{\alpha}` and their corresponding +eigenvectors :math:`v^\prime_{\alpha}`. + +Consider + +.. math:: + + \begin{split} + S v_\alpha &= w_\alpha v_\alpha \\ + PS^\prime P^{-1} v_\alpha &= w_\alpha v_\alpha \\ + P^{-1}PS^\prime P^{-1} v_\alpha &= P^{-1}w_\alpha v_\alpha \\ + S^\prime (P^{-1} v_\alpha) &= w_\alpha (P^{-1}v_\alpha). + \end{split} + + So :math:`v^\prime_\alpha = P^{-1}v_\alpha`, and the eigenvectors in +:math:`D` can be found using + +.. math:: + + \begin{split} + (v_{\alpha})_i &= P_{i \beta}(v^\prime_\alpha)_\beta \\ + &= \sum_\beta (v^\prime_\alpha)_\beta Y_{i\beta}. + \end{split} + +Code implementation +------------------- + +The code for testing theory covariance matrices against the observed +NNLO-NLO shift, :math:`\delta`, is contained in ``tests.py``. In order +to compare these, we need to ensure that cuts are matched between the +NNPDF3.1 theories 52 and 53 (NLO and NNLO respectively), and the +scale-varied theories. + +The action ``evals_nonzero_basis`` takes the matched theory covariance +matrix and projects it from the data space into the basis of non-zero +eigenvalues, dependent on point prescription. It then returns the +eigenvalues and the data-space eigenvectors. These are taken as inputs +by ``theory_shift_test``, which compares them with the NNLO-NLO shift to +assess the missing fraction :math:`\delta_{miss}`, ``fmiss``, of the +shift vector which is not covered by the theory covariance matrix, and +the projections of the shift vector onto each of the eigenvectors +(``projectors``). The various outputs are: + +#. ``theory_covmat_eigenvalues``: returns a table of + :math:`s = \sqrt{eval}`, the projector and the ratio of the two, + ordered by largest eigenvalue + +#. ``efficiency``: returns the efficiency with which the theory + covariance matrix encapsulates the NNLO-NLO shift, + :math:`\epsilon = 1-\frac{\delta_{miss}}{\delta}`. + +#. ``validation_theory_chi2``: returns the theory :math:`\chi^2`, + defined as + :math:`\frac{1}{N_{eval}}\sum_a \bigg(\frac{\delta_a}{s_a}\bigg)^2`. + +#. ``projector_eigenvalue_ratio``: produces a plot of the ratio between + the projectors and the square roots of the corresponding eigenvalues. + +#. ``shift_diag_cov_comparison``: produces a plot of the NLO-NNLO shift + compared to an envelope given by the diagonal elements of the theory + covariance matrix. + +``evals_nonzero_basis`` +~~~~~~~~~~~~~~~~~~~~~~~ + +This section details the way that ``evals_nonzero_basis`` determines the +non-zero eigenvalues and eigenvectors. + +First we construct the differences between the theory results for +shifted scales and for the central scale, ``diffs``. These are ordered +by dataset, so processes are jumbled up. We split these up into a series +of vectors, ``splitdiffs``, of which there are :math:`p` for each of the +``diffs``. They each correspond to the values for one process from one +of the ``diffs``, and zeroes everywhere else, but where the entries are +ordered such that each process occupies a different space in the vector, +and is gathered together. i.e. + +.. math:: + + \Delta(+;+) \to + \begin{pmatrix} + \Delta^1(+;+) \\ + 0 \\ + ...\\ + 0 + \end{pmatrix}, + \begin{pmatrix} + 0 \\ + \Delta^2(+;+) \\ + ... \\ + 0 + \end{pmatrix}, ..., + \begin{pmatrix} + 0 \\ + 0 \\ + ... \\ + \Delta^p(+;+) + \end{pmatrix}, + + where the superscript labels the process number. This allows us to +decorrelate scale variations between different processes. + +The next stage is to use the ``splitdiffs`` to construct the linearly +independent vectors corresponding to each prescription, which are those +detailed in Sec. `5.3 <#vectors>`__. Each of these is implemented in a +separate function called ``vectors_#pt``, where # is the number of +points in the prescription, which is called as appropriate. The next +stage is to orthonormalise these vectors (labelled ``xs``) using the +Gram-Schmidt method to produce ``ys``. The covariance matrix is then +projected into the space of these, and the eigenvalues and eigenvectors +are found. The eigenvectors in the dataspace are then calculated by +rotating back, as detailed in Sec. `5.1 <#projection>`__. + +.. _vectors: + +Linearly independent vectors for each prescription +-------------------------------------------------- + +3 point +~~~~~~~ + +For :math:`(\mu_1, \mu_2, ..., \mu_p)`, where :math:`\mu_0` is +correlated with :math:`\mu_i` variation for each process. +:math:`(+, +, +, ...)` :math:`(-, +, +, ...)` + cyclic :math:`p+1` +vectors + +.. _point-1: + +5 point +~~~~~~~ + +For :math:`(\mu_0; \mu_1, \mu_2, ..., \mu_p)`. +:math:`(\pm; 0, 0, 0, ...)` :math:`(0; +, +, +, ...)` +:math:`(0; -, +, +, ...)` + cyclic :math:`p+3` vectors + +:math:`\bar{5}` point +~~~~~~~~~~~~~~~~~~~~~ + +For :math:`(\mu_0; \mu_1, \mu_2, ..., \mu_p)`. +:math:`(\pm; +, +, +, ...)` :math:`(\pm; -, +, +, ...)` + cyclic +:math:`2p+2` vectors + +.. _point-2: + +7 point +~~~~~~~ + +Combine 3 and 5 point :math:`2p+4` vectors + +.. _point-3: + +9 point +~~~~~~~ + +For :math:`(\mu_0; \mu_1, \mu_2, ..., \mu_p)`. +:math:`(\pm; +, +, +, ...)` :math:`(0; +, +, +, ...)` +:math:`(\pm; -, +, +, ...)` + cyclic :math:`(0; -, +, +, ...)` + cyclic +:math:`(\pm; 0, +, +, ...)` + cyclic :math:`5p+3` vectors From 8c3eda0edda030e3c0431849ba0783ee9cefea5d Mon Sep 17 00:00:00 2001 From: juacrumar Date: Thu, 27 Jun 2019 12:53:39 +0200 Subject: [PATCH 427/429] added cmake instructions for evolve3fit and n3fit --- CMakeLists.txt | 11 +++++++ n3fit/evolven3fit/CMakeLists.txt | 31 ++++++++++++++++++++ n3fit/{n3fit => }/evolven3fit/evolven3fit.cc | 0 n3fit/{n3fit => }/evolven3fit/version.h | 0 n3fit/n3fit/evolven3fit/makefile | 19 ------------ 5 files changed, 42 insertions(+), 19 deletions(-) create mode 100644 n3fit/evolven3fit/CMakeLists.txt rename n3fit/{n3fit => }/evolven3fit/evolven3fit.cc (100%) rename n3fit/{n3fit => }/evolven3fit/version.h (100%) delete mode 100644 n3fit/n3fit/evolven3fit/makefile diff --git a/CMakeLists.txt b/CMakeLists.txt index 686bc87128..d7d689e2b2 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -41,6 +41,7 @@ option(ENABLE_TESTS "Enable unit test" OFF) option(ENABLE_ASAN "Enable ASAN" OFF) option(ENABLE_DEAD_STRIP "Enable use of flag `-dead_strip-dylibs`" OFF) option(VP_DEV "validphys in developer mode" ON) +option(N3_DEV "n3fit in developer mode" ON) set(PROFILE_PREFIX "" CACHE STRING "Where you store the 'data' folder. Default empty uses CMAKE_INSTALL_PREFIX/share/NNPDF.") if (PROFILE_PREFIX) @@ -143,9 +144,19 @@ add_subdirectory(libnnpdf) # nnpdfcpp configuration add_subdirectory(nnpdfcpp) +# evolven3fit +add_subdirectory(n3fit/evolven3fit) + # install validphys2 if(VP_DEV) install(CODE "execute_process(COMMAND ${PYTHON_EXECUTABLE} -m pip install -e ${PROJECT_SOURCE_DIR}/validphys2)") else(VP_DEV) install(CODE "execute_process(COMMAND ${PYTHON_EXECUTABLE} -m pip install --no-deps --ignore-installed ${PROJECT_SOURCE_DIR}/validphys2)") endif(VP_DEV) + +# install n3fit +if(N3_DEV) + install(CODE "execute_process(COMMAND ${PYTHON_EXECUTABLE} -m pip install -e ${PROJECT_SOURCE_DIR}/n3fit)") +else(N3_DEV) + install(CODE "execute_process(COMMAND ${PYTHON_EXECUTABLE} -m pip install --no-deps --ignore-installed ${PROJECT_SOURCE_DIR}/n3fit)") +endif(N3_DEV) diff --git a/n3fit/evolven3fit/CMakeLists.txt b/n3fit/evolven3fit/CMakeLists.txt new file mode 100644 index 0000000000..7aa4688cf0 --- /dev/null +++ b/n3fit/evolven3fit/CMakeLists.txt @@ -0,0 +1,31 @@ +# Include files (should this information not be known at this point?) +include_directories(${PROJECT_SOURCE_DIR}/nnpdfcpp/src/common/inc) +include_directories(${PROJECT_SOURCE_DIR}/nnpdfcpp/src/nnfit/inc) +include_directories(${PROJECT_SOURCE_DIR}/n3fit/evolven3fit) +set(EXECUTABLE_OUTPUT_PATH ${CMAKE_BINARY_DIR}/binaries) + + +# And the whole of libnnpdf +# I am 100% sure there is a better way +# but I care 0% about it atm +set(NNPDF_LDFLAGS "-L${PROJECT_BINARY_DIR}/libnnpdf/ -lnnpdf") + + +# Add files to the make +add_executable(evolven3fit ${PROJECT_SOURCE_DIR}/n3fit/evolven3fit/evolven3fit.cc + ${PROJECT_SOURCE_DIR}/nnpdfcpp/src/common/src/nnpdfsettings.cc + ${PROJECT_SOURCE_DIR}/nnpdfcpp/src/common/src/md5.cc + ${PROJECT_SOURCE_DIR}/nnpdfcpp/src/common/src/exportgrid.cc + ${PROJECT_SOURCE_DIR}/nnpdfcpp/src/nnfit/src/evolgrid.cc ) + + +# Set all flags +set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} ${NNPDF_LDFLAGS} ${LHAPDF_LIBRARIES} ${GSL_LDFLAGS} ${APFEL_LIBRARIES} ${YAML_LDFLAGS}") +# I am pretty sure this should not be a thing +string(REPLACE ";" " " CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS}") + + +install(TARGETS evolven3fit DESTINATION bin + PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE GROUP_READ +GROUP_EXECUTE WORLD_READ WORLD_EXECUTE) + diff --git a/n3fit/n3fit/evolven3fit/evolven3fit.cc b/n3fit/evolven3fit/evolven3fit.cc similarity index 100% rename from n3fit/n3fit/evolven3fit/evolven3fit.cc rename to n3fit/evolven3fit/evolven3fit.cc diff --git a/n3fit/n3fit/evolven3fit/version.h b/n3fit/evolven3fit/version.h similarity index 100% rename from n3fit/n3fit/evolven3fit/version.h rename to n3fit/evolven3fit/version.h diff --git a/n3fit/n3fit/evolven3fit/makefile b/n3fit/n3fit/evolven3fit/makefile deleted file mode 100644 index da84de5d3c..0000000000 --- a/n3fit/n3fit/evolven3fit/makefile +++ /dev/null @@ -1,19 +0,0 @@ -## Simple and stupid makefile - -NNPDFSRC=../../../ -INCLUDES=`pkg-config nnpdf --cflags` `pkg-config gsl --cflags` `apfel-config --cxxflags` `pkg-config yaml-cpp --cflags` -LIBS=`pkg-config nnpdf --libs` `pkg-config gsl --libs` `apfel-config --ldflags` `pkg-config yaml-cpp --libs` - -all: evolven3fit - -evolven3fit: evolven3fit.cc - $(CXX) -I./ -I$(NNPDFSRC)/nnpdfcpp/src/nnfit/inc \ - $(INCLUDES) -I$(NNPDFSRC)/nnpdfcpp/src/common/inc \ - $(NNPDFSRC)/nnpdfcpp/src/common/src/nnpdfsettings.cc \ - $(NNPDFSRC)/nnpdfcpp/src/common/src/md5.cc \ - $(NNPDFSRC)/nnpdfcpp/src/common/src/exportgrid.cc \ - $(NNPDFSRC)/nnpdfcpp/src/nnfit/src/evolgrid.cc \ - $< -o $@ $(LIBS) - -clean: - rm -rf evolven3fit From b117a556303d535ce5ba101d6f5f0e9e1e210c40 Mon Sep 17 00:00:00 2001 From: juacrumar Date: Thu, 27 Jun 2019 16:22:42 +0200 Subject: [PATCH 428/429] now conda build SHOULD be working --- n3fit/evolven3fit/CMakeLists.txt | 16 ++++++++++------ 1 file changed, 10 insertions(+), 6 deletions(-) diff --git a/n3fit/evolven3fit/CMakeLists.txt b/n3fit/evolven3fit/CMakeLists.txt index 7aa4688cf0..316cc9a757 100644 --- a/n3fit/evolven3fit/CMakeLists.txt +++ b/n3fit/evolven3fit/CMakeLists.txt @@ -2,15 +2,19 @@ include_directories(${PROJECT_SOURCE_DIR}/nnpdfcpp/src/common/inc) include_directories(${PROJECT_SOURCE_DIR}/nnpdfcpp/src/nnfit/inc) include_directories(${PROJECT_SOURCE_DIR}/n3fit/evolven3fit) +include_directories(${PROJECT_SOURCE_DIR}/libnnpdf/src/) set(EXECUTABLE_OUTPUT_PATH ${CMAKE_BINARY_DIR}/binaries) +configure_file( + "${PROJECT_SOURCE_DIR}/libnnpdf/src/NNPDF/common.h.in" + "${PROJECT_SOURCE_DIR}/libnnpdf/src/NNPDF/common.h" + ) -# And the whole of libnnpdf -# I am 100% sure there is a better way -# but I care 0% about it atm +# To whom it may concern +# I am 100% sure there is a better way of doing all of it +# but I care 0% about it atm set(NNPDF_LDFLAGS "-L${PROJECT_BINARY_DIR}/libnnpdf/ -lnnpdf") - # Add files to the make add_executable(evolven3fit ${PROJECT_SOURCE_DIR}/n3fit/evolven3fit/evolven3fit.cc ${PROJECT_SOURCE_DIR}/nnpdfcpp/src/common/src/nnpdfsettings.cc @@ -18,12 +22,12 @@ add_executable(evolven3fit ${PROJECT_SOURCE_DIR}/n3fit/evolven3fit/evolven3fit.c ${PROJECT_SOURCE_DIR}/nnpdfcpp/src/common/src/exportgrid.cc ${PROJECT_SOURCE_DIR}/nnpdfcpp/src/nnfit/src/evolgrid.cc ) - # Set all flags set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} ${NNPDF_LDFLAGS} ${LHAPDF_LIBRARIES} ${GSL_LDFLAGS} ${APFEL_LIBRARIES} ${YAML_LDFLAGS}") + # I am pretty sure this should not be a thing string(REPLACE ";" " " CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS}") - +target_link_libraries(evolven3fit nnpdf ${LHAPDF_LIBRARIES} ${YAML_LDFLAGS} ${APFEL_LIBRARIES} ${GSL_LDFLAGS}) install(TARGETS evolven3fit DESTINATION bin PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE GROUP_READ From ba885386a84d126523fc77553b0a49c4fc0bcf0f Mon Sep 17 00:00:00 2001 From: juacrumar Date: Thu, 27 Jun 2019 23:59:55 +0200 Subject: [PATCH 429/429] changed the folder structure to be similar to vp and the name of the conda package to n3fit --- conda-recipe/meta.yaml | 2 +- n3fit/setup.py | 4 ++-- n3fit/{ => src}/n3fit/ModelTrainer.py | 0 n3fit/{ => src}/n3fit/Statistics.py | 0 n3fit/{ => src}/n3fit/__init__.py | 0 n3fit/{ => src}/n3fit/backends/__init__.py | 0 n3fit/{ => src}/n3fit/backends/keras_backend/MetaLayer.py | 0 n3fit/{ => src}/n3fit/backends/keras_backend/MetaModel.py | 0 n3fit/{ => src}/n3fit/backends/keras_backend/__init__.py | 0 n3fit/{ => src}/n3fit/backends/keras_backend/base_layers.py | 0 n3fit/{ => src}/n3fit/backends/keras_backend/debug_mode.py | 0 n3fit/{ => src}/n3fit/backends/keras_backend/losses.py | 0 n3fit/{ => src}/n3fit/backends/keras_backend/operations.py | 0 n3fit/{ => src}/n3fit/constraints.py | 0 n3fit/{ => src}/n3fit/fit.py | 0 n3fit/{ => src}/n3fit/hyper_optimization/HyperAlgorithm.py | 0 n3fit/{ => src}/n3fit/hyper_optimization/HyperScanner.py | 0 n3fit/{ => src}/n3fit/hyper_optimization/__init__.py | 0 n3fit/{ => src}/n3fit/hyper_optimization/create_testset.py | 0 n3fit/{ => src}/n3fit/hyper_optimization/filetrials.py | 0 n3fit/{ => src}/n3fit/hyper_optimization/plotting.py | 0 n3fit/{ => src}/n3fit/io/__init__.py | 0 n3fit/{ => src}/n3fit/io/reader.py | 0 n3fit/{ => src}/n3fit/io/writer.py | 0 n3fit/{ => src}/n3fit/layers/DIS.py | 0 n3fit/{ => src}/n3fit/layers/DY.py | 0 n3fit/{ => src}/n3fit/layers/Integration.py | 0 n3fit/{ => src}/n3fit/layers/Mask.py | 0 n3fit/{ => src}/n3fit/layers/Observable.py | 0 n3fit/{ => src}/n3fit/layers/Preprocessing.py | 0 n3fit/{ => src}/n3fit/layers/__init__.py | 0 n3fit/{ => src}/n3fit/model_gen.py | 0 n3fit/{ => src}/n3fit/n3fit.py | 0 n3fit/{ => src}/n3fit/readme.md | 0 34 files changed, 3 insertions(+), 3 deletions(-) rename n3fit/{ => src}/n3fit/ModelTrainer.py (100%) rename n3fit/{ => src}/n3fit/Statistics.py (100%) rename n3fit/{ => src}/n3fit/__init__.py (100%) rename n3fit/{ => src}/n3fit/backends/__init__.py (100%) rename n3fit/{ => src}/n3fit/backends/keras_backend/MetaLayer.py (100%) rename n3fit/{ => src}/n3fit/backends/keras_backend/MetaModel.py (100%) rename n3fit/{ => src}/n3fit/backends/keras_backend/__init__.py (100%) rename n3fit/{ => src}/n3fit/backends/keras_backend/base_layers.py (100%) rename n3fit/{ => src}/n3fit/backends/keras_backend/debug_mode.py (100%) rename n3fit/{ => src}/n3fit/backends/keras_backend/losses.py (100%) rename n3fit/{ => src}/n3fit/backends/keras_backend/operations.py (100%) rename n3fit/{ => src}/n3fit/constraints.py (100%) rename n3fit/{ => src}/n3fit/fit.py (100%) rename n3fit/{ => src}/n3fit/hyper_optimization/HyperAlgorithm.py (100%) rename n3fit/{ => src}/n3fit/hyper_optimization/HyperScanner.py (100%) rename n3fit/{ => src}/n3fit/hyper_optimization/__init__.py (100%) rename n3fit/{ => src}/n3fit/hyper_optimization/create_testset.py (100%) rename n3fit/{ => src}/n3fit/hyper_optimization/filetrials.py (100%) rename n3fit/{ => src}/n3fit/hyper_optimization/plotting.py (100%) rename n3fit/{ => src}/n3fit/io/__init__.py (100%) rename n3fit/{ => src}/n3fit/io/reader.py (100%) rename n3fit/{ => src}/n3fit/io/writer.py (100%) rename n3fit/{ => src}/n3fit/layers/DIS.py (100%) rename n3fit/{ => src}/n3fit/layers/DY.py (100%) rename n3fit/{ => src}/n3fit/layers/Integration.py (100%) rename n3fit/{ => src}/n3fit/layers/Mask.py (100%) rename n3fit/{ => src}/n3fit/layers/Observable.py (100%) rename n3fit/{ => src}/n3fit/layers/Preprocessing.py (100%) rename n3fit/{ => src}/n3fit/layers/__init__.py (100%) rename n3fit/{ => src}/n3fit/model_gen.py (100%) rename n3fit/{ => src}/n3fit/n3fit.py (100%) rename n3fit/{ => src}/n3fit/readme.md (100%) diff --git a/conda-recipe/meta.yaml b/conda-recipe/meta.yaml index 8c1d8a208c..55d587be6e 100644 --- a/conda-recipe/meta.yaml +++ b/conda-recipe/meta.yaml @@ -1,5 +1,5 @@ package: - name: nnpdf-tf + name: n3pdf version: "{{ GIT_DESCRIBE_TAG }}.{{ GIT_DESCRIBE_NUMBER }}+{{ GIT_DESCRIBE_HASH }}" source: diff --git a/n3fit/setup.py b/n3fit/setup.py index 2e6b8c6530..689cfaaa1b 100644 --- a/n3fit/setup.py +++ b/n3fit/setup.py @@ -3,8 +3,8 @@ setup( name="n3fit", version="0.9", - package_dir = {'':'.'}, - packages=find_packages('.'), + package_dir = {'':'src'}, + packages=find_packages('src'), entry_points = {'console_scripts': ['n3fit = n3fit.n3fit:main', diff --git a/n3fit/n3fit/ModelTrainer.py b/n3fit/src/n3fit/ModelTrainer.py similarity index 100% rename from n3fit/n3fit/ModelTrainer.py rename to n3fit/src/n3fit/ModelTrainer.py diff --git a/n3fit/n3fit/Statistics.py b/n3fit/src/n3fit/Statistics.py similarity index 100% rename from n3fit/n3fit/Statistics.py rename to n3fit/src/n3fit/Statistics.py diff --git a/n3fit/n3fit/__init__.py b/n3fit/src/n3fit/__init__.py similarity index 100% rename from n3fit/n3fit/__init__.py rename to n3fit/src/n3fit/__init__.py diff --git a/n3fit/n3fit/backends/__init__.py b/n3fit/src/n3fit/backends/__init__.py similarity index 100% rename from n3fit/n3fit/backends/__init__.py rename to n3fit/src/n3fit/backends/__init__.py diff --git a/n3fit/n3fit/backends/keras_backend/MetaLayer.py b/n3fit/src/n3fit/backends/keras_backend/MetaLayer.py similarity index 100% rename from n3fit/n3fit/backends/keras_backend/MetaLayer.py rename to n3fit/src/n3fit/backends/keras_backend/MetaLayer.py diff --git a/n3fit/n3fit/backends/keras_backend/MetaModel.py b/n3fit/src/n3fit/backends/keras_backend/MetaModel.py similarity index 100% rename from n3fit/n3fit/backends/keras_backend/MetaModel.py rename to n3fit/src/n3fit/backends/keras_backend/MetaModel.py diff --git a/n3fit/n3fit/backends/keras_backend/__init__.py b/n3fit/src/n3fit/backends/keras_backend/__init__.py similarity index 100% rename from n3fit/n3fit/backends/keras_backend/__init__.py rename to n3fit/src/n3fit/backends/keras_backend/__init__.py diff --git a/n3fit/n3fit/backends/keras_backend/base_layers.py b/n3fit/src/n3fit/backends/keras_backend/base_layers.py similarity index 100% rename from n3fit/n3fit/backends/keras_backend/base_layers.py rename to n3fit/src/n3fit/backends/keras_backend/base_layers.py diff --git a/n3fit/n3fit/backends/keras_backend/debug_mode.py b/n3fit/src/n3fit/backends/keras_backend/debug_mode.py similarity index 100% rename from n3fit/n3fit/backends/keras_backend/debug_mode.py rename to n3fit/src/n3fit/backends/keras_backend/debug_mode.py diff --git a/n3fit/n3fit/backends/keras_backend/losses.py b/n3fit/src/n3fit/backends/keras_backend/losses.py similarity index 100% rename from n3fit/n3fit/backends/keras_backend/losses.py rename to n3fit/src/n3fit/backends/keras_backend/losses.py diff --git a/n3fit/n3fit/backends/keras_backend/operations.py b/n3fit/src/n3fit/backends/keras_backend/operations.py similarity index 100% rename from n3fit/n3fit/backends/keras_backend/operations.py rename to n3fit/src/n3fit/backends/keras_backend/operations.py diff --git a/n3fit/n3fit/constraints.py b/n3fit/src/n3fit/constraints.py similarity index 100% rename from n3fit/n3fit/constraints.py rename to n3fit/src/n3fit/constraints.py diff --git a/n3fit/n3fit/fit.py b/n3fit/src/n3fit/fit.py similarity index 100% rename from n3fit/n3fit/fit.py rename to n3fit/src/n3fit/fit.py diff --git a/n3fit/n3fit/hyper_optimization/HyperAlgorithm.py b/n3fit/src/n3fit/hyper_optimization/HyperAlgorithm.py similarity index 100% rename from n3fit/n3fit/hyper_optimization/HyperAlgorithm.py rename to n3fit/src/n3fit/hyper_optimization/HyperAlgorithm.py diff --git a/n3fit/n3fit/hyper_optimization/HyperScanner.py b/n3fit/src/n3fit/hyper_optimization/HyperScanner.py similarity index 100% rename from n3fit/n3fit/hyper_optimization/HyperScanner.py rename to n3fit/src/n3fit/hyper_optimization/HyperScanner.py diff --git a/n3fit/n3fit/hyper_optimization/__init__.py b/n3fit/src/n3fit/hyper_optimization/__init__.py similarity index 100% rename from n3fit/n3fit/hyper_optimization/__init__.py rename to n3fit/src/n3fit/hyper_optimization/__init__.py diff --git a/n3fit/n3fit/hyper_optimization/create_testset.py b/n3fit/src/n3fit/hyper_optimization/create_testset.py similarity index 100% rename from n3fit/n3fit/hyper_optimization/create_testset.py rename to n3fit/src/n3fit/hyper_optimization/create_testset.py diff --git a/n3fit/n3fit/hyper_optimization/filetrials.py b/n3fit/src/n3fit/hyper_optimization/filetrials.py similarity index 100% rename from n3fit/n3fit/hyper_optimization/filetrials.py rename to n3fit/src/n3fit/hyper_optimization/filetrials.py diff --git a/n3fit/n3fit/hyper_optimization/plotting.py b/n3fit/src/n3fit/hyper_optimization/plotting.py similarity index 100% rename from n3fit/n3fit/hyper_optimization/plotting.py rename to n3fit/src/n3fit/hyper_optimization/plotting.py diff --git a/n3fit/n3fit/io/__init__.py b/n3fit/src/n3fit/io/__init__.py similarity index 100% rename from n3fit/n3fit/io/__init__.py rename to n3fit/src/n3fit/io/__init__.py diff --git a/n3fit/n3fit/io/reader.py b/n3fit/src/n3fit/io/reader.py similarity index 100% rename from n3fit/n3fit/io/reader.py rename to n3fit/src/n3fit/io/reader.py diff --git a/n3fit/n3fit/io/writer.py b/n3fit/src/n3fit/io/writer.py similarity index 100% rename from n3fit/n3fit/io/writer.py rename to n3fit/src/n3fit/io/writer.py diff --git a/n3fit/n3fit/layers/DIS.py b/n3fit/src/n3fit/layers/DIS.py similarity index 100% rename from n3fit/n3fit/layers/DIS.py rename to n3fit/src/n3fit/layers/DIS.py diff --git a/n3fit/n3fit/layers/DY.py b/n3fit/src/n3fit/layers/DY.py similarity index 100% rename from n3fit/n3fit/layers/DY.py rename to n3fit/src/n3fit/layers/DY.py diff --git a/n3fit/n3fit/layers/Integration.py b/n3fit/src/n3fit/layers/Integration.py similarity index 100% rename from n3fit/n3fit/layers/Integration.py rename to n3fit/src/n3fit/layers/Integration.py diff --git a/n3fit/n3fit/layers/Mask.py b/n3fit/src/n3fit/layers/Mask.py similarity index 100% rename from n3fit/n3fit/layers/Mask.py rename to n3fit/src/n3fit/layers/Mask.py diff --git a/n3fit/n3fit/layers/Observable.py b/n3fit/src/n3fit/layers/Observable.py similarity index 100% rename from n3fit/n3fit/layers/Observable.py rename to n3fit/src/n3fit/layers/Observable.py diff --git a/n3fit/n3fit/layers/Preprocessing.py b/n3fit/src/n3fit/layers/Preprocessing.py similarity index 100% rename from n3fit/n3fit/layers/Preprocessing.py rename to n3fit/src/n3fit/layers/Preprocessing.py diff --git a/n3fit/n3fit/layers/__init__.py b/n3fit/src/n3fit/layers/__init__.py similarity index 100% rename from n3fit/n3fit/layers/__init__.py rename to n3fit/src/n3fit/layers/__init__.py diff --git a/n3fit/n3fit/model_gen.py b/n3fit/src/n3fit/model_gen.py similarity index 100% rename from n3fit/n3fit/model_gen.py rename to n3fit/src/n3fit/model_gen.py diff --git a/n3fit/n3fit/n3fit.py b/n3fit/src/n3fit/n3fit.py similarity index 100% rename from n3fit/n3fit/n3fit.py rename to n3fit/src/n3fit/n3fit.py diff --git a/n3fit/n3fit/readme.md b/n3fit/src/n3fit/readme.md similarity index 100% rename from n3fit/n3fit/readme.md rename to n3fit/src/n3fit/readme.md